Xiaoqi Li

Since its inception, the blockchain technology has shown promising application prospects. From the initial cryptocurrency to the current smart contract, blockchain has been applied to many fields. Although there are some studies on the security and privacy issues of blockchain, there lacks a systematic examination on the security of blockchain systems. In this paper, we conduct a systematic study on the security threats to blockchain and survey the corresponding real attacks by examining popular blockchain systems. We also review the security enhancement solutions for blockchain, which could be used in the development of various blockchain systems, and suggest some future directions to stir research efforts into this area.

Due to the persistence of metals in the ecosystem and their threat to all living organisms, effects of heavy metal on soil microbial communities were widely studied. However, little was known about the interactions among microorganisms in heavy metal-contaminated soils. In the present study, microbial communities in Non (CON), moderately (CL) and severely (CH) contaminated soils were investigated through high-throughput Illumina sequencing of 16s rRNA gene amplicons, and networks were constructed to show the interactions among microbes. Results showed that the microbial community composition was significantly, while the microbial diversity was not significantly affected by heavy metal contamination. Bacteria showed various response to heavy metals. Bacteria that positively correlated with Cd, e.g. Acidobacteria_Gp and Proteobacteria_thiobacillus, had more links between nodes and more positive interactions among microbes in CL- and CH-networks, while bacteria that negatively correlated with Cd, e.g. Longilinea, Gp2 and Gp4 had fewer network links and more negative interactions in CL and CH-networks. Unlike bacteria, members of the archaeal domain, i.e. phyla Crenarchaeota and Euryarchaeota, class Thermoprotei and order Thermoplasmatales showed only positive correlation with Cd and had more network interactions in CH-networks. The present study indicated that (i) the microbial community composition, as well as network interactions was shift to strengthen adaptability of microorganisms to heavy metal contamination, (ii) archaea were resistant to heavy metal contamination and may contribute to the adaption to heavy metals. It was proposed that the contribution might be achieved either by improving environment conditions or by cooperative interactions.

Smart contracts are full-fledged programs that run on blockchains (e.g., Ethereum, one of the most popular blockchains). In Ethereum, gas (in Ether, a cryptographic currency like Bitcoin) is the execution fee compensating the computing resources of miners for running smart contracts. However, we find that under-optimized smart contracts cost more gas than necessary, and therefore the creators or users will be overcharged. In this work, we conduct the first investigation on Solidity, the recommended compiler, and reveal that it fails to optimize gas-costly programming patterns. In particular, we identify 7 gas-costly patterns and group them to 2 categories. Then, we propose and develop GASPER, a new tool for automatically locating gas-costly patterns by analyzing smart contracts' bytecodes. The preliminary results on discovering 3 representative patterns from 4,240 real smart contracts show that 93.5%, 90.1% and 80% contracts suffer from these 3 patterns, respectively.

To evaluate the effects of mild to moderate blast-related traumatic brain injury (TBI) on the microstructure of brain white matter (WM) and neurobehavioral outcomes, we studied 37 veterans and service members (mean age 31.5 years, SD = 7.2; post-injury interval 871.5 days; SD = 343.1), whose report of acute neurological status was consistent with sustaining mild to moderate TBI due to blast while serving in Iraq or Afghanistan. Fifteen veterans without a history of TBI or exposure to blast (mean age 31.4 years, SD = 5.4) served as a comparison group, including seven subjects with extracranial injury (post-injury interval 919.5 days, SD = 455.1), and eight who were uninjured. Magnetic resonance imaging disclosed focal lesions in five TBI participants. Post-concussion symptoms (Neurobehavioral Symptom Inventory), post-traumatic stress disorder (PTSD) symptoms (PTSD Checklist-Civilian), and global distress and depression (Brief Symptom Inventory) were worse in the TBI participants than the comparison group, but no group differences were found in perceived physical or mental functioning (SF-12). Verbal memory (Selective Reminding) was less efficient in the TBI group, but there were no group differences in nonverbal memory (Selective Reminding) or decision making (Iowa Gambling Task). Verbal memory in the TBI group was unrelated to PTSD severity. Diffusion tensor imaging (DTI) using tractography, standard single-slice region-of-interest measurement, and voxel-based analysis disclosed no group differences in fractional anisotropy (FA) and apparent diffusion coefficient (ADC). However, FA of the left and right posterior internal capsule and left corticospinal tract was positively correlated with total words consistently recalled, whereas ADC for the left and right uncinate fasciculi and left posterior internal capsule was negatively correlated with this measure of verbal memory. Correlations of DTI variables with symptom measures were non-significant and inconsistent. Our data do not show WM injury in mild to moderate blast-related TBI in veterans despite their residual symptoms and difficulty in verbal memory. Limitations of the study and implications for future research are also discussed.

Development of technologies for air filtration and purification is critical to meet the global challenges of threatened human health and accelerated greenhouse effect, especially for point-of-use applications. Here, we report a novel electreted polyetherimide–silica (PEI–SiO2) fibrous membrane by a single-step strategy to achieve effective filtration of fine particles. The hierarchical structured PEI–SiO2 membranes were endowed with promising superhydrophobicity with a water contact angle of 152°, allowing their better self-cleaning performance compared with commercial polypropylene (PP) filter media. Morphology, electric charge property, porous structure, and filtration performance could be regulated by tuning the type and concentration of electrets as well as the solution properties. Furthermore, unlike the commercial PP-based filter media, the as-prepared membranes can be treated at 200 °C for 30 min without sacrificing filtration efficiency (99.992%) and pressure drop (61 Pa) owing to the combined contribution of polarization and space charges. We anticipate that this promising electreted fibrous medium will act as a core part of numerous air filtration systems, including ultra-low penetration air filters, clean room, respirator, and protective clothing.

Being the largest blockchain with the capability of running smart contracts, Ethereum has attracted wide attention and its market capitalization has reached 20 billion USD. Ethereum not only supports its cryptocurrency named Ether but also provides a decentralized platform to execute smart contracts in the Ethereum virtual machine. Although Ether's price is approaching 200 USD and nearly 600K smart contracts have been deployed to Ethereum, little is known about the characteristics of its users, smart contracts, and the relationships among them. To fill in the gap, in this paper, we conduct the first systematic study on Ethereum by leveraging graph analysis to characterize three major activities on Ethereum, namely money transfer, smart contract creation, and smart contract invocation. We design a new approach to collect all transaction data, construct three graphs from the data to characterize major activities, and discover new observations and insights from these graphs. Moreover, we propose new approaches based on cross-graph analysis to address two security issues in Ethereum. The evaluation through real cases demonstrates the effectiveness of our new approaches.

To investigate the efficacy and safety of ixekizumab in patients with active radiographic axial spondyloarthritis (SpA) and prior inadequate response to or intolerance of 1 or 2 tumor necrosis factor inhibitors (TNFi).In this phase III randomized, double-blind, placebo-controlled trial, adult patients with an inadequate response to or intolerance of 1 or 2 TNFi and an established diagnosis of axial SpA (according to the Assessment of SpondyloArthritis international Society [ASAS] criteria for radiographic axial SpA, with radiographic sacroiliitis defined according to the modified New York criteria and ≥1 feature of SpA) were recruited and randomized 1:1:1 to receive placebo or 80-mg subcutaneous ixekizumab every 2 weeks (IXEQ2W) or 4 weeks (IXEQ4W), with an 80-mg or 160-mg starting dose. The primary end point was 40% improvement in disease activity according to the ASAS criteria (ASAS40) at week 16. Secondary outcomes and safety were also assessed.A total of 316 patients were randomized to receive placebo (n = 104), IXEQ2W (n = 98), or IXEQ4W (n = 114). At week 16, significantly higher proportions of IXEQ2W patients (n = 30 [30.6%]; P = 0.003) or IXEQ4W patients (n = 29 [25.4%]; P = 0.017) had achieved an ASAS40 response versus the placebo group (n = 13 [12.5%]), with statistically significant differences reported as early as week 1 with ixekizumab treatment. Statistically significant improvements in disease activity, function, quality of life, and spinal magnetic resonance imaging-evident inflammation were observed after 16 weeks of ixekizumab treatment versus placebo. Treatment-emergent adverse events (AEs) with ixekizumab treatment were more frequent than with placebo. Serious AEs were similar across treatment arms. One death was reported (IXEQ2W group).Ixekizumab treatment for 16 weeks in patients with active radiographic axial SpA and previous inadequate response to or intolerance of 1 or 2 TNFi yields rapid and significant improvements in the signs and symptoms of radiographic axial SpA versus placebo.

Ixekizumab, a high-affinity interleukin-17A (IL-17A) monoclonal antibody, has previously shown efficacy in radiographic axial spondyloarthritis (also known as ankylosing spondylitis). We aimed to evaluate the efficacy and safety of ixekizumab, an IL-17 inhibitor, in non-radiographic axial spondyloarthritis. Here, we report the primary results of COAST-X.COAST-X was a 52-week, randomised, double-blind, placebo-controlled, parallel-group study done at 107 sites in 15 countries in Europe, Asia, North America, and South America. Eligible participants were adults (aged ≥18 years) with active axial spondyloarthritis without definite radiographic sacroiliitis (non-radiographic axial spondyloarthritis), objective signs of inflammation (via MRI or C-reactive protein), and an inadequate response or intolerance to non-steroidal anti-inflammatory drugs (NSAIDs). Patients were randomly assigned (1:1:1) to receive subcutaneous 80 mg ixekizumab every 4 weeks (Q4W) or every 2 weeks (Q2W), or placebo. Changing background medications or switching to open-label ixekizumab Q2W, or both, was allowed after week 16 at investigator discretion. Primary endpoints were Assessment of SpondyloArthritis international Society-40 (ASAS40) response (defined as an improvement of 40% or more and an absolute improvement from baseline of 2 units or more [range 0-10] in at least three of the four domains [patient global, spinal pain, function, and inflammation] without any worsening in the remaining one domain) at weeks 16 and 52. Patients who switched to open-label ixekizumab were imputed as non-responders in logistic regression analysis. This trial is registered with ClinicalTrials.gov, number NCT02757352.Between Aug 2, 2016, and Jan 29, 2018, 303 patients were enrolled (105 to placebo, 96 to ixekizumab Q4W, and 102 to ixekizumab Q2W). Both primary endpoints were met: ASAS40 at week 16 (ixekizumab Q4W: 34 [35%] of 96, p=0·0094 vs placebo; ixekizumab Q2W: 41 [40%] of 102, p=0·0016; placebo: 20 [19%] of 105) and ASAS40 at week 52 (ixekizumab Q4W: 29 [30%] of 96, p=0·0045; ixekizumab Q2W: 32 [31%] of 102, p=0·0037; placebo: 14 [13%] of 105). 60 (57%) of 104 patients in the placebo group, 63 (66%) of 96 in the ixekizumab Q4W group, and 79 (77%) of 102 in the ixekizumab Q2W group had at least one treatment-emergent adverse event. The most common treatment-emergent adverse events in the ixekizumab groups were nasopharyngitis and injection site reaction. Of the treatment-emergent adverse events of special interest, there was one case of serious infection in the ixekizumab Q4W group. The frequency of serious adverse events was low (four [1%] of 302) and similar across the three groups. There were no malignancies or deaths. No new safety signals were identified.Ixekizumab was superior to placebo for improving signs and symptoms in patients with non-radiographic axial spondyloarthritis at weeks 16 and 52. Reports of adverse events were similar to those of previous ixekizumab studies. Ixekizumab offers a potential therapeutic option for patients with non-radiographic axial spondyloarthritis who had an inadequate response or were intolerant to NSAID therapy.Eli Lilly and Company.

With the development of Computer-aided Diagnosis (CAD) and image scanning techniques, Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis. Therefore, WSI analysis has become the key to modern digital histopathology. Since 2004, WSI has been used widely in CAD. Since machine vision methods are usually based on semi-automatic or fully automatic computer algorithms, they are highly efficient and labor-saving. The combination of WSI and CAD technologies for segmentation, classification, and detection helps histopathologists to obtain more stable and quantitative results with minimum labor costs and improved diagnosis objectivity. This paper reviews the methods of WSI analysis based on machine learning. Firstly, the development status of WSI and CAD methods are introduced. Secondly, we discuss publicly available WSI datasets and evaluation metrics for segmentation, classification, and detection tasks. Then, the latest development of machine learning techniques in WSI segmentation, classification, and detection are reviewed. Finally, the existing methods are studied, and the application prospects of the methods in this field are forecasted.

Freestanding membrane electrodes with a high electrocatalytic activity and stability are desirable for use in high-performance metal-air batteries. Here, we report a gas-phase fluorination-assisted method to anchor single atom Fe-Nx moieties on a freestanding single-wall carbon nanotube (SWCNT) film that involves fluorination and defluorination/ammoniation processes. It is shown that the fluorination followed by defluorination/ammoniation harvests Fe atoms from the residual Fe nanoparticles used for SWCNT growth to form high density of Fe-Nx active sites, while retaining the flexibility, integrity and high quality of the films so that they can be directly used as a bifunctional oxygen electrode for rechargeable Zn-Air batteries. The single-atom Fe-Nx loaded SWCNT film shows an even better catalytic activity than commercial Pt/C-Ir/C catalysts, and an assembled Zn-Air battery using it exhibits a low charge-discharge voltage gap of 0.84 V under 20 mA/cm2, a high peak power density of 210 mW/cm2, and excellent long-time cycling stability. In addition, a flexible all-solid-state Zn-Air battery was assembled which has a stable open circuit voltage when bent to different angles.

Abstract The wearable lower limb exoskeleton is a typical human-in-loop human–robot coupled system, which conducts natural and close cooperation with the human by recognizing human locomotion timely. Requiring subject-specific training is the main challenge of the existing approaches, and most methods have the problem of insufficient recognition. This paper proposes an integral subject-adaptive real-time Locomotion Mode Recognition (LMR) method based on GA-CNN for a lower limb exoskeleton system. The LMR method is a combination of Convolutional Neural Networks (CNN) and Genetic Algorithm (GA)-based multi-sensor information selection. To improve network performance, the hyper-parameters are optimized by Bayesian optimization. An exoskeleton prototype system with multi-type sensors and novel sensing-shoes is used to verify the proposed method. Twelve locomotion modes, which composed an integral locomotion system for the daily application of the exoskeleton, can be recognized by the proposed method. According to a series of experiments, the recognizer shows strong comprehensive abilities including high accuracy, low delay, and sufficient adaption to different subjects.

Diffusion tensor imaging (DTI) is a recent imaging technique that assesses the microstructure of the cerebral white matter (WM) based on anisotropic diffusion (i.e., water molecules move faster in parallel to nerve fibers than perpendicular to them). Fractional anisotropy (FA), which ranges from 0 to 1.0, increases with myelination of WM tracts and is sensitive to diffuse axonal injury (DAI) in adults with traumatic brain injury (TBI). However, previous DTI studies of pediatric TBI were case reports without detailed outcome measures. Using mean FA derived from DTI fiber tractography, we compared DTI findings of the corpus callosum for 16 children who were at least 1 year (mean 3.1 years) post-severe TBI and individually matched, uninjured children. Interexaminer and intraexaminer reliability in measuring FA was satisfactory. FA was significantly lower in the patients for the genu, body, and splenium of the corpus callosum. Higher FA was related to increased cognitive processing speed and faster interference resolution on an inhibition task. In the TBI patients, higher FA was related to better functional outcome as measured by the dichotomized Glasgow Outcome Scale (GOS). FA also increased as a function of the area of specific regions of the corpus callosum such as the genu and splenium, and FA in the splenium was reduced with greater volume of lesions in this region. DTI may be useful in identifying biomarkers related to DAI and outcome of TBI in children.

In vivo MRI volumetric analysis enables investigators to evaluate the extent of tissue loss following traumatic brain injury (TBI). However, volumetric studies of pediatric TBI are sparse, and there have been no volumetric studies to date in children examining specific subregions of the prefrontal and temporal lobes. In this study, MRI volumetry was used to evaluate brain volume differences in the whole brain, and prefrontal, temporal, and posterior regions of children following moderate to severe TBI as compared to uninjured children of similar age and demographic characteristics. The TBI group had significantly reduced whole brain, and prefrontal and temporal regional tissue volumes as well as increased cerebrospinal fluid (CSF). Confidence interval testing further revealed group differences on gray matter (GM) and white matter (WM) in the superior medial and ventromedial prefrontal regions, WM in the lateral frontal region, and GM, WM, and CSF in the temporal region. Whole brain volume and total brain GM were reduced, and total ventricular volume, total CSF volume, and ventricle-to-brain ratio (VBR) were increased in the TBI group. Additional analyses comparing volumetric data from typically developing children and subgroups of TBI patients with and without regional focal lesions suggested that GM loss in the frontal areas was primarily attributable to focal injury, while WM loss in the frontal and temporal lobes was related to both diffuse and focal injury. Finally, volumetric measures of preserved frontotemporal tissue were related to functional recovery as measured by the Glasgow Outcome Scale (adapted for children) with greater tissue preservation predicting better recovery.

Objective To investigate the relation of white matter integrity using diffusion tensor imaging (DTI) to cognitive and functional outcome of moderate to severe traumatic brain injury (TBI) in children. Design Prospective observational study of children who had sustained moderate to severe TBI and a comparison group of children who had sustained orthopedic injury (OI). Participants Thirty-two children who had sustained moderate to severe TBI and 36 children with OI were studied. Methods Fiber tracking analysis of DTI acquired at 3-month postinjury and assessment of global outcome and cognitive function within 2 weeks of brain imaging. Global outcome was assessed using the Glasgow Outcome Scale and the Flanker task was used to measure cognitive processing speed and resistance to interference. Results Fractional anisotropy and apparent diffusion coefficient values differentiated the groups and both cognitive and functional outcome measures were related to the DTI findings. Dissociations were present wherein the relation of Fractional anisotropy to cognitive performance differed between the TBI and OI groups. A DTI composite measure of white matter integrity was related to global outcome in the children with TBI. Conclusions DTI is sensitive to white matter injury at 3 months following moderate to severe TBI in children, including brain regions that appear normal on conventional magnetic resonance imaging. DTI measures reflecting diffusion of water parallel and perpendicular to white matter tracts as calculated by fiber tracking analysis are related to global outcome, cognitive processing speed, and speed of resolving interference in children with moderate to severe TBI. Longitudinal data are needed to determine whether these relations between DTI and neurobehavioral outcome of TBI in children persist at longer follow-up intervals.

Background: Atrophy of the corpus callosum (CC) is a documented consequence of moderate-to-severe traumatic brain injury (TBI), which has been expressed as volume loss using quantitative magnetic resonance imaging (MRI). Other advanced imaging modalities such as diffusion tensor imaging (DTI) have also detected white matter microstructural alteration following TBI in the CC. The manner and degree to which macrostructural changes such as volume and microstructural changes develop over time following pediatric TBI, and their relation to a measure of processing speed is the focus of this longitudinal investigation. As such, DTI and volumetric changes in the CC in participants with TBI and a comparison group at approximately 3 and 18 months after injury as well as their relation to processing speed were determined. Methods: Forty-eight children and adolescents aged 7–17 years who sustained either complicated mild or moderate-to-severe TBI (n = 23) or orthopedic injury (OI; n = 25) were studied. The participants underwent brain MRI and were administered the Eriksen flanker task at both time points. Results: At 3 months after injury, there were significant group differences in DTI metrics in the total CC and its subregions (genu/anterior, body/central and splenium/posterior), with the TBI group demonstrating significantly lower fractional anisotropy (FA) and a higher apparent diffusion coefficient (ADC) in comparison to the OI group. These group differences were also present at 18 months after injury in all CC subregions, with lower FA and a higher ADC in the TBI group. In terms of longitudinal changes in DTI, despite the group difference in mean FA, both groups generally demonstrated a modest increase in FA over time though this increase was only significant in the splenium/posterior subregion. Interestingly, the TBI group also generally demonstrated ADC increases from 3 to 18 months though the OI group demonstrated ADC decreases over time. Volumetrically, the group differences at 3 months were marginal for the midanterior and body/central subregions and total CC. However, by 18 months, the TBI group demonstrated a significantly decreased volume in all subregions except the splenium/posterior area relative to the OI group. Unlike the OI group, which showed a significant volume increase in subregions of the CC over time, the TBI group demonstrated a significant and consistent volume decrease. Performance on a measure of processing speed did not differentiate the groups at either visit, and only the OI group showed significantly improved performance over time. Processing speed was related to FA in the splenium/posterior and total CC only in the TBI group on both occasions, with a stronger relation at 18 months. Conclusion: In response to TBI, macrostructural volume loss in the CC occurred over time; yet, at the microstructural level, DTI demonstrated both indicators of continued maturation and development even in the damaged CC, as well as evidence of potential degenerative change. Unlike volumetrics, which likely reflects the degree of overall neuronal loss and axonal damage, DTI may reflect some aspects of postinjury maturation and adaptation in white matter following TBI. Multimodality imaging studies may be important to further understand the long-term consequences of pediatric TBI.

The very close structural similarities between cysteine and homocysteine present a great challenge to achieve their selective detection using regular fluorescent probes, limiting the biological and pathological studies of these two amino thiols. A coumarin-based fluorescent probe was designed featuring pH-promoted distinct turn-on followed by ratiometric fluorescence responses for Cys and turn-on fluorescence response for Hcy through two different reaction paths. These specific responses demonstrate the activity differences between Cys and Hcy qualitatively for the first time. The probe could also be used for Cys and Hcy imaging in living cells.

Compromised memory functioning is one of the commonly reported cognitive sequelae seen following mild traumatic brain injury (mTBI). Diffusion tensor imaging (DTI) has been shown to be sufficiently sensitive at detecting early microstructural pathological alterations after mTBI. Given its location and shape, the cingulate, which is comprised of the cingulate gyrus (gray matter) and cingulum bundles (white matter), is selectively vulnerable to mTBI. In this study we examined the integrity of cingulum bundles using DTI, and the relationship between cingulum bundles and memory functioning. Twelve adolescents with mTBI and 11 demographically-matched healthy controls were studied. All participants with mTBI had a Glasgow Coma Scale score of 15, and were without intracranial findings on CT scan. Brain scans were performed on average 2.92 days post-injury, and all participants were administered the Verbal Selective Reminding Test (VSRT), an episodic verbal learning and memory task. Participants with mTBI had a significantly lower apparent diffusion coefficient (ADC) bilaterally than controls (p < 0.001). Despite the marginal significance of the group difference in fractional anisotropy (FA), the effect size between groups was moderate (d = 0.66). Cognitively, healthy controls performed better than the TBI group on immediate and delayed recall; however, the difference did not reach statistical significance. In the mTBI group, FA of the left cingulum bundle was significantly correlated with 30-min delayed recall (r = -0.56, p = 0.05). A marginally significant correlation was found between ADC of the left cingulum bundle and the total words of immediate recall (r = 0.59, p = 0.07). No significant correlation was found between DTI metrics and memory functioning for the control group. These preliminary findings indicate that cingulate injury likely contributes to the cognitive sequelae seen during the early phase post-mTBI.

The aim of this study was to determine whether the presence of intracranial pathophysiology on computed tomography (CT) scans obtained within 24 hours of mild traumatic brain injury (MTBI) in children adversely affects neuropsychological outcome during the 1st year postinjury.A prospective longitudinal design was used to examine the neuropsychological outcomes in children (ages 5-15 years) who had been treated for MTBI, which was defined as a loss of consciousness for up to 30 minutes and a lowest Glasgow Coma Scale (GCS) score of 13-15. Exclusion criteria included any preinjury neurological disorder. Outcome assessments were performed within 2 weeks and at 3, 6, and 12 months postinjury. Outcomes were compared between patients with MTBI whose postinjury CT scans revealed complications of brain pathophysiology (32 patients, CMTBI group) and those with MTBI but without complications (48 patients, MTBI group).Significant interactions confirmed that the pattern of recovery over 12 months after injury differed depending on the intracranial pathology, presence and severity of injuries to body regions other than the head, preinjury attention-deficit hyperactivity disorder (ADHD), and socioeconomic status. Children in the CMTBI group had significantly poorer episodic memory, slower cognitive processing, diminished recovery in managing cognitive interference, and poorer performance in calculating and reading than patients in the MTBI group. Among the patients with mild or no extracranial injury, visuomotor speed was slower in those in the CMTBI group; and among patients without preinjury ADHD, working memory was worse in those in the CMTBI group.Neuropsychological recovery during the 1st year following MTBI is related to the presence of radiographically detectable intracranial pathology. Children with intracranial pathology on acute CT performed more poorly in several cognitive domains when compared with patients whose CT findings were normal or limited to a linear skull fracture. Depending on the presence of preinjury ADHD and concomitant extracranial injury, working memory and visuomotor speed were also diminished in patients whose CT findings revealed complications following MTBI. Computed tomography within 24 hours postinjury appears to be useful for identifying children with an elevated risk for residual neuropsychological changes.

Since its inception, the blockchain technology has shown promising application prospects. From the initial cryptocurrency to the current smart contract, blockchain has been applied to many fields. Although there are some studies on the security and privacy issues of blockchain, there lacks a systematic examination on the security of blockchain systems. In this paper, we conduct a systematic study on the security threats to blockchain and survey the corresponding real attacks by examining popular blockchain systems. We also review the security enhancement solutions for blockchain, which could be used in the development of various blockchain systems, and suggest some future directions to stir research efforts into this area.

Although most patients with mild traumatic brain injury (mTBI) recover within 3 months, a subgroup of patients experience persistent symptoms. Yet, the prevalence and predictors of persistent dysfunction in patients with mTBI remain poorly understood. In a longitudinal study, we evaluated predictors of symptomatic and cognitive dysfunction in adolescents and young adults with mTBI, compared with two control groups-patients with orthopedic injuries and healthy uninjured individuals. Outcomes were assessed at 3 months post-injury. Poor symptomatic outcome was defined as exhibiting a symptom score higher than 90% of the orthopedic control (OC) group, and poor cognitive outcome was defined as exhibiting cognitive performance poorer than 90% of the OC group. At 3 months post-injury, more than half of the patients with mTBI (52%) exhibited persistently elevated symptoms, and more than a third (36.4%) exhibited poor cognitive outcome. The rate of high symptom report in mTBI was markedly greater than that of typically developing (13%) and OC (17%) groups; the proportion of those with poor cognitive performance in the mTBI group exceeded that of typically developing controls (15.8%), but was similar to that of the OC group (34.9%). Older age at injury, female sex, and acute symptom report were predictors of poor symptomatic outcome at 3 months. Socioeconomic status was the only significant predictor of poor cognitive outcome at 3 months.

Acidithiobacillus thiooxidans (A. thiooxidans), a chemolithoautotrophic extremophile, is widely used in the industrial recovery of copper (bioleaching or biomining). The organism grows and survives by autotrophically utilizing energy derived from the oxidation of elemental sulfur and reduced inorganic sulfur compounds (RISCs). However, the lack of genetic manipulation systems has restricted our exploration of its physiology. With the development of high-throughput sequencing technology, the whole genome sequence analysis of A. thiooxidans has allowed preliminary models to be built for genes/enzymes involved in key energy pathways like sulfur oxidation. The genome of A. thiooxidans A01 was sequenced and annotated. It contains key sulfur oxidation enzymes involved in the oxidation of elemental sulfur and RISCs, such as sulfur dioxygenase (SDO), sulfide quinone reductase (SQR), thiosulfate:quinone oxidoreductase (TQO), tetrathionate hydrolase (TetH), sulfur oxidizing protein (Sox) system and their associated electron transport components. Also, the sulfur oxygenase reductase (SOR) gene was detected in the draft genome sequence of A. thiooxidans A01, and multiple sequence alignment was performed to explore the function of groups of related protein sequences. In addition, another putative pathway was found in the cytoplasm of A. thiooxidans, which catalyzes sulfite to sulfate as the final product by phosphoadenosine phosphosulfate (PAPS) reductase and adenylylsulfate (APS) kinase. This differs from its closest relative Acidithiobacillus caldus, which is performed by sulfate adenylyltransferase (SAT). Furthermore, real-time quantitative PCR analysis showed that most of sulfur oxidation genes were more strongly expressed in the S0 medium than that in the Na2S2O3 medium at the mid-log phase. Sulfur oxidation model of A. thiooxidans A01 has been constructed based on previous studies from other sulfur oxidizing strains and its genome sequence analyses, providing insights into our understanding of its physiology and further analysis of potential functions of key sulfur oxidation genes.

Understanding the role of microbes in the solubility of cadmium (Cd) is of fundamental importance for remediation of Cd toxicity. The present study aimed to identify the microbes that involved in regulating Cd solubility and to reveal possible mechanisms. Therefore, microbial communities were investigated through high-throughput sequencing approach, the molecular ecological network was constructed and metagenomes were predicted. Our results indicated that redox conditions affected both the solubility of soil Cd and the microbial communities. Anaerobic microbes, such as Anaerolineaceae, did not only play important roles in shaping the microbial community in soils, but might also be involved in regulating the Cd solubility. Two possible mechanisms that how Anaerolineaceae involved in Cd solubility are (1) Anaerolineaceae are important organic matter degraders under anoxic conditions and (2) Anaerolineaceae can co-exist with methane metabolism microbes, while methane metabolism promotes the precipitation of soluble Cd. Thus, application of Anaerolineaceae in bioremediation of soil Cadmium contamination is a potential approach. The study provided a novel insight into the role of microbial community in the regulation of Cd solubility under different redox conditions, and suggested a potential approach for the remediation of soil Cd contamination.

Here we describe a formaldehyde sensor fabricated by coating polyethyleneimine (PEI) functionalized chitosan nanofiber-net-binary structured layer on quartz crystal microbalance (QCM). The chitosan fibrous substrate comprising nanofibers and spider-web-like nano-nets constructed by a facile electro-spinning/netting process provided an ideal structure for the uniform PEI modification and sensing performance enhancement. Benefiting from the fascinating nanostructure, abundant primary amine groups of PEI, and strong adhesive force to the QCM electrode of PEI–chitosan membranes, the developed formaldehyde sensor presented rapid response and low detection limit (5 ppm) at room temperature. These findings have important implications in fabricating multi-dimensional nanostructures on QCM for gas sensing and chemical analysis.

The gas mechanism in Ethereum charges the execution of every operation to ensure that smart contracts running in EVM (Ethereum Virtual Machine) will be eventually terminated. Failing to properly set the gas costs of EVM operations allows attackers to launch DoS attacks on Ethereum. Although Ethereum recently adjusted the gas costs of EVM operations to defend against known DoS attacks, it remains unknown whether the new setting is proper and how to configure it to defend against unknown DoS attacks. In this paper, we make the first step to address this challenging issue by first proposing an emulation-based framework to automatically measure the resource consumptions of EVM operations. The results reveal that Ethereum’s new setting is still not proper. Moreover, we obtain an insight that there may always exist exploitable under-priced operations if the cost is fixed. Hence, we propose a novel gas cost mechanism, which dynamically adjusts the costs of EVM operations according to the number of executions, to thwart DoS attacks. This method punishes the operations that are executed much more frequently than before and lead to high gas costs. To make our solution flexible and secure and avoid frequent update of Ethereum client, we design a special smart contract that collaborates with the updated EVM for dynamic parameter adjustment. Experimental results demonstrate that our method can effectively thwart both known and unknown DoS attacks with flexible parameter settings. Moreover, our method only introduces negligible additional gas consumption for benign users.

Objectives To investigate the efficacy and safety of ixekizumab for up to 52 weeks in two phase 3 studies of patients with active radiographic axial spondyloarthritis (r-axSpA) who were biological disease-modifying antirheumatic drug (bDMARD)-naive (COAST-V) or tumour necrosis factor inhibitor (TNFi)-experienced (COAST-W). Methods Adults with active r-axSpA were randomised 1:1:1:1 (n=341) to 80 mg ixekizumab every 2 (IXE Q2W) or 4 weeks (IXE Q4W), placebo (PBO) or 40 mg adalimumab Q2W (ADA) in COAST-V and 1:1:1 (n=316) to IXE Q2W, IXE Q4W or PBO in COAST-W. At week 16, patients receiving ixekizumab continued their assigned treatment; patients receiving PBO or ADA were rerandomised 1:1 to IXE Q2W or IXE Q4W (PBO/IXE, ADA/IXE) through week 52. Results In COAST-V, Assessment of SpondyloArthritis international Society 40 (ASAS40) responses rates (intent-to-treat population, non-responder imputation) at weeks 16 and 52 were 48% and 53% (IXE Q4W); 52% and 51% (IXE Q2W); 36% and 51% (ADA/IXE); 19% and 47% (PBO/IXE). Corresponding ASAS40 response rates in COAST-W were 25% and 34% (IXE Q4W); 31% and 31% (IXE Q2W); 14% and 39% (PBO/IXE). Both ixekizumab regimens sustained improvements in disease activity, physical function, objective markers of inflammation, QoL, health status and overall function up to 52 weeks. Safety through 52 weeks of ixekizumab was consistent with safety through 16 weeks. Conclusion The significant efficacy demonstrated with ixekizumab at week 16 was sustained for up to 52 weeks in bDMARD-naive and TNFi-experienced patients. bDMARD-naive patients initially treated with ADA demonstrated further numerical improvements after switching to ixekizumab. Safety findings were consistent with the known safety profile of ixekizumab. Trial registration number NCT02696785 / NCT02696798 .

Being a new kind of software leveraging blockchain to execute real contracts, smart contracts are in great demand due to many advantages. Ethereum is the largest blockchain platform that supports smart contracts by running them in its virtual machine. To ensure that a smart contract will terminate eventually and prevent abuse of resources, Ethereum charges the developers for deploying smart contracts and the users for executing smart contracts. Although our previous work shows that under-optimized smart contracts may cost more money than necessary, it just lists 7 anti-patterns and the detection method for 3 of them. In this paper, we conduct the first in-depth investigation on such under-optimized smart contracts. We first identify 24 anti-patterns from the execution traces of real smart contracts. Then, we design and develop GasReducer, the first tool to automatically detect all these anti-patterns from the bytecode of smart contracts and replace them with efficient code through bytecode-to-bytecode optimization. Using GasReducer to analyze all smart contracts and their execution traces, we detect 9,490,768 and 557,565,754 anti-pattern instances in deploying and invoking smart contracts, respectively.

Ethereum, the largest blockchain for running smart contracts, charges the people who send transactions to deploy or invoke smart contracts for thwarting resource abuse. The amount of transaction fee depends on the size of that contract and the operations executed by that contract. Consequently, smart contracts with inefficient code will waste money. In this article, we propose and develop the first tool, named <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">GasChecker</monospace> , for automatically identifying gas-inefficient code in smart contracts, and conduct the first empirical study on the prevalence of gas-inefficient code in the deployed smart contracts. More precisely, we first summarize ten gas-inefficient programming patterns and propose a new approach based on symbolic execution (SE) to detect them in the bytecode of smart contracts. To make our approach scalable to analyze millions of smart contracts, we parallelize SE by tailoring it to the MapReduce programming model, and propose a new feedback-based load balancing strategy to effectively utilize cloud resources. Extensive experiments show that <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">GasChecker</monospace> scales well with the increase of workers. The empirical study demonstrates that lots of real smart contracts contain various inefficient code. Manual investigation demonstrates that only 2.5 percent of discovered gas-inefficient instances are false positives.

Electrocaloric effect driven by electric fields displays great potential in realizing highly efficient solid-state refrigeration. Nevertheless, most known electrocaloric materials exhibit relatively poor cooling performance near room temperature, which hinders their further applications. The emerging family of hybrid perovskite ferroelectrics, which exhibits superior structural diversity, large heat exchange and broad property tenability, offers an ideal platform. Herein, we report an exceptionally large electrocaloric effect near room temperature in a designed hybrid perovskite ferroelectric [(CH3)2CHCH2NH3]2PbCl4, which exhibits a sharp first-order phase transition at 302 K, superior spontaneous polarization (>4.8 μC/cm2) and relatively small coercive field (<15 kV/cm). Strikingly, a large isothermal entropy change ΔS of 25.64 J/kg/K and adiabatic temperature change ΔT of 11.06 K under a small electric field ΔE of 29.7 kV/cm at room temperature are achieved, with giant electrocaloric strengths of isothermal ΔS/ΔE of 0.86 J·cm/kg/K/kV and adiabatic ΔT/ΔE of 370 mK·cm/kV, which is larger than those of traditional ferroelectrics. This work presents a general approach to the design of hybrid perovskite ferroelectrics, as well as provides a family of candidate materials with potentially prominent electrocaloric performance for room temperature solid-state refrigeration.

Birefringent crystals that can modulate the polarization of light play a significant role in modern optical devices including polarizing microscopes, optical isolators, and achromatic quarter-wave plates. To date, commercial birefringent crystals are exclusively limited to purely inorganic compounds. Here we report a new organic-inorganic hybrid halide, MLAPbBr4 (MLA=melamine), which features a (110)-oriented layered perovskite structure. Although the 6s2 lone-pair electrons of Pb2+ cations are stereochemically inert, MLAPbBr4 exhibits a birefringence of 0.322@550 nm, which exceeds those of all commercial birefringent crystals. The first-principles calculations reveal that this birefringence should be ascribed to the highly dislocated π-conjugation of MLA cations and high distortion of PbBr6 octahedra. This work highlights the persistently neglected great potential of hybrid halide perovskites as birefringent crystals.

Corrosion behavior of pure titanium in H2SO4, HCl and HNO3 with different concentrations of F- was studied with electrochemical testing and morphology observation. The threshold F- concentration triggering severe corrosion is between 0.0005 and 0.001 M in the three acids. The F- promotes anodic dissolution and inhibits oxygen reduction, resulting in the decrease of cathodic current density. The corrosion process presents a two-step reaction mechanism, and the influence mechanism of fluoride in different acids is different. The oxidizing nitrate participates in the corrosion reaction as an oxidant and accelerates the corrosion, resulting in the most severe corrosion in fluoride-bearing HNO3.

Paper production generates pulp and paper wastewater (PPW), and it is difficult to remove the high-level pollutants in PPW efficiently. Herein, an efficient industrial-scale pulp and paper wastewater treatment plant (PP-WWTP) that integrated physicochemical and biological processes is investigated and reported. This PP-WWTP treated 2.3 Mt of wastewater with 17,388 ± 1436 mg/L chemical oxygen demand (COD) annually. The PP-WWTP can effectively remove over 99.81% of the COD. In detail, the physical, anaerobic, aerobic and chemical steps accounted for 41.6%, 40.0%, 11.9%, and 6.5% of COD removal, respectively. The microbial communities of the bioreactors removed the pollutants efficiently and contained diverse microbes. Further metagenomic analyses of the bioreactors identified more than 90,000 genes/gene fragments encoding for carbohydrate-active enzymes (CAZys), demonstrating high lignocellulose degradation ability of the bioreactors at molecular level. The xylanase activity assay showed some lignocellulase in the bioreactors were functional. Recycling the residual heat from the PPW along with energy recovered from biological treatment of the PPW, in the form of biogas (20,000 m³/d), could generate more than 1.5 M USD benefits/y. The results of this study demonstrated that the integrated physicochemical and biological process for PPWW treatment could effectively remove pollutants while generating revenue.

Circularly polarized light (CPL) detection has sparked overwhelming research interest for its widespread chiroptoelectronic and spintronic applications. Ferroelectric materials, especially emerging layered hybrid perovskite ferroelectrics, exhibiting striking bulk photovoltaic effect (BPVE) present significant possibilities for CPL detection by a distinctive working concept. Herein, for the first time, we demonstrate the realization of robust angular anisotropy of CPL detection in a new layered hybrid perovskite ferroelectric crystal (CPA)2FAPb2Br7 (1, CPA is chloropropylammonium, FA is formamidinium), which crystallized in an optically active achiral polar point group. Benefiting from the notable spontaneous polarization (5.1 μC/cm2) and excellent semiconducting characteristics, single crystals of 1 exhibit remarkable BPVE under light illumination, with a high current on/off switching ratio (ca. 103). More intriguingly, driven by the angular carrier drift originating from spin-dependent BPVE in optically active ferroelectrics, 1 displays highly sensitive self-powered CPL detection performance, showing a robust angular anisotropy factor up to 0.98, which is far more than those achieved by material intrinsic chirality. This work provides an unprecedented approach for realizing highly sensitive CPL detection, which sheds light on the further design of optically active ferroelectrics for chiral photonic applications.

Minimally invasive radical trachelectomy has emerged as an alternative to open radical hysterectomy for patients with early-stage cervical cancer desiring future fertility. Recent data suggest worse oncologic outcomes after minimally invasive radical hysterectomy than after open radical hysterectomy in stage I cervical cancer.We aimed to compare 4.5-year disease-free survival after open vs minimally invasive radical trachelectomy.This was a collaborative, international retrospective study (International Radical Trachelectomy Assessment Study) of patients treated during 2005-2017 at 18 centers in 12 countries. Eligible patients had squamous carcinoma, adenocarcinoma, or adenosquamous carcinoma; had a preoperative tumor size of ≤2 cm; and underwent open or minimally invasive (robotic or laparoscopic) radical trachelectomy with nodal assessment (pelvic lymphadenectomy and/or sentinel lymph node biopsy). The exclusion criteria included neoadjuvant chemotherapy or preoperative pelvic radiotherapy, previous lymphadenectomy or pelvic retroperitoneal surgery, pregnancy, stage IA1 disease with lymphovascular space invasion, aborted trachelectomy (conversion to radical hysterectomy), or vaginal approach. Surgical approach, indication, and adjuvant therapy regimen were at the discretion of the treating institution. A total of 715 patients were entered into the study database. However, 69 patients were excluded, leaving 646 in the analysis. Endpoints were the 4.5-year disease-free survival rate (primary), 4.5-year overall survival rate (secondary), and recurrence rate (secondary). Kaplan-Meier methods were used to estimate disease-free survival and overall survival. A post hoc weighted analysis was performed, comparing the recurrence rates between surgical approaches, with open surgery being considered as standard and minimally invasive surgery as experimental.Of 646 patients, 358 underwent open surgery, and 288 underwent minimally invasive surgery. The median (range) patient age was 32 (20-42) years for open surgery vs 31 (18-45) years for minimally invasive surgery (P=.11). Median (range) pathologic tumor size was 15 (0-31) mm for open surgery and 12 (0.8-40) mm for minimally invasive surgery (P=.33). The rates of pelvic nodal involvement were 5.3% (19 of 358 patients) for open surgery and 4.9% (14 of 288 patients) for minimally invasive surgery (P=.81). Median (range) follow-up time was 5.5 (0.20-16.70) years for open surgery and 3.1 years (0.02-11.10) years for minimally invasive surgery (P<.001). At 4.5 years, 17 of 358 patients (4.7%) with open surgery and 18 of 288 patients (6.2%) with minimally invasive surgery had recurrence (P=.40). The 4.5-year disease-free survival rates were 94.3% (95% confidence interval, 91.6-97.0) for open surgery and 91.5% (95% confidence interval, 87.6-95.6) for minimally invasive surgery (log-rank P=.37). Post hoc propensity score analysis of recurrence risk showed no difference between surgical approaches (P=.42). At 4.5 years, there were 6 disease-related deaths (open surgery, 3; minimally invasive surgery, 3) (log-rank P=.49). The 4.5-year overall survival rates were 99.2% (95% confidence interval, 97.6-99.7) for open surgery and 99.0% (95% confidence interval, 79.0-99.8) for minimally invasive surgery.The 4.5-year disease-free survival rates did not differ between open radical trachelectomy and minimally invasive radical trachelectomy. However, recurrence rates in each group were low. Ongoing prospective studies of conservative management of early-stage cervical cancer may help guide future management.

The effects of temperature and dissolved oxygen on the passivation behavior of Ti–6Al–3Nb–2Zr–1Mo alloy in artificial seawater are investigated. The increase of temperature increases the anodic and cathodic current density, and also increases the field strength and zero field activation energy for oxygen vacancy motion. The decrease of dissolved oxygen concentration inhibits the transformation of titanium oxide and results in the disappearance of the anodic peak. Meanwhile, the passive current density increases in the deaerated environment because of the increase in the point defect density and diffusion rate. The passive film exhibits n-type semiconductivity, and oxygen vacancy is the main point defect.

Exploration of nonlinear optical (NLO) crystalline materials is a hot and continuing research topic in modern optoelectronics and laser technology. Within this portfolio, the emerging organic–inorganic hybrid metal halides provide infinite opportunities due to their fascinating advantages of inorganic metal frameworks and organic molecules. Herein, by cooperatively combining the inorganic second-order Jahn–Teller distorted octahedron [SbCl6] and the organic π-conjugated aromatic amine (N,N,4-trimethylaniline, C9H13N), a non-centrosymmetric (NCS) organic–inorganic hybrid antimony halide, (C9H14N)SbCl4, has been developed. Meanwhile, the bulky colorless single crystals of (C9H14N)SbCl4 with dimensions of 10 × 3 × 0.5 mm3 are grown by the temperature-lowering crystallization process. Further optical property investigations reveal that the crystals possess a remarkable second harmonic generation (SHG) response (2.1 × KDP, KH2PO4) and a moderate birefringence (0.095@546 nm) to achieve phase-matching behavior, and they demonstrate promising prospects for application in the NLO field. Furthermore, the crystal structure analysis and theoretical calculations demonstrate that the large SHG response primarily originates from the cooperative coupling between the highly asymmetric distorted [SbCl6] octahedron (3.649 × 10–3) and the π-conjugated aromatic amine. This work points out an efficient route for the future exploration of new quadratic NLO materials with excellent optical performance in hybrid metal halides.

The state of charge (SOC) for a lithium-ion battery is a key index closely related to battery performance and safety with respect to the power supply system of electric vehicles. The Kalman filter (KF) or extended KF (EKF) is normally employed to estimate SOC in association with the relatively simple and fast second-order resistor-capacitor (RC) equivalent circuit model for SOC estimations. To improve the stability of SOC estimation, a two-stage method is developed by combining the second-order RC equivalent circuit model and the eXogenous Kalman filter (XKF) to estimate the SOC of a lithium-ion battery. First, approximate SOC estimation values are observed with relatively poor accuracy by a stable observer without considering parameter uncertainty. Second, the poor accuracy SOC results are further fed into XKF to obtain relative stable and accurate SOC estimation values. Experiments demonstrate that the SOC estimation results of the present method are superior to those of the commonly used EKF method. It is expected that the present two-stage XKF method will be useful for the stable and accurate estimation of SOC in the power supply system of electric vehicles.

Diabetic wounds (DW) are constantly challenged by excessive reactive oxygen species (ROS) accumulation and susceptibility to bacterial contamination. Therefore, the elimination of ROS in the immediate vicinity and the eradication of local bacteria are critical to stimulating the efficient healing of diabetic wounds. In the current study, we encapsulated mupirocin (MP) and cerium oxide nanoparticles (CeNPs) into a polyvinyl alcohol/chitosan (PVA/CS) polymer, and then a PVA/chitosan nanofiber membrane wound dressing was fabricated using electrostatic spinning, which is a simple and efficient method for fabricating membrane materials. The PVA/chitosan nanofiber dressing provided a controlled release of MP, which produced rapid and long-lasting bactericidal activity against both methicillin-sensitive S. aureus (MSSA) and methicillin-resistant S. aureus (MRSA) strains. Simultaneously, the CeNPs embedded in the membrane exhibited the desired ROS scavenging capacity to maintain the local ROS at a normal physiological level. Moreover, the biocompatibility of the multifunctional dressing was evaluated both in vitro and in vivo. Taken together, PVA-CS-CeNPs-MP integrated the desirable features of a wound dressing, including rapid and broad-spectrum antimicrobial and ROS scavenging activities, easy application, and good biocompatibility. The results validated the effectiveness of our PVA/chitosan nanofiber dressing, highlighting its promising translational potential in the treatment of diabetic wounds.

As a well-established technique for measuring surface deformation, the digital image correlation method (DICM) has received wide application in experimental mechanics and structural analysis in recent years. One of the major challenges in practical applications of this technique is how to achieve the lowest probability of mis-identification and reduce computation cost simultaneously. Based on this understanding, a novel coarse-fine search method for correlation analysis is developed in this paper. This method is based on an affine transform and a new technique of fine searching called "nested fine search method" which is for accelerating calculation. Additionally, a special algorithm is developed for generating simulated images. The proposed method is validated by comparing measured displacements with those of simulated images, and proved to be much faster than the existing ones if the same accuracy is assumed. As the rigid displacements and the elastic displacements induced by deformation can be directly calculated by the affine transform, the proposed method can efficiently measure the full-field displacements of large displacement or finite deformation.

We investigated changes in inattentive and hyperactive symptoms over 2 years following traumatic brain injury (TBI) in relation to preinjury attention-deficit/hyperactivity disorder (ADHD), injury, and socioeconomic status (SES) variables. Postinjury stimulant medication treatment was also documented. Of 175 consecutive patients of ages 5 to 15 years with acute TBI, 148 consented, including 114 without preinjury ADHD (mean age, 10.0 years, SD = 2.76) and 34 with preinjury ADHD (mean age 10.36 years, SD = 2.75). The Schedule for Affective Disorders and Schizophrenia for School-Age Children, Present and Lifetime Version, was administered at baseline and at 6, 12, and 24 months post-injury to assess the presence of nine core inattentive and nine hyperactive symptoms and associated impairment. The baseline assessment was performed within 1 month post-injury to establish preinjury diagnosis.Nonlinear change in inattentive symptoms in patients without preinjury ADHD contrasted with higher and more stable symptom levels in children with preinjury diagnosis, including the cubic trend (chi2(1) = 6.23, p = .0126). There was also a significant interaction of group x gender effect (chi2(1) = 4.08, p = .0435) as males had higher numbers of inattentive symptoms than females in the preinjury ADHD group. Change in hyperactive symptoms over time also differed by group, including both linear (chi2(1) = 5.42, p = .0199) and cubic trends (chi2(1) = 8.91, p = .0029), reflecting greater and more frequent fluctuations in children without preinjury ADHD. Socioeconomic level also contributed to change in hyperactive symptoms as reflected by the interaction of SES and linear time (chi2(1) = 6.91, p = .009), as well as quadratic time (chi2(1) = 4.90, p = .027). Occurrence of ADHD diagnosed post-injury ranged from 14.5% (12 months) to 18.3% (24 months) in the group without preinjury ADHD compared with a range from 86.4% (12 months) to 96.2% (6 months) in children with preinjury ADHD. In children without preinjury ADHD, SES was the only patient variable that predicted onset of ADHD, t(110) = -2.85, p = .0052. Treatment with stimulant medication post-injury was more frequently associated with preinjury ADHD (39% vs 7% of children without preinjury ADHD), p< .0001 (Fisher exact test). Children with preinjury ADHD who were treated pre-injury with stimulant medication had fewer total symptoms at 24 months post-injury relative to untreated patients with preinjury ADHD (F[1,14] = 3.93, p = 0.069, Cohen's d = 1.28).Change in ADHD symptoms after TBI varies with preinjury diagnosis, reflects injury severity in children without preinjury ADHD, and is treated with stimulant medication mainly in those patients with preinjury ADHD.

While closed head injury frequently results in damage to the frontal and temporal lobes, damage to deep cortical structures, such as the hippocampus, amygdala, and basal ganglia, has also been reported. Five deep central structures (hippocampus, amygdala, globus pallidus, putamen, and caudate) were examined in 16 children (eight males, eight females; aged 9-16y), imaged 1 to 10 years after moderate-to-severe traumatic brain injury (TBI), and in 16 individually-matched uninjured children. Analysis revealed significant volume loss in the hippocampus, amydala, and globus pallidus of the TBI group. Investigation of relative volume loss between these structures and against five cortical areas (ventromedial frontal, superomedial frontal, lateral frontal, temporal, and parieto-occipital) revealed the hippocampus to be the most vulnerable structure following TBI (i.e. greatest relative difference between the groups). In a separate analysis excluding children with focal hippocampal abnormalities (e.g. lesions), group differences in hippocampal volume were still evident, suggesting that hippocampal damage may be diffuse rather than focal.

The purpose of this study was to assess patterns of cortical development over time in children who had sustained traumatic brain injury (TBI) as compared to children with orthopedic injury (OI), and to examine how these patterns related to emotional control and behavioral dysregulation, two common post-TBI symptoms. Cortical thickness was measured at approximately 3 and 18 months post-injury in 20 children aged 8.2-17.5 years who had sustained moderate-to-severe closed head injury and 21 children aged 7.4-16.7 years who had sustained OI. At approximately 3 months post-injury, the TBI group evidenced decreased cortical thickness bilaterally in aspects of the superior frontal, dorsolateral frontal, orbital frontal, and anterior cingulate regions compared to the control cohort, areas of anticipated vulnerability to TBI-induced change. At 18 months post-injury, some of the regions previously evident at 3 months post-injury remained significantly decreased in the TBI group, including bilateral frontal, fusiform, and lingual regions. Additional regions of significant cortical thinning emerged at this time interval (bilateral frontal regions and fusiform gyrus and left parietal regions). However, differences in other regions appeared attenuated (no longer areas of significant cortical thinning) by 18 months post-injury including large bilateral regions of the medial aspects of the frontal lobes and anterior cingulate. Cortical thinning within the OI group was evident over time in dorsolateral frontal and temporal regions bilaterally and aspects of the left medial frontal and precuneus, and right inferior parietal regions. Longitudinal analyses within the TBI group revealed decreases in cortical thickness over time in numerous aspects throughout the right and left cortical surface, but with notable "sparing" of the right and left frontal and temporal poles, the medial aspects of both the frontal lobes, the left fusiform gyrus, and the cingulate bilaterally. An analysis of longitudinal changes in cortical thickness over time (18 months-3 months) in the TBI versus OI group demonstrated regions of relative cortical thinning in the TBI group in bilateral superior parietal and right paracentral regions, but relative cortical thickness increases in aspects of the medial orbital frontal lobes and bilateral cingulate and in the right lateral orbital frontal lobe. Finally, findings from analyses correlating the longitudinal cortical thickness changes in TBI with symptom report on the Emotional Control subscale of the Behavior Rating Inventory of Executive Function (BRIEF) demonstrated a region of significant correlation in the right medial frontal and right anterior cingulate gyrus. A region of significant correlation between the longitudinal cortical thickness changes in the TBI group and symptom report on the Behavioral Regulation Index was also seen in the medial aspect of the left frontal lobe. Longitudinal analyses of cortical thickness highlight an important deviation from the expected pattern of developmental change in children and adolescents with TBI, particularly in the medial frontal lobes, where typical patterns of thinning fail to occur over time. Regions which fail to undergo expected cortical thinning in the medial aspects of the frontal lobes correlate with difficulties in emotional control and behavioral regulation, common problems for youth with TBI. Examination of post-TBI brain development in children may be critical to identification of children that may be at risk for persistent problems with executive functioning deficits and the development of interventions to address these issues.

The main challenge for warfarin anticoagulation is the risk for hemorrhagic complications. Although certain pharmacogenetic factors may explain the individual variabilities about the therapeutic warfarin dose requirement, the genetic factors to warfarin hemorrhagic complications due to over-anticoagulation are largely unknown. To interpret the potential role of warfarin-related genotypes on over-anticoagulation and hemorrhagic complications, we conducted a meta-analysis based on 22 published studies.A comprehensive search was applied to the reports on over-anticoagulation and hemorrhagic complications published prior to December 31, 2012 in PubMed and EMBASE. References were identified by strict inclusion and exclusion criteria, with additional information obtained by consulting with the authors of primary studies. The roles of genotypes in CYP2C9 and VKORC1 on over-anticoagulation (INR > 4) and hemorrhagic complications were analyzed by Revman 5.0.2 software.A total of 6272 patients in 22 reports were included in the meta-analysis, including studies of 18 from Caucasians (3 from both Caucasian and African-American), 3 from Asians, and 1 from Brazilians. Compared to CYP2C9 wild genotype (CYP2C9*1), both CYP2C9*2 (rs 1799853, c. 430 C > T, p. Arg144Cys) and *3 (rs 1057910, c. 1075 A >C, p. Ile359Leu) confer significantly higher risk for warfarin over-anticoagulation and hemorrhagic complications. After stratification by CYP2C9 allele status, significantly higher risk for hemorrhagic complications was found only in carriers of at least 1 copy of CYP2C9*3 [For total hemorrhages: *1/*3 HR: 2.05 (1.36-3.10), p < 0.001; *3/*3 HR: 4.87 (1.38-17.14), p = 0.01; For major hemorrhages: *1/*3 HR: 2.43 (1.17-5.06), p = 0.02; *3/*3 HR: 4.81 (0.95-24.22), p = 0.06]. Furthermore, similar susceptibility of total hemorrhage by CYP2C9 genotypes was observed in Caucasians and Asians. After stratification by the occurrence time, both CYP2C9*2 and *3 are risk factors for over-anticoagulation within 30 days of warfarin treatment [*2 HR: 1.64 (1.11-2.43), p = 0.01; *3 HR: 2.48 (1.56-3.96), p < 0.001], and only CYP2C9*3 showed higher risk for over-anticoagulation after 30 days [HR: 1.86 (1.08-3.20), P = 0.03]. For VKORC1 c. -1639G > A (rs 9923231) genotypes, GA and AA contributed significantly higher risk for over-anticoagulation within 30 days [HR: 2.14 (1.75-2.62), p < 0.001], but not for over-anticoagulation after 30 days [HR:0.78 (0.46-1.33), p = 0.36]. No significant association was found between VKORC1 genotypes and hemorrhagic complications.Both CYP2C9 and VKORC1 genotypes are associated with an increased risk for warfarin over-anticoagulation, with VKORC1 c. -1639G > A more sensitive early in the course of anticoagulation. CYP2C9*3 is the main genetic risk factor for warfarin hemorrhagic complications.

Although mild traumatic brain injury (mTBI), or concussion, is not typically associated with abnormalities on computed tomography (CT), it nevertheless causes persistent cognitive dysfunction for many patients. Consequently, new prognostic methods for mTBI are needed to identify at-risk cases, especially at an early and potentially treatable stage. Here, we quantified plasma levels of the neurodegeneration biomarker calpain-cleaved alphaII-spectrin N-terminal fragment (SNTF) from 38 participants with CT-negative mTBI, orthopedic injury (OI) and normal uninjured controls (age range 12-30 years), and compared them with findings from diffusion tensor magnetic resonance imaging (DTI) and long-term cognitive assessment. SNTF levels were at least twice the lower limit of detection in 7 of 17 mTBI cases and in 3 of 13 OI cases, but in none of the uninjured controls. An elevation in plasma SNTF corresponded with significant differences in fractional anisotropy and the apparent diffusion coefficient in the corpus callosum and uncinate fasciculus measured by DTI. Furthermore, increased plasma SNTF on the day of injury correlated significantly with cognitive impairment that persisted for at least 3 months, both across all study participants and also among the mTBI cases by themselves. The elevation in plasma SNTF in the subset of OI cases, accompanied by corresponding white matter and cognitive abnormalities, raises the possibility of identifying undiagnosed cases of mTBI. These data suggest that the blood level of SNTF on the day of a CT-negative mTBI may identify a subset of patients at risk of white matter damage and persistent disability. SNTF could have prognostic and diagnostic utilities in the assessment and treatment of mTBI.

Structural damage to the prefrontal-cingulate network has been implicated in cognitive and neurobehavioral deficits associated with traumatic brain injury (TBI). Forty-six children who had sustained moderate-to-severe TBI and 43 children with extracranial injury were imaged using diffusion tensor imaging (DTI). Decreased fractional anisotropy (FA) and increased apparent diffusion coefficient (ADC) values were found in the cingulum bundles bilaterally in the TBI group. Cingulum ADC was related to frontal lesion volume, injury severity, and injury mechanism. Finally, cingulum DTI parameters were related to cognitive control measures. DTI detects TBI-related injury to the cingulum, which may facilitate advances in assessment and treatment.

Monitoring brain tissue PO2 (PbtO2) is part of multimodality monitoring of patients with traumatic brain injury (TBI). However, PbtO2 measurement is a sampling of only a small area of tissue surrounding the sensor tip.To examine the effect of catheter location on the relationship between PbtO2 and neurological outcome.A total of 405 patients who had PbtO2 monitoring as part of standard management of severe traumatic brain injury were studied. The relationships between probe location and resulting PbtO2 and outcome were examined.When the probe was located in normal brain, PbtO2 averaged 30.8 ± 18.2 compared with 25.6 ± 14.8 mm Hg when placed in abnormal brain (P < .001). Factors related to neurological outcome in the best-fit logistic regression model were age, PbtO2 probe position, postresuscitation motor Glasgow Coma Scale score, and PbtO2 trend pattern. Although average PbtO2 was significantly related to outcome in univariate analyses, it was not significant in the final logistic model. However, the interaction between PbtO2 and probe position was statistically significant. When the PbtO2 probe was placed in abnormal brain, the average PbtO2 was higher in those with a favorable outcome, 28.8 ± 12.0 mm Hg, compared with those with an unfavorable outcome, 19.5 ± 13.7 mm Hg (P = .01). PbtO2 and outcome were not related when the probe was placed in normal-appearing brain.These results suggest that the location of the PbtO2 probe determines the PbtO2 values and the relationship of PbtO2 to neurological outcome.

ABSTRACT The integrity of the fornix using diffusion tensor imaging (DTI) in adolescent participants with acute mild traumatic brain injury (mTBI) compared to a demographically matched control group was examined. Fractional anisotropy (FA) in the fornix was elevated in the mild traumatic brain injured group. Performance on the Automated Neuropsychological Assessment Metrics (ANAM) was lower in the group with mTBI. A relation was found between lower performance on cognitive tasks and higher FA. The potential role of fornix injury as a basis of memory and processing speed deficits in mTBI is discussed.

Infectious bursal disease (IBD) is an acute, highly contagious, and immunosuppressive avian disease caused by IBD virus (IBDV). Although IBDV-induced host cell apoptosis has been established, the underlying molecular mechanism is still unclear. We report here that IBDV viral protein 5 (VP5) is a major apoptosis inducer in DF-1 cells by interacting with the voltage-dependent anion channel 2 (VDAC2) in the mitochondrion. We found that in DF-1 cells, VP5-induced apoptosis can be completely abolished by 4,4'-diisothiocyanatostibene-2,2'-disulfonic acid (DIDS), an inhibitor of VDAC. Furthermore, knockdown of VDAC2 by small interfering RNA markedly inhibits IBDV-induced apoptosis associated with decreased caspase-9 and -3 activation and cytochrome c release, leading to increased IBDV growth in host cells. Thus, VP5-induced apoptosis during IBDV infection is mediated by interacting with VDAC2, a protein that appears to restrict viral replication via induction of cell death.

Infectious bursal disease (IBD) is an acute, highly contagious, and immunosuppressive avian disease caused by IBD virus (IBDV). Although IBDV-induced immunosuppression has been well established, the underlying exact molecular mechanism for such induction is not very clear. We report here the identification of IBDV VP4 as an interferon suppressor by interaction with the glucocorticoid-induced leucine zipper (GILZ) in host cells. We found that VP4 suppressed the expression of type I interferon in HEK293T cells after tumor necrosis factor alpha (TNF-α) treatment or Sendai virus (SeV) infection and in DF-1 cells after poly(I·C) stimulation. In addition, the VP4-induced suppression of type I interferon could be completely abolished by knockdown of GILZ by small interfering RNA (siRNA). Furthermore, knockdown of GILZ significantly inhibited IBDV growth in host cells, and this inhibition could be markedly mitigated by anti-alpha/beta interferon antibodies in the cell cultures (P < 0.001). Thus, VP4-induced suppression of type I interferon is mediated by interaction with GILZ, a protein that appears to inhibit cell responses to viral infection.

Abstract Since Rheumatoid arthritis (RA) is one of the major human joint diseases with unknown etiology, the early diagnosis and treatment of RA remains a challenge. In this contribution we have explored the possibility to utilize novel nanocomposites of tetera suplhonatophenyl porphyrin (TSPP) with titanium dioxide (TiO 2 ) nanowhiskers (TP) as effective bio-imaging and photodynamic therapeutic (PDT) agent for RA theranostics. Our observations demonstrate that TP solution PDT have an ameliorating effect on the RA by decreasing significantly the IL-17 and TNF-α level in blood serum and fluorescent imaging could enable us to diagnose the disease in subclinical stages and bio-mark the RA insulted joint.

Glutathione (GSH) is the most abundant intracellular thiol with the concentration in the millimolar range. It has also been reported that GSH plays a crucial role in human pathologies, so it is meaningful to develop an effective probe for GSH. In this work, we report a coumarin-chlorine malononitrile “off-on” sensor for highly selective fluorescence detection of GSH over Cys/Hcy. The chlorine of the probe can be rapidly replaced by thiolates of biothiols through thiol-halogen nucleophilic substitution. The amino groups of Cys/Hcy but not GSH further replace the thiolate to form amino-substituted compound. Subsequently, an intramolecular Michael addition between the α,β-unsaturated malonitrile and thiol group may occur. However, GSH only forms thiol-substituted compound. The significantly different mechanisms enable the discrimination of GSH over Cys/Hcy through fluorescence response. Finally, fluorescence imaging of A549 cells indicated that probe 1 could be used for monitoring GSH in living cells. It would be a useful tool to understand the mechanisms of many related diseases.

Cancer treatment has a far greater chance of success if the neoplasm is diagnosed before the onset of metastasis to vital organs. Hence, cancer early diagnosis is extremely important and remains a major challenge in modern therapeutics. In this contribution, facile and new method for rapid multimodal tumor bioimaging is reported by using biosynthesized iron complexes and gold nanoclusters via simple introduction of AuCl 4 − and Fe 2+ ions. The observations demonstrate that the biosynthesized Au nanoclusters may act as fluorescent and computed tomography probes for cancer bioimaging while the iron complexes behave as effective contrast agent for magnetic resonance imaging. The biosynthesized iron complexes and gold nanoclusters are found biocompatible in vitro (MTT (3‐(4, 5‐dimethylthiazol‐2‐yl)‐2, 5‐diphenyltetrazolium bromide) assay) and in vivo for all the vital organs of circulatory and excretory system. These observations raise the possibility that the biosynthesized probes may find applications in future clinical diagnosis for deep seated early neoplasms by multimodal imaging.

MicroRNAs (miRNAs) are small noncoding RNAs that regulate gene expression posttranscriptionally through silencing or degrading their targets, thus playing important roles in the immune response. However, the role of miRNAs in the host response against infectious bursal disease virus (IBDV) infection is not clear. In this study, we show that the expression of a series of miRNAs was significantly altered in DF-1 cells after IBDV infection. We found that the miRNA gga-miR-130b inhibited IBDV replication via targeting the specific sequence of IBDV segment A and enhanced the expression of beta interferon (IFN-β) by targeting suppressors of cytokine signaling 5 (SOCS5) in host cells. These findings indicate that gga-miR-130b-3p plays a crucial role in host defense against IBDV infection.IMPORTANCE This work shows that gga-miR-130b suppresses IBDV replication via directly targeting the viral genome and cellular SOCS5, the negative regulator for type I interferon expression, revealing the mechanism underlying gga-miR-130-induced inhibition of IBDV replication. This information will be helpful for the understanding of how host cells combat pathogenic infection by self-encoded small RNA and furthers our knowledge of the role of microRNAs in the cell response to viral infection.

Purpose Cervical stenosis is a major and specific postoperative complication following radical trachelectomy. The current article presents a review of studies describing the incidence, risk factors and treatment methods of cervical stenosis after this fertility sparing procedure. Methods We searched PubMed, MEDLINE, Embase (January 1994 through November 2014) using the following terms: uterine cervix neoplasms, cervical cancer, radical trachelectomy, fertility sparing and fertility preservation. We included original articles and case series. Case reports, review articles, articles not in English and articles not mentioning cervical stenosis were all excluded. Results We identified 1547 patients. The incidence rates of cervical stenosis ranged from 0% to 73.3% with an average rate of 10.5%. Among patients with abdominal, vaginal, laparoscopic and robotic radical trachelectomy, the incidences of cervical stenosis were 11.0%, 8.1%, 9.3% and 0%, respectively. In patients in whom whether cerclage was placed or not, the incidence rates of cervical stenosis were 8.6% and 3.0%, respectively (P = NS). Among those in whom whether anti-stenosis tools were placed or not, the incidences of cervical stenosis were 4.6% and 12.7%, respectively (P < 0.001). Cervical stenosis was a potential cause of infertility and increased the use of artificial reproductive technology. Surgical dilatation resolved stenosis in the majority of cases but had to be repeated. Conclusions Cervical stenosis is related to the surgical approach, cerclage and anti-stenosis tools utilised. It affects not only the quality of life but also obstetrical outcomes of patients following radical trachelectomy. Greater attention should be given to the prevention and treatment of this complication.

Satellite image semantic segmentation, including extracting road, detecting building, and identifying land cover types, is essential for sustainable development, agriculture, forestry, urban planning, and climate change research. Nevertheless, it is still unclear how to develop a refined semantic segmentation model in an efficient and elegant way. In this paper, we propose attention dilation-LinkNet (AD-LinkNet) neural network that adopts encoder–decoder structure, serial–parallel combination dilated convolution, channel-wise attention mechanism, and pretrained encoder for semantic segmentation. Serial–parallel combination dilated convolution enlarges receptive field as well as assemble multi-scale features for multi-scale objects, such as long-span road and small pool. The channel-wise attention mechanism is designed to advantage the context information in the satellite image. The experimental results on road extraction and surface classification data sets prove that the AD-LinkNet shows a significant effect on improving the segmentation accuracy. We defeated the D-Linknet algorithm that won the first place in the CVPR 2018 DeepGlobe road extraction competition.

In this study, a microbial fuel cell (MFC)-biofilm electrode reactor (BER) coupled system was established for degradation of the azo dye Reactive Brilliant Red X-3B. In this system, electrical energy generated by the MFC degrades the azo dye in the BER without the need for an external power supply, and the effluent from the BER was used as the inflow for the MFC, with further degradation. The results indicated that the X-3B removal efficiency was 29.87% higher using this coupled system than in a control group. Moreover, a method was developed to prevent voltage reversal in stacked MFCs. Current was the key factor influencing removal efficiency in the BER. The X-3B degradation pathway and the types and transfer processes of intermediate products were further explored in our system coupled with gas chromatography–mass spectrometry.

To address controversy surrounding the most appropriate comparison group for mild traumatic brain injury (mTBI) research, mTBI patients 12-30 years of age were compared with an extracranial orthopedic injury (OI) patient group and an uninjured, typically developing (TD) participant group with comparable demographic backgrounds. Injured participants underwent subacute (within 96 h) and late (3 months) diffusion tensor imaging (DTI); TD controls underwent DTI once. Group differences in fractional anisotropy (FA) and mean diffusivity (MD) of commonly studied white matter tracts were assessed. For FA, subacute group differences occurred in the bilateral inferior frontal occipital fasciculus (IFOF) and right inferior longitudinal fasciculus (ILF), and for MD, differences were found in the total corpus callosum, right uncinate fasciculus, IFOF, ILF, and bilateral cingulum bundle (CB). In these analyses, differences (lower FA and higher MD) were generally observed between the mTBI and TD groups but not between the mTBI and OI groups. After a 3 month interval, groups significantly differed in left IFOF FA and in right IFOF and CB MD; the TD group had significantly higher FA and lower MD than both injury groups, which did not differ. There was one exception to this pattern, in which the OI group demonstrated significantly lower FA in the left ILF than the TD group, although neither group differed from the mTBI group. The mTBI and OI groups had generally similar longitudinal results. Findings suggest that different conclusions about group-level DTI analyses could be drawn, depending on the selected comparison group, highlighting the need for additional research in this area. Where possible, mTBI studies may benefit from the inclusion of both OI and TD controls.

Pancreatic cancer (PC) has exceptionally high mortality due to ineffective treatment strategies. Immunotherapy, which mobilizes the immune system to fight against cancer, has been proven successful in multiple cancers; however, its application in PC has met with limited success. In this review, we articulated that the pancreatic tumor microenvironment is immuno-suppressive with extensive infiltration by M2-macrophages and myeloid-derived suppressive cells but low numbers of cytotoxic T-cells. In addition, low mutational load and poor antigen processing, presentation, and recognition contribute to the limited response to immunotherapy in PC. Immune checkpoints, the critical targets for immunotherapy, have high expression in PC and stromal cells, regulated by tumor microenvironmental milieu (cytokine and metabolites) and cell-intrinsic mechanisms (epigenetic regulation, oncogenic signaling, and post-translational modifications). Combining immunotherapy with modulators of the tumor microenvironment may facilitate the development of novel therapeutic regimens to manage PC.

Smart city construction has penetrated all aspects of human life. People can continue to feel the convenience of life brought by new technologies and new services. In order to further optimize the smart city system, aiming at the sparsity of scoring data and the difficulty of two-way decisions to deal with uncertain decisions in the recommendation algorithm, a three-way Naive Bayesian Collaborative Filtering Recommendation model (3NBCFR) for smart city is constructed by integrating Naive Bayesian, three-way decisions and collaborative filtering algorithm. Firstly, we consider the influence of item attributes on user scoring. Naive Bayesian classifier is used to score unrated items, which can effectively fill in the missing values in the score matrix and solve the problem of data sparsity. Secondly, to ensure sustainable recommendations for uncertain goals, the three-way decisions is introduced into the collaborative filtering recommendation system, three-way recommendation rules are formulated, and 3NBCFR is constructed. Finally, the model is applied to the movie recommendation system. The experiment on Movielens shows that compared with the traditional collaborative filtering recommendation algorithm, 3NBCFR algorithm reduces the recommendation cost and improves the recommendation quality. At the same time, it lays a foundation for promoting the construction of smart city.

Controlling the domain evolution is critical both for optimizing ferroelectric properties and for designing functional electronic devices. Here we report an approach of using the Schottky barrier formed at the metal/ferroelectric interface to tailor the self-polarization states of a model ferroelectric thin film heterostructure system SrRuO3/(Bi,Sm)FeO3. Upon complementary investigations of the piezoresponse force microscopy, electric transport measurements, X-ray photoelectron/absorption spectra, and theoretical studies, we demonstrate that Sm doping changes the concentration and spatial distribution of oxygen vacancies with the tunable host Fermi level which modulates the SrRuO3/(Bi,Sm)FeO3 Schottky barrier and the depolarization field, leading to the evolution of the system from a single domain of downward polarization to polydomain states. Accompanied by such modulation on self-polarization, we further tailor the symmetry of the resistive switching behaviors and achieve a colossal on/off ratio of ∼1.1 × 106 in the corresponding SrRuO3/BiFeO3/Pt ferroelectric diodes (FDs). In addition, the present FD also exhibits a fast operation speed of ∼30 ns with a potential for sub-nanosecond and an ultralow writing current density of ∼132 A/cm2. Our studies provide a way for engineering self-polarization and reveal its strong link to the device performance, facilitating FDs as a competitive memristor candidate used for neuromorphic computing.

Effects of pediatric traumatic brain injury (TBI) on social problem-solving were examined in a longitudinal study of 103 children with moderate-to-severe TBI (n = 52) or orthopedic injury (OI; n = 51) using the Interpersonal Negotiation Strategies task (INS). Children solved age-appropriate hypothetical social conflicts, with responses for four problem-solving steps scored by developmental level. The OI group performed better than the TBI group, but rate of change in performance over time did not differ between groups, suggesting improvement in children with TBI was not due to recovery from injury. Strong relations between INS performance and memory and language skills emerged, but emotional processing was only weakly related to INS performance. Frontal focal lesions influenced INS performance in younger (but not older) children with TBI. Diffusion tensor imaging (DTI), revealed strong relationships between the INS and increased apparent diffusion coefficient (ADC) measures indexing connectivity in the dorsolateral and cingulate regions in both TBI and OI groups, and in the temporal and parietal regions in the TBI group. These findings inform studies of social problem-solving skills during the first year post TBI. (PsycINFO Database Record (c) 2008 APA, all rights reserved).

This investigation had two main objectives: 1) to assess the comparability of volumes determined by operator-controlled image quantification with automated image analysis in evaluating atrophic brain changes related to traumatic brain injury (TBI) in children, and 2) to assess the extent of diffuse structural changes throughout the brain as determined by reduced volume of a brain structure or region of interest (ROI). Operator-controlled methods used ANALYZE® software for segmentation and tracing routines of pre-defined brain structures and ROIs. For automated image analyses, the open-access FreeSurfer program was used. Sixteen children with moderate-to-severe TBI were compared to individually matched, typically developing control children and the volumes of 18 brain structures and/or ROIs were compared between the two methods. Both methods detected atrophic changes but differed in the magnitude of the atrophic effect with the best agreement in subcortical structures. The volumes of all brain structures/ROIs were smaller in the TBI group regardless of method used; overall effect size differences were minimal for caudate and putamen but moderate to large for all other measures. This is reflective of the diffuse nature of TBI and its widespread impact on structural brain integrity, indicating that both FreeSurfer and operator-controlled methods can reliably assess cross-sectional volumetric changes in pediatric TBI.

This study examined the use of diffusion tensor imaging in detecting white matter changes in the frontal lobes following pediatric traumatic brain injury. A total of 46 children (ages 8-16 years) with moderate to severe traumatic brain injury and 47 children with orthopedic injury underwent 1.5 Tesla magnetic resonance imaging (MRI) at 3 months postinjury. Conventional MRI studies were obtained along with diffusion tensor imaging. Diffusion tensor imaging metrics, including fractional anisotropy, apparent diffusion coefficient, and radial diffusivity, were compared between the groups. Significant group differences were identified, implicating frontal white matter alterations in the injury group that were predictive of later Glasgow Outcome Scale ratings; however, focal lesions were not related to the Glasgow Outcome Scale ratings. Injury severity was also significantly associated with diffusion tensor imaging metrics. Diffusion tensor imaging holds great promise as an index of white matter integrity in traumatic brain injury and as a potential biomarker reflective of outcome.

Children with closed head injuries often experience significant and persistent disruptions in their social and behavioral functioning. Studies with adults sustaining a traumatic brain injury (TBI) indicate deficits in emotion recognition and suggest that these difficulties may underlie some of the social deficits. The goal of the current study was to examine if children sustaining a TBI exhibit difficulties with emotion recognition in terms of emotional prosody and face emotion recognition and to determine (1) how these abilities change over time and (2) what, if any, additional factors such as sex, age, and socioeconomic status (SES) affected the findings. Results provide general support for the idea that children sustaining a TBI exhibit deficits in emotional prosody and face emotion recognition performance. Further, although some gains were noted in the TBI group over the two-years following injury, factors such as SES and age at injury influenced the trajectory of recovery. The current findings indicate the relationship between TBI and emotion recognition is complex and may be influenced by a number of developmental and environmental factors. Results are discussed in terms of their similarity to previous investigations demonstrating the influence of environmental factors on behavioral recovery following pediatric TBI, and with regard to future investigations that can further explore the link between emotion recognition deficits and long-term behavioral and psychosocial recovery.

Neural correlates of working memory (WM) based on the Sternberg Item Recognition Task (SIRT) were assessed in 40 children with moderate-to-severe traumatic brain injury (TBI) compared to 41 demographically-comparable children with orthopedic injury (OI). Multiple magnetic resonance imaging (MRI) methods assessed structural and functional brain correlates of WM, including volumetric and cortical thickness measures on all children; functional MRI (fMRI) and diffusion tensor imaging (DTI) were performed on a subset of children. Confirming previous findings, children with TBI had decreased cortical thickness and volume as compared to the OI group. Although the findings did not confirm the predicted relation of decreased frontal lobe cortical thickness and volume to SIRT performance, left parietal volume was negatively related to reaction time (RT). In contrast, cortical thickness was positively related to SIRT accuracy and RT in the OI group, particularly in aspects of the frontal and parietal lobes, but these relationships were less robust in the TBI group. We attribute these findings to disrupted fronto-parietal functioning in attention and WM. fMRI results from a subsample demonstrated fronto-temporal activation in the OI group, and parietal activation in the TBI group, and DTI findings reflected multiple differences in white matter tracts that engage fronto-parietal networks. Diminished white matter integrity of the frontal lobes and cingulum bundle as measured by DTI was associated with longer RT on the SIRT. Across modalities, the cingulate emerged as a common structure related to performance after TBI. These results are discussed in terms of how different imaging modalities tap different types of pathologic correlates of brain injury and their relationship with WM.

Flow behavior of liquid and solid phases is simulated by means of DEM-CFD in a liquid–solid fluidized bed. The lubrication force is considered. A detailed description of the model equations used has been presented. The distributions of velocity and volume fraction are predicted at the different superficial liquid velocities, liquid viscosity and solids densities in the bed. The granular temperature is computed from simulated particle velocity. Predicted solid axial velocities are in agreement with experiments. Simulations indicate that axial velocities of particles increase with the increase in the superficial liquid velocity. The bed expansion height is increased with an increase of superficial liquid velocity and liquid viscosity and decreases with the increase of particle density. The lubrication force reduces granular temperature in the liquid–solid fluidized beds.

To evaluate the feasibility of functional photoacoustic tomography (fPAT) for high resolution detection and characterization of breast cancer and to demonstrate for the first time quantitative hemoglobin concentration and oxygen saturation images of breasts that were formed with model-based reconstruction of tomographic photoacoustic data.The study was HIPAA compliant and was approved by the university institutional review board. Written informed consents were obtained from all the participants. Ten cases, including six cancer and four healthy (mean age = 50 yr; age range = 41-66 yr), were examined. Functional images of breast tissue including absolute total hemoglobin concentration (HbT) and oxygen saturation (StO2%) were obtained by fPAT and cross validated with magnetic resonance imaging (MRI) readings and/or histopathology.HbT and StO2% maps from all six pathology-confirmed cancer cases (60%) show clear detection of tumor, while MR images indicate clear detection of tumor for five of six cancer cases; one small tumor was read as near-complete-resolution by MRI. The average HbT and StO2% value of suspicious lesion area for the cancer cases was 61.6 ± 18.9 μM/l and 67.5% ± 5.2% compared to 25.6 ± 7.4 μM/l and 65.2% ± 3.8% for background normal tissue.fPAT has the potential to be a significant add-on in breast cancer detection and characterization as it provides submillimeter resolution functional images of breast lesions.

The multitude of variables associated with a battery of outcome measures presents a risk for spurious findings in clinical trials and observational studies of mild traumatic brain injury (mTBI). We have used principal components analysis (PCA) to facilitate data reduction by identifying components which represent subsets of neuropsychological measures that are selectively correlated with each other. By merging data from two concurrent mTBI studies using the same outcome measures, we obtained a cohort of 102 mTBI patients and 85 orthopedic injury (OI) comparison patients whom we recruited from 24 hours to 96 hours post-injury and evaluated at one week, 1 month, and 3 months post-injury. Cognitive domains included episodic memory, evaluated by both verbal and visual memory tasks, cognitive processing speed tests, and executive function. Post-concussion and stress-related symptoms were measured by rating scales. PCA identified four components, including cognitive processing speed, verbal memory, visual memory, and a symptom composite representing post-concussion and stress symptoms. mTBI patients older than the mean age of 18 years had slower cognitive processing than the OI patients, but there was no group difference in cognitive processing speed in younger patients. The symptom component score differed significantly as mTBI patients had more severe symptoms than the OI group at each occasion. Our results encourage replication with other cohorts using either the same outcome measures or at least similar domains. PCA is an approach to data reduction that could mitigate spurious findings and increase efficiency in mTBI research.

In daily life, sulfite and bisulfite have been extensively used as antimicrobial agent and antioxidant for food products, beverages and pharmaceutical products, but, SO32−/HSO3− are fantastically harmful to human health, so it is meaningful to develop an effective probe for these two anions. In this work, a new fluorescent material probe 1 was designed and constructed, which was able to sense sulfite and bisulfite through fluorescence “turn-on” manner. Compared with correlative fourteen other anions used, probe 1 showed great selectivity toward sulfite or bisulfite. Furthermore, the probe can detect SO32−/HSO3− with fast response (within 4 min) as well as low detection limit (8.8 nM) compared with the previous work. We characterized the adduct through NMR and X-ray diffraction analysis and further confirmed the detection mechanism of probe 1. Finally, fluorescence imaging of MCF-7 cells indicated that 1 could be used for monitoring SO2 derivatives in living cells with low cytotoxicity.

Infectious bursal disease (IBD) is an acute, highly contagious, and immunosuppressive avian disease caused by IBD virus (IBDV). Our previous report indicates that IBDV VP5 induces apoptosis via interaction with voltage-dependent anion channel 2 (VDAC2). However, the underlying molecular mechanism is still unclear. We report here that receptor of activated protein kinase C 1 (RACK1) interacts with both VDAC2 and VP5 and that they could form a complex. We found that overexpression of RACK1 inhibited IBDV-induced apoptosis in DF-1 cells and that knockdown of RACK1 by small interfering RNA induced apoptosis associated with activation of caspases 9 and 3 and suppressed IBDV growth. These results indicate that RACK1 plays an antiapoptotic role during IBDV infection via interaction with VDAC2 and VP5, suggesting that VP5 sequesters RACK1 and VDAC2 in the apoptosis-inducing process. Infectious bursal disease (IBD) is an acute, highly contagious, and immunosuppressive avian disease caused by IBD virus (IBDV). Our previous report indicates that IBDV VP5 induces apoptosis via interaction with voltage-dependent anion channel 2 (VDAC2). However, the underlying molecular mechanism is still unclear. We report here that receptor of activated protein kinase C 1 (RACK1) interacts with both VDAC2 and VP5 and that they could form a complex. We found that overexpression of RACK1 inhibited IBDV-induced apoptosis in DF-1 cells and that knockdown of RACK1 by small interfering RNA induced apoptosis associated with activation of caspases 9 and 3 and suppressed IBDV growth. These results indicate that RACK1 plays an antiapoptotic role during IBDV infection via interaction with VDAC2 and VP5, suggesting that VP5 sequesters RACK1 and VDAC2 in the apoptosis-inducing process.

Recovery following sports-related concussion (SRC) is slower and often more complicated in young adolescent athletes than in collegiate players. Further, the clinical decision to return to play is currently based on symptoms and cognitive performance without direct knowledge of brain function. We tested the hypothesis that brain functional connectivity (FC) would be aberrant in recently concussed, asymptomatic athletes who had been cleared to return to play. A seed-based FC analysis measured the FC of the default mode network (DMN) (seeds = anterior cingulate cortex, posterior cingulate cortex (PCC), right lateral parietal cortex, and left lateral parietal cortex) 30 days after SRC in asymptomatic high school athletes cleared to return to play (n = 13) and was compared to the FC of high school athletes with orthopedic injury (OI) (n = 13). The SRC group demonstrated greater FC than the OI group between the PCC and the ventral lateral prefrontal cortex, as well as between the right lateral parietal cortex and lateral temporal cortex (with regions both outside of and within the DMN). Additionally, the OI group demonstrated greater FC than the SRC group between right lateral parietal cortex and supramarginal gyrus. When relating the FC results to verbal memory performance approximately 1 week and 1 month after injury, significantly different between-group relations were found for the posterior cingulate and right lateral parietal cortex seeds. However, the groups did not differ in verbal memory at 1 month. We suggest that changes in FC are apparent 1-month post-SRC despite resolution of post-concussion symptoms and recovery of cognitive performance in adolescent athletes cleared to return to play.

Metal‐organic frameworks possess tremendous potential in biomedical areas for their particular structure. In this study, the authors explored Fe 2+ ‐adsorbed nanoscaled zeolitic imidazolate framework‐8 (ZIF‐8) for in vivo multimodal imaging of cancerous cells for early diagnosis of target cancers. The observations demonstrate that adding Fe 2+ into the suspension of ZIF‐8 can neutralize the alkalinity and lower toxicity, while the Fe 2+ ‐adsorbed ZIF‐8 can readily transform to fluorescence ZnO and super paramagnetic Fe 3 O 4 under the synergistic reaction of ROS, GSH, and acids. It is evident that the formation of the nanoclusters ZnO and Fe 3 O 4 only occurred in cancerous cells and does not take place in normal cells, which can be attributed to the different ROS levels and specific micro‐environment in tumor and normal cells. This raises the possibility for the Fe 2+ ‐adsorbed zeolitic imidazolate frameworks to act as promising agents for the in vivo multimodal imaging of cancers in their early stage.

Six new cyclopentenone derivatives (+)-nigrosporione A (+)-1, (−)-nigrosporione A (−)-1, nigrosporione B (2), nigrosporione C (3), (+)-nigrosporione D (+)-4, and (−)-nigrosporione D (−)-4 were isolated from an endophytic fungus Nigrospora sphaerica ZMT05, collected from the rice grasshopper (Oxya chinensis Thunberg), which is an insect pest in rice and which is also used as a food for people in some countries. Their planar and spatial structures were determined by spectroscopic analyses and eletronic circular dichroism (ECD) calculations. Compounds (+)-1, (−)-1, and 2 inhibited the plant pathogens Fusarium oxysporum, Colletotrichum musae, Penicillium italicum, and Fusarium graminearum, compounds 3 and (−)-4 inhibited F. oxysporum, C. musae, and P. italicum, and compound (+)-4 inhibited F. oxysporum, C. musae, and F. graminearum, showing antifungal activities stronger than triadimefon. Additionally, compounds (+)-1, (−)-1, 2, and 3 displayed moderate antibacterial activities against Staphyloccocus aureus and Escherichia coli.

Infectious bursal disease (IBD) is an acute, highly contagious, and immunosuppressive avian disease caused by IBD virus (IBDV). MicroRNAs (miRNAs) are involved in host-pathogen interactions and innate immune response to viral infection. However, the role of miRNAs in host response to IBDV infection is not clear. We report here that gga-miR-155 acts as an anti-virus host factor inhibiting IBDV replication. We found that transfection of DF-1 cells with gga-miR-155 suppressed IBDV replication, while blockage of the endogenous gga-miR-155 by inhibitors enhanced IBDV replication. Furthermore, our data showed that gga-miR-155 enhanced the expression of type I interferon in DF-1 cells post IBDV infection. Importantly, we found that gga-miR-155 enhanced type I interferon expression via targeting SOCS1 and TANK, two negative regulators of type I IFN signaling. These results indicate that gga-miR-155 plays a critical role in cell response to IBDV infection.

Determination of environmental contaminants such as trace formaldehyde mostly relies on bulky and costly analytical equipment. However, a particular demand for portable, rapid, and sensitive method that can be used in resource-limited settings has received paramount concern. Towards this need, we are presenting here a rational design of colorimetric sensor strips using electrospun cellulose nanofibrous membrane-immobilized pararosaniline. Based on the specific reaction between formaldehyde and pararosaniline, the strips could undergo a distinct color transition from light pink to purple, specifically in the presence of trace-level formaldehyde over other possible interferential volatile organic compounds. Benefiting from the large specific surface area and high porosity of nanofibrous membranes, the strips achieved ultralow naked eye detection limit of 0.06 mg m−3 (below the regulatory level of 0.1 mg m−3), wide linear range from 0.12 to 6 mg m−3, and short response time (15 min) in the absence of advanced instrumentation. Additionally, the sensing responses were visualized quantitatively by HSI coordinates which are presented with lightness and chromatic values and analyzed by a principal component analysis method. Furthermore, the strips exhibited remarkably improved analytical performance compared to commercial filter paper-based ones. With its cost-effective design and portability, this sensitive and specific colorimetric strips could potentially be used for providing air contamination information.

Chiral ionic liquids (ILs) have aroused widespread interest in separation science; however, only a few papers have reported the application of chiral ILs in CE for enantioseparation, and the use of chiral ILs as the sole chiral selector in an electrophoretic or a chromatographic system was reported in only three papers. In this study, we designed a lactobionic acid LA-based IL, tetramethylammonium-lactobionate (TMA-LA), and it is very interesting to find that the chiral separation capability can be remarkably improved when a conventional saccharide chiral selector evolved into an IL chiral selector. A comparative study of the enantiorecognition capability of three separation systems (single LA system, LA + TMA-chloride (TMA-Cl) system, and TMA-LA IL system) was also conducted, and the results showed that the use of TMA-LA IL as the sole chiral selector exhibited a remarkable superiority. A series of parameters affecting the enantioseparation, such as the type and proportion of organic modifier, buffer composition and pH, chiral selector concentration, as well as applied voltage were systematically investigated. The best enantioseparation was obtained at pH 7.6 using a 40 mM borax buffer with 40% v/v methanol, 200 mM TMA-LA, and 20 kV applied voltage. It is the first time that a saccharide-based IL is evaluated as a sole chiral selector in CE, and we hope this study would provide a new direction for the development of novel ILs chiral selectors based on conventional chiral selectors.

To study the relation of loss of consciousness (LOC) to white matter integrity after mild traumatic brain injury (mTBI), we acquired diffusion tensor imaging (DTI) at 3 Tesla in 79 participants with mTBI and normal computed tomography (age 18 to 50 years) whom we imaged after a mean post-injury interval of 25.9 h (standard deviation = 12.3) and at 3 months. For comparison, 64 participants with orthopedic injury (OI) underwent DTI at similar intervals. Quantitative tractography was used to measure fractional anisotropy (FA) and mean diffusivity (MD) in the left and right uncinate fasciculus (UF), left and right inferior frontal occipital fasciculus (IFOF), and the genu of the corpus callosum. Generalized estimating equation models assessed the association between LOC and both MD and FA across time after mTBI and compared their DTI metrics with the OI group. LOC was significantly related to MD in UF and IFOF (p values ranged from p < 0.0001 to 0.0270) and to FA in left UF (p = 0.0104) and right UF (p = 0.0404). Between-group differences in MD were significant for left UF, left and right IFOF, and the genu of the corpus callosum on initial DTI, but not at 3 months post-injury, and these differences were specific to the mTBI subgroup with LOC. Groups did not differ in FA at either occasion. Early DTI may provide a biomarker for mTBI with LOC, even in patients whose consciousness recovers by arrival in the emergency department. MD better differentiates mTBI from OI than FA on early DTI, but this is specific to mTBI with LOC. DTI findings support a continuum of white matter injury in early mTBI.

Background Radical trachelectomy is considered a viable option for fertility preservation in patients with low-risk, early-stage cervical cancer. Standard approaches include laparotomy or minimally invasive surgery when performing radical trachelectomy. Primary Objective To compare disease-free survival between patients with FIGO (2009) stage IA2 or IB1 (≤2cm) cervical cancer who underwent open versus minimally invasive (laparoscopic or robotic) radical trachelectomy. Study Hypothesis We hypothesize that minimally invasive radical trachelectomy has similar oncologic outcomes to those of the open approach. Study Design This is a collaborative, multi-institutional, international, retrospective study. Patients who underwent a radical trachelectomy and lymphadenectomy between January 1, 2005 and December 31, 2017 will be included. Institutional review board approval will be required. Each institution will be provided access to a study-specific REDCap (Research Electronic Data Capture) database maintained by MD Anderson Cancer Center and will be responsible for entering patient data. Inclusion Criteria Patients with squamous, adenocarcinoma, or adenosquamous cervical cancer FIGO (2009) stages IA2 and IB1 (≤2 cm) will be included. Surgery performed by the open approach or minimally invasive approach (laparoscopy or robotics). Tumor size ≤2 cm, by physical examination, ultrasound, MRI, CT, or positron emission tomography (at least one should confirm a tumor size ≤2 cm). Centers must contribute at least 15 cases of radical trachelectomy (open, minimally invasive, or both). Exclusion Criteria Prior neoadjuvant chemotherapy or radiotherapy to the pelvis for cervical cancer at any time, prior lymphadenectomy, or pelvic retroperitoneal surgery, pregnant patients, aborted trachelectomy (intra-operative conversion to radical hysterectomy), or vaginal approach. Primary Endpoint The primary endpoint is disease-free survival measured as the time from surgery until recurrence or death due to disease. To evaluate the primary objective, we will compare disease-free survival among patients with FIGO (2009) stage IA2 or IB1 (≤2cm) cervical cancer who underwent open versus minimally invasive radical trachelectomy. Sample Size An estimated 535 patients will be included; 256 open and 279 minimally invasive radical trachelectomy. Previous studies have shown that recurrence rates in the open group range from 3.8% to 7.6%. Assuming that the 4.5-year disease-free survival rate for patients who underwent open surgery is 95.0%, we have 80% power to detect a 0.44 HR using α level 0.10. This corresponds to an 89.0% disease-free survival rate at 4.5 years in the minimally invasive group.

Pancreatic ductal adenocarcinoma (PDAC) tumor microenvironment (TME) consists of multiple cell types interspersed by dense fibrous stroma. These cells communicate through low molecular weight signaling molecules called cytokines. The cytokines, through their receptors, facilitate PDAC initiation, progression, metastasis, and distant colonization of malignant cells. These signaling mediators secreted from tumor-associated macrophages, and cancer-associated fibroblasts in conjunction with oncogenic Kras mutation initiate acinar to ductal metaplasia (ADM), resulting in the appearance of early preneoplastic lesions. Further, M1- and M2-polarized macrophages provide proinflammatory conditions and promote deposition of extracellular matrix, whereas myofibroblasts and T-lymphocytes, such as Th17 and T-regulatory cells, create a fibroinflammatory and immunosuppressive environment with a significantly reduced cytotoxic T-cell population. During PDAC progression, cytokines regulate the expression of various oncogenic regulators such as NFκB, c-myc, growth factor receptors, and mucins resulting in the formation of high-grade PanIN lesions, epithelial to mesenchymal transition, invasion, and extravasation of malignant cells, and metastasis. During metastasis, PDAC cells colonize at the premetastatic niche created in the liver, and lung, an organotropic function primarily executed by cytokines in circulation or loaded in the exosomes from the primary tumor cells. The indispensable contribution of these cytokines at every stage of PDAC tumorigenesis makes them exciting candidates in combination with immune-, chemo- and targeted radiation therapy.

Decentralized finance (DeFi) in Ethereum is a financial ecosystem built on the blockchain that has locked over 200 billion USD until April 2022. All transaction information is transparent and open when transacting through the DeFi protocol, which has led to a series of attacks. Several studies have attempted to optimize it from both economic and technical perspectives. However, few works analyze the vulnerabilities and optimizations of the entire DeFi system. In this paper, we first systematically analyze vulnerabilities related to DeFi in Ethereum at several levels, then we investigate real-world attacks. Finally, we summarize the achievements of DeFi optimization and provide some future directions.

Visible-infrared dual-modal light harvesting is crucial for various optoelectronic devices, particularly for solar cells and photodetectors. Hybrid metal-halide perovskites are recently emerging for visible-infrared dual-modal photodetection owing to their prominent multiphoton absorption and carrier transport performances. However, they work relying on an applied external power source or complicated heterostructures. It is still a difficult task to realize visible-infrared dual-modal self-powered photoresponse induced by a bulk photovoltaic effect (BPVE) in a single material. In this work, we constructed a polar multilayered perovskite, (Br-BA)2(EA)2Pb3Br10 (BEP; EA+ = ethylammonium, and Br-BA+ = 4-brombutylammonium). Notably, the polar feature endows BEP with a BPVE. In addition, BEP presents a distinctive two-photon activity arising from the layered quantum-well structure. Benefitting from these striking characteristics, self-powered visible-infrared dual-modal photodetection is realized, and a direct self-powered detection of 800 nm light with a photocurrent of 2.1 nA cm-2 is achieved. This work will inspire the design of desired photoelectric materials with a BPVE for high-performance self-powered visible-infrared dual-modal photodetection.

Semiconducting single-wall carbon nanotubes (s-SWCNTs) are promising for use in flexible electronics as a channel material. However, it remains a big challenge to directly grow high purity, high-quality s-SWCNTs in large scale. Here we report the synthesis of isolated s-SWCNTs by an oxygen-assisted floating catalyst chemical vapor deposition method. By controlling the density of nucleated SWCNTs, isolated or small-bundled, rather than large-bundled SWCNTs were generated in a floating state, so that the oxygen introduced could more efficiently selectively etch the metallic-SWCNTs formed. In addition, it was found that the oxygen also functions in limiting the size of Fe catalyst nanoparticles in a narrow range of 5–8 nm. As a result, isolated s-SWCNTs with a narrow diameter distribution were synthesized. The content of s-SWCNTs reached ∼96%, and the percentage of isolated tubes was estimated to be ∼83%. Thin-film transistors (TFTs) constructed using the s-SWCNT film showed high on/off ratios ranging from 2.1 × 104 to 1.2 × 106, verifying the effective enrichment of s-SWCNTs.

The diversity of pollutants in wastewater, such as heavy metal ions, dyes, and antibiotics, has threatened the ecological environment and human health for decades. To tackle this harsh issue, we developed a superhydrophilic microfibrous adsorbent to remove diverse pollutants by functionalizing electrospun poly(glycidyl methacrylate) fibers with a high density of iminodiacetic acid (IDA) functional groups. Thanks to strong and broad-spectrum binding affinity of the IDA group and good surface wettability, the resulting superhydrophilic microfibrous adsorbent exhibits excellent adsorption performance toward cationic organic dyes, heavy metal ions, and antibiotics via electrostatic interaction or coordination. It can achieve extraordinarily high adsorption capacities of 2569.70 mg/g, 1621.49 mg/g, 2420.18 mg/g, 175.44 mg/g, 123.46 mg/g, and 389.53 mg/g towards methylene blue, malachite green, methyl violet, Cu2+, Cr3+, and tetracycline, respectively. The absorbent can realize more than 98 % removal rate of these pollutants from water within 20 min. Moreover, its porous membrane structure and pH-dependent adsorption selectivity provide the developed adsorbent with outstanding recyclability. The spent adsorbent can be easily regenerated via a dilute acid solution and reused at least 10 times without apparent loss in performance.

Autophagy plays an important role in host antiviral defense. The avian leukosis virus subgroup J (ALV-J) has been shown to inhibit autophagy while promoting viral replication. The underlying autophagic mechanisms, however, are unknown. Cholesterol 25-hydroxylase (CH25H) is a conserved interferon-stimulated gene, which converts cholesterol to a soluble antiviral factor, 25-hydroxycholesterol (25HC). In this study, we further investigated the autophagic mechanism of CH25H resistance to ALV-J in chicken embryonic fibroblast cell lines (DF1). Our results found that overexpression of CH25H and treatment with 25HC promoted the autophagic markers microtubule-associated protein 1 light chain 3 II (LC3II) and autophagy-related gene 5(ATG5), while decreased autophagy substrate p62/SQSTM1 (p62) expression in ALV-J infection DF-1 cells. Induction of cellular autophagy also reduces the levels of ALV-J gp85 and p27. ALV-J infection, on the other hand, suppresses autophagic marker protein LC3II expression. These findings suggest that CH25H-induced autophagy is a host defense mechanism that aids in ALV-J replication inhibition. In particular, CH25H interacts with CHMP4B and inhibits ALV-J infection in DF-1 cells by promoting autophagy, revealing a novel mechanism by which CH25H inhibits ALV-J infection. Although the underlying mechanisms are not completely understood, CH25H and 25HC are the first to show inhibiting ALV-J infection via autophagy.

There are many problems in Social Internet of Things(IoTs), such as complex topology information, different degree of association between nodes and overlapping communities. The idea of set pair information grain computing and clustering is introduced to solve the above problems so as to accurately describe the similarity between nodes and fully explore the multi-community structure. A Set Pair Three-Way Overlapping Community Discovery Algorithm for Weighted Social Internet of Things (WSIoT-SPTOCD) is proposed. In the local network structure, which fully considers the topological information between nodes, the set pair connection degree is used to analyze the identity, difference and reverse of neighbor nodes. The similarity degree of different neighbor nodes is defined from network edge weight and node degree, and the similarity measurement method of set pair between nodes based on the local information structure is proposed. According to the number of nodes' neighbors and the connection degree of adjacent edges, the clustering intensity of nodes is defined, and an improved algorithm for initial value selection of k-means is proposed. The nodes are allocated according to the set pair similarity between nodes and different communities. Three-way community structures composed of a positive domain, boundary domain and negative domain are generated iteratively. Next, the overlapping node set is generated according to the calculation results of community node membership. Finally, experiments are carried out on artificial networks and real networks. The results show that WSIoT-SPTOCD performs well in terms of standardized mutual information, overlapping community modularity and F1.

Mucin4 (MUC4) appears early during pancreatic intraepithelial neoplasia-1 (PanIN1), coinciding with the expression of epidermal growth factor receptor-1 (EGFR). The EGFR signaling is required for the onset of Kras-driven pancreatic ductal adenocarcinoma (PDAC); however, the players and mechanisms involved in sustained EGFR signaling in early PanIN lesions remain elusive. We generated a unique Esai-CRISPR-based Muc4 conditional knockout murine model to evaluate its effect on PDAC pathology. The Muc4 depletion in the autochthonous murine model carrying K-ras and p53 mutations (K-rasG12D; TP53R172H; Pdx-1cre, KPC) to generate the KPCM4-/- murine model showed a significant delay in the PanIN lesion formation with a significant reduction (p < 0.01) in EGFR (Y1068) and ERK1/2 (T202/Y204) phosphorylation. Further, a significant decrease (p < 0.01) in Sox9 expression in PanIN lesions of KPCM4-/- mice suggested the impairment of acinar-to-ductal metaplasia in Muc4-depleted cells. The biochemical analyses demonstrated that MUC4, through its juxtamembrane EGF-like domains, interacts with the EGFR ectodomain, and its cytoplasmic tail prevents EGFR ubiquitination and subsequent proteasomal degradation upon ligand stimulation, leading to sustained downstream oncogenic signaling. Targeting the MUC4 and EGFR interacting interface provides a promising strategy to improve the efficacy of EGFR-targeted therapies in PDAC and other MUC4-expressing malignancies.

The habitat environment of karst regions is facing challenges, such as rocky desertification and soil erosion. Traditional villages are among the most important components for the long-term survival and development of the habitat in karst areas, so the distribution patterns of traditional villages need to be understood for the conservation of karst habitats. In this study, a multidimensional framework was constructed to explore the distribution patterns of traditional villages in karst areas of China from planimetric, topographic, humanistic, socioeconomic, and hydrogeologic dimensions. We used geographical spatial analysis indicators and related analysis methods to analyze the main distribution patterns of traditional villages in karst landscape areas. Results showed that in the planimetric dimension, the distribution of traditional villages exhibited a cohesive pattern of "one core and many points." In the topographic dimension, the number of traditional villages showed an inverted-U-shape change with rising altitude, and the villages were concentrated in the area with an altitude of 600–800 m a.s.l and a slope <5°. In the humanistic dimension, the distribution was dominated by Han (37.32%), Miao (21.3%), and Dong (10.61%) ethnic minorities, which were mostly found in the low-population-density area with 100–200 people/km2. In the socioeconomic dimension, the traditional villages had low traffic density and GDP per capita and were far from cities. In the hydrogeological dimension, the traditional villages were mainly located in areas with a groundwater runoff modulus >30 L/s-km2. This study expands our understanding of the characteristics of traditional settlements in karst areas and provides effective guidance for the future planning and heritage management of settlements in karst areas.

Photoferroelectrics, especially emerging halide perovskite ferroelectrics, have motivated tremendous interests owing to their fascinating bulk photovoltaic effect (BPVE) and cross-coupled functionalities. However, solid solutions of halide perovskite photoferroelectrics with controllable structure and enhanced performance are scarcely explored. Herein, through mixing cage cation, a homogeneous halide perovskite photoferroelectric PA2 FAx MA1-x Pb2 Br7 solid solution (PA, FA and MA are CH3 CH2 CH2 NH3+ , NH2 CHNH2+ and CH3 NH3+ , 0≤x≤1) has been developed, which demonstrates tunable Curie temperature in a wide range of 263-323 K and excellent optoelectrical features. As the component adjusted to x=0.7, the bulk crystal demonstrates ultrahigh pyroelectric coefficient up to 1.48 μC cm-2 K-1 around room temperature. Strikingly, benefiting from the light-induced pyroelectricity and remarkable BPVE, a self-powered and sensitive photodetector based solid solution crystals with boosted responsivity and detectivity over than 1300 % has been achieved. This pioneering work sheds light on the exploration of photoferroelectric solid solutions towards high-performance photoelectronic devices.

Abstract Flexible thermoelectric materials have attracted increasing interest because of their potential use in thermal energy harvesting and high‐spatial‐resolution thermal management. However, a high‐performance flexible micro‐thermoelectric device (TED) compatible with the microelectronics fabrication process has not yet been developed. Here a universal epitaxial growth strategy is reported guided by 1D van der Waals‐coupling, to fabricate freestanding and flexible hybrids comprised of single‐wall carbon nanotubes and ordered (Bi,Sb) 2 Te 3 nanocrystals. High power factors ranging from ≈1680 to ≈1020 µW m −1 K −2 in the temperature range of 300–480 K, combined with a low thermal conductivity yield a high average figure of merit of ≈0.81. The fabricated flexible micro‐TED module consisting of two p–n couples of freestanding thermoelectric hybrids has an unprecedented open circuit voltage of ≈22.7 mV and a power density of ≈0.36 W cm −2 under ≈30 K temperature difference, and a net cooling temperature of ≈22.4 K and a heat absorption density of ≈92.5 W cm −2 .

Automatic code Summarization generation technology is widely used in the development and maintenance of smart contracts. In recent years, with the advent of Large Language Models (LLMs), Gemini has received a lot of attention as the first Large Multimodal models (LMMs) to support multimodal input. However, it is unclear how LMMs can generate contract code summarization from multimodal inputs. In this paper, we focus on evaluating Gemini on real-world smart contracts, comparing it to the MMTrans, and exploring how to combine multimodal prompts to generate a contract code summarization. We used several widely used metrics (BLEU, METEOR, and ROUGE-L) to measure the quality of the generated summarization. Our experiments show that METEOR and ROUGEL metrics, Gemini-Pro-Vision achieves 21.17% and 21.05% scores for code comments generated by three-shot prompts. These scores are better than those generated by one-shot and five-shot prompts.

Security issues have been emphasized when mobile ad hoc networks (MANETs) are employed into military and aerospace fields. We design a novel secure routing protocol for MANETs. This protocol TAODV (Trusted AODV) extends the widely used AODV (ad hoc on-demand distance vector) routing protocol and employs the idea of a trust model to protect routing behaviors in the network layer of MANETs. In the TAODV, trust among nodes is represented by opinion, which is an item derived from subjective logic. The opinions are dynamic and updated frequently as our protocol specification: if one node performs normal communications, its opinion from other nodes' points of view can be increased; otherwise, if one node performs some malicious behaviors, it is ultimately denied by the whole network. A trust recommendation mechanism is also designed to exchange trust information among nodes. The salient feature of TAODV is that, using trust relationships among nodes, there is no need for a node to request and verify certificates all the time. This greatly reduces the computation overheads. Meanwhile, with neighbors' trust recommendations, a node can make objective judgement about another node's trustworthiness to maintain the whole system at a certain security level.

Social problem solving was assessed in 28 youth ages 12-19 years (15 with moderate to severe traumatic brain injury (TBI), 13 uninjured) using a naturalistic, computerized virtual reality (VR) version of the Interpersonal Negotiations Strategy interview (Yeates, Schultz, & Selman, 1991). In each scenario, processing load condition was varied in terms of number of characters and amount of information. Adolescents viewed animated scenarios depicting social conflict in a virtual microworld environment from an avatar's viewpoint, and were questioned on four problem solving steps: defining the problem, generating solutions, selecting solutions, and evaluating the likely outcome. Scoring was based on a developmental scale in which responses were judged as impulsive, unilateral, reciprocal, or collaborative, in order of increasing score. Adolescents with TBI were significantly impaired on the summary VR-Social Problem Solving (VR-SPS) score in Condition A (2 speakers, no irrelevant information), p=0.005; in Condition B (2 speakers+irrelevant information), p=0.035; and Condition C (4 speakers+irrelevant information), p=0.008. Effect sizes (Cohen's D) were large (A=1.40, B=0.96, C=1.23). Significant group differences were strongest and most consistent for defining the problems and evaluating outcomes. The relation of task performance to cortical thickness of specific brain regions was also explored, with significant relations found with orbitofrontal regions, the frontal pole, the cuneus, and the temporal pole. Results are discussed in the context of specific cognitive and neural mechanisms underlying social problem solving deficits after childhood TBI.

Foot-and-mouth disease (FMD) is an acute, highly contagious animal disease caused by FMD virus (FMDV). Although FMDV-induced immunosuppression in host has been well established, the exact molecular mechanism for such induction is not very clear. We report here the identification of FMDV VP1 as an interferon-suppressor by interacting with soluble resistance-related calcium binding protein (sorcin). We found that VP1 suppressed tumor necrosis factor (TNF)-α or Sendai virus (SeV)-induced type I interferon response in HEK293T cells, and that this suppression could be completely abolished by knockdown of sorcin by shRNA. Furthermore, overexpression of sorcin inhibited type I interferon response. Conversely, TNF- or SeV-induced type I interferon response increased when sorcin knocked down, leading to inhibition of vesicular stomatitis virus (VSV) replication. Thus, VP1-induced suppression of type I interferon is mediated by interacting with sorcin, a protein that appears to regulate cell response to viral infections.

We studied social cognition in 49 children 3 months after moderate to severe traumatic brain injury (TBI) and in 39 children with orthopedic injury (OI). Children underwent diffusion tensor imaging (DTI) and a mental attribution task showing two triangles. Mental state attributions increased when one triangle reacted to intentions of the other, but less so in the TBI than the OI group. DTI identified injury to white matter microstructure in the TBI group, but the relation of DTI to mental attributions did not differ between groups. Moderate to severe TBI produces white matter disconnections that may affect social cognitive networks.

A novel, sensitive, selective, and reproductive formaldehyde sensor has been developed by coating polyvinylamine (PVAm) modified electrospun polyacrylonitrile (PAN) nanofibrous membranes on quartz crystal microbalance (QCM) for the first time. Benefiting from the abundant primary amine groups in PVAm, large specific surface area, high porosity and hierarchal structure of PAN nanofibers, and the strong interaction between PVAm molecule and formaldehyde, the as-prepared QCM sensors achieved an extremely low detection limit of 500 ppb in a remarkably short period of time (120 s). Moreover, the sensitivity of the fibrous membranes based sensors are 2.5 times higher than that of flat film-based ones when upon exposure to 500 ppb formaldehyde. Furthermore, the as-prepared QCM sensors possess excellent reproducibility, reversibility, and good selectivity by virtue of the reversible nucleophilic addition reaction between formaldehyde molecule and primary amine group in PVAm. Hence, such promising QCM sensors could not only potentially allow for monitoring gaseous formaldehyde, but also pave a way for designing and development of novel QCM sensing systems based on functionalized nanofibrous membranes.

Accurate wind speed prediction is a prerequisite of large-scale wind power generation. There are several uncertain factors which degrade the performance of the current wind speed prediction systems. Fuzzy rough sets are considered as a powerful tool to deal with uncertainty, and have been widely discussed and applied in classification learning. In this work we describe a regression algorithm based on fuzzy rough sets, consisting of fuzzy partition, fuzzy approximation and estimation of regression values. In this algorithm, the training set is divided into k fuzzy classes with fuzzy partition, and then the predicted values of test samples are determined in the finite intervals with fuzzy rough approximation, finally they are estimated with lower and upper limits of the intervals. Numerical experiments on UCI data sets and wind speed prediction show the effectiveness of the proposed algorithm.

Mild traumatic brain injury (mTBI) has recently gained appreciation as a significant public health problem, which has highlighted just how little is known about its proximal and long-term effects. A major challenge in the study of mTBI is the heterogeneity of the condition. Research on mTBI has historically separated sport and nonsport etiologies, and the extent to which research from one of these samples translates to the other is unclear. This review examines the literature on mTBI, with a focus on comparing sport and nonsport etiologies with regard to the latest research on biomechanics, pathophysiology, neurocognitive effects, and neuroimaging. Issues of particular relevance to sports injuries, such as exercise, repetitive injuries, subconcussive blows, and chronic injury effects, are also reviewed.

Cytochrome P450 (CYP), ATP-binding cassette transporters (ABCB1), and paraoxonase-1 (PON1) play crucial roles in clopidogel absorption and bioactivation. Genetic polymorphisms in these genes have been associated with the variability of the response to clopidogrel, however their contribution to high on-treatment platelet reactivity (HPR) in clopidogrel treated Chinese patients is less known.Five-hundred Chinese-Han patients treated with clopidogrel for acute coronary syndrome (ACS) were consecutively recruited from the Department of Geriatric Cardiology, General Hospital of Chinese People's Liberation Army, from September 2010 to September 2012. We assessed the relations of CYP2C19*2 (rs4244285), CYP2C19*3 (rs4986893), CYP2C19*17 (rs12248560), PON1Q129R (rs662) and ABCB1C3435T (rs1045642) to the platelet aggregation after 5 days maintenance dose of clopidogrel administration, and the risk for HPR. The cutoff of HPR was defined as 20 μmol/L adenosine diphosphate (ADP)-induced platelet aggregation>50%.Both CYP2C19*2 and *3 alleles were significantly associated with higher platelet aggregation after 5 days maintenance dose of clopidogrel administration (P<0.00001 and P=0.042, respectively). The platelet aggregation in carriers of at least one CYP2C19 loss-of-function allele (*2 or *3, accounted for 58% of the study population) was obviously higher than that in non-carriers (P<0.00001). Patients with the CYP2C19*2 allele had a higher risk of HPR than those with the CYP2C19 wild-type genotype [adjusted hazard ratio (HR), 1.56; 95% confidence interval(CI), 1.04-2.33, P=0.03]. The carriers of at least one CYP2C19 loss-of-function allele could also predict significantly greater risk of HPR compared with non-carriers (adjusted HR1.79,95% CI: 1.33-2.4,P=0.003). However, the carriage of CYP2C19*3 alone could not predict the risk of HPR significantly (adjusted HR, 1.5; 95% CI: 0.83-3, P=0.16). Significant relation of CYP2C19*17, PON1Q129R and ABCB1C3435T to the platelet aggregation was not found.In clopidogrel treated Chinese patients with ACS, carriers of at least one CYP2C19 loss-of-function allele could predict greater risk of HPR, with the impact mainly attributing to CYP2C19*2. Neither ABCB1 nor PON1 genotype could influence the antiplatelet response of clopidogrel in the cohort of Chinese patients.

Introduction High-dose clopidogrel has been recommended to overcome clopidogrel non-responsiveness in patients undergoing percutaneous coronary intervention (PCI), especially those with CYP2C19 loss-of-function genotypes. However, there is controversy over the pharmacodynamics and clinical effects of the strategy. This meta-analysis was conducted to evaluate the antiplatelet effects of high-dose clopidogrel according to CYP2C19*2 alleles in patients undergoing PCI. Methods Based on PubMed, Cochrane, and EMBASE prior to June 1st, 2014, a systematic review and meta-analysis was conducted to evaluate the antiplatelet effects of high-dose clopidogrel on platelet reactivity and clinical outcomes in PCI treated patients according to CYP2C19*2 genotypes. The reported outcomes including on-treatment platelet reactivity (OTPR), high on-treatment platelet reactivity (HTPR), major adverse cardiovascular events (MACE), stent thrombosis and composite cardiovascular events. Results Nineteen studies involving 10,960 patients were included. After high-dose clopidogrel administration (600/900 mg loading dose and/or 150 mg/day maintenance dose), compared with non-carriers, carriers of CYP2C19*2 genotype had significantly increased OTPR (SMD for VASP assay: 0.69, 95% CI: 0.48-0.90, p = 4 × 10-4; for VerifyNow P2Y12 assay: 0.70, 95% CI: 0.54-0.85, p < 10-5; for LTA assay:0.58, 95% CI: 0.48-0.69, p = 4 × 10-4). The incidence rate of HTPR was higher in CYP2C19*2 carriers after high-dose clopidogrel treatment (RR: 1.21, 95% CI:1.05-1.39, p = 0.008 for cutoff PRI >50% by VASP assay; RR: 1.69, 95% CI: 1.44-1.98, p < 1 × 10-4 for cutoff PRU >230 by VerifyNow P2Y12 assay). As for clinical outcomes, CYP2C19*2 was associated with higher risk for MACE (RR: 1.68, 95% CI: 1.19- 2.37, p = 0.003), stent thrombosis (RR: 1.75, 95% CI: 1.31-2.34, p = 0.0001), as well as composite cardiovascular events (RR: 1.82, 95% CI: 1.42- 2.34, p < 10-5) after treated by high-dose clopidogrel. Conclusion High-dose clopidogrel could not overcome the variability of clopidogrel antiplatelet effects between the CYP2C19 *2 carriers and non-carriers in patients treated with PCI.