Xiao‐Jia Wang

More and more evidence indicates that circular RNAs (circRNAs) have important roles in several diseases, especially in cancers. However, their involvement remains to be investigated in breast cancer. Through screening circRNA profile, we identified 235 differentially expressed circRNAs in breast cancer. Subsequently, we explored the clinical significance of two circTADA2As in a large cohort of triple-negative breast cancer (TNBC), and performed functional analysis of circTADA2A-E6 in vitro and in vivo to support clinical findings. Finally, we evaluated the effect of circTADA2A-E6 on miR-203a-3p and its target gene SOCS3. We detected two circRNAs, circTADA2A-E6 and circTADA2A-E5/E6, which were among the top five differentially expressed circRNAs in breast cancer. They were consistently and significantly decreased in a large cohort of breast cancer patients, and their downregulation was associated with poor patient survival for TNBC. Especially, circTADA2A-E6 suppressed in vitro cell proliferation, migration, invasion, and clonogenicity and possessed tumor-suppressor capability. circTADA2A-E6 preferentially acted as a miR-203a-3p sponge to restore the expression of miRNA target gene SOCS3, resulting in a less aggressive oncogenic phenotype. circTADA2As as promising prognostic biomarkers in TNBC patients, and therapeutic targeting of circTADA2As/miRNA/mRNA network may be a potential strategy for the treatment of breast cancer.

Taxus leaves provide the raw industrial materials for taxol, a natural antineoplastic drug widely used in the treatment of various cancers. However, the precise distribution, biosynthesis, and transcriptional regulation of taxoids and other active components in Taxus leaves remain unknown. Matrix-assisted laser desorption/ionization-mass spectrometry imaging analysis was used to visualize various secondary metabolites in leaf sections of Taxus mairei, confirming the tissue-specific accumulation of different active metabolites. Single-cell sequencing was used to produce expression profiles of 8846 cells, with a median of 2352 genes per cell. Based on a series of cluster-specific markers, cells were grouped into 15 clusters, suggesting a high degree of cell heterogeneity in T. mairei leaves. Our data were used to create the first Taxus leaf metabolic single-cell atlas and to reveal spatial and temporal expression patterns of several secondary metabolic pathways. According to the cell-type annotation, most taxol biosynthesis genes are expressed mainly in leaf mesophyll cells; phenolic acid and flavonoid biosynthesis genes are highly expressed in leaf epidermal cells (including the stomatal complex and guard cells); and terpenoid and steroid biosynthesis genes are expressed specifically in leaf mesophyll cells. A number of novel and cell-specific transcription factors involved in secondary metabolite biosynthesis were identified, including MYB17, WRKY12, WRKY31, ERF13, GT_2, and bHLH46. Our research establishes the transcriptional landscape of major cell types in T. mairei leaves at a single-cell resolution and provides valuable resources for studying the basic principles of cell-type-specific regulation of secondary metabolism.

This study aimed to explore possible associations between molecular subtypes and site of distant metastasis in advanced breast cancer (ABC).3577 ABC patients were selected from 21 hospitals of seven geographic regions in China from 2012-2014. A questionnaire was designed to collect medical information regarding demographic characteristics, risk factors, molecular subtype, recurrence/metastasis information, and disease-free survival (DFS). The cancers were classified into Luminal A, Luminal B, HER2-enriched and Triple Negative subtypes. Chi-square test and multivariate Cox proportional hazard models were performed to explore the associations between molecular subtypes and distant metastasis sites.A total of 2393 cases with molecular subtypes information were finally examined. Patients with Luminal A (51.1%) and Luminal B (44.7%) were most prone to bone metastasis, whereas liver metastasis was more frequently observed in HER2-enriched ABC patients (29.1%).The cumulative recurrence and metastasis rates of ABC patients at 36 months of DFS were the most significant within molecular types, of which Triple Negative was the highest (82.7%), while that of Luminal A was the lowest (58.4%). In the adjusted Cox regression analysis, Luminal B, HER2-enriched and Triple Negative subtypes increased the risk of visceral metastasis by 23%, 46% and 87% respectively. In addition, Triple Negative patients had a higher probability of brain metastasis (HR 3.07, 95% CI: 1.04-9.07).Molecular subtypes can predict the preferential sites of distant metastasis, emphasizing that these associations were of great help in choices for surveillance, developing appropriate screening and cancer management strategies for follow-up and personalized therapy in ABC patients.

Abstract Site‐specific recognition modules with DNA nuclease have tremendous potential as molecular tools for genome targeting. The type III transcription activator‐like effectors (TALEs) contain a DNA binding domain consisting of tandem repeats that can be engineered to bind user‐defined specific DNA sequences. We demonstrated that customized TALE‐based nucleases (TALENs), constructed using a method called “unit assembly”, specifically target the endogenous FRIGIDA gene in Brassica oleracea L. var. capitata L. The results indicate that the TALENs bound to the target site and cleaved double‐strand DNA in vitro and in vivo , whereas the effector binding elements have a 23 bp spacer. The T7 endonuclease I assay and sequencing data show that TALENs made double‐strand breaks, which were repaired by a non‐homologous end‐joining pathway within the target sequence. These data show the feasibility of applying customized TALENs to target and modify the genome with deletions in those organisms that are still in lacking gene target methods to provide germplasms in breeding improvement.

Abstract. Black carbon (BC) has important impact on climate and environment due to its light absorption ability, which greatly depends on its physicochemical properties including morphology, size and mixing state. The size distribution of the refractory BC (rBC) was investigated in urban Beijing in the late winter of 2014, during which there were frequent haze events, through analysis of measurements obtained using a single-particle soot photometer (SP2). By assuming void-free rBC with a density of 1.8 g cm−3, the mass of the rBC showed an approximately lognormal distribution as a function of the volume-equivalent diameter (VED), with a peak diameter of 213 nm. Larger VED values of the rBC were observed during polluted periods than on clean days, implying an alteration in the rBC sources, as the size distribution of the rBC from a certain source was relative stable, and VED of an individual rBC varied little once it was emitted into the atmosphere. The potential source contribution function analysis showed that air masses from the south to east of the observation site brought higher rBC loadings with more thick coatings and larger core sizes. The mean VED of the rBC presented a significant linear correlation with the number fraction of thickly coated rBC, extrapolating to be ∼ 150 nm for the completely non-coated or thinly coated rBC. It was considered as the typical mean VED of the rBC from local traffic sources in this study. Local traffic was estimated to contribute 35 to 100 % of the hourly rBC mass concentration with a mean of 59 % during the campaign. Lower local traffic contributions were observed during polluted periods, suggesting increasing contributions from other sources (e.g., coal combustion and biomass burning) to the rBC. Thus, the heavy pollution in Beijing was greatly influenced by other sources in addition to the local traffic.

Heat and power micro-grids are of great significance in improving the flexibility, efficiency, and reliability of the energy system. Load dispatch of micro-grids considering the emergency demand response (EDR) program is an important optimization problem, which requires the consumers to respond to the emergency load reduction signals in real-time. In this regard, an optimal load dispatch strategy of heat and power micro-grids is proposed to respond to the EDR signals without compromising customers’ production process. The strategy encompasses two stages, the rolling optimization stage (ROS) and the real-time emergency demand response stage (REDRS). The tow-stage optimization model is proposed to address the coordination problems brought by the EDR events. The ROS integrated with the model predictive control (MPC) framework is to alleviate the negative effects due to the deviation between the forecasting and real-time data. REDRS is to generate a real-time load reduction plan in response to the EDR events. The proposed strategy makes the efforts to achieve the economic and environmental dispatch of micro-grids with both heat and power demand satisfied. In this study, four cases are discussed to verify the performance of the two-stage strategy. The simulation results show that the total cost and purchased electricity can be effectively reduced through participating EDR programs. It can also be seen from the numerical simulations that the large consumer could gain 23.51–41.83% of the electricity reduction which is purchased from the grid and decrease 11.04–13.28% of total cost in each EDR interval. Besides, the short and long term simulations reveal that the utility company could also achieve the reduction of peak load which could be seen as a “win-win” strategy.

Prognostics and health management (PHM) are gradually being applied to production management processes as industrial production is gradually undergoing a transformation, turning into intelligent production and leading to increased demands on the reliability of industrial equipment. Remaining useful life (RUL) prediction plays a pivotal role in this process. Accurate prediction results can effectively provide information about the condition of the equipment on which intelligent maintenance can be based, with many methods applied to this task. However, the current problems of inadequate feature extraction and poor correlation between prediction results and data still affect the prediction accuracy. To overcome these obstacles, we constructed a new fusion model that extracts data features based on a broad learning system (BLS) and embeds long short-term memory (LSTM) to process time-series information, named as the B-LSTM. First, the LSTM controls the transmission of information from the data to the gate mechanism, and the retained information generates the mapped features and forms the feature nodes. Then, the random feature nodes are supplemented by an activation function that generates enhancement nodes with greater expressive power, increasing the nonlinear factor in the network, and eventually the feature nodes and enhancement nodes are jointly connected to the output layer. The B-LSTM was experimentally used with the C-MAPSS dataset and the results of comparison with several mainstream methods showed that the new model achieved significant improvements.

This goal of this paper is to provide a framework by which China should accelerate the development and production of new energy vehicles, which should effectively address current energy and environmental pressures, while promoting the sustainable development of the automotive industry, which is an urgent task. In addition, this paper provides guidelines that seek to transform China’s auto industry while developing a new economic growth point to gain an international competitive advantage with strategic initiatives. This study aims to provide an ANP-SWOT (Analytic Network Process and Strength-Weakness-Opportunity-Threat analysis) approach for an interdependency analysis and to prioritize the new energy automobile industry in China. Firstly, a SWOT model is used to analyze the internal and external factors surrounding the development of the new energy automobile industry in China. Secondly, four types of development strategies are proposed by means of the SWOT matrix according to the conclusions of the factor analysis. Finally, the ANP network structure is designed to measure the effects of influential sub-factors, and then to define a strategic plan for China’s new energy automobile industry. The results of this study show that the optimal short-term development strategy for China’s new energy automotive industry is to increase the construction of new energy vehicle-related facilities, while the best long-term development strategy is to use local advantages and resources, through cost control measures which increase competition within the local new energy automotive industry.

In actual industrial application scenarios, noise pollution makes it difficult to extract fault features accurately via conventional methods. A novel method for rolling bearing fault diagnosis combining a convolutional neural network (CNN), an attention mechanism for a squeeze-and-excitation network (SENet) module and a broad learning system (BLS) is proposed (SECNN–BLS). The one-dimensional bearing vibration signal is processed by using multiple short-time Fourier transforms (STFT); the two-dimensional image in the time-frequency domain is used as the model input. In the CNN fault feature extraction process, SENet is introduced to replace the CNN convolution layer, and global information is obtained through the squeeze operation. Excitation operation captures the importance of image channels, assigns weights adaptively to improve the attention on important information and eliminates the interference of irrelevant features without increasing the spatial and temporal complexity. The weighted feature representation is then transferred to the BLS input. The BLS has the characteristics of a flat structure and ridge regression to quickly solve the weights; as a fault classifier, it can save more computing resources and improve the accuracy of the fault classification. The SECNN–BLS fault diagnosis has achieved more than 98% accuracy on the Society for Machinery Failure Prevention Technology (MFPT) dataset. We also demonstrate the excellent performance of SECNN–BLS in a noisy environment.

Viral mRNA of coronavirus translates in an eIF4E-dependent manner, and the phosphorylation of eIF4E can modulate this process, but the role of p-eIF4E in coronavirus infection is not yet entirely evident. p-eIF4E favors the translation of selected mRNAs, specifically the mRNAs that encode proteins associated with cell proliferation, inflammation, the extracellular matrix, and tumor formation and metastasis. In the present work, two rounds of TMT relative quantitative proteomics were used to screen 77 cellular factors that are upregulated upon infection by coronavirus PEDV and are potentially susceptible to a high level of p-eIF4E. PEDV infection increased the translation level of ribosomal protein lateral stalk subunit RPLp2 (but not subunit RPLp0/1) in a p-eIF4E-dependent manner. The bicistronic dual-reporter assay and polysome profile showed that RPLp2 is essential for translating the viral mRNA of PEDV. RNA binding protein and immunoprecipitation assay showed that RPLp2 interacted with PEDV 5′UTR via association with eIF4E. Moreover, the cap pull-down assay showed that the viral nucleocapsid protein is recruited in m7GTP-precipitated complexes with the assistance of RPLp2. The heterogeneous ribosomes, which are different in composition, regulate the selective translation of specific mRNAs. Our study proves that viral mRNA and protein utilize translation factors and heterogeneous ribosomes for preferential translation initiation. This previously uncharacterized process may be involved in the selective translation of coronavirus.

The endoplasmic reticulum (ER) stress response is a highly conserved stress-defense mechanism and activates the adaptive unfolded protein response (UPR) to mitigate imbalance. The ER stress-activated signaling pathways can also trigger autophagy to facilitate cellular repair. Bovine viral diarrhea virus (BVDV) utilizes the host cellular ER as the primary site of the life cycle. However, the interplay between cellular ER stress and BVDV replication remains unclear. This report reveals that cytopathic (cp) and noncytopathic (ncp) BVDV have distinct strategies to regulate UPR mechanisms and ER stress-mediated autophagy for their own benefit. Immunoblot analysis revealed that cp and ncp BVDV differentially regulated the abundance of ER chaperone GRP78 for viral replication, while the protein kinase RNA-like ER kinase (PERK)-eukaryotic translation initiation factor 2 subunit α (eIF2α)-activating transcription factor 4 (ATF4) pathway of the UPR was switched on at different stages of infection. Pretreatment with ER stress inducer promoted virion replication, but RNA interference (RNAi) knockdown of ATF4 in BVDV-infected cells significantly attenuated BVDV infectivity titers. More importantly, the effector ATF4 activated by cp BVDV infection translocated into the nucleus to mediate autophagy, but ATF4 was retained in the cytoplasm during ncp BVDV infection. In addition, we found that cp BVDV core protein was localized in the ER to induce ER stress-mediated autophagy. Overall, the potential therapeutic target ATF4 may contribute to the global eradication campaign of BVDV. IMPORTANCE The ER-tropic viruses hijack the host cellular ER as the replication platform of the life cycle, which can lead to strong ER stress. The UPR and related transcriptional cascades triggered by ER stress play a crucial role in viral replication and pathogenesis, but little is known about these underlying mechanisms. Here, we report that cytopathic and noncytopathic BVDV use different strategies to reprogram the cellular UPR and ER stress-mediated autophagy for their own advantage. The cytopathic BVDV unconventionally downregulated the expression level of GRP78, creating perfect conditions for self-replication via the UPR, and the noncytopathic BVDV retained ATF4 in the cytoplasm to provide an advantage for its persistent infection. Our findings provide new insights into exploring how BVDV and other ER-tropic viruses reprogram the UPR signaling pathway in the host cells for replication and reveal the attractive host target ATF4 for new antiviral agents.

Photocatalytic degradation, as a very significant advanced oxidation technology in the field of environmental purification, has attracted extensive attention in recent years. The design and synthesis of catalysts with high-intensity photocatalytic properties have been the focus of many researchers in recent years. In this contribution, two new supramolecular materials {[(L1)·(Ag4I7)]CH3CN} (1), {[(L2)·(Ag4I7)]CH3CN} (2) were synthesized by solution volatilization reaction of two cationic templates 1,3,5-Tris(4-aminopyridinylmethyl)-2,4,6-Trimethylphenyl bromide (L1) and 1,3,5-Tris(4-methyl pyridinyl methyl)-2,4,6-trimethylphenyl bromide (L2) with metal salt AgI at room temperature, respectively. The degradation effect of 1 and 2 as catalyst on tetracycline (TC) under visible light irradiation was studied. The results showed that the degradation of TC by 1 was better than that by 2 and both of them had good stability and cyclability. The effects of pH value, catalyst dosage, and anion in water on the photocatalytic performance were also investigated. The adsorption kinetics fit the quasi-first-order model best. After 180 min of irradiation with 1, the degradation rate of TC can reach 97.91%. In addition, the trapping experiments showed that ·OH was the main active substance in the photocatalytic degradation of TC compared with ·O2− and h+. Because of its simple synthesis and high removal efficiency, catalyst 1 has potential value for the treatment of wastewater containing organic matter.

In previous work, we designed peptides that showed potent inhibition of Newcastle disease virus (NDV) and infectious bronchitis virus (IBV) infections in chicken embryos. In this study, we demonstrate that peptides modified with cholesterol or 3 U of polyethylene glycol (PEG3) conjugated to the peptides' N termini showed even more promising antiviral activities when tested in animal models. Both cholesterol- and cholesterol-PEG3-tagged peptides were able to protect chicken embryos from infection with different serotypes of NDV and IBV when administered 12 h prior to virus inoculation. In comparison, the untagged peptides required intervention closer to the time of viral inoculation to achieve a similar level of protection. Intramuscular injection of cholesterol-tagged peptide at 1.6 mg/kg 1 day before virus infection and then three times at 3-day intervals after viral inoculation protected 70% of the chickens from NDV infection. We further demonstrate that the cholesterol-tagged peptide has an in vivo half-life greater than that of untagged peptides. It also has the potential to cross the blood-brain barrier to enter the avian central nervous system (CNS). Finally, we show that the cholesterol-tagged peptide could play a role before the viral fusion peptide's insertion into the host cell and thereby target an earlier stage of fusion glycoprotein activation. Our findings are of importance for the further development of antivirals with broad-spectrum protective effects.

Feline panleukopenia caused by feline parvovirus (FPV), a single-stranded DNA virus, is typically highly contagious and often presents with lethal syndrome. The broad spectrum of possible hosts suggests its potential for transmission from animal to person through close contact with pets. FPV thus serves as an example of the importance of new rapid point-of-care field diagnostic tools for the control and prevention of transmission, especially among rare wild animals and pet cats. Recombinase polymerase amplification (RPA), as a real-time and isothermal method, could be a more affordable alternative to PCR when combined with a lateral flow dipstick (LFD) indicator. In this study, we report a novel FPV lateral flow dipstick RPA (LFD-RPA) instant detection method capable of detecting a range of different FPV strains. The LFD-RPA assay consists of specific primers, probe, and nucleic acid strip. It is capable of detecting 102 copies of target nucleic acid per reaction, which is one order of magnitude higher than the sensitivity of traditional PCR. The most suitable reaction conditions for this assay are at 38 ℃ for 15 min. This paper develops an efficient visual detection system that can eliminate the need for professional staff and expensive and sophisticated equipment for field detection.

Type 2 Diabetes Mellitus (T2DM) is a chronic disease closely related to personal life style. Therefore, achieving effective self-management is one of the most important ways to control it. There is evidence that social support can help to improve the self-management ability of patients with T2DM, but which social support is more effective has been rarely explored. The purpose of this study is to construct an integrated model to analyze which social support has more significant impact on self-management of T2DM, and provide reasonable suggestions to health care providers on how to effectively play the role of social support.We established a social support indicator evaluation system and proposed an integrated model that combines ANP (Analytical Network Process) and CRITIC (CRiteria Importance through Intercriteria Correlation) methods to evaluate the impact of social support on T2DM self-management from both subjective and objective perspectives. The weights calculated by the model will serve as the basis for us to judge the importance of different social support indicators.Informational support (weighting 49.26%) is the most important criteria, followed by tangible support (weighting 39.24%) and emotional support (weighting 11.51%). Among 11 sub-criteria, guidance (weighting 23.05%) and feedback (weighting 14.68%) are two most relevant with T2DM self-management. This result provides ideas and evidence for health care providers on how to offer more effective social support.To our knowledge, this is the first study in which Multi-Criteria Decision Making (MCDM) tools, specifically ANP and CRITIC, are used to evaluate the impact of social support on improving self-management of type 2 diabetes. The study suggests that incorporating two sub-indicators of guidance and feedback into the diabetes care programs may have great potential to improve T2DM self-management and further control patient blood glucose and reduce complications.

Taxanes are the backbone cytotoxic agents that have been prescribed in most solid malignant treatments for decades. Taxane-induced peripheral neuropathy (PN) and drug resistance are inevitable. Novel taxanes include semisynthetic taxanes, taxane analogs, taxanes with a different drug-delivery method, taxanes without lipid carries, oral taxanes, taxanes with resistance to permeability glycoprotein (P-gp), and taxanes with easy penetration of the blood-brain barrier (BBB). Some taxanes have already shown promising activity in the clinic and have shown abilities to overcome the drug resistance commonly occurring with traditional taxane treatment. Predictive b for response to taxanes are being explored in order to offer precision medicine in cancer therapy. This review will focus on the history, current, and future directions of taxane development in breast cancer, especially that of novel taxanes such as oral taxanes. Clinical trials on novel taxanes, including the mature phase III trials of oral taxane and the recent setback, as well as the future direction of taxane research, will be discussed.

The mutation status of epidermal growth factor receptor (EGFR) is correlated with the response of tumors to EGFR tyrosine kinase inhibitors in non-small cell lung cancer (NSCLC), suggesting its usefulness as a biomarker in NSCLC. The incidence of EGFR mutation in NSCLC is higher in China than in the United States and European countries. There have been some case reports concerning cases of gefitinib-responsive small cell lung cancer (SCLC) with EGFR mutations. However, few large studies concerning the mutation status of SCLC patients have been performed. We detected EGFR mutations in exons 19 and 21 of 40 SCLC patients, three of whom had combined SCLC, from the Zhejiang Cancer Hospital using xTAG technology. Only two patients with combined SCLC had an EGFR mutation in exon 19. To determine the EGFR mutation status and clinical features of combined SCLC, we retrospectively analyzed the clinical features of seven patients with combined SCLC who had undergone surgical treatment in Zhejiang Cancer Hospital between 2007 and 2010. EGFR mutations in exons 19 and 21 were detected using the pyrosequencing assay. Of the seven patients with combined SCLCs, 71.4% were male, 71.4% were heavy smokers, most were over 60 years old and 71.4% of the cases were combined adenocarcinoma. Chemotherapy treatment and tumor stage were correlated with survival time. Of the seven cases, one had a mutation in exon 19 of EGFR in both the conventional SCLC and SCLC combined adenocarcinoma components. Combined SCLC commonly occurs in patients who are heavy smokers, male and over 60 years old, and most of the combined type cases are adenocarcinoma. The treatment of combined SCLC may be applied to cases of conventional SCLC. EGFR mutations may therefore occur in combined SCLCs, especially in SCLC combined adenocarcinoma in China.

Backgrounds Differentiation between benign and malignant diseases in EBV-positive patients poses a significant challenge due to the lack of efficient diagnostic tools. Metagenomic Next-Generation Sequencing (mNGS) is commonly used to identify pathogens of patients with fevers of unknown-origin (FUO). Recent studies have extended the application of Next-Generation Sequencing (NGS) in identifying tumors in body fluids and cerebrospinal fluids. In light of these, we conducted this study to develop and apply metagenomic methods to validate their role in identifying EBV-associated malignant disease. Methods We enrolled 29 patients with positive EBV results in the cohort of FUO in the Department of Infectious Diseases of Huashan Hospital affiliated with Fudan University from 2018 to 2019. Upon enrollment, these patients were grouped for benign diseases, CAEBV, and malignant diseases according to their final diagnosis, and CNV analysis was retrospectively performed in 2022 using samples from 2018 to 2019. Results Among the 29 patients. 16 of them were diagnosed with benign diseases, 3 patients were diagnosed with CAEBV and 10 patients were with malignant diseases. 29 blood samples from 29 patients were tested for mNGS. Among all 10 patients with malignant diagnosis, CNV analysis suggested neoplasms in 9 patients. Of all 19 patients with benign or CAEBV diagnosis, 2 patients showed abnormal CNV results. The sensitivity and specificity of CNV analysis for the identification for tumors were 90% and 89.5%, separately. Conclusions The application of mNGS could assist in the identification of microbial infection and malignancies in EBV-related diseases. Our results demonstrate that CNV detection through mNGS is faster compared to conventional oncology tests. Moreover, the convenient collection of peripheral blood samples adds to the advantages of this approach.

Electric vehicle charging stations (EVCSs) are essential for solving the energy consumption and endurance anxiety problems of car owners. EVCSs also promote sustainable development in urban economies without relying on fossil fuels. This research proposes a hybrid approach that integrates the Bayesian network with best-worst method (BN-BWM) and a geographical information system (GIS) to address the site selection problem for electric vehicles (EVs). BN-BWM is employed to address the indicator system, which consists of nine criteria from three aspects. BN-BWM calculates the final distribution of the total preference of all decision-makers. Then, a GIS is utilized for spatial analysis and superposition analysis to determine appropriate sites for charging stations (CSs). The novelty of this study lies in the development of a new decision-making method based on the combination of BN-BWM and a GIS. This method is not only more innovative but also highly operational and convincing regarding the accuracy of the weight results. This research provides feasible and reliable ideas for the site selection and construction of CSs. It can also help EV companies and government personnel carry out strategic planning. The study verified the applicability and effectiveness of the developed hybrid method in sixteen administrative regions in Beijing. According to the results, (1) an indicator system consisting of nine criteria is established, and roads, charging stations, and slopes are identified as the most sensitive criteria for site selection. (2) Three alternative stations (ASs) are identified as the most suitable sites for the establishment of CSs.

Predicting the remaining life of lithium-ion battery equipment is becoming increasingly important as enterprises transition to smart manufacturing. Accurate prediction results can be used to effectively determine the battery's health status and improve operational safety. However, during the decline process, lithium-ion battery capacity regeneration occurs, resulting in significant fluctuations in the degradation data that can easily lead to insufficient prediction accuracies. At the same time, a factor influencing the prediction results is the unification of modal information and insufficient feature extraction of the battery capacity data in the prediction process. Therefore, in this paper, a novel model based on variational modal decomposition and double broad learning (VMD-DBL) is proposed. First, we use VMD to perform adaptive decomposition of the degraded data to form intrinsic mode function (IMF) components and residual components to solve the data noise problem. Second, these two modal data of the feature extraction and modal fusion are inputted into the trained DBL model. Finally, the two modes are connected to the output layer to obtain the predicted result. The NASA dataset is used for experimental validation in this paper, and the results show that our proposed method outperforms other methods in terms of accuracy and feasibility.

To investigate the risk factors for diabetic ketoacidosis (DKA) in children/adolescents with type 1 diabetes mellitus (T1DM) and to establish a model for predicting the risk of DKA.A retrospective analysis was performed on 217 children/adolescents with T1DM who were admitted to General Hospital of Ningxia Medical University from January 2018 to December 2021. Among the 217 children/adolescents,169 cases with DKA were included as the DKA group and 48 cases without DKA were included as the non-DKA group. The risk factors for DKA in the children/adolescents with T1DM were analyzed, and a nomogram model was established for predicting the risk of DKA in children/adolescents with T1DM.For the 217 children/adolescents with T1DM, the incidence rate of DKA was 77.9% (169/217). The multivariate logistic regression analysis showed that high levels of random blood glucose, hemoglobin A1c (HbA1c), blood ketone body, and triglyceride on admission were closely associated with the development of DKA in the children/adolescents with T1DM (OR=1.156, 3.2031015, 20.131, and 9.519 respectively; P<0.05). The nomogram prediction model had a C-statistic of 0.95, with a mean absolute error of 0.004 between the risk of DKA predicted by the nomogram model and the actual risk of DKA, indicating that the model had a good overall prediction ability.High levels of random blood glucose, HbA1c, blood ketone body, and triglyceride on admission are closely associated with the development of DKA in children/adolescents with T1DM, and targeted intervention measures should be developed to reduce the risk of DKA.目的: 研究儿童青少年1型糖尿病（type 1 diabetes mellitus, T1DM）发生糖尿病酮症酸中毒（diabetic ketoacidosis, DKA）的危险因素，并建立DKA风险预测模型，以期降低该类患儿DKA的发生率，提高患儿生存质量。方法: 回顾性选择2018年1月2021年12月宁夏医科大学总医院收治的217例T1DM患儿，其中169例发生DKA患儿为DKA组，48例未发生DKA患儿为非DKA组。分析T1DM患儿发生DKA的危险因素，并建立预测T1DM患儿发生DKA风险的列线图模型。结果: 217例T1DM患儿中DKA发生率为77.9%（169/217）。多因素logistic回归分析显示，T1DM患儿入院随机血糖高、糖化血红蛋白高（hemoglobin A1c, HbA1c）、血酮高、甘油三酯高与发生DKA密切相关（分别OR=1.156、3.2031015、20.131、9.519，P<0.05）。列线图预测模型C-统计量为0.95，列线图模型预测T1DM患儿发生DKA的风险与实际发生DKA的风险平均绝对误差为0.004，说明模型整体预测能力较好。结论: 高入院随机血糖、高HbA1c、高血酮、高甘油三酯与儿童青少年T1DM发生DKA密切相关，应制定针对性干预措施，以降低T1DM发生DKA的风险。.

Studies on various thrombopoietic agents for cancer treatment-induced thrombocytopenia (CTIT) in China are lacking. This study aimed to provide detailed clinical profiles to understand the outcomes and safety of different CTIT treatment regimens.In this retrospective, cross-sectional study, 1664 questionnaires were collected from 33 hospitals between March 1 and July 1, 2021. Patients aged >18 years were enrolled who were diagnosed with CTIT and treated with recombinant interleukin 11 (rhIL-11), recombinant thrombopoietin (rhTPO), or a thrombopoietin receptor agonist (TPO-RA). The outcomes, compliance, and safety of different treatments were analyzed.Among the 1437 analyzable cases, most patients were treated with either rhTPO alone (49.3%) or rhIL-11 alone (27.0%). The most common combination regimen used was rhTPO and rhIL-11 (10.9%). Platelet transfusions were received by 117 cases (8.1%). In multivariate analysis, rhTPO was associated with a significantly lower proportion of platelet recovery, platelet transfusion, and hospitalization due to chemotherapy-induced thrombocytopenia (CIT) than rhIL-11 alone. No significant difference was observed in the time taken to achieve a platelet count of >100 × 109/L and chemotherapy dose reduction due to CIT among the different thrombopoietic agents. The outcomes of thrombocytopenia in 170 patients who received targeted therapy and/or immunotherapy are also summarized. The results show that the proportion of platelet recovery was similar among the different thrombopoietic agents. No new safety signals related to thrombopoietic agents were observed in this study. A higher proportion of physicians preferred to continue treatment with TPO-RA alone than with rhTPO and rhIL-11.This survey provides an overview of CTIT and the application of various thrombopoietic agents throughout China. Comparison of monotherapy with rhIL-11, rhTPO, and TPO-RA requires further randomized clinical trials. The appropriate application for thrombopoietic agents should depend on the pretreatment of platelets, treatment variables, and risk of bleeding.To provide an overview of the outcome of cancer treatment-induced thrombocytopenia in China, our cross-sectional study analyzed 1437 cases treated with different thrombopoietic agents. Most of the patients were treated with recombinant interleukin 11 (rhIL-11) and recombinant thrombopoietin (rhTPO). rhTPO was associated with a significantly lower proportion of platelet recovery and platelet transfusion compared with rhIL-11.

This special issue indirectly reflects the medical level and research hotspots of breast cancer experts in China in recent years as well as the treatment level and disease outcome of patients with breast cancer in China, allowing readers to appreciate the achievements made in the field of breast cancer in China in recent years and to identify the gaps in the international field.

Proteins containing domain of unknown function (DUF) are prevalent in eukaryotic genome. The DUF1216 proteins possess a conserved DUF1216 domain resembling to the mediator protein of Arabidopsis RNA polymerase II transcriptional subunit-like protein. The DUF1216 family are specifically existed in Brassicaceae , however, no comprehensive evolutionary analysis of DUF1216 genes have been performed. We performed a first comprehensive genome-wide analysis of DUF1216 proteins in Brassicaceae . Totally 284 DUF1216 genes were identified in 27 Brassicaceae species and classified into four subfamilies on the basis of phylogenetic analysis. The analysis of gene structure and conserved motifs revealed that DUF1216 genes within the same subfamily exhibited similar intron/exon patterns and motif composition. The majority members of DUF1216 genes contain a signal peptide in the N-terminal, and the ninth position of the signal peptide in most DUF1216 is cysteine. Synteny analysis revealed that segmental duplication is a major mechanism for expanding of DUF1216 genes in Brassica oleracea , Brassica juncea , Brassica napus , Lepidium meyneii , and Brassica carinata , while in Arabidopsis thaliana and Capsella rubella , tandem duplication plays a major role in the expansion of the DUF1216 gene family. The analysis of Ka/Ks (non-synonymous substitution rate/synonymous substitution rate) ratios for DUF1216 paralogous indicated that most of gene pairs underwent purifying selection. DUF1216 genes displayed a specifically high expression in reproductive tissues in most Brassicaceae species, while its expression in Brassica juncea was specifically high in root. Our studies offered new insights into the phylogenetic relationships, gene structures and expressional patterns of DUF1216 members in Brassicaceae , which provides a foundation for future functional analysis.

Prior studies have shown that earnings information of customer firms is value relevant to the investors of their suppliers, but it remains unclear whether sales information has similar effects. In this study, we investigate the value relevance of customer firms’ sales information to suppliers’ investors using a large sample of monthly sales disclosures from U.S. retailers. We find that within the narrow window of retailers’ monthly sales disclosures, suppliers’ abnormal stock returns are positively related to retailers’ sales growth in both same-store sales and store numbers. This finding suggests that sales information has spillover effects, or externalities, along the supply chain. We further conduct cross-sectional tests and find that the externalities of sales information vary with a supplier’s dependence on the retailer. We also develop a prediction model to separate the expected and unexpected components of retailers’ sales information and find that the unexpected component of sales growth is the primary source of externalities. Overall, this study provides new insights into the value relevance of sales disclosures.

e13159 Background: ARX788 has been proved with superior PFS compared with a combination of capecitabine and lapatinib in the randomized phase Ⅱ/Ⅲ study for HER2-positive ABC (Ambrx, 2023). Here we report the preliminary safety and efficacy of ARX788 plus toripalimab in HER2-low ABC and other HER2-expressing solid tumors. Methods: This was a phase Ⅰ study conducted in China. Eligible patients were HER2-low (IHC2+ and FISH- or IHC1+) ABC or HER2-expressing (IHC 2+ or 3+) solid tumors. Dose exploration with ARX788 is 1.3, 1.5mg/kg, IV, Q3W plus toripalimab 240mg, IV, Q3W. Primary endpoint was safety and RP2D of Ⅰa and efficacy of Ⅰb. Results: Totally, 12 patients were enrolled in phase Ⅰa, 10 patients were diagnosed with ABC, 1 was diagnosed with BTC and 1 was CRC. 6 patients each were treated with 1.3 and 1.5mg/kg. No DLTs were observed. 12 patients (100%) experienced ≥1 ADRs. The most common (≥20%) ADRs were AST increased (75%), platelet count decreased (75%), alopecia (41.67%), white blood cell count decreased (25%), ALT increased (25%), dry eye (25%), interstitial lung disease (25%) and neutrophil count decreased (25%). 1.5mg/kg dose level showed a slightly higher incidence in hematologic toxicities, interstitial lung disease and alopecia. Grade 3 ADRs occurred in 8 patients (66.67%) with equal incidence of the 2 dose levels, those were ocular events (41.7%, 2 of each level), interstitial lung disease (8.3%, 1 of 1.5mg/kg), platelet count decreased (8.3%, 1 of 1.5mg/kg), jaundice (8.3%, 1 of 1.3mg/kg) and immune-mediated myocarditis (8.3%, 1 of 1.3mg/kg). No grade 4 or 5 ADRs occurred. All ADRs were manageable and have recovered. ORR was 41.7% in 12 patients, with 33.3% and 50% in 1.3 and 1.5mg/kg dose level. In 10 patients with ABC, ORR was 50%, with 40% and 60% in each level. DCR was 83.33% and 100%, respectively. Thus, 1.5mg/kg was determined as RP2D and phase Ⅰb is ongoing with HER2-low ABC patients. Conclusions: ARX788 with 1.5mg/kg combined with toripalimab was shown acceptable safety profile with promising efficacy, no significant increase in adverse reactions or serious unexpected immune-related adverse reactions compared with ARX788 monotherapy, which supports further evaluation for HER2-low ABC in a larger sample in Ⅰb trial. Clinical trial information: CTR20222247.

Toxoplasma gondii, a protozoan intracellular parasite, is present in a wide range of hosts, including virtually all species of warm-blooded vertebrates. Toxoplasmosis spreads to humans through a variety of pathways, including contaminated food or water, and close contact with various types of domestic animals. It poses a severe threat to human health, and contributes to important economic losses, not only in cost-of-illness but also in surveillance programs. It is thus necessary to develop a rapid point-of-care field diagnostic technology to control or prevent pathogen transmission to economically important livestock animals, domestic animals, and human beings. In this study, we develop a real-time isothermal amplification method capable of detecting the T. gondii genome in swine and feline blood samples. This method can detect toxoplasma genome with a lowest detection limit of 102 copies of per reaction under optimal reaction conditions of 36 °C for 25 min. The assay displayed advantages in sensitivity and specificity in comparison to traditional real-time PCR, and can be performed in a portable instrument.

In recent years, China's coal mine safety accidents are frequently. Human factors are the main cause of coal mine safety accidents, and miners' unsafe behavior is one of the main forms of human factors. It is necessary to conduct in-depth study on the unsafe behavior of miners to ensure the safety of coal mine. In this study, the relationship between coal miners' subjective well-being and unsafe behavior was examined from the perspective of ordinary miners' well-being. And then the influencing factors of miners' unsafe behavior were analyzed. Two hundred miners were selected randomly for this study in Datong Coal Mine Group of Shanxi Province. Then, a questionnaire was completed by the 200 miners respectively, and a valid sample of 184 responses was collected. SPSS23.0 software was used to organize and analyze these data. The conclusions show that the hypotheses were all confirmed, and subjective well-being has a significant impact on miners' unsafe behavior, positive emotion has a negative influence on miners' unsafe behavior, negative emotion has a significant positive impact on miners' unsafe behavior, and life satisfaction has a significant negative relationship with miners' unsafe behavior. Thus, some countermeasures were put forward for coal mine managers to enhance miners' subjective well-being and reduce their unsafe behaviors.

To ensure efficient virus replication, herpes simplex virus type 1 (HSV-1) encodes several viral proteins to counter host defense response upon infection. Among these proteins, the multifunctional viral protein γ34.5 crucially interferes with or disrupts several antiviral pathways at multiple levels. The current study shows that γ34.5 utilizes nucleolar protein NOP53 to facilitate the dephosphorylation of eukaryotic initiation factor eIF2α for efficient viral translation. Our study shows that: (1) ectopic expression of NOP53 greatly increases the intracellular and extracellular viral yields of HSV-1 (wild strain F) in type I interferon-deficient Vero cells, and more subtly promotes viral replication of γ34.5 deletion mutant virus HSV-1/Δγ34.5. (2) NOP53 is migrated from nuclei in HSV-1/F infected cells, but is redistributed incompletely after infection by either HSV-1/Δγ34.5 or ICP4 deletion mutant virus HSV-1/d120 (replication inadequate). Ectopic expression of γ34.5, consequently, induces cytoplasmic translocation of NOP53 in response to HSV-1/Δγ34.5 infection. (3) Increase of NOP53, in two forms of transient transfection and in vitro expression, attenuates the phosphorylation level of eIF2α in HSV-1/F infected cells, but fails to affect eIF2α phosphorylation induced by HSV-1/Δγ34.5 infection. (4) Knockdown of NOP53, which impairs the specific interaction between γ34.5 and protein phosphatase PP1α, disrupts the ability of γ34.5 to maintain HSV-1 virulence. (5) NOP53 knockdown also significantly reduces tissue damage and decreases viral yield in livers of HSV-1 infected mice. Our findings expand the understanding of the underlying mechanism by which viral protein γ34.5 induces NOP53 redistribution; cytoplasmic NOP53 facilitates γ34.5 recruitment of PP1α to dephosphorylate eIF2α, for optimal viral replication. This paper also demonstrates that blocking the specific interaction between γ34.5 and PP1α would be a useful approach for the development of antiviral agents.

Tamoxifen is the most widely used adjuvant endocrine therapy for breast cancer. However, the pharmacogenetic effect of CYP2D6 on its efficacy remains unclear. Therefore, this study aimed to evaluate the association of CYP2D6*10 (c.100C>T) polymorphisms with clinical outcome in Chinese breast cancer patients. A total of 72 tamoxifen-treated early breast cancer patients were included in this study. CYP2D6*10 (c.100C>T) polymorphisms (C/C: wild type; T/T: homozygous mutant genotype T; C/T: heterozygote genotype C) were detected by pyrosequencing. The plasma concentrations of tamoxifen and its two major active metabolites were determined by liquid chromatography tandem mass spectrometry (LC-MS). Disease-free survival (DFS) and overall survival (OS) were assessed by Kaplan-Meier analysis, while the Cox proportional hazards model was used in multivariate tests for prognostic significance. We found that T/T carrier showed the lowest serum concentration of endoxifen as compared to C/C and C/T carriers (p<0.01). In the subgroup of patients below 40 years of age, T/T carriers appeared to have the shortest DFS and OS as compared to other genotype carriers (p<0.01). When genotypes (C/C, C/T and T/T carriers) and other clinical characteristics were adjusted, tumor size (>2 cm) and grades were independent prognostic factors for DFS but not OS (tumor size >2 cm: HR: 3.870, 95% CI: 1.045-14.330, P = 0.043; tumor grades: HR: 2.230, 95% CI: 1.090-4.562, P = 0.028). In conclusion, the T/T genotype is a negative prognostic factor in young breast cancer patients using tamoxifen. Tumor size (>2 cm) and grades are independent prognostic factors for DFS, when genotype of CYP2D6*10 (c.100C>T) is adjusted.

Appropriate location is an important prerequisite for the long-term survival and development of private medical institutions. However, in both theory and practice, the issue of location decision-making for private clinics has not been fully studied. We therefore aimed to provide a feasible scheme for the location of new private clinics. This paper combines the k-means clustering method and an integrated 2DULVs (two-dimensional uncertain language variables)-TOPSIS (technique for order preference by similarity to ideal solution)-DSCCR (Dempster-Shafer conjunctive combination rule) model to screen and evaluate all of the areas in the target region for an Internet medical company to set up offline clinics. We first created geographic grids using GIS and collected point of interest (POI) data. We then used the k-means clustering method to obtain 10 suitable grids as alternatives. Last, we established an evaluation index system and used the proposed model to rank them. The results show that grids 178, 179 and 202 are more suitable for the company to establish offline clinics in the expansion of business. The results of this study are also consistent with those of the other three fusion methods. This paper provides a beneficial attempt for private clinics to make location decisions and can be extended to the strategic decision-making of other industries or other issues.

Endocrine treatment plus CDK4/6 inhibitors have become standard of care for estrogen receptor positive (ER+) breast cancer. Although immune checkpoint inhibitors (ICIs) have shown promising antitumor activity in a variety of cancer types, only limited success has been achieved for metastatic breast cancer (mBC) patients, especially the ER+ subtype, which usually exhibit lower tumor mutation burden (TMB) compared with other subtypes and therefore perceived as immunologically quiescent. Here we present a case of an ER+/HER2- but TMB-high mBC patient who had significant response to combination therapy with anti-PD-1 antibody camrelizumab and vinorelbine and obtained partial response (PR) with a progression-free survival (PFS) of 5 months after failure of multiple lines of therapy. Our case indicates that TMB may serve as a potential biomarker in immunotherapy selection for normally immunologically "cold" tumors such as ER+ mBC, also molecular monitoring during the whole treatment course plays an important role in patient management.

As the autoclaving of a sugar together with other nutrient components enhances its degradation with the associated formation of toxic products, it is advisable to autoclave it separately from other medium components. In such cases, and to prepare growth media of consistent quality, it may also be necessary to adjust the duration of autoclaving according to the volume of the sugar solution. The results of an attempt to fine‐adjust the autoclaving procedure are presented. Glucose, used as model sugar in this investigation, was autoclaved for 20,32 or 44 min in volumes of 0.25. 1.2 and 5 1. The rise in temperature of the solutions was monitored by thermocouples. Glucose degradation was estimated by the rate of cyanide‐initiated oxygen consumption. The rates were found to be inversely proportional to the volumes in a semilogarithmic plot. The T‐t (temperature‐time) value, the area under the solution temperature vs time curve, was found to be an independent variable from which the extent of glucose degradation could be deduced. For a chosen level of thermodegradation of glucose, the duration of autoclaving for solutions of different volumes could be determined graphically from a T‐t value vs time plot.

Abstract The waveforms of lightning return‐stroke electromagnetic fields on ground are studied using the transmission line model. Approximate expressions to calculate lightning electromagnetic fields at near and far ranges are presented. It is found that the waveforms of lightning electric and magnetic fields in the time domain at both near and far ranges can be expressed approximately as the channel‐base current waveform multiplied by a factor which is a function of the return‐stroke speed v and the horizontal distance r between the return‐stroke channel and the observation point on ground. The ranges at which the approximate expressions are valid are determined. The ranges of validity increase with increasing the return‐stroke speed, and the near and far field approximate expressions converge to the exact formula as the return‐stroke speed approaches the speed of light.

The demand for energy supply has been increasing dramatically in recent years in the global. In addition, owing to the uncertain economic structure of the county, energy has a chaotic and nonlinear trend. In this paper, An improved grey G(1,1) prediction model is proposed to the energy management engineering. It is one approach that can be used to construct a model with limited samples to provide better forecasting advantage for long-term problems. The forecasting performance of the improved GM(1,1) model has been confirmed using the China's energy database. And the results, compared with those from artificial neural network (ANN) and times series. According to the experimental results, our proposed new method obviously can improve the prediction accuracy of the original grey model.

With the rapid development of new energy vehicles, China, as the largest producer, has achieved great success. However, weaknesses in the key technologies (KTs) have been exposed. Therefore, to aid China's new energy automobile market to further expand and to better understand the strengths and weaknesses of the current KTs, this paper investigates 20 of the new energy vehicle KTs in China and independently evaluates their performance at the technical level and their economic-social benefits. We first use uncertain linguistic variables to simulate an uncertain decision environment and more closely reflect the decision maker's thinking model; we then propose a weighting method that integrates subjective (Analytical Network Process) and objective (Entropy Weight Method) evaluations to rank the 20 KTs. Compared with conventional methods, the proposed model mitigates the adverse effects of uncertainty while providing a practicable approach that reflects the sentiments of area experts. The model is comprehensive, flexible, and easily applicable to other industries and markets.

With the continuous tension of the international energy supply and the increasing appeal of the global environmental protection, the development of the new energy vehicle industry has attracted international attention. In order to support the development of new energy automobile production, China has frequently issued support policies. However, the problem of subsidy fraud has been exposed. Therefore, in order to help the healthy development of China’s new energy automobile industry and reduce the risk of subsidy fraud, this paper investigates 15 representative new energy auto enterprises in China and independently evaluates their performance from three aspects. We first use triangular fuzzy numbers (TFNs) to simulate an uncertain decision environment and more closely reflect the decision maker’s thinking model; we then propose an analytic hierarchy process (AHP)-technique for order preference by similarity to an ideal solution (TOPSIS) method based on fuzzy data to rank 15 enterprises. Finally, according to the performance of enterprises, we propose differentiated subsidy policy recommendations. The model proposed in this paper takes into account the uncertainty of subjective evaluation so as to increase the credibility of the results. At the same time, the model can also be applied in other industries.

Porcine epidemic diarrhea virus (PEDV) of the family Coronaviridae has caused substantial economic losses in the swine husbandry industry. There's currently no specific drug available for treatment of coronaviruses or PEDV.In the current study, we use coronavirus PEDV as a model to study antiviral agents. Briefly, a fusion inhibitor tHR2, recombinant lentivirus-delivered shRNAs targeted to conserved M and N sequences, homoharringtonine (HHT), and hydroxychloroquine (HCQ) were surveyed for their antiviral effects.Treatment with HCQ at 50 μM and HHT at 150 nM reduced virus titer in TCID50 by 30 and 3.5 fold respectively, and the combination reduced virus titer in TCID50 by 200 fold.Our report demonstrates that the combination of HHT and HCQ exhibited higher antiviral activity than either HHT or HCQ exhibited. The information may contribute to the development of antiviral strategies effective in controlling PEDV infection.

Viral infection induces translocation of the nucleolar protein GLTSCR2 from the nucleus to the cytoplasm, resulting in attenuation of the type I interferon IFN-β. Addressing the role of GLTSCR2 in viral replication, we detect that knocking down GLTSCR2 by shRNAs results in significant suppression of viral replication in mammalian and chicken cells. Injection of chicken embryo with the GLTSCR2-specific shRNA-1370 simultaneously or 24 h prior to infection with Newcastle disease virus (NDV) substantially reduces viral replication in chicken embryo fibroblasts. Injection of shRNA-1370 into chicken embryo also reduces the replication of avian influenza virus (AIV). In contrast, GLTSCR2-derived protein G4-T, forming α-helical dimers, increases replication of seven various DNA and RNA viruses in cells. Our studies reveal that alteration of the function of cellular GLTSCR2 plays a role in supporting viral replication. GLTSCR2 should be seriously considered as a therapeutic target for developing broad spectrum antiviral agents to effectively control viral infection.

Driven by the transformation of the energy structure, China’s photovoltaic (PV) power generation industry has made remarkable achievements in recent years. However, there are more than 30 regions (cities/provinces) in China, and the economic, policy, technological, and the environmental conditions of each region are significantly different, which leads to a huge discrepancy in PV power generation efficiency. To address the imbalance in the development of PV industry, first, this paper employed the integrated fuzzy analytic hierarchy process–data envelopment analysis (FAHP–DEA) model to evaluate the PV power generation efficiency of 30 regions in China. Second, Tobit regression model was used to examine the effects of 9 potential influencing factors. Third, a concrete analysis was conducted, and discussion based on the efficiency rankings and regression results was made. Additionally, the FAHP–DEA model proposed in this study can also be applied to the efficiency evaluation issues of other types of renewable energy.

Background: Cardiotoxicity associated with the sequential use of anthracyclines followed by trastuzumab is common in adjuvant therapy of patients with HER2-positive early breast cancer (eBC). However, the cardiac safety of trastuzumab concurrent with pegylated liposomal doxorubicin (PLD) is relatively less studied. Method: Clinical data of patients with HER2-positive eBC treated with PLD and cyclophosphamide (PLD-C) followed by taxanes plus trastuzumab ± pertuzumab (TH or TPH) who then completed standard anti-HER2 treatment for 12 months from June 2012 to August 2021 were retrospectively collected. The primary endpoints were clinical and subclinical cardiotoxicity. Result: In total, 70 eligible patients were enrolled. Among them, 55 patients (78.6%) received PLD-C → TH and 15 patients (21.4%) received PLD-C → TPH. The median follow-up time was 41.8 months. Until August 2021, only two patients had recurrent or metastatic diseases, with 2-year and 5-year disease-free survivals of 98.6% and 96.8%, respectively. Clinical cardiotoxicity occurred in six patients (8.6%), and all of them had an absolute decline of ≥16% from baseline left ventricular ejection fraction (LVEF) but not below the lower limit of normal (LLN = 50%). Subclinical cardiotoxicity events occurred in 17 patients (24.3%), and all of them had absolute declines of ≥10% and &amp;lt;16% from baseline LVEF but not below the LLN. No patients were interrupted from treatment, and all patients completed anti-HER2 treatment for 12 months. The sharpest decrease in LVEF was observed at 18 months after the start of PLD treatment. The cumulative incidences of clinical and subclinical cardiotoxicity were 9.8% and 28.3%, respectively. In the univariate analysis, body mass index, age, left chest wall radiotherapy, and ongoing cardiovascular risk factors were not significantly associated with clinical or subclinical cardiotoxicity ( p &amp;gt; 0.05). No patients had congestive heart failure or death caused by PLD or anti-HER2 treatment. Conclusion: The sequential use of PLD and trastuzumab showed a lower incidence of clinical cardiotoxicity, presented as asymptomatic decreased LVEF, compared with the results obtained in previous clinical studies using conventional anthracycline, taxanes and trastuzumab. The study regimen demonstrated good cardiac tolerance and is an alternative strategy for cardioprotection in patients with HER2-positive eBC.

Carriers with BRCA1/2 germline pathogenic variants are associated with a high risk of breast and ovarian cancers (also pancreatic and prostate cancers). While the spectrum on germline BRCA mutations among the Chinese population shows ethnic specificity, the identification of carriers with germline BRCA mutation before cancer onset is the most effective approach to protect them. This review focused on the current status of BRCA1/2 screening, the surveillance and prevention measures, and discussed the issues and potential impact of BRCA1/2 population screening in China. We conducted literature research on databases PubMed and Google Scholar, as well as Chinese databases CNKI and Wangfang Med Online database (up to 31 March 2022). Latest publications on germline BRCA1/2 prevalence, spectrum, genetic screening as well as carrier counseling, surveillance and prevention were captured where available. While overall 15,256 records were retrieved, 72 publications using germline BRCA1/2 testing were finally retained for further analyses. Germline BRCA1/2 mutations are common in Chinese patients with hereditary breast, ovarian, prostate and pancreatic cancers. Within previous studies, a unique BRCA mutation spectrum in China was revealed. Next-generation sequencing panel was considered as the most common method for BRCA1/2 screening. Regular surveillance and preventive surgeries were tailored to carriers with mutated-BRCA1/2. We recommend that all Chinese diagnosed with breast, ovarian, pancreatic or prostate cancers and also healthy family members, shall undergo BRCA1/2 gene test to provide risk assessment. Subsequently, timely preventive measures for mutation carriers are recommended after authentic genetic counseling.

In an intelligent manufacturing context, the smooth operations of mechanical equipment in the production process of enterprises and timely fault diagnosis during operations have become increasingly important. However, the effect of traditional fault diagnosis depends on the feature extraction quality and experts’ empirical knowledge, which is inefficient and costly, and cannot match the needs of mechanical equipment fault diagnosis in intelligent manufacturing. The TSK fuzzy system has a strong approximation capability and the ability to interpret expert knowledge. The broad learning system (BLS) has strong feature extraction and fast computation capabilities. In this paper, we present a new model—the TSK fuzzy broad learning system (TSK-BLS). The model integrates the advantages of the BLS and the fuzzy system at the same time, which can be calculated quickly and accurately by pseudo-inverse and symmetry methods. On the other hand, the model is an embedded model-building mechanism, which extends the application scope of BLS theory. The model was tested on a bearing fault data set, provided by Case Western Reserve University, and the model’s fault diagnosis accuracy was as high as 0.9967. The results were compared with those of the convolutional neural network (CNN) and the BLS models, whose fault diagnosis accuracies are 0.6833 and 0.9133, respectively. Comparison showed that the proposed fault diagnosis model—TSK-BLS, achieved significant improvements.

Paramyxovirus might adopt a molecular mechanism of membrane fusion similar to that of other class I viruses in which the heptad repeat (HR) regions of fusion protein (F) HR1 and HR2 form a six-helix bundle structure inducing membrane fusion. In this study, we examined the structure and function of HR1 and HR2 from the avian paramyxovirus-2 (APMV-2) F protein. The study showed that APMV-2 HR1 and HR2 formed a stable six-helix bundle. Only a soluble APMV-2 HR2 peptide showed potent and specific virus-cell fusion inhibition activity. Cross-inhibiting activity with APMV-1 (Newcastle disease virus, NDV) was not found. A possible mechanism of membrane fusion inhibition by the paramyxovirus HR2 peptide is discussed.

A set of approximation expressions relating the lightning channel-base current and the lightning electric and magnetic fields on earth surface are proposed respectively in the near-zone and far-zone, by employing the transmission line (TL) model. The derived expressions show that, the electric and magnetic fields waveforms can be expressed approximately by the channel-base current waveform with different factors at a certain distances, whether in the near-zone or far-zone. The factors can be expressed in terms of the return stroke wavefront speed v, the speed of light c, and the horizontal distance r between the return-stroke channel and the observation point.

Abstract Background Though BRCA1 mutation is the most susceptible factor of breast cancer, its prognostic value is disputable. Here in this study, we use a novel method which based on whole-genome analysis to evaluate the chromosome instability (CIN) value and identified the potential relationship between CIN and prognosis of breast cancer patients with germline- BRCA1 mutation. Materials and methods Sanger sequencing or a 98-gene panel sequencing assay was used to screen for BRCA1 germline small mutations in 1151 breast cancer patients with high-risk factors. MLPA assay was employed to screen BRCA1 large genomic rearrangements in familial breast cancer patients with BRCA1 negative for small mutations. Thirty-two samples with unique BRCA1 germline mutation patterns were further subjected to CIN evaluation by LPWGS (low-pass whole-genome sequencing) technology. Results Firstly, 113 patients with germline BRCA1 mutations were screened from the cohort. Further CIN analysis by the LPWGS assay indicated that CIN was independent from the mutation location or type of BRCA1 . Patients with high CIN status had shorter disease-free survival rates (DFS) (HR = 6.54, 95% CI 1.30–32.98, P = 0.034). The TP53 copy loss was also characterized by LPWGS assay. The rates of TP53 copy loss in CIN high and CIN low groups were 85.71% (12/14) and 16.67% (3/18), respectively. Conclusion CIN-high is a prognostic factor correlated with shorter DFS and was independent with the germline BRCA1 mutation pattern. Higher CIN values were significantly correlated with TP53 copy loss in breast cancer patients with germline BRCA1 mutation. Our results revealed a reliable molecular parameter for distinguishing patients with poor prognosis from the BRCA1 -mutated breast cancer patients.

Reversion mutations are associated with clinical resistance to poly(ADP-ribose) polymerase inhibitors (PARPi). Here, we describe the detection of a BRCA1 reversion mutation in a 39-year-old woman with metastatic breast cancer harboring a heterozygous germline BRCA1 exons 7-8 deletion who received PARPi olaparib combined with immune checkpoint inhibitor camrelizumab as third-line therapy. During progression from the olaparib and camrelizumab combination therapy, we identified via genomic sequencing a novel 7-base pair somatic deletion in BRCA1 (c.617_623delACAAATC). Sequence analyses indicated that this mutation realigned the reading frame of BRCA1, which potentially led to the reversal of its normal function and conferred resistance to PARPi.

Abstract This paper constructs the background value of grey GM (1, 1) model by using Gaussian quadrature formula, improves its accuracy and the data quality. It indicates that reconstruction of the background value is the key factor affecting prediction accuracy and applicability.

Our previous study reported that both glycoproteins gB and gH of the herpesvirus Marek's disease virus (MDV) contain eleven potential heptad repeat domains. These domains overlap with α-helix-enriched hydrophobic regions, including the gH-derived HR1 (gHH1) and HR3 (gHH3) and gB-derived HR1 (gBH1) regions, which demonstrate effective antiviral activity, with 50% inhibitory concentrations (IC50) of less than 12 µM. Plaque formation and chicken embryo infection assays confirmed these results. In this study, biochemical and biophysical analyses detected potential interactions between these peptides. gHH1, gHH3, and gBH1 were found to interact with each other in pairs. The complex formed by gHH3 and gBH1 showed the most stable interaction at a molar ratio of 1:3, the binding between gHH1 and gBH1 was relatively weak, and no interaction was observed between the three HR peptides. These results indicate that gHH3 and gBH1 are likely the key contributors to the interaction between gB and gH. Furthermore, each HR peptide from herpesvirus glycoproteins did not effectively inhibit virus infection compared with peptides from a class I enveloped virus. In this report, the HR mimic peptide modified with a double glutamic acid (EE) or a double lysine (KK) at the non-interactive sites (i.e., solvent-accessible sites) did not noticeably affect the antiviral activity compared with the wild-type HR peptide, whereas tandem peptides from gH-derived gHH1 and gB-derived gBH1 (i.e., gBH1-Linker-gHH1) produced efficient antiviral effects, unlike the individual peptides. The proposed interpretation of inhibition of entry has been addressed. Our results support the hypothesis that the interaction domain between glycoproteins gH and gB is a critical target in the design of inhibitors of herpesvirus infection.

This paper used Gauss-Chebyshev formula to construct a new class of gray prediction model- GCGM (1,1) to overcome the lack of existed gray model and made accurate forecasting of electricity consumption for power engineering. A case study using the power engineering data of China is presented to demonstrate the effectiveness of our approach.

Viruses are obligate intracellular parasites that exploit host cell machineries for replication. In this review, we focus on the current understanding of host cell nuclear proteins whose translocation from the nucleus to cytoplasm is induced and utilized by viruses to support viral replication and infection. Utilization of nuclear proteins for viral replication and infection involves disruption of nuclear import, enhancement of nuclear export, removal of nuclear localization signal (NLS) from nuclear proteins and alteration of nuclear pore complexes (NPCs) to cooperatively support viral replication. Understanding of nucleo-cytoplasmic transport system, and associated mechanisms, utilized by viruses will advance therapeutic development of strategies to produce optimal antiviral agents effective in control of viral diseases.

Presentation of viral epitopes by swine MHC I (termed leukocyte antigen class I, SLA I) to cytotoxic T lymphocytes (CTLs) is crucial for swine immunity. The SLA-2 structure, however, remains largely unknown. To illustrate the structural basis of swine CTL epitope presentation, the crystal structure of SLA-2*04:02:02 complexed with one peptide, derived from foot-and-mouth disease virus (FMDV), was analyzed in this study. SLA-2*04:02:02 and swine β2-microglobulin (sβ2m) were refolded in vitro in the presence of peptides. X-ray diffraction data of SLA-2*04:02:02-peptide-sβ2m (referred to as p/SLA-2*04:02:02) were collected. The diffraction dataset was 2.3 Å in resolution and the space group was P3(2)21. Relevant data included a = 101.8 Å, b = 101.8 Å, c = 73.455 Å,α = 90.00°, β = 90.00°, γ = 120.00°. The structure of p/SLA-2*04:02:02 was analyzed. The results revealed that Glu24, Met68, Gly76, and Gln173 in PBG of SLA-2*04:02:02 are different from other MHC I. Furthermore, Asn63 is different from other SLA I. Gln57, Met174 and Gln180 in PBG of SLA I are different from other species' MHC I. All of these features are different from known mammalian peptide-MHC class I complexes (referred to as p/MHC I). In addition, P4-His, P6-Val, and P8-Pro in the peptide were exposed, and these residues as epitopes can be presented by SLA-2*04:02:02. This study not only provides a structural basis for peptide presentation by SLA-2, but also screens one potential FMDV CTL epitope. The results may be of interest in future vaccine development.

Abstract With the global spread of COVID-19 and the shortage of medical resources, the key to improve the quality of medical services is to solve the problem of hospital–patient matching. This paper constructs a two-sided matching (TSM) model based on the psychological perceptions of hospitals and patients to realize effective matching that maximizes the satisfaction of hospitals and patients. First, we determine the influencing factors of mutual choice between hospitals and patients through investigation and literature and establish a TSM evaluation system to obtain the preference order of hospitals and patients. Then, using disappointment theory, the preference order value is transformed into preference utility, and the preference utility of hospitals and patients is transformed into the perceived utility of hospital and patient satisfaction. Finally, under the constraint of stable matching, a multiobjective optimization model of TSM is established with the goal of maximizing the sum of the perceived utility of hospitals and patients. The optimal TSM results are obtained by solving the model, and an example is given to verify the practicability and effectiveness of the model. The results show that the stable bilateral satisfaction matching model considering the psychological factors of both sides can fully meet the expectations of hospitals and patients and has certain practical value.

We read with interest the study by Teng and colleagues reporting a high frequency (11.4 %) of epidermal growth factor receptor (EGFR)-activating mutations in triplenegative breast cancer (TNBC) in a Singapore cohort [1]. In a separate study, EGFR-activating mutations were detected in 7.7 % (1 out of 13) of Chinese basal-like breast cancers [2]. Interestingly, this frequency ranged from 0 to 3 % of other Asian and Caucasian patients [3, 4]. These results indicate that the frequency of these mutations may vary according to geographic and ethnic differences, as reported in non-small cell lung cancer, and these mutations appear to be limited mostly to Chinese patients with TNBC. In this study, in-depth characterization of these mutations in Chinese TNBC was attempted on retrospective archival tissues. Fifty freshly frozen specimens of TNBC from patients without neoadjuvant chemotherapy were randomly selected from Zhejiang Cancer Hospital, China, from 2010 to 2011. The specimens were confirmed to be estrogen receptor- and progesterone receptor-negative, and less than 1 % of tumor cells showed positive nuclear staining by an immunohistochemistry (IHC) assay. HER-2 negativity was defined as a score of 0 or 1+ by IHC assay or a HER-2 /chromosome 17 ratio of less than 2a nd fewer than 4 HER-2 copies per nucleus by a fluorescence in situ hybridization assay. Written consent was obtained from all participants. This study was approved by the Research and Ethics Committee of Zhejiang Cancer Hospital. Twenty-five EGFR-activating mutations (G719S, G719A, G719C, S768I, L858R, and L861Q and 19 mutations of exon 19-Del) were analyzed by an Amplification Refractory Mutation System (ARMS) assay by using an ADx EGFR29 Mutation Kit (Amoy Diagnostics, Xiamen, China). The ARMS assay is able to detect mutations with allele frequencies as low as 1 % [5]. Exons 18, 19, 20, and 21 were amplified by polymerase chain reaction assay, and all fragments were bidirectionally sequenced to screen for other mutations. None of the EGFR-activating mutations was found by these two assays, but four single-nucleotide polymorphisms (SNPs) were identified by the sequencing assay (Table 1). In silico prediction was performed to investigate the effect of the SNPs on gene splicing by using two programs: NNSplice 0.9 version (http://www.fruitfly.org/ seq_tools/splice.html) and Human Splicing Finder (http://www.umd.be/HSF3/). All four SNPs, particularly the c.2457G > A SNP, were predicted to alter splicing by one or both programs. In summary, none of the well-known EGFR-activating mutations was identified in our cohort. This suggests that TNBCs form a group of cancers with marked heterogeneity. Targetable mutations may be present and clinically helpful in only a limited number of Chinese patients with TNBC.

The supported nano- Bi 2 WO 6 – TiO 2 /nickel foam photocatalyst was synthesized via spraying method with silica sol as a binder. The as-prepared photocatalyst with large surface and thermal stability exhibited enhanced photocatalytic performance for degradation of Rhodamine B ( RhB ) solution in sunlight irradiation. The results showed that the RhB solution could be degraded to 71.6% within 60min, exhibiting that improved photocatalytic activity increased by 77.6%, compared with that of pure Bi 2 WO 6 – TiO 2 nanoparticles. Its high photocatalytic activity was due to the presence of nickel foam in the catalytic process, making the Bi 2 WO 6 – TiO 2 highly dispersed and increasing the contact area of the photocatalysts with the organic pollutants. At the same time, a possible photocatalytic mechanism for the enhanced photocatalytic performance was investigated.

Literature pertaining to the interactions between Marek's disease virus (MDV) entry-related glycoproteins and corresponding receptors is still limited. Results from a Western blot analysis of cellular proteins for virus receptors and co-immunoprecipitation suggest that heat shock protein 70 (HSP70) is a potential cellular receptor for MDV glycoprotein gH. Plaque inhibition assays confirm the involvement of HSP70 in the early stages of MDV entry into chicken embryo fibroblasts (CEF). The present work supports that HSP70 is implicated in the MDV entry process by binding to gH, and enhances the understanding of multifunctional HSP70 and the MDV infection process.

Air medical transport has gained increasing popularity in modern society. However, the global market of this industry has not been fully explored either in theory or in practice. This research assesses the medical aviation market and identifies the most suitable regions for a private air transport company to expand its business on a global scale. We combine the analytic hierarchy process (AHP) and the grey number (GN) theorem to analyse the potential foreign market. Compared with conventional methods, the proposed model mitigates the adverse effects of uncertainty while providing a practical approach that considers management’s subjective judgements. The integrated model is comprehensive and flexible for assessing the demand for air medical service in different parts of the world. In addition to the air jet service industry, the GN-AHP model can be generalised to evaluate many other markets and industries.

Newcastle disease virus (NDV) of paramyxovirus and Marek's disease virus (MDV) of herpesvirus, two of the most serious threats to the poultry industry, can give rise to complex co-infections that hinder diagnosis and prevention. In the current study, two different peptides, derived from the MDV gH (gHH2L) and gB (gBH3), respectively, exhibit antiviral activity against NDV in vitro. The potent inhibitory effect of heptad repeat 2 from fusion glycoprotein of the NDV on MDV infection also has been demonstrated. Plaque formation and embryo infectivity assays confirmed these antiviral results. Furthermore, each tandem peptide consisting of two motifs from different viruses exhibits more potent antiviral activity than the constituent peptides. The current work provides a new strategy for developing novel peptides and vaccines against virus infection and co-infections.

To evaluate the expressions of circulating angiogenic factors affected by pamidronic acid (PA) intravenous infusion in bone metastatic breast cancer patients and the impact on their prognosis.Peripheral blood of ten bone metastatic breast cancer patients was collected for serum insulin-like growth factor-1 (IGF-1) and platelet endothelial cell adhesion molecule-1 expression detection just before and 2 days after PA infusion.Both IGF-1 and platelet endothelial cell adhesion molecule-1 concentrations decreased after PA treatment for 48 hours (P<0.05). Modification was defined as >20% decrease recorded 2 days after PA administration. The decrease of IGF-1 was more significant in breast cancer patients who had received previous hormonotherapy. Moreover, the progression-free survival of first-line chemotherapy treatment of IGF-1 modified patients was longer than that of IGF-1 unmodified patients (P=0.009).PA treatment could suppress circulating serum IGF-1 and platelet endothelial cell adhesion molecule-1 concentrations; moreover, the prognosis of patients in IGF-1 unmodified group was relatively poor.

Invasive micropapillary carcinoma of the breast (IMPC) is a rare pathologic subtype of breast cancer. Since the differences in the pathological features of pure and mixed IMPCs are not fully understood, we aimed to investigate the difference in clinicopathological characteristics between localized pure and mixed IMPCs.A total of 121 localized IMPC cases were included. The clinicopathological features and survival estimates of the pure IMPC and mixed IMPC groups were compared. Targeted sequencing was performed to investigate the genomic profile of paired primary breast cancer and metastatic tissue samples from two pure IMPCs and four mixed IMPCs.Overall, 48 cases were pure IMPC and 73 were mixed IMPC. The pure group had a significantly higher proportion of Luminal B compared to the mixed group (37.5% vs. 15.1%). The pure group had a similar HER2 overexpression rate (31.2% vs. 32.9%) and mean age at diagnosis (51.0 vs. 50.2 years), compared with the mixed group. The pure group had a significantly higher proportion of stage IIIC cases compared with the mixed group (38.3% vs. 17.8%). We found no significant difference in the 3-year disease-free survival (DFS) between the two groups (83.7% vs. 80.0%), but the mixed group had a better overall survival (OS) compared with the pure group [HR =0.28 (0.091-0.868), P=0.047].We found that pure IMPC had a more aggressive behavior with locally advanced disease and a higher proportion of Luminal B than mixed IMPC. Mixed IMPC had a longer OS compared to pure IMPC, but there was no significant difference in the 3-year DFS between the two groups.

Subpixel object localization plays the key role to advance the precision of image measurement system. In this paper, the main idea of the subpixel algorithm and the imaging process as the physical background, is introduced first. Then various subpixel algorithms classified by their location object are analyzed. In the end of paper, the research and prospect of subpixel is proposed.

The compactness of plant chromosome and the structures of plant cell wall and cytoplasm pose a great resistance to fluorescence in situ hybridization (FISH), and consequently many new methods for improving spatial resolution are being exploited to overcome these problems. However, for plants with small chromosomes like rice and Brassica, there are still many difficulties. In this article a new and effective technique for preparation of extended DNA fibers (EDFs), using a series of treatments to prophase I chromosomes of Brassica oleracea PMCs, is presented. This technique allows longitudinal extension of the chromosomes 30-107 times longer than those of their metaphase counterparts. The length of the extended DNA fibers is between 89 microm and 273 microm, and the space resolution is 42.8-53.0 kb. Stretching ratios were assessed in a number of FISH experiments with super-stretched chromosomes from meiotic prophase I nuclei of B. olerecea. Through FISH to EDFs of pachytene chromosomes hybridized in situ with SRK (S-locus receptor kinase) and SPII (S-locus protein II) probes, for the first time we localized the accurate positions of S-locus and quantitatively analyzed the features of S genes in B. oleracea genome to show all S genes were single-copied. In addition, the length between two linked genes was measured to be about one micron. As a result, the highest space resolution which was about 4 kb was obtained.

We demonstrate an experimental setup for the production of a beam source of cold 87Rb atoms. The atoms are extracted from a trapped cold atomic cloud in an unbalanced three-dimensional magneto—optical trap. Via a radiation pressure difference generated by a specially designed leak tunnel along one trapping laser beam, the atoms are pushed out continuously with low velocities and a high flux. The most-probable velocity in the beam is varied from 9 m/s to 19 m/s by varying the detuning of the trapping laser beams in the magneto—optical trap and the flux can be tuned up to 4×109 s−1 by increasing the intensity of the trapping beams. We also present a simple model for describing the dependence of the beam performance on the magneto—optical trap trapping laser intensity and the detuning.

The construction of Smart Grid will comprehensively enhance the intelligent level of every step in the power grid of our country. The data forecasting ability determines the quality of smart grid. As a result of this, this paper constructs the background value of grey GM (1, 1) model by using threepoint Gaussian quadrature formula, improves its accuracy and the data quality. It indicates that reconstruction of the background value is the key factor affecting prediction accuracy and applicability.

Fifteen cytoplasmic male sterile materials in Brassica oleracea was identified by amplified special cytoplasmic male sterile associated gene,all of the CMS materials were crossed and backcrossed with different inbred-lines for several successive generations to investigated the morphology response of flower to nuclear background.The result showed that:Ogu CMS take up the most part in the materials investigatied.Fourteen materials of 15 belong to this class.Only No.78 belong to Nap CMS.The response of Nap CMS to different nuclear background showed three types.The first type was similar with original material or show negative response;The second type was positive response;The third type was complicated,varying with floret parts.The Ogu CMS materials either showed a weak positive response to nuclear background or keep unchanged comparing to original material.Morphology response of different source of Ogu CMS to the same nuclear background was varied with unclear background.The inbred-line K1,N4 have similar impact on different cytoplasmic male sterile,but 37,F1 and G7 have different effect on different sources of cytoplasmic male sterile in flower morphology.

The photovoltaic (PV) industry is an important developmental direction of the global new energy industry, and it is also a strategic emerging industry of China with an international competitive advantage. China’s PV industry has developed rapidly in recent years, and the new installed capacity of PV power generation has been ranked first in the world for 5 years. This achievement is inseparable from the support of national policy, especially the Feed-in Tariff (FIT) policy of solar PV power generation, which is a primary policy of the PV industry. This paper is a study of preference elicitation, whose goal was to identify the driving factors behind historical PV policy in China, according to the opinion of a panel of experts. On this basis, this paper proposes an integrated ANP-Entropy model to evaluate the FIT policy of China in three dimensions: environmental, energy, and economic (3E). Research results show that the environmental goal is still the most significant to the development of the PV industry in China, followed by the energy and economic goals, which account for 0.405, 0.358, and 0.237, respectively. Compared with the conventional studies on energy policy evaluations, this paper integrates subjective (Analytic Network Process) and objective (Entropy Weight Method) evaluations, which makes the evaluation results more reasonable and reliable. Additionally, the 3E evaluation index system and the ANP-Entropy model proposed in this paper are also applicable to the evaluation of other renewable energy policies.

ABSTRACT In clinical practice, some breast cancer (BC) patients carry a rare ERBB2 in-frame insertion (p. Pro780_Tyr781insGlySerPro) and are resistant to anti-ERBB2 therapy. To explore the potential procarcinogenic role of this ERBB2 mutation, we conducted the present study using BC cells overexpressing wild-type (WT) ERBB2 or P780-Y781 ERBB2 [mutated (MT)]. MDA-MB-231 and MCF-7 cells were transfected with the following plasmids using a lentivirus system: negative control (ERBB2-NC), WT ERBB2 overexpression (ERBB2-WT), and P780-Y781 ERBB2 overexpression (ERBB2-MT). P780-Y781 ERBB2 conferred significant resistance to lapatinib, as assessed by cell viability and colony counts. Analysis of the cell cycle showed that the P780-Y781 ERBB2 group showed an elevated proportion of cells in S, G2, and M phases compared with WT ERBB2 when exposed to lapatinib. Following lapatinib treatment, phosphorylated AKT (p-AKT) was strongly upregulated in the P780-Y781 ERBB2 group. Among ERBB2+ patients, the P780-Y781 ERBB2 group showed increased levels of p-AKT. Furthermore, the AKT inhibitor perifosine effectively suppressed lapatinib resistance, as indicated by the lapatinib inhibition curve and results of the colony formation assay, and decreased AKT phosphorylation. Altogether, we discovered a procarcinogenic mutation of ERBB2 that enhances BC cell growth through AKT signaling and causes resistance to lapatinib. Patients with this in-frame insertion mutation of ERBB2 should be recommended other therapeutic strategies apart from ERBB2 tyrosine kinase inhibitors, in particular lapatinib.

To investigate the prognostic value of DGM-CM6 (Distant Genetic Model-Clinical variable Model 6) for endocrine-responsive breast cancer (ERBC) patients, we analyzed 752 operable breast cancer patients treated in a Taiwan cancer center from 2005 to 2014. Among them, 490 ERBC patients (identified by the PAM50 or immunohistochemistry method) were classified by DGM-CM6 into low- and high-risk groups (cutoff <33 and ≥33, respectively). Significant differences were observed between the DGM-CM6 low- and high-risk groups for 10-year distant recurrence-free survival (DRFS) in both lymph node (LN)- (P < 0.05) and LN+ patients (P < 0.05). Multivariate analysis confirmed the independent strength of DGM-CM6 for the prediction of high- vs. low- risk groups for DRFS (P < 0.0001, HR: 6.76; 95% CI, 1.8-25.42) and overall survival (P = 0.01, HR: 6.06; 95% CI:1.55-23.47), respectively. In summary, DGM-CM6 may be used to classify low- and high-risk groups for 10-year distant recurrence in both LN- and LN+ ERBC patients in the Asian population. A large scale clinical trial is warranted.

tological types decreased from 17.26% in 1986 to 12.95% in 2002 [2].The stages of SCLC are usually categorized by the Veterans Administration Lung Study Group (VALSG) staging system [3], which classifies patients into limited-stage disease (LD) or extensive-stage disease (ED).The TNM staging system is also used for SCLC, especially for those Lung cancer is the major cause of cancer-related death worldwide.Although progress has been made in reducing its incidence and mortality rates and improving survival, cancer still accounts for more deaths than heart disease in people younger than 85 years old [1].The proportion of small cell lung cancer (SCLC) among all lung cancer his-

To research the repair effect of transplantation of glial cell line-derived neurotrophic factor (GDNF) modified olfactory ensheathing cells (OECs) combination with injecting axonal growth inhibiting protein antibody (IN-1) in vivo.To construct lentivirus vector with GDNF gene and infect OECs in vitro, use the immunoblotting (Western Blot) to observe the expression of GDNF was detected through Western Blot. Fifty adult female SD rats which to establish thoracic spinal cord transection injury model were randomly divided into A (control group), B (IN-1 antibody group), C (OECs group), D (GDNF-OECs group), and E (GDNF-OECs+IN-1 group) 5 groups of each 10 rats. To observe regeneration of the impaired nerve axon by NF200 immunohistochemistry, Biotinylated dextran amine (BDA) anterograde tracing corticospinal tract. Basso, Beattie and Bresnahan (BBB) score was used to evaluating hindlimb motor function recovery.Add up to 13 rats died post operation. OECs labeled by hoechst still survived and migrated in spinal cord 8 weeks post operation. Lots of confused and disorderly regenerated axons which crossing the injured region of spinal cord were displayed between spinal cord stumps in GDNF-OECs+IN-1 group and GDNF-OECs group; some of axons existed in OECs group, but there is no obviously continue nerve fibers crossing the injured region of spinal cord;in contrast to IN-1 and control groups, few of regenerated axons and atrophy of spinal cord stumps were observed. The results of BBB hindlimb motor rating scale were 7.70+/-0.24, 7.89+/-0.15, 10.50+/-0.25, 11.43+/-0.23 and 12.81+/-0.40 for the control group, IN-1 group, OECs group, GDNF-OECs group and the allied treatment group respectively.The transplantation of GDNF-OECs combination with IN-1 antibody may benefit the survival and regeneration of the injured axons, and accelerate the repair of the injured spinal cord and functional recover of hindlimb locomotor in rats in a more efficient way than that with OECs or IN-1 alone.

Forecasting electricity consumption is one of the most important challenges in electricity system planning. This paper presents an improved semi-parametric regression model using the Student distribution function of residual to replace the nonparametric component of the traditional semi-parametric model, thus eliminating the effects of the residual disturbance term. Compared with general linear models, the models make statistical inferences and can automatically regulate the boundary effect, which gives the forecast result a higher accuracy. A case study using data from China is presented to demonstrate the effectiveness of the approach.

Electric load is an important basis for operation and plan in power system.An accurate prediction of electric load will improve economy and reliability of power grid.Shortcomings of the traditional GM(1,1) model were aimed at,and the historical data by average weakening buffer operator(AWBO) was corrected according to prediction of electric load trend.The three times spline interpolation was used to rebuild the background value and form the improved GM(1,1) prediction model.The improved model overcome instability of traditional prediction model.Finally,the modeling procedure of the proposed model was proposed.In the experiment research,annual electric load data from 1980 to 2008 was analyzed.The experiment result was compared with traditional GM(1,1) model,support vector regression(SVR) model and artificial neural networks(ANN) model,and demonstrates the feasibility and validity of the proposed model.

Several studies have indicated possible associations between age and the prognosis of breast cancer (BC), but limited data are available from hospital-based multicenter studies in China. This study aimed to explore the associations between age at initial diagnosis of BC and the risk of recurrence or metastasis among Chinese women with newly diagnosed advanced breast cancer (ABC) and provide treatment decision support for BC patients of different ages to medical workers.The medical records of patients newly diagnosed with ABC were obtained from 21 hospitals in seven geographic regions in China from 2012 to 2014. Patients' general information, clinicopathological features at first diagnosis, treatment information, and prognosis were retrospectively collected based on the self-designed case report form (CRF). Cox proportional hazards regression models were used to determine hazard ratios (HR) and 95% confidence intervals (CI) for the associations between age groups and the risk of recurrence and metastasis.A total of 1,852 cases were included in the final analysis. Age at initial diagnosis was shown to be significantly related to hormone receptor status, human epidermal growth factor receptor 2 (HER2) status, molecular subtypes, and the number of lymph node metastasis (all P<0.05). Patients aged <35 years were more likely to have bone metastasis (45.6%). Patients aged ≥65 years had a lower percentage of receiving surgery (87.1%), adjuvant chemotherapy (61.3%), adjuvant radiotherapy (35.5%), and adjuvant endocrine therapy (30.6%) than the other groups (all P<0.05). Compared with patients aged <35 years, the risk of recurrence or metastasis in those aged 55-64 years was significantly higher (HRage 55-64 =1.24, 95% CI: 1.04-1.47), and the risk of bone metastasis and lung metastasis in those aged 35-44 years was lower (HRbone metastasis =0.74, 95% CI: 0.59-0.93; HRlung metastasis =0.70, 95% CI: 0.53-0.93). After adjusting for stage, grade, and molecular subtype, surgery, neoadjuvant chemotherapy, adjuvant chemotherapy, adjuvant radiotherapy, adjuvant endocrine therapy, and family history of BC, patients aged 35-44 years still had a significantly reduced risk of bone metastasis and lung metastasis by 31% and 52%, respectively (HRbone metastasis =0.69, 95% CI: 0.48-0.98; HRlung metastasis =0.48, 95% CI: 0.31-0.74).Age at initial diagnosis is related to the clinicopathological characteristics and treatment pattern. Although the risk of site-specific metastasis varies by age, age is not an independent factor influencing the risk of total recurrence and metastasis. In accordance with current clinical practice guidelines for BC, however, precise treatment shall be chosen personally for patients whose ages at initial diagnosis are different.

Abstract Gestational diabetes mellitus (GDM) is the most common disease in pregnancy and can cause a series of maternal and infant complications. A new study shows that GDM affects one in six deliveries. Identifying and screening for risk factors for GDM can effectively help intervene and improve the condition of women and their children. Therefore, the aim of this paper is to determine the risk factors for GDM and to use the ensemble learning method to judge whether pregnant women suffer from GDM more accurately. First, this study involves six commonly used machine learning algorithms to analyze the GDM data from the Tianchi competition, selects the risk factors according to the ranking of each model, and uses the Shapley additive interpreter method to determine the importance of the selected risk factors. Second, the combined weighting method was used to analyze and evaluate the risk factors for gestational diabetes and to determine a group of important factors. Lastly, a new integrated light gradient-boosting machine-extreme gradient boosting-gradient boosting tree (LightGBM-Xgboost-GB) learning method is proposed to determine whether pregnant women have gestational diabetes mellitus. We used the gray correlation degree to calculate the weight and used a genetic algorithm for optimization. In terms of prediction accuracy and comprehensive effects, the final model is better than the commonly used machine learning model. The ensemble learning model is comprehensive and flexible and can be used to determine whether pregnant women suffer from GDM. In addition to disease prediction, the model can also be extended for use to many other areas of research.

This paper has developed and characterized a method to produce a velocity-tunable 87Rb cold atomic source for atomic interferometry application. Using a high speed fluorescence imaging technology, it reports that the dynamic process of the atomic source formation is observed and the source performances including the flux and the initial velocity are characterized. A tunable atomic source with the initial velocity of 1.4∼2.6 m/s and the atomic source flux of 2 × 108 ∼ 6 × 109 atoms/s has been obtained with the built experimental setup.

NOP53 is a tumor suppressor protein located in the nucleolus and is translocated to the cytoplasm during infection by vesicular stomatitis virus (VSV) and herpes simplex virus type 1 (HSV-1), as shown in our previous study. Cytoplasmic NOP53 interacts with the retinoic acid-inducible gene I (RIG-I) to remove its K63-linked ubiquitination, leading to attenuation of type I interferon IFN-&beta;. In the present study, we found no obvious translocation of NOP53 in infection by a mutant virus lacking ICP4 (HSV-1/d120, replication inadequate). Blocking cytoplasmic translocation of NOP53 by the deletion of its nuclear export sequence (NES) abrogated its ability to support viral replication. These results demonstrated that NOP53 redistribution is related to viral replication. It is interesting that treatment with poly (I:C) or RIG-I-N (a constitutively-active variant) directly induced NOP53 cytoplasmic translocation. To better assess the function of cytoplasmic NOP53 in viral replication, the NOP53-derived protein N3-T, which contains a human immunodeficiency virus (HIV)-derived cell-penetrating Tat peptide at the C-terminal region of N3 (residues 330⁻432), was constructed and expressed. The recombinant N3-T protein formed trimers, attenuated the expression of IFN-&beta; and IFN-stimulated genes, as well as decreased the phosphorylation level of interferon regulatory factor 3 (IRF3). Furthermore, N3-T promoted the efficient replication of enveloped and non-enveloped DNA and RNA viruses belonging to 5 families. Our findings expand the understanding of the mechanism by which viruses utilize the nucleolar protein NOP53 for optimal viral replication.

Metastatic breast cancer (MBC) is the most life-threatening disease in women worldwide. HER2-mutated breast carcinoma has been reported to benefit from HER2-targeted tyrosine kinase inhibitors recently. Here, we presented a heavy pretreated and harbored HER2 V777L mutation de novo stage IV Luminal B (HER2 unamplified) breast cancer patient who achieved an unexpected good response to trastuzumab combined with vinorelbine therapy. Although HER2-unamplified MBC patients do not regularly benefit from anti-HER2 target therapy, HER2 V777L mutation detected by next-generation sequencing from ctDNA may present as a predictive biomarker for anti-HER2-based strategy therapy in HER2-negative MBC patients.

Abstract In China, Type 2 diabetes mellitus (T2DM) is increasingly affecting people's health. Although many risk factors related to T2DM have been researched, the association between social relationships and risk management of T2DM in China has not been fully researched. Therefore, we obtained 2,969 valid cases from the National Chinese Medicine Clinical Research Base‐Key Disease of Diabetes Mellitus Study to evaluate the role of social relationships in the risk management of T2DM. We first establish an indicators system of social relationship factors and then propose a comprehensive method that integrates subjective (analytical network process) and objective (entropy weight method) evaluations to rank the importance of the 17 social relationship factors that were the most important and commonly used. The results suggest that different social relationship factors have different effects on the risk management of T2DM. Patients and health workers should pay more attention to the high‐benefit factors and thus improve the efficiency of the risk management of T2DM. These findings provided theoretical support for patients and health workers by developing the positive effects of social relationships in improving the risk management of T2DM to the fullest degree.

This study was to investigate the efficacy and safety of fulvestrant 500 mg for the treatment of hormone receptor positive advanced postmenopausal women, including ovarian ablation and investigated factors associated with prolonged time-to-treatment failure.Data from 60 women with metastatic breast cancer who were treated at Zhejiang Cancer Hospital. Patients received 500 mg (n = 60) between December 2011 and November 2012 were followed until November 2017. Main outcomes were clinical responses to fulvestrant, including best response, progressive disease, partial response, and stable disease lasting 12 months or more. Time to progression and time to progression-free-survival were also analyzed.Among the included 60 patients (mean age 47.18 years), 51 (85.0%) had received prior adjuvant therapy. During follow-up after fulvestrant treatment, the median PFS for the best response was derived as 7.0 months (inter-quartile = 4, 13.8 months). The observed median progression-free-survival time for best response was represented longer when fulvestrant was first-line treatment than when patients received prior endocrine and/or chemotherapy. Univariate analysis revealed that receiving either endocrine therapy only or endocrine therapy plus chemotherapy prior to fulvestrant treatment may be associated with median progression-free survival time to best response (P = .002, .026, .007, respectively).Fulvestrant treatment is safe and well-tolerated in women with hormone-sensitive advanced breast cancer, and first-line fulvestrant therapy increases progression-free-survival time, especially in patients without prior adjuvant treatment.

A novel supramolecular compound 1 (C6H3) (CH2NH3)2+ (CH2NH2)]2· (β-Mo8O26)·3H2O was constructed under hydrothermal conditions by (NH4)6Mo7O24·4H2O and arylmethylamine cation L1. This compound 1 has been unambiguously characterized by PXRD, IR, and X-ray single crystal diffraction. What’ more, the compound 1 has features of adsorption and catalytic activity.

For a growing range of optical measurement task, like gap measurement in automotive industry, traditional triangulation sensors have several disadvantages due to the fact that the measurement result is dependent on the orientation of the sensor because of the non-rotational symmetry of the optics. Consequently a design method was proposed recently for a new class of rotationally symmetric triangulation sensors. Such designs can be realized with aspheric reflection optics and area detectors, such as CCD or CMOS. The optics of the sensor can be extended by an imaging optics which allows at the same time image capturing and distance measurement. In this paper we show the first prototype. This system is based on an optical system of one part manufactured by commercially available diamond turning. The layout of the optical system for distance measurement consists of two reflecting aspheric surfaces. The high precision algorithm for ring location was needed because the performance of the sensor is based on the detection of ring, especially the radius of the ring. In this paper, we try to give the different evaluation function for high precision location of ring. Then we used various methods to solve it and got optimized result. The comparison of algorithms for simulation was listed in the paper. And the measurement result for the real image got by the prototype was also presented. It seems the algorithm meets the precision demand of the sensor.

Recent studies on tomato bacterial wilt and resistance breeding in China, including pathogen identification, mechanisms of pathogen-plant interaction, methods of resistance identification, inheritance of resistance, and resistant variety breeding, were reviewed. Some questions and future studies were also discussed.

In recent years, with the development of society and the progress of science and technology, the GM (1, 1) model has been widely applied in economy, management, industry, control, social development plan, etc. But the GM (1, 1) model in the application process has encountered a low accuracy of predictions. Therefore, the improvement and optimization research of GM (1, 1) model is an important issue. In order to improve the prediction accuracy of GM (1, 1) model, it is necessary to consider reconstructing the background value of the model, which can improve the quality of the forecasting model. This paper discusses the improved GM (1, 1) model. The improved model has better prediction accuracy. It is used to forecast the society electricity consumption in eastern China, and the specific numerical examples demonstrate that this method can improve the simulation and the prediction accuracy.

ARC1 and EXO70A1 are important signal elements of self-incompatibility in Brassica. To characterize the interaction of ARC1-EXO70A1 during the course of self-incompatibility, the coding sequences of ARC1 and EXO70A1 were cloned from Brassica napus L. and B. oleracea L. var.acephala. Sequence analysis showed that ARC1 consisted of 663 amino acids in B. oleracea and 661 amino acids in B. napus, with a 45-amino-acid difference between them. Sequence alignment showed 95.9% similarity, with 93.9% exact match between BoARC1 and BnARC1. Only a 6-amino-acid difference was detected between BoEXO70A1 and BnEXO70A1, with 99.4% similarity and 98.9% exact match according to further sequence alignment. The homology between EXO70A1 alleles was higher than that between ARC1 alleles. Yeast 2-hybrid results indicated that a strong interaction existed between ARC1 and EXO70A1, which could activate the expressions of 4 reporter genes (ADE2, HIS3, AUR1-C, and MEL1) in diploid yeast. However, there was very weak interaction between EXO70A1 and a 316-C-terminal-deletion mutant of ARC1 (ARC1N), which only activated the expressions from 3 reporter genes (ADE2, AUR1-C, and MEL1). This indicated that the interaction interface between ARC1 and EXO70A1 might not reside within the Armadillo (ARM) repeat domains of ARC1. The N-terminal domains of ARC1 play an essential role in the interaction of ARC1 with EXO70A1. The influence of the differences in amino-acid composition between BoARC1 and BnARC1 on the interaction between ARC1-EXO70A1 was not detected with a yeast 2-hybrid system, which may indicate that the binding interface between ARC1 and EXO70A1 was not altered by sequence differences between the 2 proteins in these Brassica species.

A simplified model of transformer is set up to research the influence of acid value on recovery voltage parameters. 25# transformer oil and ordinary cellulose paper are used as oil-paper composite insulation in aging experiment and results show that,the relationship between the acid value of insulating paper and the aging time is a linear function while that between the acid value of transformer oil and the aging time is an exponential function;along with the increase of insulating paper acid value,the maximum recovery voltage increases linearly,the central time constant decreases exponentially and the initial slope increases exponentially.

To investigate the expression of multidrug resistance (MDR) gene-associated proteins (MRP) in gastric carcinoma, and their effects on the postoperative adjuvant chemotherapy and the prognosis of patients.The expressions of ToPo II, MRP, GST-pi in 99 patients with gastric carcinoma were detected by immunohistochemistry. The expression and its relationship to the pathological data were analyzed. The positive expression of MRP and GST-pi, and the negative expression of ToPo II were considered as risk factors. Patients were divided into two groups: a high risk drug-resistant group (2-3 risk factors) and the low risk drug-resistant group (0-1 risk factors). Postoperative recurrence, survival rate, and efficacy of adjuvant chemotherapy were compared between two groups.The positive rate of ToPo II was 74.7%, and the expression was associated with types and differentiation of the tumor. The positive rate of GST-pi was 49.5%, and the expression was related to the gender and the differentiation. The positive rate of MRP was 40.4%, and there was no relationship between the MRP expression and the pathological finding. There were no significant differences in the recurrence, time to recurrence, and the 5-year survival rate between the positive and negative group of the three proteins (P>0.05). Recurrence was found in 25 cases(55.6%) in the high risk drug-resistant group and the mean time to recurrence was (15.2+/-8.1) months. The time to recurrence was shorter in the low risk drug-resistant group [(21.3+/-11.1) months, P<0.05] , but there was no significant difference in the recurrence rate between two groups (P>0.05). The 5-year survival rate of the high risk drug-resistant group and the low risk drug-resistant group was 44.4% and 55.6% (P>0.05). The 5-year survival rates of patients with or without chemotherapy in the high risk drug-resistant group were 45.8% and 42.9% (P>0.05). The 5-year survival rates of patients with or without chemotherapy in the low risk drug-resistant group were 70.4% and 40.7%. The survival rate of patients with chemotherapy was higher than that of the patients without chemotherapy (P<0.05).The expression of ToPo II, MRP and GST-pi is associated with the efficacy of postoperative adjuvant chemotherapy. Chemotherapy appears to be more beneficial to patients with low risk drug-resistance.

Via slow evaporation approach a series of organic cations as template agent were selected and introduced to self-assemble with metal pseudohalide to obtain 4 novel organic–inorganic hybrid supramolecules named {[O-CN] [Cu2(SCN)4] ·DMF }n (1), {[M−CN][Cu2(SCN)4]}n (2), {[P-CN][Cu2(SCN)4]}n (3), [ Multi-CN]0.5[Cu2(SCN)4]}n (4), (O-CN/ M−CN/ P-CN = α, α'-Bis (4-cyano-l-pyridino)-o/m/p-xylene, Multi-CN = 1, 2, 4, 5-four [(4-cyanopyridyl)-N-methylene] benzene). Structure analysis shows that compounds 1–4 are two-dimensional polypseudorotaxane structure. Their photocatalytic properties were explored and the results showed that complexes 1–3 exhibited high efficiency in degradation methylene blue and methyl orange under ultraviolet light.

Abstract Background: NTRK gene fusions involving either NTRK1, NTRK2 or NTRK3 are oncogenic drivers of various solid tumor types but generally at a low frequency. TRK inhibitors such as LOXO-101, entrectinib, X396, AB-106, TL118 had remarkable and durable antitumor activities in patients (pts) with TRK fusion-positive cancers, regardless of age or tumor type. We assessed the frequency of NTRK fusions across 14, 491 advanced cancers to reveal the landscape in a wide variety of subtypes. Methods: A multicenter study in China was initiated from July 2013, and advanced cancer patients have been enrolled as of September 2018. We analyzed data from 14, 491 clinical advanced cancer cases, each of which had results from next-generation sequencing (NGS)-based 381 genes panel assay, analogous to the index patient. Results: Of this entire cohort [6837 lung cancer (47.18%), 1894 breast cancer (13.07%), 1325 colorectal cancer (9.14%), 312 soft tissue sarcoma (2.15%), 260 head and neck cancer (1.79%) and 1804 others (12.45%)], 40 patients were identified with NTRK fusions, including TPM3-NTRK1, LMNA-NTRK1, IRF2BP2-NTRK1, TPR-NTRK1, SQSTM1-NTRK1, C1orf111-NTRK1, NTRK1-CUL3, LIPI-NTRK1, NTRK1-C1orf61, TARDBP-NTRK1, LOC643387-NTRK1, NFASC-NTRK1, RFWD2-NTRK1, MSN-NTRK2, ATL2-NTRK2, AGTPBP1-NTRK2, ZCCHC7-NTRK2, CALR-NTRK2, ESRP1-NTRK2, ETV6-NTRK3. NTRK fusions were seen in 0.26% (18/6837) of lung cancer [C1orf111-NTRK1+TPM3-NTRK1(1), TPR-NTRK1(1), TPM3-NTRK1(2), SQSTM1-NTRK1+NTRK1-CUL3(1), LIPI-NTRK1(1), NTRK1-C1orf61(1), LMNA-NTRK1(1), MSN-NTRK2(1), TARDBP-NTRK1+LOC643387-NTRK1(1), IRF2BP2-NTRK1(1), ATL2-NTRK2 (1), NFASC-NTRK1(1), AGTPBP1-NTRK2(1), RFWD2-NTRK1(1), ZCCHC7-NTRK2(1), CALR-NTRK2(1) and ESRP1-NTRK2]; 0.21%(4/1894) of breast cancer [ETV6-NTRK3(4)]; 0.37%(5/1325) of colorectal cancer [TPM3-NTRK1(1), ETV6-NTRK3(4)]; 3.53%(11/312) of soft tissue sarcoma [LMNA-NTRK1(3), TPM3-NTRK1(1), ETV6-NTRK3(7)]; 0.38%(1/260) of head and neck cancer [ETV6-NTRK3(1)] and 0.05%(1/1804) of others [ETV6-NTRK3(1)]. Conclusion: NTRK fusions are a rare molecular subtype in Chinese solid tumors. The NTRK gene fusions more commonly occurred in NSCLC (0.3%), CRC (0.4%) and BC (0.2%), and may occur without other targetable alterations such as EGFR, ALK, ROS1. The clinical evidence for responsiveness of NTRK fusions driven solid tumors provides an opportunity to personalize treatments and improve clinical outcomes for patients (pts). Citation Format: Wen-xian Wang, Chun-wei Xu, Lei Lei, Xiao-jia Wang, You-cai Zhu, Yong Fang, Xiu-yu Cai, Rong-bo Lin, Li Lin, Hong Wang, Mei-yu Fang, Yin-bin Zhang, Shi-jie Lan, Xin Cai, Xin Liu, Xing-xiang Pu, Zong-yang Yu, Bing Wan, Jin-luan Li, Xian-bin Liang, Li-ping Wang, Wu Zhuang, Zi-yan Yang, Gang Chen, Tang-feng Lv, Yong Song. Large-scale study of NTRK fusions in Chinese solid tumors and using next generation sequencing: A multicenter study [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 38.

Nursing work is an integral part of hospital work. Under the challenge of the COVID-19 epidemic, it is particularly important to establish a timely and efficient nursing management system. The nursing department of our hospital used the theory and method of feedforward control to formulate the emergency plan for epidemic prevention and control and to conduct drills. The plan includes the establishment of the emergency management system for epidemic nursing and key prevention and control positions, rational allocation of human resources, and strengthening personnel training, so as to ensure the efficient operation of nursing epidemic prevention and control work and provide a reference for nursing management mode during the epidemic.

The continuation of human civilization must ensure that the Olympic Games can be held stably to maximize the world's benefits. The paper combines normalization and cluster analysis to establish an evaluation model of countries suitable for hosting the Olympic Games. Then we keep data convergence to develop an accurate evaluation scheme based on the entropy method and hierarchical analysis. The countries currently capable of stably hosting the Olympic Games were the United States, China, and Japan. The change of each index over time was predicted based on the cubic smoothing index. We anticipate the countries capable of hosting the Olympic Games after the next ten years in additional countries, such as the United Kingdom, South Korea, Mexico, etc. The political factors are simplified into functions according to the geographical location of the countries respectively. We predict the new countries that will be able to host the Olympic Games in the next twenty years, such as Switzerland, Austria, etc.

Abstract Purpose: Anaplastic thyroid carcinoma (ATC) has high invasiveness, poor clinical prognosis, and high mortality rates. The article aimed to pinpoint the treatment characteristics of ATC. Method: A retrospective analysis was conducted on 61 patients diagnosed with ATC at our institution from March 1, 2003 to September 30, 2022. All of them were diagnosed pathologically and their information regarding clinicopathologic characteristics, treatment strategy, and follow-up events was collected. The Kaplan-Meier method was used for survival analysis. Then, the Cox proportional hazards model was used to calculate the univariate and multivariate analyses. Result: The study included 61 patients with ATC, ranging from 34 to 85 years old, with a median age of 66 in ATC. Half of (30/61, 49.2%) these patients’ tumor size was larger than 5cm. At the first prognosis, about 43/61 (70.5%) ATC patients accompanied acute symptomatic. 37 (60.7%) patients received chemotherapy, 11 (18%) patients treated with targeted therapy, and 9 (14.8%) ATC patients received immunotherapy. Surgery combines with chemotherapy could improve overall survival in ATC (P=0.003). 9 ATC patients who received targeted therapy based on surgery were able to increase their overall survival (P=0.025). Immunotherapy based on surgery was administered to 9 patients with ATC, statistical analysis also indicated beneficial (P=0.004). Conclusion: Patients with ATC can be benefited from a systematic regimen and immunotherapy may be a new therapeutic direction. The multimodality pattern of ATC with the aid of biomarkers warrants exploration.

The effects of air pollution and meteorology on asthma is less studied in North China Plain. In the last decade, air quality in this region is markedly mitigated. This study compared the short-term effects of air pollutants on daily asthma outpatient visits (AOV) within different sex and age groups from 2014 to 2016 and 2017-2019 in Tianjin, with the application of distributed lag nonlinear model. Moreover, relative humidity (RH) and temperature as well as the synergistic impact with air pollutants were assessed. Air pollutants-associated risk with linear (different reference values were used) and non-linear assumptions were compared. In 2014-2016, PM10 and PM2.5 exhibited a larger impact on AOV, with the corresponding cumulative excess risks (ER) for every 10 μg/m3 increase at 1.04 % (95%CI:0.67-1.40 %, similarly hereafter) and 0.79 % (0.35-1.23 %), as well as increased to 43 % (26-63 %) and 20 % (10-31 %) at severe pollution. In 2017-2019, NO2 and MDA8 O3 exhibited a larger impact on AOV, with a cumulative ER for every 10 μg/m3 increase at 1.0 (0.63-1.4 %) and 0.36 % (0.15-0.57 %), with corresponding values of 7.9 % (4.8-11 %) and 5.6 % (2.3-9.0 %), at severe pollution. SO2 associated risk was only significant from 2014 to 2016. Cold effect, including extremely low temperature exposure and sharp temperature drop could generate a pronounced increase in AOV at 9.6 % (3.8-16 %) and 24 % (9.1-41 %), respectively. Moderate low temperature combined with air pollutants can enhance AOV during winter. Higher temperature in spring and autumn could trigger asthma by increasing pollen levels. Low RH resulted in AOV increase by 4.6 % (2.4-6.9), while higher RH generated AOV increase by 3.4 % (1.6-5.3). Females, children, and older adults tended to have a higher risk for air pollution, non-optimum temperature, and RH. As air pollution-associated risks on AOV tends to be weaker due to air quality improvement in recent years, the impact of extreme meteorological condition amidst climate change on asthma visits warrants further attention.

Purpose The elderly service industry is emerging in China. The Chinese government introduced a series of policies to guide elderly service enterprises to improve their service quality. This study explores novel differentiated subsidy strategies that not only promote the improvement of service quality in elderly service enterprises but also alleviate the financial burden on the government. Design/methodology/approach Evolutionary game and Hotelling models are employed to investigate this issue. First, a Hotelling model that considers consumer word-of-mouth preferences is established. Subsequently, an evolutionary game model between local governments and enterprises is constructed, and the evolutionary stable strategies of both parties are analyzed. Finally, simulation experiments are conducted. Findings The findings indicate that local government decisions have a significant influence on the behavior of elderly service enterprises. Increasing the proportion of local governments opting for subsidy strategies helps incentivize elderly service enterprises to improve their service quality. Furthermore, providing differentiated subsidies based on the preferences of the customer base of elderly service enterprises can encourage service quality improvement while reducing government expenditure. The findings offer valuable insights into the design of government subsidy policies. Originality/value Compared with previous research, this study examines the role of consumer preferences in a differentiated subsidy policy. This enriches the authors’ understanding of the field by incorporating neglected aspects of consumer preferences in the context of the emerging elderly service industry.

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.