Yuheng Li

The paper aims to comprehensively analyze key issues of current land use in China. It identifies the major land-use problems when China is undergoing rapid urbanization. Then, the paper interprets and assesses the related land-use policies: requisition-compensation balance of arable land, increasing vs. decreasing balance of urban-rural built land, reserved land system within land requisition, rural land consolidation and economical and intensive land use. The paper finds that current policies are targeting specific problems while being implemented in parallel. There is lacking a framework that incorporates all the policies. The paper finally indicates the current land-use challenges and proposes strategic land-use policy system to guide sustainable land use in the future.

A rural revival is needed to counter urbanization across the globe, say Yansui Liu and Yuheng Li.

Rural decline is an inevitable process as human society transforms from the agrarian to the urban-industrial economy, and further on to the knowledge economy. Through an extensive literature review, this paper aims to interpret why some rural areas decline while some others do not. The findings show that it is by the interactions between rural areas and the external environment that rural communities either grow, decline or even vanish. The paper emphasizes the necessity to improve rural communities' resilient capacity through adjusting their internal components' function and structure to survive the external changes. In this process, rural livelihood diversification, the creation of market oriented institutions and strong social capital are considered to enhance rural resilience and build up sustaining rural communities. Finally, three conditions for sustainable rural development in the knowledge economy are discussed: 1) development of new economic activities that can respond to potential urban demand; 2) local entrepreneurship that can establish and expand these new activities; and 3) social capital that can support the entrepreneurship in new activities with access to credits, labor, human capital, external markets and external knowledge for learning and innovation.

China's rapid urbanization growth during the past decades which has highly promoted its affluence has induced various challenges for the countryside. The problem of rural decline of quite many villages which are suffering depopulation in turn challenges the urbanization sustainability in China. By way of in-depth historical and literature review, the paper finds distorted urban-rural relationship and the tendency of village decline owing to China's long time urban biased policy. By further investigating China's new-type urbanization strategy, the paper draws concerns about future rural development which is less mentioned in the plan. It calls for ruralization and actions to revitalize the countryside so as to be adapted to China's new-type urbanization plan.

Mechanical load of the skeleton system is essential for the development, growth, and maintenance of bone. However, the molecular mechanism by which mechanical stimuli are converted into osteogenesis and bone formation remains unclear. Here we report that Piezo1, a bona fide mechanotransducer that is critical for various biological processes, plays a critical role in bone formation. Knockout of Piezo1 in osteoblast lineage cells disrupts the osteogenesis of osteoblasts and severely impairs bone structure and strength. Bone loss that is induced by mechanical unloading is blunted in knockout mice. Intriguingly, simulated microgravity treatment reduced the function of osteoblasts by suppressing the expression of Piezo1. Furthermore, osteoporosis patients show reduced expression of Piezo1, which is closely correlated with osteoblast dysfunction. These data collectively suggest that Piezo1 functions as a key mechanotransducer for conferring mechanosensitivity to osteoblasts and determining mechanical-load-dependent bone formation, and represents a novel therapeutic target for treating osteoporosis or mechanical unloading-induced severe bone loss.

MicroRNAs have an important role in bone homeostasis. However, the detailed mechanism of microRNA-mediated intercellular communication between bone cells remains elusive. Here, we report that osteoclasts secrete microRNA-enriched exosomes, by which miR-214 is transferred into osteoblasts to inhibit their function. In a coculture system, inhibition of exosome formation and secretion prevented miR-214 transportation. Exosomes specifically recognized osteoblasts through the interaction between ephrinA2 and EphA2. In osteoclast-specific miR-214 transgenic mice, exosomes were secreted into the serum, and miR-214 and ephrinA2 levels were elevated. Therefore, these exosomes have an inhibitory role in osteoblast activity. miR-214 and ephrinA2 levels in serum exosomes from osteoporotic patients and mice were upregulated substantially. These exosomes may significantly inhibit osteoblast activity. Inhibition of exosome secretion via Rab27a small interfering RNA prevented ovariectomized-induced osteoblast dysfunction in vivo. Taken together, these findings suggest that exosome-mediated transfer of microRNA plays an important role in the regulation of osteoblast activity. Circulating miR-214 in exosomes not only represents a biomarker for bone loss but could selectively regulate osteoblast function.

The dual land system restricts the sustainable development of rural China which undergoes rapid depopulation and abandoned and inefficiently used land. The viewpoint paper reviews the typical rural land system and reflects the land consolidation project in a village community of Shandong Province. It indicates that land consolidation is needed to coordinate and improve the changing human-land relationship in rural China. Certain policy terms and stipulations could be set to encourage the transfer of peasant's land operation right and promote scale land operation. And, an expanded rural land market is needed to enhance the value of peasants’ residential land to reverse village hollowing problem. Finally, the paper highlights that rural land consolidation is a systematic project and should be implemented by respecting local stakeholders’ willingness and request.

microRNA is necessary for osteoclast differentiation, function and survival. It has been reported that miR-199/214 cluster plays important roles in vertebrate skeletal development and miR-214 inhibits osteoblast function by targeting ATF4. Here, we show that miR-214 is up-regulated during osteoclastogenesis from bone marrow monocytes (BMMs) with macrophage colony stimulating factor (M-CSF) and receptor activator of nuclear factor-κB ligand (RANKL) induction, which indicates that miR-214 plays a critical role in osteoclast differentiation. Overexpression of miR-214 in BMMs promotes osteoclastogenesis, whereas inhibition of miR-214 attenuates it. We further find that miR-214 functions through PI3K/Akt pathway by targeting phosphatase and tensin homolog (Pten). In vivo, osteoclast specific miR-214 transgenic mice (OC-TG214) exhibit down-regulated Pten levels, increased osteoclast activity, and reduced bone mineral density. These results reveal a crucial role of miR-214 in the differentiation of osteoclasts, which will provide a potential therapeutic target for osteoporosis.

It is necessary for rural communities to meet conditions of decline, including depopulation, with effective strategies for rural revival and revitalisation. Based on Hirschman’s ‘exit-voice’ theory, this paper investigates the way in which local stakeholders respond to processes of rural depopulation. Case studies undertaken in Xiaoguan village in China and in Åre in Sweden reveal the effectiveness of bottom-up revitalization initiatives in combating rural decline. We show how local stakeholders’ strong “voices” in these places—which called for improved living conditions and increased job opportunities—held people and groups together, encouraging them to work together with shared values and attitude. The strong leadership demonstrated either by local committees or in stakeholders’ self-organized actions played an important role in carrying out revitalisation initiatives. We highlight the importance of not only reviving economies but also creating desirable rural lifestyles. Our findings also emphasize the need for bottom-up initiatives to align with government policy and regional development plans.

Rationale: Breast cancer preferentially develops osteolytic bone metastasis, which makes patients suffer from pain, fractures and spinal cord compression. Accumulating evidences have shown that exosomes play an irreplaceable role in pre-metastatic niche formation as a communication messenger. However, the function of exosomes secreted by breast cancer cells remains incompletely understood in bone metastasis of breast cancer. Methods: Mouse xenograft models and intravenous injection of exosomes were applied for analyzing the role of breast cancer cell-derived exosomes in vivo. Effects of exosomes secreted by the mildly metastatic MDA231 and its subline SCP28 with highly metastatic ability on osteoclasts formation were confirmed by TRAP staining, ELISA, microcomputed tomography, histomorphometric analyses, and pit formation assay. The candidate exosomal miRNAs for promoting osteoclastogenesis were globally screened by RNA-seq. qRT-PCR, western blot, confocal microscopy, and RNA interfering were performed to validate the function of exosomal miRNA. Results: Implantation of SCP28 tumor cells in situ leads to increased osteoclast activity and reduced bone density, which contributes to the formation of pre-metastatic niche for tumor cells. We found SCP28 cells-secreted exosomes are critical factors in promoting osteoclast differentiation and activation, which consequently accelerates bone lesion to reconstruct microenvironment for bone metastasis. Mechanistically, exosomal miR-21 derived from SCP28 cells facilitates osteoclastogenesis through regulating PDCD4 protein levels. Moreover, miR-21 level in serum exosomes of breast cancer patients with bone metastasis is significantly higher than that in other subpopulations. Conclusion: Our results indicate that breast cancer cell-derived exosomes play an important role in promoting breast cancer bone metastasis, which is associated with the formation of pre-metastatic niche via transferring miR-21 to osteoclasts. The data from patient samples further reflect the significance of miR-21 as a potential target for clinical diagnosis and treatment of breast cancer bone metastasis.

The paper aims to investigate land conversion as a result of urban–rural transformation in the Chinese context. Theoretical analysis and empirical study of the Bohai Rim region find strong connections between the land conversion rates and urban–rural transformation intensity in the period 2000–2010. Rapid land conversion normally takes place in counties/districts of low initial level of urban–rural transformation. However, places of high initial socioeconomic level and low transformation intensity would experience slow land conversion. The different land conversion rates in relation to urban–rural transformation intensity are mainly attributed to the China's land quotas distribution system which is subjective and administrative. The study highlights the implementation of land quotas distribution system based on differences to improve the land distribution efficiency and achieve balanced regional development in China.

Large-scale text-to-image diffusion models have made amazing advances. However, the status quo is to use text input alone, which can impede controllability. In this work, we propose GLIGEN, Grounded-Language-to-Image Generation, a novel approach that builds upon and extends the functionality of existing pre-trained text-to-image diffusion models by enabling them to also be conditioned on grounding inputs. To preserve the vast concept knowledge of the pre-trained model, we freeze all of its weights and inject the grounding information into new trainable layers via a gated mechanism. Our model achieves open-world grounded text2img generation with caption and bounding box condition inputs, and the grounding ability generalizes well to novel spatial configurations and concepts. GLIGEN's zero-shot performance on COCO and LVIS outperforms existing supervised layout-to-image baselines by a large margin.

China has undergone a dramatic transition echoed the unprecedented urbanization and economic growth since the late 1970s. The current research on urbanization has overlooked the transformation consistency between urban and rural areas. Although the Chinese central government has focused on improving rural residents' livelihood, it is still far from achieving coordinated urban–rural development. This paper provides a comprehensive assessment of China's urban–rural development transformation (URDT) based on three indicator systems, namely the urban–rural development level (URDL), the urban–rural structure level (URSL), and the urban–rural coordination level (URCL). Findings from this investigation show that universal and intense URDT has taken place in China over the last two decades. This has been accompanied by growth of URDL and URSL and deterioration of URCL. There are, however, obvious spatial disparities in the different aspects of URDT. The western and northeastern regions of China have experienced slower transformation than other regions between 1990 and 2010. Correlation analysis among the sub-index shows that coordinated urban–rural development needs a certain initial socioeconomic level and moderate changes of URDL and URSL. This paper suggests that more attentions should be paid to rural areas and lagging areas in central and western China. Given the regional disparities of URDT, the most effective way to achieve urban–rural integration in China is by taking the overall considerations of development policies of both region and urban–rural areas aimed at various urban–rural development transformation characteristics.

Urban-rural transformation and rural development are issues at the forefront of research on the topic of the urban-rural relationship in the field of geography, as well as important practical problems facing China’s new urbanization and overall planning of urban and rural development. The Center for Regional Agricultural and Rural Development, part of the Institute of Geographic Sciences and Natural Resources Research under the Chinese Academy of Sciences, was established in 2005. The Center has laid solid foundations for integrating research in the areas of agricultural geography and rural development in China over the past decade. The paper aims to review the major achievements in rural geographical research in China during the past decade, analyze innovative developments in relevant theories and methods, and suggest prospects and countermeasures for promoting comprehensive studies of urban-rural transformation and rural geography. The research shows that innovative achievements have been made in rural geography studies of China in the past decade as major national policy development, outputs of result and decision making support; new breakthroughs have been achieved in such major research projects as geographical integrated theory, land remediation projects and technology demonstration projects, new urbanization and urban-rural integration; significant progress has been made in actively expanding the frontiers of rural geography and pushing forward theoretical innovations in land and resource projects; and, with China’s development goals of building a moderately prosperous society in all respects and achieving modernization in mind, future innovative developments in agricultural and rural geography should aim to make research more strategic, systematic, scientific and security-oriented, with attention given to promoting systematic scientific research on international cooperation and global rural geography.

Purpose The Chinese Government initiates the targeted poverty alleviation strategy to lift 70.17 million population out of poverty in five years time until 2020. The purpose of this paper is to investigate how the targeted poverty alleviation policy was implemented. The investigation focusses on the people’s voices, implementation challenges and implications for policy making and improvement. Design/methodology/approach A nationwide survey covering 2,075 households in 22 impoverished counties of 13 provinces was carried out in August, 2015, providing rich statistics and evidence for the paper. Literature review of China’s poverty alleviation history is also made to lay a research basis for the study. Findings There are diverse needs of the impoverished households of different ages and different poverty causes. The defects of the policy are revealed such as the impractical way of accurate poverty identification, the existence of poverty-returning problem and passive poverty alleviation. Originality/value The study of the paper investigates the current challenges for carrying out the targeted poverty alleviation and indicates implications for policy improvement. These contribute to the effectiveness and efficiency of the targeted poverty alleviation policy in China.

There exists great potential of rural land consolidation in China due to the aggravated hollowed villages against the background of rapid rural-urban transformation. The paper aims to investigate the potential of rural land consolidation within four urbanization scenarios: Complete urbanization, Semi-urbanization, Urbanization in batches and prospective urbanization in 2020. Research findings show that, (1) the potentials of rural land consolidation in complete and semi-urbanization are 809.89×104 hm2 and 699.19×104 hm2 respectively while rural consolidation rates are 50.70% and 43.77%. As for the urbanization in batches and urbanization in 2020, the potentials are 757.89×104 hm2 and 992.16×104 hm2. (2) Beside Tibet and Ningxia, rural consolidation rates in most provinces are between 40% and 60%, and the land increase rates are between 3% and 12%. Significant correlation between potential of rural land consolidation and the degree of hollowed villages is also found. (3) Evident differences of potential of rural land consolidation exist across provinces. Rural consolidation rates in the East and Central provinces are higher than that in the West provinces. Villages in the developed areas have higher consolidation rates than those in the less developed areas, and villages in the plain areas tend to have higher consolidation rates than those in the mountainous areas.

This paper examines the impact of nonfarm employment stability on migrant workers’ farmland transfer decisions. Using data on 1148 migrant workers extracted from the Chinese General Social Survey (CGSS), our structural equation model determined a significant positive impact of employment stability on migrant workers’ farmland transfer behaviour. Results show that the employment stability of migrant workers has a significant positive impact on their farmland transfer behaviour. In particular, their willingness to settle in the city is an important, although incomplete intermediary factor, accounting for 42.15% of the overall employment stability effect. These findings imply that creating a fair and inclusive employment system in urban China and expanding the urban welfare system to include migrant workers are likely measures to develop land rental markets in rural China.

With the rapid development of urbanization and industrialization, China’s metropolitan areas have experienced dramatic transitions of land use, which has had a profound impact on the eco-environment. Accordingly, the contradictions of regional production, living, and ecological spaces have intensified. In this context, analysis of the dynamics of regional production–living–ecological (PLE) spaces has become an important entry point for studying land use transition and its eco-environmental effects, by constructing a classification system of PLE land functions. Using remote sensing data from four periods from 1985 to 2018, this paper explores the spatiotemporal evolution characteristics of PLE spaces and their eco-environmental effects in the Beijing–Tianjin–Hebei (BTH) urban agglomeration, based on GIS and the InVEST model. The results revealed that from 1985 to 2018, the living space of the BTH region expanded rapidly, the production space gradually shrank, and the ecological land remained relatively stable. The eco-environmental quality index within the study area shows obvious regional differences, demonstrating the spatial distribution of “high in the northwest and low in the southeast”, and an overall deteriorating trend in the past 33 years. Moreover, the carbon density decreased gradually from northwest to southeast, and the transformations from production land into living land and from ecological land into production land were the major types of eco-environment deterioration. Our findings will provide guidelines for land use management, and offer references for the functional division of PLE spaces and ecological civilization construction, especially in terms of the coordinated development of the BTH region.

The Pd nanosheets with controlled edge length were simply synthesized and exhibited tunable localized surface plasmon resonance properties.

Land degradation brings about the rural poverty problems impeding county economic development and rural revitalization in fragile ecological regions. Our objectives were to explain the role played by degraded land consolidation in rural poverty elimination and development, and then show the importance of degraded land consolidation in county targeted poverty alleviation by one case study. Degraded land consolidation provides an effective way to improve production and living environment, promote industry development, and activate poor households’ endogenous motivation. Land degradation in Dingbian County is characterized by land sandification, salinization and soil erosion. Dingbian government has arranged 36 projects to consolidate degraded land with areas of 4921.61 ha. Degraded land consolidation optimized rural economic structure and mitigated rural poverty through integration with agriculture, industry and tourism in Dingbian County. Government’s land policy and relevant land engineering eradicated the poverty trap through interaction with the raised poor households’ awareness, skill and motivation. Targeted poverty alleviation is a complex systematic engineering. Specific issues should be noted in poverty alleviation promoted by innovated land policy and land consolidation, such as regional precision diagnosis, rational industry development plan and ecological risky evaluation.

We present MixNMatch, a conditional generative model that learns to disentangle and encode background, object pose, shape, and texture from real images with minimal supervision, for mix-and-match image generation. We build upon FineGAN, an unconditional generative model, to learn the desired disentanglement and image generator, and leverage adversarial joint image-code distribution matching to learn the latent factor encoders. MixNMatch requires bounding boxes during training to model background, but requires no other supervision. Through extensive experiments, we demonstrate MixNMatch's ability to accurately disentangle, encode, and combine multiple factors for mix-and-match image generation, including sketch2color, cartoon2img, and img2gif applications. Our code/models/demo can be found at https://github.com/Yuheng-Li/MixNMatch

Inspired by Nepenthes pitcher plant, slippery liquid-infused porous surface (SLIPS) has been received great concern. However, the fabrication and application of SLIPS generally cannot avoid the complicated construction of the micro/nanostructures and the loss of the lubricant. In addition, despite another slippery covalently surface can exhibit liquid-like properties of SLIPS, the chemical grafting reaction conditions are usually harsh and low-efficiency. To address these challenges, herein an easy, high-efficiency and non-fluorinated strategy to create a flat slippery coating without the loss of lubricant (SCLL) was reported. The better flatness and the own hydrophobicity of the cured polyorganosilazane (PSZ) combined with the silicone oil molecules on its surface endowed the SCLL excellent slippery property. Moreover, the strong intermolecular attraction and the large adhesion work originated from the chemical affinity between PSZ and silicone oil molecules allowed the proposed SCLL with no lubricant loss. We further showed the SCLL has promising application prospects in the ice resistance, indicated by its longer icing-delaying time and lower ice adhesion strength, compared with original Al surface. Our envision is that SCLL may be applied in the practical industry production.

Non-fused ring electron acceptors (NFREAs) are attractive for organic solar cells (OSCs) due to their lower cost and easier synthesis step compared with fused ring type counterparts. Herein, we demonstrate ternary OSCs with two tailor-made NFREAs to improve the efficiency of NFREA-based OSCs. An ambipolar NFREA with dual functions of both electron accepting and donating is employed as third component in ternary blend to provide smooth multiple charge transfer routes without accumulation, and to generate additional photoexcited carriers at the two NFREAs interface. Time-resolved photoluminescence and transient absorption spectroscopy tests confirm the charge transfer between two NFREAs besides between donor and NFREAs. Both space-charge-limited-current mobility and field-effect mobility reveal the ambipolar transport in the third component. In addition, two NFREAs are designed with similar molecular structure to improve the miscibility, in turn, to form homogenously mixed phase with enhanced molecular packing. As a result, the ternary OSC with two NFREAs yields an impressive power conversion efficiency of 15.01%, which is significantly higher than that of binary devices. This work provides an effective strategy to improve the efficiency of NFREA-based OSCs by employing dual-functional ambipolar NFREA and designing similar molecular structure between two NFREAs.

Abstract Mechanical stimulation plays an important role in bone remodeling. Exercise-induced mechanical loading enhances bone strength, whereas mechanical unloading leads to bone loss. Increasing evidence has demonstrated that long noncoding RNAs (lncRNAs) play key roles in diverse biological, physiological and pathological contexts. However, the roles of lncRNAs in mechanotransduction and their relationships with bone formation remain unknown. In this study, we screened mechanosensing lncRNAs in osteoblasts and identified Neat1 , the most clearly decreased lncRNA under simulated microgravity. Of note, not only Neat1 expression but also the specific paraspeckle structure formed by Neat1 was sensitive to different mechanical stimulations, which were closely associated with osteoblast function. Paraspeckles exhibited small punctate aggregates under simulated microgravity and elongated prolate or larger irregular structures under mechanical loading. Neat1 knockout mice displayed disrupted bone formation, impaired bone structure and strength, and reduced bone mass. Neat1 deficiency in osteoblasts reduced the response of osteoblasts to mechanical stimulation. In vivo, Neat1 knockout in mice weakened the bone phenotypes in response to mechanical loading and hindlimb unloading stimulation. Mechanistically, paraspeckles promoted nuclear retention of E3 ubiquitin ligase Smurf1 mRNA and downregulation of their translation, thus inhibiting ubiquitination-mediated degradation of the osteoblast master transcription factor Runx2, a Smurf1 target. Our study revealed that Neat1 plays an essential role in osteoblast function under mechanical stimulation, which provides a paradigm for the function of the lncRNA-assembled structure in response to mechanical stimulation and offers a therapeutic strategy for long-term spaceflight- or bedrest-induced bone loss and age-related osteoporosis.

Aliasing refers to the phenomenon that high frequency signals degenerate into completely different ones after sampling. It arises as a problem in the context of deep learning as downsampling layers are widely adopted in deep architectures to reduce parameters and computation. The standard solution is to apply a low-pass filter (e.g., Gaussian blur) before downsampling (Zhang in: ICML, 2020). However, it can be suboptimal to apply the same filter across the entire content, as the frequency of feature maps can vary across both spatial locations and feature channels. To tackle this, we propose an adaptive content-aware low-pass filtering layer, which predicts separate filter weights for each spatial location and channel group of the input feature maps. We investigate the effectiveness and generalization of the proposed method across multiple tasks, including image classification, semantic segmentation, instance segmentation, video instance segmentation, and image-to-image translation. Both qualitative and quantitative results demonstrate that our approach effectively adapts to the different feature frequencies to avoid aliasing while preserving useful information for recognition. Code is available at https://maureenzou.github.io/ddac/ .

The sandy area along the Great Wall in northern Shaanxi Province of China, is located in the transition zone between the Maowusu Desert and the loess hills and gullies region, with a vast territory and large per capita of cultivated agricultural land. However, the cultivated land quality is generally poor due to the local natural conditions. It is of practical significance to find ways to improve the quality of agricultural land and put forward targeted measures for its improvement. Through the analysis of farmland gradation results in the study area, we calculated an improvement potential index with a model to determine the primary limiting factors of agricultural land quality in the study area. The results indicate that both singe-factor and combined-factor limitations exist in the region. The single-factor limiting types include soil thickness, organic content, irrigation, salinization, etc., while the combined-factor limiting types include the combinations of the irrigation water source and irrigation firm probability, soil structure and organic matter, soil thickness and soil texture, and so on. Through the analysis of the potential index model results, we determined the main limiting factors in agricultural production, which vary spatially throughout the region, and suggested targeted measures to improve the cultivated land quality. These measures will then promote revitalization of sandy rural areas along the great wall in northern Shaanxi Province, China.

Malicious applications of deepfakes (i.e., technologies generating target facial attributes or entire faces from facial images) have posed a huge threat to individuals' reputation and security. To mitigate these threats, recent studies have proposed adversarial watermarks to combat deepfake models, leading them to generate distorted outputs. Despite achieving impressive results, these adversarial watermarks have low image-level and model-level transferability, meaning that they can protect only one facial image from one specific deepfake model. To address these issues, we propose a novel solution that can generate a Cross-Model Universal Adversarial Watermark (CMUA-Watermark), protecting a large number of facial images from multiple deepfake models. Specifically, we begin by proposing a cross-model universal attack pipeline that attacks multiple deepfake models iteratively. Then, we design a two-level perturbation fusion strategy to alleviate the conflict between the adversarial watermarks generated by different facial images and models. Moreover, we address the key problem in cross-model optimization with a heuristic approach to automatically find the suitable attack step sizes for different models, further weakening the model-level conflict. Finally, we introduce a more reasonable and comprehensive evaluation method to fully test the proposed method and compare it with existing ones. Extensive experimental results demonstrate that the proposed CMUA-Watermark can effectively distort the fake facial images generated by multiple deepfake models while achieving a better performance than existing methods. Our code is available at https://github.com/VDIGPKU/CMUA-Watermark.

3D-aware generative models have shown that the introduction of 3D information can lead to more controllable image generation. In particular, the current state-of-the-art model GIRAFFE [38] can control each object's rotation, translation, scale, and scene camera pose without corresponding supervision. However, GIRAFFE only operates well when the image resolution is low. We propose GIRAFFE HD, a high-resolution 3D-aware generative model that inherits all of GIRAFFE's controllable features while generating high-quality, high-resolution images (512 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> resolution and above). The key idea is to leverage a style- based neural renderer, and to independently generate the foreground and background to force their disentanglement while imposing consistency constraints to stitch them together to composite a coherent final image. We demonstrate state-of-the-art 3D controllable high-resolution image generation on multiple natural image datasets.

It has been recognized that China's targeted poverty alleviation policy can greatly improve the economic development of rural areas, but whether it can improve rural resilience for sustainable development has been less studied. Based on anatomising the connotation of rural economic resilience and proposing theoretical framework for the influence of policies, this study empirically analyses the implication of poverty alleviation policies on rural economic resilience using regression analysis techniques, based on field survey data from 338 villages in Lankao County, China. It is shown that rural economic resilience is connected with their resistance, adaptation, and transformation capabilities, and China's targeted poverty alleviation policies have significantly improved the economic resilience of villages because of the government's efforts to upgrade production factors, optimise the economic structure and expand rural functions have awakened the impetus of endogenous development in rural areas. Compared with resistance and transformability, poverty alleviation policies have a greater positive impact on the adaptability of rural economies. The explanatory power of poverty alleviation policies on the rural economic resilience of Lankao County shows obvious spatial differentiation. The effectiveness of poverty alleviation policies was more prominent in the southeast, where poverty was worse. The recommendations proposed based on these results can provide an important reference for promoting rural economic resilience and sustainable development in developing countries.

Smallholders are prevalent worldwide. Agricultural cooperatives are often considered an effective instrument for bridging the gap between smallholders and modern agriculture because they enable large-scale production and ensure the quality of agricultural products. This study aims to provide quantitative evidence on the role of cooperatives in boosting macro-level agricultural economic growth using unbalanced panel data of 1866 Chinese counties between 2007 and 2019. The results show that the number of cooperatives at the county level exerts an ‘inverted U-shaped’ effect on agricultural economic growth, while the average membership size of cooperatives has a ‘U-shaped’ effect on agricultural economic growth. Cooperatives with no farmer members or capital contribution can be considered ‘fake’ cooperatives. However, these ‘fake’ cooperatives do not hamper the agricultural economy. Furthermore, capital accumulation is a critical mechanism through which agricultural cooperatives bridge the gap between smallholders and modern agriculture. On the contrary, government subsidies to agricultural cooperatives do not contribute to agricultural development. Based on the findings, this study recommends to drive out ‘fake’ cooperatives without farmer members or accumulated capital to promote the development of ‘genuine’ cooperatives. Moreover, establishing an appropriate membership size and promoting capital accumulation are also important to enhance the effectiveness of agricultural cooperatives in developing modern agriculture.

Abstract Materials with high hardness, strength or plasticity have been widely used in the fields of aviation, aerospace, and military, among others. However, the poor machinability of these materials leads to large cutting forces, high cutting temperatures, serious tool wear, and chip adhesion, which affect machining quality. Low-temperature plasma contains a variety of active particles and can effectively adjust material properties, including hardness, strength, ductility, and wettability, significantly improving material machinability. In this paper, we first discuss the mechanisms and applications of low-temperature plasma-assisted machining. After introducing the characteristics, classifications, and action mechanisms of the low-temperature plasma, we describe the effects of the low-temperature plasma on different machining processes of various difficult-to-cut materials. The low-temperature plasma can be classified as hot plasma and cold plasma according to the different equilibrium states. Hot plasma improves material machinability via the thermal softening effect induced by the high temperature, whereas the main mechanisms of the cold plasma can be summarized as chemical reactions to reduce material hardness, the hydrophilization effect to improve surface wettability, and the Rehbinder effect to promote fracture. In addition, hybrid machining methods combining the merits of the low-temperature plasma and other energy fields like ultrasonic vibration, liquid nitrogen, and minimum quantity lubrication are also described and analyzed. Finally, the promising development trends of low-temperature plasma-assisted machining are presented, which include more precise control of the heat-affected zone in hot plasma-assisted machining, cold plasma-assisted polishing of metal materials, and further investigations on the reaction mechanisms between the cold plasma and other materials.

Skin cancer is a prevalent and potentially fatal disease that requires accurate and efficient diagnosis and treatment. Although manual tracing is the current standard in clinics, automated tools are desired to reduce human labor and improve accuracy. However, developing such tools is challenging due to the highly variable appearance of skin cancers and complex objects in the background. In this paper, we present SkinSAM, a fine-tuned model based on the Segment Anything Model that showed outstanding segmentation performance. The models are validated on HAM10000 dataset which includes 10015 dermatoscopic images. While larger models (ViT_L, ViT_H) performed better than the smaller one (ViT_b), the finetuned model (ViT_b_finetuned) exhibited the greatest improvement, with a Mean pixel accuracy of 0.945, Mean dice score of 0.8879, and Mean IoU score of 0.7843. Among the lesion types, vascular lesions showed the best segmentation results. Our research demonstrates the great potential of adapting SAM to medical image segmentation tasks.

Al-Li alloy has excellent overall performance and great development potential, which has been considered as a very ideal structural material for aerospace applications. However, the high ductility causes material adhesion to the tool surface, giving rise to severe tool wear, tool breakage, and other machining problems, which restrict the machining quality and practical application of Al-Li alloy structural parts. The multi-filed coupling of cold plasma and nano-lubricant minimum quantity lubrication (CPNMQL) may provide new enlightenment to break this bottleneck. Effects of the multi-field on the micro-milling process were characterized by tool wear, micro-milling force, three-dimensional surface roughness (Sa), and micromorphology. The research results demonstrated that cold plasma (CP) could not only increase the permeability of nano-lubricant on the Al-Li alloy surface but also enhance the material removal efficiency. When the micro-milling distance was 2 m, the average VB value (3.7 µm) of the three tool teeth under CPNMQL condition was reduced by 80.7 %, 54.9 %, and 51.3 %, while micro-milling edge radius (4.4 µm) decreased by 73.2 %, 24.1 %, and 44.3 % compared to dry, nano-lubricant minimum quantity lubrication (NMQL), and CP conditions, respectively.

Automatic segmentation of colon polyps can significantly reduce the misdiagnosis of colon cancer and improve physician annotation efficiency. While many methods have been proposed for polyp segmentation, training large-scale segmentation networks with limited colonoscopy data remains a challenge. Recently, the Segment Anything Model (SAM) has recently gained much attention in both natural image and medical image segmentation. SAM demonstrates superior performance in several vision benchmarks and shows great potential for medical image segmentation. In this study, we propose Poly-SAM, a finetuned SAM model for polyp segmentation, and compare its performance to several state-of-the-art polyp segmentation models. We also compare two transfer learning strategies of SAM with and without finetuning its encoders. Evaluated on five public datasets, our Polyp-SAM achieves state-of-the-art performance on two datasets and impressive performance on three datasets, with dice scores all above 88%. This study demonstrates the great potential of adapting SAM to medical image segmentation tasks.

Large scale, Internet based mobile TV deployment presents both tremendous opportunities and challenges for mobile operators and technology providers. This paper presents a measurement based study on a large scale mobile TV service offering in China. Within the one month measurement period, our dataset captured over 1 million unique mobile devices and more than 49 million video sessions. Analysis showed that mobile viewing patterns are different from that of landline based IPTV and VoD systems. In particular, the average viewing time is significantly shorter, and the channel popularity distribution is more skewed towards top ranked channels than that of landline based systems. For the channel sojourn time, the distribution follows a piecewise model, which combines lognormal and pareto distribution. The lognormal part, which fits the majority of video sessions, more closely resembles the mobile phone call holding time, rather than the power law distribution in the landline IPTV case. In comparing the 3G and WiFi access methods, we found that users exhibit different behaviors when accessing from different networks. In 3G networks, where users are subject to data charge, users tend to have shorter channel sojourn time and prefer lower bit-rate channels. The parameters of the distributions are also different. Understanding these user behaviors and their implications on network traffic are critical for the success of future mobile TV industry.

This paper investigates the way in which changes in social and industrial structures brought about by the urban-rural transformation process impact upon the relationship between farmland conversion and economic growth in post-reform China. Through this study, panel data analysis revealed that an inverted U-shape relationship existed between the factors of farmland conversion and economic growth in China in the period 2000–2009. The turning point, whereby decreasing farmland conversion is able to occur alongside economic growth, was found to have occurred in 2008, the year when China's per capita GDP exceeded 3000 US dollars. Moreover, rural-urban migration was not found to be significant with respect to this relationship, while the industrial upgrading from secondary to tertiary industries was found to help reduce farmland conversion. The paper highlights the important role that market and governmental forces play in initiating the shift from extensive to intensive and highly efficient land-use patterns.

The Loess Plateau is one typical area of serious soil erosion in the world. China has implemented ‘Grain for Green’ (GFG) project to restore the eco-environment of the Loess Plateau since 1999. With the GFG project subsidy approaching the end, it is concerned that farmers of fewer subsidies may reclaim land again. Thus, ‘Gully Land Consolidation Project’ (GLCP) was initiated in 2010. The core of the GLCP was to create more land suitable for farming in gullies so as to reduce land reclamation on the slopes which are ecological vulnerable areas. This paper aims to assess the effect of the GLCP on soil erosion problems by studying Wangjiagou project region located in the central part of Anzi valley in the middle of the Loess Plateau, mainly using the revised universal soil loss equation (RUSLE) based on GIS. The findings show that the GLCP can help to reduce soil shipment by 9.87% and it creates more terraces and river-nearby land suitable for farming which account for 27.41% of the whole study area. Thus, it is feasible to implement the GLCP in places below gradient 15°, though the GLCP also intensifies soil erosion in certain places such as field ridge, village land, floodplain, natural grassland, and shrub land. In short, the GLCP develops new generation dam land and balances the short-term and long-term interests to ease the conflicts between economic development and environmental protection. Furthermore, the GLCP and the GFG could also be combined preferably. On the one hand, the GFG improves the ecological environment, which could offer certain safety to the GLCP, on the other hand, the GLCP creates more farmland favorable for farming in gullies instead of land reclamation on the slopes, which could indirectly protect the GFG project.

Sustained cardiac pressure overload-induced hypertrophy and pathological remodeling frequently leads to heart failure. Casein kinase-2 interacting protein-1 (CKIP-1) has been identified to be an important regulator of cell proliferation, differentiation, and apoptosis. However, the physiological role of CKIP-1 in the heart is unknown.The results of echocardiography and histology demonstrate that CKIP-1-deficient mice exhibit spontaneous cardiac hypertrophy with aging and hypersensitivity to pressure overload-induced pathological cardiac hypertrophy, as well. Transgenic mice with cardiac-specific overexpression of CKIP-1 showed resistance to cardiac hypertrophy in response to pressure overload. The results of GST pull-down and coimmunoprecipitation assays showed the interaction between CKIP-1 and histone deacetylase 4 (HDAC4), through which they synergistically inhibited transcriptional activity of myocyte-specific enhancer factor 2C. By directly interacting with the catalytic subunit of phosphatase 2A, CKIP-1 overexpression enhanced the binding of catalytic subunit of phosphatase-2A to HDAC4 and promoted HDAC4 dephosphorylation.CKIP-1 was found to be an inhibitor of cardiac hypertrophy by upregulating the dephosphorylation of HDAC4 through the recruitment of protein phosphatase 2A. These results demonstrated a unique function of CKIP-1, by which it suppresses cardiac hypertrophy through its capacity to regulate HDAC4 dephosphorylation and fetal cardiac genes expression.

Abstract The purpose of this study was to find the circulating microRNAs (miRNAs) co-related with the severity of coronary artery calcification (CAC) and testify whether the selected miRNAs could reflect the obstructive coronary artery disease in symptomatic patients. Patients with chest pain and moderated risk for coronary artery disease (CAD) were characterized with coronary artery calcium score (CACS) from cardiac computed tomography (CT). We analyzed plasma miRNA levels of clinical matched 11 CAC (CACS &gt; 100) and 6 non-CAC (CACS = 0) subjects by microarray profile. Microarray analysis identified 34 differentially expressed miRNAs between CAC and non CAC groups. Eight miRNAs (miR-223, miR-3135b, miR-133a-3p, miR-2861, miR-134, miR-191-3p, miR-3679-5p, miR-1229 in CAC patients) were significantly increased in CAC plasma in an independent clinical matched cohort. Four miRNAs (miR-2861, 134, 1229 and 3135b) were correlated with the degree of CAC. Validation test in angiographic cohort showed that miR-134, miR-3135b and miR-2861 were significantly changed in patients with obstructive CAD . We identified three significantly upregulated circulating miRNAs (miR-134, miR-3135b and 2861) correlated with CAC while detected obstructive coronary disease in symptomatic patients.

Iron overload inhibits osteoblast function and promotes osteoclastogenesis. Hepcidin plays an important role in this process. The changes in iron content and the regulation of hepcidin under unloading-induced bone loss remain unknown. A hindlimb suspension model was adopted to simulate unloading-induced bone loss in mice. The results showed that iron deposition in both liver and bone was markedly increased in hindlimb unloaded mice, and was accompanied by the upregulation of osteoclast activity and downregulation of osteoblast activity. The iron chelator deferoxamine mesylate (DFO) reduced the iron content in bone and alleviated unloading-induced bone loss. The increased iron content in bone was mainly a result of the upregulation of transferrin receptor 1 (TfR1) and divalent metal transporter 1 with iron response element (DMT1 + IRE), rather than changes in the iron transporter ferroportin 1 (FPN1). The hepcidin level in the liver was significantly higher, while the FPN1 level in the duodenum was substantially reduced. However, there were no changes in the FPN1 level in bone tissue. During hindlimb unloading, downregulation of hepcidin by siRNA increased iron uptake in bone and liver, which aggravated unloading-induced bone loss. In summary, these data show that unloading-induced bone loss was orchestrated by iron overload and coupled with the regulation of hepcidin by the liver.

A novel two-dimensional Ge-based hybrid perovskite is proposed for potential optoelectronic applications.

Without adequate treatment, pathological cardiac hypertrophy induced by sustained pressure overload eventually leads to heart failure. WWP1 (WW domain-containing E3 ubiquitin protein ligase 1) is an important regulator of aging-related pathologies, including cancer and cardiovascular diseases. However, the role of WWP1 in pressure overload-induced cardiac remodeling and heart failure is yet to be determined.To examine the correlation of WWP1 with hypertrophy, we analyzed WWP1 expression in patients with heart failure and mice subjected to transverse aortic constriction (TAC) by Western blotting and immunohistochemical staining. TAC surgery was performed on WWP1 knockout mice to assess the role of WWP1 in cardiac hypertrophy, heart function was examined by echocardiography, and related cellular and molecular markers were examined. Mass spectrometry and coimmunoprecipitation assays were conducted to identify the proteins that interacted with WWP1. Pulse-chase assay, ubiquitination assay, reporter gene assay, and an in vivo mouse model via AAV9 (adeno-associated virus serotype 9) were used to explore the mechanisms by which WWP1 regulates cardiac remodeling. AAV9 carrying cardiac troponin T (cTnT) promoter-driven small hairpin RNA targeting WWP1 (AAV9-cTnT-shWWP1) was administered to investigate its rescue role in TAC-induced cardiac dysfunction.The WWP1 level was significantly increased in the hypertrophic hearts from patients with heart failure and mice subjected to TAC. The results of echocardiography and histology demonstrated that WWP1 knockout protected the heart from TAC-induced hypertrophy. There was a direct interaction between WWP1 and DVL2 (disheveled segment polarity protein 2). DVL2 was stabilized by WWP1-mediated K27-linked polyubiquitination. The role of WWP1 in pressure overload-induced cardiac hypertrophy was mediated by the DVL2/CaMKII/HDAC4/MEF2C signaling pathway. Therapeutic targeting WWP1 almost abolished TAC induced heart dysfunction, suggesting WWP1 as a potential target for treating cardiac hypertrophy and failure.We identified WWP1 as a key therapeutic target for pressure overload induced cardiac remodeling. We also found a novel mechanism regulated by WWP1. WWP1 promotes atypical K27-linked ubiquitin multichain assembly on DVL2 and exacerbates cardiac hypertrophy by the DVL2/CaMKII/HDAC4/MEF2C pathway.

Abstract As rural decline sweeps the world and draws public attention, it becomes necessary to consider the relationship between urbanization and rural development. The paper investigates this topic in China for the period 1989–2018. The research results find positive contribution of urbanization to rural economy in the research period but with a decreasing tendency. Compared to less developed areas, rural economy of developed regions has become less dependent on cities and can flourish in a larger context with the support of modern transportation and telecommunication technologies. However, those peripheral rural areas tend to face continuous and large‐scale rural–urban migration which has aggravated rural decline. Rural economic growth helps to decrease rural outmigration and people will stay in their hometown with available job opportunities to raise their families and maintain livelihood. The paper proposes balance‐friendly urbanization structure and diversified rural economy to improve rural resilience to meet the challenge of rural decline.

As the global variable of the battery management system (BMS), the state of charge (SOC) of the battery pack represents the residual capacity of the whole battery system. High precision estimation of the battery pack SOC is the basis for realizing other functions of BMS. In this paper, the battery pack SOC under three different structures of series, parallel and hybrid connection are clearly defined and analyzed, and then the compressed data set highly related to battery pack SOC is obtained by using the feature extraction strategy based on variable correlation analysis and principal component analysis, which is used as the input of radial basis function neural network (RBFNN) to estimate battery pack SOC. Besides, the particle swarm optimization (PSO) algorithm is used to improve the RBFNN estimation model (PSO-RBFNN), which improves the estimated accuracy. It is verified that the PSO-RBFNN method has better estimation performance than RBFNN, the average absolute error and the root mean square error of PSO-RBFNN can be reduced to 0.23% and 0.34% respectively under the New European Driving Cycle. Finally, through the comparative analysis and the robustness evaluation experiments including four driving cycles and measurement noises test verify the good performance of the proposed method.

Osteoclast over-activation leads to bone loss and chloride homeostasis is fundamental importance for osteoclast function. The calcium-activated chloride channel Anoctamin 1 (also known as TMEM16A) is an important chloride channel involved in many physiological processes. However, its role in osteoclast remains unresolved. Here, we identified the existence of Anoctamin 1 in osteoclast and show that its expression positively correlates with osteoclast activity. Osteoclast-specific Anoctamin 1 knockout mice exhibit increased bone mass and decreased bone resorption. Mechanistically, Anoctamin 1 deletion increases intracellular Cl- concentration, decreases H+ secretion and reduces bone resorption. Notably, Anoctamin 1 physically interacts with RANK and this interaction is dependent upon Anoctamin 1 channel activity, jointly promoting RANKL-induced downstream signaling pathways. Anoctamin 1 protein levels are substantially increased in osteoporosis patients and this closely correlates with osteoclast activity. Finally, Anoctamin 1 deletion significantly alleviates ovariectomy induced osteoporosis. These results collectively establish Anoctamin 1 as an essential regulator in osteoclast function and suggest a potential therapeutic target for osteoporosis.

China has experienced rapid urbanization in recent decades. However, rural areas lag behind cities, leading to increased urban-rural economic disparities. As China's traditional agricultural zone, the “Three Mountains and One Beach”(TMOB) area is the collective name for the four concentrated poverty areas in Henan Province, including Dabie Mountain, Funiu Mountain, Taihang Mountain and Yellow River Beach Area. In 2014, nearly 4 million people lived under China's poverty line. Poverty is a manifestation of rural system decline and the result of uncoordinated development. This study constructed a theoretical analysis framework for regional rural poverty formation and rural development. Then, a case study was developed in the TMOB area to identify key constraints on rural development and discuss development strategies for different types of poverty-stricken rural areas. The results show that key constraints to rural development in the case area are rapid labour loss, weak urban driving force, lagging infrastructure and public services, a single industrial structure, and poor economic foundation. Four types of constraints on rural development are drawn: natural resource-constrained type, industry-constrained type, infrastructure-constrained type, and human resource-constrained type. Poverty-stricken rural areas should implement policies according to their constraint types and adopt function-oriented poverty reduction and development strategies.

Access to employment through the Internet matters a great deal to stabilise the livelihood of migrant peasant workers in Chinese cities. This study examines how Internet usage affects the off-farm income of migrant peasant workers by constructing a random effects model for the period 2010–2016. Research findings corroborate that Internet usage has significantly increased the off-farm income of migrant peasant workers and the positive impact of Internet usage on income is stronger for migrant peasant workers than for their urban flexible-employed counterparts. The positive impacts of Internet usage on migrant peasant workers’ income vary regarding region, gender, and educational level. It is concluded that Internet usage has helped improve the livelihood resilience of migrant peasant workers in China.

Frequently-occurring oil spills and wastewater discharge pose great threats to ecological environment and economy. Although various extreme wettability materials have been designed for separations of oil/water mixtures, most of them tend to involve toxic chemical reagents, thus resulting in second pollution to the environment. This paper develops polydimethylsiloxane (PDMS) meshes with excellent chemical stability, reversible super-wettability and good reusability for efficient gravity-driven oil/water separation. Superhydrophobic PDMS meshes can be fabricated by directly constructing microstructures via laser-textured aluminum sheet templates, and heavy oils/water mixtures can thus be separated. After treated by atmospheric-pressure plasma jet for just 2 mins, the superhydrophobic PDMS meshes become superhydrophilic-underwater-superoleophobic, and separation of light oils/water mixtures can be thereby achieved. More interestingly, the plasma-treated superhydrophilic meshes can recover to be superhydrophobic by heating under 80 °C for 20 mins. Therefore, PDMS meshes with reversible super-wettability can be efficiently prepared, and the separation efficiencies for various heavy/light oils and water mixtures are all above 96%. In addition, the prepared PDMS meshes show excellent separation ability under harsh conditions including hot water, acidic and salty conditions, having great application potential in oil/water separation field.

The Yellow River Basin (YRB) occupies an important position in China’s socioeconomic development and ecological conservation efforts. Understanding the spatiotemporal characteristics of the relationships among multiple ecosystem services (ESs) and their drivers is crucial for regional sustainable development and human-earth system coordination. This study simulated food production (FP), water yield (WY), net primary production (NPP), soil conservation (SC), and habitat quality (HQ) in the YRB from 2000 to 2020, and evaluated the spatial evolution and the relationship of ESs at the raster scale. Redundancy analysis was used to identify the impact of natural, socioeconomic, and landscape patterns on the relationship between ESs. The results demonstrated that the average HQ per unit area decreased by 18.10%, while SC, NPP, WY, and FP increased by 42.68%, 47.63%, 30.82%, and 67.10%, respectively, from 2000 to 2020. The relationship between ESs in the YRB was dominated by weak trade-offs and weak synergies at a temporal scale, with the trade-offs strengthened in the Upper Yellow River Basin (UYRB) and the Middle Yellow River Basin (MYRB), and synergies strengthened in the Lower Yellow River Basin (LYRB). At the spatial scale, the relationships between HQ and WY, HQ and SC, HQ and NPP, FP and SC, and FP and HQ were all dominated by trade-offs, while other ES pairs were mostly based on synergistic relationships. In the YRB, the relationships among ESs were mainly influenced by human disturbance, precipitation, and land-use and exploitation intensity. Specifically, the trade-offs among ESs in the UYRB were primarily affected by precipitation, and those in the MYRB and LYRB by human disturbance. The heterogeneity of the landscape could also effectively promote synergies among ESs. This study could provide insights into trade-offs and synergies among ESs and their driving forces and lay a foundation for ecological restoration and sustainable development of ESs in the YRB.

Abstract Background and purpose Magnetic resonance imaging (MRI)‐based synthetic computed tomography (sCT) simplifies radiation therapy treatment planning by eliminating the need for CT simulation and error‐prone image registration, ultimately reducing patient radiation dose and setup uncertainty. In this work, we propose a MRI‐to‐CT transformer‐based improved denoising diffusion probabilistic model (MC‐IDDPM) to translate MRI into high‐quality sCT to facilitate radiation treatment planning. Methods MC‐IDDPM implements diffusion processes with a shifted‐window transformer network to generate sCT from MRI. The proposed model consists of two processes: a forward process, which involves adding Gaussian noise to real CT scans to create noisy images, and a reverse process, in which a shifted‐window transformer V‐net (Swin‐Vnet) denoises the noisy CT scans conditioned on the MRI from the same patient to produce noise‐free CT scans. With an optimally trained Swin‐Vnet, the reverse diffusion process was used to generate noise‐free sCT scans matching MRI anatomy. We evaluated the proposed method by generating sCT from MRI on an institutional brain dataset and an institutional prostate dataset. Quantitative evaluations were conducted using several metrics, including Mean Absolute Error (MAE), Peak Signal‐to‐Noise Ratio (PSNR), Multi‐scale Structure Similarity Index (SSIM), and Normalized Cross Correlation (NCC). Dosimetry analyses were also performed, including comparisons of mean dose and target dose coverages for 95% and 99%. Results MC‐IDDPM generated brain sCTs with state‐of‐the‐art quantitative results with MAE 48.825 ± 21.491 HU, PSNR 26.491 ± 2.814 dB, SSIM 0.947 ± 0.032, and NCC 0.976 ± 0.019. For the prostate dataset: MAE 55.124 ± 9.414 HU, PSNR 28.708 ± 2.112 dB, SSIM 0.878 ± 0.040, and NCC 0.940 ± 0.039. MC‐IDDPM demonstrates a statistically significant improvement (with p &lt; 0.05) in most metrics when compared to competing networks, for both brain and prostate synthetic CT. Dosimetry analyses indicated that the target dose coverage differences by using CT and sCT were within ± 0.34%. Conclusions We have developed and validated a novel approach for generating CT images from routine MRIs using a transformer‐based improved DDPM. This model effectively captures the complex relationship between CT and MRI images, allowing for robust and high‐quality synthetic CT images to be generated in a matter of minutes. This approach has the potential to greatly simplify the treatment planning process for radiation therapy by eliminating the need for additional CT scans, reducing the amount of time patients spend in treatment planning, and enhancing the accuracy of treatment delivery.

In this study, the authors investigated the wettability change of atmospheric-pressure-cold-plasma (APCP)-treated polytetrafluoroethylene (PTFE) surfaces with time under different storage temperatures and pressures, and the results indicate that low temperature can hinder wettability recovery. After storage for 5 days, the water contact angle (WCA) of PTFE stored at room temperature (25°C) recovered from 19 ± 2 to 54 ± 2°, while the WCA of PTFE stored at low temperature (−10°C) increased to just 42 ± 3°. Then, the mechanism contributing to the slower wettability recovery was investigated by analyzing surface chemical compositions through X-ray photoelectron spectroscopy and observing surface morphologies using atomic force microscopy. After 15-day storage, the oxygen (O) and nitrogen (N) contents decreased obviously, while the fluorine (F) content increased. The fluorine content of the sample stored at low temperature was 20% less than that of the sample stored at room temperature. In contrast, surface micromorphologies were unchanged during storage, and the surface roughness R a of each sample was around 7 nm. Finally, peel strength tests were conducted on APCP-treated PTFE surfaces stored at different temperatures, and the surfaces stored at low temperature maintained better adhesive properties. After 15 days of storage, the adhesive strength could still reach 400 N/m, which was 376% higher than that of the untreated surface. The research results are expected to facilitate practical applications of APCP modification and PTFE surfaces significantly.

The inconsistency of lithium-ion batteries will seriously affect the performance and safety of the battery pack in series, resulting in a decrease in the available capacity and shortening of the life span of the series battery pack. To alleviate this inconsistency, a double-layer ring-structured equalization topology is proposed, which has the advantages of flexible equalization path and fast equalization speed. In order to further improve the equalization speed and reduce the equalization loss, this paper proposes an equalization strategy based on model predictive control (MPC). By establishing a prediction model and solving the composite optimization objective function, the optimal control strategy is obtained. To verify the feasibility of the proposed equalizer, the simulation study has been carried out in Matlab-Simulink. The simulation results in static operating condition show that, compared with the single-layer Buck-Boost equalizer based on the mean-difference algorithm, the equalization time of the proposed equalizer based on MPC is reduced by 38.15 % and the energy transfer efficiency is increased by 27.25 %. The rationality of the proposed equalizer and equalization strategy is further verified in constant current (CC) charging and New York Bus Cycle (NYBC) discharging operating conditions.

This review paper aims to serve as a comprehensive guide and instructional resource for researchers seeking to effectively implement language models in medical imaging research. First, we presented the fundamental principles and evolution of language models, dedicating particular attention to large language models. We then reviewed the current literature on how language models are being used to improve medical imaging, emphasizing a range of applications such as image captioning, report generation, report classification, findings extraction, visual question response systems, interpretable diagnosis and so on. Notably, the capabilities of ChatGPT were spotlighted for researchers to explore its further applications. Furthermore, we covered the advantageous impacts of accurate and efficient language models in medical imaging analysis, such as the enhancement of clinical workflow efficiency, reduction of diagnostic errors, and assistance of clinicians in providing timely and accurate diagnoses. Overall, our goal is to have better integration of language models with medical imaging, thereby inspiring new ideas and innovations. It is our aspiration that this review can serve as a useful resource for researchers in this field, stimulating continued investigative and innovative pursuits of the application of language models in medical imaging.

Increasing evidence indicates the occurrence of cognitive impairment in astronauts under spaceflight compound conditions, but the underlying mechanisms and countermeasures need to be explored. In this study, we found that learning and memory abilities were significantly reduced in rats under a simulated long-duration spaceflight environment (SLSE), which includes microgravity, isolation confinement, noises, and altered circadian rhythms. Dammarane sapogenins (DS), alkaline hydrolyzed products of ginsenosides, can enhance cognition function by regulating brain neurotransmitter levels and inhibiting SLSE-induced neuronal injury. Bioinformatics combined with experimental verification identified that the PI3K-Akt-mTOR pathway was inhibited and the MAPK pathway was activated during SLSE-induced cognition dysfunction, whereas DS substantially ameliorated the changes in brain. These findings defined the characteristics of SLSE-induced cognitive decline and the mechanisms by which DS improves it. The results provide an effective candidate for improving cognitive function in spaceflight missions.

China’s reform and opening-up policy has brought the country a great development opportunity. The high-speed growth of the economy not only led China to a period of industrialization, urbanization, informatization and agricultural modernization, but also exacerbated the situation of the urban-rural dual structure. Based on the review of current studies, we first used the analytic hierarchy process (AHP) method to evaluate the urban-rural development and transformation level by population transformation index, land transformation index, industrial transformation index and social transformation index between 1996 and 2012 around the Bohai Rim Region. Then, based on the results of each index, we used the exploratory spatial data analysis (ESDA) method to investigate the spatial autocorrelation of the change in the urban-rural development transformation index during the 16-year period using Global Moran’s I index and Local Moran’s I index. Finally, we investigated the mechanism of change of the urban-rural development transformation index at county level, summarizing five main factors: (1) the radiation from the surrounding big cities, (2) the acceleration of the urbanization process, (3) the upgrading of the industrial structure, (4) the publishing and implementation of a macro development strategy and regional policy, and (5) natural factors such as topology.

Transmembrane and coiled-coil domains 1 (TMCO1) is a recently identified Ca2+ leak channel in the endoplasmic reticulum. TMCO1 dysfunction in humans is associated with dysmorphism, mental retardation, glaucoma and the occurrence of cancer. Here we show an essential role of TMCO1 in osteogenesis mediated by local Ca2+/CaMKII signaling in osteoblasts. TMCO1 levels were significantly decreased in bone from both osteoporosis patients and bone-loss mouse models. Tmco1-/- mice exhibited loss of bone mass and altered microarchitecture characteristic of osteoporosis. In the absence of TMCO1, decreased HDAC4 phosphorylation resulted in nuclear enrichment of HADC4, which leads to deacetylation and degradation of RUNX2, the master regulator of osteogenesis. We further demonstrate that TMCO1-mediated Ca2+ leak provides local Ca2+ signals to activate the CaMKII-HDAC4-RUNX2 signaling axis. The establishment of TMCO1 as a pivotal player in osteogenesis uncovers a novel potential therapeutic target for ameliorating osteoporosis.

Interaction between humans and the gut microbiota is important for human physiology. Here, the gut microbiota was analyzed via metagenomic sequencing, and the fluctuations in the gut microbiota under the conditions of spaceflight were characterized. The composition and function of the gut microbiota were substantially affected by spaceflight; however, individual specificity was uncompromised. We further confirmed the species fluctuations and functional genes from both missions. Resistance and virulence genes in the gut microbiota were affected by spaceflight, but the species attributions remained stable. Spaceflight markedly affected the composition and function of the human gut microbiota, implying that the human gut microbiota is sensitive to spaceflight.

The ageing of the rural population and the citizenization of the rural-urban migrated population have brought unprecedented pressure and challenges to Chinese farmers' old-age care. Socialized old-age care services are a necessity to fulfil the service needs of farmers' old-age care. This study examines the farmers' willingness to pay for socialized old-age care and its influencing factors. Based on field survey data, this paper employs the descriptive statistics method and a binary logistic model to determine and analyze the influencing factors of rural residents' willingness to pay for rural socialized old-age care. We observed the following: rural residents generally have a willingness to pay for rural socialized old-age care services but are subject to their own economic conditions, traditional concepts, and external supply conditions. The influencing factors of rural socialized old-age care include the marital status, self-care ability, enrollment in the New Old-Age Insurance System for Rural Residents, proportion of migrating children, health status, and the population living in the same household. The marital status, the enrollment of New Old-Age Insurance System for Rural Residents, and proportion of migrating children have a positive facilitating effect on willingness to pay. The self-care ability, health status, and the number of residents in the same household have a reverse effect. Considering the willingness to pay, the already-old are more affected by the traditional old-age care concept and more dependent on their children. For the not-yet-old, factors that contribute to transferring old-age care responsibilities to themselves and society have become more significant, which contributes to the existing literature.

We developed a new combined method in which quinolinic acid (QA) passivation and DMF solvent annealing are carried out sequentially to enhance the performance of inverted perovskite solar cells. Upon systematic investigation, we found that: 1). One QA molecule not only passivates more than one defects within lattice or neighboring lattices, creating a multi-passivation effect, but also enhances the interactions between lattices, due to pyridine ring and dicarboxylic acid functional groups in the molecule; 2). By combining with DMF solvent annealing post-treatment sequentially, high quality perovskite films with very large grain size over 1 µm are obtained on the substrate of PEDOT: PSS. As a result, the PSC fabricated with the combined method demonstrates an excellent humidity stability and yields a PCE of 18.56% with 20% and 11.6% increment of Voc and Jsc, respectively. To the best of our knowledge, it is the highest reported PCE for inverted PSCs with undoped PEDOT:PSS as hole transporting layer. Therefore, our work indicates that the combined strategy of multi-passivation with QA and solvent annealing with DMF sequentially has a significant potential for highly-efficient and stable inverted planar PSCs.

Lead-based organic-inorganic hybrid perovskites have exhibited great potential in photovoltaics, achieving power conversion efficiencies (PCEs) exceeding 25%. However, the toxicity of lead and the instability of these materials under moist conditions pose significant barriers to large-scale production. To overcome these limitations, researchers have proposed mixed-valence double perovskites, where Cs2AuIAuIIII6 is a particularly effective absorber due to its suitable band gap and high absorptance efficiency. To further extend the scope of these lead-free materials, we varied the trivalent gold ion and halogen anion in Cs2AuIAuIIII6, resulting in 18 new structures with unique properties. Further, using first-principles calculations and elimination criteria, we identified four materials with ideal band gaps, small effective carrier mass, and strong anisotropic optical properties. According to theoretical modeling, Cs2AuSbCl6, Cs2AuInCl6, and Cs2AuBiCl6 are potential candidates for solar cell absorbers, with a spectroscopic limited maximum efficiency (SLME) of approximately 30% in a 0.25 μm-thick film. These three compounds have not been previously reported, and therefore, our work provides new insights into potential materials for solar energy conversion. We aim for this theoretical exploration of novel perovskites to guide future experiments and accelerate the development of high-performance photovoltaic devices.

Single-crystal silicon has been widely applied in the semiconductor industry due to its excellent properties. However, the material is highly susceptible to surface damage during processing because of its high hardness and brittleness, thus restraining manufacturing quality and practical applications. Although methods like ion implantation have been proposed to reduce hardness and improve machinability, the efficiency is relatively low, and cannot achieve real-time adjustment of material properties during machining. In this paper, we propose a high-efficient and environmentally-friendly method to adjust mechanical properties and improve machinability of the single-crystal silicon by atmospheric-pressure cold plasma. According to nanoindentation and single-point diamond scratching experiments, the cold plasma can effectively reduce microhardness and promote deformation of single-crystal silicon. We then investigate the influence mechanism by surface characterizations using transmission electron microscope, X-ray photoelectron spectrometer, and Raman spectrometer, and discover that the cold plasma forms an amorphous silicon oxides layer on the single-crystal silicon surface. Finally, we perform micro-milling experiments with real-time plasma treatment on the single-crystal silicon surfaces to study the effect of the cold plasma on material machinability. The results demonstrate that the cold plasma can significantly improve surface quality, alleviate chip adhesion and prolong tool life. The proposed real-time cold plasma treatment method may have promising application prospects in precision manufacturing of the single-crystal silicon.

Human capital plays an important role in preventing the intergenerational transmission of poverty. The study aims to examine in detail how human capital impacts the intergenerational poverty transmission in China based on nationwide rural household survey. The research results are: (1) the improvement of individual human capital significantly reduces the risk of intergenerational poverty transmission in rural China; (2) in comparison to individual educational level, parents' educational level may not effectively decrease the risk of intergenerational poverty transmission; (3) the impact from human capital on the risk of intergenerational poverty transmission has relatively lower effectiveness on female than male in rural China; (4) human capital of Western China area generates more impact on reducing the risk of intergenerational poverty transmission than that of the central and eastern regions. In approach to improve the role of human capital in preventing intergenerational poverty transmission, the following policy implications should be considered, such as improving the rural education conditions and mechanism, encouraging self-improvement rather than parents dependency, and supporting rural female education.

2,2',7,7'-Tetrakis(N,N-di-p-methoxyphenyl)-amine-9,9'-spirobifluorene (Spiro-OMeTAD) represents the state-of-the-art hole-transporting material (HTM) in n-i-p perovskite solar cells (PSCs). However, its susceptibility to stability issues has been a long-standing concern. In this study, we embark on a comprehensive exploration of the untapped potential within the family of spiro-type HTMs using an innovative anisotropic regulation strategy. Diverging from conventional approaches that can only modify spirobifluorene with single functional group, this approach allows us to independently tailor the two orthogonal components of the spiro-skeleton at the molecular level. The newly designed HTM, SF-MPA-MCz, features enhanced thermal stability, precise energy level alignment, superior film morphology, and optimized interfacial properties when compared to Spiro-OMeTAD, which contribute to a remarkable power conversion efficiency (PCE) of 24.53% for PSCs employing SF-MPA-MCz with substantially improved thermal stability and operational stability. Note that the optimal concentration for SF-MPA-MCz solution is only 30 mg/ml, significantly lower than Spiro-OMeTAD (>70 mg/ml), which could remarkably reduce the cost especially for large-area processing in future commercialization. This work presents a promising avenue for the versatile design of multifunctional HTMs, offering a blueprint for achieving efficient and stable PSCs.

Abstract This paper examines the roles of physical capital, human capital, and social capital in C hina's economic growth during the reform period 1981–2010. Empirical estimation confirms that physical capital and human capital contribute to the economic growth, probably due to the capital accumulation and the improvement of labor productivity. The impact of social capital turns from being insignificant in the 1980s and the 1990s to be positive in the 2000s, suggesting its rising importance in recent decades. A declining role of physical capital in the economic growth in C hina from 1990s to 2000s is also found. The findings hold for several additional robustness checks, including focusing on longer term determinants of the economic growth, subregional analysis, and endogeneity. Furthermore, the foreign direct investment inflows and adjustment of economic ownership structure are also important for economic growth in C hina.

This paper aims to show the importance of land consolidation in transforming the Loess Plateau of China.The paper comprehensively analyzes how over recent decades the Grain for Green Project and Gully Land Consolidation Project jointly transformed the ecology and landscape of the Loess Plateau and the livelihood of its residents.The findings show that these two projects have achieved a balance between green protection, new land creation, and improved food security and livelihood of local people in the hilly areas of China.The paper points out that the successful transformation of the Plateau lies in a holistic approach incorporating various components of the human and natural systems.Finally, the paper highlights the necessity of retaining these two land consolidation projects as part of an ongoing policy in the mountain and hilly areas of China, changing agricultural management to suit the new relationship between humans and the land.

In this study, we selected the stainless-steel mesh as the electrode material, supplemented with conventional power ultrasound in the electrochemical degradation of the chlorpyrifos effluent. The effect of different operating conditions, such as voltage, initial electrolyte concentration, temperature and ultrasonic power were investigated with synthetic effluent to gain the most efficient degradation rate. The best reaction parameters were: voltage of 20 V, electrolyte concentration of 2 mg L−1, ultrasonic power of 200 W, as well as 20 °C, which led to 93.3% and 72.8% of degradation in US-EC and EC system. Applying higher concentrations of electrolyte (sodium sulfate) and higher voltages, the chlorpyrifos solution can be more efficiently degraded with a high synergy of 37%. The degradation of chlorpyrifos followed pseudo-first-order kinetics.

Abstract Objectives Cardiac Ca 2+ signalling plays an essential role in regulating excitation‐contraction coupling and cardiac remodelling. However, the response of cardiomyocytes to simulated microgravity and hypergravity and the effects on Ca 2+ signalling remain unknown. Here, we elucidate the mechanisms underlying the proliferation and remodelling of HL‐1 cardiomyocytes subjected to rotation‐simulated microgravity and 4G hypergravity. Materials and Methods The cardiomyocyte cell line HL‐1 was used in this study. A clinostat and centrifuge were used to study the effects of microgravity and hypergravity, respectively, on cells. Calcium signalling was detected with laser scanning confocal microscopy. Protein and mRNA levels were detected by Western blotting and real‐time PCR, respectively. Wheat germ agglutinin (WGA) staining was used to analyse cell size. Results Our data showed that spontaneous calcium oscillations and cytosolic calcium concentration are both increased in HL‐1 cells after simulated microgravity and 4G hypergravity. Increased cytosolic calcium leads to activation of calmodulin‐dependent protein kinase II/histone deacetylase 4 (CaMKII/HDAC4) signalling and upregulation of the foetal genes ANP and BNP , indicating cardiac remodelling. WGA staining indicated that cell size was decreased following rotation‐simulated microgravity and increased following 4G hypergravity. Moreover, HL‐1 cell proliferation was increased significantly under hypergravity but not rotation‐simulated microgravity. Conclusions Our study demonstrates for the first time that Ca 2+ /CaMKII/HDAC4 signalling plays a pivotal role in myocardial remodelling under rotation‐simulated microgravity and hypergravity.

This study investigates the impact of the New Rural Cooperative Medical Scheme (NRCMS) on rural households to escape poverty. We employ the instrumental variable method, the IVProbit model, to analyze the national data from the rural-resident field survey by the China Family Panel Studies (CFPS) in 2016. Based on the large-scale data, we found that, first, the hospitalization of family members is the key factor in increasing the risk of the family falling into poverty. The NRCMS has significantly reduced the likely risk of falling into poverty. Second, the impact of the NRCMS on poverty alleviation varies among groups with different levels of income. There is no impact on the upper-middle and high-income groups; in contrast, the NRCMS has substantially improved the capacity of low-income rural families to prevent poverty due to illness, especially for the lower-middle-income group. Third, there exist significant regional differences in the impact of NRCMS on the health poverty alleviation of rural households in China. The NRCMS has successfully reduced the risk of rural households in the western region falling into poverty, simultaneously, no significant impact on those in the eastern and central regions. In order to diminish and eliminate poverty eventually and boost rural residents’ capacity for income acquisition, we propose the following: raise the actual compensation ratio of the NRCMS, control the rising expense of NRCMS by promoting the payment method reform, construct the comprehensive healthcare system in the western region, strengthen the medical security for the poor in remote area, and enhance the living environment for rural residents.

There is less than a decade left to accomplish the goal of ending global poverty by 2030. This paper investigates global poverty dynamics and finds a shift in the world’s poverty gravity center from South Asia to Africa in the period 1990–2015. Sub-Saharan Africa has become the main battlefield for poverty reduction in the world. Global poverty reduction has been accompanied by political instability and local conflicts, economic marginalization, rural decline, and natural hazards as well as climate change which are jointly impacting the least developed areas and making the world’s poverty reduction vulnerable to external shocks. The “STAR” scheme, including maintaining political stability, promoting targeted poverty alleviation, implementing regular assessments of poverty reduction initiatives, and revitalizing rural and poverty-stricken areas, is proposed with specific measures to enhance the resilience capacity of poverty alleviation in the world.

We propose a new approach for high resolution semantic image synthesis. It consists of one base image generator and multiple class-specific generators. The base generator generates high quality images based on a segmentation map. To further improve the quality of different objects, we create a bank of Generative Adversarial Networks (GANs) by separately training class-specific models. This has several benefits including – dedicated weights for each class; centrally aligned data for each model; additional training data from other sources, potential of higher resolution and quality; and easy manipulation of a specific object in the scene. Experiments show that our approach can generate high quality images in high resolution while having flexibility of object-level control by using class-specific generators.

Polytetrafluoroethylene (PTFE) has excellent properties and has been widely used in various fields. However, the PTFE surfaces have relatively poor wettability and adhesive property, which restrains their widespread applications. Although atmospheric-pressure plasma jets have been employed to treat the PTFE surfaces, hydrophilization effect and processing efficiency still need to be further improved. In this paper, we propose to add ammonia water into the working gas of the atmospheric-pressure plasma jets to better modify the PTFE surfaces. The influences of ammonia water contents on surface wettability and adhesive property of the PTFE surfaces were investigated by water contact angle (WCA) measurement and peel strength experiments, respectively. When the ammonia water-mixed ratio was 1%, a WCA of ∼19° was obtained after 120 s plasma treatment, which was much lower than that treated by pure helium plasma jet (∼29°) and untreated surface (∼101°). In addition, the adhesive property was also well improved by the ammonia water-mixed plasma jets: peel strength of the sample treated by the ammonia water-mixed plasma jet was respectively 119 N/m and 446 N/m larger than that of the sample treated by pure helium plasma jet and the untreated sample.

The world is facing a poverty crisis. Despite the great achievements that have been made in poverty alleviation over the past two decades, the extent of poverty in countries along the Belt and Road is still high. Successful poverty reduction in these countries is crucial to meeting the 2030 SDGs. Improving governance to eradicate poverty is a shortcoming that needs to be addressed urgently in poverty reduction pathways along the Belt and Road. In this study, the Standard Deviational Ellipse method was used to study the spatial trajectory of the poverty gravity center. Results showed that the poverty gravity center moved from east to west by 87.60 km annually, while the poverty population decreased by 1211.14 million along the Belt and Road from 2000 to 2020. In addition, the trajectory of the center has shifted due to the different effects of poverty reduction. Among the countries situated along the Belt and Road, China is the most significant contributor to poverty reduction. Accordingly, this study examined the implications of China’s successful poverty reduction strategies in order to understand how other countries can effectively respond to poverty. Ultimately, we propose that sustainable poverty alleviation development strategies should be established with the objectives of promoting social equity and improving the wellbeing of all people.

Mechanical force loading is essential for maintaining bone homeostasis, and unloading exposure can lead to bone loss. Osteoclasts are the only bone resorbing cells and play a crucial role in bone remodeling. The molecular mechanisms underlying mechanical stimulation-induced changes in osteoclast function remain to be fully elucidated. Our previous research found Ca2+-activated Cl- channel Anoctamin 1 (Ano1) was an essential regulator for osteoclast function. Here, we report that Ano1 mediates osteoclast responses to mechanical stimulation. In vitro, osteoclast activities are obviously affected by mechanical stress, which is accompanied by the changes of Ano1 levels, intracellular Cl- concentration and Ca2+ downstream signaling. Ano1 knockout or calcium binding mutants blunts the response of osteoclast to mechanical stimulation. In vivo, Ano1 knockout in osteoclast blunts loading induced osteoclast inhibition and unloading induced bone loss and. These results demonstrate that Ano1 plays an important role in mechanical stimulation induced osteoclast activity changes.

Colon polyps are considered important precursors for colorectal cancer. Automatic segmentation of colon polyps can significantly reduce the misdiagnosis of colon cancer and improve physician annotation efficiency. While many methods have been proposed for polyp segmentation, training large-scale segmentation networks with limited colonoscopy data remains a challenge. Recently, the Segment Anything Model (SAM) has recently gained much attention in both natural and medical image segmentation. SAM demonstrates superior performance in several image benchmarks and therefore shows great potential for medical image segmentation. In this study, we propose Poly-SAM, a finetuned SAM model for polyp segmentation, and compare its performance to several state-of-the-art polyp segmentation models. We also compare two transfer learning strategies of SAM with and without finetuning its encoders. Evaluated on five public datasets, our Polyp-SAM achieves state-of-the-art performance on two datasets and impressive performance on three datasets, with dice scores all above 88%. This study demonstrates the great potential of adapting SAM to medical image segmentation tasks. We plan to release the code and model weights for this paper at: https://github.com/ricklisz/Polyp-SAM.

An efficient route is proposed to synthesize a novel three-dimensional (3D) magnetic MXene aerogel (3D MXene/Fe3O4). 3D MXene were synthesized by self-assembly of 2D MXene Ti3C2Tx using ethylenediamine (EDA) as crosslinking inducer, then Fe3O4 was in situ coprecipitation onto 3D MXene. 3D MXene/Fe3O4 was applied as an adsorbent for Ag(I) removal from aqueous solutions. 3D MXene/Fe3O4 exhibits a cross-linked 3D porous network with magnetic Fe3O4 nanoparticles uniformly dispersed on its surface and edges. The maximum adsorption capacity of 3D MXene/Fe3O4 for Ag(I) was 2385 mg g−1. The kinetics and isothermal process during adsorption were described accurately by the pseudo-second-order model and the Freundlich isotherm model, and the adsorption process was driven by chemisorption and multilayer adsorption, where the diffusion mechanism involved surface diffusion and intraparticle diffusion. Furthermore, the 3D MXene/Fe3O4 are recyclable, retaining 71% of the initial removal rate after 5 adsorption/desorption cycles.

With generative models proliferating at a rapid rate, there is a growing need for general purpose fake image detectors. In this work, we first show that the existing paradigm, which consists of training a deep network for real-vs-fake classification, fails to detect fake images from newer breeds of generative models when trained to detect GAN fake images. Upon analysis, we find that the resulting classifier is asymmetrically tuned to detect patterns that make an image fake. The real class becomes a ‘sink’ class holding anything that is not fake, including generated images from models not accessible during training. Building upon this discovery, we propose to perform real-vs-fake classification without learning; i.e., using a feature space not explicitly trained to distinguish real from fake images. We use nearest neighbor and linear probing as instantiations of this idea. When given access to the feature space of a large pretrained vision-language model, the very simple baseline of nearest neighbor classification has surprisingly good generalization ability in detecting fake images from a wide variety of generative models; e.g., it improves upon the SoTA [50] by +15.07 mAP and +25.90% acc when tested on unseen diffusion and autoregressive models. Our code, models, and data can be found at https://github.com/Yuheng-Li/UniversalFakeDetect

Large multimodal models (LMM) have recently shown encouraging progress with visual instruction tuning. In this note, we show that the fully-connected vision-language cross-modal connector in LLaVA is surprisingly powerful and data-efficient. With simple modifications to LLaVA, namely, using CLIP-ViT-L-336px with an MLP projection and adding academic-task-oriented VQA data with simple response formatting prompts, we establish stronger baselines that achieve state-of-the-art across 11 benchmarks. Our final 13B checkpoint uses merely 1.2M publicly available data, and finishes full training in ~1 day on a single 8-A100 node. We hope this can make state-of-the-art LMM research more accessible. Code and model will be publicly available.

Abstract Bone marrow mesenchymal stem cell (BMSC) osteogenic differentiation and osteoblast function play critical roles in bone formation, which is a highly regulated process. Long noncoding RNAs (lncRNAs) perform diverse functions in a variety of biological processes, including BMSC osteogenic differentiation. Although several studies have reported that HOX transcript antisense RNA (HOTAIR) is involved in BMSC osteogenic differentiation, its effect on bone formation in vivo remains unclear. Here, by constructing transgenic mice with BMSC (Prx1-HOTAIR)- and osteoblast (Bglap-HOTAIR)-specific overexpression of HOTAIR, we found that Prx1-HOTAIR and Bglap-HOTAIR transgenic mice show different bone phenotypes in vivo. Specifically, Prx1-HOTAIR mice showed delayed bone formation, while Bglap-HOTAIR mice showed increased bone formation. HOTAIR inhibits BMSC osteogenic differentiation but promotes osteoblast function in vitro. Furthermore, we identified that HOTAIR is mainly located in the nucleus of BMSCs and in the cytoplasm of osteoblasts. HOTAIR displays a nucleocytoplasmic translocation pattern during BMSC osteogenic differentiation. We first identified that the RNA-binding protein human antigen R (HuR) is responsible for HOTAIR nucleocytoplasmic translocation. HOTAIR is essential for osteoblast function, and cytoplasmic HOTAIR binds to miR-214 and acts as a ceRNA to increase Atf4 protein levels and osteoblast function. Bglap-HOTAIR mice, but not Prx1-HOTAIR mice, showed alleviation of bone loss induced by unloading. This study reveals the importance of temporal and spatial regulation of HOTAIR in BMSC osteogenic differentiation and bone formation, which provides new insights into precise regulation as a target for bone loss.

Purpose Urban‐rural interaction in China has evolved over time and presented features in different periods since 1949. The aim of this paper is to measure urban‐rural interaction in China in a 50‐year period from 1958 to 2007, and to see if it bears resemblance to the historical evolution. Design/methodology/approach The paper historically reviews urban‐rural interaction in four periods after 1949. Then, it uses principal component analysis (PCA) and assesses this interaction in the study period. Findings The quantification of urban‐rural interaction bears resemblances to its historical evolution. Reform and opening‐up as well as the rural‐favored policies contribute a lot to the increase of urban‐rural interaction. Originality/value The paper systematically reviews the evolution of urban‐rural interaction in China, and analyzes the features of this interaction in different periods since 1949. It introduces PCA and measures urban‐rural interaction.

This paper examines the impact of institutional change on the implementation of China’s integrated urban-rural development strategy in the period 1981–2010. The findings indicate that governmental investment in rural areas and the development of non-agricultural industries in the countryside in fact contributed positively to the integration of urban-rural development in the period studied. The household registration system, however, was found to have acted as an obstacle to integration due to its exclusion of rural immigrants from welfare benefits. The reform of the agricultural production price system was not found to have exerted an impact, since low agricultural incomes compelled peasants to undertake non-agricultural work in towns and cities. A robustness check performed as part of the study proved the reliability of these findings.

Osteonecrosis of the femoral head, an intractable but common disease that eventually triggers collapse of the femoral head, is characterized by increased osteoclast activity and markedly decreased osteoblast activity in the necrotic region of the femoral head. MicroRNA (miRNA)-214 (miR-214) may play important roles in vertebrate skeletal development by inhibiting osteoblast function by targeting activating transcription factor 4 (ATF4) and promoting osteoclast function via phosphatase and tensin homolog (PTEN). This study revealed significantly increased levels of miR-214 in necrotic regions, with commensurate changes in the numbers of its target cells (both osteoblasts and osteoclasts). To investigate whether targeting miR-214 could prevent femoral head collapse, we constructed an adeno-associated virus (AAV)-associated anti-miR-214 (AAV-anti-miR-214) and evaluated its function in vivo. AAV-anti-miR-214 promoted osteoblast activity and diminished osteoclast activity, effectively preventing collapse of the femoral head in a rat model of osteonecrosis. Osteonecrosis of the femoral head, an intractable but common disease that eventually triggers collapse of the femoral head, is characterized by increased osteoclast activity and markedly decreased osteoblast activity in the necrotic region of the femoral head. MicroRNA (miRNA)-214 (miR-214) may play important roles in vertebrate skeletal development by inhibiting osteoblast function by targeting activating transcription factor 4 (ATF4) and promoting osteoclast function via phosphatase and tensin homolog (PTEN). This study revealed significantly increased levels of miR-214 in necrotic regions, with commensurate changes in the numbers of its target cells (both osteoblasts and osteoclasts). To investigate whether targeting miR-214 could prevent femoral head collapse, we constructed an adeno-associated virus (AAV)-associated anti-miR-214 (AAV-anti-miR-214) and evaluated its function in vivo. AAV-anti-miR-214 promoted osteoblast activity and diminished osteoclast activity, effectively preventing collapse of the femoral head in a rat model of osteonecrosis.

Enhancing rural resilience plays an important role in sustaining rural development when certain rural communities’ decline becomes an inevitable process in the world. The paper evaluates China’s rural resilience and investigates the spatio-temporal differences of rural resilience across the country in the period 2000–2018. Theoretical analysis indicates that rural resilience determines how and to what extent rural communities interact with external challenges. Empirical analysis shows a slight increasing tendency of China’s rural resilience that remains below the median level. Rural resilience in Eastern China, which has a developed economy, is higher than that in Central and Western China. Compared with social resilience and engineering resilience, economic resilience is found to be the key restriction factor to China’s rural resilience in the research period. This is mainly attributed to rural laborers’ outflow to cities. The same findings are also seen in China’s three regions. Policy implication emphasizes the importance of prioritizing rural economic growth to realize China’s rural revitalization strategy.

Unloading-induced bone loss is a critical complication characterized by the imbalance of bone formation and resorption induced by long-term confinement in bed or spaceflight. CD31hiEmcnhi (type H) vessel is a specific subtype of capillary, which was coupled with osteogenesis. However, the change of type H vessel and its contributions to the unloading-induced bone loss remains undisclosed. Herein, we found that bone formation and the number of type H vessels were synchronously reduced in the hindlimb-unloading (HU) mice. Panax quinquefolium saponin (PQS) could increase bone mass, osteoblast function and the number of type H vessels in the HU mice. In vitro, PQS treatment accelerated HMECs migration, augmented the total tube loops and increased the secretion of VEGF and Noggin. Primary osteoblasts function was obviously increased when treated with supernatant from PQS-treated HMECs. These effects of PQS were substantially counteracted when VEGF and Noggin in HMECs were knocked down by siRNA. These results demonstrated that unloading-induced bone loss is coupled with reduction of type H vessels and PQS performs preventive function via promoting type H vessel angiogenesis, which is closely associated with endothelial cell-derived VEGF and Noggin.

Abstract Phosphate rock has great potential value in the application of cut-off walls for heavy metal contaminated sites. The effects of initial concentration of Pb2+, contact time, temperature and pH on the adsorption performance of phosphate rock modified soil-bentonite (PSB) were analyzed by Batch tests, and the microstructure and physicochemical properties of the adsorbent were characterized and analyzed by scanning electron microscopy (SEM), X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FT-IR). The results showed that the incorporation of phosphate rock improves the adsorption performance of the mixed material for Pb2+ in an acidic environment, and the maximum adsorption amount of PSB can be 154% greater than that of soil-bentonite (SB). Kinetic analysis showed that intraparticle diffusion and liquid film diffusion both participate in control of the adsorption process, and the Langmuir model fitted the isothermal adsorption data better. The adsorption process of PSB to Pb2+ is an exothermic reaction process, and a low temperature environment is beneficial to the adsorption of Pb2+. Studies on the microscopic mechanism show that PO43− reacts with Pb2+ in solution to form phosphate precipitation, and –OH and PO43− are on the surface or interlayer of the adsorbent participate in the adsorption process of Pb2+.

Limited by economy and water resource, dry concrete toilet is still widely applied in the developing countries and water-scarce areas because of their low cost and good durability. However, urine and excrement are easily adhered to the dry concrete toilet, releasing bad smell, nourishing bacteria, and spreading diseases, which poses threats to human health and environment safety. Here, a new dry concrete toilet with a slippery surface was developed to mitigate the aforementioned challenges. Micro-scale porous structures, macro-scale grooves, and oil-storage tanks were designed and fabricated to trap and supply enough oil, thus forming a stable slippery oil layer and providing high self-healing ability. The artificial urine and excrement dropped on the slippery concrete toilet spontaneously and easily slid off without water-flushing, even after 13.6 m abrasion with the pressure of 2.0 kPa. Compared with the ordinary surface, bacteria and odor of 5 wt% ammonia water left on the slippery concrete surface were reduced by 64 % and 96 %. More interestingly, the slippery concrete toilet can be endowed with different colors to satisfy the different aesthetic requirements. Therefore, the developed slippery concrete toilet has promising application prospect in maintaining hygiene and reducing the spread of disease in many areas.

The CD44 is cellular surface adhesion molecule that is involved in physiological processes such as hematopoiesis, lymphocyte homing and limb development. It plays an important role in a variety of cellular functions including adhesion, migration, invasion and survival. In bone tissue, CD44 is widely expressed in osteoblasts, osteoclasts and osteocytes. However, the mechanisms underlying its role in bone metabolism remain unclear. We found that CD44 expression was upregulated during osteoclastogenesis. CD44 deficiency in vitro significantly inhibited osteoclast activity and function by regulating the NF-κB/NFATc1-mediated pathway. In vivo, CD44 mRNA levels were significantly upregulated in osteoclasts isolated from the hindlimb of tail-suspended mice. CD44 deficiency can reduce osteoclast activity and counteract cortical bone loss in the hindlimb of unloaded mice. These results suggest that therapeutic inhibition of CD44 may protect from unloading induced bone loss by inhibiting osteoclast activity.

Physiological adaptations to microgravity involve alterations in cardiovascular systems. These adaptations result in cardiac remodeling and orthostatic hypotension. However, the response of the left ventricle (LV) and right ventricle (RV) following hindlimb unloading (HU) and hindlimb reloading (HR) is not clear and the underlying mechanism remains to be understood. In this study, three groups of mice were subjected to HU by tail suspension for 28 days. Following this, two groups were allowed to recover for 7 or 14 days. The control group was treated equally, with the exception of tail suspension. Echocardiography was performed to detect the structure and function changes of heart. Compared with the control, the HU group of mice showed reduced LV-EF (ejection fraction) and LV-FS (fractional shortening). However, mice that were allowed to recover for 7 days after HU (HR-7d) showed increased LVIDs (systolic LV internal diameter) and LV Vols (systolic LV volume). Mice that recovered for 14 days (HR-14d) returned to the normal state. In comparison, RV-EF and RV-FS didn’t recover to the normal conditions till being reloaded for 14 days. Compared with the control, RVIDd (diastolic RV internal diameter) and RV Vold (diastolic RV volume) were reduced in HU group and recovered to the normal conditions in HR-7d and HR-14d groups, in which groups RVIDs (systolic RV internal diameter) and RV Vols (systolic RV volume) were increased. Histological analysis and cardiac remodeling gene expression results indicated that HU induces left and right ventricular remodeling. Western blot demonstrated that the phosphorylation of HDAC4 and ERK1/2 and the ratio of LC3-II / LC3-I, were increased following HU and recovered following HR in both LV and RV, and the phosphorylation of AMPK was inhibited in both LV and RV following HU, but only restored in LV following HR for 14 days. These results indicate that simulated microgravity leads to cardiac remodeling, and the remodeling changes can be reversed. Furthermore, in the early stages of recovery, cardiac remodeling may be intensified. Finally, compared with the LV, the RV is not as easily reversed. Cardiac remodeling pathways, such as, HDAC4, ERK1/2, LC3-II and AMPK were involved in the process.

This paper analyzes the spatial variation in soil erosion in the loess hilly-gully region of northern Shaanxi Province, China. It sums up existing research, describes the factors that drive soil erosion, and uses geodetection to investigate the factors individually and in pairs. Our results show that soil erosion in the loess hilly-gully region of northern Shaanxi is mainly hydraulic erosion. There are significant spatial differences in the severity of soil erosion in the region. Generally, it is more severe in the north and west and less severe in the south and east. Individual factor detection results show that the major risk factors affecting soil erosion are human population distribution, precipitation, land-use type, elevation, and soil type. Interactive detection results show that interacting factors play much bigger roles in soil erosion than do individual factors. Based on forced detection results from different periods of time, we can see that forest and grass coverage, urbanization, and economic development in the study area all clearly inhibit soil erosion.

Spaceflight leads to health risks including bone demineralization, skeletal muscle atrophy, cardiovascular dysfunction, and disorders of almost all physiologic systems. However, the impacts of microgravity on blood lineage cells and hematopoietic stem cells (HSCs) in vivo are largely unknown. In this study, we analyzed peripheral blood samples from 6 astronauts who had participated in spaceflight missions and found significant changes in several cell populations at different time points. These dynamic alterations of lineage cells and the role of HSCs were further studied in a mouse model, using hindlimb unloading (HU) to simulate microgravity. Large reductions in the frequency of NK cells, B cells, and erythrocyte precursors in the bone marrow of the HU mice were observed, together with an increased frequency of T cells, neutrophils, and HSCs. T cell levels recovered faster than those of B cells and erythrocyte precursors, whereas the recovery rates of NK cells and granulocytes were slow. In addition, competitive reconstitution experiments demonstrated the impaired function of HSCs, although these changes were reversible. Deep sequencing showed changes in the expression of regulatory molecules important for the differentiation of HSCs. This study provides the first determination of altered HSC function under simulated microgravity in vivo. The impairment of HSC function and differentiation provides an explanation for the immune disorders that occur under simulated microgravity. Thus, our findings demonstrated that spaceflight and simulated microgravity disrupt the homeostasis of immune system and cause dynamic alterations on both HSCs and lineage cells.-Cao, D., Song, J., Ling, S., Niu, S., Lu, L., Cui, Z., Li, Y., Hao, S., Zhong, G., Qi, Z., Sun, W., Yuan, X., Li, H., Zhao, D., Jin, X., Liu, C., Wu, X., Kan, G., Cao, H., Kang, Y., Yu, S., Li, Y. Hematopoietic stem cells and lineage cells undergo dynamic alterations under microgravity and recovery conditions.

Eco-environmental sustainability is the basis for sustainable development in ecologically fragile areas. Land consolidation plays an important role in coordinating human-land relationships and achieving economic growth and eco-environment protection. Taking the Loess Plateau as the study area, this paper diagnoses the associated eco-environmental problems and their chain effect. The research results show that the overall eco-environment of the region is still relatively fragile. An eco-environment multi-subject co-management model, a scale-differentiated management model, and an elements comprehensive management model are proposed to improve the eco-environmental management efficiency after implementing land consolidation in the plateau. This paper takes the Gully Land Consolidation Project in Baota district of Yan'an city in Shaanxi province as an example to illustrate the relationship between land consolidation and eco-environmental sustainability in the Loess Plateau. Policy implications for eco-environmental protection in the Loess Plateau are proposed.

Object detection and grasp detection are essential for unmanned systems working in cluttered real-world environments. Detecting grasp configurations for each object in the scene would enable reasoning manipulations. However, finding the relationships between objects and grasp configurations is still a challenging problem. To achieve this, we propose a novel neural learning approach, namely SOGD, to predict a best grasp configuration for each detected objects from an RGB-D image. The cluttered background is first filtered out via a 3D-plane-based approach. Then two separate branches are designed to detect objects and grasp candidates, respectively. The relationship between object proposals and grasp candidates are learned by an additional alignment module. A series of experiments are conducted on two public datasets (Cornell Grasp Dataset and Jacquard Dataset) and the results demonstrate the superior performance of our SOGD against SOTA methods in predicting reasonable grasp configurations "from a cluttered scene."

In this paper, we aimed to provide a review and tutorial for researchers in the field of medical imaging using language models to improve their tasks at hand. We began by providing an overview of the history and concepts of language models, with a special focus on large language models. We then reviewed the current literature on how language models are being used to improve medical imaging, emphasizing different applications such as image captioning, report generation, report classification, finding extraction, visual question answering, interpretable diagnosis, and more for various modalities and organs. The ChatGPT was specially highlighted for researchers to explore more potential applications. We covered the potential benefits of accurate and efficient language models for medical imaging analysis, including improving clinical workflow efficiency, reducing diagnostic errors, and assisting healthcare professionals in providing timely and accurate diagnoses. Overall, our goal was to bridge the gap between language models and medical imaging and inspire new ideas and innovations in this exciting area of research. We hope that this review paper will serve as a useful resource for researchers in this field and encourage further exploration of the possibilities of language models in medical imaging.