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Following a burgeoning literature on private actors under digital authoritarianism, this study aims to understand the role played by social media users in sustaining authoritarian rule. It examines a subcultural community—the queer-fantasy community—on Chinese social media to expound how members of this community interpreted China's censorship policy, interacted based on the interpretation, and participated in censorship. Integrating structural topic modeling and emergent coding, this study finds that a political environment of uncertainty fostered divergent imaginaries about censorship. These imaginaries encouraged participatory censorship within the online community, which strengthened the political control of the Internet in the absence of the state. This study illuminates how participatory censorship works, especially in non-professional and non-politically mobilized online communities. With a focus on social media users, it also offers a lens for future research to compare peer-based surveillance and content moderation in authoritarian and democratic contexts. [ABSTRACT FROM AUTHOR]

Measuring the orientation, mass and body length of migratory insects through entomological radar is crucial for early warnings of migratory pests. The fully polarized entomological radar is an efficient device for observing migratory insects by calculating insect parameters through the scattering matrix obtained from the target. However, the measured target scattering matrix will be affected by system polarization measurement errors, leading to errors in insect parameter calculation, while the related analysis is currently relatively limited. Therefore, the scattering matrix measurement process is modeled, followed by an analysis of the effects of different errors on orientation, mass and body length estimation. The influence of polarization measurement errors on insect scattering characteristics is also analyzed. The results present that for fixed polarization measurement errors, the measurement errors of insect orientation, mass and body length will vary with insect orientation in specific patterns, and the distribution of measured insect parameters will be drastically distorted compared to the true parameter distribution. In addition, polarization measurement errors could seriously disrupt the reciprocity and bilateral symmetry of the measured insect scattering matrix. These analyses and conclusions provide a good basis for eliminating the effects of polarization measurement errors and improving the accuracy of insect parameter measurement. [ABSTRACT FROM AUTHOR]

Biochar is widely used as a soil amendment in green roofs because it can increase the soil's water-holding capacity, inhibit cracking, and provide nutrients for vegetation. The interaction mechanism between biochar and expansive soil is a significant factor in the performance of green roofs. However, research mainly focused on the hydrological scale (i.e. runoff regulation and rainwater storage), and there is a lack of research on the hydrological properties (i.e. hysteresis of soil–water characteristic curves, changes in soil pore size and pore distribution, formation and development of cracks and swelling–shrinking characteristics) of biochar-amended expansive soils under dynamic water environment. This test was conducted out on soil columns with expansive soil and 5% (by mass) biochar-amended under 5 drying–wetting cycles. The results showed that within the range of water content suitable for plant growth (i.e. between the anaerobic point and wilting point), the hysteresis area of soil–water characteristic curves of the amended soil is smaller than the bare soil at each drying–wetting cycle. The addition of biochar changes the pore size distribution of the soil, reduces the pore size and swelling–shrinking characteristics of the expansive soil, and inhibits the development of cracks. Therefore, the addition of biochar significantly attenuates the hysteresis characteristics of the soil–water characteristic curves of expansive soils, which may improve the stability of the hydraulic performance of green roofs. The results contribute to the understanding of the physicochemical and water properties of biochar-amended expansive soil and provide theoretical support for the application of biochar to green roofs. [ABSTRACT FROM AUTHOR]

This paper improves the performance of the model by Graph Convolutional Network (GCN) and Firefly Algorithm (FA) to optimize the financial investment risk prediction model. It studies the application of GCN in financial investment risk prediction model and elaborates on the role of FA in the model. To further improve the accuracy of the prediction model, this paper optimizes and improves the FA and verifies the effectiveness of the optimized model through experiments. Experimental results show that the optimized model performs well in feature selection, and the optimal accuracy of feature selection reaches 91.9%, which is much higher than that of traditional models. Meanwhile, in the analysis of the number of iterations of the model, the performance of the optimized algorithm gradually tends to be stable. When the number of iterations is 30, the optimal value is found. In the simulation experiment, when an unexpected accident occurs, the prediction accuracy of the model decreases, but the prediction performance of the optimized algorithm proposed here is significantly higher than that of the traditional model. In conclusion, the optimized model has high accuracy and reliability in financial investment risk prediction, which provides strong support for financial investment decision-making. This paper has certain reference significance for the optimization of financial investment risk prediction model. [ABSTRACT FROM AUTHOR]

Conditional Generative Adversarial Networks (cGANs) have enabled controllable image synthesis for many vision and graphics applications. However, recent cGANs are 1-2 orders of magnitude more compute-intensive than modern recognition CNNs. For example, GauGAN consumes 281G MACs per image, compared to 0.44G MACs for MobileNet-v3, making it difficult for interactive deployment. In this work, we propose a general-purpose compression framework for reducing the inference time and model size of the generator in cGANs. Directly applying existing compression methods yields poor performance due to the difficulty of GAN training and the differences in generator architectures. We address these challenges in two ways. First, to stabilize GAN training, we transfer knowledge of multiple intermediate representations of the original model to its compressed model and unify unpaired and paired learning. Second, instead of reusing existing CNN designs, our method finds efficient architectures via neural architecture search. To accelerate the search process, we decouple the model training and search via weight sharing. Experiments demonstrate the effectiveness of our method across different supervision settings, network architectures, and learning methods. Without losing image quality, we reduce the computation of CycleGAN by 21×, Pix2pix by 12×, MUNIT by 29×, and GauGAN by 9×, paving the way for interactive image synthesis. [ABSTRACT FROM AUTHOR]

Conditional Generative Adversarial Networks (cGANs) have enabled controllable image synthesis for many vision and graphics applications. However, recent cGANs are 1-2 orders of magnitude more compute-intensive than modern recognition CNNs. For example, GauGAN consumes 281G MACs per image, compared to 0.44G MACs for MobileNet-v3, making it difficult for interactive deployment. In this work, we propose a general-purpose compression framework for reducing the inference time and model size of the generator in cGANs. Directly applying existing compression methods yields poor performance due to the difficulty of GAN training and the differences in generator architectures. We address these challenges in two ways. First, to stabilize GAN training, we transfer knowledge of multiple intermediate representations of the original model to its compressed model and unify unpaired and paired learning. Second, instead of reusing existing CNN designs, our method finds efficient architectures via neural architecture search. To accelerate the search process, we decouple the model training and search via weight sharing. Experiments demonstrate the effectiveness of our method across different supervision settings, network architectures, and learning methods. Without losing image quality, we reduce the computation of CycleGAN by 21×, Pix2pix by 12×, MUNIT by 29×, and GauGAN by 9×, paving the way for interactive image synthesis. [ABSTRACT FROM AUTHOR]

Entomological radar is a specially designed instrument that can measure the behavioral and biological characteristics of high-altitude migrating insects. Its application is of great significance for the monitoring, early warning, and control of agricultural pests. As an important component of the local migratory biomass, insects fly in the air during the day and night. The fully polarimetric entomological radar was carefully designed with all-day, all-weather, and multi-function measurement capabilities. The fully polarimetric entomological radar measures the mass of a single insect based on the radar cross-sectional (RCS) measurement and then calculates the biomass of migrating insects. Therefore, the measurement accuracy of the insect RCS is the key indicator affecting the accuracy of migratory biomass statistics. Due to the radar's lack of in-beam angle measurement ability, the insect RCS is usually measured based on the assumption that the insect is on the beam center. Therefore, the measured RCS will be smaller than true value if the insect deviates from the beam center due to the gain curve of the antenna. This leads to measurement errors in regard to the insect mass and migratory biomass. In order to solve this problem, a biomass estimation method, reported in this paper, was designed under the assumption of a uniform distribution of migrating insects in the radar monitoring airspace. This method can estimate the individual RCS expectation of migrating insects through a statistical method without measuring the position of the insects in the beam and then obtain the migratory biomass. The effectiveness of the model and algorithm is verified by simulations and entomological radar field measurements. [ABSTRACT FROM AUTHOR]

Simple Summary: p53 isoforms have been reported in various tumor types. Both p53β and p53γ were recently reported to retain functionalities of full-length p53α. A role for p53 and p53 loss in cholesterol metabolism has also emerged. We show that SMG1, a phosphatidylinositol 3-kinase-related kinase, when inhibited in p53 wild-type MCF7 and HepG2 cells, significantly alters the expression of cholesterol pathway genes, with a net increase in intracellular cholesterol and an increased sensitivity to Fatostatin in MCF7. We confirm a prior report that SMG1 inhibition in MCF7 cells promotes expression of p53β and show the first evidence for increases in p53γ. Further, induced p53β expression, confirmed with antibody, explained the loss of SMG1 upregulation of the ABCA1 cholesterol exporter where p53γ had no effect on ABCA1. Additionally, upregulation of ABCA1 upon SMG1 knockdown was independent of upregulation of nonsense-mediated decay target RASSF1C, previously suggested to regulate ABCA1 via a "RASSF1C-miR33a-ABCA1" axis. SMG1, a phosphatidylinositol 3-kinase-related kinase (PIKK), essential in nonsense-mediated RNA decay (NMD), also regulates p53, including the alternative splicing of p53 isoforms reported to retain p53 functions. We confirm that SMG1 inhibition in MCF7 tumor cells induces p53β and show p53γ increase. Inhibiting SMG1, but not UPF1 (a core factor in NMD), upregulated several cholesterol pathway genes. SMG1 knockdown significantly increased ABCA1, a cholesterol efflux pump shown to be positively regulated by full-length p53 (p53α). An investigation of RASSF1C, an NMD target, increased following SMG1 inhibition and reported to inhibit miR-33a-5p, a canonical ABCA1-inhibiting miRNA, did not explain the ABCA1 results. ABCA1 upregulation following SMG1 knockdown was inhibited by p53β siRNA with greatest inhibition when p53α and p53β were jointly suppressed, while p53γ siRNA had no effect. In contrast, increased expression of MVD, a cholesterol synthesis gene upregulated in p53 deficient backgrounds, was sensitive to combined targeting of p53α and p53γ. Phenotypically, we observed increased intracellular cholesterol and enhanced sensitivity of MCF7 to growth inhibitory effects of cholesterol-lowering Fatostatin following SMG1 inhibition. Our results suggest deregulation of cholesterol pathway genes following SMG1 knockdown may involve alternative p53 programming, possibly resulting from differential effects of p53 isoforms on cholesterol gene expression. [ABSTRACT FROM AUTHOR]

Polarization information can greatly improve the ability of detection, parameter retrieval, and classification for entomological radar. In recent, the instantaneous fully polarimetric measurement technique is used in entomological radar, so as to relax the restriction of invariant orientation during observation compared to the typical vertical-looking radar with linear-polarized rotation configuration. However, the fully polarimetric measurement is based on a multichannels’ radar system, and the imbalance and crosstalk between channels, namely, polarimetric errors, will severely affect the measurement of the polarimetric scattering matrix (PSM). Thus, polarimetric calibration is essential to obtain the accurate polarization information of targets. In contrast to inefficient and manual calibration methods, a data-driven polarimetric calibration method is proposed based on the assumption of reciprocity and bilateral symmetry of insects in this article. The polarimetric errors are elaborately decomposed into two components, which could be estimated by reciprocity and bilateral symmetry, respectively. In addition, because the proposed method is data-driven, the calibration process could be automatically executed to compensate for the temporal-variant polarimetric errors induced by temperature change and, thus, suitable for the long-term operation of entomological radar. Simulations and experiments are carried out to evaluate the performance of the proposed calibration method. Results show that it could achieve high accuracy when the number of insects used as calibrators is large enough. The proposed method has been applied in Ku-band high-resolution fully polarimetric entomological radars for cross-border migratory insect observation in Yunnan province, China. [ABSTRACT FROM AUTHOR]

Measuring migration flux with entomological radar is of great importance to assess the biomass of migratory insects and study the influence of insects on the ecosystem. However, the migration flux is measured with a large quantity of errors for the entomological radar without the ability of in-beam angle measurement, because the insect RCS is measured with the assumption that the insect flies over the beam center. When the insect does not pass through the beam center, the measured RCS is less than the true value. To improve the estimation accuracy of migration flux, a new estimation method of migration flux based on statistical hypothesis is proposed for radars working in the fixed-beam vertical-looking mode. This method avoids the RCS measurement error caused by the offset of the insect trajectory to the radar beam center by assuming that the insect flight trajectory is evenly distributed in the beam and calculating the average value of flux. This method is extended to be used in fixed-beam arbitrary pointing mode and a new proposed scanning mode. The effectiveness of the proposed method is verified by simulations and migration insect data measured by a radar. [ABSTRACT FROM AUTHOR]

For entomological radar, the polarization information of the target is usually used to estimate the biological parameters, such as orientation, body length, and mass, of the insect. Thus, the accuracy of polarization measurement directly affects the performance of the biological parameters' estimation. The polarization measurement error is mainly caused by the imbalance of amplitude and phase between two polarization channels and the crosstalk of the dual-polarization antenna. In order to obtain the correct polarization information of the target, the polarimetric calibration of the entomological radar is required. This paper proposes a new polarimetric calibration technique based on antenna rotation, which does not require the calibrator to have a specific polarization scattering matrix (PSM). Compared with the currently existing calibration techniques, no prior knowledge of the calibrator PSM is required (in fact, any fixed-point target can be used as a calibrator); thus, the errors introduced by the mechanical process can be avoided. Simulations and data measured by radar verify the effectiveness of the method. This method has the potential to be extended to other fully polarimetric radar systems in the future, such as fully polarimetric weather radar, fully polarimetric synthetic aperture radar (SAR), and so on. [ABSTRACT FROM AUTHOR]

Process analytical technology (PAT) plays a crucial role in optimizing crystalline powder product qualities, improving process stability, and reducing experimental costs by enabling real-time monitoring and control of process variables during the crystallization process. In-situ process imaging and analysis have gained significant attention due to their capacity to provide abundant information through images, leading to remarkable advancements in image processing technology, particularly with the support of artificial intelligence. However, the performance suffers when processing high-density slurry images due to challenges such as defocusing, overlapping, background and crystal edges blurriness, and inconsistencies in crystal scales. To address these challenges and explore research strategies based on deep learning for segmenting and analyzing high slurry density images effectively, this study constructed a specific dataset that contains high-density slurry crystal images which is well-labeled, and introduced state-of-the-art neural networks including YOLOv8, U2-net, and Mask R-CNN combined with image and data enhancement strategies. Comparative analysis revealed that YOLOv8 outperformed Mask R-CNN and U2-net by capturing multi-dimensional information in high-density crystal slurry scenarios. Finally, based on the segmentation results of the practical taurine crystallization process using proposed strategy, 1D crystal size, aspect ratio along with 2D size distributions were extracted for further evaluation of crystallization kinetics and crystal properties accurately and quickly. [Display omitted] • In-situ crystal micrograph of high slurry density image database was conducted. • The state-of-the-art networks were introduced to high-density scenarios. • High-density images were segmented in higher accuracy. • Multi-dimensional information was extracted more accurately using proposed deep-learning strategy. [ABSTRACT FROM AUTHOR]

Purpose: This study aimed to systematically present application situation and therapeutic effect of proton therapy (PT), heavy ion therapy, and helical tomotherapy (TOMO) for gastric cancer (GC), and to find gaps of existing studies. Methods: PubMed, EMBASE, the Cochrane Library, Web of Science, and Chinese Biological Medical Database were searched. Tables, bubble plot, and heat map were conducted to display results. Results: Fourteen studies were included. About PT, 7 single-arm studies showed median overall survival (OS) within 2–66 months and 1 study reported 40% of patients happened moderate degree of radiation gastritis. About TOMO, 1 study reported longer median OS and progression-free survival, lower occurrence of Grade III toxicity, and late toxicity compared to 3D-CRT, while another study remained neutral. About heavy ion therapy, there was no clinical study was found. Conclusions: Existing studies presented good clinic treatment effect about PT and TOMO for GC, and furthermore clinical studies are needed. [ABSTRACT FROM AUTHOR]

The article focuses on proposing an efficient architecture, SMLP4Rec, for sequential recommendations, addressing issues in existing self-attention models and MLP4Rec. Topics include changing the cascading structure to parallel mode, integrating normalization layers for efficiency, and improving training speed and prediction accuracy compared to MLP4Rec.

Despite the recent surge in scholarly attention to anti‐Asian racism, what is largely missing in this growing body of literature is a bridge connecting studies on this subject to the broader field of race and ethnicity studies. In this special issue, we propose to use the concept of transculturality, which is defined as the process of cultural interaction, interpenetration, and hybridization that transcends the traditional borders of individual cultures, to establish this connection. In this introductory article, we first critically review the concepts of culture, interculturality, and multiculturality in the studies of race and ethnicity. Upon this review, we explain how transculturality advances the knowledge of racial and ethnic identity, ideas, and practices. This introduction concludes with an overview of each contribution, setting the stage for a comprehensive exploration of this complex and multifaceted issue. Collectively, this special issue aims to not only provide theoretical and empirical insights into the transculturality of anti‐Asian racism but also build a bridge between the studies of the Asian diaspora and the general research on race and ethnicity. [ABSTRACT FROM AUTHOR]

The Channa argus (C. argus), an important cultured freshwater species, is widely distributed in China, which possesses the characteristic of high disease resistance. However, the information on genomic and transcriptomic studies on disease resistance of this species is not available at present. To address the shortfall and to better understand snakehead immune response to pathogen infection at molecular level, the C. argus were challenged with potent Aeromonas veronii (A. veronii) for 24 h and the high-throughput RNA sequencing (RNA-seq) technology was employed to produce transcriptomes from the liver. Firstly, the serum parameters were significantly changed after Aeromonas veronii infection for 24 h compared with the control group. Thus, an average of 326,557,262 clean reads obtained were de novo assembled into 157,766 unigenes with most of the unigenes between 201 and 500 bp. All of unigenes were annotated to six public databases (Nr, Swiss-Prot, COG, GO, KEGG, and Pfam). A total of 21,217 differentially expressed unigenes (DEGs) were identified. The 21,217 DEGs were significantly enriched in 16 pathways related to the immune or disease. Finally, the expression levels of six selected immune-related DEGs were scrutinized. Three genes encoding TNF-α, IL-1β, and Bcl2 were significantly upregulated, whereas the gene encoding MyD88, NOD-1, and NOD-2 was significantly downregulated. In summary, this study provides valuable transcriptome resource for understanding the defense mechanisms of C. argus in resistance to pathogens from the gene expression viewpoint, which also open up the possibility to study the immune complexity and to better comprehend the interrelationships between some immune pathways in C. argus. [ABSTRACT FROM AUTHOR]

Lead is mostly found with zinc ores, but is also abundant in fossil fuels. However, the anthropogenic cycle of lead in fossil fuel system has rarely been reported. This study expounds on the evolution of lead metabolism in China's fossil fuel system from 1980 to 2018 through dynamic substance flow analysis. The quantities and structures of lead flows and stocks in the system changed significantly. After the prohibition of leaded gasoline, raw coal became the main source of lead in the system, reaching 101 kt Pb/yr in 2018. The lead outflow of the system underwent a transformation from gas phase to solid phase. The atmospheric lead emission dropped from the highest 20 kt/yr to 4 kt/yr. Most of the lead in the system accumulated in coal-based solid waste. In the past 40 years, 677 kt of lead accumulated in constructions due to the utilization of coal-based solid waste, and 657 kt of lead was left in the redundant coal-based solid waste. The main lead emission stage gradually shifted from the use stage to the waste management stage. Although the flow of lead in fossil fuels is small, there is no significant difference between unintentional (consider only fossil fuels) and intentional use of lead emissions to the atmosphere and landfills. China should improve the utilization of coal-based solid waste, and strengthen the management of landfills and dumps and the surrounding environmental monitoring. • Lead flows and stocks in China's fossil fuel system were analyzed for the first time. • Lead releases shifted from the use to the waste management of fossil fuels. • Waste utilization accumulated lead in constructions and slowed lead release. • Coal-based solid waste in landfills and dumps accumulated a large amount of lead. • Fossil fuel system and intentional use of lead release similar amounts of lead. [ABSTRACT FROM AUTHOR]

The current period of disruptive social change is inextricably bound up with new means and modes of communication, information, and media streams. The Communication, Information Technologies & Media Sociology section of the American Sociological Association (CITAMS) locates these factors at the center of our collective interests, investigating them through a plethora of methods, theories, and empirical cases. Each year, CITAMS runs a special issue in ICS showcasing select works presented at the previous year's American Sociological Association conference and the affiliated Media Sociology preconference. Papers in the 2022 CITAMS Special Issue reflect a social context defined by a prolonged global pandemic and wrought by democratic uncertainty. Across these social circumstances, technology and media loom large. Simultaneously, everyday life continues and classic CITAMS scholarship sustains relevance for the ways people interact, construct identity, consume, and mobilize. All of this and more are contained in the pages of this year's Special Issue, from which readers can get a sense of what CITAMS has to offer and consider how their own work may fit within the broad CITAMS umbrella. [ABSTRACT FROM AUTHOR]

• Explore large deformation behaviors of layered rock tunnels under groundwater. • Experimental tests on mechanical behaviors of layered carbonaceous shales. • Groundwater effects on tunnel deformation and support responses are studied. • Analyze saturated softening effect by numerical simulations and field tests. • Large deformation and unsymmetrical load are alleviated by asymmetric rockbolts. Deep-buried tunnels constructed through layered soft rocks undergo large deformation, which threatens their safety and leads to construction delay. When a soft rock tunnel is excavated below the water table, the rock mass will deteriorate due to the presence of groundwater, aggravating the large deformation issue. In this work, the Baozhen tunnel excavated in layered carbonaceous shale was taken as a case study to investigate the mechanical behavior and support countermeasures of deep-buried tunnels with a high geostress considering the effect of groundwater. First, laboratory tests were performed to study the groundwater effect on the mechanical properties of the shale. Subsequently, the geological and large deformation characteristics of selected study areas using the original support scheme were analyzed. Using the tested constitutive parameters combined with the field-monitored deformation, a UDEC numerical model was established to investigate the tunnel deformation behavior under different bedding angles, groundwater depths, and shear stresses. Finally, the optimized support scheme was verified through numerical and on-site monitoring results. The tunnel responses at three typical monitoring cross-sections, such as the deformation distribution and normal pressures acting on the primary support and secondary lining, were compared to investigate the effect of groundwater and the optimized support scheme on the tunnel responses. An asymmetric large deformation was induced by the combined action of the soft layered rock and shearing action under the effect of groundwater. The groundwater reduced the rock strength and increased the tunnel deformation, and it also strengthened the unsymmetrical loading effect, which was reflected in the distributions of the tunnel deformation and support pressures. As a countermeasure, asymmetrically arranged rockbolts could help reduce the full-ring tunnel deformation and support pressure by 50.3 % and 22 %, respectively, which could also alleviate the unsymmetrical loading effect, thus enhancing the synergistic performance of the support structures. The insights gained in this study can help improve the effectiveness of countermeasures against layered rock instability while tunneling in the presence of groundwater. [ABSTRACT FROM AUTHOR]

Abstract Neoantigens are mutation-containing immunogenic peptides from tumor cells. Neoantigen intrinsic features are neoantigens' sequence-associated features characterized by different amino acid descriptors and physical–chemical properties, which have a crucial function in prioritization of neoantigens with immunogenic potentials and predicting patients with better survival. Different intrinsic features might have functions to varying degrees in evaluating neoantigens' potentials of immunogenicity. Identification and comparison of intrinsic features among neoantigens are particularly important for developing neoantigen-based personalized immunotherapy. However, there is still no public repository to host the intrinsic features of neoantigens. Therefore, we developed GNIFdb, a glioma neoantigen intrinsic feature database specifically designed for hosting, exploring and visualizing neoantigen and intrinsic features. The database provides a comprehensive repository of computationally predicted Human leukocyte antigen class I (HLA-I) restricted neoantigens and their intrinsic features; a systematic annotation of neoantigens including sequence, neoantigen-associated mutation, gene expression, glioma prognosis, HLA-I subtype and binding affinity between neoantigens and HLA-I; and a genome browser to visualize them in an interactive manner. It represents a valuable resource for the neoantigen research community and is publicly available at http://www.oncoimmunobank.cn/index.php. Database URL http://www.oncoimmunobank.cn/index.php [ABSTRACT FROM AUTHOR]

The pursuit of an advanced functional coating that simultaneously combines high hardness, wear resistance, and superior electrical conductivity has remained an elusive goal in the field of copper alloy surface enhancement. Traditional solid solution alloying methods often lead to a significant increase in electron scattering, resulting in a notable reduction in electrical conductivity, making it challenging to achieve a balance between high hardness, wear resistance, and high conductivity. The key lies in identifying a suitable microstructure where dislocation motion is effectively hindered while minimizing the scattering of conductive electrons. In this study, a novel Cu-MoSi2 coating was successfully fabricated on a CuCrZr alloy surface using the coaxial powder feeding high-speed laser cladding technique, with the addition of 10–30% MoSi2 particles. The coating significantly enhances the hardness and wear resistance of the copper substrate while maintaining favorable electrical conductivity. As the quantity of MoSi2 particles increases, the coating's hardness and wear resistance gradually improve, with minimal variance in conductivity. Among the coatings, the Cu-30%MoSi2 coating stands out with the highest hardness (974.5 HV0.5) and the lowest wear amount (0.062 mg/km), approximately 15 times the hardness of the copper base material (65 HV0.5) and only 0.45% of the wear amount (13.71 mg/km). Additionally, the coating exhibits a resistivity of 0.173 × 10−6 Ω·m. The extraordinary hardness and wear resistance of these coatings can be attributed to the dispersion strengthening effect of MoxSiy particles, while the high electrical conductivity is due to the low silicon content dissolved into the copper from the released MoSi2 particles, as well as the rapid cooling rates associated with the high-speed laser cladding process. [ABSTRACT FROM AUTHOR]

Large deformation is a crucial factor in deep-buried tunnels constructed through soft rocks with a high geostress. Taking the deep-buried Baozhen tunnel through layered shale as an example, this study investigated its large deformation characteristics and the support countermeasures. Two study sections located in horizontally bedded carbonaceous shale and inclined bedded arenaceous shale were considered. First, the large deformation characteristics of normal sections were explored. Subsequently, a series of laboratory tests were conducted to investigate the mechanical properties and failure behavior of the shales in these sections. Based on the tested constitutive parameters considering the contact properties, the feasibility of optimization schemes related to the two sections was verified using the UDEC numerical software. Finally, the field monitoring results from the test sections, including the tunnel convergence, deep deformation, surrounding rock pressure and normal pressure on the secondary lining, were presented to further investigate the control effects of the optimization schemes. Both the numerical simulation and field monitoring results showed that the asymmetrically large deformation of the Baozhen tunnel could be attributed to the combined effect of the layered soft rock and the shear stress under high geostress. The invert rockbolts not only prevented the invert arch from heaving, but also helped reduce the global convergence of the tunnel. Tunneling through inclined bedded rocks was associated with a significant unsymmetrical-loading effect, and an asymmetric arrangement of the rockbolts could effectively deal with this issue; thus, the normal pressures acting on the surface of the support structures were more uniformly distributed. The research results provide references for the support design of deep-buried tunnels in layered rock masses. Highlights: Large deformation characteristics of Baozhen tunnel are explored. Failure behavior of layered shales is investigated. Effect of inverted rockbolts on tunnel deformation is demonstrated. Asymmetric rockbolt arrangement is effective in inclined bedded rock. [ABSTRACT FROM AUTHOR]

A cold spray–laser cladding composite gradient coating (CLGC) was successfully formed on a Cu substrate. In comparison with traditional laser cladding gradient coatings (LGC), cold spraying the pre-set Ni-Cu alloy's intermediate transition layer not only mitigates the negative impacts due to the high reflectivity of the copper substrate but also helps to minimize the difference in the coefficients of thermal expansion (CTE) between the substrate and coating. This reduces the overall crack sensitivity and improves the cladding quality of the coating. Besides this, the uniform distribution of hard phases in CLGC, such as Ni11Si12 and Mo5Si3, greatly increases its microhardness compared to the Cu substrate, thus resulting in the value of 478.8 HV0.5 being approximately 8 times that of the Cu substrate. The friction coefficient of CLGC is lowered compared to both the Cu substrate and LGC with respective values of 0.28, 0.54, and 0.43, and its wear rate is only one-third of the Cu substrate's. These results suggest CLGC has excellent anti-wear properties. In addition, the wear mechanism was determined from the microscopic morphology and element distribution and was found to be oxidative and abrasive. This approach combines cold spraying and laser cladding to form a nickel-based gradient coating on a Cu substrate without cracks, holes, or other faults, thus improving the wear resistance of the Cu substrate and improving its usability. [ABSTRACT FROM AUTHOR]

The prevalence of nonalcoholic fatty liver disease (NAFLD) has been steadily increasing, and it has become one of the most prevalent chronic liver diseases worldwide. Recent studies have shown that dihydromyricetin (DHM) is influential in treating NAFLD. The purpose of this review was to describe how DHM prevents and treats NAFLD and its potential mechanisms through an in-depth summary of preclinical in vitro and in vivo studies. A brief overview of DHM's potential role in NAFLD involves regulation of lipid/glucose metabolism, possibly via anti-inflammatory or sirtuin-dependent mechanisms. For NAFLD, there is currently no effective and approved medication for therapy. DHM has the characteristics of liver protection, antioxidation, anti-inflammatory and apoptosis-regulatory benefits, which provides a new idea for the treatment of NAFLD. With the increasing interest in utilizing natural products to prevent and control liver diseases, our work aims to provide new ideas for the treatment of NAFLD and accelerate its translation from bench to bedside. [ABSTRACT FROM AUTHOR]

[Display omitted] • A novel Bi doped TiO 2 /C nanofibers (TiO 2 -Bi/CNFs) nanofibers are prepared. • The electrode exhibits the excellent stability of TiO 2 and the high capacity of Bi. Novel Bi-doped TiO 2 /C nanofibers (TiO 2 -Bi/CNFs) were fabricated using electrospinning combined with a consequent thermal treatment. When used as an active anode material for sodium-ion batteries (NIBs), interaction of Bi nanoparticles with TiO 2 incorporated into the carbon nanofibers stabilize the electrochemical performance of the material. Additionally, TiO 2 -Bi/CNF-based composite demonstrated high capacity and enhanced Na+ diffusion. As a result, NIB with TiO 2 -Bi/CNF-based anode displayed reversible capacity equal to 276 and 145.9 mAh g-1 after 200 and 3000 cycles at 100 and 1000 mA g−1 current densities, respectively. Even at 2000 mA g−1 current density, the battery with a TiO 2 -Bi/CNF-based anode delivered 84.5 mAh g-1 capacity retention after 10,000 cycles. Such excellent performance makes TiO 2 -Bi/CNFs a very promising active anode material for NIBs to advance large-scale energy storage applications. [ABSTRACT FROM AUTHOR]

Rainfall-induced shallow landslides and debris flows are one of the most common erosion process and primary channel initiation mechanisms in many steep landscapes. Their initiation conditions are physically controlled by the soil properties and topographically influenced by the competition between area- (A) and slope-dependent (S) sediment transport process. In this work, the A-S relationship of landslides in two forests was compared with respect to the physical properties of soil and plant roots. The results reveal that landslides in the Pinus tabuleaformis forest commonly have larger surface- and contributing area, deeper failure plane and gentler slope gradient than those in the Larix Kaemphferi forest. The saturated hydraulic conductivity in the Pinus tabuleaformis forest is higher and strongly correlates to plant root biomass. The effective cohesion and inner frictional angle of soil mass in the two forests are similar. Faster saturated hydraulic conductivity may lead to the higher upslope contributing area of landslides in the the Pinus tabuleaformis forest. A combination of finite-slope model and precipitation interception model reveals that landslides in the Pinus tabuleaformis forest require higher rainfall amount that those in the Larix Kaemphferi forest. Last but not least, this work provides a clue that strong root network and high saturated hydraulic conductivity may promote the A-S condition. [ABSTRACT FROM AUTHOR]

Nb alloy has become a promising material in aerospace due to high melting point, low density and excellent processing properties. Nevertheless, the mismatched mechanical properties and thermal stability of single-phase BCC-Nb made the aircraft unable to resist cyclic vibration loads under the action of heat/force/flow. Here, after solid solution, quenching and two-stage aging, an FCC/BCC dual-phase Nb alloy with a discontinuous grain boundary (GB) carbide network skeleton was formed. The results show that interstitial C atoms precipitate from BCC-Nb matrix resulting in volume shrinkage and form discontinuous carbide at GB, which stimulates the phase transition of BCC expansion to FCC near GB. Wherein, discontinuous GB carbides help pin the GB and dislocations, impede grain growth, and change the deformation from local to the entire network skeleton. Meanwhile, the gap provides a channel for the dislocation to pass through the GB. Additionally, the FCC provides the multi-slip system to transfer the dislocation. The results show that the yield strength, tensile strength, elongation, fracture toughness and elastic modulus of Nb alloy are increased by 79.99 %, 34.52 %, 164.22 %, 204.76 % and 1.27 %, respectively. This unique microstructure is expected to guide the design of the next generation of high-performance Nb alloys. [ABSTRACT FROM AUTHOR]

Dramatic numbers of road traffic casualties and resulting economic losses have posed significant obstacles to implementing sustainable development and are bound to disrupt economic stability and social well-being. Given these circumstances, it is vital for the government to evaluate the country's current road safety development in comparison with, and to learn from, the situations of better-performing countries. This study develops an efficient and comprehensive gauging system, which combines criteria importance through the intercriteria correlation (CRITIC), preference ranking organization method for enrichment evaluation (PROMETHEE II), and principal component analysis (PCA), namely CRITIC–PROMETHEE II–PCA, to provide the G20 countries with a tool for quantifying transport safety success. Comparisons of the results with those derived from other classical approaches confirm the robustness and feasibility of the proposed methodology across different socioeconomic and demographic backgrounds. This will allow policymakers to formulate corresponding reform measures and allocate investments rationally. This tool will notably enable the G20 to monitor road safety progress, set short- and long-term reform goals, introduce relevant regulations, and distribute investment and resources in a quick and timely manner. The proposed methodology could be used as a model for similar studies conducted in other parts of the world. • Construct a hybrid MCDM model for quantifying transport safety success. • Oversee transport safety achievement of G20 countries across the past decade (2010–2019). • Offer an instrument for reform measure formulation and investment allocation. • Improve the G20 administrative capability for managing transport safety. [ABSTRACT FROM AUTHOR]

Cadmium (Cd) is a dangerous pollutant with multiple toxic effects on aquatic animals, and it exists widely in the environment. Selenium (Se) is a biologically essential trace element. Interactions between heavy metals and selenium can significantly affect their biological toxicity, although little is known about the mechanism of this antagonism. Lactobacillus is one of the dominant probiotics, given that a certain dose promotes host health. In this study, we evaluated the protective effect of a dietary probiotic supplementation, Se-enriched Lactobacillus plantarum (L. plantarum), on the bioaccumulation, oxidative stress and gut microflora of Luciobarbus capito exposed to waterborne Cd. Fish were exposed for 28 days to waterborne Cd at 0.05 mg/L and/or dietary Se-enriched L. plantarum. Exposure to Cd in water leads to Cd accumulation in tissues, oxidative stress and significant changes in gut microflora composition. Adding Se-enriched L. plantarum to the diet can reduce the accumulation of Cd in tissues, enhance the activity of antioxidant enzymes, and reverse changes in intestinal microbial composition after Cd exposure. The results obtained indicate that Se-enriched L. plantarum provides significant protection against the toxicity of Cd by inhibiting bioaccumulation. Selenium reduced oxidative stress by increasing the activity of glutathione (GSH), superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPX) and malondialdehyde (MDA). Se-enriched L. plantarum can reduce the increase in the number of pathogenic Aeromonas caviae bacteria in the intestine caused by Cd stress and increase the number of Gemmobacter to regulate the microbial population. The results of this study show that Se-enriched L. plantarum dietary supplements can effectively protect Luciobarbus capito against Cd toxicity at subchronic levels. [Display omitted] • L. plantarum has a higher tolerance to Se in Lactobacillus spp. • Dietary Se-enriched L. plantarum can significantly reduce the accumulation of Cd. • Dietary Se-enriched L. plantarum significantly alleviates Cd induced oxidative stress. • Dietary Se-enriched L. plantarum can reverse the change of gut microbiota induced by Cd. [ABSTRACT FROM AUTHOR]

Electric Vehicles (EVs) have grown in recent years as they have become a promising alternative to traditional fossil fuel-driven vehicles. As a result, new routing algorithms that consider both the locations of charging stations and the charging preferences of users are necessary to maintain urban traffic efficiency. This paper proposes a Constrained Route Planning (CRP) approach, called BiS4EV, to provide efficient route planning for EVs in large urban road networks. CRP is an NP-hard problem. BiS4EV introduces a two-layered structure to solve the CRP problem for EVs. In the first layer, BiS4EV integrates the locations of charging stations and the battery consumption on each road arc into a road network graph and proposes a fast routing algorithm that considers the constraints of battery capacity and charging preferences to find the shortest feasible path for EVs. The second layer incorporates charging policies to the obtained path, which forms a complete route plan for EVs. Such a two-layered method breaks down the complexity of the problem and avoids directly solving the entire NP-hard problem. We have proved the correctness of the proposed approach in theory, and the presented experimental results verified the efficiency and the effectiveness of BiS4EV from the practical aspect. [ABSTRACT FROM AUTHOR]