72 research outputs found

    Research on the Prediction of Nano-Organic Synthesis Reaction Pathways Based on Graph Neural Networks

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    At present, due to the potential biological toxicity risks and economic considerations in the preparation of nanomaterials, their green synthesis and application in environmental governance have attracted much attention. However, this field still faces core challenges: the molecular mechanism of the green synthesis pathway is not yet clear, and the pollutant removal efficiency still has a significant gap compared with traditional methods. In this study, the synthesis conditions of nanometers were optimized through the graph neural network model, and an improved graph neural network algorithm based on molecular segmentation was proposed. Based on the composition mechanism of material molecules and the division of functional groups, an unsupervised learning method is constructed to segment the graph data structure composed of molecules. Combined with the structure after molecular segmentation, a new graph neural network is designed to pay more attention to the local effects of functional groups. Through experiments in databases such as solubility, the improved graph neural network has better prediction performance. Meanwhile, the combination of molecular segmentation and graph interpretation algorithms guides the graph interpretation algorithms to search for substructures containing complete functional groups. For the interpretation of structure-performance, it is more in line with the mechanism of molecular composition and has more practical significance for performance analysis and the design of new materials

    Karl Polanyi, la Nouvelle sociologie économique et les forces du marché

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    Cet article montre en quoi plusieurs auteurs de la Nouvelle sociologie économique tendent à adopter un regard incomplet sur les forces du marché. Pour cela, l’auteur distingue deux notions d’encastrement renvoyant pour la première à un cadre méthodologique institutionnaliste et pour la seconde à l’observation du poids variable des forces du marché. Il établit qu’autant des sociologues classiques comme Weber ou Polanyi ont su coupler ces deux approches, autant plusieurs travaux majeurs de la Nouvelle sociologie économique, notamment ceux de Zelizer, de Fligstein et de Biggart, adoptent la première perspective mais ne traitent que de façon partielle de la seconde. L’auteur met particulièrement en cause les objets de recherche retenus par ces derniers auteurs, dès lors que sont systématiquement privilégiées des situations où les forces du marché sont tenues à l’écart.This article shows how many authors of the New Economic Sociology tend to adopt an incomplete view of market forces. The author distinguishes two notions of embeddedness, one related to the institutionalist theories and the second to the observation of the variable weight of market forces. It is established that classical sociologists such as Weber or Polanyi have joined these two approaches, while manyu works of the New sociological economy, for examle those of Zelizer, Fligstein or Biggart adopt the first perspective, but only treat the second partially. The author particularly questions the research objects chosen by these authors, since he considers that they generally refer to situations where market forces are held at bay

    Annexin A3 Represses Endothelial Permeability and Inflammation During Sepsis via Actin Cytoskeleton Modulation

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    Abstract Increased endothelial permeability and a dysregulated inflammatory response play key roles in organ damage in sepsis. The role of annexin A3 (ANXA3) in regulating endothelial permeability and inflammation during sepsis is explored using ANXA3 knockout mice and primary human umbilical vein endothelial cells (HUVECs). The absence of ANXA3 exacerbated sepsis outcomes, including increased mortality, lung injury, leukocyte infiltration, and vascular permeability. ANXA3 is highly expressed in endothelial cells and its loss results in the formation of cytoskeletal stress fibers and a decrease in the expression of the junction proteins zonula occludens (Zo)‐1, vascular endothelial (VE)‐cadherin, and claudin 5, leading to increase permeability. ANXA3 knockdown also upregulates E‐selectin (CD62E) expression through the phosphorylation of activating transcription factor 2 (ATF2), which increases monocyte adhesion in HUVECs after LPS stimulation. Inhibiting actin polymerization reverse these effects. Thus, ANXA3 stabilizes the actin cytoskeleton, playing a protective role in endothelial dysfunction during sepsis

    Genome-wide identification of lncRNAs associated with chlorantraniliprole resistance in diamondback moth Plutella xylostella (L.)

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    Abstract Background Long noncoding RNAs (lncRNAs) are now considered important regulatory factors, with a variety of biological functions in many species including insects. Some lncRNAs have the ability to show rapid responses to diverse stimuli or stress factors and are involved in responses to insecticide. However, there are no reports to date on the characterization of lncRNAs associated with chlorantraniliprole resistance in Plutella xylostella. Results Nine RNA libraries constructed from one susceptible (CHS) and two chlorantraniliprole-resistant P. xylostella strains (CHR, ZZ) were sequenced, and 1309 lncRNAs were identified, including 877 intergenic lncRNAs, 190 intronic lncRNAs, 76 anti-sense lncRNAs and 166 sense-overlapping lncRNAs. Of the identified lncRNAs, 1059 were novel. Furthermore, we found that 64 lncRNAs were differentially expressed between CHR and CHS and 83 were differentially expressed between ZZ and CHS, of which 22 were differentially expressed in both CHR and ZZ. Most of the differentially expressed lncRNAs were hypothesized to be associated with chlorantraniliprole resistance in P. xylostella. The targets of lncRNAs via cis- ( 0.9 or < -0.9, P < 0.05) regulatory effects were also identified; many of the differently expressed lncRNAs were correlated with various important protein-coding genes involved in insecticide resistance, such as the ryanodine receptor, uridine diphosphate glucuronosyltransferase (UGTs), cytochrome P450, esterase and the ATP-binding cassette transporter. Conclusions Our results represent the first global identification of lncRNAs associated with chlorantraniliprole resistance in P. xylostella. These results will facilitate future studies of the regulatory mechanisms of lncRNAs in chlorantraniliprole and other insecticide resistance and in other biological processes in P. xylostella

    Effects of Gait Patterns on the Viscoelastic Squeeze-Film Lubrication of Hip Replacements

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    The present study investigated the influence of various gait patterns on the viscoelastic squeeze-film lubrication characteristics of UHMWPE-based artificial hip replacements. Different gait loads (slow walking, normal walking, slow running) measured by Bergmann et al. were adopted in the present lubrication simulation. A comprehensive squeeze-film lubrication model for UHMWPE hip replacement was developed and numerically solved to determine the spatial distributions of film thickness and pressure profiles. The results showed that physiological loads had a negligible impact on the minimum film thicknesses during the stand phases. However, they significantly enhanced the minimum film thicknesses in both the elastic (1.16&ndash;1.31 times) and viscoelastic models (1.43&ndash;2.85 times) during the swing phases when compared to constant loads. This improvement was notably more pronounced in the viscoelastic model than in the elastic model. The slow-running gait, characterized by its higher frequency, demonstrated a more pronounced enhancement in squeeze-film lubrication of UHMWPE artificial hip joints compared to both normal-walking and slow-walking gaits. Specifically, the minimum film thicknesses during slow running were found to be 1.15 to 1.35 times greater than those observed during normal walking and 1.33 to 1.66 times greater than those during slow walking, highlighting the superior lubrication performance in the slow running case

    Effects of gait patterns on the viscoelastic squeeze-film lubrica-tion of hip replacements

    No full text
    The present study investigated the influence of various gait patterns on the viscoelastic squeeze-film lubrication characteristics of UHMWPE-based artificial hip replacements. Different gait loads (slow walking, normal walking, slow running) measured by Bergmann et al. were adopted in the present lubrication simulation. A comprehensive squeeze-film lubrication model for UHMWPE hip replacement was developed and numerically solved to determine the spatial distributions of film thickness and pressure profiles. The results showed that physiological loads had a negligible impact on the minimum film thicknesses during the stand phases. However, they significantly enhanced the minimum film thicknesses in both the elastic (1.16–1.31 times) and viscoelastic models (1.43–2.85 times) during the swing phases when compared to constant loads. This improvement was notably more pronounced in the viscoelastic model than in the elastic model. The slow-running gait, characterized by its higher frequency, demonstrated a more pronounced enhancement in squeeze-film lubrication of UHMWPE artificial hip joints compared to both normal-walking and slow-walking gaits. Specifically, the minimum film thicknesses during slow running were found to be 1.15 to 1.35 times greater than those observed during normal walking and 1.33 to 1.66 times greater than those during slow walking, highlighting the superior lubrication performance in the slow running case

    Developing of the evaluation of water inrush risk from coal seam floor

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    Reviews the development process of the evaluation of water inrush risk from coal seam floor. Then the system of risk evaluation is put forward: indexes (establishment of index system), methods (selection of evaluation methods) and tools (innovation of handling tools), and the three steps are summarized. The study indicates that the development of index system is no longer the expansion of factor sets, but the treatment of non-linear relationship among factors, as well as the simplification of the two basic factor sets: mining and geological conditions. The existing methods are divided into three categories according to the logic of data processing. Based on the basic information of the data, the first type is to consider, sort, and synthesize three effects of the original data on the evaluated object: size, height, advantages and disadvantages, thus forming the evaluation result. The second type includes assessment, analysis, expansion and extension of the data, then the potential information is discovered to form the final result. The third type is to organize data sets with the same indexes, and find common information among data through related processing technology to obtain the result. The development direction of future evaluation methods covers two aspects. On the one hand, it aims to inherit the water inrush coefficient method and improve its poor performance in thick, extremely thick, and extremely thin water-resisting layers. On the other hand, it aims to innovate new methods of machine learning, then develop and apply them and their combined models. Besides,three goals that the processing tool needs to achieve are proposed:build a three-dimensional model of a mine,the realization of dynamic demonstration,positioning,quantitation and probability.The problems faced by the three parts are discussed and specific solutions are elaborated.On the basis of the above,the research prospect of all links of water inrush risk evoluation system from coal seam is globally clarified
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