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Identified the hydrochemical and the sulfur cycle process in subsidence area of Pingyu mining area using multi-isotopes combined with hydrochemistry methods

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Journal of Groundwater Science and Engineering 2024年第1期12卷 62-77页

作者： Hui-Meng Su fa-wang zhang Jing-Yu Hu Jin-Feng Lei Wei Zuo Bo Yang Yu-Hua Liu School of Environmental Studies China University of GeosciencesWuhan 430074China Center for Hydrogeology and Environmental Geology China Geological SurveyBaoding 071051Hebei ProvinceChina Henan Branch China South-to-North Water Diversion Middle Route Corporation LimitedZhengzhou 450046China The Fifth Geological Survey Institute Henan Provincial Bureau of Geology and Mineral ResourcesZhengzhou 450012China Natural Resources Science and Technology Innovation Center of Henan Province(Research on Eco-Environmental Assessment and Restoration Technology) Zhengzhou 450012China

Groundwater serves as an important water source for residents in and around mining *** achieve scientific planning and efficient utilization of water resources in mining areas,it is essential to figure out the chemical formation process and the ground water sulfur cycle that transpire after the coal mining *** on studies of hydrochemistry and D,^(18)O-H_(2)O,^(34)S-SO_(4)isotopes,this study applied principal component analysis,ion ratio and other methods in its attempts to reveal the hydrogeochemical action and sulfur cycle in the subsidence area of Pingyu mining *** study discovered that,in the studied area,precipitation provides the major supply of groundwater and the main water chemistry effects are dominated by oxidation dissolution of sulfide minerals as well as the dissolution of carbonate and silicate *** sulfate in groundwater primarily originates from oxidation and dissolution of sulfide minerals in coal-bearing strata and human *** mixed sulfate formed by the oxidation of sulfide minerals and by human activities continuously recharges the groundwater,promoting the dissolution of carbonate rock and silicate rock in the process.

关键词： PCA Ion ratio Water chemistry Sulfide minerals Multi-isotopes Subsidence area of mining area

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Groundwater and environmental challenges in Asia

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Journal of Groundwater Science and Engineering 2024年第2期12卷 223-236页

作者： Yan-pei Cheng fa-wang zhang Hua Dong Xue-ru Wen Institute of Hydrogeology and Environmental Geology Chinese Academy of Geological SciencesShijiazhuang 050061China Key Laboratory of Groundwater Sciences and Engineering Ministry of natural ResourcesZhengding 050803HebeiChina Center for Hydrogeology and Environmental Geology Survey China Geological SurveyBaoding 071051HebeiChina

Asia stands out as the most populous and geographically diverse region *** pressing issues of water resource development and the resulting ecological impacts are exacerbated by the region's rapid population growth and economic ***,a vital source of water in Asia,faces significant disparities in distribution and suffers from unsustainable exploitation *** study applies groundwater system theory and categorizes Asia into 11 primary groundwater systems and 36 secondary ones,based on intercontinental geological structures,climate,terrain,and hydrogeological *** of the end of 2010,Asia's assessed groundwater resources totalled 4.677×10^(9) m^(3)/a,with exploitable resources amounting to 3.274×10^(9) m^(3)/*** considering the geological environmental impacts of groundwater development and the distinctive characteristics of terrain and landforms,six categories of effect zones with varying distribution patterns are *** current research on Asia's groundwater resources,environmental dynamics,and human impacts aims to provide a theoretical foundation for sustainable groundwater management and environmental conservation in the region.

关键词： Asia Groundwater resources Groundwater quality Ecological environment Environmental impacts

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TuBG1 promotes hepatocellular carcinoma via ATR/P53-apoptosis and cycling pathways

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Hepatobiliary & Pancreatic Diseases International 2024年第2期23卷 195-209页

作者： Yan zhang Zhen-Zhen wang An-Qi Han Ming-Ya Yang Li-Xin Zhu fa-Ming Pan Yong wang Department of General Surgery The Second Hospital of Anhui Medical UniversityHefei 230601China Department of General Surgery The First Affiliated Hospital of Anhui Medical UniversityHefei 230022China Department of Epidemiology and Biostatistics School of Public HealthAnhui Medical UniversityHefei 230032China The Key Laboratory of Major Autoimmune Diseases Anhui Medical UniversityHefei 230032China

Background:As reported,γ-tubulin(TuBG1)is related to the occurrence and development of various types of malignant ***,its role in hepatocellular cancer(HCC)is not *** present study was to investigate the relationship between TuBG1 and clinical parameters and survival in HCC ***:The correlation between TuBG1 and clinical parameters and survival in HCC patients was ex-plored by bioinformatics *** was used for the *** molecular function of TuBG1 was measured using colony formation,scratch assay,trans-well assay and flow *** set enrichment analysis(GSEA)was used to pick up the enriched pathways,followed by investigating the target pathways using Western *** tumor-immune system interactions and drug bank database(TISIDB)was used to evaluate TuBG1 and *** on the TuBG1-related immune genes,a prognostic model was constructed and was further validated internally and ***:The bioinformatic analysis found high expressed TuBG1 in HCC tissue,which was confirmed us-ing immunohistochemistry and Western *** silencing the TuBG1 in HCC cell lines,more G1 arrested cells were found,cell proliferation and invasion were inhibited,and apoptosis was ***,the silence of TuBG1 increased the expressions of Ataxia-Telangiectasia and Rad-3(ATR),phospho-P38 mitogen-activated protein kinase(P-P38MAPK),phospho-P53(P-P53),B-cell lymphoma-2 associated X protein(Bax),cleaved caspase 3 and P21;decreased the expressions of B-cell lymphoma-2(Bcl-2),cyclin D1,cyclin E2,cyclin-dependent kinase 2(CDK2)and *** correlation analysis of immunohistochemistry and clinical parameters and survival data revealed that TuBG1 was negatively corre-lated with the overall *** constructed immune prognosis model could effectively evaluate the ***:The increased expression of TuBG1 in HCC is associated with poor prognosis,which might be involved in the oc

关键词： TuBG1 Hepatocellular carcinoma Apoptosis Cell cycling Immunomodulators

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NUDT5 promotes the growth,metastasis,and Warburg effect of IDH wild-type glioblastoma multiforme cells by upregulating TRIM47

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Asian Pacific Journal of Tropical Biomedicine 2024年第2期14卷 82-92页

作者： Zi-fa zhang Shu-Ming Liu Neurosurgery Department Shanxi Bethune HospitalTaiyuanShanxi Province030022China Shanxi Academy of Medical Sciences TaiyuanShanxi province030022China Emergency Department Taiyuan People’s HospitalTaiyuanShanxi Province030021China

Objective:To explore the regulatory mechanism of NUDT5 in glioblastoma multiforme(GBM).Methods:GEPIA database was used to predict the expressions of NUDT5 and tripartite motif family proteins 47(TRIM47)in GBM ***-qPCR and Western blot analyses were performed to examine NUDT5 expression in GBM ***-229 cell proliferation,migration as well as invasion were estimated by CCK-8,colony formation,wound healing,and Transwell assays following interference with *** assay,L-lactic acid kit,glucose detection kit,and ATP detection kit were applied for the detection of glycolysis-related ***-immunoprecipitation experiment was carried out to verify the relationship between NUDT5 and ***:GEPIA database showed that NUDT5 expression was significantly increased in GBM *** the expression of NUDT5 in GBM cells significantly suppressed the viability,proliferation,invasion,migration,and glycolysis of GBM ***,TRIM47 was highly expressed in GBM cells and interacted with *** of TRIM47 partially reversed the inhibitory effect of NUDT5 downregulation on the proliferation,metastasis,and glycolysis of GBM ***:NUDT5 promotes the growth,metastasis,and Warburg effect of GBM cells by upregulating *** NUDT5 and TRIM47 can be used as targets for GMB treatment.

关键词： Glioblastoma multiforme NUDT5 TRIM47 Growth Metastasis Warburg effect

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Multi-surrogate framework with an adaptive selection mechanism for production optimization

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Petroleum Science 2024年第1期21卷 366-383页

作者： Jia-Lin wang Li-Ming zhang Kai zhang Jian wang Jian-Ping Zhou Wen-Feng Peng fa-Liang Yin Chao Zhong Xia Yan Pi-Yang Liu Hua-Qing zhang Yong-Fei Yang Hai Sun School of Petroleum Engineering China University of Petroleum(East China)Qingdao266580ShandongChina Qingdao University of Technology Qingdao266580ShandongChina College of Science China University of PetroleumQingdao266580ShandongChina Zepu Oil and Gas Development Department PetroChina Tarim Oilfield CompanyKorla841000XinjiangChina Hainan Branch of CNOOC Ltd Haikou70311HainanChina

Data-driven surrogate models that assist with efficient evolutionary algorithms to find the optimal development scheme have been widely used to solve reservoir production optimization ***,existing research suggests that the effectiveness of a surrogate model can vary depending on the complexity of the design problem.A surrogate model that has demonstrated success in one scenario may not perform as well in *** the absence of prior knowledge,finding a promising surrogate model that performs well for an unknown reservoir is ***,the optimization process often relies on a single evolutionary algorithm,which can yield varying results across different *** address these limitations,this paper introduces a novel approach called the multi-surrogate framework with an adaptive selection mechanism(MSfaSM)to tackle production optimization *** consists of two *** the first stage,a reduced-dimensional broad learning system(BLS)is used to adaptively select the evolutionary algorithm with the best performance during the current optimization *** the second stage,the multi-objective algorithm,non-dominated sorting genetic algorithm II(NSGA-II),is used as an optimizer to find a set of Pareto solutions with good performance on multiple surrogate models.A novel optimal point criterion is utilized in this stage to select the Pareto solutions,thereby obtaining the desired development schemes without increasing the computational load of the numerical *** two stages are combined using sequential transfer *** the two most important perspectives of an evolutionary algorithm and a surrogate model,the proposed method improves adaptability to optimization problems of various reservoir *** verify the effectiveness of the proposed method,four 100-dimensional benchmark functions and two reservoir models are tested,and the results are compared with those obtained by six other surrogate-model-based *** res

关键词： Production optimization Multi-surrogate models Multi-evolutionary algorithms Dimension reduction Broad learning system

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Washed microbiota transplantation for Crohn’s disease:A metagenomic,metatranscriptomic,and metabolomic-based study

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World Journal of Gastroenterology 2024年第11期30卷 1572-1587页

作者： Shi-Ju Chen Da-Ya zhang Xia Wu fa-Ming zhang Bo-Ta Cui Yi-Hao Huang Zu-Lun zhang Rui wang Fei-Hu Bai Graduate School Hainan Medical UniversityHaikou 571199Hainan ProvinceChina Department of Microbiota Medicine&Medical Center for Digestive Diseases The Second Affiliated Hospital of Nanjing Medical UniversityNanjing 210011Jiangsu ProvinceChina Department of Gastroenterology The Second Affiliated Hospital of Hainan Medical UniversityHaikou 570216Hainan ProvinceChina

BACKGROUND Fecal microbiota transplantation(FMT)is a promising therapeutic approach for treating Crohn’s disease(CD).The new method of FMT,based on the automatic washing process,was named as washed microbiota transplantation(WMT).Most existing studies have focused on observing the clinical ***,the mechanism of action of FMT for the effective management of CD-particularly in-depth multi-omics analysis involving the metagenome,metatranscriptome,and metabolome-has not yet been *** To assess the efficacy of WMT for CD and explore alterations in the microbiome and metabolome in response to *** We conducted a prospective,open-label,single-center clinical *** CD patients underwent *** clinical responses(defined as a decrease in their CD Activity Index score of>100 points)and their microbiome(metagenome,metatranscriptome)and metabolome profiles were evaluated three months after the *** Seven of the 11 patients(63.6%)showed an optimal clinical response three months *** microbiome diversity significantly increased after WMT,consistent with improved clinical *** of the metagenome and metatranscriptome analyses revealed consistent alterations in certain strains,such as faecalibac-terium prausnitzii,Roseburia intestinalis,and Escherichia *** addition,metabolomics analyses demonstrated that CD patients had elevated levels of various amino acids before treatment compared to the ***,levels of vital amino acids that may be associated with disease progression(e.g.,L-glutamic acid,gamma-glutamyl-leucine,and prolyl-glutamine)were reduced after *** WMT demonstrated therapeutic efficacy in CD treatment,likely due to the effective reconstruction of the patient’s ***-omics techniques can effectively help decipher the potential mechanisms of WMT in treating CD.

关键词： Crohn’s disease Clinical trials Fecal microbiota transplant Metagenome Metatranscriptome Metabolome

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Combustion and Self-Desulfurization Characterization of Blended Low-Rank Coals for Improved Resource Utilization in Fluidized Bed Boilers

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Journal of Thermal Science 2024年第3期33卷 1242-1256页

作者： SU Lipeng zhang Cong zhang Yongsheng wang Tao wang Jiawei Key Laboratory of Power Station Energy Transfer Conversion and System Ministry of EducationNorth China Electric Power UniversityBeijing102206China

The co-combustion of low-rank coals through fluidized bed boiler(CFB)is an effective approach to enhance the level of resource *** date,there has been a lack of investigation concerning the co-combustion kinetics and self-desulfurization characteristics of coal slime,coal gangue,and raw *** this study,we adopted multiple model-free and model-fitting methods to comparatively analyze co-combustion kinetics of blended coals on the basis of thermogravimetric ***,the sulfur balance and self-desulfurization of blended coals in the co-combustion were intensively investigated using a tube furnace *** results reveal that in the presence of coal gangue in blended coals,the average activation energy(E_(a))falls within the range of 65.7 kJ/mol to 100.4 kJ/mol,as determined by four model-free ***,in the absence of coal gangue,only the Flynn-Wall-Ozawa(FWO)and Friedman(FM)methods are deemed appropriate for calculating the average E_(a),yielding a value of 77.3 kJ/*** first order reaction model is confirmed to be reliable for analyzing the co-combustion kinetics of low-rank blended *** of the specific composition of the blended coal,a significant linear correlation exists between the Ea and the natural logarithm of the pre-exponential factor(lnA)within an extensive range of ***,the addition of coal gangue to the blended coal substantially enhances the self-desulfurization level,resulting in an increase from 25.7%to60.7%at 1073 *** self-desulfurization efficiency exhibits a good linear relationship with both the mass ratio of coal gangue to coal slime and the molar ratio of calcium to *** a practical implementation,the optimal addition ratio of coal gangue is a trade-off between the self-desulfurization efficiency and the ignition capacity.

关键词： coal slime coal gangue fluidized bed boilers self-desulfurization resource utilization

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Comprehensive Relation Modelling for Image Paragraph Generation

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Machine Intelligence Research 2024年第2期21卷 369-382页

作者： Xianglu Zhu zhang zhang Wei wang Zilei wang Automation Department University of Science and Technology of ChinaHefei 230027China Center for Research on Intelligent Perception and Computing National Laboratory of Pattern RecognitionInstitute of AutomationChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100864China

Image paragraph generation aims to generate a long description composed of multiple sentences,which is different from traditional image captioning containing only one *** of previous methods are dedicated to extracting rich features from image regions,and ignore modelling the visual *** this paper,we propose a novel method to generate a paragraph by modelling visual relationships ***,we parse an image into a scene graph,where each node represents a specific object and each edge denotes the relationship between two ***,we enrich the object features by implicitly encoding visual relationships through a graph convolutional network(GCN).We further explore high-order relations between different relation features using another graph convolutional *** addition,we obtain the linguistic features by projecting the predicted object labels and their relationships into a semantic embedding *** these features,we present an attention-based topic generation network to select relevant features and produce a set of topic vectors,which are then utilized to generate multiple *** evaluate the proposed method on the Stanford image-paragraph dataset which is currently the only available dataset for image paragraph generation,and our method achieves competitive performance in comparison with other state-of-the-art(SOTA)methods.

关键词： Image paragraph generation visual relationship scene graph graph convolutional network(GCN) long short-term memory

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Broad-spectrum ginsentides are principal bioactives in unraveling the cure-all effects of ginseng

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Acta Pharmaceutica Sinica B 2024年第2期14卷 653-666页

作者： Shining Loo Antony Kam Bamaprasad Dutta Xiaohong zhang Nan Feng Siu Kwan Sze Chuan-fa Liu Xiaoliang wang James P.Tam School of Biological Sciences Nanyang Technological UniversitySingapore 637551Singapore Academy of Pharmacy Xi’an Jiaotong-Liverpool UniversitySuzhou 215123China Department of Biological Sciences Xi’an Jiaotong-Liverpool UniversitySuzhou 215123China Institute of Materia Medica Chinese Academy of Medical SciencesBeijing 100050China Department of Health Sciences Brock UniversityNiagara RegionON L2S 3A1Canada

Stress and illness connection is complex and involves multiple physiological *** ginsengs,reputed for their broad-spectrum“cure-all”effect,are widely prescribed to treat stress and related ***,the identity of ginseng’s“cure-all”medicinal compounds that relieve stress remains ***,we identify ginsentides as the principal bioactives that coordinate multiple systems to restore homeostasis in response to *** are disulfide-rich,cell-penetrating and proteolytic-stable *** affinity-enrichment mass spectrometry target identification together with in vitro,ex vivo and in vivo validations,we show that highly purified or synthetic ginsentides promote vasorelaxation by producing nitric oxide through endothelial cells via intracellular PI3K/Akt signaling pathway,alleviate a1-adrenergic receptor overactivity by reversing phenylephrine-induced constriction of aorta,decrease monocyte adhesion to endothelial cells via CD166/ESAM/CD40 and inhibit P2Y12 receptors to reduce platelet *** administered ginsentides were effective in animal models to reduce ADP-induced platelet aggregation,to prevent collagen and adrenalineinduced pulmonary thrombosis as well as anti-stress behavior of tail suspension and forced swimming tests in ***,these results strongly suggest that ginsentides are the principal panacea compounds of ginsengs because of their ability to target multiple extra-and intra-cellular proteins to reverse stress-induced damages.

关键词： Ginseng Cysteine-rich peptides Microproteins Cure-all Stress Homeostasis

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false Negative Sample Detection for Graph Contrastive Learning

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Tsinghua Science and Technology 2024年第2期29卷 529-542页

作者： Binbin zhang Li wang College of Data Science Taiyuan University of TechnologyJinzhong 030600China

Recently,self-supervised learning has shown great potential in Graph Neural Networks (GNNs) through contrastive learning,which aims to learn discriminative features for each node without label information. The key to graph contrastive learning is data augmentation. The anchor node regards its augmented samples as positive samples,and the rest of the samples are regarded as negative samples,some of which may be positive samples. We call these mislabeled samples as “false negative” samples,which will seriously affect the final learning effect. Since such semantically similar samples are ubiquitous in the graph,the problem of false negative samples is very significant. To address this issue,the paper proposes a novel model,false negative sample Detection for Graph Contrastive Learning (FD4GCL),which uses attribute and structure-aware to detect false negative samples. Experimental results on seven datasets show that FD4GCL outperforms the state-of-the-art baselines and even exceeds several supervised methods.

关键词： graph representation learning contrastive learning false negative sample detection

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