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The mediatory role of water quality on the association between extreme precipitation events and infectious diarrhea in the Yangtze River Basin,China

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Fundamental Research 2024年第3期4卷 495-504页

作者： Junfeng yu Liang Zhao xin-Zhong Liang Hung Chak Ho Masahiro Hashizume Cunrui huang School of Public Health Sun Yat-sen UniversityGuangzhou 510080China The State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics(LASG) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Department of Atmospheric and Oceanic Science University of MarylandCollege ParkMD 20740USA Department of Public and International Affairs City University of Hong KongHong Kong 999077China Department of Global Health Policy Graduate School of MedicineThe University of TokyoTokyo 113-0033Japan Vanke School of Public Health Tsinghua UniversityBeijing 100084China Institute of Healthy China Tsinghua UniversityBeijing 100084China

Extreme precipitation is exacerbating the burden of infectious diarrhea in the context of climate change,it is necessary to identify the critical and easy-to-intervene intermediate factors for public health *** quality may be the most important mediator,while relevant empirical evidence is *** study aimed to examine the role of water quality in the process of infectious diarrhea caused by extreme *** infectious diarrhea cases,meteorological factors and water quality data in Yangtze River Basin in China between October 29,2007 to February 19,2017 were ***-stage statistical models were used to estimate city-specific extreme precipitation,water quality and infectious diarrhea relationships that were pooled to derive regional estimates.A causal mediation analysis was used to assess the mediation effect of water *** Yangtze River Basin,extreme precipitation events had a significant impact on infectious diarrhea(Incidence Rate Ratios[IRR]:1.027,95%Confidence Interval[CI]:1.013~1.041).After extreme precipitation events,the dissolved oxygen(DO)in surface water decreased(-0.123 mg/L,95%CI:-0.159 mg/L~-0.086 mg/L),while the un-ionized ammonia(NH(3)-N)increased(0.004 mg/L,95%CI:0.001 mg/L~0.006 mg/L).The combined overall effect of DO and NH(3)-N on infectious diarrhea showed that both low and high concentrations were associated with an increased risk of infectious *** causal mediation analysis showed that the mediation proportion of the two water quality indexes(DO and NH(3)-N)is 70.54%(P<0.001).To reduce the health effects of extreme precipitation,in contrast to current population-oriented health strategies,those that take into account more direct and easy-to-intervene water quality indicators should be encouraged by future policies.

关键词： Extreme precipitation Infectious diarrhea Water quality Dissolved oxygen Un-ionized ammonia Mediation analysis

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Optical Pulling Force in Non-Paraxial Bessel Tractor Beam Generated with Polarization-Insensitive Metasurface

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Chinese Physics Letters 2023年第5期40卷 25-32页

作者：沈哲黄昕宇 School of Electronic and Optical Engineering Nanjing University of Science and TechnologyNanjing 210094China

Tractor beams,able to produce optical pulling forces(OPFs)on particles,are attracting increasing ***,non-paraxial Bessel tractor beams are generated using polarization-insensitive *** are found to exert on dielectric particles with specific radii at the axes of the *** strengths of the OPFs depend on the radii of the particles,which provides the possibility of sorting particles with different *** the OPFs,the radius ranges of particles vary with the polarization states or topological charges of the incident *** change of polarizations can provide a switch between the pulling and pushing forces,which offers a new way to realize dynamic manipulation of *** change of topological charges leads to disjoint radii ranges for the OPFs exerting on particles,which provides the possibility of selective optical ***,we study the behaviors of particles in the tractor *** simulation results reveal that linearly or circularly polarized tractor beams can pull particles a sufficient distance towards the light source,which verifies the feasibility of separating particles.

关键词： attracting separating forces

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Hsa_circ_0007099 and PIP4K2A coexpressed in diffuse large B-cell lymphoma with clinical significance

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Genes & Diseases 2024年第4期11卷 98-101页

作者： Jinghan Wang xin Ku Qiuling Ma Haikuo Li Sujuan huang Liping Mao Fang yu Jie Jin Wei Yan Department of Hematology The First Affiliated HospitalZhejiang University School of MedicineHangzhouZhejiang 310003China Key Laboratory of Hematologic Malignancies Diagnosis and TreatmentHangzhouZhejiang 310003China Zhejiang Provincial Clinical Research Center for Hematologic Diseases HangzhouZhejiang 310003China Cancer Center Zhejiang UniversityHangzhouZhejiang 310003China Shanghai Center for Systems Biomedicine Key Laboratory of Systems Biomedicine(Ministry of Education)Shanghai JiaoTong UniversityShanghai 200240China The Second School of Clinical Medicine Henan University of Chinese MedicineZhengzhouHenan 450046China Department of Pathology The First Affiliated HospitalZhejiang University School of MedicineHangzhouZhejiang 310003China

Diffuse large B-cell lymphoma(DLBCL)is the most common subtype of B-cell lymphoma in adult *** to the clinical and molecular heterogeneity of DLBCL patients,robust biomarkers in clinical practice are still ***,the int... 详细信息

关键词： clinical lymphoma patients

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Uncertainties of landslide susceptibility prediction:influences of different study area scales and mapping unit scales

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International Journal of Coal Science & Technology 2024年第2期11卷 143-172页

作者： Faming huang yu Cao Wenbin Li Filippo Catani Guquan Song Jinsong huang Changshi yu School of Civil Engineering and Architecture Nanchang UniversityNanchang 330031China Hebei International Joint Research Center for Remote Sensing of Agricultural Drought Monitoring/School of Land Science and Space Planning Hebei GEO UniversityShijiazhuang 050031China Department of Geosciences University of PadovaPaduaItaly Discipline of Civil Surveying and Environmental EngineeringPriority Research Centre for Geotechnical Science and EngineeringUniversity of NewcastleCallaghanNSWAustralia School of Information Engineering Nanchang UniversityNanchang 330031China

This study aims to investigate the effects of different mapping unit scales and study area scales on the uncertainty rules of landslide susceptibility prediction(LSP).To illustrate various study area scales,Ganzhou City in China,its eastern region(Ganzhou East),and Ruijin County in Ganzhou East were *** mapping unit scales are represented by grid units with spatial resolution of 30 and 60 m,as well as slope units that were extracted by multi-scale segmentation *** 3855 landslide locations and 21 typical environmental factors in Ganzhou City are first determined to create spatial datasets with ***,landslide susceptibility maps(LSMs)of Ganzhou City,Ganzhou East and Ruijin County are pro-duced using a support vector machine(SVM)and random forest(RF),*** LSMs of the above three regions are then extracted by mask from the LSM of Ganzhou City,along with the LSMs of Ruijin County from Ganzhou ***,LSMs of Ruijin at various mapping unit scales are generated in *** and landslide suscepti-bility indexes(LSIs)distribution are used to express LSP *** LSP uncertainties under grid units significantly decrease as study area scales decrease from Ganzhou City,Ganzhou East to Ruijin County,whereas those under slope units are less affected by study area *** course,attentions should also be paid to the broader representativeness of large study *** LSP accuracy of slope units increases by about 6%–10%compared with those under grid units with 30 m and 60 m resolution in the same study area's *** significance of environmental factors exhibits an averaging trend as study area scale increases from small to *** importance of environmental factors varies greatly with the 60 m grid unit,but it tends to be consistent to some extent in the 30 m grid unit and the slope unit.

关键词： Landslide susceptibility prediction Uncertainty analysis Study areas scales Mapping unit scales Slope units Random forest

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The spatial transcriptomic landscape of human gingiva in health and periodontitis

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Science China(Life Sciences) 2024年第4期67卷 720-732页

作者： Zongshan Shen Ran Zhang yunjia huang Jiayao Chen Mengjun yu Chunhua Li Yong Zhang Lingling Chen xin huang Jichen Yang Zhengmei Lin Songlin Wang Bin Cheng Hospital of Stomatology Guangdong Provincial Key Laboratory of StomatologyGuanghua School of StomatologySun Yat-sen UniversityGuangzhou 510055China Beijing Laboratory of Oral Health Capital Medical UniversityBeijing 100050China Department of Oral Pathology Peking University School and Hospital of Stomatology&National Center of Stomatology&National Clinical Research Center for Oral Diseases&National Engineering Research Center of Oral Biomaterials and Digital Medical DevicesBeijing 100050China Research Unit of Precision Pathologic Diagnosis in Tumors of the Oral and Maxillofacial Regions Chinese Academy of Medical SciencesBeijing 100050China BGI-Qingdao BGI-ShenzhenQingdao 266555China

The gingiva is a key oral barrier that protects oral tissues from various stimuli.A loss of gingival tissue homeostasis causes periodontitis,one of the most prevalent inflammatory diseases in *** human gingiva exists as a complex cell network comprising specialized *** understand the tissue-specific pathophysiology of the gingiva,we applied a recently developed spatial enhanced resolution omics-sequencing(Stereo-seq)technique to obtain a spatial transcriptome(ST)atlas of the gingiva in healthy individuals and periodontitis *** utilizing Stereo-seq,we identified the major cell types present in the gingiva,which included epithelial cells,fibroblasts,endothelial cells,and immune cells,as well as subgroups of epithelial cells and immune *** further observed that inflammation-related signalling pathways,such as the JAK-STAT and NF-κB signalling pathways,were significantly upregulated in the endothelial cells of the gingiva of periodontitis patients compared with those of healthy ***,we characterized the spatial distribution of periodontitis risk genes in the gingiva and found that the expression of IFI16 was significantly increased in endothelial cells of inflamed *** conclusion,our Stereo-seq findings may facilitate the development of innovative therapeutic strategies for periodontitis by mapping periodontitis-relevant genes and pathways and effector cells.

关键词： spatial transcriptomics gingiva periodontal disease periodontitis risk genes

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A Strong, Tough, and Self-Healing Strengthening Thioctic Acid-based Elastomer for Highly Reliable Flexible Strain Sensor

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Chinese Journal of Polymer Science 2024年第10期42卷 1610-1618页

作者： xin-yu Chen yu-Bing Fu Xue-Ling Yan Lan Liu School of Materials Science and Engineering Key Lab of Guangdong Province for High Property and Functional Polymer Materials South China University ofTechnology

Elastomers with high strength and toughness, excellent self-healing properties, and biocompatibility have broad application prospects in wearable electronics and other fields, but preparing it remains a challenge. In this work, we propose a highly adaptable strategy by introducing the small molecule crosslinking agent of triethanolamine (TEA) to the poly(thioctic acid)(PTA) chains and preparing the PAx Ey elastomers using a simple synthesis step. This strategy stabilizes the PTA chains by constructing multiple non-covalent cross-linked dynamic networks, endowing materials with excellent strength and toughness (tensile strength of 288 kPa, toughness of 278.2 kJ/m3), admirable self-healing properties (self-healing efficiency of 121.6%within 7 h at 70°C), and good biocompatibility. The PAx Ey elastomers can also be combined with MWNTs to become flexible strain sensors, which can be used to monitor human joint movements with high sensitivity, repeatable responses, and stability.

关键词： Flexible strain sensor Ion clusters Multiple dynamic networks Self-healing strengthening Thioctic acid

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Preoperative prediction of hepatocellular carcinoma microvascular invasion based on magnetic resonance imaging feature extraction artificial neural network

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World Journal of Gastrointestinal Surgery 2024年第8期16卷 2546-2554页

作者： Jing-Yi Xu yu-Fan Yang Zhong-yue huang xin-Ye Qian Fan-Hua Meng Center of Hepatobiliary Pancreatic Disease Beijing Tsinghua Changgung HospitalSchool of Clinical MedicineTsinghua UniversityBeijing 102218China Department of Surgical Beijing Tsinghua Changgung HospitalSchool of Clinical MedicineTsinghua UniversityBeijing 102218China Department of Anesthesiology Huashan HospitalFudan UniversityShanghai 200040China

BACKGROUND Hepatocellular carcinoma(HCC)recurrence is highly correlated with increased *** invasion(MVI)is indicative of aggressive tumor biology in *** To construct an artificial neural network(ANN)capable of accurately predicting MVI presence in HCC using magnetic resonance *** This study included 255 patients with HCC with tumors<3 *** annotated the tumors on the T1-weighted plain MR ***,a three-layer ANN was constructed using image features as inputs to predict MVI status in patients with *** pathological examination is considered the gold standard for determining *** operating characteristic analysis was used to evaluate the effectiveness of the *** Using the bagging strategy to vote for 50 classifier classification results,a prediction model yielded an area under the curve(AUC)of ***,correlation analysis revealed that alpha-fetoprotein values and tumor volume were not significantly correlated with the occurrence of MVI,whereas tumor sphericity was significantly correlated with MVI(P<0.01).CONCLUSION Analysis of variable correlations regarding MVI in tumors with diameters<3 cm should prioritize tumor *** ANN model demonstrated strong predictive MVI for patients with HCC(AUC=0.79).

关键词： Hepatocellular carcinoma Microvascular invasion Artificial neural network Magnetic resonance imaging Tumor sphericity Area under the curve

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Unlocking stability:Preserving activity of biomimetic catalysts with covalent organic framework cladding

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Chinese Chemical Letters 2024年第6期35卷 1-2页

作者： Ting Wang xin yu Yaqiang Xie College of the Environment&Ecology Xiamen UniversityXiamen 361102China

Enzymes are extremely complicated biocatalysts in several industrial processes due to their numerous advantages over conventional catalysts,including lower physiological and environmental toxicity,exceptional selectivity,and milder reaction conditions[1].However,their widespread applications are constrained by the high production costs,low operational stability,and complexity involved in the recovery and reusability of enzymes[2].

关键词： stability catalysts exceptional

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Upgraded durian genome reveals the role of chromosome reshuffling during ancestral karyotype evolution,lignin biosynthesis regulation,and stress tolerance

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Science China(Life Sciences) 2024年第6期67卷 1266-1279页

作者： Wanwan Li xin Chen Jianing yu yuxian Zhu College of Life Sciences Shaanxi Normal UniversityXi’an 710119China The State Key Laboratory of Protein and Gene Research College of Life SciencesPeking UniversityBeijing 100871China The Institute for Advanced Studies Wuhan UniversityWuhan 430072China

Durian(Durio zibethinus)is a tropical fruit that has a unique flavor and *** occupies a significant phylogenetic position within the Malvaceae *** core-eudicot plants are reported to share seven ancestral karyotypes that have undergone reshuffling,resulting in an abundant genomic ***,the ancestral karyotypes of the Malvaceae family,as well as the evolution trajectory leading to the28 chromosomes in durian,remain poorly ***,we report the high-quality assembly of the durian genome with comprehensive comparative genomic *** analyzing the collinear blocks between cacao and durian,we inferred 11 Malvaceae ancestral *** blocks were present in a single-copy form in cacao and mainly in triplicates in durian,possibly resulting from a recent whole genome triplication(WGT)event that led to hexaploidization of the durian genome around 20(17–24)million years ago.A large proportion of the duplicated genes in durian,such as those involved in the lignin biosynthesis module for phenylpropane biosynthesis,are derived directly from whole genome duplication,which makes it an important force in reshaping its genomic *** studies have revealed that genes involved in feruloyl-Co A formations were highly preferentially expressed in fruit peels,indicating that the thorns produced on durian fruit may comprise guaiacyl and syringyl *** all the analyzed transcription factors(TFs),members of the heat shock factor family(HSF)were the most significantly upregulated under heat *** subfamilies of genes encoding heat shock proteins(HSPs)in the durian genome appear to have undergone *** potential interactions between HSF Dzi05.397 and HSPs were examined and experimentally *** study provides a high-quality durian genome and reveals the reshuffling mechanism of ancestral Malvaceae chromosomes to produce the durian *** also provide insights into the mechanism underlying lignin bi

关键词： Durio zibethinus whole genome duplication whole genome triplication Malvaceae ancestral karyotypes chromosome reshuffling lignin biosynthesis heat stress

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Weakly Supervised Network with Scribble-Supervised and Edge-Mask for Road Extraction from High-Resolution Remote Sensing Images

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Computers, Materials & Continua 2024年第4期79卷 549-562页

作者： Supeng yu Fen huang Chengcheng Fan College of Artificial Intelligence Nanjing Agricultural UniversityNanjing210095China Innovation Academy for Microsatellites of CAS Shanghai201210China Shanghai Engineering Center for Microsatellites Shanghai201210China Key Laboratory of Satellite Digital Technology Shanghai201210China

Significant advancements have been achieved in road surface extraction based on high-resolution remote sensingimage processing. Most current methods rely on fully supervised learning, which necessitates enormous humaneffort to label the image. Within this field, other research endeavors utilize weakly supervised methods. Theseapproaches aim to reduce the expenses associated with annotation by leveraging sparsely annotated data, such asscribbles. This paper presents a novel technique called a weakly supervised network using scribble-supervised andedge-mask (WSSE-net). This network is a three-branch network architecture, whereby each branch is equippedwith a distinct decoder module dedicated to road extraction tasks. One of the branches is dedicated to generatingedge masks using edge detection algorithms and optimizing road edge details. The other two branches supervise themodel’s training by employing scribble labels and spreading scribble information throughout the image. To addressthe historical flaw that created pseudo-labels that are not updated with network training, we use mixup to blendprediction results dynamically and continually update new pseudo-labels to steer network training. Our solutiondemonstrates efficient operation by simultaneously considering both edge-mask aid and dynamic pseudo-labelsupport. The studies are conducted on three separate road datasets, which consist primarily of high-resolutionremote-sensing satellite photos and drone images. The experimental findings suggest that our methodologyperforms better than advanced scribble-supervised approaches and specific traditional fully supervised methods.

关键词： Semantic segmentation road extraction weakly supervised learning scribble supervision remote sensing image

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