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Eubacterium coprostanoligenes alleviates chemotherapy-induced intestinal mucositis by enhancing intestinal mucus barrier

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Acta Pharmaceutica Sinica B 2024年第4期14卷 1677-1692页

作者： Dongsheng Bai Jiawei zhao Runde Wang Jiaying Du Chen Zhou Chunyang Gu yuxiang Wang Lulu Zhang Yue zhao Na Lu State Key Laboratory of Natural Medicines Jiangsu Key Laboratory of Carcinogenesis and InterventionDepartment of PhysiologySchool of Basic Medicine and Clinical PharmacyChina Pharmaceutical UniversityNanjing 210009China Department of Clinical Pharmacology School of PharmacyNanjing Medical UniversityNanjing 211166China

Chemotherapy-induced mucositis represents a severe adverse outcome of cancer treatment,significantly curtailing the efficacy of these treatments and,in some cases,resulting in fatal conse-quences.Despite identifying intestinal epithelial cell damage as a key factor in chemotherapy-induced mucositis,the paucity of effective treatments for such damage is evident.In our study,we discovered that Eubacterium coprostanoligenes promotes mucin secretion by goblet cells,thereby fortifying the integrity of the intestinal mucus barrier.This enhanced barrier function serves to resist microbial invasion and sub-sequently reduces the inflammatory response.Importantly,this effect remains unobtrusive to the anti-tumor efficacy of chemotherapy drugs.Mechanistically,E.copr up-regulates the expression of AUF1,leading to the stabilization of Muc2 mRNA and an increase in mucin synthesis in goblet cells.An espe-cially significant finding is that E.copr activates the AhR pathway,thereby promoting the expression of AUF1.In summary,our results strongly indicate that E.copr enhances the intestinal mucus barrier,effec-tively alleviating chemotherapy-induced intestinal mucositis by activating the AhR/AUFl pathway,consequently enhancing Muc2 mRNA stability.

关键词： Chemotherapy Mucositis Eubacterium coprostanoligenes MUC2 AUF1

High-resolution short-term prediction of the COVID-19 epidemic based on spatial-temporal model modified by historical meteorological data

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Fundamental Research 2024年第3期4卷 527-539页

作者： Bin Chen Ruming Chen Lin zhao yuxiang Ren Li Zhang Yingjie zhao Xinbo Lian Wei Yan Shuoyuan Gao College of Atmospheric Sciences Lanzhou UniversityLanzhou 730000China Collaborative Innovation Center of Western Ecological Security Lanzhou UniversityLanzhou 730000China

In the global challenge of Coronavirus disease 2019(COVID-19)pandemic,accurate prediction of daily new cases is crucial for epidemic prevention and socioeconomic planning.In contrast to traditional local,one-dimensional time-series data-based infection models,the study introduces an innovative approach by formulating the short-term prediction problem of new cases in a region as multidimensional,gridded time series for both input and prediction targets.A spatial-temporal depth prediction model for COVID-19(ConvLSTM)is presented,and further ConvLSTM by integrating historical meteorological factors(Meteor-ConvLSTM)is refined,considering the influence of meteorological factors on the propagation of COVID-19.The correlation between 10 meteorological factors and the dynamic progression of COVID-19 was evaluated,employing spatial analysis techniques(spatial autocorrelation analysis,trend surface analysis,etc.)to describe the spatial and temporal characteristics of the epidemic.Leveraging the original ConvLSTM,an artificial neural network layer is introduced to learn how meteorological factors impact the infection spread,providing a 5-day forecast at a 0.01°×0.01°pixel resolution.Simulation results using real dataset from the 3.15 outbreak in Shanghai demonstrate the efficacy of Meteor-ConvLSTM,with reduced RMSE of 0.110 and increased R^(2) of 0.125(original ConvLSTM:RMSE=0.702,R^(2)=0.567;Meteor-ConvLSTM:RMSE=0.592,R^(2)=0.692),showcasing its utility for investigating the epidemiological characteristics,transmission dynamics,and epidemic development.

关键词： COVID-19 Prediction ConvLSTM Refined prediction Meteorological factors Spatial-temporal analysis

Lithiophilic Li-Si alloy-solid electrolyte interface enabled by high-concentration dual salt-reinforced quasi-solid-state electrolyte

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Journal of Energy Chemistry 2024年第8期95卷 216-230页

作者： Yuanxing Zhang Ling Zhang Zhiguang zhao yuxiang Zhang Jingwen Cui Chengcai Liu Daobin Mu Yuefeng Su Borong Wu Feng Wu School of Materials Science and Engineering Beijing Institute of Technology Chongqing Innovation Center Beijing Institute of Technology Collaborative Innovation Center of Electric Vehicles in Beijing

Solid polymer electrolytes（SPEs） are urgently required to achieve practical solid-state lithium metal batteries（LMBs） and lithium-ion batteries（LIBs）,Herein,we proposed a mechanism for modulating interfacial conduction and anode interfaces in high-concentration SPEs by LiDFBOP.Optimized electrolyte exhibits superior ionic conductivity and remarkable interface compatibility with salt-rich clusters:（1）polymer-plastic crystal electrolyte（P-PCE,TPU-SN matrix） dissociates ion pairs to facilitate Li+transport in the electrolyte and regulates Li+diffusion in the SEI.The crosslinking structure of the matrix compensates for the loss of mechanical strength at high-salt concentrations;（2） dual-anion TFSI-_n-DFBOP-min the Li+solvation sheath facilitates facile Li+desolvation and formation of salt-rich clusters and is conducive to the formation of Li conductive segments of TPU-SN matrix;（3） theoretical calculations indicate that the decomposition products of LiDFBOP form SEI with lower binding energy with LiF in the SN system,thereby enhancing the interfacial electrochemical redox kinetics of SPE and creating a solid interface SEI layer rich in LiF.As a result,the optimized electrolyte exhibits an excellent ionic conductivity of9.31 × 10-4S cm-1at 30℃ and a broadened electrochemical stability up to 4.73 V.The designed electrolyte effectively prevents the formation of Li dendrites in Li symmetric cells for over 6500 h at0.1 mA cm-2.The specific Li-Si alloy-solid state half-cell capacity shows 711.6 mAh g-1after 60 cycles at 0.3 A g-1. Excellent rate performance and cycling stability are achieved for these solid-state batteries with Li-Si alloy anodes and NCM 811 cathodes.NCM 811‖ Prelithiated silicon-based anode solid-state cell delivers a discharge capacity of 195.55 mAh g-1and a capacity retention of 97.8% after 120 cycles.NCM 811‖Li solid-state cell also delivers capacity retention of 84.2% after 450 cycles.

关键词： Li-Si alloy anode Prelithiation SEI layer Solid-state electrolyte

Textured Perovskite/Silicon Tandem Solar Cells Achieving Over 30% Efficiency Promoted by 4-Fluorobenzylamine Hydroiodide

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Nano-Micro Letters 2024年第9期16卷 557-570页

作者： Jingjing Liu Biao Shi Qiaojing Xu Yucheng Li yuxiang Li Pengfei Liu Zetong SunLi Xuejiao Wang Cong Sun Wei Han Diannan Li Sanlong Wang Dekun Zhang Guangwu Li Xiaona Du Ying zhao Xiaodan Zhang Renewable Energy Conversion and Storage Center Solar Energy Conversion CenterInstitute of Photoelectronic Thin Film Devices and TechnologyNankai UniversityTianjin 300350People’s Republic of China Key Laboratory of Photoelectronic Thin Film Devices and Technology of Tianjin Tianjin 300350People’s Republic of China Haihe Laboratory of Sustainable Chemical Transformations Tianjin 300192People’s Republic of China Engineering Research Center of Thin Film Photoelectronic Technology of Ministry of Education Tianjin 300350People’s Republic of China Collaborative Innovation Center of Chemical Science and Engineering(Tianjin) Tianjin 300072People’s Republic of China Center of Single‑Molecule Sciences Institute of Modern OpticsTianjin Key Laboratory of Micro‑Scale Optical Information Science and TechnologyCollege of Electronic Information and Optical EngineeringNankai University38 Tongyan RoadJinnan DistrictTianjin 300350People’s Republic of China Shenzhen Research Institute of Nankai University 16Th FloorYantian Science and Technology BuildingHaishan StreetYantian DistrictShenzhen 518083People’s Republic of China

Monolithic textured perovskite/silicon tandem solar cells(TSCs)are expected to achieve maximum light capture at the lowest cost,potentially exhibiting the best power conversion efficiency.However,it is challenging to fabricate high-quality perovskite films and preferred crystal orientation on commercially textured silicon substrates with micrometersize pyramids.Here,we introduced a bulky organic molecule(4-fluorobenzylamine hydroiodide(F-PMAI))as a perovskite additive.It is found that F-PMAI can retard the crystallization process of perovskite film through hydrogen bond interaction between F^(−)and FA^(+)and reduce(111)facet surface energy due to enhanced adsorption energy of F-PMAI on the(111)facet.Besides,the bulky molecular is extruded to the bottom and top of perovskite film after crystal growth,which can passivate interface defects through strong interaction between F-PMA+and undercoordinated Pb^(2+)/I^(−).As a result,the additive facilitates the formation of large perovskite grains and(111)preferred orientation with a reduced trap-state density,thereby promoting charge carrier transportation,and enhancing device performance and stability.The perovskite/silicon TSCs achieved a champion efficiency of 30.05%based on a silicon thin film tunneling junction.In addition,the devices exhibit excellent longterm thermal and light stability without encapsulation.This work provides an effective strategy for achieving efficient and stable TSCs.

关键词： Perovskite crystallization (111)preferred orientation Defect passivation Perovskite/silicon tandem solar cells

A Golden2-like transcription factor, BnGLK1a, improves chloroplast development, photosynthesis, and seed weight in rapeseed

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Journal of Integrative Agriculture 2024年第5期23卷 1481-1493页

作者： Qianwei zhang Yuanyi Mao Zikun zhao Xin Hu Ran Hu Nengwen Yin Xue Sun Fujun Sun Si Chen yuxiang jiang Liezhao Liu Kun Lu Jiana Li Yu Pan Integrative Science Center of Germplasm Creation in Western China(Chongqing)Science City Southwest UniversityChongqing 400715China Academy of Agricultural Sciences Southwest UniversityChongqing 400715China Engineering Research Center of South Upland Agriculture Ministry of EducationChongqing 400715China Key Laboratory of Horticulture Science for Southern Mountainous Regions Ministry of Education/College of Horticulture and Landscape ArchitectureSouthwest UniversityChongqing 400715China

Enhancing photosynthetic efficiency is a major goal for improving crop yields under agricultural field conditions and is associated with chloroplast biosynthesis and development.In this study,we demonstrate that Golden2-like 1a(BnGLK1a)plays an important role in regulating chloroplast development and photosynthetic efficiency.Overexpressing BnGLK1a resulted in significant increases in chlorophyll content,the number of thylakoid membrane layers and photosynthetic efficiency in Brassica napus,while knocking down BnGLK1a transcript levels through RNA interference(RNAi)had the opposite effects.A yeast two-hybrid screen revealed that BnGLK1a interacts with the abscisic acid receptor PYRABACTIN RESISTANCE 1-LIKE 1-2(BnPYL1-2)and CONSTITUTIVE PHOTOMORPHOGENIC 9 SIGNALOSOME 5A subunit(BnCSN5A),which play essential roles in regulating chloroplast development and photosynthesis.Consistent with this,BnGLK1a-RNAi lines of B.napus display hypersensitivity to the abscisic acid(ABA)response.Importantly,overexpression of BnGLK1a resulted in a 10%increase in thousand-seed weight,whereas seeds from BnGLK1a-RNAi lines were 16%lighter than wild type.We propose that BnGLK1a could be a potential target in breeding for improving rapeseed productivity.Our results not only provide insights into the mechanisms of BnGLK1a function,but also offer a potential approach for improving the productivity of Brassica species.

关键词： Brassica napus BnGLK1a chloroplast development photosynthetic efficiency yield

CircuitNet: an open-source dataset for machine learning applications in electronic design automation(EDA)

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Science China(Information Sciences) 2022年第12期65卷 313-314页

作者： Zhuomin CHAI yuxiang zhao Yibo LIN Wei LIU Runsheng WANG Ru HUANG School of Integrated Circuits Peking University School of Physics and Technology Wuhan University

The electronic design automation(EDA) community has been actively exploring machine learning(ML) for very large-scale integrated computer-aided design(VLSI CAD).Many studies explored learning-based techniques for cross-stage prediction tasks in the design flow to achieve faster design convergence. Although building ML models usually requires a large amount of data,

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Virtual simulation experiment of the design and manufacture of a beer bottle-defect detection system

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Virtual Reality & Intelligent Hardware 2020年第4期2卷 354-367页

作者： yuxiang zhao Xiaowei AN Nongliang SUN College of Electronic and Information Engineering Shandong University of Science and TechnologyQingdao 266590China College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China

Background Machine learning-based beer bottle-defect detection is a complex technology that runs automatically;however,it consumes considerable memory,is expensive,and poses a certain danger when training novice operators.Moreover,some topics are difficult to learn from experimental lectures,such as digital image processing and computer vision.However,virtual simulation experiments have been widely used to good effect within education.A virtual simulation of the design and manufacture of a beer bottle-defect detection system will not only help the students to increase their image-processing knowledge,but also improve their ability to solve complex engineering problems and design complex systems.Methods The hardware models for the experiment(camera,light source,conveyor belt,power supply,manipulator,and computer)were built using the 3DS MAX modeling and animation software.The Unreal Engine 4(UE4)game engine was utilized to build a virtual design room,design the interactive operations,and simulate the system operation.Results The results showed that the virtual-simulation system received much better experimental feedback,which facilitated the design and manufacture of a beer bottle-defect detection system.The specialized functions of the functional modules in the detection system,including a basic experimental operation menu,power switch,image shooting,image processing,and manipulator grasping,allowed students(or virtual designers)to easily build a detection system by retrieving basic models from the model library,and creating the beer-bottle transportation,image shooting,image processing,defect detection,and defective-product removal.The virtual simulation experiment was completed with image processing as the main body.Conclusions By mainly focusing on bottle mouth defect detection,the detection system dedicates more attention to the user and the task.With more detailed tasks available,the virtual system will eventually yield much better results as a training tool for image processing education.In addition,a novel

关键词： Virtual simulation experiment Beer bottle defect detection Image processing Training tool

信息弱势群体算法素养的形成机理与影响因素——以短视频平台为例

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图书情报知识 2024年第2期41卷 127-137页

作者：张惠舒赵宇翔宋士杰南京理工大学经济管理学院南京210094 河海大学商学院南京210094 武汉大学信息管理学院武汉430072

[目的/意义]结合当前个性化推荐算法的广泛应用,梳理信息弱势群体在使用短视频平台过程中算法素养的形成机理,识别信息弱势群体算法素养的影响因素,为信息弱势群体算法素养培育工作提供依据。[研究设计/方法]采用扎根理论,利用Nvivo12... 详细信息

[目的/意义]结合当前个性化推荐算法的广泛应用,梳理信息弱势群体在使用短视频平台过程中算法素养的形成机理,识别信息弱势群体算法素养的影响因素,为信息弱势群体算法素养培育工作提供依据。[研究设计/方法]采用扎根理论,利用Nvivo12对访谈资料进行三阶段编码,最终构建信息弱势群体与短视频内容推荐算法交互中算法素养的形成机理与影响因素模型,对信息弱势群体的算法素养展开探索性研究。[结论/发现]信息弱势群体在短视频平台的使用过程中对内容推荐算法的感知主要由与算法的交互、用户兴趣点的变化、使用平台的更换、与他人的比较所触发,同时受用户使用短视频平台的目的以及自主权意识的影响。此外,算法素养的各组成部分之间并不独立:用户对内容推荐算法逻辑的理解水平受其对算法的感知程度影响。理解内容推荐算法较深的用户在使用短视频平台时会保持较为批判的态度,并采取积极的算法调控行为。[创新/价值]深化了短视频平台交互中算法素养的形成机理并提炼了相关影响因素,为信息弱势群体算法素养培育工作提供对策。

关键词：信息弱势群体算法素养算法调控形成机理影响因素

老年人旅游信息行为类型及影响因素研究——基于活动理论的视角

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情报科学 2024年第2期42卷 182-191页

作者：吴大伟赵宇翔张妍南京理工大学经济管理学院江苏南京210094 南京大学数据管理创新研究中心江苏苏州215163 南京大学数字经济与管理学院江苏苏州215163

【目的/意义】银发旅游正在成为促进老年人“老有所乐”的新模式。通过探究老年人在旅游过程中信息行为的影响因素和逻辑内涵,可以为多方主体推动健康、积极的老年人旅游活动提供建议。【方法/过程】本文对24名老年旅行者进行深度访谈,... 详细信息

【目的/意义】银发旅游正在成为促进老年人“老有所乐”的新模式。通过探究老年人在旅游过程中信息行为的影响因素和逻辑内涵,可以为多方主体推动健康、积极的老年人旅游活动提供建议。【方法/过程】本文对24名老年旅行者进行深度访谈,以活动理论为分析框架,采用扎根理论对访谈资料进行探索性编码分析。【结果/结论】研究发现,老年人旅游信息行为包括信息获取、信息利用、内容创作、内容分享四种类型;参与动机、角色类别和特质、技术示能性、主客观条件、社会支持、分工合作是影响老年人旅游信息行为的核心因素。不同影响因素在活动理论子系统中分别影响了不同类型的老年人旅游信息行为。本研究可以为多方主体从供给侧和需求侧促进老年人智慧旅游活动提供启示。【创新/局限】借助活动理论框架,本文系统和动态地解读了老年人旅游信息行为的阶段性生发机理。然而本研究在大样本推广性、编码开放性、研究方法、示能性解读方面存在局限性。

关键词：老年人旅游信息行为活动理论技术示能性扎根理论