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The effect of surface electronic structures of Au/TiO_2 on sonophotochemical reactions

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Chinese Chemical Letters 2018年第6期29卷 783-786页

作者： Kun Qian evan wenbo zhao Shuai He Wei David Wei Department of Chemistry and Center for Catalysis University of Florida Department of Chemical Physics University of Science and Technology of China

Sonophotocatalysis combines ultrasonic and light irradiations to drastically boost the chemical reaction rate and has attracted many interests for its potential applications in the environmental remediation and protection. However, it still remains unclear whether the light irradiation could couple with the ultrasound to prompt the sonophotocatalytic process. Here, we selectively excited the TiO2 and Au to manipulate the electronic structures of Au/TiO2 and studied their influence in sonophotocatalytic water（H2 O） reduction. Surprisingly, no significant increase of the hydrogen（H2） production rate was observed under either the UV light irradiation or the visible light irradiation, suggesting that the change in electronic structures of Au/TiO2 does not prompt the generation of free radicals under sonication and the reaction is dominated by the recovery of active sites through ultrasound. Our findings established an indepth understanding of the origin of the enhanced catalytic activity in sonophotocatalysis.

关键词： Sonophotocatalysis Localized surface plasmon resonance Electronic structure Water reduction Au/TiO2

Qualitative analysis of aromatic compounds via 1D TOCSY techniques

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Magnetic Resonance Letters 2024年第1期4卷 21-27页

作者： wenbo Dong Qi zhao Jiancheng zhao Jiarong Zhang Yingxiong Wang Yan Qiao State Key Laboratory of Coal Conversion Institute of Coal ChemistryChinese Academy of Sciences27 South Taoyuan RoadTaiyuan030001China Graduate University of Chinese Academy of Sciences Beijing100049China Marine Biomedical Research Institution Guangdong Medical UniversityZhanjiang524023China College of Chemistry Taiyuan University of Technology79 Yingze West StreetWanbailin DistrictTaiyuan030024China

The aromatic compounds,including o-xylene,m-xylene,p-xylene,and ethylbenzene,primarily originate from the catalytic reforming of crude oil,and have a wide variety of ap***,because of similar physical and chemical properties,these compounds are difficult to be identified by gas chromatography(GC)without standard *** the development of modern nuclear magnetic resonance(NMR)techniques,NMR has emerged as a powerful and efficient tool for the rapid analysis of complex and crude mixtures without *** this study,the parameters of one-dimensional(1D)total correlation spectroscopy(TOCSY)NMR techniques,including 1D selective gradient TOCSY and 1D chemicalshift-selective filtration(CSSF)with TOCSY,were optimized to obtain comprehensive molecular structure *** results indicate that the overlapped signals in NMR spectra of nonpolar aromatic compounds(including o-xylene,m-xylene,p-xylene and ethylbenzene),polar aromatic compounds(benzyl alcohol,benzaldehyde,benzoic acid),and aromatic compounds with additional conjugated bonds(styrene)can be resolved in 1D *** importantly,full molecular structures can be clearly distinguished by setting appropriate mixing time in 1D *** approach simplifies the NMR spectra,provides structural information of entire molecules,and can be applied for the analysis of other structural isomers.

关键词： 1D TOCSY NMR technologies Xylenes Aromatic compounds Structure information of entire molecular Qualitative analysis

Understanding Surface Water-Groundwater Conversion Relationship and Associated Hydrogeochemistry Evolution in the Upper Reaches of Luan River Basin, North China

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Journal of Earth Science 2024年第3期35卷 1010-1023页

作者： Le zhao Chunli Su wenbo Liu Xianjun Xie School of Environmental Studies China University of GeosciencesWuhan 430078China State Environmental Protection Key Laboratory of Source Apportionment and Control of Aquatic Pollution Ministry of Ecology and EnvironmentWuhan 430078China China Geological Environmental Monitoring Institute Beijing 100081China

Luan River is the main water source in Beijing-Tianjin-Hebei region,northern China,where the groundwater system is vulnerable and pollution issue is *** is significant for regional groundwater resources protection to identify the hydrogeochemistry evolution and affecting factors along flow direction occurred in the upper reaches,especially the surface water-groundwater(SWGW)conversion *** this study,recharge,conversion and geochemistry evolution of SW and GW were elucidated based on physical-hydrochemical indicators and stable isotopes in 36 GW samples and 20 SW samples,which were collected in July 2019 and July *** factor analysis was further utilized to determine the main factors responsible for regional hydrogeochemical *** indicate that GW recharged SW in plateau area,and SW and GW recharged each other in typical Alpine valley *** hydrochemical types are HCO3-Ca·Mg and HCO3-Ca,and the hydrochemical evolution is dominated by weathering of silicate and carbonate *** cation exchange adsorption has minor impact on groundwater *** rise of SO42-and NO3-contents in groundwater is related to industrial and agricultural *** main controlling factors of SW hydrochemical components included recharge from groundwater,industrial and mining activities,explaining 90.04%of data ***,water-rock interaction,agricultural and domestic sewage are responsible for GW quality,accounting for 83.38%.

关键词： groundwater water sources conversion relationship hydrogeochemical characteristics evolutional processes water-rock interaction factor analysis Luan River Basin.

Encoding biological metaverse: Advancements and challenges in neural fields from macroscopic to microscopic

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The Innovation 2024年第3期5卷 30-32页

作者： Yantong Cai wenbo Hu Yao Pei Hao zhao Guangchuang Yu Dermatology Hospital Southern Medical UniversityGuangzhou 266003China Department of Bioinformatics School of Basic Medical SciencesSouthern Medical UniversityGuangzhou 510515China Tencent AI Lab Shenzhen 518071China State Key Laboratory of Emerging Infectious Diseases School of Public HealthThe University of Hong KongHong Kong SARChina Laboratory of Data Discovery for Health(D24H) Hong Kong Science ParkHong Kong SARChina Institute for AI Industry Research Tsinghua UniversityBeijing 100000China

Neural fields can efficiently encode three-dimensional(3D)scenes,providing a bridge between two-dimensional(2D)images and virtual *** method becomes a trendsetter in bringing the metaverse into vivo *** has initially captured the attention of macroscopic biology,as demonstrated by computed tomography and magnetic resonance imaging,which provide a 3D field of view for diagnostic biological ***,it has also opened up new research opportunities in microscopic imaging,such as achieving clearer de novo protein structure *** this method to the field of biology is particularly significant,as it is refining the approach to studying biological ***,many biologists have yet to fully appreciate the distinctive meaning of neural fields in transforming 2D images into 3D *** article discusses the application of neural fields in both microscopic and macroscopic biological images and their practical uses in biomedicine,highlighting the broad prospects of neural fields in the future biological *** stand at the threshold of an exciting new era,where the advancements in neural field technology herald the dawn of exploring the mysteries of life in innovative ways.

关键词： neural bringing innovative

Method for the real-time detection of tomato ripeness using a phenotype robot and RP-YolactEdge

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International Journal of Agricultural and Biological Engineering 2024年第2期17卷 200-210页

作者： Yuanqiao Wang wenbo Gou Chuanyu Wang Jiangchuan Fan Weiliang Wen Xianju Lu Xinyu Guo Chunjiang zhao College of Information Engineering Northwest A&F UniversityYangling 712100ShaanxiChina China National Engineering Research Center for Information Technology in Agriculture(NERCITA) Beijing 100097China Beijing Key Laboratory of Digital Plant Beijing Research Center for Information Technology in AgricultureBeijing 100097China Beijing PAIDE Science and Technology Development Co. Ltd.Beijing 100097China

In order to address the challenge of non-destructive detection of tomato fruit ripeness in controlled environments,this study proposed a real-time instance segmentation method based on the edge *** method combined the principles of phenotype robots and machine vision based on deep learning.A compact and remotely controllable phenotype detection robot was employed to acquire precise data on tomato *** video data were then processed by using an efficient backbone and the FeatFlowNet structure for feature extraction and analysis of key-frame to non-key-frame mapping from video *** enhance the diversity of training datasets and the generalization of the model,an innovative approach was chosen by using random enhancement ***,the PolyLoss optimization technique was applied to further improve the accuracy of the ripeness multi-class detection *** validation,the method of this study achieved real-time processing speeds of 90.1 fps(RTX 3070Ti)and 65.5 fps(RTX 2060 S),with an average detection accuracy of 97%compared to manually measured *** is more accurate and efficient than other instance segmentation models according to actual testing in a ***,the results of this research can be deployed in edge devices and provide technical support for unmanned greenhouse monitoring devices or fruit-picking robots in facility environments.

关键词： instance segmentation phenotype robot tomato greenhouse-based plant phenotyping ripeness detection

Recent progress and future prospects of high-entropy materials for battery applications

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Journal of Semiconductors 2024年第3期45卷 4-8页

作者： wenbo Qiu Zidong Wang Shijiang He Huaping zhao Yong Lei Institute of Nanochemistry and Nanobiology School of Environmental and Chemical EngineeringShanghai UniversityShanghai 200444China Fachgebiet Angewandte Nanophysik Institut für Physik&IMN MacroNanoTechnische Universität IlmenauIlmenau98693Germany

Due to the energy crisis caused by limited fossil fuel reserves,extensive use of the renewable energy sources such as wind or solar energy is deemed to replace the use of traditional fossil fuels in the future^([1−3]).However,most renewable energy sources face the same problem,which is the intermittency of *** example,solar energy cannot be utilized at *** means the continuous energy demand required for large-scale power grids can’t be satisfied by a single solar panel model.

关键词： battery replace entropy

Genomic investigation and nationwide tracking of pediatric invasive nontyphoidal Salmonella in China

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mLife 2024年第1期3卷 156-160页

作者： Yefang Ke Lin Teng Zhe Zhu wenbo Lu Wenyuan Liu Haiyang Zhou Qi Yu Lina Ye Pan Zhu Guoping zhao Min Yue Deparment of Clinical Laboratory Ningbo Women and Children's HospitalNingboChina Department of Veterinary Medicine Zhejiang University Cllege of Animal SciencesHangzhouChina Department of Blood Transfusion Ningbo No.2 HospitalNingboChina Office of Screening Ningbo Women and Children's HospitalNingboChina Neonatal Intensive Care Unit Ningbo Women and Children's HospitalNingboChina School of Life Science Hangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhouChina CAS Key Laboratory of Synthetic Biology Institute of Plant Physiology and EcologyShanghai Institutes for Biological SciencesChinese Academy of SciencesShanghaiChina Department of Microbiology and Microbial Engineering School of Life SciencesFudan UniversityShanghaiChina State Key Laboratory for Diagnosis and Treatment of Infectious Diseases National Clinical Research Center for Infectious DiseasesNational Medical Center for Infectious DiseasesThe First Affiliated HospitalCollege of MedicineZhejiang UniversityHangzhouChina Hainan Institute of Zhejiang University SanyaChina

Impact Statement。Invasive nontyphoidal Salmonella(iNTS)causes significant concern with~15%morbidity,affecting populations mainly in African countries.

关键词： pediatric nationwide morbidity

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静电纺丝阻燃纳米纤维的研究进展

复合材料学报 2024年第6期41卷 2801-2814页

作者：鲍艳赵海航高璐张文博陕西科技大学轻工科学与工程学院(柔性电子学院) 西安710021 陕西科技大学轻化工程国家级实验教学示范中心西安710021

静电纺丝纳米纤维具有可调控的纤维直径和分布、相互连通的孔结构、高孔隙率、高比表面积、可控纤维堆积密度等优点,成为近年来研究的热点。阻燃性是高分子材料的重要特性,阻燃纤维相较普通纤维具有使用安全性高的特点,研发具有阻燃特... 详细信息

静电纺丝纳米纤维具有可调控的纤维直径和分布、相互连通的孔结构、高孔隙率、高比表面积、可控纤维堆积密度等优点,成为近年来研究的热点。阻燃性是高分子材料的重要特性,阻燃纤维相较普通纤维具有使用安全性高的特点,研发具有阻燃特性的纳米纤维具有重要意义。静电纺丝技术提供了将纳米颗粒结合到聚合物溶液中并获得具有多种功能复合纤维材料的可能性。基于此,本文综述了采用静电纺丝技术制备阻燃纳米纤维的研究进展,特别是对静电纺丝阻燃纳米纤维的结构进行了分类,主要包括共混结构、核-壳结构、并列结构和多孔结构,并总结了不同结构阻燃纳米纤维的优缺点。然后对静电纺丝阻燃纳米纤维在锂离子电池隔膜、空气过滤、火灾报警传感、防护材料等领域的应用进行了归纳,最后对静电纺丝阻燃纳米纤维未来的发展方向进行了展望。

关键词：静电纺丝阻燃纳米纤维结构应用

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人机协同影响就业质量的机理探寻与实证检验

吉首大学学报（社会科学版） 2024年第3期45卷 72-83页

作者：赵恒春张文博河北省社会科学院人力资源与劳动经济研究所河北石家庄050051 重庆大学管理科学与房地产学院重庆400045

人机协同模式是一种结合人类智能和人工智能的新型工作方式,是技术进步与人力资本的有效融合,对劳动就业产生了深远影响。一项聚焦劳动者对就业质量的主观评价性的研究,以271名已落地人工智能技术或设备的企业员工为样本,以人机协同程... 详细信息

人机协同模式是一种结合人类智能和人工智能的新型工作方式,是技术进步与人力资本的有效融合,对劳动就业产生了深远影响。一项聚焦劳动者对就业质量的主观评价性的研究,以271名已落地人工智能技术或设备的企业员工为样本,以人机协同程度为自变量,构建被调节的链式中介模型,从微观层面考察劳动者对人工智能应用的情感体验和认知态度。研究发现,人机协同程度有助于提高劳动者对就业质量的主观评价,这一机制主要通过自我效能感和职业适应力的中介作用实现,且工作自主性显著调节以上作用路径。表明智能化工作环境下不同属性的因素在影响劳动者对就业质量主观评价方面存在不同的机制和传导路径,且在这一智能化工作环境下,工作自主性作为工作特征,权变影响着劳动者对就业质量的主观评价。因此,完善法规体系、出台相关政策规范就业结构,织密社会保障网络、兜牢民生保障底线,加大宣传与普及力度、引导劳动者树立正确认知,可形成和谐互补的人机关系,防范化解潜在失业风险,提升劳动者的获得感和满意度,实现人工智能技术进步与就业规模和结构的良性耦合。

关键词：人机协同人工智能就业质量自我效能感职业适应力工作自主性