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Decorating ketjen black with ultra-small Mo_(2)C nanoparticles to enhance polysulfides chemisorption and redox kinetics for lithium-sulfur batteries

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Journal of Energy Chemistry 2020年第12期29卷 207-215页

作者： Nan Jiang Guangyu Jiang Dechao Niu Jiayi Mao Meiwan Chen kaiyuan li Yongsheng li Lab of Low-Dimensional Materials Chemistry Key Laboratory for Ultrafine Materials of Ministry of Education.School of Materials Science and EngineeringEast China University of Science and TechnologyShanghai 200237China

The low sulfur utilization and fast capacity fading resulting from the sluggish redox reaction and abominable polysulfides shuttle greatly hinder the practical applications of lithium-sulfur(li-S) ***, we develop a facile "in-situ growth" method to decorate ultra-small Mo2 C nanoparticles(USMo2 C) on the surface of Ketjen Black(KB) to functionalize the commercial polypropylene(PP) separators,which can accelerate the redox kinetics of lithium polysulfides conversion and effectively increase the utilization of sulfur for li-S batteries. Importantly, the US-Mo2 C nanoparticles have abundant sites for chemical adsorption towards polysulfides and the conductive carbon networks of KB have cross-linked pore channels, which can promote electron transport and provide physical barrier and volume expansion space for polysulfides. Due to the combined effects of the US-Mo2 C and KB, li-S cells employing the multifunctional PP separators modified with KB/US-Mo2 C composite(KB/US-Mo2 C@PP) exhibit a high specific capacity(1212.8 mAh g^(-1) at 0.2 C), and maintain a reversible capacity of 1053.3 m Ah g^(-1) after 100 *** importantly, the KB/US-Mo2 C@PP cells with higher sulfur mass loading of 4.9 mg cm^(-2) have superb areal capacity of 2.3 mAh cm^(-2). This work offers a novel and promising perspective for high-performance li-S batteries from both the shuttle effect and the complex polysulfides conversion.

关键词： in-situ growth Ultra-small Mo_(2)C Catalytic effect Chemisorption Multifunctional separator lithium-sulfur batteries

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Morphological Tracing and Functional Identification of Monosynaptic Connections in the Brain:A Comprehensive Guide

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Neuroscience Bulletin 2024年第9期40卷 1364-1378页

作者： Yuanyuan li Yuanyuan Fang kaiyuan li Hongbin Yang Shumin Duan li Sun Affiliated Mental Health Center and Hangzhou Seventh People’s Hospital and School of Brain Science and Brain Medicine Zhejiang University School of MedicineHangzhou310058China liangzhu Laboratory MOE Frontier Science Center for Brain Science and Brain-machine IntegrationState Key Laboratory of Brain-machine IntelligenceZhejiang UniversityHangzhou311121China NHC and CAMS Key Laboratory of Medical Neurobiology Zhejiang UniversityHangzhou310058China Department of Neurobiology and Department of Neurology of the Second Affiliated Hospital Zhejiang University School of MedicineHangzhou310058China Institute of Basic Medical Sciences Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100005China

Behavioral studies play a crucial role in unraveling the mechanisms underlying brain *** advances in optogenetics,neuronal typing and labeling,and circuit tracing have facilitated the dissection of the neural circuitry involved in various important *** identification of monosynaptic connections,both upstream and downstream of specific neurons,serves as the foundation for understanding complex neural circuits and studying behavioral ***,the practical implementation and mechanistic understanding of monosynaptic connection tracing techniques and functional identification remain challenging,particularly for inexperienced *** application of these methods and misinterpretation of results can impede experimental progress and lead to erroneous *** this paper,we present a comprehensive description of the principles,specific operational details,and key steps involved in tracing anterograde and retrograde monosynaptic *** outline the process of functionally identifying monosynaptic connections through the integration of optogenetics and electrophysiological techniques,providing practical guidance for researchers.

关键词： Trans-monosynaptic Retrograde Anterograde Viral tool Neural circuit Optogenetics Electrophysiology

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Large eddy simulation of room fire spread using a medium scale compartment made of medium density fibreboard (MDF) panels

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Building Simulation 2022年第4期15卷 495-510页

作者： Jiayidaer Baolati kaiyuan li Yanyan Zou Kevin Frank George Hare Jiaqing Zhang Fanliang Ge School of Safety Science and Emergency Management Wuhan University of TechnologyLuoshi Road 122Wuhan 430070China BRANZ Private Bog 50908Porirua 5240New Zealand Electric Power Research Institute State Grid Anhui Electric Power Co.LTDHefei 230601China State Key Laboratory of Fire Science University of Science and Technology of ChinaHefei 230027China

At present,there is a shortage of experimental and simulation studies on fire spread in medium-and large-scale compartments while the existing models of the fire spread are limited for typical engineering *** paper proposes a new model for large-scale fire spread on medium density fibreboard(MDF)*** the model with single burning item(SBI)experiments,it is found that the numerical simulation closely predicts the experimental heat release rate(HRR)with some error near the *** predicted heat flux and distance of lateral flame spread are consistent with the experiments and an existing *** effects of kinetic properties and heat of combustion are identified through a sensitivity *** decrease of activation energy and increase of pre-exponential factor make the MDF easier to pyrolyze and the increase of heat of combustion enhances the flame temperature and thus provide more heat feedback to the sample *** low activation energy(71.9 kJ/mol)and high heat of combustion(46.5 MJ/kg)of the model ensure the occurrence of flame ***,the model was validated using medium-scale compartment fire experiments and the results showed that the model can accurately predict the HRR after flashover(the error is within 7%).While the burner is ignited,the predictions of in-compartment gas temperature and heat flux are more ***,when the burner is extinguished,the modelled in-compartment gas temperature is lower than the experimental values,resulting in a lower heat flux *** model leads to easier flame spread;therefore,the modelled flame spreads faster in the compartment compared to the experiment,and thus the HRR increases more rapidly.

关键词： flame spread compartment fire SBI numerical simulation MDF activation energy

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Borate-Modified,Flame-Retardant Paper Packaging Materials for Archive Conservation

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Journal of Renewable Materials 2022年第4期10卷 1125-1136页

作者： Juanli Wang Ming Cao Jiaxin li kaiyuan li Xiaolian Chao Bingjie Mai Yuhu li Jing Cao Engineering Research Center of Historical and Cultural Heritage Protection Ministry of EducationSchool of Materials Science and EngineeringShaanxi Normal UniversityXi’an710119China Ningbo University of Finance&Economics Ningbo315175China

Paper packaging materials like cardboards are widely used to protect archives which are a major kind of cultural ***,paper is a combustible material,and thus exploring environment-friendly flame retardant for paper-based archive packaging material plays an important ***,boric acid,borax and disodium octaborate are used to modify the craft paper-based packaging materials for archive conservation to improve fire *** modified craft paper exhibits much higher flame retardancy than the pristine one dose based on vertical burning tests,without much influence on mechanical properties such as tensile strength and elongation at *** analysis(TGA),scanning electron microscope(SEM),and X-ray photoelectron spectroscopy(XPS)reveal that porous glass structure is formed during the combustion,because thermal decomposition of boric acid,borax and disodium octaborate will produce porous glassy matter as B_(2)O_(3).The porous glass covers the paper surface as an insulating layer which retards the further pyrolysis and combustion,resulting in a denser carbon *** study provides a robust way to reduce the fire hazard of the archive packaging material by applying environment-friendly boron-based fire retardants.

关键词： Paper packaging materials archive conservation flame retardant

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MPFracNet:A Deep Learning Algorithm for Metacarpophalangeal Fracture Detection with Varied Difficulties

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Computers, Materials & Continua 2023年第4期75卷 999-1015页

作者： Geng Qin Ping Luo kaiyuan li Yufeng Sun Shiwei Wang Xiaoting li Shuang liu linyan Xue College of Quality and Technical Supervision Hebei UniversityBaoding071002China Hebei Technology Innovation Center for lightweight of New Energy Vehicle Power System Baoding071002China National&Local Joint Engineering Research Center of Metrology Instrument and System Hebei UniversityBaoding071002China

Due to small size and high occult,metacarpophalangeal fracturediagnosis displays a low accuracy in terms of fracture detection and locationin X-ray *** efficiently detect metacarpophalangeal fractures on Xrayimages as the second opinion for radiologists,we proposed a novel onestageneural network namedMPFracNet based ***,a deformable bottleneck block(DBB)was integrated into the bottleneckto better adapt to the geometric variation of the ***,an integrated feature fusion module(IFFM)was employed to obtain morein-depth semantic and shallow detail ***,Focal Loss andBalanced L1 Loss were introduced to respectively attenuate the imbalancebetween positive and negative classes and the imbalance between detectionand location *** assessed the proposed model on the test set andachieved an AP of 80.4%for the metacarpophalangeal fracture *** estimate the detection performance for fractures with different difficulties,the proposed model was tested on the subsets of metacarpal,phalangeal andtiny fracture test sets and achieved APs of 82.7%,78.5%and 74.9%,*** proposed framework has state-of-the-art performance for detectingmetacarpophalangeal fractures,which has a strong potential application valuein practical clinical environments.

关键词： Deep learning small object detection metacarpophalangeal fractures computer-aided diagnosis(CAD)

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Multi-Classification of Polyps in Colonoscopy Images Based on an Improved Deep Convolutional Neural Network

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Computers, Materials & Continua 2023年第6期75卷 5837-5852页

作者： Shuang liu Xiao liu Shilong Chang Yufeng Sun kaiyuan li Ya Hou Shiwei Wang Jie Meng Qingliang Zhao Sibei Wu Kun Yang linyan Xue College of Quality and Technical Supervision Hebei UniversityBaoding071002China Hebei Technology Innovation Center for lightweight of New Energy Vehicle Power System Baoding071002China National&Local Joint Engineering Research Center of Metrology Instrument and System Hebei UniversityBaoding071002China College of Electronic Information Engineering Hebei UniversityBaoding071002China Department of Orthopedics Affiliated Hospital of Hebei UniversityBaoding071002China State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics Center for Molecular Imaging and Translational MedicineDepartment of Laboratory MedicineSchool of Public HealthXiamen UniversityXiamen361102China

Achieving accurate classification of colorectal polyps during colonoscopy can avoid unnecessary endoscopic biopsy or *** study aimed to develop a deep learning model that can automatically classify colorectal polyps histologically on white-light and narrow-band imaging(NBI)colonoscopy images based on World Health Organization(WHO)and Workgroup serrAted polypS and Polyposis(WASP)classification criteria for colorectal ***-light and NBI colonoscopy images of colorectal polyps exhibiting pathological results were firstly collected and classified into four categories:conventional adenoma,hyperplastic polyp,sessile serrated adenoma/polyp(SSAP)and normal,among which conventional adenoma could be further divided into three sub-categories of tubular adenoma,villous adenoma and villioustublar adenoma,subsequently the images were re-classified into six *** this paper,we proposed a novel convolutional neural network termed Polyp-DedNet for the four-and six-category classification tasks of colorectal *** on the existing classification network ResNet50,Polyp-DedNet adopted dilated convolution to retain more high-dimensional spatial information and an Efficient Channel Attention(ECA)module to improve the classification performance *** eliminate gridding artifacts caused by dilated convolutions,traditional convolutional layers were used instead of the max pooling layer,and two convolutional layers with progressively decreasing dilation were added at the end of the *** to the inevitable imbalance of medical image data,a regularization method DropBlock and a Class-Balanced(CB)Loss were performed to prevent network ***,the 5-fold cross-validation was adopted to estimate the performance of Polyp-DedNet for the multi-classification task of colorectal *** accuracies of the proposed Polyp-DedNet for the four-and six-category classifications of colorectal polyps were 89.91%±0.92%and 85.13%±1.10%,respectively.

关键词： Colorectal polyps four-and six-category classifications convolutional neural network dilated residual network

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Differential interformational velocity analysis as an effective direct hydrocarbon indicator under velocity reversal conditions,an example from the anomalously high temperature and over-pressured DF1-1 Gas Field in the Yinggehai Basin,South China Sea

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Petroleum Science 2009年第4期6卷 339-346页

作者： Zhu Hongtao liu Keyu Chen kaiyuan li Min Huang Shengbing Key Laboratory of Tectonics and Petroleum Resources of the Ministry of Education China University of GeosciencesWuhanHubei 430074China CSIRO Petroleum P.O.Box 1130BentleyWA 6102Australia School of Energy Resources China University of GeosciencesBeijing 100083China

In the DF1-1 Gas Field in the Yinggehai Basin, South China Sea, the velocity-depth plot and velocity spectra show significant variations from a linear trend, exhibiting a distinct reversal phenomenon. Velocity parameters derived from velocity spectral analysis of the seismic data and sonic logs indicate that the interval velocity reverses below 2,100 m (2.2 s two-way time (TWT)) in the DF1-1 Gas Field. Some direct hydrocarbon indicators (DHIs) models developed for the shallow strata cannot be simply applied to the moderately to deeply buried strata for direct exploration target recognition because the velocity reversal has caused the middle-deep gas reservoirs to exhibit a moderate or weak seismic amplitude. The hydrocarbon indicator method of “Differential Interformational Velocity Analysis (DIVA)” with the aid of other hydrocarbon indicating techniques was employed to effectively identify DHIs in the middle-deep strata under velocity inversion. The result has shown that the DIVA technique can be effectively used as a DHI in both the shallow and the middle-deep strata in the study area with the shallow strata characterized by Type I DIVA anomaly and the middle-deep strata characterized by the Type II DIVA anomaly.

关键词： DF1-1 Gas Field velocity reversal direct hydrocarbon indicator differential interformational velocity analysis South China Sea

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“历史”释义

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史学理论研究 2006年第2期 130-138页

作者：李开元日本就实大学人文科学部

本文通过对于汉字“历”和“史”,汉字词组“历史”之字源、词源,及其意义之演变的考订,对“历史”的意义作了新的诠释。“历”字之初形初义,以足行经过禾间,表示有序有度的时间经过;“史”字之初形初义,以手持猎具表示事情。“历史”... 详细信息

本文通过对于汉字“历”和“史”,汉字词组“历史”之字源、词源,及其意义之演变的考订,对“历史”的意义作了新的诠释。“历”字之初形初义,以足行经过禾间,表示有序有度的时间经过;“史”字之初形初义,以手持猎具表示事情。“历史”一词的初义,是历代史书;近代以来,发展出学问、教学科目、过去了的事情之过程等诸种意义。汉字“历史”一词,可以规范成为关于历史和历史学的恰切的文字表述,其所表达的时间、事情、空间和人的意义,已经大体上涵盖了历史学的基本要素,这就为史学史和史学思想的发展奠定了坚实的语言文字基础,也包藏着建立汉字系统的历史学理论之深厚的可能性。

关键词： “历史” 学科建设思维方式语言习惯祭祀活动

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Remote Monitoring Algorithm for Unmanned Surface Vessel:A System Based on Classification and Learning

Remote Monitoring Algorithm for Unmanned Surface Vessel:A Sy...

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第40届中国控制会议

作者： Longfei Ma Hsiucheng Wang Fenghua liu kaiyuan li School of Telecommunications Engineering Xidian University

The Unmanned Surface Vessel（USV） is a type of driverless and intelligent vessel capable of automatic *** can perform the extremely dangerous tasks that humans cannot complete. Through a method that combines classification and learning, we have built a remote monitoring system for USV. This system uses the Chebyshev fitting algorithm to process the data features of the UAV working states by preprocessing the telemetry data. Feature vectors substitute the original data. Based on reinforcement learning and PSO-improved SVM, state analysis of the USV is implemented in the Microsoft Foundation Classes（MFC） environment. By comparing with other algorithms, the performance of the designed system verifies its effectiveness, and at the end of this paper, we also discussed the limitations of the algorithm.

关键词： reinforcement learning particle swarm optimization support vector machine unmanned surface vessel remote monitoring system

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减少检查点开销的一种方法

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计算机工程与应用 2000年第2期36卷 4-5,14页

作者：李凯原杨孝宗哈尔滨工业大学计算机科学与工程系哈尔滨150001

设置检查点（ｃｈｅｃｋｐｏｉｎｔｉｎｇ）是容错计算机系统进行故障恢复的重要手段。设置检查点的开销则是影响其性能的一个主要因素。文章提出了一种预先保存部分检查点数据的新方法。该方法不仅能够有效地减少检查点开销，而且具有... 详细信息

设置检查点（ｃｈｅｃｋｐｏｉｎｔｉｎｇ）是容错计算机系统进行故障恢复的重要手段。设置检查点的开销则是影响其性能的一个主要因素。文章提出了一种预先保存部分检查点数据的新方法。该方法不仅能够有效地减少检查点开销，而且具有比较短的检查点延迟。

关键词：故障恢复检查点开销容错计算机系统存储器

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