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One-step exfoliation and deprotonation of ANF/BNNS suspension for constructing 3D vertically aligned skeleton in epoxy-based thermal management composites

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Science China(Technological Sciences) 2022年第11期65卷 2675-2686页

作者： HAN GaoJie XUE PeiWen CAI ZhengHao FENG YueZhan LIU ChunTai SHEN ChangYu key laboratory of Materials Processing and mold Ministry of Education National Engineering Research Center for Advanced Polymer Processing TechnologyZhengzhou UniversityZhengzhou450002China

Two-dimensional(2D)boron nitride nanosheet(BNNS)is promising in polymer-based thermal management materials(TMMs)by pre-constructing three-dimensional(3D)thermally conductive skeleton,but it yet suffers from the challenges of higheffective exfoliation and affinitive compatibility with *** this work,we developed a one-step exfoliation and deprotonation approach by the high-effective ball milling technique to prepare aramid nanofiber(ANF)/BNNS *** the strong collision/shear effect of ball-milling,micron-level h BN sheets were exfoliated into smaller and thinner BNNS with edge functional groups,meanwhile,poly-p-phenylene terephthalamide(PPTA)fibers were split into ANF by dissociating the intermolecular hydrogen *** importantly,both the exfoliation and deprotonation could be accelerated by each other to achieve a 100%yield of ANF/BNNS suspension with strong hydrogen/covalent bonding interactions between ***,the prepared ANF/BNNS suspension was used to construct 3D vertically aligned ANF/BNNS skeleton by the unidirectional freezing *** obtained epoxy-based composite(EP/ANF/BNNS)revealed excellent thermal conductivity of 2.41 W m^(-1)K^(-1) at 14.9 vol%BNNS loading due to the vertically oriented heat conduction paths and low interfacial thermal resistance in the ***,EP/ANF/BNNS composite showed high thermal stability and extraordinary fire retardancy with dramatically decreased heat release rate(265 W g^(-1)) and total heat release(20.6 kJ g^(-1)).Therefore,this work demonstrates a high-efficient one-step ball-milling exfoliation and deprotonation technique for preparing ANF/BNNS suspension,which reveals an enormous potential in preparing advanced TMMs by constructing 3D thermally conductive skeletons.

关键词： boron nitride nanosheet aramid nanofiber ball milling exfoliation thermal management composites

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ThyroidNet:A Deep Learning Network for Localization and Classification of Thyroid Nodules

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 361-382页

作者： Lu Chen Huaqiang Chen Zhikai Pan Sheng Xu Guangsheng Lai Shuwen Chen Shuihua Wang Xiaodong Gu Yudong Zhang Ultrasonic Department Zhongda Hospital Affiliated to Southeast UniversityNanjing210009China School of Physics and Information Engineering Jiangsu Second Normal UniversityNanjing211200China School of Computing and Mathematical Sciences University of LeicesterLeicesterLE17RHUK Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia state key laboratory of MillimeterWaves Southeast UniversityNanjing210096China Jiangsu Province Engineering Research Center of Basic Education Big Data Application Jiangsu Second Normal UniversityNanjing211200China School of Software Engineering Quanzhou Normal UniversityQuanzhou362000China Department of Biological Sciences Xi’an Jiaotong-Liverpool UniversitySuzhou215123China

Aim:This study aims to establish an artificial intelligence model,ThyroidNet,to diagnose thyroid nodules using deep learning techniques ***:A novel method,ThyroidNet,is introduced and evaluated based on deep learning for the localization and classification of thyroid ***,we propose the multitask TransUnet,which combines the TransUnet encoder and decoder with multitask ***,we propose the DualLoss function,tailored to the thyroid nodule localization and classification *** balances the learning of the localization and classification tasks to help improve the model’s generalization ***,we introduce strategies for augmenting the ***,we submit a novel deep learning model,ThyroidNet,to accurately detect thyroid ***:ThyroidNet was evaluated on private datasets and was comparable to other existing methods,including U-Net and *** results show that ThyroidNet outperformed these methods in localizing and classifying thyroid *** achieved improved accuracy of 3.9%and 1.5%,***:ThyroidNet significantly improves the clinical diagnosis of thyroid nodules and supports medical image analysis *** research directions include optimization of the model structure,expansion of the dataset size,reduction of computational complexity and memory requirements,and exploration of additional applications of ThyroidNet in medical image analysis.

关键词： ThyroidNet deep learning TransUnet multitask learning medical image analysis

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Transmission Energy Allocation for Over-the-Air Computation with Energy Harvesting

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Journal of Communications and Information Networks 2024年第2期9卷 126-136页

作者： Siyao Zhang Zixiang Ren Xinmin Li Yin Long Jie Xu Shuguang Cui School of Computer Science and technology Southwest University of Science and TechnologyMianyang 621010China Shenzhen Future Network of Intelligence Institute(FNii-Shenzhen) The Chinese University of Hong KongShenzhenGuangdong 518172China School of Information Science and technology University of Science and Technology of ChinaHefei 230027China FNii-Shenzhen The Chinese University of Hong KongShenzhenGuangdong 518172China College of Computer Science Chengdu UniversityChengdu 610100China School of Science and Engineering FNii-Shenzhenand Guangdong Provincial Key Laboratory of Future Networks of IntelligenceThe Chinese University of Hong KongShenzhenGuangdong 518172China

Over-the-air computation(AirComp)has recently emerged as a promising multiple-access technique for fast wireless data aggregation(WDA)from distributed wireless devices(WDs). This paper investigates an energy harvesting (EH) AirComp system, in which multiple EH-powered single-antenna WDs simultaneously send wireless signals to a single-antenna access point (AP) with conventional energy supply for WDA via AirComp. Under this setup, we minimize the average computation mean square error(MSE)over a particular time period, by jointly optimizing the transmit energy allocation at the WDs and the AirComp denoising factors at the AP over time, subject to the energy causality constraints at individual WDs. First, we consider the offline scenario by assuming that the energy state information(ESI)and channel state information (CSI) are non-causally known at the beginning of the period, in which the formulated average MSE minimization corresponds to a non-convex optimization problem. We present a high-quality converged solution by using the techniques of alternating optimization and convex optimization. It is shown that for each WD,if the EH rate is sufficiently high,then the channel inversion power allocation is adopted;while if the EH rate is low, then all the harvested energy should be used up for transmission with proper energy allocation over time. Next, we consider the online scenario with causal ESI and CSI,in which the MSE minimization becomes a stochastic optimization *** this scenario, we present an offline-inspired online algorithm to obtain efficient online energy allocation designs by utilizing the obtained offline solutions. Finally,numerical results show that the proposed designs significantly outperform two benchmark schemes with power-halving and full-power transmission,respectively.

关键词： over-the-air computation(AirComp) power allocation energy harvesting(EH) optimization

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Recent progress in the applications of presynaptic dopaminergic positron emission tomography imaging in parkinsonism

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Neural Regeneration Research 2025年第1期20卷 93-106页

作者： Yujie Yang Xinyi Li Jiaying Lu Jingjie Ge Mingjia Chen Ruixin Yao Mei Tian Jian Wang Fengtao Liu Chuantao Zuo key laboratory of Arrhythmias Ministry of EducationDepartment of Medical GeneticsShanghai East HospitalSchool of MedicineTongji UniversityShanghaiChina Department of Neurology National Research Center for Aging and MedicineNational Center for Neurological Disordersand State Key Laboratory of Medical NeurobiologyHuashan HospitalFudan UniversityShanghaiChina Department of Nuclear Medicine&PET Center National Center for Neurological Disordersand National Clinical Research Center for Aging and MedicineHuashan HospitalFudan UniversityShanghaiChina International Human Phenome Institutes(Shanghai) ShanghaiChina Human Phenome Institute Fudan UniversityShanghaiChina

Nowadays,presynaptic dopaminergic positron emission tomography,which assesses deficiencies in dopamine synthesis,storage,and transport,is widely utilized for early diagnosis and differential diagnosis of *** review provides a comprehensive summary of the latest developments in the application of presynaptic dopaminergic positron emission tomography imaging in disorders that manifest *** conducted a thorough literature search using reputable databases such as PubMed and Web of *** criteria involved identifying peer-reviewed articles published within the last 5 years,with emphasis on their relevance to clinical *** findings from these studies highlight that presynaptic dopaminergic positron emission tomography has demonstrated potential not only in diagnosing and differentiating various Parkinsonian conditions but also in assessing disease severity and predicting ***,when employed in conjunction with other imaging modalities and advanced analytical methods,presynaptic dopaminergic positron emission tomography has been validated as a reliable in vivo *** validation extends to screening and exploring potential neuropathological mechanisms associated with dopaminergic *** summary,the insights gained from interpreting these studies are crucial for enhancing the effectiveness of preclinical investigations and clinical trials,ultimately advancing toward the goals of neuroregeneration in parkinsonian disorders.

关键词： aromatic amino acid decarboxylase brain imaging dopamine transporter Parkinson’s disease parkinsonism positron emission tomography presynaptic dopaminergic function vesicle monoamine transporter type 2

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A machine learning model for diagnosing acute pulmonary embolism and comparison with Wells score,revised Geneva score,and Years algorithm

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Chinese Medical Journal 2024年第6期137卷 676-682页

作者： Linfeng Xi Han Kang Mei Deng Wenqing Xu Feiya Xu Qian Gao Wanmu Xie Rongguo Zhang Min Liu Zhenguo Zhai Chen Wang Capital Medical University Beijing 100069China National Center for Respiratory Medicine State Key Laboratory of Respiratory Health and MultimorbidityNational Clinical Research Center for Respiratory DiseasesInstitute of Respiratory MedicineChinese Academy of Medical SciencesDepartment of Pulmonary and Critical Care MedicineCenter of Respiratory MedicineChina-Japan Friendship HospitalBeijing 100029China Institute of Advanced Research Infervision Medical Technology Co.Ltd.Beijing 100025China Department of Radiology China-Japan Friendship HospitalBeijing 100029China Chinese Academy of Medical Sciences and Peking Union Medical College Beijing 100730China Department of Radiology Peking University China-Japan Friendship School of Clinical MedicineBeijing 100191China

Background:Acute pulmonary embolism(APE)is a fatal cardiovascular disease,yet missed diagnosis and misdiagnosis often occur due to non-specific symptoms and signs.A simple,objective technique will help clinicians make a quick and precise *** population studies,machine learning(ML)plays a critical role in characterizing cardiovascular risks,predicting outcomes,and identifying *** work sought to develop an ML model for helping APE diagnosis and compare it against current clinical probability assessment ***:This is a single-center retrospective *** with suspected APE were continuously enrolled and randomly divided into two groups including training and testing sets.A total of 8 ML models,including random forest(RF),Naïve Bayes,decision tree,K-nearest neighbors,logistic regression,multi-layer perceptron,support vector machine,and gradient boosting decision tree were developed based on the training set to diagnose ***,the model with the best diagnostic performance was selected and evaluated against the current clinical assessment strategies,including the Wells score,revised Geneva score,and Years ***,the ML model was internally validated to assess the diagnostic performance using receiver operating characteristic(ROC)***:The ML models were constructed using eight clinical features,including D-dimer,cardiac troponin T(cTNT),arterial oxygen saturation,heart rate,chest pain,lower limb pain,hemoptysis,and chronic heart *** eight ML models,the RF model achieved the best performance with the highest area under the curve(AUC)(AUC=0.774).Compared to the current clinical assessment strategies,the RF model outperformed the Wells score(P=0.030)and was not inferior to any other clinical probability assessment *** AUC of the RF model for diagnosing APE onset in internal validation set was ***:Based on RF algorithm,a novel prediction model was finally constructed for AP

关键词： Acute pulmonary embolism Machine learning Wells score Revised Geneva score Years algorithm

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Structural diversification of tin-oxo complexes through controlled self-assembly and ligand modulation

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Chinese Journal of Structural Chemistry 2023年第9期42卷 6-10页

作者： Jun-Jie Fang Zheng Liu Yun-Peng Xie Xing Lu state key laboratory of Materials Processing and die&Mould technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhan430074China

Metal oxo clusters represent an intriguing class of compounds thatbridge the gap between single atoms and nanoparticles[1].These clusters possess atomically precise characteristics and offer unique advantages for unraveling the intricate relationships between structures andproperties[2–4].Among metal oxo clusters,tin dioxide(SnO_(2))stands outas a prominent n-type wide-bandgap semiconductor with numerous applications in gas sensors[5],extreme ultraviolet lithography[6],solarcells[7],and catalysts[8].Consequently,the synthesis of nanoclustermaterials based on SnO2 has attracted significant attention from thescientific community,driven by the pursuit of tailored *** understanding of the self-assembly processes governingtin-oxo clusters at the molecular level is crucial for designing syntheticroutes towards nanocluster materials with desired properties.

关键词： properties. complexes cluster

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地理大数据挖掘——“水-能源-粮食”纽带研究的新机遇

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Journal of Geographical Sciences 2024年第2期34卷 203-228页

作者：杨洁曹小曙姚俊康喆文畅建霞王义民 Northwest Land and Resources Research Center Global Regional and Urban Research InstituteInstitute ofTransport Geography and Spatial PlanningShaanxi Normal UniversityXi’an 710119China Hanjiang-to-Weihe River Valley Water Diversion Project Construction Co.Ltd. Shaanxi ProvinceXi’an710010China state key laboratory of Eco-hydraulics in Northwest Arid Region Xi’an University of TechnologyXi’an710048China

Since the Bonn 2011 conference,the“water-energy-food”(WEF)nexus has aroused global concern to promote sustainable *** WEF nexus is a complex,dynamic,and open system containing interrelated and interdependent ***,the nexus studies have mainly focused on natural elements based on massive earth observation *** elements(e.g.,society,economy,politics,culture)are described insufficiently,because traditional earth observation technologies cannot effectively perceive socioeconomic characteristics,especially human feelings,emotions,and ***,it is difficult to simulate the complex WEF *** the development of earth observation sensor technologies and human activity perception methods,geographical big data covering both human activities and natural elements offers a new opportunity for in-depth WEF nexus *** study proposes a five-step framework by leveraging geographical big data mining to dig for the hidden value in the data of various natural and human *** framework can enable a thorough and comprehensive analysis of the WEF *** application examples of the framework,major challenges,and possible solutions are *** big data mining is a promising approach to enhance the analysis of the WEF nexus,strengthen the coordinated management of resources and sectors,and facilitate the progress toward sustainable development.

关键词： geographical big data data mining “water-energy-food”nexus interaction mechanisms sustainability resources security

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The safety aspect of sodium ion batteries for practical applications

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Journal of Energy Chemistry 2024年第8期95卷 407-427,I0009页

作者： Yingshuai Wang Runqing Ou Jingjing Yang Yuhang Xin Preetam Singh Feng Wu Yumin Qian Hongcai Gao School of Materials Science&Engineering Beijing Institute of TechnologyBeijing 100081China School of Physics Beijing Institute of TechnologyBeijing 100081China Yangtze Delta Region Academy of Beijing Institute of technology Jiaxing 314019ZhejiangChina Beijing Institute of technology Chongqing Innovation Center Chongqing 401120China Department of Ceramic Engineering Indian Institute of Technology(Banaras Hindu University)VaranasiUttar Pradesh 221005India

Sodium-ion batteries(SIBs)with advantages of abundant resource and low cost have emerged as promising candidates for the next-generation energy storage ***,safety issues existing in electrolytes,anodes,and cathodes bring about frequent accidents regarding battery fires and explosions and impede the development of high-performance ***,safety analysis and high-safety battery design have become prerequisites for the development of advanced energy storage *** reported reviews that only focus on a specific issue are difficult to provide overall guidance for building high-safety *** overcome the limitation,this review summarizes the recent research progress from the perspective of key components of SIBs for the first time and evaluates the characteristics of various improvement *** orderly analyzing the root causes of safety problems associated with different components in SIBs(including electrolytes,anodes,and cathodes),corresponding improvement strategies for each component were discussed *** addition,some noteworthy points and perspectives including the chain reaction between security issues and the selection of improvement strategies tailored to different needs have also been *** brief,this review is designed to deepen our understanding of the SIBs safety issues and provide guidance and assistance for designing high-safety SIBs.

关键词： Sodium ion batteries Safety Organic electrolytes modification Solid-state electrolyte Anode bulk modification Cathode bulk design

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A promising approach for quantifying focal stroke modeling and assessing stroke progression:optical resolution photoacoustic microscopy photothrombosis

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Neural Regeneration Research 2025年第7期20卷 2029-2037页

作者： Xiao Liang Xingping Quan Xiaorui Geng Yujing Huang Yonghua Zhao Lei Xi Zhen Yuan Ping Wang Bin Liu Faculty of Health Sciences University of MacaoMacao Special Administrative RegionChina Center for Cognitive and Brain Sciences University of MacaoMacao Special Administrative RegionChina Department of Biomedical Engineering Southern University of Science and TechnologyShenzhenGuangdong ProvinceChina state key laboratory of Quality Research in Chinese Medicine Institute of Chinese Medical SciencesUniversity of MacaoTaipaMacao Special Administrative RegionChina Department of Emergency Zhujiang HospitalSouthern Medical UniversityGuangzhouGuangdong ProvinceChina

To investigate the mechanisms underlying the onset and progression of ischemic stroke,some methods have been proposed that can simultaneously monitor and create embolisms in the animal cerebral ***,these methods often require complex systems and the effect of age on cerebral embolism has not been adequately studied,although ischemic stroke is strongly *** this study,we propose an optical-resolution photoacoustic microscopy-based visualized photothrombosis methodology to create and monitor ischemic stroke in mice simultaneously using a 532 nm pulsed *** observed the molding process in mice of different ages and presented age-dependent vascular embolism ***,we integrated optical coherence tomography angiography to investigate age-associated trends in cerebrovascular variability following a *** imaging data and quantitative analyses underscore the differential cerebrovascular responses to stroke in mice of different ages,thereby highlighting the technique's potential for evaluating cerebrovascular health and unraveling age-related mechanisms involved in ischemic strokes.

关键词： age-dependent cerebral cortex ischemic stroke mouse model optical coherence tomography angiography photoacoustic microscopy photothrombosis vascular imaging

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中国过去530年高分辨率格点化降水重建与极端干旱事件（英文）

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Science Bulletin 2024年第17期 2756-2764页

作者：张永香王红丽邵雪梅刘洪滨朱海峰王丽丽梁尔源郝志新方修琦张齐兵李金建时兴合袁玉江陈峰张同文张瑞波尚华明彭剑峰 National Climate Centre China Meteorological Administration Yunnan key laboratory of International Rivers and Transboundary Eco-Security Institute of International Rivers and Eco-Security Yunnan University key laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing New Epoch School the Administrative Bureau of Chinese Academy of Sciences University of Chinese Academy of Sciences key laboratory of Alpine Ecology Institute of Tibetan Plateau Research Chinese Academy of Sciences CAS Center for Excellence in Tibetan Plateau Earth Sciences Faculty of Geographical Science Beijing Normal University state key laboratory of Vegetation and Environmental Change Institute of Botany Chinese Academy of Sciences School of Atmospheric Sciences Plateau Atmosphere and Environment Key Laboratory of Sichuan Province Chengdu University of Information Technology Qinghai Climate Centre key laboratory of Tree-Ring Physical and Chemical Research of China Meteorological Administration Key Laboratory of Tree-Ring Ecology of Xinjiang Uygur Autonomous RegionInstitute of Desert Meteorology China Meteorological Administration College of Geography and Environmental Science Henan University

Extreme drought events have increased,causing serious losses and damage to the social economy under current warming ***,short-term meteorological data limit our understanding and projection of these *** the accumulation of proxy data,especially tree-ring data,large-scale precipitation field reconstruction has provided opportunities to explore underlying mechanisms *** point-by-point regression,we reconstructed the April–September precipitation field in China for the past～530 years on the basis of 590 proxy records,including 470 tree-ring width chronologies and 120 drought/flood *** regression models explained average 50%of the variance in *** the statistical test on calibration and verification,our models passed the significance level that assured reconstruction *** reconstruction data performed well,showing consistency and better quality than previously reported *** first three leading modes of variability in the reconstruction revealed the main distribution modes of precipitation over ***/drought and extremely wet/drought years accounted for 12.81%/10.92%(68 years/58 years) and 1.69%/3.20%(9 years/17 years) of the past～530 years in China,*** extreme drought events can be identified explicitly in our *** detailed features of the Chongzhen Great Drought (1637–1643),the Wanli Great Drought (1585–1590),and the Ding-Wu Great Famine (1874–1879),indicated the existence of potentially different underlying mechanisms that need further *** further improvements can be made for remote uninhabited areas and large deserts,our gridded reconstruction of April–September precipitation in China over the past～530 years can provide a solid database for studies on the attribution of climate change and the mechanism of extreme drought events.

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