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Photo‑Energized MoS_(2)/CNT Cathode for High‑Performance Li–CO_(2)Batteries in a Wide‑Temperature Range

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Nano-Micro Letters 2025年第1期17卷 160-175页

作者： Tingsong hu Wenyi lian Kang hu Qiuju Li Xueliang Cui Tengyu Yao Laifa Shen Jiangsu Key Laboratory of Materials and Technologies for Energy Storage College of Materials Science and TechnologyNanjing University of Aeronautics and AstronauticsNanjing 210016People’s Republic of China

Li–CO_(2) batteries are considered promising energy storage systems in extreme environments such as Mars;however,severe performance degradation will occur at a subzero temperature owning to the sluggish reaction ***,a photo-energized strategy adopting sustainable solar energy in wide working temperature range Li–CO_(2) battery was achieved with a binder-free MoS_(2)/carbon nanotube(CNT)photo-electrode as *** unique layered structure and excellent photoelectric properties of MoS_(2) facilitate the abundant generation and rapid transfer of photo-excited carriers,which accelerate the CO_(2) reduction and Li_(2)CO_(3) decomposition upon *** illuminated battery at room temperature exhibited high discharge voltage of 2.95 V and mitigated charge voltage of 3.27 V,attaining superior energy efficiency of 90.2%and excellent cycling stability of over 120 *** at an extremely low temperature of−30℃,the battery with same electrolyte can still deliver a small polarization of 0.45 V by the photoelectric and photothermal synergistic mechanism of MoS_(2)/CNT *** work demonstrates the promising potential of the photo-energized wide working temperature range Li–CO_(2) battery in addressing the obstacle of charge overpotential and energy efficiency.

关键词： Li-CO_(2)batteries Photo-energized Wide operation-temperature Kinetics MoS_(2)

厦门筼筜湖表层沉积物金属元素赋存形态及污染评价

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环境科学 2017年第3期38卷 1010-1017页

作者：杨秋丽于瑞莲胡恭任林承奇韩璐华侨大学化工学院厦门361021 中国科学院地球化学研究所环境地球化学国家重点实验室贵阳550081

用ICP-MS测定了厦门筼筜湖表层沉积物中15种金属元素的含量,分析了金属元素的分布特征,并用改进的BCR提取法分析其赋存形态.结果表明,Cd、Cu、Sr、Pb、Zn和U在不同湖区的含量表现为:外湖>干渠>内湖;Cr、Co、Ni、V、Fe、Li、Rb和Mn的含... 详细信息

用ICP-MS测定了厦门筼筜湖表层沉积物中15种金属元素的含量,分析了金属元素的分布特征,并用改进的BCR提取法分析其赋存形态.结果表明,Cd、Cu、Sr、Pb、Zn和U在不同湖区的含量表现为:外湖>干渠>内湖;Cr、Co、Ni、V、Fe、Li、Rb和Mn的含量表现为:内湖>外湖>干渠.Cu、Zn和Pb主要存在于可还原态;Cd元素主要存在于弱酸溶态和可还原态;Co、Ni、U、Fe和Mn元素主要存在于可还原态和残渣态;Li、V、Cr、Rb和Ba主要存在于残渣态.潜在生态风险评价结果表明,元素V、Cr、Co、Ni、Zn、Cu、Cd和Pb等处于轻微潜在生态风险水平.次生相与原生相分布比值法评价结果显示,Cu、Cd和Zn表现出重度污染;Pb表现出中度污染;Co、Mn、Sr和U表现出轻度污染;Ni、Fe、Cr、V、Li、Ba和Rb表现出无污染.筼筜湖表层沉积物已受轻微的金属元素污染,处于轻微生态风险水平.

关键词：沉积物金属元素赋存形态评价厦门筼筜湖

铝合金连续点焊时电极烧损与焊点表面质量的变化规律

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天津大学学报（自然科学与工程技术版） 2003年第6期36卷 753-756页

作者：程方杰单平廉金瑞胡绳荪天津大学材料科学与工程学院天津300072

以实验为基础,深入分析了铝合金连续点焊条件下电极烧损的基本规律和特点,揭示了连续点焊过程中表面接触情况和焊点表面成型质量的变化规律,并分析了影响电极烧损的主要因素.结果表明,电极的烧损从一开始就存在,接触不均匀所导致的局部... 详细信息

以实验为基础,深入分析了铝合金连续点焊条件下电极烧损的基本规律和特点,揭示了连续点焊过程中表面接触情况和焊点表面成型质量的变化规律,并分析了影响电极烧损的主要因素.结果表明,电极的烧损从一开始就存在,接触不均匀所导致的局部高温熔化是造成电极烧损的主要原因.

关键词：铝合金连续点焊电极烧损表面质量

Postnatal development of rat retina:a continuous observation and comparison between the organotypic retinal explant model and in vivo development

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Neural Regeneration Research 2025年第3期20卷 900-912页

作者： Baoqi hu rui Wang Hanyue Zhang Xiou Wang Sijia Zhou Bo Ma Yan Luan Xin Wang Xinlin Chen Zhichao Zhang Qianyan Kang Department of Ophthalmology The First Affiliated Hospital of Xi’an Jiaotong UniversityXi’anShaanxi ProvinceChina Department of Ophthalmology The First Affiliated Hospital of Northwest UniversityXi’anShaanxi ProvinceChina Institute of Neurobiology Xi’an Jiaotong University Health Science CenterXi’anShaanxi ProvinceChina

The organotypic retinal explant culture has been established for more than a decade and offers a range of unique advantages compared with in vivo experiments and cell ***,the lack of systematic and continuous comparison between in vivo retinal development and the organotypic retinal explant culture makes this model controversial in postnatal retinal development ***,we aimed to verify the feasibility of using this model for postnatal retinal development studies by comparing it with the in vivo *** this study,we showed that postnatal retinal explants undergo normal development,and exhibit a consistent structure and timeline with retinas in ***,we used SOX2 and PAX6 immunostaining to identify retinal progenitor *** then examined cell proliferation and migration by immunostaining with Ki-67 and doublecortin,***-67-and doublecortin-positive cells decreased in both in vivo and explants during postnatal retinogenesis,and exhibited a high degree of similarity in abundance and distribution between ***,we used Ceh-10 homeodomain-containing homolog,glutamate-ammonia ligase(glutamine synthetase),neuronal nuclei,and ionized calcium-binding adapter molecule 1 immunostaining to examine the emergence of bipolar cells,Müller glia,mature neurons,and microglia,*** timing and spatial patterns of the emergence of these cell types were remarkably consistent between in vivo and explant *** study showed that the organotypic retinal explant culture model had a high degree of consistency with the progression of in vivo early postnatal retina *** findings confirm the accuracy and credibility of this model and support its use for long-term,systematic,and continuous observation.

关键词： bipolar cells differentiation in vivo microglia Müller glia organotypic retinal explant culture postnatal retina development proliferation retinal progenitor cells

基于细节增强和多颜色空间学习的联合监督水下图像增强算法

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现代电子技术 2025年第1期48卷 23-28页

作者：胡锐程家亮胡伏原苏州科技大学信息化建设与管理中心江苏苏州215009 苏州科技大学电子与信息工程学院江苏苏州215009

由于水下特殊的成像环境,水下图像往往具有严重的色偏雾化等现象。因此文中根据水下光学成像模型设计了一种新的增强算法,即基于细节增强和多颜色空间学习的无监督水下图像增强算法(UUIE-DEMCSL)。该算法设计了一种基于多颜色空间的增... 详细信息

由于水下特殊的成像环境,水下图像往往具有严重的色偏雾化等现象。因此文中根据水下光学成像模型设计了一种新的增强算法,即基于细节增强和多颜色空间学习的无监督水下图像增强算法(UUIE-DEMCSL)。该算法设计了一种基于多颜色空间的增强网络,将输入转换为多个颜色空间(HSV、RGB、LAB)进行特征提取,并将提取到的特征融合,使得网络能学习到更多的图像特征信息,从而对输入图像进行更为精确的增强。最后,UUIE-DEMCSL根据水下光学成像模型和联合监督学习框架进行设计,使其更适合水下图像增强任务的应用场景。在不同数据集上大量的实验结果表明,文中提出的UUIE-DEMCSL算法能生成视觉质量良好的水下增强图像,且各项指标具有显著的优势。

关键词：水下图像增强多颜色空间学习无监督学习细节增强特征提取特征融合

A DISCONTINUOUS GALERKIN METHOD COMBINED WITH MIXED FINITE ELEMENT FOR SEAWATER INTRUSION PROBLEM

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Journal of Systems Science & Complexity 2010年第4期23卷 830-845页

作者： Ximeng lian Hongxing rui School of Mathematics Shandong University Jinan 250100 China School of Mathematics Shandong University Jinan 250100 China School of Mathematics and Computer Science Ningxia University Yinchuan 750021 China

Seawater intrusion problem is considered in this *** mathematical model is anonlinear coupled system of partial differential equations with initial boundary *** consistsof the water head equation and the salt concentration equation.A combined method is developedto approximate the water head equation by mixed finite element method and concentration equationby discontinuous Galerkin *** scheme is continuous in time and optimal order estimates inH^1-norm and L^2-norm are derived for the errors.

关键词： Discontinuous Galerkin method mixed finite element method seawater intrusion problem.

Deep learning-based software engineering: progress,challenges, and opportunities

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Science China(Information Sciences) 2025年第1期68卷 57-144页

作者： Xiangping CHEN Xing hu Yuan huANG He JIANG Weixing JI Yanjie JIANG Yanyan JIANG Bo LIU hui LIU Xiaochen LI Xiaoli lian Guozhu MENG Xin PENG Hailong SUN Lin SHI Bo WANG Chong WANG Jiayi WANG Tiantian WANG Jifeng XUAN Xin XIA Yibiao YANG Yixin YANG Li ZHANG Yuming ZHOU Lu ZHANG School of Journalism and Communication Sun Yat-sen University School of Software Technology Zhejiang University School of Software Engineering Sun Yat-sen University School of Software Dalian University of Technology School of Computer Science and Technology Beijing Institute of Technology Key Laboratory of High Confidence Software Technologies (Peking University) Ministry of EducationSchool of Computer Science Peking University State Key Laboratory for Novel Software Technology Nanjing University School of Computer Science and Engineering Beihang University Institute of Information Engineering Chinese Academy of Sciences School of Computer Science Fudan University State Key Laboratory of Complex & Critical Software Environment (CCSE) School of Software Beihang University School of Computer and Information Technology Beijing Jiaotong University School of Computer Science and Technology Harbin Institute of Technology School of Computer Science Wuhan University huawei Technologies

Researchers have recently achieved significant advances in deep learning techniques, which in turn has substantially advanced other research disciplines, such as natural language processing, image processing, speech recognition, and software engineering. Various deep learning techniques have been successfully employed to facilitate software engineering tasks, including code generation, software refactoring, and fault localization. Many studies have also been presented in top conferences and journals, demonstrating the applications of deep learning techniques in resolving various software engineering tasks. However,although several surveys have provided overall pictures of the application of deep learning techniques in software engineering,they focus more on learning techniques, that is, what kind of deep learning techniques are employed and how deep models are trained or fine-tuned for software engineering tasks. We still lack surveys explaining the advances of subareas in software engineering driven by deep learning techniques, as well as challenges and opportunities in each subarea. To this end, in this study, we present the first task-oriented survey on deep learning-based software engineering. It covers twelve major software engineering subareas significantly impacted by deep learning techniques. Such subareas spread out through the whole lifecycle of software development and maintenance, including requirements engineering, software development, testing, maintenance, and developer collaboration. As we believe that deep learning may provide an opportunity to revolutionize the whole discipline of software engineering, providing one survey covering as many subareas as possible in software engineering can help future research push forward the frontier of deep learning-based software engineering more systematically. For each of the selected subareas,we highlight the major advances achieved by applying deep learning techniques with pointers to the available datasets i

关键词： deep learning software engineering software benchmark software artifact representation survey

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煤工手臂振动病的X射线与磁共振成像研究

中国职业医学 2006年第1期33卷 19-21页

作者：赵选枝刘瑞莲胡述栋徐文秀赵士利葛令侠山东省枣庄矿业集团公司中心医院山东枣庄277011

目的研究手臂振动病的X射线及磁共振成像（MR／）表现，重点研究其早期诊断价值。方法所有142例病人全部进行X射线和MR／检查，按照工龄分为5组，分别统计X射线及MRI征象，对各种征象进行X射线和MR／比较分析；MR／与对照组比较分析；... 详细信息

目的研究手臂振动病的X射线及磁共振成像（MR／）表现，重点研究其早期诊断价值。方法所有142例病人全部进行X射线和MR／检查，按照工龄分为5组，分别统计X射线及MRI征象，对各种征象进行X射线和MR／比较分析；MR／与对照组比较分析；各工龄组问比较分析。结果X射线显示征象以骨质疏松、骨质硬化、腕骨坏死为主；MRI除显示上述征象外，还能够显示关节积液、骨髓水肿、软组织损伤等。以井下非振动作业工人为对照组进行比较，骨髓水肿和腕骨坏死两项在对照组中未显示；关节积液、骨质疏松、骨质硬化3项MRI显示数量明显高于对照组，两组比较差异有非常显著性（x^2=130．82，10．42和10．39，P〈0．01）；各工龄组问比较，MRI征象发生高峰在1-5年组；X射线征象发生高峰在21年以上组。结论MR／可以早期显示手臂振动病的骨关节改变，明显早于X射线；MR／所显示的征象多数与振动作业有密切相关性。

关键词：煤矿工人手臂振动病 X线摄影术 MRI

Leveled Homomorphic Encryption in Certificateless Cryptosystem

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Chinese Journal of Electronics 2017年第6期26卷 1213-1220页

作者： CHEN hu hu Yupu lian Zhizhu State Key Laboratory of Integrated Service Networks Xidian University Jiangsu Key Laboratory of Education Big Data Science and Engineering Jiangsu Normal University

To lower communication complexity, a Certificateless homomorphic encryption(CLHE) scheme based on the Learning with errors(LWE) problem is constructed by introducing a new technique called probabilistic encoding with weakly homomorphic property. This technique can conveniently convert an intended message into two elements in a ring, which will be respectively encrypted under both public keys of a user in certificateless *** knowing both elements simultaneously, the original message can be easily recovered. It is hidden perfectly by the probabilistic property of encoding. This CLHE removes evaluation keys by using the approximate eigenvector method given by Gentry et al., which makes it into a pure CLHE. It is proven to be semantic secure in the Random oracle model(ROM). The results indicate it is able to homomorphically evaluate any functions in a class functions with given multiplicative depth L.

关键词： Certificateless cryptosystem Lattice cryptography Fully homomorphic encryption Learning with errors Random oracle model