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Integrative Zoology 2022年第6期17卷 1002-1016页

作者： Yukun KANG yuchen tan Chan WANG Baohui YAO Kang AN Ming LIU Junhu SU College of Grassland Science Key Laboratory of Grassland Ecosystem(Ministry of Education)Gansu Agricultural UniversityLanzhouChina Gansu Agricultural University-Massey University Research Centre for Grassland Biodiversity Gansu Agricultural UniversityLanzhouChina International Society of Zoological Sciences BeijingChina

The plateau zokor(Eospalax baileyi)is a key species in the Qinghai-Tibetan Plateau ecosystem,and fertility control could be an ideal approach to manage populations of this subterranean *** this laboratory study,we explored the effects of the mixture of levonorgestrel and quinestrol(EP-1,1:2),quinestrol(E),and levonorgestrel(P)on the reproductive status of plateau *** of 5 animals of each sex were treated with different concentrations of EP-1(1,5,and 10 mg/kg),E(0.33,3.3,and 6.6 mg/kg),and P(0.67,3.35,and 6.7 mg/kg)by oral gavage over 7 successive days and killed on day *** mass reduction was observed in the EP-1 and E ***-1 and E signiﬁcantly reduced the weight of testis and epididymis at 10 and 3.3 mg/kg,*** count and motility were signiﬁcantly reduced by 5 mg/kg EP-1 and 0.33 mg/kg *** levels of serum testosterone,estradiol,luteinizing hormone,and follicle stimulating hormone were signiﬁcantly reduced by 5 mg/kg EP-1 and 3.3 mg/kg ***-1 and E signiﬁcantly increased the uterine and ovarian weights at 10 and 3.3 mg/kg,*** the plateau zokors,treatment with P had no inﬂuence on the reproductive *** data demonstrate that EP-1 and E have an inhibitory effect on a range of reproductive parameters in the plateau *** assessment is required to determine the effects on breeding and recruitment in enclosure orﬁeld experiments.

关键词： EP-1 fertility inhibition levonorgestrel quinestrol subterranean rodent

Stress-Regulation Design of Lithium Alloy Electrode toward Stable Battery Cycling

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Energy & Environmental Materials 2023年第1期6卷 184-191页

作者： Chunhao Li Shuibin Tu Xin Ai Siwei Gui Zihe Chen Wenyu Wang Xiaoxiao Liu yuchen tan Hui Yang Yongming Sun Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhan 430074China State Key Laboratory of Material Processing and Die&Mould Technology Department of MechanicsSchool of Aerospace EngineeringHuazhong University of Science and TechnologyWuhan 430074China

Metallic tin(Sn)foil is a promising candidate anode for lithium-ion batteries(LIBs)due to its metallurgical processability and high ***,it suffers low initial Coulombic efficiency and inferior cycling stability due to its uneven alloying/dealloying reactions,large volume change and stress,and fast electrode structural ***,we report an undulating LiSn electrode fabricated by a scalable two-step procedure involving mechanical lithography and chemical prelithiation of Sn *** the combination of experimental measurements and chemo-mechanical simulations,it was revealed the obtained undulating LiSn/Sn electrode could ensure better mechanical stability due to the pre-swelling state from Sn to Li x Sn and undulating structure of lithography in comparison with plane Sn,homogenize the electrochemical alloying/dealloying reactions due to the activated surface materials,and compensate Li loss during cycling due to the introduction of excess Li from Li_(x)Sn,thus enabling enhanced electrochemical *** cells consisting of undulating LiSn/Sn electrode with an active thickness of∼5 um displayed stable cycling over 1000 h at 1 mA cm^(-2) and 1 mAh cm^(-2) with a low average overpotential oftanding cycling stability with 84.9% capacity retention at 0.5 C after 100 *** work presents an advanced LiSn electrode with stress-regulation design toward high-performance LIBs,and sheds light on the rational electrode design and processing of other high-capacity lithium alloy anodes.

关键词： chemo-mechanical simulation lithium alloy lithium-ion batteries mechanical lithography stress regulation

Circumventing chemo-mechanical failure of Sn foil battery anode by grain refinement and elaborate porosity design

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Journal of Energy Chemistry 2021年第11期30卷 477-484,I0010页

作者： Shuibin Tu Xin Ai Xiancheng Wang Siwei Gui Zhao Cai Renming Zhan yuchen tan Weiwei Liu Hui Yang Chenhui Li Yongming Sun State Key Laboratory of Material Processing and Die&Mould Technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074HubeiChina b Wuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information Huazhong University of Science and TechnologyWuhan 430074HubeiChina Department of Mechanics School of Aerospace EngineeringHuazhong University of Science and TechnologyWuhan 430074HubeiChina

Tin (Sn) metal foil is a promising anode for next-generation high-energy–density lithium-ion batteries (LIBs) due to its high capacity and easy processibility. However, the pristine Sn foil anode suffers nonuniform alloying/dealloying reaction with lithium (Li) and huge volume variation, leading to electrode pulverization and inferior electrochemical performance. Herein, we proposed that reduced grain size and elaborate porosity design of Sn foil can circumvent the nonuniform alloy reaction and buffer the volume change during the lithiation/delithiation cycling. Experimentally, we designed a three-dimensional interconnected porous Sn (3DIP-Sn) foil by a facile chemical alloying/dealloying approach, which showed improved electrochemical performance. The enhanced structure stability of the as-fabricated 3DIP-Sn foil was verified by chemo-mechanical simulations and experimental investigation. As expected, the 3DIP-Sn foil anode revealed a long cycle lifespan of 4400 h at 0.5 mA cm^(−2) and 1 mAh cm^(−2) in Sn||Li half cells. A 3DIP-Sn||LiFePO_(4) full cell with LiFePO_(4) loading of 7.1 mg cm^(−2) exhibited stable cycling for 500 cycles with 80% capacity retention at 70 mA g^(−1). Pairing with high-loading commercial LiNi0.6Co0.2Mn0.2O_(2) (NCM622, 18.4 mg cm^(−2)) cathode, a 3DIP-Sn||NCM622 full cell delivered a high reversible capacity of 3.2 mAh cm^(−2). These results demonstrated the important role of regulating the uniform alloying/dealloying reaction and circumventing the localized strain/stress in improving the electrochemical performance of Sn foil anodes for advanced LIBs.

关键词： Sn foil anode 3D interconnected porous structure Grain refinement Uniform alloying/dealloying reaction Chemo-mechanical failure

Directional Routing Algorithm for Deep Space Optical Network

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China Communications 2017年第1期14卷 158-168页

作者： Lei Guo Xiaorui Wang Yejun Liu Pengchao Han Yamin Xie yuchen tan Key Laboratory of Medical Image Computing of Northeastern University Ministry of Education School of Computer Science and Engineering Northeastern University Shenyang 110819 China School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou 450002 China State Key Laboratory of Information Photonics and Optical Communications (BUPT) 100876 China

With the development of science, economy and society, the needs for research and exploration of deep space have entered a rapid and stable development stage. Deep Space Optical Network(DSON) is expected to become an important foundation and inevitable development trend of future deepspace communication. In this paper, we design a deep space node model which is capable of combining the space division multiplexing with frequency division multiplexing. Furthermore, we propose the directional flooding routing algorithm(DFRA) for DSON based on our node model. This scheme selectively forwards the data packets in the routing, so that the energy consumption can be reduced effectively because only a portion of nodes will participate the flooding routing. Simulation results show that, compared with traditional flooding routing algorithm(TFRA), the DFRA can avoid the non-directional and blind transmission. Therefore, the energy consumption in message routing will be reduced and the lifespan of DSON can also be prolonged effectively. Although the complexity of routing implementation is slightly increased compared with TFRA, the energy of nodes can be saved and the transmission rate is obviously improved in DFRA. Thus the overall performance of DSON can be significantly improved.

关键词： deep space optical network routing algorithm directional flooding routing algorithm traditional flooding routing algorithm

Examining object recognition and object-in-place memory in Eospalax baileyi

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Examining object recognition and object-in-place memory in E...

Performance Comparison of Data Classification based on Modern Convolutional Neural Network Architectures

第十三届全国野生动物生态与资源保护学术研讨会暨第六届中国西部动物学学术研讨会

作者： Ibrahim M.Hegab yuchen tan Haifang Wang Junhu Su College of Grassland Science Key Laboratory of Grassland Ecosystem (Ministry of Education) Gansu Agricultural University Gansu Agricultural University-Massey University Research Centre for Grassland Biodiversity Gansu Agricultural University Department of Hygiene Zoonoses and Animal Behavior and Management Faculty of Veterinary Medicine Suez Canal University

Recognition memories is an important skill for the survival and fitness of the subterranean rodents due to the complicated underground circumstances in order to avoid the burden of higher energy costs or a possible conflict with *** study aims to examine the Object and object/place recognition memories in plateau zokors

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Performance Comparison of Data Classification based on Moder...

Local-contrastive-learning machine with both generalization and adversarial robustness: A statistical physics analysis

第三十九届中国控制会议

作者： yuchen tan Yanxiang Li Han Liu Wang Lu Xiaowu Xiao Institute for Cultural Heritage and History of Science and Technology University of Science and Technology Beijing The Shenyang Palace Museum Henan Museum School of Automation Beijing Institute of Technology

In recent years, convolutional neural network（CNN） has become the most powerful tool to deal with some computer vision applications, for example, classification, object detection, semantic segmentation, and so on. This benefits from the development of computer hardware and theory of deep learning. Many state-of-the-art CNN architectures have been proposed and they produce better performance than previous conventional methods. However, the effects of these modern CNN architectures are usually demonstrated based on some public datasets. The performance of these architectures on unpublished datasets is still not clear. To solve this problem, we compare classification performance of six different CNN architectures based on our own Lead isotope dataset. Six architectures are ZFNet, VGG16, ResNet18, ResNet101, GoogLeNet, DenseNet, *** experiments, we find that all CNN architectures can produce satisfactory classification results, and the performance of some architectures in our dataset is different from that in some public datasets.

关键词： Data Classification Convolutional Neural Networks Deep Learning Lead Isotope

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 109-123页

作者： Mingshan Xie yuchen Wang Haiping Huang PMI Lab School of Physics Sun Yat-sen University Guangdong Provincial Key Laboratory of Magnetoelectric Physics and Devices Sun Yat-sen University

Distinct from human cognitive processing, deep neural networks trained by backpropagation can be easily fooled by adversarial examples. To design a semantically meaningful representation learning, we discard backpropagation, and instead, propose a local contrastive learning, where the representations for the inputs bearing the same label shrink(akin to boson) in hidden layers,while those of different labels repel(akin to fermion). This layer-wise learning is local in nature, being biologically plausible.A statistical mechanics analysis shows that the target fermion-pair-distance is a key parameter. Moreover, the application of this local contrastive learning to MNIST benchmark dataset demonstrates that the adversarial vulnerability of standard perceptron can be greatly mitigated by tuning the target distance, i.e., controlling the geometric separation of prototype manifolds.

关键词： machine learning statistical mechanics adversarial robustness neural networks

Efficient and simple synthesis of B_(2)O_(3)-Al_(2)O_(3)nanocomposites assisted by deep eutectic solvent for production of 5-hydroxymethylfurfural from glucose

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Nano Research 2025年第1期18卷 236-248页

作者： yuchen Wang Kai Rong Shanlei Chang Youxing Fang Shaojun Dong State Key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun 130022China School of Applied Chemistry and Engineering University of Science and Technology of ChinaHefei 230026China College of Chemistry Jilin UniversityChangchun 130012China

The catalytic conversion of glucose to high valueadded platform chemical 5-hydroxymethylfurfural(HMF)is a promising biorefinery process,and alumina-boria catalysts are considered to be green and mild solid acid catalysts for this catalytic ***,compared to the common synthesis methods with complicated steps,we reported a simple and efficient strategy to prepare B_(2)O_(3)-Al_(2)O_(3)nanocomposites by calcining cost-effective glucose-urea deep eutectic solvent(DES)solution containing the *** prepared B_(2)O_(3)-Al_(2)O_(3)nanocomposites exhibited an open three-dimensional skeleton and two-dimensional porous lamellar substructure,endowing them with a high specific surface area(228.27 m2/g).The introduction of boron changed the ratios of different aluminum species(AlⅣ,AlⅤ,and AlⅥ)and borate species(BO3 and BO4),thus further affecting the acidity and the types of acid sites of the *** prepared B_(2)O_(3)-Al_(2)O_(3)bifunctional acid catalysts possessing abundant Lewis acid sites and adjustable Brønsted acid sites showed complete glucose conversion and 55.38%of HMF yield under the optimum *** study proposed a concise method to synthesize alumina-boria solid acid catalysts assisted by glucose-urea *** hope to extend the application and prospect of this efficient and simple synthesis strategy.

关键词： 5-hydroxymethylfurfural(HMF) deep eutectic solvent glucose alumina-boria acid catalyst

Lipid droplets in the nervous system:involvement in cell metabolic homeostasis

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Neural Regeneration Research 2025年第3期20卷 740-750页

作者： yuchen Zhang Yiqing Chen Cheng Zhuang Jingxuan Qi Robert Chunhua Zhao Jiao Wang School of Life Sciences Shanghai UniversityShanghaiChina School of Medicine Shanghai UniversityShanghaiChina Institute of Basic Medical Sciences Chinese Academy of Medical Sciences School of Basic MedicinePeking Union Medical CollegeBeijingChina Center of Excellence in Tissue Engineering Chinese Academy of Medical SciencesBeijingChina Beijing Key Laboratory of New Drug Development and Clinical Trial of Stem Cell Therapy BeijingChina

Lipid droplets serve as primary storage organelles for neutral lipids in neurons,glial cells,and other cells in the nervous *** droplet formation begins with the synthesis of neutral lipids in the endoplasmic ***,lipid droplets were recognized for their role in maintaining lipid metabolism and energy homeostasis;however,recent research has shown that lipid droplets are highly adaptive organelles with diverse functions in the nervous *** addition to their role in regulating cell metabolism,lipid droplets play a protective role in various cellular stress ***,lipid droplets exhibit specific functions in neurons and glial *** of lipid droplet formation leads to cellular dysfunction,metabolic abnormalities,and nervous system *** review aims to provide an overview of the role of lipid droplets in the nervous system,covering topics such as biogenesis,cellular specificity,and ***,it will explore the association between lipid droplets and neurodegenerative *** the involvement of lipid droplets in cell metabolic homeostasis related to the nervous system is crucial to determine the underlying causes and in exploring potential therapeutic approaches for these diseases.

关键词： Alzheimer's disease lipid droplet biogenesis lipid droplets lipid metabolism nervous system neurodegenerative disorders oxidative stress Parkinson's disease

新疆温泉县阿敦乔鲁遗址出土早期铜器的初步科学分析

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西域研究 2021年第3期 54-61,M0004页

作者：谭宇辰李延祥丛德新贾伟明北京科技大学科技史与文化遗产研究院中国社会科学院考古研究所河南大学历史学院澳大利亚悉尼大学考古系

新疆温泉县阿敦乔鲁遗址是西天山地区发现年代较早的一处青铜时代遗存,出土青铜器数量也为该地区同时期发现中最多的,对于研究公元前2千纪上半叶西天山地区早期铜器的传播和冶金技术的区域特征具有重要意义。本研究对阿敦乔鲁遗址出土... 详细信息

新疆温泉县阿敦乔鲁遗址是西天山地区发现年代较早的一处青铜时代遗存,出土青铜器数量也为该地区同时期发现中最多的,对于研究公元前2千纪上半叶西天山地区早期铜器的传播和冶金技术的区域特征具有重要意义。本研究对阿敦乔鲁遗址出土的铜器进行了49件无损检测,并对其中6件做有损检测,显示其材质均为锡青铜,成型方式有铸造、锻造,无论器型或材质都与中天山的萨恩萨伊墓地M56出土铜器相同,皆符合已知安德罗诺沃文化铜器的特征,应是安德罗诺沃文化直接影响的重要证据。

关键词：冶金考古锡青铜阿敦乔鲁遗址萨恩萨伊墓地安德罗诺沃文化