检索结果-内蒙古大学图书馆

Subgrouping of Burkitt lymphoma variants by DNA methylation is driven by an EBV-associated epigenotype

Hematological Oncology 2023年第S2期41卷

作者： S. Glaser C. Del Val R. Wagener H. Kretzmer W. Klapper M. Hummel O. Ammerpohl P. Lichter B. Burkhardt L. Trümper S. Mbulaiteye Institute of Human Genetics Ulm University and Ulm University Medical Center Ulm Germany Department of Computer Science and Artifical Intelligence Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) Universtiy of Granada Granada Spain Transciptome Bioinformatics Group LIFE Research Center for Civilization Diseases University of Leipzig Leipzig Germany Department of Pathology University of Kiel/University Hospital Schleswig-Holstein Kiel Germany Institute of Pathology Charité – University Medicine Berlin Berlin Germany Division of Molecular Genetics German Cancer Research Center Heidelberg Germany Department of Pediatric Hematology and Oncology University Hospital Münster Münster Germany Hematology and Oncology University of Göttingen Göttingen Germany Division of Cancer Epidemiology and Genetics National Cancer Institute National Institutes of Health Bethesda MC USA

来源：评论

学校读者我要写书评

暂无评论

ASSOCIATION OF CEREBRAL SMALL VESSEL DISEASE BURDEN WITH BRAIN STRUCTURE AND COGNITIVE AND VASCULAR RISK TRAJECTORIES IN MID-TO-LATE LIFE

引用

Cerebral Circulation - Cognition and Behavior 2024年 6卷 100080-100080页

作者： Michelle G. Jansen Ludovica Griffanti Clare E. Mackay Melis Anatürk Luca Melazzini Ann-Marie G. de Lange Nicola Filippini Enikő Zsoldos Kim Wiegertjes Frank-Erik de Leeuw Archana Singh-Manoux Mika Kivimäki Klaus P. Ebmeier Sana Suri Donders Centre for Cognition Donders Institute for Brain Cognition and Behaviour Radboud University Nijmegen the Netherlands Department of Neurology Donders Institute for Brain Cognition and Behavior Radboud University Medical Center Nijmegen the Netherlands Department of Psychiatry University of Oxford United Kingdom Wellcome Centre for Integrative Neuroimaging (Oxford Centres for Functional MRI of the Brain & Human Brain Activity) Nuffield Department of Clinical Neurosciences & Psychiatry University of Oxford United Kingdom Centre for Medical Image Computing Department of Computer Science University College London United Kingdom Department of Biomedical Sciences for Health Università degli Studi di Milano Milan Italy Department of Psychology University of Oslo Norway Department of Epidemiology and Public Health University College London United Kingdom Université de Paris INSERM U1153 Epidemiology of Ageing and Neurogenerative diseases Paris France

来源：评论

学校读者我要写书评

暂无评论

Genetic, individual, and familial risk correlates of brain network controllability in major depressive disorder

arXiv

引用

arXiv 2021年

作者： T., Hahn N.R., Winter J., Ernsting M., Gruber M.J., Mauritz L., Fisch R., Leenings K., Sarink J., Blanke V., Holstein D., Emden M., Beisemann N., Opel D., Grotegerd S., Meinert W., Heindel S., Witt M., Rietschel M.M., Nöthen A.J., Forstner T., Kircher I., Nenadic A., Jansen B., Müller-Myhsok T.F.M., Andlauer M., Walter M.P., van den Heuvel H., Jamalabadi U., Dannlowski J., Repple Institute for Translational Psychiatry University of Münster Germany Faculty of Mathematics and Computer Science University of Münster Germany Department of Statistics TU Dortmund University Dortmund Germany Interdisciplinary Centre for Clinical Research IZKF University of Münster Germany Institute of Clinical Radiology University of Münster Germany Department of Genetic Epidemiology Central Institute of Mental Health Faculty of Medicine Mannheim University of Heidelberg Mannheim Germany Institute of Human Genetics University of Bonn School of Medicine University Hospital Bonn Bonn Germany Centre for Human Genetics University of Marburg Marburg Germany Research Center Jülich Jülich Germany Department of Psychiatry and Psychotherapy Phillips University Marburg Germany Max-Planck-Institute of Psychiatry Munich Germany Department of Neurology Klinikum rechts der Isar Technical University of Munich Germany Department of Psychiatry and Psychotherapy Jena University Hospital Jena Germany Department of Complex Trait Genetics Center for Neurogenomics and Cognitive Research Vrije Universiteit Amsterdam Amsterdam Neuroscience Amsterdam Netherlands Department of Child Psychiatry Amsterdam University Medical Center Amsterdam Neuroscience Amsterdam Netherlands Department of Psychiatry and Psychotherapy University of Tübingen Tübingen Germany

Background: A therapeutic intervention in psychiatry can be viewed as an attempt to influence the brain’s large-scale, dynamic network state transitions underlying cognition and behavior. Building on connectome-based graph analysis and control theory, Network Control Theory is emerging as a powerful tool to quantify network controllability – i.e., the influence of one brain region over others regarding dynamic network state transitions. If and how network controllability is related to mental health remains elusive. Methods: From Diffusion Tensor Imaging data, we inferred structural connectivity and inferred calculated network controllability parameters to investigate their association with genetic and familial risk in patients diagnosed with major depressive disorder (MDD, n=692) and healthy controls (n=820). Results: First, we establish that controllability measures differ between healthy controls and MDD patients while not varying with current symptom severity or remission status. Second, we show that controllability in MDD patients is associated with polygenic scores for MDD and psychiatric cross-disorder risk. Finally, we provide evidence that controllability varies with familial risk of MDD and bipolar disorder as well as with body mass index. Conclusions: We show that network controllability is related to genetic, individual, and familial risk in MDD patients. We discuss how these insights into individual variation of network controllability may inform mechanistic models of treatment response prediction and personalized intervention-design in mental health. © 2021, CC BY-NC-ND.

关键词： Controllability

来源：评论

学校读者我要写书评

暂无评论

Initial ASEAN digital security and interoperability standard proposal

引用

AIP Conference Proceedings 2023年第1期2739卷

作者： Sangsuree Vasupongayya Gunawan Hutagalung Obrina Candra Chalee Vorakulpipat Doni Purnomo Parinda Wattanasri Eko Supriyanto Shukor Abd Razak Othman Ibrahim Anazida Zainal Sri Devi Ravana Hiep Cong Pham Tharith Sriv Daw Khin Myo Su Mora Hertanto Agus Winarno Prabaswari Raden Muhammad Taufik Yuniantoro Badrus Zaman Fatmawati Retna Apsari Yutika Amelia Effendi Norjihan Abdul Ghani Zarina Shukur Hamidah Ibrahim Nur Izura Udzir Marnel Peradilla Jude Michael Teves Nestor Michael Tiglao Cenon Alfonso Pg Emeroylariffion Abas Mueen Uddin Agustin Kusumayati Brian Sri Prahastuti Department of Computer Engineering Faculty of Engineering Prince of Songkla University Hatyai Songkhla 90110 THAILAND Directorate General of Post and Information Technology Ministry of Communication and Information Technology Jakarta INDONESIA Politeknik Siber dan Sandi Negara National Cyber & Crypto Agency (BSSN) Depok West Java INDONESIA Information Security Research Team at National Electronics and Computer Technology Center Bangkok THAILAND National Standardization Agency of Indonesia Jakarta INDONESIA Department of Disease Control Ministry of Public Health Mueang Nonthaburi Nonthaburi THAILAND School of Biomedical Engineering and Health Sciences Faculty of Engineering Universiti Teknologi Malaysia Johor Bahru Johor MALAYSIA IJN-UTM Cardiovascular Engineering Center Institute of Human Centered Engineering Universiti Teknologi Malaysia Johor Bahru Johor MALAYSIA School of Computing Faculty of Engineering Universiti Teknologi Malaysia Johor Bahru Johor MALAYSIA Faculty of Computer Science & Information Technology Universiti Malaya Kuala Lumpur MALAYSIA RMIT University Vietnam Ho Chi Minh City VIETNAM Royal University of Phnom Penh Phnom Penh CAMBODIA Yangon University of Economics Yangon MYANMAR Agency for the Assessment and Application of Technology (BPPT) Jakarta INDONESIA Faculty of Science and Technology Universitas Airlangga Surabaya East Java INDONESIA Faculty of Advanced Technology and Multidiscipline Universitas Airlangga Surabaya East Java INDONESIA Centre for Cyber Security Universiti Kebangsaan Malaysia Bangi Selangor MALAYSIA Faculty of Computer Science and Information Technology Universiti Putra Malaysia Serdang Selangor MALAYSIA Computer Technology Department College of Computer Studies De La Salle University Manila PHILIPPINES Software Technology Department College of Computer Studies De La Salle University Manila PHILIPPINES Electrical and Electronics Engineering Institute University of the Philippines Diliman Quezon City P

In this work, the result of the initial attempt to propose an Association of Southeast Asian Nations (ASEAN) digital security and interoperability standard to support the mobility among ASEAN countries is presented. Literature reviews on existing coronavirus disease 2019 (COVID-19) related digital technologies of six ASEAN member countries are conducted. Several concerns related to creating/implementing the ASEAN digital security and interoperability standard are discussed including the technology accessing concern, the data security and privacy concern, and the data interoperability and availability concern. The proposed solution toward creating an ASEAN digital security and interoperability standard is then presented. To evaluate the proposed solution, a survey has been conducted on representatives of nine ASEAN countries on four main issues including the security standards and requirements, the interoperability standard and requirements, the certifications, and the implementation challenges. According to the survey and the discussion, seven recommendations were proposed toward creating an ASEAN digital security and interoperability standard. First, each country collects and maintains the data of its own citizens and also provides a method to authenticate and access the data by authorized requests. Second, QR code standard or ASEAN QR code standard must be agreed upon so that it can be authenticated and verified by ASEAN countries. Third, health risk assessment must be agreed upon to be used. Forth, the security standard, the data, the data format and the exchange protocol must be agreed upon at the ASEAN policy level while adoption of international standards as an implementation guideline will ease of the process and neutralize different requirements from various countries. Fifth, any accountability of incidents must be agreed upon at the ASEAN policy level. Sixth, certification might be extended to certification of risk assessment for organizations, products or

关键词：

来源：评论

学校读者我要写书评

暂无评论

The 2021 report of the Lancet Countdown on health and climate change: code red for a healthy future

引用

The Lancet 2021年第10311期398卷 1619-1662页

作者： Romanello, Marina McGushin, Alice Di Napoli, Claudia Drummond, Paul Hughes, Nick Jamart, Louis Kennard, Harry Lampard, Pete Solano Rodriguez, Baltazar Arnell, Nigel Ayeb-Karlsson, Sonja Belesova, Kristine Cai, Wenjia Campbell-Lendrum, Diarmid Capstick, Stuart Chambers, Jonathan Chu, Lingzhi Ciampi, Luisa Dalin, Carole Dasandi, Niheer Dasgupta, Shouro Davies, Michael Dominguez-Salas, Paula Dubrow, Robert Ebi, Kristie L Eckelman, Matthew Ekins, Paul Escobar, Luis E Georgeson, Lucien Grace, Delia Graham, Hilary Gunther, Samuel H Hartinger, Stella He, Kehan Heaviside, Clare Hess, Jeremy Hsu, Shih-Che Jankin, Slava Jimenez, Marcia P Kelman, Ilan Kiesewetter, Gregor Kinney, Patrick L Kjellstrom, Tord Kniveton, Dominic Lee, Jason K W Lemke, Bruno Liu, Yang Liu, Zhao Lott, Melissa Lowe, Rachel Martinez-Urtaza, Jaime Maslin, Mark McAllister, Lucy McMichael, Celia Mi, Zhifu Milner, James Minor, Kelton Mohajeri, Nahid Moradi-Lakeh, Maziar Morrissey, Karyn Munzert, Simon Murray, Kris A Neville, Tara Nilsson, Maria Obradovich, Nick Sewe, Maquins Odhiambo Oreszczyn, Tadj Otto, Matthias Owfi, Fereidoon Pearman, Olivia Pencheon, David Rabbaniha, Mahnaz Robinson, Elizabeth Rocklöv, Joacim Salas, Renee N Semenza, Jan C Sherman, Jodi Shi, Liuhua Springmann, Marco Tabatabaei, Meisam Taylor, Jonathon Trinanes, Joaquin Shumake-Guillemot, Joy Vu, Bryan Wagner, Fabian Wilkinson, Paul Winning, Matthew Yglesias, Marisol Zhang, Shihui Gong, Peng Montgomery, Hugh Costello, Anthony Hamilton, Ian Institute for Global Health University College London London UK United Kingdom Institute for Sustainable Resources University College London London UK United Kingdom UCL Energy Institute University College London London UK United Kingdom Institute for Environmental Design and Engineering University College London London UK United Kingdom Department of Geography University College London London UK United Kingdom The Bartlett School of Sustainable Construction University College London London UK United Kingdom Centre for Human Health and Performance University College London London UK United Kingdom School of Agriculture Policy and Development University of Reading Reading United Kingdom Department of Meteorology University of Reading Reading United Kingdom The Walker Institute University of Reading Reading United Kingdom Department of Health Sciences University of York York United Kingdom Institute for Environment and Human Security United Nations University Bonn Germany Centre on Climate Change and Planetary Health London School of Hygiene & Tropical Medicine London UK United Kingdom Centre for Mathematical Modelling of Infectious Diseases London School of Hygiene & Tropical Medicine London UK United Kingdom Department of Public Health Environments and Society London School of Hygiene & Tropical Medicine London UK United Kingdom Department of Earth System Science Tsinghua University Beijing China Department of Environment Climate Change and Health World Health Organization Geneva Switzerland Institute for Environmental Sciences World Health Organization Geneva Switzerland Centre for Climate Change and Social Transformations School of Psychology Cardiff University Cardiff United Kingdom Yale Center on Climate Change and Health Yale University New Haven CT United States School of Government University of Birmingham Birmingham United Kingdom Economic analysis of Climate Impacts and Policy Centro Euro-Mediterraneo sui Cambiamenti Climatic

来源：评论

学校读者我要写书评

暂无评论

Deep Brain Neural Network Model Application Using Rabi Antenna Probes as Quantum Consciousness Sensors

SSRN

引用

SSRN 2022年

作者： Bunruangses, Montree Youplao, Phichai Garhwal, Anita Ray, Kanad Roy, Arup Pham, Nhat Truong Prabpal, Prakasit Yupapin, Preecha Jalil, Muhammad Arif Ali, Jalil Kaiser, Shamim Mahmud, Mufti Mallik, Saurav Zhao, Zhongming Department of Computer Engineering Faculty of Industrial Education Rajamangala University of Technology Phra Nakhon Bangkok10300 Thailand Faculty of Industrial Technology Rajamangala University of Technology Isan Sakon Nakhorn Campus Sakon Nakhon547000 Thailand Asia Metropolitan University 6 Jalan Lembah Bandar Baru Seri Alam 81750 Johor Masai Malaysia Amity University Jaipur Rajasthan India Facultad de CienciasFisico-Matematicas Benemérita Universidad Autónoma de Puebla San Manuel Ciudad Universitaria Av. San Claudio y Av. 18 sur Col. Puebla Pue 72570 Mexico Faubert Lab Université de Montréal MontréalH3T 1P1 Canada Division of Computational Mechatronics Institute for Computational Science Ton Duc Thang University Ho Chi Minh City72915 Viet Nam Faculty of Electrical and Electronics Engineering Ton Duc Thang University Ho Chi Minh City72915 Viet Nam Department of Electrical Technology School of Industrial Technology Institute of Vocational Education Northeastern 2 Sakhon Nakhon47000 Thailand Department of Physics Faculty of Science Unversiti Teknologi Malaysia Johor Skudai81310 Malaysia Institute of Information Technology Jahangirnagar University Dhaka Savar1342 Bangladesh Nottingham Trent University Clifton Lane NottinghamNG11 8NS United Kingdom Center for Precision Health School of Biomedical Informatics The University of Texas Health Science Center at Houston HoustonTX77030 United States Human Genetics Center School of Public Health The University of Texas Health Science Center at Houston HoustonTX77030 United States

The plasmonic antenna probe is designed using a silver bar embedded in a modified add-drop filter within a Mach Zehnder interferometer (MZI). The Rabi antenna is formed when the space-time control has reached the two-level system oscillation, which can be applied as a quantum brain-sensingprobe. A photonic neural network is designed using brain-Rabi antenna communication, wherein the transmission is connected by the neurons. The communication signals are transferred by the electron spins (up-down) and tunable Rabi frequency. The hidden variables and deep brain signals can be obtained by the external detection. We have developed a Rabi antenna via simulation using computer Simulation Technology (CST) software. We have developed a communication device using the Optiwave program (OptiFDTD). The output signal is plotted by the Matlab program using parameters from the results of the OptiFDTD simulation. The proposed antenna resonates in the frequency range of 192THz-202THz with a maximum gain of 22.4dBi. The sensor sensitivity is calculated along withelectron spin results and applied to form the quantum-brain interconnection. Moreover, an intelligent machine learning algorithm is proposed for the identification of high-quality transmission and predicting the behavior of the transmission in near future. The sensor sensitivity is calculated along withelectron spin results and applied to form the quantum-brain interconnection. Finally, human quantum consciousness, dreams and human thoughts can be retrieved and discovered. © 2022, The Authors. All rights reserved.

关键词： Antennas

来源：评论

学校读者我要写书评

暂无评论

Multi-site infant brain segmentation algorithms: The iSeg-2019 challenge

arXiv

引用

arXiv 2020年

作者： Sun, Yue Gao, Kun Wu, Zhengwang Lei, Zhihao Wei, Ying Ma, Jun Yang, Xiaoping Feng, Xue Zhao, Li Le Phan, Trung Shin, Jitae Zhong, Tao Zhang, Yu Yu, Lequan Li, Caizi Basnet, Ramesh Ahmad, M. Omair Swamy, M.N.S. Ma, Wenao Dou, Qi Bui, Toan Duc Noguera, Camilo Bermudez Landman, Bennett Gotlib, Ian H. Humphreys, Kathryn L. Shultz, Sarah Li, Longchuan Niu, Sijie Lin, Weili Jewells, Valerie Li, Gang Shen, Dinggang Wang, Li The Department of Radiology Biomedical Research Imaging Center University of North Carolina Chapel HillNC27599 United States Northeastern University Shenyang China The Department of Mathematics Nanjing University of Science and Technology Nanjing China The Department of Mathematics Nanjing University China The Department of Biomedical Engineering University of Virginia CharlottesvilleVA United States The Diagnostic Imaging and Radiology Department Children’s National Medical Center WashingtonDC United States The Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of The School of Biomedical Engineering Southern Medical University Guangzhou510515 China The Chinese University of Hong Kong China Shenzhen Institutes of Advanced Technology China The Department of Electrical and Computer Engineering Concordia University Montreal Canada The School of Informatics Xiamen University China The Department of Computer Science and Engineering The Chinese University of Hong Kong China Electrical Engineering and Computer Science Vanderbilt University NashvilleTN37204 United States The Department of Psychology Stanford University CA94305 United States The Department of Psychology and Human Development Vanderbilt University NashvilleTN37204 United States The Emory University AtlantaGA30322 United States The School of Information Science and Engineering University of Jinan Jinan250022 China The Department of Research and Development Shanghai United Imaging Intelligence Co. Ltd. Shanghai China Department of Brain and Cognitive Engineering Korea University Seoul02841 Korea Republic of

To better understand early brain growth patterns in health and disorder, it is critical to accurately segment infant brain magnetic resonance (MR) images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF). Deep learning-based methods have achieved state-of-the-art performance;however, one of major limitations is that the learning-based methods may suffer from the multi-site issue, that is, the models trained on a dataset from one site may not be applicable to the datasets acquired from other sites with different imaging protocols/scanners. To promote methodological development in the community, iSeg-2019 challenge (http://***) provides a set of 6-month infant subjects from multiple sites with different protocols/scanners for the participating methods. Training/validation subjects are from UNC (MAP) and testing subjects are from UNC/UMN (BCP), Stanford University, and Emory University. By the time of writing, there are 30 automatic segmentation methods participating in iSeg-2019. We review the 8 top-ranked teams by detailing their pipelines/implementations, presenting experimental results and evaluating performance in terms of the whole brain, regions of interest, and gyral landmark curves. We also discuss their limitations and possible future directions for the multi-site issue. We hope that the multi-site dataset in iSeg-2019 and this review article will attract more researchers on the multi-site issue. Copyright © 2020, The Authors. All rights reserved.

关键词： Magnetic resonance

来源：评论

学校读者我要写书评

暂无评论

The influence of different walking strategies on patellofemoral and tibiofemoral contact forces in individuals with patellofemoral instability

引用

Gait & Posture 2022年 97卷 S68-S69页

作者： Guggenberger, B. Horsak, B. Habersack, A. Smith, C. Svehlik, M. Kainz, H. Department of Orthopaedics and Trauma Medical University of Graz Graz Austria Neuromechanics Research Group Department of Biomechanics- Kinesiology and Computer Science in Sport- Centre for Sport Science and University Sports- University of Vienna Vienna Austria Institute of Physiotherapy JOANNEUM University of Applied Sciences Graz Austria Center for Digital Health and Social Innovation St. Pölten University of Applied Sciences St. Pölten Austria Institute of Human Movement Science- Sport and Health University of Graz Graz Austria Department of Biomedical Engineering Steadman Philippon Research Institute Vail- CO USA

来源：评论

学校读者我要写书评

暂无评论

An Exploratory Study of Web Foraging to Understand and Support Programming Decisions

An Exploratory Study of Web Foraging to Understand and Suppo...

引用

IEEE Symposium on Visual Languages and human Centric Computing (VL/HCC)

作者： Jane Hsieh Michael Xieyang Liu Brad A. Myers Aniket Kittur Department of Computer Science Oberlin College Oberlin OH USA Human Computer Interaction Institute Carnegie Mellon University Pittsburgh PA USA

Programmers consistently engage in cognitively demanding tasks such as sense making and decision-making. During the information-foraging process, programmers are growing more reliant on resources available online since they contain masses of crowdsourced information and are easier to navigate. Content available in questions and answers on Stack Overflow presents a unique platform for studying the types of problems encountered in programming and possible solutions. In addition to classifying these questions, we introduce possible visual representations for organizing the gathered information and propose that such models may help reduce the cost of navigating, understanding and choosing solution alternatives.

关键词： Active filters Programming Task analysis Decision making Tools Visualization Navigation

来源：评论

学校读者我要写书评

暂无评论

Phase-Separated Multienzyme Compartmentalization for Terpene Biosynthesis in a Prokaryote

引用

Angewandte Chemie 2022年第29期134卷

作者： Yue Wang Min Liu Qixin Wei Wanjie Wu Yanping He Jiayang Gao Renjie Zhou Liwen Jiang Jianan Qu Jiang Xia Department of Chemistry and Center for Cell & Developmental Biology The Chinese University of Hong Kong Shatin Hong Kong SAR China Departments of Electronic and Computer Engineering Center of Systems Biology and Human Health School of Science and Institute for Advanced Study Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong SAR China Department of Biomedical Engineering The Chinese University of Hong Kong Shatin Hong Kong SAR China Center for Cell & Developmental Biology School of Life Sciences State Key Laboratory of Agrobiotechnology The Chinese University of Hong Kong Shatin Hong Kong SAR China

Liquid–liquid phase separation (LLPS) forms biomolecular condensates or coacervates in cells. Metabolic enzymes can form phase-separated subcellular compartments that enrich enzymes, cofactors, and substrates. Herein, we report the construction of synthetic multienzyme condensates that catalyze the biosynthesis of a terpene, α-farnesene, in the prokaryote E. coli . RGGRGG derived from LAF-1 was used as the scaffold protein to form the condensates by LLPS. Multienzyme condensates were then formed by assembling two enzymes Idi and IspA through an RIAD/RIDD interaction. Multienzyme condensates constructed inside E. coli cells compartmentalized the cytosolic space into regions of high and low enzyme density and led to a significant enhancement of α-farnesene production. This work demonstrates LLPS-driven compartmentalization of the cytosolic space of prokaryotic cells, condensation of a biosynthetic pathway, and enhancement of the biosynthesis of α-farnesene.

关键词： α-Farnesene Multienzyme Catalysis Multienzyme Compartmentalization Phase Separation Terpene Biosynthesis

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：