检索结果-内蒙古大学图书馆

arXiv 2025年

作者： Acharya, S. Agarwal, A. Rinella, G. Aglieri Aglietta, L. Agnello, M. Agrawal, N. Ahammed, Z. Ahmad, S. Ahn, S.U. Ahuja, I. Akindinov, A. Akishina, V. Al-Turany, M. Aleksandrov, D. Alessandro, B. Alfanda, H.M. Molina, R. Alfaro Ali, B. Alici, A. Alizadehvandchali, N. Alkin, A. Alme, J. Alocco, G. Alt, T. Altamura, A.R. Altsybeev, I. Alvarado, J.R. Anaam, M.N. Andrei, C. Andreou, N. Andronic, A. Andronov, E. Anguelov, V. Antinori, F. Antonioli, P. Apadula, N. Appelshäuser, H. Arata, C. Arcelli, S. Arnaldi, R. Arneiro, J.G.M.C.A. Arsene, I.C. Arslandok, M. Augustinus, A. Averbeck, R. Averyanov, D. Azmi, M.D. Baba, H. Badalà, A. Bae, J. Bae, Y. Baek, Y.W. Bai, X. Bailhache, R. Bailung, Y. Bala, R. Baldisseri, A. Balis, B. Bangalia, S. Banoo, Z. Barbasova, V. Barile, F. Barioglio, L. Barlou, M. Barman, B. Barnaföldi, G.G. Barnby, L.S. Barreau, E. Barret, V. Barreto, L. Barth, K. Bartsch, E. Bastid, N. Basu, S. Batigne, G. Battistini, D. Batyunya, B. Bauri, D. Alba, J.L. Bazo Bearden, I.G. Becht, P. Behera, D. Belikov, I. Hechavarria, A.D.C. Bell Bellini, F. Bellwied, R. Belokurova, S. Beltran, L.G.E. Beltran, Y.A.V. Bencedi, G. Bensaoula, A. Beole, S. Berdnikov, Y. Berdnikova, A. Bergmann, L. Bernardinis, L. Betev, L. Bhaduri, P.P. Bhasin, A. Bhattacharjee, B. Bhattarai, S. Bianchi, L. Bielčík, J. Bielčíková, J. Bigot, A.P. Bilandzic, A. Binoy, A. Biro, G. Biswas, S. Bize, N. Blair, J.T. Blau, D. Blidaru, M.B. Bluhme, N. Blume, C. Bock, F. Bodova, T. Bok, J. Boldizsár, L. Bombara, M. Bond, P.M. Bonomi, G. Borel, H. Borissov, A. Carcamo, A.G. Borquez Botta, E. Bouziani, Y.E.M. Brandibur, D.C. Bratrud, L. Braun-Munzinger, P. Bregant, M. Broz, M. Bruno, G.E. Buchakchiev, V.D. Buckland, M.D. Budnikov, D. Buesching, H. Bufalino, S. Buhler, P. Burmasov, N. Buthelezi, Z. Bylinkin, A. Bysiak, S.A. Noris, J.C. Cabanillas Cabrera, M.F.T. Caines, H. Caliva, A. Villar, E. Calvo Camacho, J.M.M. Camerini, P. Camerlingo, M.T. Max-Planck-Institut fur Physik Munich Germany Bologna Italy Dipartimento DET del Politecnico di Torino Turin Italy Department of Applied Physics Aligarh Muslim University Aligarh India Institute of Theoretical Physics University of Wroclaw Poland Facultad de Ciencias Universidad Nacional Autónoma de México Mexico City Mexico Foundation Yerevan Armenia AGH University of Krakow Cracow Poland Bogolyubov Institute for Theoretical Physics National Academy of Sciences of Ukraine Kiev Ukraine Kolkata India California Polytechnic State University San Luis ObispoCA United States Central China Normal University Wuhan China Havana Cuba Mérida Mexico City Mexico Chicago State University ChicagoIL United States China Nuclear Data Center China Institute of Atomic Energy Beijing China China University of Geosciences Wuhan China Chungbuk National University Cheongju Korea Republic of Comenius University Bratislava Faculty of Mathematics Physics and Informatics Bratislava Slovakia Creighton University OmahaNE United States Department of Physics Aligarh Muslim University Aligarh India Department of Physics Pusan National University Pusan Korea Republic of Department of Physics Sejong University Seoul Korea Republic of Department of Physics University of California BerkeleyCA United States Department of Physics University of Oslo Oslo Norway Department of Physics and Technology University of Bergen Bergen Norway Dipartimento di Fisica Università di Pavia Pavia Italy Dipartimento di Fisica dell’Università and Sezione INFN Cagliari Italy Dipartimento di Fisica dell’Università and Sezione INFN Trieste Italy Dipartimento di Fisica dell’Università and Sezione INFN Turin Italy Dipartimento di Fisica e Astronomia dell’Università and Sezione INFN Bologna Italy Dipartimento di Fisica e Astronomia dell’Università and Sezione INFN Catania Italy Dipartimento di Fisica e Astronomia dell’Università and Sezione INFN Padova Italy Dipartimento di Fisica E.R.

We present the measurement of the pT-differential production cross section of ω mesons in pp and p–Pb collisions at √sNN = 5.02 TeV at midrapidity by ALICE. In addition, the first measurement of the nuclear modification factor RpPb for ω mesons at LHC energies is presented, complementing the existing measurements of lighter neutral mesons such as the π0 and η. Within the measured pT-range, the RpPb of ω mesons shows no cold nuclear matter effects within the uncertainties, consistent with previous measurements at lower energies. The ω/π0 ratio is presented for both collision systems, showing no collision system dependence within the uncertainties. The comparison to previously published ω/π0 ratios at lower and higher collision energies in pp collisions suggests a decreasing trend of the ratio above pT = 4 GeV/c with increasing collision energy. The data in both collision systems are compared to predictions from PYTHIA 8, EPOS LHC and DPMJET event generators, revealing significant shortcomings in these models’ ability to describe the production of ω mesons. © 2025, CC BY.

关键词： Bosons

来源：评论

学校读者我要写书评

暂无评论

Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs

arXiv

引用

arXiv 2021年

作者： Sanders, Lauren M. Yang, Jason H. Scott, Ryan T. Qutub, Amina Ann Martin, Hector Garcia Berrios, Daniel C. Hastings, Jaden J.A. Rask, Jon Mackintosh, Graham Hoarfrost, Adrienne L. Chalk, Stuart Kalantari, John Khezeli, Kia Antonsen, Erik L. Babdor, Joel Barker, Richard Baranzini, Sergio E. Beheshti, Afshin Delgado-Aparicio, Guillermo M. Glicksberg, Benjamin S. Greene, Casey S. Haendel, Melissa Hamid, Arif A. Heller, Philip Jamieson, Daniel Jarvis, Katelyn J. Komarova, Svetlana V. Komorowski, Matthieu Kothiyal, Prachi Mahabal, Ashish Manor, Uri Mason, Christopher E. Matar, Mona Mias, George I. Miller, Jack Myers, Jerry G. Nelson, Charlotte Oribello, Jonathan Park, Seung-Min Parsons-Wingerter, Patricia Prabhu, R.K. Reynolds, Robert J. Saravia-Butler, Amanda Saria, Suchi Sawyer, Aenor Singh, Nitin Kumar Soboczenski, Frank Snyder, Michael Soman, Karthik Theriot, Corey A. van Valen, David Venkateswaran, Kasthuri Warren, Liz Worthey, Liz Zitnik, Marinka Costes, Sylvain V. Blue Marble Space Institute of Science Space Biosciences Division NASA Ames Research Center Moffett Field CA94035 United States Center for Emerging and Re-Emerging Pathogens Department of Microbiology Biochemistry and Molecular Genetics Rutgers New Jersey Medical School NewarkNJ07103 United States KBR Space Biosciences Division NASA Ames Research Center Moffett Field CA94035 United States AI MATRIX Consortium Department of Biomedical Engineering University of Texas San Antonio and UT Health Sciences San AntonioTX78249 United States Biological Systems and Engineering Division Lawrence Berkeley National Lab. BerkeleyCA94608 United States DOE Agile BioFoundry EmeryvilleCA94608 United States Joint BioEnergy Institute EmeryvilleCA94608 United States Department of Physiology and Biophysics Weill Cornell Medicine New YorkNY10065 United States Office of the Center Director NASA Ames Research Center Moffett Field CA94035 United States Bay Area Environmental Research Institute NASA Ames Research Center Moffett Field CA94035 United States Space Biosciences Division NASA Ames Research Center Moffett Field CA94035 United States Department of Chemistry University of North Florida JacksonvilleFL32224 United States Center for Individualized Medicine Department of Surgery Department of Quantitative Health Sciences Mayo Clinic RochesterMN55905 United States Department of Emergency Medicine Center for Space Medicine Baylor College of Medicine HoustonTX77030 United States Department of Microbiology and Immunology Department of Otolaryngology Head and Neck Surgery University of California San Francisco San FranciscoCA94143 United States The Gilroy AstroBiology Research Group The University of Wisconsin - Madison MadisonWI53706 United States Weill Institute for Neurosciences Department of Neurology University of California San Francisco San FranciscoCA94158 United States Data Science Analytics Georgia Institute of Technology Lima15024

Space biology research aims to understand fundamental effects of spaceflight on organisms, develop foundational knowledge to support deep space exploration, and ultimately bioengineer spacecraft and habitats to stabilize the ecosystem of plants, crops, microbes, animals, and humans for sustained multi-planetary life. To advance these aims, the field leverages experiments, platforms, data, and model organisms from both spaceborne and ground-analog studies. As research is extended beyond low Earth orbit, experiments and platforms must be maximally autonomous, light, agile, and intelligent to expedite knowledge discovery. Here we present a summary of recommendations from a workshop organized by the National Aeronautics and Space Administration on artificial intelligence, machine learning, and modeling applications which offer key solutions toward these space biology challenges. In the next decade, the synthesis of artificial intelligence into the field of space biology will deepen the biological understanding of spaceflight effects, facilitate predictive modeling and analytics, support maximally autonomous and reproducible experiments, and efficiently manage spaceborne data and metadata, all with the goal to enable life to thrive in deep space. © 2021, CC BY.

关键词： Predictive analytics

来源：评论

学校读者我要写书评

暂无评论

Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health

arXiv

引用

arXiv 2021年

作者： Scott, Ryan T. Antonsen, Erik L. Sanders, Lauren M. Hastings, Jaden J.A. Park, Seung-Min Mackintosh, Graham Reynolds, Robert J. Hoarfrost, Adrienne L. Sawyer, Aenor Greene, Casey S. Glicksberg, Benjamin S. Theriot, Corey A. Berrios, Daniel C. Miller, Jack Babdor, Joel Barker, Richard Baranzini, Sergio E. Beheshti, Afshin Chalk, Stuart Delgado-Aparicio, Guillermo M. Haendel, Melissa Hamid, Arif A. Heller, Philip Jamieson, Daniel Jarvis, Katelyn J. Kalantari, John Khezeli, Kia Komarova, Svetlana V. Komorowski, Matthieu Kothiyal, Prachi Mahabal, Ashish Manor, Uri Martin, Hector Garcia Mason, Christopher E. Matar, Mona Mias, George I. Myers, Jerry G. Nelson, Charlotte Oribello, Jonathan Parsons-Wingerter, Patricia Prabhu, R.K. Qutub, Amina Ann Rask, Jon Saravia-Butler, Amanda Saria, Suchi Singh, Nitin Kumar Soboczenski, Frank Snyder, Michael Soman, Karthik van Valen, David Venkateswaran, Kasthuri Warren, Liz Worthey, Liz Yang, Jason H. Zitnik, Marinka Costes, Sylvain V. KBR Space Biosciences Division NASA Ames Research Center Moffett FieldCA94035 United States Department of Emergency Medicine Center for Space Medicine Baylor College of Medicine HoustonTX77030 United States Blue Marble Space Institute of Science Space Biosciences Division NASA Ames Research Center Moffett FieldCA94035 United States Department of Physiology and Biophysics Weill Cornell Medicine New YorkNY10065 United States Department of Urology Department of Radiology Stanford University School of Medicine StanfordCA94305 United States Bay Area Environmental Research Institute NASA Ames Research Center Moffett FieldCA94035 United States Mortality Research & Consulting Inc. HoustonTX77058 United States Space Biosciences Division NASA Ames Research Center Moffett FieldCA94035 United States UC Space Health Department of Orthopaedic Surgery University of California San Francisco San FranciscoCA94143 United States Center for Health AI Department of Biochemistry and Molecular Genetics University of Colorado School of Medicine Anschutz Medical Campus AuroraCO80045 United States Hasso Plattner Institute for Digital Health at Mount Sinai Department of Genetics and Genomic Sciences Icahn School of Medicine at Mount Sinai New YorkNY10065 United States Department of Preventive Medicine and Community Health UTMB GalvestonTX77551 United States Human Health and Performance Directorate NASA Johnson Space Center HoustonTX77058 United States Department of Microbiology and Immunology Department of Otolaryngology Head and Neck Surgery University of California San Francisco San FranciscoCA94143 United States The Gilroy AstroBiology Research Group The University of Wisconsin Madison MadisonWI53706 United States Weill Institute for Neurosciences Department of Neurology University of California San Francisco San FranciscoCA94158 United States Department of Chemistry University of North Florida JacksonvilleFL32224 United States Data Scienc

Human space exploration beyond low Earth orbit will involve missions of significant distance and duration. To effectively mitigate myriad space health hazards, paradigm shifts in data and space health systems are necessary to enable Earth-independence, rather than Earth-reliance. Promising developments in the fields of artificial intelligence and machine learning for biology and health can address these needs. We propose an appropriately autonomous and intelligent Precision Space Health system that will monitor, aggregate, and assess biomedical statuses;analyze and predict personalized adverse health outcomes;adapt and respond to newly accumulated data;and provide preventive, actionable, and timely insights to individual deep space crew members and iterative decision support to their crew medical officer. Here we present a summary of recommendations from a workshop organized by the National Aeronautics and Space Administration, on future applications of artificial intelligence in space biology and health. In the next decade, biomonitoring technology, biomarker science, spacecraft hardware, intelligent software, and streamlined data management must mature and be woven together into a Precision Space Health system to enable humanity to thrive in deep space. © 2021, CC BY.

关键词： Earth (planet)

来源：评论

学校读者我要写书评

暂无评论

Quasifree Neutron Knockout Reaction Reveals a Small s-Orbital Component in the Borromean Nucleus B17

引用

Physical Review Letters 2021年第8期126卷 082501-082501页

作者： Z. H. Yang Y. Kubota A. Corsi K. Yoshida X.-X. Sun J. G. Li M. Kimura N. Michel K. Ogata C. X. Yuan Q. Yuan G. Authelet H. Baba C. Caesar D. Calvet A. Delbart M. Dozono J. Feng F. Flavigny J.-M. Gheller J. Gibelin A. Giganon A. Gillibert K. Hasegawa T. Isobe Y. Kanaya S. Kawakami D. Kim Y. Kiyokawa M. Kobayashi N. Kobayashi T. Kobayashi Y. Kondo Z. Korkulu S. Koyama V. Lapoux Y. Maeda F. M. Marqués T. Motobayashi T. Miyazaki T. Nakamura N. Nakatsuka Y. Nishio A. Obertelli A. Ohkura N. A. Orr S. Ota H. Otsu T. Ozaki V. Panin S. Paschalis E. C. Pollacco S. Reichert J.-Y. Roussé A. T. Saito S. Sakaguchi M. Sako C. Santamaria M. Sasano H. Sato M. Shikata Y. Shimizu Y. Shindo L. Stuhl T. Sumikama Y. L. Sun M. Tabata Y. Togano J. Tsubota F. R. Xu J. Yasuda K. Yoneda J. Zenihiro S.-G. Zhou W. Zuo T. Uesaka Research Center for Nuclear Physics (RCNP) Osaka University 10-1 Mihogaoka Ibaraki Osaka 567-0047 Japan RIKEN Nishina Center Hirosawa 2-1 Wako Saitama 351-0198 Japan Center for Nuclear Study The University of Tokyo Hongo 7-3-1 Bunkyo Tokyo 113-0033 Japan Département de Physique Nucléaire IRFU CEA Université Paris-Saclay F-91191 Gif-sur-Yvette France Advanced Science Research Center Japan Atomic Energy Agency Tokai Ibaraki 319-1195 Japan CAS Key Laboratory of Theoretical Physics Institute of Theoretical Physics Chinese Academy of Sciences Beijing 100190 China School of Physical Sciences University of Chinese Academy of Sciences Beijing 100049 China School of Physics and State Key Laboratory of Nuclear Physics and Technology Peking University Beijing 100871 China Department of Physics Hokkaido University Sapporo 060-0810 Japan Nuclear Reaction Data Centre Hokkaido University Sapporo 060-0810 Japan Institute of Modern Physics Chinese Academy of Sciences Lanzhou 730000 China School of Nuclear Science and Technology University of Chinese Academy of Sciences Beijing 100049 China Department of Physics Osaka City University Osaka 558-8585 Japan Sino-French Institute of Nuclear Engineering and Technology Sun Yat-Sen University Zhuhai 519082 Guangdong China Institut für Kernphysik Technische Universität Darmstadt D-64289 Darmstadt Germany IPN Orsay Université Paris Sud IN2P3-CNRS F-91406 Orsay Cedex France LPC Caen ENSICAEN Université de Caen Normandie CNRS/IN2P3 F-14050 Caen Cedex France Department of Physics Tohoku University Aramaki Aza-Aoba 6-3 Aoba Sendai Miyagi 980-8578 Japan Department of Applied Physics University of Miyazaki Gakuen-Kibanadai-Nishi 1-1 Miyazaki 889-2192 Japan Center for Exotic Nuclear Studies Institute for Basic Science Daejeon 34126 Republic of Korea Department of Physics The University of Tokyo Hongo 7-3-1 Bunkyo Tokyo 113-0033 Japan Department of Physics Tokyo Institute of Technology 2-12-1 O-Okayama Meguro To

A kinematically complete quasifree (p,pn) experiment in inverse kinematics was performed to study the structure of the Borromean nucleus B17, which had long been considered to have a neutron halo. By analyzing the momentum distributions and exclusive cross sections, we obtained the spectroscopic factors for 1s1/2 and 0d5/2 orbitals, and a surprisingly small percentage of 9(2)% was determined for 1s1/2. Our finding of such a small 1s1/2 component and the halo features reported in prior experiments can be explained by the deformed relativistic Hartree-Bogoliubov theory in continuum, revealing a definite but not dominant neutron halo in B17. The present work gives the smallest s- or p-orbital component among known nuclei exhibiting halo features and implies that the dominant occupation of s or p orbitals is not a prerequisite for the occurrence of a neutron halo.

关键词： Direct reactions Nuclear reactions Spectroscopic factors & electromagnetic moments Unstable nuclei induced nuclear reactions 6 ≤ A ≤ 19 Ab initio calculations Nuclear density functional theory Nuclear many-body theory Optical, coupled-channel & distorted wave models Radiation detectors Radioactive beams Shell model

来源：评论

学校读者我要写书评

暂无评论

ALMAGAL II. The ALMA evolutionary study of high-mass protocluster formation in the Galaxy ALMA data processing and pipeline

arXiv

引用

arXiv 2025年

作者： Sánchez-Monge, Á. Brogan, C.L. Hunter, T.R. Ahmadi, A. Avison, A. Beltrán, M.T. Beuther, H. Coletta, A. Fuller, G.A. Johnston, K.G. Jones, B. Liu, S.-Y. Mininni, C. Molinari, S. Schilke, P. Schisano, E. Su, Y.-N. Traficante, A. Zhang, Q. Battersby, C. Benedettini, M. Elia, D. Ho, P.T.P. Klaassen, P.D. Klessen, R.S. Law, C.Y. Lis, D.C. Liu, T. Maud, L. Möller, T. Moscadelli, L. Pezzuto, S. Rygl, K.L.J. Sanhueza, P. Soler, J.D. Stroud, G. Tang, Y. van der Tak, F.F.S. Walker, D.L. Wallace, J. Walch, S. Wells, M.R.A. Wyrowski, F. Zhang, T. Allande, J. Bronfman, L. Dann, E. De Angelis, F. Fontani, F. Henning, Th. Kim, W.-J. Kuiper, R. Merello, M. Nakamura, F. Nucara, A. Rigby, A.J. CSIC Campus UAB Carrer de Can Magrans s/n Bellaterra BarcelonaE-08193 Spain Castelldefels BarcelonaE-08860 Spain National Radio Astronomy Observatory 520 Edgemont Road CharlottesvilleVA22903 United States Leiden Observatory Leiden University PO Box 9513 Leiden2300 RA Netherlands SKA Observatory Jodrell Bank Lower Withington MacclesfieldSK11 9FT United Kingdom Jodrell Bank Centre for Astrophysics The University of Manchester Oxford Road ManchesterM13 9PL United Kingdom UK ALMA Regional Centre Node M13 9PL United Kingdom INAF-Osservatorio Astrofisico di Arcetri Largo E. Fermi 5 FirenzeI-50125 Italy Max Planck Institute for Astronomy Königstuhl 17 HeidelbergD-69117 Germany INAF-Istituto di Astrofisica e Planetologia Spaziale Via Fosso del Cavaliere 100 RomaI-00133 Italy Dipartimento di Fisica Sapienza Università di Roma Piazzale Aldo Moro 2 RomeI-00185 Italy I. Physikalisches Institut Universität zu Köln Zülpicher Str. 77 KölnD-50937 Germany School of Engineering and Physical Sciences Isaac Newton Building University of Lincoln Brayford Pool LincolnLN6 7TS United Kingdom Institute of Astronomy and Astrophysics Academia Sinica 11F of ASMAB AS/NTU No. 1 Sec. 4 Roosevelt Road Taipei10617 Taiwan Center for Astrophysics Harvard & Smithsonian 60 Garden St CambridgeMA02138 United States University of Connecticut Department of Physics 2152 Hillside Road Unit 3046 StorrsCT06269 United States East Asian Observatory 660 N. A’ohoku Hawaii HiloHI96720 United States UK Astronomy Technology Centre Royal Observatory Edinburgh Blackford Hill EdinburghEH9 3HJ United Kingdom Universität Heidelberg Zentrum für Astronomie Institut für Theoretische Astrophysik Heidelberg Germany Universität Heidelberg Interdisziplinäres Zentrum für Wissenschaftliches Rechnen Heidelberg Germany Radcliffe Institute for Advanced Studies Harvard University 10 Garden Street CambridgeMA02138 United States Jet Propulsion Laboratory California Institute o

Context. Stars form preferentially in clusters embedded inside massive molecular clouds, many of which contain high-mass stars. Thus, a comprehensive understanding of star formation requires a robust and statistically well-constrained characterization of the formation and early evolution of these high-mass star clusters. To achieve this, we designed the ALMAGAL Large Program that observed 1017 high-mass star-forming regions distributed throughout the Galaxy, sampling different evolutionary stages and environmental conditions. Aims. In this work, we present the acquisition and processing of the ALMAGAL data. The main goal is to set up a robust pipeline that generates science-ready products, that is, continuum and spectral cubes for each ALMAGAL field, with a good and uniform quality across the whole sample. Methods. ALMAGAL observations were performed with the Atacama Large Millimeter/submillimeter Array (ALMA). Each field was observed in three different telescope arrays, being sensitive to spatial scales ranging from ≈ 1000 au up to ≈ 0.1 pc. The spectral setup allows sensitive (≈ 0.1 mJy beam−1) imaging of the continuum emission at 219 GHz (or 1.38 mm), and it covers multiple molecular spectral lines observed in four different spectral windows that span about ≈ 4 GHz in frequency coverage. We have designed a Python-based processing workflow to calibrate and image these observational data. This ALMAGAL pipeline includes an improved continuum determination, suited for line-rich sources;an automatic self-calibration process that reduces phase-noise fluctuations and improves the dynamical range by up to a factor ≈ 5 in about 15% of the fields;and the combination of data from different telescope arrays to produce science-ready, fully combined images. Results. The final products are a set of uniformly generated continuum images and spectral cubes for each ALMAGAL field, including individual-array and combined-array products. The fully combined products have spatial resol

关键词： Giant stars

来源：评论

学校读者我要写书评

暂无评论

MFDL: A multicarrier fresnel penetration model based device-free localization system leveraging commodity Wi-Fi cards

arXiv

引用

arXiv 2017年

作者： Wang, Hao Zhang, Daqing Niu, Kai Lv, Qin Liu, Yuanhuai Wu, Dan Gao, Ruiyang Xie, Bing Key Laboratory of High Confidence Software Technologies Ministry of Education School of Electronics Engineering and Computer Science Peking University Academy for Advanced Interdisciplinary Studies Peking University Department of Computer Science University of Colorado Boulder

Device-free localization plays an important role in many ubiquitous applications. Among the different technologies proposed, Wi-Fi based technology using commercial devices has attracted much attention due to its low cost, ease of deployment, and high potential for accurate localization. Existing solutions use either fingerprints that require labor-intensive radio-map survey and updates, or models constructed from empirical studies with dense deployment of Wi-Fi transceivers. In this work, we explore the Fresnel Zone Theory in physics and propose a generic Fresnel Penetration Model (FPM), which reveals the linear relationship between specific Fresnel zones and multicarrier Fresnel phase difference, along with the Fresnel phase offset caused by static multipath environments. We validate FPM in both outdoor and complex indoor environments. Furthermore, we design a multicarrier FPM based device-free localization system (MFDL), which overcomes a number of practical challenges, particularly the Fresnel phase difference estimation and phase offset calibration in multipath-rich indoor environments. Extensive experimental results show that compared with the state-of-the-art work (LiFS), our MFDL system achieves better localization accuracy with much fewer number of Wi-Fi transceivers. Specifically, using only three transceivers, the median localization error of MFDL is as low as 45cm in an outdoor environment of 36m2, and 55cm in indoor settings of 25m2. Increasing the number of transceivers to four allows us to achieve 75cm median localization error in a 72m2 indoor area, compared with the 1.1m median localization error achieved by LiFS using 11 transceivers in a 70m2 area. Copyright © 2017, The Authors. All rights reserved.

关键词： Channel state information

来源：评论

学校读者我要写书评

暂无评论

Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021

引用

The Lancet 2023年第10397期402卷 203-234页

作者： Ong, Kanyin Liane Stafford, Lauryn K. McLaughlin, Susan A. Boyko, Edward J. Vollset, Stein Emil Smith, Amanda E. Dalton, Bronte E. Duprey, Joe Cruz, Jessica A. Hagins, Hailey Lindstedt, Paulina A. Aali, Amirali Abate, Yohannes Habtegiorgis Abate, Melsew Dagne Abbasian, Mohammadreza Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Mohsen ElHafeez, Samar Abd Abd-Rabu, Rami Abdulah, Deldar Morad Abdullah, Abu Yousuf Md Abedi, Vida Abidi, Hassan Aboagye, Richard Gyan Abolhassani, Hassan Abu-Gharbieh, Eman Abu-Zaid, Ahmed Adane, Tigist Demssew Adane, Denberu Eshetie Addo, Isaac Yeboah Adegboye, Oyelola A. Adekanmbi, Victor Adepoju, Abiola Victor Adnani, Qorinah Estiningtyas Sakilah Afolabi, Rotimi Felix Agarwal, Gina Aghdam, Zahra Babaei Agudelo-Botero, Marcela Arriagada, Constanza Elizabeth Aguilera Agyemang-Duah, Williams Ahinkorah, Bright Opoku Ahmad, Danish Ahmad, Rizwan Ahmad, Sajjad Ahmad, Aqeel Ahmadi, Ali Ahmadi, Keivan Ahmed, Ali Ahmed, Luai A. Ahmed, Syed Anees Ajami, Marjan Akinyemi, Rufus Olusola Al Hamad, Hanadi Al Hasan, Syed Mahfuz AL-Ahdal, Tareq Mohammed Ali Alalwan, Tariq A. Al-Aly, Ziyad AlBataineh, Mohammad T. Alcalde-Rabanal, Jacqueline Elizabeth Alemi, Sharifullah Ali, Hassam Alinia, Tahereh Aljunid, Syed Mohamed Almustanyir, Sami Al-Raddadi, Rajaa M. Alvis-Guzman, Nelson Amare, Firehiwot Ameyaw, Edward Kwabena Amiri, Sohrab Amusa, Ganiyu Adeniyi Andrei, Catalina Liliana Anjana, Ranjit Mohan Ansar, Adnan Ansari, Golnoosh Ansari-Moghaddam, Alireza Anyasodor, Anayochukwu Edward Arabloo, Jalal Aravkin, Aleksandr Y. Areda, Demelash Arifin, Hidayat Arkew, Mesay Armocida, Benedetta Arnlov, Johan Artamonov, Anton A. Arulappan, Judie Aruleba, Raphael Taiwo Arumugam, Ashokan Aryan, Zahra Asemu, Mulu Tiruneh Asghari-Jafarabadi, Mohammad Askari, Elaheh Asmelash, Daniel Astell-Burt, Thomas Athar, Mohammad Athari, Seyyed Shamsadin Atout, Maha Moh'd Wahbi Avila-Burgos, Leticia Awaisu, Ahmed Azadnajafabad, Sina Darshan, B.B. Babamohamadi, Hassan Badar, Muhammad Badawi, Alaa Badiye, Ashish D. Baghcheghi, Nayereh Baghe Institute for Health Metrics and Evaluation School of Medicine General Medicine Service Department of Veterans Affairs Seattle WA United States Department of Health Metrics Sciences School of Medicine Faculty of Medicine France Department of Clinical Governance and Quality Improvement Aleta Wondo Hospital Aleta Wondo Ethiopia Department of Nursing Woldia University Woldia Ethiopia Department of Nursing Department of Orthopedic Surgery Orthopaedic Surgery Social Determinants of Health Research Center Non-communicable Diseases Research Center Epidemiology Department Evidence-Based Practice Center Community and Maternity Nursing Unit University of Duhok Duhok Iraq School of Planning Faculty of Environment Department of Public Health Sciences Penn State College of Medicine Pennsylvania State University Hershey PA United States Biocomplexity Institute Virginia Tech Blacksburg VA United States College of Medicine Department of Public Health Laboratory Technology Sciences Department Department of Family and Community Health University of Health and Allied Sciences Ho Ghana Research Center for Immunodeficiencies Department of Biosciences and Nutrition Karolinska University Hospital Huddinge Sweden Clinical Sciences Department Department of Surgery Department of Surgery Department of Obstetrics & Gynecology College of Graduate Health Sciences University of Tennessee Memphis TN United States Department of Obstetrics & Gynecology Department of Clinical and Psychosocial Epidemiology Department of Anesthesia and Critical Care Centre for Social Research in Health Quality and Systems Performance Unit Cancer Institute NSW Sydney NSW Australia Department of Public Health and Tropical Medicine HIV and Infectious Diseases Department Jhpiego Abuja Nigeria Adolescent Research and Care Department Adolescent Friendly Research Initiative and Care Ado Ekiti Nigeria Department of Epidemiology Department of Epidemiology and Medical Statistics Department of Family Medicine McMaster University

Background: Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. Methods: Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined;these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs;defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims;type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative r

关键词：

来源：评论

学校读者我要写书评

暂无评论

Quasi-free neutron knockout reaction reveals a small s-orbital component in the borromean nucleus 17B

arXiv

引用

arXiv 2021年

作者： Yang, Z.H. Kubota, Y. Corsi, A. Yoshida, K. Sun, X.-X. Li, J.G. Kimura, M. Michel, N. Ogata, K. Yuan, C.X. Yuan, Q. Authelet, G. Baba, H. Caesar, C. Calvet, D. Delbart, A. Dozono, M. Feng, J. Flavigny, F. Gheller, J.-M. Gibelin, J. Giganon, A. Gillibert, A. Hasegawa, K. Isobe, T. Kanaya, Y. Kawakami, S. Kim, D. Kiyokawa, Y. Kobayashi, M. Kobayashi, N. Kobayashi, T. Kondo, Y. Korkulu, Z. Koyama, S. Lapoux, V. Maeda, Y. Marqués, F.M. Motobayashi, T. Miyazaki, T. Nakamura, T. Nakatsuka, N. Nishio, Y. Obertelli, A. Ohkura, A. Orr, N.A. Ota, S. Otsu, H. Ozaki, T. Panin, V. Paschalis, S. Pollacco, E.C. Reichert, S. Roussé, J.-Y. Saito, A.T. Sakaguchi, S. Sako, M. Santamaria, C. Sasano, M. Sato, H. Shikata, M. Shimizu, Y. Shindo, Y. Stuhl, L. Sumikama, T. Sun, Y.L. Tabata, M. Togano, Y. Tsubota, J. Xu, F.R. Yasuda, J. Yoneda, K. Zenihiro, J. Zhou, S.-G. Zuo, W. Uesaka, T. Osaka University 10-1 Mihogaoka Ibaraki Osaka567-0047 Japan RIKEN Nishina Center Hirosawa 2-1 Wako Saitama351-0198 Japan Center for Nuclear Study University of Tokyo Hongo 7-3-1 Bunkyo Tokyo113-0033 Japan Département de Physique Nucléaire IRFU CEA Université Paris-Saclay Gif-sur-YvetteF-91191 France Advanced Science Research Center Japan Atomic Energy Agency Tokai Ibaraki319-1195 Japan CAS Key Laboratory of Theoretical Physics Institute of Theoretical Physics Chinese Academy of Sciences Beijing100190 China School of Physical Sciences University of Chinese Academy of Sciences Beijing100049 China School of Physics State Key Laboratory of Nuclear Physics and Technology Peking University Beijing100871 China Department of Physics Hokkaido University Sapporo060-0810 Japan Nuclear Reaction Data Centre Hokkaido University Sapporo060-0810 Japan Institute of Modern Physics Chinese Academy of Sciences Lanzhou730000 China School of Nuclear Science and Technology University of Chinese Academy of Sciences Beijing100049 China Department of Physics Osaka City University Osaka558-8585 Japan Sino-French Institute of Nuclear Engineering and Technology Sun Yat-Sen University Zhuhai Guangdong519082 China Institut für Kernphysik Technische Universität Darmstadt DarmstadtD-64289 Germany IPN Orsay Université Paris Sud IN2P3-CNRS Orsay CedexF-91406 France LPC Caen ENSICAEN Université de Caen Normandie CNRS/IN2P3 Caen CedexF-14050 France Department of Physics Tohoku University Aramaki Aza-Aoba 6-3 Aoba Sendai Miyagi980-8578 Japan Department of Applied Physics University of Miyazaki Gakuen-Kibanadai-Nishi 1-1 Miyazaki889-2192 Japan Center for Exotic Nuclear Studies Institute for Basic Science Daejeon34126 Korea Republic of Department of Physics University of Tokyo Hongo 7-3-1 Bunkyo Tokyo113-0033 Japan Department of Physics Tokyo Institute of Technology 2-12-1 O-Okayama Meguro Tokyo152-8551 Japan P.O. Box 51 DebrecenH-4001 H

A kinematically complete quasi-free (p, pn) experiment in inverse kinematics was performed to study the structure of the Borromean nucleus 17B, which had long been considered to have neutron halo. By analyzing the momentum distributions and exclusive cross sections, we obtained the spectroscopic factors for 1s1/2 and 0d5/2 orbitals, and a surprisingly small percentage of 9(2)% was determined for 1s1/2. Our finding of such a small 1s1/2 component and the halo features reported in prior experiments can be explained by the deformed relativistic Hartree-Bogoliubov theory in continuum, revealing a definite but not dominant neutron halo in 17B. The present work gives the smallest s- or p-orbital component among known nuclei exhibiting halo features, and implies that the dominant occupation of s or p orbitals is not a prerequisite for the occurrence of neutron halo. © 2021, CC BY.

关键词： Inverse kinematics

来源：评论

学校读者我要写书评

暂无评论

Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

引用

Nature 2024年第8003期627卷 347-357页

作者： Ken Suzuki Konstantinos Hatzikotoulas Lorraine Southam Henry J Taylor Xianyong Yin Kim M Lorenz Ravi Mandla Alicia Huerta-Chagoya Giorgio E M Melloni Stavroula Kanoni Nigel W Rayner Ozvan Bocher Ana Luiza Arruda Kyuto Sonehara Shinichi Namba Simon S K Lee Michael H Preuss Lauren E Petty Philip Schroeder Brett Vanderwerff Mart Kals Fiona Bragg Kuang Lin Xiuqing Guo Weihua Zhang Jie Yao Young Jin Kim Mariaelisa Graff Fumihiko Takeuchi Jana Nano Amel Lamri Masahiro Nakatochi Sanghoon Moon Robert A Scott James P Cook Jung-Jin Lee Ian Pan Daniel Taliun Esteban J Parra Jin-Fang Chai Lawrence F Bielak Yasuharu Tabara Yang Hai Gudmar Thorleifsson Niels Grarup Tamar Sofer Matthias Wuttke Chloé Sarnowski Christian Gieger Darryl Nousome Stella Trompet Soo-Heon Kwak Jirong Long Meng Sun Lin Tong Wei-Min Chen Suraj S Nongmaithem Raymond Noordam Victor J Y Lim Claudia H T Tam Yoonjung Yoonie Joo Chien-Hsiun Chen Laura M Raffield Bram Peter Prins Aude Nicolas Lisa R Yanek Guanjie Chen Jennifer A Brody Edmond Kabagambe Ping An Anny H Xiang Hyeok Sun Choi Brian E Cade Jingyi Tan K Alaine Broadaway Alice Williamson Zoha Kamali Jinrui Cui Manonanthini Thangam Linda S Adair Adebowale Adeyemo Carlos A Aguilar-Salinas Tarunveer S Ahluwalia Sonia S Anand Alain Bertoni Jette Bork-Jensen Ivan Brandslund Thomas A Buchanan Charles F Burant Adam S Butterworth Mickaël Canouil Juliana C N Chan Li-Ching Chang Miao-Li Chee Ji Chen Shyh-Huei Chen Yuan-Tsong Chen Zhengming Chen Lee-Ming Chuang Mary Cushman John Danesh Swapan K Das H Janaka de Silva George Dedoussis Latchezar Dimitrov Ayo P Doumatey Shufa Du Qing Duan Kai-Uwe Eckardt Leslie S Emery Daniel S Evans Michele K Evans Krista Fischer James S Floyd Ian Ford Oscar H Franco Timothy M Frayling Barry I Freedman Pauline Genter Hertzel C Gerstein Vilmantas Giedraitis Clicerio González-Villalpando Maria Elena González-Villalpando Penny Gordon-Larsen Myron Gross Lindsay A Guare Sophie Hackinger Liisa Hakaste Sohee Han Andrew T Hattersley Christian Herder Momoko Horikoshi Annie-Green Howard Willa Centre for Genetics and Genomics Versus Arthritis Centre for Musculoskeletal Research Division of Musculoskeletal and Dermatological Sciences University of Manchester Manchester UK. Department of Diabetes and Metabolic Diseases Graduate School of Medicine University of Tokyo Tokyo Japan. Department of Statistical Genetics Osaka University Graduate School of Medicine Suita Japan. Institute of Translational Genomics Helmholtz Zentrum München German Research Center for Environmental Health Neuherberg Germany. konstantinos.hatzikotoulas@helmholtz-munich.de. Institute of Translational Genomics Helmholtz Zentrum München German Research Center for Environmental Health Neuherberg Germany. Center for Precision Health Research National Human Genome Research Institute National Institutes of Health Bethesda MD USA. British Heart Foundation Cardiovascular Epidemiology Unit Department of Public Health and Primary Care University of Cambridge Cambridge UK. Heart and Lung Research Institute University of Cambridge Cambridge UK. Department of Epidemiology School of Public Health Nanjing Medical University Nanjing China. Department of Biostatistics and Center for Statistical Genetics University of Michigan Ann Arbor MI USA. Corporal Michael J. Crescenz VA Medical Center Philadelphia PA USA. Department of Systems Pharmacology and Translational Therapeutics University of Pennsylvania Perelman School of Medicine Philadelphia PA USA. Department of Genetics University of Pennsylvania Perelman School of Medicine Philadelphia PA USA. Programs in Metabolism and Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA USA. Diabetes Unit and Center for Genomic Medicine Massachusetts General Hospital Boston MA USA. TIMI Study Group Division of Cardiovascular Medicine Brigham and Women's Hospital Harvard Medical School Boston MA USA. William Harvey Research Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London L

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes and molecular mechanisms that are often specific to cell type. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 × 10) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Characterization of temporarily-captured minimoon 2020 CD3 by Keck time-resolved spectrophotometry

arXiv

引用

arXiv 2020年

作者： Bolin, Bryce T. Fremling, Christoffer Holt, Timothy R. Hankins, Matthew J. Ahumada, Tomás Anand, Shreya Bhalerao, Varun Burdge, Kevin B. Copperwheat, Chris M. Coughlin, Michael Deshmukh, Kunal P. De, Kishalay Kasliwal, Mansi M. Morbidelli, Alessandro Purdum, Josiah N. Quimby, Robert Bodewits, Dennis Chang, Chan-Kao Ip, Wing-Huen Hsu, Chen-Yen Laher, Russ R. Lin, Zhong-Yi Lisse, Carey M. Masci, Frank J. Ngeow, Chow-Choong Tan, Hanjie Zhai, Chengxing Burruss, Rick Dekany, Richard Delacroix, Alexandre Duev, Dmitry A. Graham, Matthew Hale, David Kulkarni, Shrinivas R. Kupfer, Thomas Mahabal, Ashish Mróz, Przemyslaw J. Neill, James D. Riddle, Reed Rodriguez, Hector Smith, Roger M. Soumagnac, Maayane T. Walters, Richard Yan, Lin Zolkower, Jeffry Division of Physics Mathematics and Astronomy California Institute of Technology PasadenaCA91125 United States IPAC Mail Code 100-22 Caltech 1200 E. California Blvd. PasadenaCA91125 United States University of Southern Queensland Computational Engineering and Science Research Centre QLD Australia Southwest Research Institute Department of Space Studies BoulderCO80302 United States Department of Astronomy University of Maryland College ParkMD20742 United States Division of Physics Mathematics and Astronomy California Institute of Technology PasadenaCA91125 United States Department of Physics Indian Institute of Technology Bombay Powai Mumbai400076 India Astrophysics Research Institute Liverpool John Moores University 146 Brownlow Hill LiverpoolL3 5RF United Kingdom School of Physics and Astronomy University of Minnesota MinneapolisMN55455 United States Department of Metallurgical Engineering and Materials Science Indian Institute of Technology Bombay Powai Mumbai400076 India Université Côte d’Azur Observatoire de la Côte d’Azur CNRS Laboratoire Lagrange Boulevard de l’Observatoire CS 34229 Nice cedex 406304 France Department of Astronomy San Diego State University 5500 Campanile Dr San DiegoCA92182 United States University of Tokyo Institutes for Advanced Study University of Tokyo KashiwaChiba277-8583 Japan Physics Department Leach Science Center Auburn University AuburnAL36832 United States Institute of Astronomy National Central University 32001 Taiwan Johns Hopkins University Applied Physics Laboratory LaurelMD20723 United States Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Drive PasadenaCA91109 United States Caltech Optical Observatories California Institute of Technology PasadenaCA91125 United States Kavli Institute for Theoretical Physics University of California Santa BarbaraCA93106 United States Center for Data Driven Discovery California Institute of Technology PasadenaCA

We present rotationally-averaged visible spectrophotometry of minimoon 2020 CD3, the second asteroid known to become temporarily captured by the Earth-Moon system’s gravitational field. The spectrophotometry was taken with Keck I/LRIS between wavelengths 434 nm and 912 nm in B, g, V, R, I and RG850 filters as it was leaving the Earth-Moon system on 2020 March 23 UTC. The broad-band spectrophotometry of 2020 CD3 most closely resembles the spectra of V-type asteroids and some Lunar rock samples with a reddish slope of ∼18%/100 nm between 434 nm and 761 nm corresponding to colors of g-r = 0.62±0.08, r-i = 0.21 ± 0.06 and an absorption band at ∼900 nm corresponding to i-z = -0.54±0.10 (DeMeo et al. 2009;Isaacson et al. 2011). Combining our measured 31.9±0.1 absolute magnitude with an albedo of 0.35 typical for V-type asteroids (DeMeo & Carry 2013), we determine 2020 CD3’s size to be ∼1.0±0.1 m making it the first minimoon and one of the smallest asteroids to be spectrally characterized. We use our time-series photometry to detect periodic lightcurve variations with a −4 false alarm probability corresponding to a lightcurve period of ∼573 s and a lightcurve amplitude of ∼1 mag implying 2020 CD3 possesses a b/a axial ratio of ∼2.5. In addition, we extend the observational arc of 2020 CD3 to 37 days between 2020 February 15 UTC and 2020 March 23 UTC. From the improved orbital solution for 2020 CD3, we estimate its likely duration of its capture to be ∼2 y, and we measure the non-gravitation perturbation on its orbit due to radiation pressure with an area-to-mass ratio of 6.9±2.4×10−4 m2/kg implying a density of 2.1±0.7 g/cm3, broadly compatible with the densities of other meter-scale asteroids (e.g., Micheli et al. 2012;Mommert et al. 2014) and Lunar rock (∼2.4 g/cm3, Kiefer et al. 2012). We searched for pre-discovery observations of 2020 CD3 in the ZTF archive as far back as 2018 October (Masci et al. 2019), but were unable to locate any positive detections. Copyright © 2

关键词： Asteroids

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：