检索结果-内蒙古大学图书馆

Corrigendum to "Placental MRI: Effect of maternal position and uterine contractions on placental BOLD MRI measurements" [Placenta 95 (2020) 69-77]

引用

Placenta 2020年 100卷 171-172页

作者： Esra Abaci Turk S Mazdak Abulnaga Jie Luo Jeffrey N Stout Henry A Feldman Ata Turk Borjan Gagoski Lawrence L Wald Elfar Adalsteinsson Drucilla J Roberts Carolina Bibbo Julian N Robinson Polina Golland P Ellen Grant William H Barth Fetal-Neonatal Neuroimaging & Developmental Science Center Boston Children's Hospital Harvard Medical School Boston MA USA. Electronic address: esra.abaciturk@childrens.harvard.edu. Computer Science and Artificial Intelligence Laboratory (CSAIL) Massachusetts Institute of Technology Cambridge MA USA. Fetal-Neonatal Neuroimaging & Developmental Science Center Boston Children's Hospital Harvard Medical School Boston MA USA School of Biomedical Engineering Shanghai Jiao Tong University Shanghai China. Fetal-Neonatal Neuroimaging & Developmental Science Center Boston Children's Hospital Harvard Medical School Boston MA USA. Institutional Centers for Clinical and Translational Research Boston Children's Hospital Harvard Medical School Boston MA USA. Electrical Computer Engineering Department Boston University Boston MA USA. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA USA Radiology Harvard Medical School Boston MA United States Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Charlestown MA United States. Harvard-MIT Health Sciences and Technology Massachusetts Institute of Technology Cambridge MA USA Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge MA USA. Department of Pathology Massachusetts General Hospital Boston MA USA. Maternal Fetal Medicine Brigham and Women's Hospital Boston MA USA. Computer Science and Artificial Intelligence Laboratory (CSAIL) Massachusetts Institute of Technology Cambridge MA USA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA USA. Maternal-Fetal Medicine Obstetrics and Gynecology Massachusetts General Hospital Boston MA USA.

来源：评论

学校读者我要写书评

暂无评论

Flexible neural representation for physics prediction 32

Flexible neural representation for physics prediction

引用

32nd Conference on Neural Information Processing Systems, NeurIPS 2018

作者： Mrowca, Damian Zhuang, Chengxu Wang, Elias Haber, Nick Fei-Fei, Li Tenenbaum, Joshua B. Yamins, Daniel L.K. Department of Computer Science Psychology Electrical Engineering Pediatrics and Biomedical Data Science Wu Tsai Neurosciences Institute StanfordCA94305 United States Department of Brain and Cognitive Sciences Computer Science and Artificial Intelligence Laboratory MIT CambridgeMA02139 United States

Humans have a remarkable capacity to understand the physical dynamics of objects in their environment, flexibly capturing complex structures and interactions at multiple levels of detail. Inspired by this ability, we propose a hierarchical particle-based object representation that covers a wide variety of types of three-dimensional objects, including both arbitrary rigid geometrical shapes and deformable materials. We then describe the Hierarchical Relation Network (HRN), an end-to-end differentiable neural network based on hierarchical graph convolution, that learns to predict physical dynamics in this representation. Compared to other neural network baselines, the HRN accurately handles complex collisions and nonrigid deformations, generating plausible dynamics predictions at long time scales in novel settings, and scaling to large scene configurations. These results demonstrate an architecture with the potential to form the basis of next-generation physics predictors for use in computer vision, robotics, and quantitative cognitive science. © 2018 Curran Associates *** rights reserved.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Correction: Dynamical machine learning volumetric reconstruction of objects' interiors from limited angular views

引用

Light, science & applications 2021年第1期10卷 178页

作者： Iksung Kang Alexandre Goy George Barbastathis Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology 77 Massachusetts Ave Cambridge MA USA. iskang@mit.edu. Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA. Omnisens SA Morges 1110 Switzerland. Singapore-MIT Alliance for Research and Technology (SMART) Centre 1 Create Way Singapore 117543 Singapore.

来源：评论

学校读者我要写书评

暂无评论

Using the Sun to Measure the Primary Beam Response of the Canadian Hydrogen Intensity Mapping Experiment

arXiv

引用

arXiv 2022年

作者： Amiri, Mandana Bandura, Kevin Boskovic, Anja Cliche, Jean-François Deng, Meiling Dobbs, Matt Fandino, Mateus Foreman, Simon Halpern, Mark Hill, Alex S. Hinshaw, Gary Höfer, Carolin Kania, Joseph Landecker, T.L. MacEachern, Joshua Masui, Kiyoshi Mena-Parra, Juan Newburgh, Laura Ordog, Anna Pinsonneault-Marotte, Tristan Polzin, Ava Reda, Alex Richard Shaw, J. Siegel, Seth R. Singh, Saurabh Vanderlinde, Keith Wang, Haochen Willis, James S. Wulf, Dallas Department of Physics and Astronomy University of British Columbia VancouverBC Canada Department of Computer Science and Electrical Engineering West Virginia University MorgantownWV United States Department of Physics McGill University MontrealQC Canada Dominion Radio Astrophysical Observatory Herzberg Astronomy & Astrophysics Research Centre National Research Council Canada PentictonBC Canada Perimeter Institute for Theoretical Physics WaterlooON Canada Department of Physical Sciences Thompson Rivers University KamloopsBC Canada Department of Computer Science Math Physics and Statistics University of British Columbia-Okanagan KelownaBC Canada Department of Physics and Astronomy West Virginia University MorgantownWV United States MIT Kavli Institute for Astrophysics and Space Research Massachusetts Institute of Technology CambridgeMA United States Department of Physics Massachusetts Institute of Technology CambridgeMA United States Department of Physics Yale University New HavenCT United States Department of Astronomy Yale University New HavenCT United States Raman Research Institute Sadashivanagar Bengaluru India David A. Dunlap Department of Astronomy & Astrophysics University of Toronto TorontoON Canada Dunlap Institute for Astronomy and Astrophysics University of Toronto TorontoON Canada

We present a beam pattern measurement of the Canadian Hydrogen Intensity Mapping Experiment (CHIME) made using the Sun as a calibration source. As CHIME is a pure drift scan instrument, we rely on the seasonal North-South motion of the Sun to probe the beam at different elevations. This semiannual range in elevation, combined with the radio brightness of the Sun, enables a beam measurement which spans ∼7,200 square degrees on the sky without the need to move the telescope. We take advantage of observations made near solar minimum to minimize the impact of solar variability, which is observed to be © 2022, CC BY.

关键词： Calibration

来源：评论

学校读者我要写书评

暂无评论

Computationally designed proteins mimic antibody immune evasion in viral evolution

引用

Immunity 2025年第6期58卷 1411-1421.e6页

作者： Youssef, Noor Gurev, Sarah Ghantous, Fadi Brock, Kelly P. Jaimes, Javier A. Thadani, Nicole N. Dauphin, Ann Sherman, Amy C. Yurkovetskiy, Leonid Soto, Daria Estanboulieh, Ralph Kotzen, Ben Notin, Pascal Kollasch, Aaron W. Cohen, Alexander A. Dross, Sandra E. Erasmus, Jesse Fuller, Deborah H. Bjorkman, Pamela J. Lemieux, Jacob E. Luban, Jeremy Seaman, Michael S. Marks, Debora S. Department of Systems Biology Harvard Medical School Boston 02115 MA United States Broad Institute of Harvard and MIT Cambridge 02139 MA United States Department of Electrical Engineering and Computer Science MIT Cambridge 02139 MA United States Center for Virology and Vaccine Research Beth Israel Deaconess Medical Center Boston 02215 MA United States Program in Molecular Medicine University of Massachusetts Chan Medical School Worcester 01655 MA United States Division of Infectious Diseases Department of Medicine Brigham and Women's Hospital Boston 02115 MA United States Massachusetts General Hospital Boston 02114 MA United States Division of Biology and Biological Engineering California Institute of Technology Pasadena 91125 CA United States Department of Microbiology University of Washington Seattle 98195 WA United States National Primate Research Center Seattle 98109 WA United States HDT Bio Seattle 98109 WA United States Massachusetts Consortium on Pathogen Readiness Boston 02115 MA United States Ragon Institute of MGH MIT and Harvard Cambridge 02139 MA United States

Recurrent waves of viral infection necessitate vaccines and therapeutics that remain effective against emerging viruses. Our ability to evaluate interventions is currently limited to assessments against past or circulating variants, which likely differ in their immune escape potential compared with future variants. To address this, we developed EVE-Vax, a computational method for designing antigens that foreshadow immune escape observed in future viral variants. We designed 83 SARS-CoV-2 spike proteins that transduced ACE2-positive cells and displayed neutralization resistance comparable to variants that emerged up to 12 months later in the COVID-19 pandemic. Designed spikes foretold antibody escape from B.1-BA.4/5 bivalent booster sera seen in later variants. The designed constructs also highlighted the increased neutralization breadth elicited by nanoparticle-based, compared with mRNA-based, boosters in non-human primates. Our approach offers targeted panels of synthetic proteins that map the immune landscape for early vaccine and therapeutic evaluation against future viral strains. © 2025 The Authors

关键词： antibody escape generative protein models immune landscape machine learning protein design vaccine evaluation viral evolution

来源：评论

学校读者我要写书评

暂无评论

Demonstration of long-range correlations via susceptibility measurements in a one-dimensional superconducting Josephson spin chain

arXiv

引用

arXiv 2021年

作者： Tennant, Daniel M. Dai, Xi Martinez, Antonio J. Trappen, Robbyn Melanson, Denis Yurtalan, M.A. Tang, Yongchao Bedkihal, Salil Yang, Rui Novikov, Sergei Grover, Jeffery A. Disseler, Steven M. Basham, James I. Das, Rabindra Kim, David K. Melville, Alexander J. Niedzielski, Bethany M. Weber, Steven J. Yoder, Jonilyn L. Kerman, Andrew J. Mozgunov, Evgeny Lidar, Daniel A. Lupascu, Adrian Institute for Quantum Computing University of Waterloo WaterlooONN2L 3G1 Canada Department of Physics and Astronomy University of Waterloo WaterlooONN2L 3G1 Canada Northrop Grumman Corporation LinthicumMD21090 United States MIT Lincoln Laboratory LexingtonMA02421 United States Center for Quantum Information Science & Technology University of Southern California Los AngelesCA90089 United States Departments of Electrical & Computer Engineering Chemistry and Physics Waterloo Institute for Nanotechnology University of Waterloo WaterlooONN2L 3G1 Canada

Spin chains have long been considered an effective medium for long-range interactions, entanglement generation, and quantum state transfer. In this work, we explore the properties of a spin chain implemented with superconducting flux circuits, designed to act as a connectivity medium between two superconducting qubits. The susceptibility of the chain is probed and shown to support long-range, cross chain correlations. In addition, interactions between the two end qubits, mediated by the coupler chain, are demonstrated. This work has direct applicability in near term quantum annealing processors as a means of generating long-range, coherent coupling between qubits. © 2021, CC BY.

关键词： Spin dynamics

来源：评论

学校读者我要写书评

暂无评论

Echo Planar Time-Resolved Imaging (EPTI) with subspace reconstruction and optimized spatiotemporal encoding

arXiv

引用

arXiv 2019年

作者： Dong, Zijing Wang, Fuyixue Reese, Timothy G. Bilgic, Berkin Setsompop, Kawin Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital CharlestownMA United States Department of Electrical Engineering and Computer Science MIT CambridgeMA United States Harvard-MIT Health Sciences and Technology MIT CambridgeMA United States Department of Radiology Harvard Medical School BostonMA United States

Purpose: To develop new encoding and reconstruction techniques for fast multi-contrast/quantitative imaging. Methods: The recently proposed Echo Planar Time-resolved Imaging (EPTI) technique can achieve fast distortion- and blurring-free multi-contrast/quantitative imaging. In this work, a subspace reconstruction framework is developed to improve the reconstruction accuracy of EPTI at high encoding accelerations. The number of unknowns in the reconstruction is significantly reduced by modeling the temporal signal evolutions using low-rank subspace. As part of the proposed reconstruction approach, a B0-update algorithm and a shot-to-shot B0 variation correction method are developed to enable the reconstruction of high-resolution tissue phase images and to mitigate artifacts from shot-to-shot phase variations. Moreover, the EPTI concept is extended to 3D k-space for 3D GE-EPTI, where a new ‘temporal-variant’ of CAIPI encoding is proposed to further improve performance. Results: The effectiveness of the proposed subspace reconstruction was demonstrated first in 2D GESE EPTI, where the reconstruction achieved higher accuracy when compared to conventional B0-informed GRAPPA. For 3D GE-EPTI, a retrospective undersampling experiment demonstrates that the new temporal-variant CAIPI encoding can achieve up to 72× acceleration with close to 2× reduction in reconstruction error when compared to conventional spatiotemporal-CAIPI encoding. In a prospective undersampling experiment, high-quality whole-brain T2* and QSM maps at 1 mm isotropic resolution was acquired in 52 seconds at 3T using 3D GE-EPTI with temporal-variant CAIPI encoding. Conclusion: The proposed subspace reconstruction and optimized temporal-variant CAIPI encoding can further improve the performance of EPTI for fast quantitative mapping. Copyright © 2019, The Authors. All rights reserved.

关键词： Signal encoding

来源：评论

学校读者我要写书评

暂无评论

Publisher Correction: The ENCODE Imputation Challenge: a critical assessment of methods for cross-cell type imputation of epigenomic profiles

引用

Genome biology 2025年第1期26卷 31页

作者： Jacob Matthew Schreiber Carles A Boix Jin Wook Lee Hongyang Li Yuanfang Guan Chun-Chieh Chang Jen-Chien Chang Alex Hawkins-Hooker Bernhard Schölkopf Gabriele Schweikert Mateo Rojas Carulla Arif Canakoglu Francesco Guzzo Luca Nanni Marco Masseroli Mark James Carman Pietro Pinoli Chenyang Hong Kevin Y Yip Jefrey P Spence Sanjit Singh Batra Yun S Song Shaun Mahony Zheng Zhang Wuwei Tan Yang Shen Yuanfei Sun Minyi Shi Jessika Adrian Richard S Sandstrom Nina P Farrell Jessica M Halow Kristen Lee Lixia Jiang Xinqiong Yang Charles B Epstein J Seth Strattan Bradley E Bernstein Michael P Snyder Manolis Kellis William S Noble Anshul Bharat Kundaje Department of Genetics Stanford University Stanford CA USA. jmschreiber91@***. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge MA USA. Department of Genetics Stanford University Stanford CA USA. Department of Computational Medicine and Bioinformatics University of Michigan Ann Arbor MI USA. Department of Research and Development DeepSeq.AI San Francisco CA USA. RIKEN Center for Integrative Medical Sciences Yokohama Japan. Department of Empirical Inference Max Planck Institute for Intelligent Systems Stuttgart Germany. School of Life Sciences University of Dundee Dundee UK. Department of Electronics Information and Bioengineering Politecnico Di Milano Milan Italy. Department of Computational Biology University of Lausanne Lausanne Switzerland. Department of Computer Science and Engineering The Chinese University of Hong Kong Sha Tin Hong Kong. Sanford Burnham Prebys Medical Discovery Institute San Diego CA USA. Department of Electrical Engineering and Computer Sciences University of California Berkeley Berkeley CA USA. Department of Statistics University of California Berkeley Berkeley CA USA. Department of Biochemistry & Molecular Biology Center for Eukaryotic Gene Regulation Pennsylvania State University University Park PA USA. Department of Statistics Pennsylvania State University University Park PA USA. Department of Electrical and Computer Engineering Texas A&M University College Station TX USA. Altius Institute Seattle WA USA. Epigenomics Program The Broad Institute of MIT and Harvard Cambridge MA USA. Department of Genome Sciences University of Washington Seattle WA USA. Department of Computer Science Stanford University Stanford CA USA.

来源：评论

学校读者我要写书评

暂无评论

Correction: Metabolic modulation to improve MSC expansion and therapeutic potential for articular cartilage repair

引用

Stem cell research & therapy 2024年第1期15卷 403页

作者： Ching Ann Tee Daniel Ninio Roxby Rashidah Othman Vinitha Denslin Kiesar Sideeq Bhat Zheng Yang Jongyoon Han Lisa Tucker-Kellogg Laurie A Boyer Critical Analytics for Manufacturing Personalised-medicine (CAMP) Interdisciplinary Research Group Singapore-MIT Alliance for Research and Technology (SMART) Centre 1 Create Way Enterprise Wing #04-13/14 Singapore 138602 Republic of Singapore. NUS Tissue Engineering Program Life Sciences Institute National University of Singapore 27 Medical Drive DSO (Kent Ridge) Building Level 4 Singapore 117510 Republic of Singapore. Department of Bioresources University of Kashmir Hazratbal Srinagar 190006 India. Department of Orthopaedic Surgery National University of Singapore 1E Kent Ridge Road NUHS Tower Block 11 Singapore 119288 Republic of Singapore. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology 50 Vassar St Cambridge MA 02139 USA. Department of Biological Engineering Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge MA 02139 USA. Critical Analytics for Manufacturing Personalised-medicine (CAMP) Interdisciplinary Research Group Singapore-MIT Alliance for Research and Technology (SMART) Centre 1 Create Way Enterprise Wing #04-13/14 Singapore 138602 Republic of Singapore. tuckernus@***. Cancer and Stem Cell Biology and Centre for Computational Biology Duke-NUS Medical School 8 College Rd Singapore 169857 Republic of Singapore. tuckernus@***. Critical Analytics for Manufacturing Personalised-medicine (CAMP) Interdisciplinary Research Group Singapore-MIT Alliance for Research and Technology (SMART) Centre 1 Create Way Enterprise Wing #04-13/14 Singapore 138602 Republic of Singapore. lboyer@mit.edu. Department of Biological Engineering Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge MA 02139 USA. lboyer@mit.edu. Department of Biology Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge MA 02139 USA. lboyer@mit.edu.

来源：评论

学校读者我要写书评

暂无评论

Laser system design for table-top X-ray light source

引用

High Power Laser science and engineering 2018年第1期6卷 76-97页

作者： Anne-Laure Calendron Joachim Meier Michael Hemmer Luis E.Zapata Fabian Reichert Huseyin Cankaya Damian N.Schimpf Yi Hua Guoqing Chang Aram Kalaydzhyan Arya Fallahi Nicholas H.Matlis Franz X.Kartner Center for Free-Electron Laser Science Deutsches Elektronen Synchrotron Centre for Ultrafast Imaging University of Hamburg Department of Physics University of Hamburg Department of Electrical Engineering&Computer Science&Research Laboratory of Electronics MIT

We present possible conceptual designs of a laser system for driving table-top free-electron lasers based on terahertz acceleration. After discussing the achievable performances of laser amplifiers with Yb:YAG at cryogenic and room temperature and Yb:YLF at cryogenic temperature, we present amplification modules with available results and concepts of amplifier chains based on these laser media. Their performances are discussed in light of the specifications for the tasks within the table-top light source. Technical and engineering challenges, such as cooling, control, synchronization and diagnostics, are outlined. Three concepts for the laser layout feeding the accelerator are eventually derived and presented.

关键词： concept free-electron laser lasers optics

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：