检索结果-内蒙古大学图书馆

The Minimum Information about CLinical Artificial Intelligence Checklist for Generative Modeling Research (MI-CLAIM-GEN)

学校读者我要写书评

暂无评论

arXiv 2024年

作者： Miao, Brenda Y. Chen, Irene Y. Williams, Christopher Y.K. Davidson, Jaysón Garcia-Agundez, Augusto Sun, Shenghuan Zack, Travis Saria, Suchi Arnaout, Rima Quer, Giorgio Sadaei, Hossein J. Torkamani, Ali Beaulieu-Jones, Brett Yu, Bin Gianfrancesco, Milena Butte, Atul J. Norgeot, Beau Sushil, Madhumita Bakar Computational Health Sciences Institute University of California San Francisco San FranciscoCA United States UCSF-UC Berkeley Joint Program in Computational Precision Health University of California Berkeley University of California San Francisco BerkeleyCA United States Department of Electrical Engineering and Computer Sciences University of California Berkeley BerkeleyCA United States Berkeley AI Research University of California Berkeley BerkeleyCA United States Department of Medicine Division of Rheumatology University of California San Francisco San FranciscoCA United States Helen Diller Family Comprehensive Cancer Center University of California San Francisco San FranciscoCA United States Center for Data-driven Insights and Innovation University of California Office of the President OaklandCA United States Bayesian Health New YorkNY10282 United States Department of Computer Science Johns Hopkins University Whiting School of Engineering BaltimoreMD United States Department of Health Policy & Management Johns Hopkins University Bloomberg School of Public Health BaltimoreMD United States Department of Medicine Johns Hopkins Medicine BaltimoreMD21205 United States Departments of Medicine Radiology and Pediatrics University of California San Francisco San FranciscoCA United States Scripps Research Translational Institute La Jolla CA United States Department of Integrative Structural and Computational Biology Scripps Research La Jolla CA92037 United States Department of Medicine University of Chicago ChicagoIL United States Department of Statistics University of California Berkeley BerkeleyCA United States Center for Computational Biology University of California Berkeley BerkeleyCA United States Qualified Health PBC Palo AltoCA United States

Recent advances in generative models, including large language models (LLMs), vision language models (VLMs), and diffusion models, have accelerated the field of natural language and image processing in medicine and marked a significant paradigm shift in how biomedical models can be developed and deployed. While these models are highly adaptable to new tasks, scaling and evaluating their usage presents new challenges not addressed in previous frameworks. In particular, the ability of these models to produce useful outputs with little to no specialized training data ("zero-" or "few-shot" approaches), as well as the open-ended nature of their outputs, necessitate the development of new guidelines for robust reporting of clinical generative model research. In response to gaps in standards and best practices for the development of clinical AI tools identified by US Executive Order 141103 and several emerging national networks for clinical AI evaluation, we begin to formalize some of these guidelines by building on the original MI-CLAIM checklist. The new checklist, MI-CLAIM-GEN (Table 1), aims to address differences in training, evaluation, interpretability, and reproducibility of new generative models compared to non-generative ("predictive") AI models. This MI-CLAIM-GEN checklist also seeks to clarify cohort selection reporting with unstructured clinical data and adds additional items on alignment with ethical standards for clinical AI research. © 2024, CC BY.

关键词： Generative adversarial networks

Author Correction: 3D-printed liquid metal polymer composites as NIR-responsive 4D printing soft robot

学校读者我要写书评

暂无评论

Nature communications 2024年第1期15卷 943页

作者： Liwen Zhang Xumin Huang Tim Cole Hongda Lu Jiangyu Hang Weihua Li Shi-Yang Tang Cyrille Boyer Thomas P Davis Ruirui Qiao Australian Institute of Bioengineering & Nanotechnology The University of Queensland Brisbane QLD 4072 Australia. Department of Electronic Electrical and Systems Engineering University of Birmingham Birmingham UK. School of Mechanical Materials Mechatronic and Biomedical Engineering University of Wollongong Wollongong NSW 2522 Australia. School of Electronics and Computer Science University of Southampton Southampton SO17 1BJ UK. shiyang.tang@soton.ac.uk. Cluster for Advanced Macromolecular Design School of Chemical Engineering The University of New South Wales Sydney NSW 2052 Australia. Australian Institute of Bioengineering & Nanotechnology The University of Queensland Brisbane QLD 4072 Australia. t.davis@uq.edu.au. Australian Institute of Bioengineering & Nanotechnology The University of Queensland Brisbane QLD 4072 Australia. r.qiao@uq.edu.au.

Retraction notice to “Evaluation of solar and biomass perspectives using geographic information system - the case of Iraq Regions” [Renew. Energy 227 (2024) 120463]

学校读者我要写书评

暂无评论

Renewable Energy 2025年 250卷

作者： Qusay Hassan Ahmed K. Nassar Sameer Algburi Ahmed Fouly Emad Mahrous Awwad Marek Jaszczur Patrik Viktor Ayesha Amjad Hassan Falah Fakhruldeen Ali Khudhair Al-Jiboory Aws Zuhair Sameen Maha Barakat Department of Mechanical Engineering University of Diyala Diyala Iraq Policy Planning and Development Program Department of International Affairs College of Arts and Sciences Qatar University Doha Qatar College of Engineering Al-Kitab University Kirkuk 36015 Iraq Department of Mechanical Engineering College of Engineering King Saud University Riyadh Saudi Arabia Department of Electrical Engineering College of Engineering King Saud University Riyadh Saudi Arabia Faculty of Energy and Fuels AGH University of Science and Technology Krakow Poland Keleti Károly Faculty of Business and Management Óbuda University Budapest Hungary Faculty of Transport and Aviation Engineering Silesian University of Technology Katowice 40-019 Poland Computer Techniques Engineering Department Faculty of Information Technology Imam Ja'afar Al-Sadiq University Baghdad Iraq College of Medical Techniques Al-Farahidi University Baghdad Iraq Business Administration Department Al-Turath University College Baghdad Iraq

Bright high-purity quantum emitters in aluminium nitride integrated photonics

学校读者我要写书评

暂无评论

arXiv 2020年

作者： Lu, Tsung-Ju Lienhard, Benjamin Jeong, Kwang-Yong Moon, Hyowon Iranmanesh, Ava Grosso, Gabriele Englund, Dirk Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States Photonics Initiative Advanced Science Research Center and Physics Program Graduate Center City University of New York New YorkNY10031 United States Department of Physics Korea University Seoul02841 Korea Republic of

Solid-state quantum emitters (QEs) are fundamental in photonic-based quantum information processing. There is strong interest to develop high-quality QEs in III-nitride semiconductors because of their sophisticated manufacturing driven by large and growing applications in optoelectronics, high voltage power transistors, and microwave amplifiers. Here, we report the generation and direct integration of QEs in an aluminium nitride-based photonic integrated circuit platform. For individual waveguide-integrated QEs, we measure an off-chip count rate exceeding 6 × 104 counts per second (cps) (saturation rate > 8.6 × 104 cps). In an unpatterned thin-film sample, we measure antibunching with g(2)(0) ~ 0.05 and photon count rates exceeding 8 × 105 cps (saturation rate > 1 × 106 cps). Although spin and detailed optical linewidth measurements are left for future work, these results already show the potential for high-quality QEs monolithically integrated in a wide range of III-nitride device technologies that would enable new quantum device opportunities and industrial scalability. Copyright © 2020, The Authors. All rights reserved.

关键词： III-V semiconductors

Endotaxial Stabilization of 2D Charge Density Waves with Long-Range Order

学校读者我要写书评

暂无评论

Microscopy and Microanalysis 2024年第SUPPLEMENT_1期30卷

作者： Sung, Suk Hyun Agarwal, Nishkarsh Baggari, Ismail El Kezer, Patrick Goh, Yin Min Schnitzer, Noah Shen, Jeremy M Chiang, Tony Liu, Yu Lu, Wenjian Sun, Yuping Kourkoutis, Lena F Heron, John T Sun, Kai Hovden, Robert Department of Materials Science and Engineering University of Michigan Ann Arbor MI USA Rowland Institute at Harvard University Cambridge MA USA Department of Electrical and Computer Engineering University of Michigan Ann Arbor MI USA John A. Paulson School of Engineering and Applied Science Harvard University Cambridge MA USA Department of Materials Science and Engineering Cornell University Ithaca NY USA Kavli Institute at Cornell for Nanoscale Science Ithaca NY USA Key Laboratory of Materials Physics Institute of Solid State Physics Chinese Academy of Sciences Hefei PR China Collaborative Innovation Centre of Advanced Microstructures Nanjing University Nanjing PR China High Magnetic Field Laboratory Chinese Academy of Sciences Hefei PR China School of Applied and Engineering Physics Cornell University Ithaca NY USA Applied Physics Program University of Michigan Ann Arbor MI USA Department of Physics University of Michigan Ann Arbor MI USA

Packaging, containerization, and virtualization of computational omics methods: Advances, challenges, and opportunities

学校读者我要写书评

暂无评论

arXiv 2022年

作者： Alser, Mohammed Waymost, Sharon Ayyala, Ram Lawlor, Brendan Abdill, Richard J. Rajkumar, Neha LaPierre, Nathan Brito, Jaqueline Ribeiro-Dos-Santos, André M. Firtina, Can Almadhoun, Nour Sarwal, Varuni Eskin, Eleazar Hu, Qiyang Strong, Derek Kim, Byoung-Do Abedalthagafi, Malak S. Mutlu, Onur Mangul, Serghei Department of Information Technology and Electrical Engineering ETH Zürich Zürich8092 Switzerland Department of Computer Science UCLA Los AngelesCA90095 United States Department of Translational Biomedical Informatics University of Southern California Los AngelesCA90089 United States Department of Clinical Pharmacy University of Southern California Los AngelesCA90089 United States Department of Computer Science Munster Technological University CorkT12 P928 Ireland Department of Genetics Cell Biology and Development University of Minnesota MinneapolisMN55417 United States Department of Bioengineering UCLA Los AngelesCA90095 United States Institute for Systems Genetics NYU Grossman School of Medicine New YorkNY10016 United States Department of Computational Medicine University of California Los AngelesCA90095 United States Department of Human Genetics University of California Los AngelesCA90095 United States Office of Advanced Research Computing UCLA Los AngelesCA90095 United States Center for Advanced Research Computing University of Southern California Los AngelesCA90089 United States Genomics Research Department Saudi Human Genome Project King Fahad Medical City King Abdulaziz City for Science and Technology Riyadh Saudi Arabia King Salman Center for Disability Research Riyadh12512 Saudi Arabia Riyadh Saudi Arabia

Omics software tools have reshaped the landscape of modern biology and become an essential component of biomedical research. The increasing dependence of biomedical scientists on these powerful tools creates a need for easier installation and greater usability. Packaging, virtualization, and containerization are different approaches to satisfy this need by wrapping omics tools in additional software that makes the omics tools easier to install and use. Here, we systematically review practices across prominent packaging, virtualization, and containerization platforms. We outline the challenges, advantages, and limitations of each approach and some of the most widely used platforms from the perspectives of users, software developers, and system administrators. We also propose principles to make packaging, virtualization, and containerization of omics software more sustainable and robust to increase the reproducibility of biomedical and life science research. © 2022, CC BY.

关键词： Containers

Moiré hyperbolic metasurfaces

学校读者我要写书评

暂无评论

arXiv 2020年

作者： Hu, Guangwei Krasnok, Alex Mazor, Yarden Qiu, Cheng-Wei Alù, Andrea Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore Photonics Initiative Advanced Science Research Center City University of New York 85 St. Nicholas Terrace New YorkNY10031 United States Department of Electrical and Computer Engineering University of Texas at Austin AustinTX78712 United States Physics Program Graduate Center City University of New York New YorkNY10016 United States Department of Electrical Engineering City College of New York New YorkNY10031 United States

Recent advances in twistronics of low-dimensional materials, such as bilayer graphene and transition-metal dichalcogenides, have enabled a plethora of unusual phenomena associated with moiré physics. However, several of these effects require demanding manipulation of superlattices at the atomic scale, such as the careful control of rotation angle between two closely spaced atomic lattices. Here, we study moiré hyperbolic plasmons in pairs of hyperbolic metasurfaces (HMTSs), unveiling analogous phenomena at the mesoscopic scale. HMTSs are known to support confined surface waves collimated towards specific directions determined by the metasurface dispersion. By rotating two evanescently coupled HMTSs with respect to one another, we unveil rich dispersion engineering, topological transitions at magic angles, broadband field canalization, and plasmon spin-Hall phenomena. These findings open remarkable opportunities to advance metasurface optics, enriching it with moiré physics and twistronic concepts. Copyright © 2020, The Authors. All rights reserved.

关键词： Surface waves

Dimensional reduction of helium-4 inside argon-plated MCM-41 nanopores

学校读者我要写书评

暂无评论

Physical Review B 2020年第14期102卷 144505-144505页

作者： Nathan S. Nichols Timothy R. Prisk Garfield Warren Paul Sokol Adrian Del Maestro Department of Physics University of Vermont Burlington Vermont 05405 USA Materials Science Program University of Vermont Burlington Vermont 05404USA Center for Neutron Research National Institute of Standards and Technology Gaithersburg Maryland 20899-6100 USA Department of Physics Indiana University Bloomington Indiana 47408 USA Department of Physics and Astronomy University of Tennessee Knoxville Tennessee 37996 USA Min H. Kao Department of Electrical Engineering and Computer Science University of Tennessee Knoxville Tennessee 37996 USA

The angstrom-scale coherence length describing the superfluid wave function of He4 at low temperatures has prevented its preparation in a truly one-dimensional geometry. Mesoporous ordered silica-based structures, such as the molecular sieve MCM-41, offer a promising avenue towards physical confinement, but the minimal pore diameters that can be chemically synthesized have proven to be too large to reach the quasi-one-dimensional limit. We present an active nano-engineering approach to this problem by preplating MCM-41 with a single, well controlled layer of Ar gas before filling the pores with helium. The structure inside the pore is investigated via experimental adsorption isotherms and neutron scattering measurements that are in agreement with large scale quantum Monte Carlo simulations. The results demonstrate angstrom and Kelvin scale tunability of the effective confinement potential experienced by He4 atoms inside the MCM-41, with the Ar layer reducing the diameter of the confining media into a regime where a number of solid layers surround a one-dimensional quantum liquid.

关键词： 1-dimensional systems Helium-4 superfluids Nanostructures Neutron scattering Path-integral Monte Carlo

Author Correction: AIVariant: a deep learning-based somatic variant detector for highly contaminated tumor samples

学校读者我要写书评

暂无评论

Experimental & molecular medicine 2025年第1期57卷 284页

作者： Hyeonseong Jeon Junhak Ahn Byunggook Na Soona Hong Lee Sael Sun Kim Sungroh Yoon Daehyun Baek Interdisciplinary Program in Bioinformatics Seoul National University Seoul Republic of Korea. Genome4me Inc. Seoul Republic of Korea. School of Biological Sciences Seoul National University Seoul Republic of Korea. Department of Electrical and Computer Engineering Seoul National University Seoul Republic of Korea. AIGENDRUG Co. Ltd. Seoul Republic of Korea. Department of Software and Computer Engineering Ajou University Suwon Republic of Korea. Department of Computer Science and Engineering Seoul National University Seoul Republic of Korea. Interdisciplinary Program in Artificial Intelligence Seoul National University Seoul Republic of Korea. Interdisciplinary Program in Bioinformatics Seoul National University Seoul Republic of Korea. baek@snu.ac.kr. Genome4me Inc. Seoul Republic of Korea. baek@snu.ac.kr. School of Biological Sciences Seoul National University Seoul Republic of Korea. baek@snu.ac.kr. Interdisciplinary Program in Artificial Intelligence Seoul National University Seoul Republic of Korea. baek@snu.ac.kr.