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3rd International Symposium on Instrumentation Systems, Circuits and Transducers: Chip in the Pampa, INSCIT 2018

作者： De Oliveira, Michael Lopes Torres, Frank Sill Da Silva Fernandes, Keyliane Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil Cyber-Physical Systems DFKI GmbH Bremen Germany Universidade Federal de Minas Gerais Belo Horizonte Brazil

ISBN: (纸本)9781538672983

A wide range of applications in the field of the Internet-of-Things (IoT) possess only strongly limited energy resources. This rises the need for Ultra-Low Power (ULP) designs that enable processing with lowest energy consumption. This, however, comes at considerable performance costs. Consequently, there is a need for flexible design flows that enable the designer to select the best tradeoff between energy consumption and performance for the destined application. Towards this end, we present in this paper a complete flow for the design of a ULP standard cell library based on the subthreshold methodology. The flow considers both the selection of the appropriate technology parameters, like supply voltage and base sizing, as well as the actual design and characterization of the standard cells. Simulation results for an ARM-based processor and ITC'99 and EPFL benchmark circuits realized in a commercial 130 nm technology indicate a possible reduction of power consumption of several factors, while performance degrades between two and three orders of magnitude. © 2018 IEEE.

关键词： Energy utilization

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OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials

arXiv

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arXiv 2023年

作者： Eastman, Peter Galvelis, Raimondas Peláez, Raúl P. Abreu, Charlles R.A. Farr, Stephen E. Gallicchio, Emilio Gorenko, Anton Henry, Michael M. Hu, Frank Huang, Jing Krämer, Andreas Michel, Julien Mitchell, Joshua A. Pande, Vijay S. Rodrigues, João P.G.L.M. Rodriguez-Guerra, Jaime Simmonett, Andrew C. Singh, Sukrit Swails, Jason Turner, Philip Wang, Yuanqing Zhang, Ivy Chodera, John D. De Fabritiis, Gianni Markland, Thomas E. Department of Chemistry Stanford University StanfordCA94305 United States Acellera Labs C Dr Trueta 183 Barcelona08005 Spain C Dr. Aiguader 88 Barcelona08003 Spain Chemical Engineering Department School of Chemistry Federal University of Rio de Janeiro Rio de Janeiro68542 Brazil Redesign Science Inc. 180 Varick St. New YorkNY10014 United States EaStCHEM School of Chemistry University of Edinburgh EH9 3FJ United Kingdom Department of Chemistry and Biochemistry Brooklyn College The City University of New York NY United States Ph.D. Program in Chemistry Ph.D. Program in Biochemistry The Graduate Center of the City University of New York New YorkNY United States Stream HPC Koningin Wilhelminaplein 1 - 40601 Amsterdam1062 HG Netherlands Computational and Systems Biology Program Sloan Kettering Institute Memorial Sloan Kettering Cancer Center New YorkNY10065 United States Key Laboratory of Structural Biology of Zhejiang Province School of Life Sciences Westlake University 18 Shilongshan Road Zhejiang Hangzhou310024 China Department of Mathematics and Computer Science Freie Universität Berlin Arnimallee 12 Berlin14195 Germany The Open Force Field Initiative Open Molecular Software Foundation DavisCA95616 United States Andreessen Horowitz 2865 Sand Hill Rd Menlo ParkCA94025 United States Department of Structural Biology Stanford University StanfordCA94305 United States Charité Universitätsmedizin Berlin In silico Toxicology and Structural Bioinformatics Virchowweg 6 Berlin10117 Germany Laboratory of Computational Biology National Heart Lung and Blood Institute National Institutes of Health BethesdaMD20892 United States Entos Inc. 9310 Athena Circle La Jolla CA92037 United States College of Engineering Virginia Polytechnic Institute State University BlacksburgVA24061 United States Simons Center for Computational Physical Chemistry Center for Data Science New York University 24 Waverly Place New YorkNY10004 United States T

Machine learning plays an important and growing role in molecular simulation. The newest version of the OpenMM molecular dynamics toolkit introduces new features to support the use of machine learning potentials. Arbitrary PyTorch models can be added to a simulation and used to compute forces and energy. A higher-level interface allows users to easily model their molecules of interest with general purpose, pretrained potential functions. A collection of optimized CUDA kernels and custom PyTorch operations greatly improves the speed of simulations. We demonstrate these features on simulations of cyclin-dependent kinase 8 (CDK8) and the green fluorescent protein (GFP) chromophore in water. Taken together, these features make it practical to use machine learning to improve the accuracy of simulations at only a modest increase in cost. Copyright © 2023, The Authors. All rights reserved.

关键词： Machine learning

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Evaluation of a microinjection system for severe dry eye treatment

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Journal of Physics: Conference Series 2021年第1期1723卷

作者： Narcisse Meni-Babakidi Gonzalo Viramontes-Gamboa Laura Alicia Ibarra-Bracamontes Israel Luna-Reyes Graduate Program in Physical Engineering Universidad Michoacana de San Nicolás de Hidalgo 403 Santiago Tapia Morelia 58000 Mexico. Faculty of Mechanical Engineering Universidad Michoacana de San Nicolás de Hidalgo 403 Santiago Tapia Morelia 58000 Mexico. Faculty of Electrical Engineering Universidad Michoacana de San Nicolás de Hidalgo 403 Santiago Tapia Morelia 58000 Mexico.

This article presents the experimental results of a series of analysis and validation tests carried out on a microinjection system designed to deliver artifitial tears to patients suffering of severe dry eye. The microinjector has the following characteristics: high efficiency and precision, user friendly, portable (8.5 × 4.5 × 2.5 cm) and low manufacturing and assembling costs. The microinjector overcomes many of the shortcomings inherent to the manual method drip, it has a syringe reservoir to keep and deliver the artifitial tears. An electronically driven plunger pushes the solution into a capillary that transfer it to the patient's eyes. The programmed time to deliver the tears fluid is set by the ptient through a 'C' program in an Android based device. The real delivering time differs slightly from the programmed one due to frictional effects between the plunger and the syringe walls. The validation tests had the objective to quantify the time difference between the programmed and real delivering times, using as artifitial tears the Lagricel Ofteno brand, whis is the most used in Mexico. Two differentiable tests were done, in one test the plunger was lubricated with silicon oil (Ardes brand) for its compararation with the case where no lubricant is used. All test were done with an operating flow rate range of 0.13 - 60 µL/min). The results show that the microinjection system has the ability to offer high performance and precision with ± 0.191 and ± 0.137 % average error respectively for non-lubricated vs. lubricated tests. The microinjection system can also be used for another compatible biomedical applications like chemotherapy, insulin administration, liquid drug delivery, among others adapting certain injection characteristics (flow rates and time).

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The definition of sng: The expert consensus by the sng taxonomy Task force of the Taiwan sng Society

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Journal of the Formosan Medical Association 2025年

作者： Han, Der-Sheng Lin, Jiann-Her Hung, Chih-Hsien Huang, Shuping Chen, Jen-Yin Chiang, Yung-Hsiao Chiu, Hsiao-Yean Chou, Li-Wei Hsieh, Cheng-Ta Huang, Ming-Chyi Huang, Wei-Lieh Kang, Jiunn-Horng Lee, Hsun-Hua Lin, Chia-Shu Lin, Chien-Min Lin, Chih-Peng Lin, Ying-Tung Liu, Yen-Chin Ro, Long-Sun Shen, Chiung-Chyi Su, Lily I-Wen Su, Yu-Jih Sun, Jui-Ming Sung, Jia-Ying Tsai, Rong-Kung Wang, Man-Ling Wen, Yeong-Ray Weng, Hao-Jui Wu, Ming-Shun Yu, Yu-Wen Hsieh, Sung-Tsang Wang, Shuu-Jiun Sun, Wei-Zen Chen, Chih-Cheng Department of Physical Medicine and Rehabilitation National Taiwan University Hospital Beihu Branch Taipei Taiwan Department of Physical Medicine and Rehabilitation National Taiwan University College of Medicine Taipei Taiwan Division of Neurosurgery Department of Surgery Taipei Medical University Hospital Taipei Taiwan Department of Surgery School of Medicine College of Medicine Taipei Medical University Taipei Taiwan Taipei Neuroscience Institute Taipei Medical University Taipei Taiwan TMU Research Center of Neuroscience Taipei Medical University Taipei Taiwan Department of Neurology Kaohsiung Medical University Hospital Kaohsiung Taiwan School of Medicine College of Medicine Kaohsiung Medical University Kaohsiung Taiwan Department of Foreign Languages and Literature National Sun Yat-sen University Kaohsiung Taiwan Department of Anesthesiology Chi Mei Medical Center Tainan Taiwan School of Medicine College of Medicine National Sun Yat-sen University Kaohsiung Taiwan School of Nursing College of Nursing Taipei Medical University Taipei Taiwan Department of Nursing Taipei Medical University Hospital Taipei Taiwan Department of Physical Medicine and Rehabilitation China Medical University Hospital Taichung Taiwan Department of Physical Medicine and Rehabilitation Asia University Hospital Asia University Taichung Taiwan Department of Physical Therapy and Graduate Institute of Rehabilitation Science China Medical University Taichung Taiwan Division of Neurosurgery Department of Surgery Cathay General Hospital Taipei Taiwan School of Medicine National Tsing-Hua University Hsinchu Taiwan Department of Medicine School of Medicine Fu Jen Catholic University New Taipei City Taiwan Department of Psychiatry Taipei City Psychiatric Center Taipei City Hospital Taipei Taiwan Department of Psychiatry National Taiwan University Hospital Yunlin Branch Yunlin Taiwan Department of Physical Medicine and Rehabilitation Taipei Medical University Hospital Taip

“Sng” is a Taiwanese term describing a distinct state of soreness. Accumulating evidence indicates that sng is a specific somatosensory modality, independent of pain, with distinct receptors and transduction pathways. In recent years, variations in its presentation across different medical specialties have highlighted the need for a standardized definition of sng-related terminology. To address this, the Taiwan Sng Society established a multidisciplinary Sng Taxonomy Task Force, comprising 32 experts in both clinical and basic sciences related to sng. Here we summarize the discussions and expert consensus from the Task Force. A total of 16 sng-related terminology was defined. The first edition of sng terminology aims to establish a clear, standardized framework for the clinical practice and research of sng. © 2025 Formosan Medical Association

关键词： Definition sng Sngception Taxonomy Terminology

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Impact of substrate on tip-enhanced Raman spectroscopy: A comparison between field-distribution simulations and graphene measurements

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physical Review Research 2020年第2期2卷 023408-023408页

作者： Hudson Miranda Cassiano Rabelo Luiz Gustavo Cançado Thiago L. Vasconcelos Bruno S. Oliveira Florian Schulz Holger Lange Stephanie Reich Patryk Kusch Ado Jorio Graduate Program in Electrical Engineering - UFMG - CEP: 31270-901 Belo Horizonte MG Brazil Departamento de Física - UFMG - CEP: 31270-901 Belo Horizonte MG Brazil Divisão de Metrologia de Materiais - Inmetro - CEP: 25250-020 Duque de Caxias RJ Brazil Institute for Physical Chemistry University of Hamburg Martin-Luther-King Platz 6 20146 Hamburg Germany The Hamburg Centre for Ultrafast Imaging 22761 Hamburg Germany Department of Physics Freie Universität Berlin Arnimallee 14 D-14195 Berlin Germany

Tip-enhanced Raman spectroscopy (TERS) has reached nanometer spatial resolution for measurements performed at ambient conditions and subnanometer resolution at ultrahigh vacuum. Super-resolution (beyond the tip apex diameter) TERS has been obtained mostly in the gap mode configuration, where a conductive substrate localizes the electric fields. Here we present experimental and theoretical TERS to explore the field distribution responsible for spectral enhancement. We use gold tips of 40±10nm apex diameter to measure TERS on graphene, a spatially delocalized two-dimensional sample, sitting on different substrates: (i) glass, (ii) a thin layer of gold and (iii) a surface covered with 12nm diameter gold spheres, for which 6nm resolution is achieved at ambient conditions. The super-resolution is due to the field configuration resulting from the coupled tip-sample-substrate system, exhibiting a nontrivial spatial surface distribution. The field distribution and the symmetry selection rules are different for nongap versus gap mode configurations. This influences the overall enhancement which depends on the Raman mode symmetry and substrate structure.

关键词： Nanophotonics Near-field optics Graphene Finite-element method Group theory Raman spectroscopy

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Cross-calibration and combined analysis of the CTA-LST prototype and the MAGIC telescopes 37

Cross-calibration and combined analysis of the CTA-LST proto...

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37th International Cosmic Ray Conference, ICRC 2021

作者： Ohtani, Y. Berti, A. Depaoli, D. Di Pierro, F. Green, D. Heckmann, L. Hütten, M. Inada, T. López-Coto, R. Medina, E. Moralejo, A. Morcuende, D. Pirola, G. Strzys, M. Suda, Y. Vovk, I. Abe, H. Aguasca, A. Agudo, I. Antonelli, L.A. Aramo, C. Armstrong, T. Artero, M. Asano, K. Ashkar, H. Aubert, P. Baktash, A. Bamba, A. Baquero Larriva, A. Baroncelli, L. Barres de Almeida, U. Barrio, J.A. Batkovic, I. Becerra González, J. Bernardos, M.I. Biederbeck, N. Bigongiari, C. Blanch, O. Bonnoli, G. Bordas, P. Bose, D. Bulgarelli, A. Burelli, I. Buscemi, M. Cardillo, M. Caroff, S. Carosi, A. Cassol, F. Cerruti, M. Chai, Y. Cheng, K. Chikawa, M. Chytka, L. Contreras, J.L. Cortina, J. Costantini, H. Dalchenko, M. De Angelis, A. de Bony de Lavergne, M. Deleglise, G. Delgado, C. Delgado Mengual, J. della Volpe, D. Di Venere, L. Díaz, C. Dominik, R.M. Dominis Prester, D. Donini, A. Dorner, D. Doro, M. Elsässer, D. Emery, G. Escudero, J. Fiasson, A. Foffano, L. Fonseca, M.V. Freixas Coromina, L. Fukami, S. Fukazawa, Y. Garcia, E. Garcia López, R. Giglietto, N. Giordano, F. Gliwny, P. Godinovic, N. Grespan, P. Gunji, S. Hackfeld, J. Hadasch, D. Hahn, A. Hassan, T. Hayashi, K. Heller, M. Herrera Llorente, J. Hirotani, K. Hoffmann, D. Horns, D. Houles, J. Hrabovsky, M. Hrupec, D. Hui, D. Inome, Y. Iori, M. Ishio, K. Iwamura, Y. Jacquemont, M. Jimenez Martinez, I. Jouvin, L. Jurysek, J. Kagaya, M. Karas, V. Katagiri, H. Kataoka, J. Kerszberg, D. Kobayashi, Y. Kong, A. Kubo, H. Kushida, J. Lamanna, G. Lamastra, A. Le Flour, T. Longo, F. López-Moya, M. López-Oramas, A. Luque-Escamilla, P.L. Majumdar, P. Makariev, M. Mandat, D. Manganaro, M. Mannheim, K. Mariotti, M. Marquez, P. Marsella, G. Martí, J. Martinez, O. Martínez, G. Martínez, M. Marusevec, P. Mas, A. Maurin, G. Mazin, D. Mestre Guillen, E. Micanovic, S. Miceli, D. Miener, T. Miranda, J.M. Miranda, L.D.M. Mirzoyan, R. Mizuno, T. Molina, E. Montaruli, T. Monteiro, I. Moretti, E. ICRR The University of Tokyo 1-5-1 Kashiwa-no-ha Chiba Kashiwa City Japan Max Planck Institute for Physics Föhringer Ring 6 München80805 Germany INFN Sezione di Torino Via Pietro Giuria 1 Torino10125 Italy INFN Sezione di Padova Via Francesco Marzolo 8 Padova35131 Italy IFAE Edifici Cn Campus Universitat Autònoma de Barcelona Barcelona08193 Spain Universidad Complutense de Madrid Av. Séneca 2 Madrid28040 Spain Physics Program Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima739-8526 Japan Departament de Física Quàntica i Astrofísica Institut de Ciències del Cosmos Universitat de Barcelona IEEC-UB Spain Instituto de Astrofísica de Andalucía-CSIC Spain INFN Sezione di Napoli Italy Aix Marseille Univ CNRS IN2P3 CPPM France IRFU CEA Université Paris-Saclay France LAPP Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS-IN2P3 Annecy France Universität Hamburg Institut für Experimentalphysik Germany Graduate School of Science University of Tokyo Japan INAF - Osservatorio di Astrofisica e Scienza dello Spazio di Bologna Italy INFN Sezione di Padova Università degli Studi di Padova Italy Instituto de Astrofísica de Canarias Departamento de Astrofísica Universidad de La Laguna Tenerife La LagunaE-38200 Spain Department of Physics TU Dortmund University Germany INFN Sezione di Trieste Università degli Studi di Udine Italy INFN Sezione di Catania Italy University of Geneva Département de Physique Nucléaire et Corpusculaire Italy Palacky University Olomouc Faculty of Science Czech Republic Port d'Informació Científica Spain Dipartimento di Fisica Universitá degli Studi di Torino Italy University of Rijeka Department of Physics Croatia Institute for Theoretical Physics and Astrophysics Universität Würzburg Germany Physics Program Graduate School of Advanced Science and Engineering Hiroshima University Japan INFN Sezione di Bari Politecnico di Bari Italy Faculty of Physics and Applied Informatics University of

The Cherenkov Telescope Array (CTA) will be the next generation gamma-ray observatory, which will consist of three kinds of telescopes of different sizes. Among those, the Large Size Telescope (LST) will be the most sensitive in the low energy range starting from 20 GeV. The prototype LST (LST-1) proposed for CTA was inaugurated in October 2018 in the northern hemisphere site, La Palma (Spain), and is currently in its commissioning phase. MAGIC is a system of two gamma-ray Cherenkov telescopes of the current generation, located approximately 100 m away from LST-1, that have been operating in stereoscopic mode since 2009. Since LST-1 and MAGIC can observe the same air shower events, we can compare the brightness of showers, estimated energies of gamma rays, and other parameters event by event, which can be used to cross-calibrate the telescopes. Ultimately, by performing combined analyses of the events triggering the three telescopes, we can reconstruct the shower geometry more accurately, leading to better energy and angular resolutions, and a better discrimination of the background showers initiated by cosmic rays. For that purpose, as part of the commissioning of LST-1, we performed joint observations of established gamma-ray sources with LST-1 and MAGIC. Also, we have developed Monte Carlo simulations for such joint observations and an analysis pipeline which finds event coincidence in the offline analysis based on their timestamps. In this work, we present the first detection of an astronomical source, the Crab Nebula, with combined observation of LST-1 and MAGIC. Moreover, we show results of the inter-telescope cross-calibration obtained using Crab Nebula data taken during joint observations with LST-1 and MAGIC. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0)

关键词： Telescopes

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Using physical features of protein core packing to distinguish real proteins from decoys

arXiv

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arXiv 2020年

作者： Grigas, Alex T. Mei, Zhe Treado, John D. Levine, Zachary A. Regan, Lynne O'Hern, Corey S. Graduate Program in Computational Biology and Bioinformatics Yale University New HavenCT06520 United States Integrated Graduate Program in Physical and Engineering Biology Yale University New HavenCT06520 United States Department of Chemistry Yale University New HavenCT06520 United States Department of Mechanical Engineering and Materials Science Yale University New HavenCT06520 United States Department of Pathology Yale University New HavenCT06520 United States Department of Molecular Biophysics and Biochemistry Yale University New HavenCT06520 United States Institute of Quantitative Biology Biochemistry and Biotechnology Centre for Synthetic and Systems Biology School of Biological Sciences University of Edinburgh Department of Physics Yale University New HavenCT06520 United States Department of Applied Physics Yale University New HavenCT06520 United States

The ability to consistently distinguish real protein structures from computationally generated model decoys is not yet a solved problem. One route to distinguish real protein structures from decoys is to delineate the important physical features that specify a real protein. For example, it has long been appreciated that the hydrophobic cores of proteins contribute signifficantly to their stability. As a dataset of decoys to compare with real protein structures, we studied submissions to the bi-annual CASP competition (speciffically CASP11, 12, and 13), in which researchers attempt to predict the structure of a protein only knowing its amino acid sequence. Our analysis reveals that many of the submissions possess cores that do not recapitulate the features that define real proteins. In particular, the model structures appear more densely packed (because of energetically unfavorable atomic overlaps), contain too few residues in the core, and have improper distributions of hydrophobic residues throughout the structure. Based on these observations, we developed a deep learning method, which incorporates key physical features of protein cores, to predict how well a computational model recapitulates the real protein structure without knowledge of the structure of the target sequence. By identifying the important features of protein structure, our method is able to rank decoys from the CASP competitions equally well, if not better than, state-of-the-art methods that incorporate many additional features. Copyright © 2020, The Authors. All rights reserved.

关键词： Proteins

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Four-dimensional computed tomography-derived distal radioulnar joint osteokinematics during pronosupination with unilateral triangular fibrocartilage complex injuries

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Journal of biomechanics 2025年 188卷 112703页

作者： Taylor P Trentadue Cesar Lopez Andrew Thoreson Robert A Foley Nikkole M Weber David R Holmes Kai-Nan An Shuai Leng Kristin D Zhao Sanjeev Kakar Assistive and Restorative Technology Laboratory Rehabilitation Medicine Research Center Department of Physical Medicine and Rehabilitation Mayo Clinic Rochester MN USA Mayo Clinic Medical Scientist Training Program Mayo Clinic Rochester MN USA Mayo Clinic Graduate Program in Biomedical Engineering and Physiology Mayo Clinic Rochester MN USA. Electronic address: trentadue.taylor@mayo.edu. Assistive and Restorative Technology Laboratory Rehabilitation Medicine Research Center Department of Physical Medicine and Rehabilitation Mayo Clinic Rochester MN USA. Electronic address: lopez.cesar@mayo.edu. Assistive and Restorative Technology Laboratory Rehabilitation Medicine Research Center Department of Physical Medicine and Rehabilitation Mayo Clinic Rochester MN USA. Electronic address: thoreson.andrew@mayo.edu. Assistive and Restorative Technology Laboratory Rehabilitation Medicine Research Center Department of Physical Medicine and Rehabilitation Mayo Clinic Rochester MN USA. Electronic address: robert.a.foley@und.edu. Computed Tomography Clinical Innovation Center Mayo Clinic Rochester MN USA Department of Radiology Mayo Clinic Rochester MN USA. Electronic address: weber.nikkole@mayo.edu. Department of Physiology and Biomedical Engineering Mayo Clinic Rochester MN USA Biomedical Imaging Resource Core Facility Mayo Clinic Rochester MN USA. Electronic address: holmes.david3@mayo.edu. Medical Device Innovation Center National Cheng Kung University Tainan Taiwan. Electronic address: an.kainan@mayo.edu. Department of Radiology Mayo Clinic Rochester MN USA Department of Physiology and Biomedical Engineering Mayo Clinic Rochester MN USA. Electronic address: leng.shuai@mayo.edu. Department of Physiology and Biomedical Engineering Mayo Clinic Rochester MN USA. Electronic address: zhao.kristin@mayo.edu. Division of Hand and Upper Extremity Surgery Department of Orthopedic Surgery Mayo Clinic Rochester MN USA. Electronic address: kakar.sanjeev@mayo.edu.

The distal radioulnar joint (DRUJ) is a load-bearing joint that permits pronosupination of the forearm. Pronosupination may provoke instability following injuries to the soft tissue stabilizers of the joint, particularly when loaded against resistance. The objective of this study was to assess osteokinematics between the radius and ulna during pronosupination in 12 participants with suspected unilateral DRUJ injury enrolled in a prospective study using four-dimensional computed tomography (4DCT) at baseline and six months after arthroscopic surgery. We hypothesized that inter-landmark distances between the ulnar styloid and three landmarks on the distal radius-the central reference point, dorsal corner, and volar corner-would be related to relative pronosupination position, wrist injury status (injured versus uninjured), application of load (unresisted versus resisted), and timepoint (preoperative versus postoperative). Generalized linear mixed effects models were created to assess the change in inter-landmark distances with different levels of the predictor variables. Inter-landmark distances at all three radius landmarks were significantly associated with pronosupination angle and application of resistance. The effects of injury and surgery were less consistent and, if present, significant at only the volar corner landmark. The random effect for participant was statistically significant in all models. 4DCT-derived osteokinematics reflect position in the pronosupination arc and the application of resistance. However, the effect of injury or intervention was not statistically significant in the majority of single-landmark models. This suggests that 4DCT detects changes in biomechanical phenomena, although more sophisticated biomarkers may be justified for injury classification.

关键词： Distal radioulnar joint Dynamic computed tomography Four-dimensional computed tomography Photon-counting detector computed tomography Wrist biomechanics

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Bridging particle deformability and collective response in soft solids

arXiv

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arXiv 2020年

作者： Treado, John D. Wang, Dong Boromand, Arman Murrell, Michael P. Shattuck, Mark D. O’Hern, Corey S. Department of Mechanical Engineering & Materials Science Yale University New HavenCT06520 United States Integrated Graduate Program in Physical and Engineering Biology Yale University New HavenCT06520 United States Department of Biomedical Engineering Yale University New HavenCT06520 United States Department of Physics Yale University New HavenCT06520 United States Systems Biology Institute Yale University West HavenCT06516 United States Benjamin Levich Institute and Physics Department The City College of New York New YorkNY10031 United States Department of Applied Physics Yale University New HavenCT06520 United States

Soft, amorphous solids such as tissues, foams, and emulsions are composed of deformable particles. However, the effect of single-particle deformability on the collective behavior of soft solids is still poorly understood. We perform numerical simulations of two-dimensional jammed packings of explicitly deformable particles to study the mechanical response of model soft solids. We find that jammed packings of deformable particles with excess shape degrees of freedom possess low-frequency quartic vibrational modes that stabilize the packings even though they possess fewer interparticle contacts than the nominal isostatic value. Adding intra-particle constraints can rigidify the particles, but these particles undergo a buckling transition and gain an effective shape degree of freedom when their preferred perimeter is above a threshold value. We find that the mechanical response of jammed packings of deformable particles with shape degrees of freedom differs significantly from that of jammed packings of rigid-shape particles, which emphasizes the importance of particle deformability in modelling soft solids. © 2020, CC BY.

关键词： Degrees of freedom (mechanics)

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Correction: The structural, vibrational, and mechanical properties of jammed packings of deformable particles in three dimensions

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Soft matter 2022年第19期18卷 3815页

作者： Dong Wang John D Treado Arman Boromand Blake Norwick Michael P Murrell Mark D Shattuck Corey S O'Hern Department of Mechanical Engineering & Materials Science Yale University New Haven Connecticut 06520 USA. corey.ohern@yale.edu. Integrated Graduate Program in Physical and Engineering Biology Yale University New Haven Connecticut 06520 USA. Department of Physics Yale University New Haven Connecticut 06520 USA. Department of Biomedical Engineering Yale University New Haven Connecticut 06520 USA. Systems Biology Institute Yale University West Haven Connecticut 06516 USA. Benjamin Levich Institute and Physics Department The City College of New York New York New York 10031 USA. Department of Applied Physics Yale University New Haven Connecticut 06520 USA.

Correction for 'The structural, vibrational, and mechanical properties of jammed packings of deformable particles in three dimensions' by Dong Wang , , 2021, , 9901-9915, DOI: 10.1039/D1SM01228B.

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