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arXiv 2022年

作者： Li, Mogeng Chong, Kai Leong Ng, Chong Shen Bahl, Prateek de Silva, Charitha M. Verzicco, Roberto Doolan, Con MacIntyre, C. Raina Lohse, Detlef Physics of Fluids Group Max Planck Center for Complex Fluid Dynamics J. M. Burgers Center for Fluid Dynamics and MESA+ Research Institute Department of Science and Technology University of Twente Enschede7500AE Netherlands Max Planck Institute for Dynamics and Self-Organisation Göttingen37077 Germany Shanghai Key Laboratory of Mechanics in Energy Engineering Shanghai Institute of Applied Mathematics and Mechanics School of Mechanics and Engineering Science Shanghai University Shanghai200072 China School of Mechanical and Manufacturing Engineering UNSW Sydney KensingtonNSW2052 Australia Dipartimento di Ingegneria Industriale University of Rome 'Tor Vergata' Roma00133 Italy Gran Sasso Science Institute Viale F. Crispi L'Aquila7 67100 Italy Biosecurity Program The Kirby Institute UNSW Sydney KensingtonNSW2052 Australia College of Public Service & Community Solutions College of Health Solutions Arizona State University PhoenixAZ United States

Human respiratory events, such as coughing and sneezing, play an important role in the host-to-host airborne transmission of diseases. Thus, there has been a substantial effort in understanding these processes: various analytical or numerical models have been developed to describe them, but their validity has not been fully assessed due to the difficulty of a direct comparison with real human exhalations. In this study, we report a unique comparison between datasets that have both detailed measurements of a real human cough using spirometer and particle tracking velocimetry, and direct numerical simulation at similar conditions. By examining the experimental data, we find that the injection velocity at the mouth is not uni-directional. Instead, the droplets are injected into various directions, with their trajectories forming a cone shape in space. Furthermore, we find that the period of droplet emissions is much shorter than that of the cough: experimental results indicate that the droplets with an initial diameter 10µm are emitted within the first 0.05 s, whereas the cough duration is closer to 1 s. These two features (the spread in the direction of injection velocity and the short duration of droplet emission) are incorporated into our direct numerical simulation, leading to an improved agreement with the experimental measurements. Thus, to have accurate representations of human expulsions in respiratory models, it is imperative to include parametrisation of these two features. © 2022, CC BY.

关键词： COVID-19

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Correction to: Air change rate effects on the airborne diseases spreading in Underground Metro wagons

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Environmental science and pollution research international 2021年第24期28卷 31908页

作者： Mostafa El-Salamony Ahmed Moharam Amr Guaily Mohammed A Boraey Aerospace Department College of Engineering Peking University Beijing 100871 China. elsalamony.mostafa@***. Smart Engineering Systems Research Center (SESC) Nile University Sheikh Zayed City 12588 Egypt. Department of Engineering Mathematics and Physics Faculty of Engineering Cairo University Giza 12613 Egypt. Mechanical Engineering Program School of Engineering and Applied Sciences Nile University Sheikh Zayed City 12588 Egypt. Mechanical Power Engineering Department Zagazig University Zagazig 44519 Egypt.

A Correction to this paper has been published: https://***/10.1007/s11356-021-13405-8

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Multiple scales analysis of slow-fast quasilinear systems

arXiv

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arXiv 2019年

作者： Michel, G. Chini, G.P. Laboratoire de Physique Statistique École Normale Supérieure CNRS Université P. et M. Curie Université Paris Diderot Paris75005 France Department of Mechanical Engineering and Program in Integrated Applied Mathematics University of New Hampshire DurhamNH03824 United States

This article illustrates the application of multiple scales analysis to two archetypal quasilinear systems;i.e. to systems involving fast dynamical modes, called fluctuations, that are not directly influenced by fluctuation-fluctuation nonlinearities but nevertheless are strongly coupled to a slow variable whose evolution may be fully nonlinear. In the first case, fast waves drive a slow, spatially-inhomogeneous evolution of their celerity field. Multiple scales analysis confirms that, although the energy E, the angular frequency ω, and the modal structure of the waves evolve, the wave action E/ω is conserved in the absence of forcing and dissipation. In the second system, the fast modes undergo an instability that is saturated through a feedback on the slow variable. A new multiscale analysis is developed to treat this case. The key technical point, confirmed by the analysis, is that the fluctuation energy and mode structure evolve slowly to ensure that the slow field remains in a state of near marginal stability. These two model systems appear to be generic, being representative of many if not all quasilinear systems. In each case, numerical simulations of both the full and reduced dynamical systems are performed to highlight the accuracy and efficiency of the multiple scales approach. Python codes are provided as supplementary material. Copyright © 2019, The Authors. All rights reserved.

关键词： Dynamical systems

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Revealing the Origin of Transition-Metal Migration in Layered Sodium-Ion Battery Cathodes: Random Na Extraction and Na-Free Layer Formation

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Angewandte Chemie 2023年第12期135卷

作者： Dr. Shiyong Chu Prof. Duho Kim Gwanghyeon Choi Chunchen Zhang Haoyu Li Prof. Wei Kong Pang Yameng Fan Anita M. D'Angelo Prof. Shaohua Guo Prof. Haoshen Zhou College of Engineering and Applied Sciences Jiangsu Key Laboratory of Artificial Functional Materials National Laboratory of Solid State Microstructures Collaborative Innovation Center of Advanced Microstructures Frontiers Science Center for Critical Earth Material Cycling Nanjing University Nanjing 210023 China Shenzhen Research Institute of Nanjing University Shenzhen 518000 China Department of Mechanical Engineering (Integrated Engineering Program) Kyung Hee University 1732 Deogyeong-daero Giheung-gu Yongin-si Gyeonggi-do 17104 (Republic of Korea Institute for Superconducting & Electronic Materials University of Wollongong Wollongong NSW-2522 Australia Australian Synchrotron Australian Nuclear Science and Technology Organization 800 Blackburn Road Clayton Victoria 3168 Australia

Cation migration often occurs in layered oxide cathodes of lithium-ion batteries due to the similar ion radius of Li and transition metals (TMs). Although Na and TM show a big difference of ion radius, TMs in layered cathodes of sodium-ion batteries (SIBs) can still migrate to Na layer, leading to serious electrochemical degeneration. To elucidate the origin of TM migration in layered SIB cathodes, we choose NaCrO 2 , a typical layered cathode suffering from serious TM migration, as a model material and find that the TM migration is derived from the random desodiation and subsequent formation of Na-free layer at high charge potential. A Ru/Ti co-doping strategy is developed to address the issue, where the doped active Ru is first oxidized to create a selective desodiation and the doped inactive Ti can function as a pillar to avoid complete desodiation in Ru-contained TM layers, leading to the suppression of the Na-free layer formation and subsequent enhanced electrochemical performance.

关键词： Layered Sodium-Ion Battery Cathodes Na-Free Layer Random Na Extraction Selective Na Extraction Transition-Metal Migration

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Photophoretic Levitation: Photophoretic Levitation of Macroscopic Nanocardboard Plates (Adv. Mater. 16/2020)

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Advanced Materials 2020年第16期32卷

作者： John Cortes Christopher Stanczak Mohsen Azadi Maanav Narula Samuel M. Nicaise Howard Hu Igor Bargatin Department of Mechanical Engineering and Applied Mechanics University of Pennsylvania Philadelphia PA 19104 USA Vagelos Integrated Program in Energy Research University of Pennsylvania Philadelphia PA 19104 USA

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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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Compact prototype microfabricated gas chromatographic analyzer for autonomous determinations of VOC mixtures at typical workplace concentrations

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Microsystems & Nanoengineering 2018年第1期4卷 390-399页

作者： Junqi Wang Jonathan Bryant-Genevier Nicolas Nuñovero Chengyi Zhang Bruce Kraay Changhua Zhan Kee Scholten Robert Nidetz Sanketh Buggaveeti Edward T.Zellers Department of Chemistry University of MichiganAnn ArborMI 48109USA Department of Environmental Health Sciences University of MichiganAnn ArborMI 48109USA Applied Physics Program University of MichiganAnn ArborMI 48109USA Department of Mechanical Engineering University of MichiganAnn ArborMI 48109USA Center for Wireless Integrated MicroSensing and Systems University of MichiganAnn ArborMI 48109USA

This report concerns a benchtop prototype instrument containing a gas chromatographic microanalytical system(μGC)designed for the selective determination of multiple airborne volatile organic compounds(VOCs)at concentrations in the vicinity of recommended occupational exposure *** core microsystem consists of a set of discrete Si-microfabricated devices:a dualcavity,adsorbent-packed micro-preconcentrator-focuser(μPCF)chip that quantitatively captures and thermally desorbs/injects VOCs with vapor pressures between~0.03 and 13 kPa;tandem micro-column(μcolumn)chips with cross-linked PDMS wall-coated stationary phases capable of temperature-programmed separations;and an integrated array of fiveμchemiresistors(μCR)coated with different thiolate-monolayer protected gold nanoparticle(MPN)interface films that quantifies and further differentiates among the analytes by virtue of the response patterns *** key components include a pre-trap for low-volatility interferences,a split-flow injection valve,and an onboard He carrier–gas *** assembled unit measures 19×30×14 cm,weighs~3.5 kg,operates on AC power,and is laptop/LabVIEW ***-and system-level tests of performance demonstrated injection bandwidths o1 s,aμcolumn capacity of≥8μg injected mass,linear calibration curves,no humidity effects,excellent medium-term(that is,1 week)reproducibility,autonomous operation for 8 h,detection limits below Threshold Limit Values(TLV)for 10 mL air samples collected in 1 min,and response patterns that enhanced vapor *** determination of a 17-VOC mixture in the presence of seven interferences was performed in 4 *** augur well for adapting the microsystem to an all-MEMS wearableμGC currently under parallel development.

关键词： gas chromatography micro-GC microsystem mixtures sensor array VOCs

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Why is the Winner the Best?

Why is the Winner the Best?

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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： M. Eisenmann A. Reinke V. Weru M. D. Tizabi F. Isensee T. J. Adler S. Ali V. Andrearczyk M. Aubreville U. Baid S. Bakas N. Balu S. Bano J. Bernal S. Bodenstedt A. Casella V. Cheplygina M. Daum M. De Bruijne A. Depeursinge R. Dorent J. Egger D. G. Ellis S. Engelhardt M. Ganz N. Ghatwary G. Girard P. Godau A. Gupta L. Hansen K. Harada M. Heinrich N. Heller A. Hering A. Huaulmé P. Jannin A. E. Kavur O. Kodym M. Kozubek J. Li H. Li J. Ma C. Martín-Isla B. Menze A. Noble V. Oreiller N. Padoy S. Pati K. Payette T. Rädsch J. Rafael-Patiño V. Singh Bawa S. Speidel C. H. Sudre K. Van Wijnen M. Wagner D. Wei A. Yamlahi M. H. Yap C. Yuan M. Zenk A. Zia D. Zimmerer D. Aydogan B. Bhattarai L. Bloch R. Brüngel J. Cho C. Choi Q. Dou I. Ezhov C. M. Friedrich C. Fuller R. R. Gaire A. Galdran Á. García Faura M. Grammatikopoulou S. Hong M. Jahanifar I. Jang A. Kadkhodamohammadi I. Kang F. Kofler S. Kondo H. Kuijf M. Li M. Luu T. Martinčič P. Morais M. A. Naser B. Oliveira D. Owen S. Pang J. Park S. Park S. Płotka E. Puybareau N. Rajpoot K. Ryu N. Saeed A. Shephard P. Shi D. Štepec R. Subedi G. Tochon H. R. Torres H. Urien J. L. Vilaça K. A. Wahid H. Wang J. Wang L. Wang X. Wang B. Wiestler M. Wodzinski F. Xia J. Xie Z. Xiong S. Yang Y. Yang Z. Zhao K. Maier-Hein P. F. Jäger A. Kopp-Schneider L. Maier-Hein Division of Intelligent Medical Systems German Cancer Research Center (DKFZ) Heidelberg Germany Helmholtz Imaging German Cancer Research Center (DKFZ) Heidelberg Germany Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Division of Biostatistics German Cancer Research Center (DKFZ) Heidelberg Germany Division of Medical Image Computing German Cancer Research Center (DKFZ) Heidelberg Germany Faculty of Engineering and Physical Sciences School of Computing University of Leeds Leeds UK Institute of Informatics School of Management HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland Sierre Switzerland Department of Nuclear Medicine and Molecular Imaging Lausanne University Hospital Lausanne Switzerland Technische Hochschule Ingolstadt Ingolstadt Germany Center for Artificial Intelligence and Data Science for Integrated Diagnostics (AI2D) and Center for Biomedical Image Computing and Analytics (CBICA) University of Pennsylvania Philadelphia PA USA Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Department of Radiology Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Department of Radiology University of Washington Seattle WA USA Department of Computer Science Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) University College London London UK Universitat Autònoma de Barcelona & Computer Vision Center Barcelona Spain Division of Translational Surgical Oncology National Center for Tumor Diseases (NCT/UCC) Dresden Dresden Germany Department of Advanced Robotics Istituto Italiano di Tecnologia Italy Department of Electronics Information and Bioengineering Politecnico di Milano Milan Italy IT University of Copenhagen Copenhagen Denmark Department of General Visceral and Transplantation Surgery Heidelberg University Hospital Heidelberg Germany Department of Radiology and Nuc

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to investigating what can be learnt from these competitions. Do they really generate scientific progress? What are common and successful participation strategies? What makes a solution superior to a competing method? To address this gap in the literature, we performed a multicenter study with all 80 competitions that were conducted in the scope of IEEE ISBI 2021 and MICCAI 2021. Statistical analyses performed based on comprehensive descriptions of the submitted algorithms linked to their rank as well as the underlying participation strategies revealed common characteristics of winning solutions. These typically include the use of multi-task learning (63%) and/or multi-stage pipelines (61%), and a focus on augmentation (100%), image preprocessing (97%), data curation (79%), and post-processing (66%). The “typical” lead of a winning team is a computer scientist with a doctoral degree, five years of experience in biomedical image analysis, and four years of experience in deep learning. Two core general development strategies stood out for highly-ranked teams: the reflection of the metrics in the method design and the focus on analyzing and handling failure cases. According to the organizers, 43% of the winning algorithms exceeded the state of the art but only 11% completely solved the respective domain problem. The insights of our study could help researchers (1) improve algorithm development strategies when approaching new problems, and (2) focus on open research questions revealed by this work.

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Void distributions reveal structural link between jammed packings and protein cores

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Physical Review E 2019年第2期99卷 022416-022416页

作者： John D. Treado Zhe Mei Lynne Regan Corey S. O'Hern Department of Mechanical Engineering & Materials Science Yale University New Haven Connecticut 06520 USA Integrated Graduate Program in Physical & Engineering Biology Yale University New Haven Connecticut 06520 USA Department of Chemistry Yale University New Haven Connecticut 06520 USA Department of Molecular Biophysics & Biochemistry Yale University New Haven Connecticut 06520 USA Department of Physics Yale University New Haven Connecticut 06520 USA Department of Applied Physics Yale University New Haven Connecticut 06520 USA Program in Computational Biology and Bioinformatics Yale University New Haven Connecticut 06520 USA

Dense packing of hydrophobic residues in the cores of globular proteins determines their stability. Recently, we have shown that protein cores possess packing fraction ϕ≈0.56, which is the same as dense, random packing of amino-acid-shaped particles. In this article, we compare the structural properties of protein cores and jammed packings of amino-acid-shaped particles in much greater depth by measuring their local and connected void regions. We find that the distributions of surface Voronoi cell volumes and local porosities obey similar statistics in both systems. We also measure the probability that accessible, connected void regions percolate as a function of the size of a spherical probe particle and show that both systems possess the same critical probe size. We measure the critical exponent τ that characterizes the size distribution of connected void clusters at the onset of percolation. We find that the cluster size statistics are similar for void percolation in packings of amino-acid-shaped particles and randomly placed spheres, but different from that for void percolation in jammed sphere packings. We propose that the connected void regions are a defining structural feature of proteins and can be used to differentiate experimentally observed proteins from decoy structures that are generated using computational protein design software. This work emphasizes that jammed packings of amino-acid-shaped particles can serve as structural and mechanical analogs of protein cores, and could therefore be useful in modeling the response of protein cores to cavity-expanding and -reducing mutations.

关键词： Jamming Protein structure Packing & jamming problems Proteins Crystal structures Finite-size scaling Molecular dynamics Percolation theory

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