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arXiv 2020年

作者： Behar, Joachim A. Liu, Chengyu Tsutsui, Kenta Corino, Valentina D.A. Singh, Janmajay Pimentel, Marco A.F. Karlen, Walter Warrick, Philip Zaunseder, Sebastian Andreotti, Fernando Osipov1, Maxim McSharry, Patrick E. Kotzen, Kevin Karmakar, Chandan Clifford, Gari D. Faculty of Biomedical Engineering Technion-IIT Haifa Israel State Key Laboratory of Bioelectronics School of Instrument Science and Engineering Southeast University Nanjing Department of Cardiovascular Medicine Saitama International Medical Center Saitama Department of Electronics Information and Bioengineering Milano Italy Independent Researcher Department of Engineering Science University of Oxford Oxford United Kingdom Mobile Health Systems Lab Department of Health Sciences and Technology ETH Zurich Zurich Switzerland PeriGen CaryNC United States Faculty of Information Technology FH Dortmund Dortmund Germany Sensyne Health Oxford United Kingdom Babylon Health London United Kingdom Carnegie Mellon University Africa Kigali Rwanda African Centre of Excellence in Data Science University of Rwanda Kigali Rwanda Oxford Man Institute of Quantitative Finance Oxford University Oxford United Kingdom School of Information Technology Deakin University Geelong Australia Department of Electrical and Electronic Engineering University of Melbourne Melbourne Australia Department of Biomedical Informatics Emory University AtlantaGA United States Department of Biomedical Engineering Georgia Institute of Technology Emory University AtlantaGA United States

Coronavirus disease (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that is rapidly spreading across the globe. The clinical spectrum of SARS-CoV-2 pneumonia ranges from mild to critically ill cases and requires early detection and monitoring, within a clinical environment for critical cases and remotely for mild cases. The fear of contamination in clinical environments has led to a dramatic reduction in on-site referrals for routine care. There has also been a perceived need to continuously monitor non-severe COVID-19 patients, either from their quarantine site at home, or dedicated quarantine locations (e.g., hotels). Thus, the pandemic has driven incentives to innovate and enhance or create new routes for providing healthcare services at distance. In particular, this has created a dramatic impetus to find innovative ways to remotely and effectively monitor patient health status. In this paper we present a short review of remote health monitoring initiatives taken in 19 states during the time of the pandemic. We emphasize in the discussion particular aspects that are common ground for the reviewed states, in particular the future impact of the pandemic on remote health monitoring and consideration on data privacy. Copyright © 2020, The Authors. All rights reserved.

关键词： Coronavirus

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Non-volatile optical switch based on a GST-loaded directional coupler 3

Non-volatile optical switch based on a GST-loaded directiona...

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3rd Optoelectronics Global Conference, OGC 2018

作者： Zhang, Hanyu Zhou, Linjie Lu, Liangjun Chen, Jianping Rahman, B.M.A. Shanghai Institute for Advanced Communication and Data Science Shanghai Key Lab of Navigation and Location Services State Key Laboratory of Advanced Optical Communication Systems and Networks SJTU Shanghai China Department of Electrical and Electronic Engineering University of London London United Kingdom

ISBN: (纸本)9781538673973

We present a non-volatile optical switch based on a directional coupler comprising a silicon-Ge2Sb2Te5 (GST) hybrid waveguide. The non-volatility of GST makes it attractive for reducing static power consumption in optical switching. Experimental results show that the optical switch has an extinction ratio of >20 dB in the bar state and >25 dB in the cross state around 1578 nm wavelength. The insertion loss is 2 dB and 7 dB for the bar and cross states, respectively. © 2018 IEEE.

关键词： Phase change materials

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Correction: Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium

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Journal of neuroengineering and rehabilitation 2024年第1期21卷 71页

作者： M Encarna Micó-Amigo Tecla Bonci Anisoara Paraschiv-Ionescu Martin Ullrich Cameron Kirk Abolfazl Soltani Arne Küderle Eran Gazit Francesca Salis Lisa Alcock Kamiar Aminian Clemens Becker Stefano Bertuletti Philip Brown Ellen Buckley Alma Cantu Anne-Elie Carsin Marco Caruso Brian Caulfield Andrea Cereatti Lorenzo Chiari Ilaria D'Ascanio Bjoern Eskofier Sara Fernstad Marcel Froehlich Judith Garcia-Aymerich Clint Hansen Jeffrey M Hausdorff Hugo Hiden Emily Hume Alison Keogh Felix Kluge Sarah Koch Walter Maetzler Dimitrios Megaritis Arne Mueller Martijn Niessen Luca Palmerini Lars Schwickert Kirsty Scott Basil Sharrack Henrik Sillén David Singleton Beatrix Vereijken Ioannis Vogiatzis Alison J Yarnall Lynn Rochester Claudia Mazzà Silvia Del Din Translational and Clinical Research Institute Faculty of Medical Sciences Newcastle University Newcastle Upon Tyne UK. Department of Mechanical Engineering and Insigneo Institute for in Silico Medicine The University of Sheffield Sheffield UK. Laboratory of Movement Analysis and Measurement Ecole Polytechnique Federale de Lausanne Lausanne Switzerland. Machine Learning and Data Analytics Lab Department of Artificial Intelligence in Biomedical Engineering Friedrich-Alexander-Universität Erlangen Nürnberg Erlangen Germany. Center for the Study of Movement Cognition and Mobility Neurological Institute Tel Aviv Sourasky Medical Center Tel Aviv Israel. Department of Biomedical Sciences University of Sassari Sassari Italy. Department of Electronics and Telecommunications Politecnico di Torino Turin Italy. National Institute for Health and Care Research (NIHR) Newcastle Biomedical Research Centre (BRC) Newcastle University and The Newcastle Upon Tyne Hospitals NHS Foundation Trust Newcastle Upon Tyne UK. Robert Bosch Gesellschaft für Medizinische Forschung Stuttgart Germany. The Newcastle Upon Tyne Hospitals NHS Foundation Trust Newcastle Upon Tyne UK. School of Computing Newcastle University Newcastle Upon Tyne UK. Barcelona Institute for Global Health (ISGlobal) Barcelona Spain. Universitat Pompeu Fabra Barcelona Catalonia Spain. CIBER Epidemiología y Salud Pública (CIBERESP) Madrid Spain. Insight Centre for Data Analytics University College Dublin Dublin Ireland. School of Public Health Physiotherapy and Sports Science University College Dublin Dublin Ireland. Department of Electrical Electronic and Information Engineering «Guglielmo Marconi» University of Bologna Bologna Italy. Health Sciences and Technologies-Interdepartmental Center for Industrial Research (CIRI-SDV) University of Bologna Bologna Italy. Grünenthal GmbH Aachen Germany. Department of Neurology University Medical Center Schleswig-Holstein Campus Kiel Kiel Germany. Sagol School of Neuroscien

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Three long period transiting giant planets from TESS

arXiv

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arXiv 2023年

作者： Brahm, Rafael Ulmer-Moll, Solène Hobson, Melissa J. Jordán, Andrés Henning, Thomas Trifonov, Trifon Jones, Matías I. Schlecker, Martin Espinoza, Nestor Rojas, Felipe I. Torres, Pascal Sarkis, Paula Tala, Marcelo Eberhardt, Jan Kossakowski, Diana Muñoz, Diego J. Hartman, Joel D. Boyle, Gavin Suc, Vincent Bouchy, François Deline, Adrien Chaverot, Guillaume Grieves, Nolan Lendl, Monika Suarez, Olga Guillot, Tristan Triaud, Amaury H.M.J. Crouzet, Nicolas Dransfield, Georgina Cloutier, Ryan Barkaoui, Khalid Schwarz, Rick P. Stockdale, Chris Harris, Mallory Mireles, Ismael Evans, Phil Mann, Andrew W. Ziegler, Carl Dragomir, Diana Villanueva, Steven Mordasini, Christoph Ricker, George Vanderspek, Roland Latham, David W. Seager, Sara Winn, Joshua N. Jenkins, Jon M. Vezie, Michael Youngblood, Allison Daylan, Tansu Collins, Karen A. Caldwell, Douglas A. Ciardi, David R. Palle, Enric Murgas, Felipe Facultad de Ingeniera y Ciencias Universidad Adolfo Ibáñez Av. Diagonal las Torres 2640 Santiago Peñalolén Chile Millennium Institute for Astrophysics Chile Data Observatory Foundation Chile Physikalisches Institut University of Bern Gesellsschaftstrasse 6 Bern3012 Switzerland Observatoire Astronomique de l'Université de Genève chemin Pegasi 51 Versoix1290 Switzerland Max-Planck-Institut für Astronomie Königstuhl 17 Heidelberg69117 Germany Department of Astronomy Sofia University 'St Kliment Ohridski' 5 James Bourchier Blvd SofiaBG-1164 Bulgaria European Southern Observatory Casilla 19001 Santiago Chile Steward Observatory Department of Astronomy The University of Arizona TucsonAZ85721 United States Space Telescope Science Institute 3700 San Martin Drive BaltimoreMD21218 United States Instituto de Astrofísica Facultad de Física Pontificia Universidad Católica de Chile Chile Department of Physics and Astronomy Northwestern University 2145 Sheridan Road EvanstonIL60208 United States Department of Astrophysical Sciences Princeton University 4 Ivy Lane PrincetonNJ08544 United States El Sauce Observatory Coquimbo Province Chile Cavendish Laboratory J J Thomson Avenue CambridgeCB3 0HE United Kingdom El Sauce Observatory -Obstech Chile Université Côte d'Azur Observatoire de la Côte d'Azur Cnrs Laboratoire Lagrange Bd de l'Observatoire Cs 34229 Nice06304 cedex 4 France School of Physics & Astronomy University of Birmingham Birmingham EdgbastonB15 2TT United Kingdom Keplerlaan 1 Noordwijk2201 AZ Netherlands Dept. of Physics & Astronomy McMaster University 1280 Main St West ON HamiltonL8S 4L8 Canada Center for Astrophysics Harvard & Smithsonian 60 Garden St CambridgeMA02138 United States Astrobiology Research Unit Université de Liège Allée du 6 Août 19C LiègeB-4000 Belgium Department of Earth Atmospheric and Planetary Science Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States

We report the discovery and orbital characterization of three new transiting warm giant planets. These systems were initially identified as presenting single transit events in the light curves generated from the full frame images of the Transiting Exoplanet Survey Satellite (TESS). Follow-up radial velocity measurements and additional light curves were used to determine the orbital periods and confirm the planetary nature of the candidates. The planets orbit slightly metal-rich late F- and early G-type stars. We find that TOI 4406b has a mass of MP= 0.30 ± 0.04 MJ, a radius of RP= 1.00± 0.02 RJ, and a low eccentricity orbit (e=0.15±0.05) with a period of P= 30.08364± 0.00005 d TOI 2338b has a mass of MP= 5.98±0.20 MJ, a radius of RP= 1.00±0.01 RJ, and a highly eccentric orbit (e= 0.676 ± 0.002 ) with a period of P= 22.65398 ± 0.00002 d. Finally, TOI 2589b has a mass of MP= 3.50±0.10 MJ, a radius of RP= 1.08±0.03 RJ, and an eccentric orbit (e = 0.522±0.006 ) with a period of P= 61.6277 ± 0.0002 d. TOI 4406b and TOI 2338b are enriched in metals compared to their host stars, while the structure of TOI 2589b is consistent with having similar metal enrichment to its host star. © 2023, CC BY.

关键词： Orbits

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HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach

arXiv

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arXiv 2020年

作者： Kowsari, Kamran Sali, Rasoul Ehsan, Lubaina Adorno, William Ali, Asad Moore, Sean Amadi, Beatrice Kelly, Paul Syed, Sana Brown, Donald Department of Systems and Information Engineering University of Virginia CharlottesvilleVA22904 United States CA90095 United States Sensing Systems for Health Lab University of Virginia CharlottesvilleVA22911 United States Department of Pediatrics School of Medicine University of Virginia CharlottesvilleVA22903 United States Department of Paediatrics and Child Health Aga Khan University Karachi74800 Pakistan Tropical Gastroenterology and Nutrition Group University of Zambia School of Medicine Lusak32379 Zambia Blizard Institute Barts and The London School of Medicine Queen Mary University of London LondonE1 4NS United Kingdom School of Data Science University of Virginia CharlottesvilleVA22904 United States

Image classification is central to the big data revolution in medicine. Improved information processing methods for diagnosis and classification of digital medical images have shown to be successful via deep learning approaches. As this field is explored, there are limitations to the performance of traditional supervised classifiers. This paper outlines an approach that is different from the current medical image classification tasks that view the issue as multi-class classification. We performed a hierarchical classification using our Hierarchical Medical Image classification (HMIC) approach. HMIC uses stacks of deep learning models to give particular comprehension at each level of the clinical picture hierarchy. For testing our performance, we use biopsy of the small bowel images that contain three categories in the parent level (Celiac Disease, Environmental Enteropathy, and histologically normal controls). For the child level, Celiac Disease Severity is classified into 4 classes (I, IIIa, IIIb, and IIIC). Copyright © 2020, The Authors. All rights reserved.

关键词： Medical imaging

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Author Correction: Community assessment of methods to deconvolve cellular composition from bulk gene expression

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Nature communications 2024年第1期15卷 9783页

作者： Brian S White Aurélien de Reyniès Aaron M Newman Joshua J Waterfall Andrew Lamb Florent Petitprez Yating Lin Rongshan Yu Martin E Guerrero-Gimenez Sergii Domanskyi Gianni Monaco Verena Chung Jineta Banerjee Daniel Derrick Alberto Valdeolivas Haojun Li Xu Xiao Shun Wang Frank Zheng Wenxian Yang Carlos A Catania Benjamin J Lang Thomas J Bertus Carlo Piermarocchi Francesca P Caruso Michele Ceccarelli Thomas Yu Xindi Guo Julie Bletz John Coller Holden Maecker Caroline Duault Vida Shokoohi Shailja Patel Joanna E Liliental Stockard Simon Julio Saez-Rodriguez Laura M Heiser Justin Guinney Andrew J Gentles Sage Bionetworks Seattle WA USA. The Jackson Laboratory for Genomic Medicine Farmington CT USA. Centre de Recherche des Cordeliers INSERM U1138 Université Paris Cité Paris France. Institute for Stem Cell Biology and Regenerative Medicine Stanford University Stanford CA USA. Department of Biomedical Data Science Stanford University Stanford CA USA. INSERM U830 and Translational Research Department Institut Curie PSL Research University Paris France. Programme Cartes d'Identité des Tumeurs Ligue Nationale Contre le Cancer Paris France. MRC Centre for Reproductive Health the Queen's Medical Research Institute University of Edinburgh Edinburgh United Kingdom. Xiamen University Xiamen Fujian China. Institute of Biochemistry and Biotechnology School of Medicine National University of Cuyo Mendoza Argentina. Michigan State University East Lansing MI USA. BIOGEM Institute of Molecular Biology and Genetics Ariano Irpino AV Italy. Department of Biomedical Engineering Knight Cancer Institute Oregon Health & Science University Portland OR USA. Heidelberg University Faculty of Medicine Heidelberg Germany. Heidelberg University Hospital Institute for Computational Biomedicine Bioquant Heidelberg Germany. Aginome Scientific Xiamen Fujian China. Department of Pathology Cancer Hospital Chinese Aacdemy of Medical Science Beijing China. AmoyDx Xiamen Fujian China. Laboratory of Intelligent Systems (LABSIN) Engineering School National University of Cuyo Mendoza Argentina. Department of Radiation Oncology Beth Israel Deaconess Medical Center Harvard Medical School Boston MA USA. Department of Electrical Engineering and Information Technology (DIETI) University of Naples "Federico II" Ariano Irpino AV Italy. Sylvester Comprehensive Cancer Center Department of Public Health Sciences University of Miami Miller School of Medicine Miami Florida USA. Stanford Functional Genomics Facility Stanford University School of Medicine Stanford CA USA. Institute fo

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The master stability function for synchronization in simplicial complexes

arXiv

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arXiv 2020年

作者： Gambuzza, L.V. Di Patti, F. Gallo, L. Lepri, S. Romance, M. Criado, R. Frasca, Mattia Latora, V. Boccaletti, S. Department of Electrical Electronics and Computer Science Engineering University of Catania Catania95125 Italy CNR-Institute of Complex Systems Via Madonna del Piano Sesto Fiorentino Florence50019 Italy Department of Physics and Astronomy University of Catania Catania95125 Italy Department of Applied Math. and Data Complex Networks and Cybersecurity Research Institute University Rey Juan Carlos C/Tulipn s/n Mstoles Madrid28933 Spain Department of Physics and Astronomy University of Catania INFN Catania95125 Italy School of Mathematical Sciences Queen Mary University of London LondonE1 4NS United Kingdom The Alan Turing Institute The British Library LondonNW1 2DB United Kingdom Unmanned Systems Research Institute Northwestern Polytechnical University Xi'an710072 China Moscow Institute of Physics and Technology Dolgoprudny Moscow Region141701 Russia

All interesting and fascinating collective properties of a complex system arise from the intricate way in which its components interact. Various systems in physics, biology, social sciences and engineering have been successfully modelled as networks of coupled dynamical systems, where the graph links describe pairwise interactions. This is, however, too strong a limitation, as recent studies have revealed that higher-order many-body interactions are present in social groups, ecosystems and in the human brain, and they actually affect the emergent dynamics of all these systems. Here, we introduce a general framework that allows to study coupled dynamical systems accounting for the precise microscopic structure of their interactions at any possible order. We consider the most general ensemble of identical dynamical systems, organized on the nodes of a simplicial complex, and interacting through synchronization-non-invasive coupling function. The simplicial complex can be of any dimension, meaning that it can account, at the same time, for pairwise interactions, three-body interactions and so on. In such a broad context, we show that complete synchronization, a circumstance where all the dynamical units arrange their evolution in unison, exists as an invariant solution, and we give the necessary condition for it to be observed as a stable state in terms of a Master Stability Function. This generalizes the existing results valid for pairwise interactions (i.e. graphs) to the case of complex systems with the most general possible architecture. Moreover, we show how the approach can be simplified for specific, yet frequently occurring, instances, and we verify all our theoretical predictions in synthetic and real-world systems. Given the completely general character of the method proposed, our results contribute to the theory of dynamical systems with many-body interactions and can find applications in an extremely wide range of practical cases. Copyright © 2020, The Auth

关键词： Dynamical systems

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Protoglobin-Catalyzed Formation ofcis-Trifluoromethyl-Substituted Cyclopropanes by Carbene Transfer

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Angewandte Chemie 2022年第4期135卷

作者： Lucas Schaus Dr. Anuvab Das Dr. Anders M. Knight Dr. Gonzalo Jimenez-Osés Prof. Dr. K. N. Houk Dr. Marc Garcia-Borràs Prof. Dr. Frances H. Arnold Prof. Dr. Xiongyi Huang Division of Chemistry and Chemical Engineering California Institute of Technology 1200 E California Blvd. Pasadena CA 91125 USA Contribution: Data curation (lead) Formal analysis (equal) Investigation (lead) Methodology (lead) Validation (equal) Writing - original draft (equal) Contribution: Data curation (equal) Formal analysis (equal) Investigation (supporting) Methodology (supporting) Validation (equal) Writing - review & editing (supporting) Contribution: Investigation (supporting) Methodology (supporting) Center for Cooperative Research in Biosciences (CIC bioGUNE) Basque Research and Technology Alliance (BRTA) Bizkaia Technology Park Building 800 48160 Derio Spain Ikerbasque Basque Foundation for Science 48013 Bilbao Spain Contribution: Data curation (supporting) Formal analysis (supporting) Validation (supporting) Department of Chemistry and Biochemistry University of California Los Angeles CA 90095 USA Contribution: Resources (supporting) Supervision (supporting) Writing - original draft (supporting) Institut de Química Computacional i Catàlisi and Departament de Química Universitat de Girona C/M. Aurèlia Capmany 69 17003 Girona Spain Contribution: Conceptualization (equal) Data curation (lead) Formal analysis (equal) Funding acquisition (supporting) Investigation (lead) Methodology (supporting) Resources (equal) Supervision (equal) Validation (equal) Writing - original draft (equal) Contribution: Conceptualization (equal) Data curation (supporting) Funding acquisition (lead) Resources (lead) Supervision (lead) Writing - original draft (supporting) Department of Chemistry Johns-Hopkins University Baltimore MD 21218 USA Contribution: Conceptualization (lead) Data curation (supporting) Formal analysis (supporting) Funding acquisition (supporting) Investigation (equal) Methodology (supporting) Resources (supporting) Supervision (supporting) Validation (supporting) Writing - original draft (equal)

Trifluoromethyl-substituted cyclopropanes (CF 3 -CPAs) constitute an important class of compounds for drug discovery. While several methods have been developed for synthesis of trans -CF 3 -CPAs, stereoselective production of corresponding cis -diastereomers remains a formidable challenge. We report a biocatalyst for diastereo- and enantio-selective synthesis of cis -CF 3 -CPAs with activity on a variety of alkenes. We found that an engineered protoglobin from Aeropyrnum pernix ( Ape Pgb) can catalyze this unusual reaction at preparative scale with low-to-excellent yield (6–55 %) and enantioselectivity (17–99 % ee), depending on the substrate. Computational studies revealed that the steric environment in the active site of the protoglobin forced iron-carbenoid and substrates to adopt a pro- cis near-attack conformation. This work demonstrates the capability of enzyme catalysts to tackle challenging chemistry problems and provides a powerful means to expand the structural diversity of CF 3 -CPAs for drug discovery.

关键词： Biocatalysis Carbenes Cyclopropanes Organofluorines Protoglobins

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A mobile cloud-based ehealth scheme

arXiv

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arXiv 2020年

作者： Liu, Yihe Abbasi, Aaqif Afzaal Aghaei, Atefeh Abbasi, Almas Mosavi, Amir Shamshirband, Shahab Al-qaness, Mohammed A.A. Data Recovery Key Laboratory of Sichuan Province College of Computer Science and AI Neijiang Normal University Neijiang641100 China Department of Software Engineering Foundation University Islamabad44000 Pakistan Department of Communication Faculty of Social Sciences University of Tehran Tehran*** Iran Department of Computer Science International Islamic University Islamabad46000 Pakistan Institute of Research and Development Duy Tan University Da Nang550000 Viet Nam Kalman Kando Faculty of Electrical Engineering Obuda University Budapest1034 Hungary School of the Built Environment Oxford Brookes University OxfordOX3 0BP United Kingdom Department for Management of Science and Technology Development Ton Duc Thang University Ho Chi Minh City Viet Nam Faculty of Information Technology Ton Duc Thang University Ho Chi Minh City Viet Nam School of Computer Science Wuhan University Wuhan430072 China

Mobile cloud computing is an emerging field that is gaining popularity across borders at a rapid pace. Similarly, the field of health informatics is also considered as an extremely important field. This work observes the collaboration between these two fields to solve the traditional problem of extracting Electrocardiogram signals from trace reports and then performing analysis. The developed system has two front ends, the first dedicated for the user to perform the photographing of the trace report. Once the photographing is complete, mobile computing is used to extract the signal. Once the signal is extracted, it is uploaded into the server and further analysis is performed on the signal in the cloud. Once this is done, the second interface, intended for the use of the physician, can download and view the trace from the cloud. The data is securely held using a password-based authentication method. The system presented here is one of the first attempts at delivering the total solution, and after further upgrades, it will be possible to deploy the system in a commercial *** Codes 68T05 Copyright © 2020, The Authors. All rights reserved.

关键词： Signal analysis

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Miniature silicon nanobeam resonator tuned by GST phase change material

Miniature silicon nanobeam resonator tuned by GST phase chan...

引用

Conference on Lasers and Electro-Optics/Pacific Rim, CLEOPR 2018

作者： Zhou, Linjie Zhang, Hanyu Hu, Hao Lu, Liangjun Chen, Jianping Rahman, B.M.A. Shanghai Institute for Advanced Communication and Data Science State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China Department of Electrical and Electronic Engineering City University of London LondonEC 1V 0HB United Kingdom

We report a silicon optical nanobeam resonator with central hole infiltrated with a thin layer of Ge2Sb2Te5 (GST) material. The resonances can be tuned when the GST changes its phases between the amorphous and crystal... 详细信息

ISBN: (纸本)9781943580453

关键词： Silicon

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