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Publisher Correction: Firn on ice sheets

Nature Reviews Earth & Environment 2024年 330页

作者： Charles Amory Christo Buizert Sammie Buzzard Elizabeth Case Nicole Clerx Riley Culberg Rajashree Tri Datta Devon Dunmire Jan T. M. Lenaerts Megan Thompson-Munson Nander Wever Rahul Dey Reinhard Drews Falk M. Oraschewski Clare Eayrs Nicolaj Hansen Sebastian B. Simonsen Angelika Humbert Athul Kaitheri Kaitlin Keegan Ian McDowell Peter Kuipers Munneke Stef Lhermitte Sophie de Roda Husman Bert Wouters Doug Mair Jessica Mejia Colin R. Meyer Elizabeth Morris Dorothea Moser Elizabeth R. Thomas Emma Pearce Nicole-Jeanne Schlegel Timm Schultz C. Max Stevens Institut des Géosciences de l’Environnement University Grenoble Alpes CNRS Grenoble France College of Earth Ocean and Atmospheric Sciences Oregon State University Corvallis OR USA School of Earth and Environmental Sciences Cardiff University Cardiff UK Department of Geography and Environmental Sciences Northumbria University Newcastle upon Tyne UK Department of Earth and Environmental Sciences Columbia University NY USA Department of Geosciences Université de Fribourg Fribourg Switzerland Department of Earth and Atmospheric Sciences Cornell University Ithaca NY USA Department of Atmospheric and Oceanic Sciences University of Colorado Boulder Boulder CO USA Cooperative Institute for Research in Environmental Sciences (CIRES) University of Colorado Boulder Boulder CO USA WSL Institute for Snow and Avalanche Research SLF Davos Switzerland National Centre for Polar and Ocean Research (NCPOR) Ministry of Earth Sciences Vasco da Gama Goa India Department of Geosciences University of Tübingen Tübingen Germany Center for Global Sea Level Change New York University Abu Dhabi Abu Dhabi UAE Department of Glacial Environment Research Korea Polar Research Institute Incheon Republic of Korea Geodesy and Earth Observation DTU Space Technical University of Denmark Kongens Lyngby Denmark Danish Meteorological Institute Copenhagen Denmark Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research Bremerhaven Germany Faculty of Geosciences University of Bremen Bremen Germany Observatoire de la Côte d’Azur Université Côte d’Azur CNRS Valbonne France Department of Geological Sciences and Engineering University of Nevada Reno USA Graduate Program of Hydrologic Sciences University of Nevada Reno NV USA Institute for Marine and Atmospheric Research (IMAU) Utrecht University Utrecht The Netherlands Department of Earth and Environmental Sciences KU Leuven Leuven Belgium Department of Geoscience and Remote Sensing Delft University of Technology (TUDel

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Numerical simulation on improvement of a Savonius vertical axis water turbine performance to advancing blade side with a circular cylinder diameter variations

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IOP Conference Series: Earth and Environmental Science 2018年第1期200卷

作者： P A Setiawan T Yuwono W A Widodo Student of Doctoral Program Mechanical Engineering Department Sepuluh Nopember Institute of Technology Surabaya 60111 Indonesia Marine Engineering Department Shipbuilding Institute of Polytechnic Surabaya Surabaya 60111 Indonesia Mechanical Engineering Department Sepuluh Nopember Institute of Technology Surabaya 60111 Indonesia Center of Excellence in Automotive Control & System Sepuluh Nopember Institute of Technology Surabaya 60111 Indonesia

The use of fossil fuel will generate particulate gas in the atmosphere and forming the greenhouse effect. One of the ways to reducing greenhouse effect is used renewable energy as hydropower without generating particulate gas impacted in human life. The present study uses hydropower as the renewable energy by using a Savonius turbine. The main objective investigates the performance of Savonius water turbine numerically due to the installation of a circular cylinder beside of the advancing blade with circular cylinder diameter variations. The method used is numerically toward Savonius turbine disturbed a circular cylinder. The numerical simulation using two-dimensional (2D) analysis of Computational Fluid Dynamics (CFD) simulation by using ANSYS 17.0-Fluent and sliding Mesh technique used is to solve the incompressible Unsteady Reynolds Averaged Navier-Stokes (URANS) equations. The turbulence model uses Realizable k-epsilon (RKE) and transport equation uses the finite volume discretization method with the second-order upwind scheme and the SIMPLE algorithm. Firstly, the numerical model has been validated by the published experimental data toward the torque coefficient by using air fluid at Reynolds of 4.32.105. Then the fluid is changed the water fluid at the same Reynolds. The circular cylinder diameter relative to the turbine diameter (ds/D) is varied of 0.1, 0.3, 0.5, 0.7 and 0.9 at X/D of 0.5 and Y/D of 0.7 kept constant with TSR of 0.5, 0.7, 0.9, 1.1 and 1.3. The numerical simulation uses the transient and two dimensional (2D) simulations. The results show that the increase of disturbance diameter (ds/D) will improve the performance of the conventional Savonius turbine and the maximum power coefficient increase about 18.04% at ds/D of 0.7 with TSR of 0.7.

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Author Correction: Stretchable, dynamic covalent polymers for soft, long-lived bioresorbable electronic stimulators designed to facilitate neuromuscular regeneration

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Nature communications 2021年第1期12卷 415页

作者： Yeon Sik Choi Yuan-Yu Hsueh Jahyun Koo Quansan Yang Raudel Avila Buwei Hu Zhaoqian Xie Geumbee Lee Zheng Ning Claire Liu Yameng Xu Young Joong Lee Weikang Zhao Jun Fang Yujun Deng Seung Min Lee Abraham Vázquez-Guardado Iwona Stepien Ying Yan Joseph W Song Chad Haney Yong Suk Oh Wentai Liu Hong-Joon Yoon Anthony Banks Matthew R MacEwan Guillermo A Ameer Wilson Z Ray Yonggang Huang Tao Xie Colin K Franz Song Li John A Rogers Center for Bio-Integrated Electronics Northwestern University Evanston IL 60208 USA. Querrey Simpson Institute for Biotechnology Northwestern University Evanston IL 60208 USA. Department of Materials Science and Engineering Northwestern University Evanston IL 60208 USA. Department of Bioengineering University of California Los Angeles Los Angeles CA 90095 USA. Division of Plastic and Reconstructive Surgery Department of Surgery National Cheng Kung University Hospital College of Medicine National Cheng Kung University Tainan 70456 Taiwan. International Research Center for Wound Repair and Regeneration National Cheng Kung University Tainan 70456 Taiwan. School of Biomedical Engineering Korea University Seoul 02841 Republic of Korea. Interdisciplinary Program in Precision Public Health Korea University Seoul 02841 Republic of Korea. Department of Mechanical Engineering Northwestern University Evanston IL 60208 USA. Department of Medicine University of California Los Angeles Los Angeles CA 90095 USA. State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of Technology 116024 Dalian China. Department of Engineering Mechanics Dalian University of Technology 116024 Dalian China. International Research Center for Computational Mechanics Dalian University of Technology 116024 Dalian China. State Key Laboratory of Chemical Engineering College of Chemical and Biological Engineering Zhejiang University 310027 Hangzhou China. Department of Biomedical Engineering Northwestern University Evanston IL 60208 USA. State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University 200240 Shanghai China. Center for Developmental Therapeutics Chemistry Life Processes Institute Northwestern University Evanston IL 60208 USA. Department of Neurological Surgery Washington University School of Medicine St. Louis MO 63110 USA. Center for Advanced Molecular Imaging Northwestern University Evanston IL

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Sensing of streptococcus mutans by microscopic imaging ellipsometry

arXiv

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arXiv 2017年

作者： Khaleel, Mai Ibrahim Chen, Yu-Da Chien, Ching-Hang Chang, Yia-Chung Research Center for Applied Sciences Academia Sinica Taipei11529 Taiwan Nano Science and Technology Program Taiwan International Graduate Program Academia Sinica and National Tsing Hua University Taiwan Department of Engineering and System Science National Tsing Hua University Hsinchu30013 Taiwan

Microscopic Imaging Ellipsometry is an optical technique that uses an objective and sensing procedure to measure the ellipsometric parameters Ψ and Δ in the form of microscopic maps. This technique is well known for being non-invasive and label-free. Therefore it can be used to detect and characterize biological species without any impact. In this work MIE was used to measure the optical response of dried Streptococcus mutans cells on a glass substrate. The ellipsometric Ψ and Δ maps were obtained with Optrel Multiskop system for specular reflection in the visible range (λ= 450nm -750nm). The Ψ and Δ images at 500nm, 600nm, and 700nm were analyzed using three different theoretical models with single-bounce, two-bounce, and multi-bounce light paths to obtain the optical constants and height distribution. The obtained images of the optical constants show different aspects when comparing the single-bounce analysis with the two-bounce or multi-bounce analysis in detecting S. mutans samples. Furthermore, the height distributions estimated by two-bounce and multi-bounce analysis of S. mutans samples were in agreement with the thickness values measured by AFM, which implies that the two-bounce and multi-bounce analysis can provide information complementary to that obtained by single-bounce light path. Copyright © 2017, The Authors. All rights reserved.

关键词： Ellipsometry

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Digital transformation of the healthcare value chain: Emergence of medical internet of things (MIoT) may need an integrated clinical environment, ICE Platform

arXiv

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arXiv 2017年

作者： Datta, Shoumen Palit Austin Goldman, Julian M. MIT Auto-ID Labs and Research Affiliate Dept of Mechanical Engineering Massachusetts Institute of Technology Medical Interoperability Program MDPnP Labs Massachusetts General Hospital Harvard Medical School Biomedical Engineering Department of Anesthesiology Director Medical Interoperability Program MDPnP Labs Partners HealthCare System Massachusetts General Hospital Harvard Medical School

The complexity of the healthcare ecosystem and the trans-disciplinary convergence which is essential for its function, makes it difficult to address healthcare as one domain. Divided in various stages for ease of management, healthcare is quintessentially a continuum which commences at birth and may cease at death. In this paper, we have attempted to take a broad view but it still isn't broad enough. We have focused on issues, such as, data and interoperability, yet it scratches only the surface of these sub-domains. For the specific problem at hand, we propose an "http" approach to adopt open standards to enable medical equipment and devices to share and synthesize data using ICE (integrated clinical environment), a medical device interoperability platform. ICE may help reduce deaths due to preventable medical errors. Thinking about the future of data in personal healthcare, we propose creating an ecosystem which contributes data from multiple health related domains. Data curation and analysis of the information may boost our health related knowledge. Increasing connectivity and improving infrastructure may help, among other things, to uncover facts and observations which may influence the future of global health. Copyright © 2017, The Authors. All rights reserved.

关键词： Health care

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Carbon nanodots prepared from dopamine and trisodium citrate as an effective fluorescent sensing platform for the label-free detection of ferric ions 20

Carbon nanodots prepared from dopamine and trisodium citrate...

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20th International Conference on Miniaturized systems for Chemistry and Life Sciences, MicroTAS 2016

作者： Wu, W.C. Lin, S.C. Chen, F.R. Chang, H.T. Tseng, F.G. Department of Engineering and System Science National Tsing Hua University Taiwan Nano Science and Technology Program Taiwan International Graduate Program Academia Sinica Taiwan Department of Chemistry National Taiwan University Taiwan

ISBN: (纸本)9780979806490

In this study, dopamine passivated carbon nanodots (C-dots) were fabricated to detect ferric ions (Fe3+) sensitivity and selectivity. Photoluminescence (PL) intensity of C-dots was turned on after adding phenyl boric acid. Depending on the interesting PL property, we investigated a novel strategy for Fe3+detection. Comparing to the previous papers used complicated and tedious process to fabricate nanomaterial-based probes for Fe3+ sensing, the one-pot hydrothermal method spend only 2 h to prepare C-dots from dopamine and trisodium citrate. The limit of detection (LOD) is 5.8 nM, which is lower than these papers.

关键词： Photoluminescence

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Small P values may not yield robust findings:an example using REST-meta-PD

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Science Bulletin 2021年第21期66卷 2148-2152,M0003页

作者： Xi-Ze Jia Na Zhao Hao-Ming Dong Jia-Wei Sun Marek Barton Roxana Burciu Nicolas Carrière Antonio Cerasa Bo-Yu Chen Jun Chen Stephen Coombes Luc Defebvre Christine Delmaire Kathy Dujardin Fabrizio Esposito Guo-Guang Fan Federica Di Nardo Yi-Xuan Feng Brett W.Fling Saurabh Garg Moran Gilat Martin Gorges Shu-Leong Ho Fay BHorak Xiao Hu Xiao-Fei Hu Biao Huang Pei-Yu Huang Ze-Juan Jia Christina Jones Jan Kassubek Lenka Krajcovicova Ajay Kurani Jing Li Qing Li Ai-Ping Liu Bo Liu Hu Liu Wei-Guo Liu Renaud Lopes Yu-Ting Lou Wei Luo Tara Madhyastha Ni-Ni Mao Grainne McAlonan Martin J.McKeown Shirley Pang Andrea Quattrone Irena Rektorova Alessia Sarica Hui-Fang Shang James M.Shine Priyank Shukla Tomas Slavicek Xiao-Peng Song Gioacchino Tedeschi Alessandro Tessitore David Vaillancourt Jian Wang Jue Wang Z.Jane Wang Lu-Qing Wei Xia Wu Xiao-Jun Xu Lei Yan Jing Yang Wan-Qun Yang Nai-Lin Yao De-Long Zhang Jiu-Quan Zhang Min-Ming Zhang Yan-Ling Zhang Cai-Hong Zhou Chao-Gan Yan Xi-Nian Zuo Mark Hallett Tao Wu Yu-Feng Zang Center for Cognition and Brain Disorders the Affiliated HospitalHangzhou Normal UniversityHangzhou 310015China Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments Hangzhou 311121China National Basic Science Data Center Beijing 100190China State Key Laboratory of Cognitive Neuroscience and Learning&McGovern Institute for Brain Research Beijing Normal UniversityBeijing 100875China School of Information and Electronics Technology Jiamusi UniversityJiamusi 154007China Neuroscience Program Central European Institute of TechnologyCEITECMasaryk UniversityBrno 62500Czech Republic Department of Applied Physiology and Kinesiology University of FloridaGainesville FL 32611USA Univ.Lille InsermCHU LilleU1172-LilNCog-Lille Neuroscience&CognitionLille F-59000France The Institute for Biomedical Research and Innovation National Research CouncilMangone CS 87050Italy Department of Radiology The First Affiliated Hospital of China Medical UniversityShenyang 110001China Department of Radiology Guangdong Provincial Hospital of Chinese MedicineGuangzhou 510120China Department of Medicine Surgery and DentistryScuola Medica SalernitanaUniversity of SalernoFiscianoSA 132-84084Italy Department of Advanced Medical and Surgery Sciences University of Campania“Luigi Vanvitelli”Caserta 81100Italy Eye Center of the 2nd Affiliated Hospital Medical College of Zhejiang UniversityHangzhou 310020China Zhejiang Provincial Key Lab of Ophthalmology Hangzhou 310020China Department of Health and Exercise Science Colorado State UniversityFort Collins CO 80523USA Pacific Parkinson’s Research Centre University of British ColumbiaVancouver BC V6E 2M6Canada Department of Medicine(Neurology)University of British Columbia Vancouver BC V6T 1B7Canada Brain and Mind Center The University of SydneySydney NSW 2006Australia Department of Neurology Ulm UniversityUlm 89081Germany Division of Neurology Department of MedicineQueen Mary HospitalUniversity of Hong KongHong Kong 999077China Department of

Thousands of resting state functional magnetic resonance imaging(RS-f MRI)articles have been published on brain *** precise localization of abnormal brain activity,a voxel-level comparison is *** of the large number of voxels in the brain,multiple comparison correction(MCC)must be performed to reduce false positive rates,and a smaller P value(usually including either liberal or stringent MCC)is widely recommended[1].

关键词：帕金森病 precise correction

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Efficient Construction Method for Phase Diagrams Using Uncertainty Sampling

arXiv

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arXiv 2018年

作者： Terayama, Kei Tamura, Ryo Nose, Yoshitaro Hiramatsu, Hidenori Hosono, Hideo Okuno, Yasushi Tsuda, Koji RIKEN Center for Advanced Intelligence Project Tokyo103-0027 Japan Medical Sciences Innovation Hub Program RIKEN Cluster for Science Technology and Innovation Hub Kanagawa230-0045 Japan Graduate school of Medicine Kyoto University Kyoto606-8507 Japan National Institute for Materials Science Ibaraki305-0044 Japan Research and Services Division of Materials Data and Integrated System National Institute for Materials Science Ibaraki305-0047 Japan Graduate school of Frontier Sciences University of Tokyo Chiba277-8568 Japan Department of Materials Science and Engineering Kyoto University Kyoto606-8501 Japan Laboratory for Materials and Structures Institute of Innovative Research Tokyo Institute of Technology Yokohama226-8503 Japan Materials Research Center for Element Strategy Tokyo Institute of Technology Yokohama226-8503 Japan

We develop a method to efficiently construct phase diagrams using machine learning. Uncertainty sampling (US) in active learning is utilized to intensively sample around phase boundaries. Here, we demonstrate constructions of three known experimental phase diagrams by the US approach. Compared with random sampling, the US approach decreases the number of sampling points to about 20%. In particular, the reduction rate is pronounced in more complicated phase diagrams. Furthermore, we show that using the US approach, undetected new phase can be rapidly found, and smaller number of initial sampling points are sufficient. Thus, we conclude that the US approach is useful to construct complicated phase diagrams from scratch and will be an essential tool in materials science. Copyright © 2018, The Authors. All rights reserved.

关键词： Graphic methods

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Author Correction: Advances and prospects for the Human BioMolecular Atlas program (HuBMAP)

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Nature cell biology 2024年第5期26卷 839页

作者： Sanjay Jain Liming Pei Jeffrey M Spraggins Michael Angelo James P Carson Nils Gehlenborg Fiona Ginty Joana P Gonçalves James S Hagood John W Hickey Neil L Kelleher Louise C Laurent Shin Lin Yiing Lin Huiping Liu Alexandra Naba Ernesto S Nakayasu Wei-Jun Qian Andrea Radtke Paul Robson Brent R Stockwell Raf Van de Plas Ioannis S Vlachos Mowei Zhou Katy Börner Michael P Snyder Department of Medicine Washington University School of Medicine St Louis MO USA. sanjayjain@wustl.edu. Department of Pediatrics Washington University School of Medicine St Louis MO USA. sanjayjain@wustl.edu. Department of Pathology and Immunology Washington University School of Medicine St. Louis MO USA. sanjayjain@wustl.edu. Center for Mitochondrial and Epigenomic Medicine Department of Pathology and Laboratory Medicine Children's Hospital of Philadelphia and Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. lpei@pennmedicine.upenn.edu. Department of Cell and Developmental Biology and the Mass Spectrometry Research Center Vanderbilt University School of Medicine Nashville TN USA. jeff.spraggins@vanderbilt.edu. Department of Pathology Stanford School of Medicine Stanford CA USA. Texas Advanced Computing Center University of Texas at Austin Austin TX USA. Department of Biomedical Informatics Harvard Medical School Boston MA USA. GE Research Center Niskayuna NY USA. Department of Intelligent Systems Delft University of Technology Delft Netherlands. Department of Pediatrics (Pulmonology) and Program for Rare and Interstitial Lung Disease University of North Carolina at Chapel Hill Chapel Hill NC USA. Department of Microbiology and Immunology Stanford University Stanford CA USA. Departments of Medicine Chemistry and Molecular Biosciences Northwestern University Evanston IL USA. Department of Obstetrics Gynecology and Reproductive Sciences University of California San Diego La Jolla CA USA. Division of Cardiology University of Washington School of Medicine Seattle WA USA. Department of Surgery Washington University School of Medicine St Louis MO USA. Departments of Pharmacology Medicine (Hematology and Oncology) Lurie Cancer Center Northwestern University Feinberg School of Medicine Chicago IL USA. Department of Physiology and Biophysics University of Illinois at Chicago Chicago IL USA. Biological Sciences Division

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Realistic modeling of optogenetic neuronal excitation in light-scattering brain tissue

Realistic modeling of optogenetic neuronal excitation in lig...

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Cancer Imaging and Therapy, CANCER 2016

作者： Yona, Guy Weissler, Yonatan Meitav, Nizan Guzi, Eliran Rifold, Dalia Kahn, Itamar Shoham, Shy Autonomous System Program Technion - Israel Institute of Technology Haifa32000 Israel Faculty of Biomedical Engineering Technion - Israel Institute of Technology Haifa32000 Israel Rappaport Faculty of Medicine and Institute Technion - Israel Institute of Technology Haifa32000 Israel

We introduce a realistic simulation of optogentic modulation, which includes an analytical model for the light distribution in brain tissue and a neuronal biophysical model, highlighting the importance of indirect exc... 详细信息

ISBN: (纸本)9781943580101

关键词： Light scattering

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