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第二十一届国际复合材料大会

作者： B.Mayoral E.Harkin-Jones N.Khanam M.A.AlMaadeed M.Ouederni A.Hamilton D.Sun School of Mechanical and Aerospace Engineering Queen's University Belfast School of Engineering University of Ulster Jordanstown Center for Advanced Materials Qatar University Materials Science and Technology Program Qatar University

During moulding processes such as thermoforming and blow moulding, heated polymer materials are subjected to rapid biaxial deformation as they are drawn into the shape of a *** is therefore essential to accurately measure and model this behaviour for new materials subjected to these *** this paper, the characterization of biaxially stretched polypropylene (PP)/graphene nanoplatelet (GNP)

关键词： GNP CHARACTERIZING BIAXIALLY STRETCHED POLYPROPYLENE/GRAPHENE NANOPLATELET COMPOSITES

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Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021

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The Lancet 2023年第10397期402卷 203-234页

作者： Ong, Kanyin Liane Stafford, Lauryn K. McLaughlin, Susan A. Boyko, Edward J. Vollset, Stein Emil Smith, Amanda E. Dalton, Bronte E. Duprey, Joe Cruz, Jessica A. Hagins, Hailey Lindstedt, Paulina A. Aali, Amirali Abate, Yohannes Habtegiorgis Abate, Melsew Dagne Abbasian, Mohammadreza Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Mohsen ElHafeez, Samar Abd Abd-Rabu, Rami Abdulah, Deldar Morad Abdullah, Abu Yousuf Md Abedi, Vida Abidi, Hassan Aboagye, Richard Gyan Abolhassani, Hassan Abu-Gharbieh, Eman Abu-Zaid, Ahmed Adane, Tigist Demssew Adane, Denberu Eshetie Addo, Isaac Yeboah Adegboye, Oyelola A. Adekanmbi, Victor Adepoju, Abiola Victor Adnani, Qorinah Estiningtyas Sakilah Afolabi, Rotimi Felix Agarwal, Gina Aghdam, Zahra Babaei Agudelo-Botero, Marcela Arriagada, Constanza Elizabeth Aguilera Agyemang-Duah, Williams Ahinkorah, Bright Opoku Ahmad, Danish Ahmad, Rizwan Ahmad, Sajjad Ahmad, Aqeel Ahmadi, Ali Ahmadi, Keivan Ahmed, Ali Ahmed, Luai A. Ahmed, Syed Anees Ajami, Marjan Akinyemi, Rufus Olusola Al Hamad, Hanadi Al Hasan, Syed Mahfuz AL-Ahdal, Tareq Mohammed Ali Alalwan, Tariq A. Al-Aly, Ziyad AlBataineh, Mohammad T. Alcalde-Rabanal, Jacqueline Elizabeth Alemi, Sharifullah Ali, Hassam Alinia, Tahereh Aljunid, Syed Mohamed Almustanyir, Sami Al-Raddadi, Rajaa M. Alvis-Guzman, Nelson Amare, Firehiwot Ameyaw, Edward Kwabena Amiri, Sohrab Amusa, Ganiyu Adeniyi Andrei, Catalina Liliana Anjana, Ranjit Mohan Ansar, Adnan Ansari, Golnoosh Ansari-Moghaddam, Alireza Anyasodor, Anayochukwu Edward Arabloo, Jalal Aravkin, Aleksandr Y. Areda, Demelash Arifin, Hidayat Arkew, Mesay Armocida, Benedetta Arnlov, Johan Artamonov, Anton A. Arulappan, Judie Aruleba, Raphael Taiwo Arumugam, Ashokan Aryan, Zahra Asemu, Mulu Tiruneh Asghari-Jafarabadi, Mohammad Askari, Elaheh Asmelash, Daniel Astell-Burt, Thomas Athar, Mohammad Athari, Seyyed Shamsadin Atout, Maha Moh'd Wahbi Avila-Burgos, Leticia Awaisu, Ahmed Azadnajafabad, Sina Darshan, B.B. Babamohamadi, Hassan Badar, Muhammad Badawi, Alaa Badiye, Ashish D. Baghcheghi, Nayereh Baghe Institute for Health Metrics and Evaluation School of Medicine General Medicine Service Department of Veterans Affairs Seattle WA United States Department of Health Metrics Sciences School of Medicine Faculty of Medicine France Department of Clinical Governance and Quality Improvement Aleta Wondo Hospital Aleta Wondo Ethiopia Department of Nursing Woldia University Woldia Ethiopia Department of Nursing Department of Orthopedic Surgery Orthopaedic Surgery Social Determinants of Health Research Center Non-communicable Diseases Research Center Epidemiology Department Evidence-Based Practice Center Community and Maternity Nursing Unit University of Duhok Duhok Iraq School of Planning Faculty of Environment Department of Public Health Sciences Penn State College of Medicine Pennsylvania State University Hershey PA United States Biocomplexity Institute Virginia Tech Blacksburg VA United States College of Medicine Department of Public Health Laboratory Technology Sciences Department Department of Family and Community Health University of Health and Allied Sciences Ho Ghana Research Center for Immunodeficiencies Department of Biosciences and Nutrition Karolinska University Hospital Huddinge Sweden Clinical Sciences Department Department of Surgery Department of Surgery Department of Obstetrics & Gynecology College of Graduate Health Sciences University of Tennessee Memphis TN United States Department of Obstetrics & Gynecology Department of Clinical and Psychosocial Epidemiology Department of Anesthesia and Critical Care Centre for Social Research in Health Quality and Systems Performance Unit Cancer Institute NSW Sydney NSW Australia Department of Public Health and Tropical Medicine HIV and Infectious Diseases Department Jhpiego Abuja Nigeria Adolescent Research and Care Department Adolescent Friendly Research Initiative and Care Ado Ekiti Nigeria Department of Epidemiology Department of Epidemiology and Medical Statistics Department of Family Medicine McMaster University

Background: Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. Methods: Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined;these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs;defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims;type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative r

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MS&T 2016 Technical Meeting and Exhibition

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Powder Diffraction 2017年第2期32卷 159-160页

作者： Izaak Williamson Lan Li Micron School of Materials Science and Engineering Boise State University Boise 83725 Idaho Center for Advanced Energy Studies Idaho Falls 83401 Idaho

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Prediction of Salinity Variations in a Tidal Estuary Using Artificial Neural Network and Three-Dimensional Hydrodynamic Models

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Computational Water, Energy, and Environmental engineering 2017年第1期6卷 107-128页

作者： Weibo Chen Wencheng Liu Weiche Huang Hongming Liu National Science and Technology Center for Disaster Reduction Taiwan Department of Civil and Disaster Prevention Engineering National United University Taiwan Ph.D. Program in Materials and Chemical Engineering National United University Taiwan

The simulation of salinity at different locations of a tidal river using physically-based hydrodynamic models is quite cumbersome because it requires many types of data, such as hydrological and hydraulic time series at boundaries, river geometry, and adjusted coefficients. Therefore, an artificial neural network (ANN) technique using a back-propagation neural network (BPNN) and a radial basis function neural network (RBFNN) is adopted as an effective alternative in salinity simulation studies. The present study focuses on comparing the performance of BPNN, RBFNN, and three-dimensional hydrodynamic models as applied to a tidal estuarine system. The observed salinity data sets collected from 18 to 22 May, 16 to 22 October, and 26 to 30 October 2002 (totaling 4320 data points) were used for BPNN and RBFNN model training and for hydrodynamic model calibration. The data sets collected from 30 May to 2 June and 11 to 15 November 2002 (totaling 2592 data points) were adopted for BPNN and RBFNN model verification and for hydrodynamic model verification. The results revealed that the ANN (BPNN and RBFNN) models were capable of predicting the nonlinear time series behavior of salinity to the multiple forcing signals of water stages at different stations and freshwater input at upstream boundaries. The salinity predicted by the ANN models was better than that predicted by the physically based hydrodynamic model. This study suggests that BPNN and RBFNN models are easy-to-use modeling tools for simulating the salinity variation in a tidal estuarine system.

关键词： Salinity Variation Artificial Neural Network Backpropagation Algorithm Radial Basis Function Neural Network Three-Dimensional Hydrodynamic Model Tidal Estuary

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Frontispiece: Non-Lithography Hydrodynamic Printing of Micro/Nanostructures on Curved Surfaces

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Angewandte Chemie International Edition 2020年第34期59卷

作者： Prof. Meng Su Feifei Qin Zeying Zhang Bingda Chen Qi Pan Dr. Zhandong Huang Zheren Cai Zhipeng Zhao Prof. Xiaotian Hu Prof. Dominique Derome Prof. Jan Carmeliet Prof. Yanlin Song Key Laboratory of Green Printing CAS Research/Education Center for Excellence in Molecular Sciences Institute of Chemistry Chinese Academy of Sciences (ICCAS) Beijing Engineering Research Center of Nanomaterials for Green Printing Technology Beijing National Laboratory for Molecular Sciences (BNLMS) Beijing 100190 P. R. China University of Chinese Academy of Sciences Beijing 100049 P. R. China Department of Mechanical and Process Engineering Swiss Federal Institute of Technology in Zürich (ETH Zürich) 8093 Zürich Switzerland Laboratory of Multiscale Studies in Building Physics Empa (Swiss Federal Laboratories for Materials Science and Technology) 8600 Dübendorf Switzerland Department of Civil and Building Engineering Université de Sherbrooke Sherbrooke QC J1K 2R1 Canada

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CdTe solar cells employing CdS1-yTey window layers 44

CdTe solar cells employing CdS1-yTey window layers

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44th IEEE Photovoltaic Specialist Conference, PVSC 2017

作者： Li, Jiaojiao Trevithick, Jason R. Ohno, Timothy R. Wolden, Colin A. Materials Science Program Colorado School of Mines GoldenCO80401 United States Department of Chemical and Biological Engineering Colorado School of Mines GoldenCO80401 United States Department of Physics Colorado School of Mines GoldenCO80401 United States

ISBN: (纸本)9781509056057

Oxygenated cadmium sulfide (CdS:O) is an alternative CdTe window layer that delivers improved blue response relative to CdS. Our recent study revealed that CdS: O completely transforms during device fabrication into a layer containing cadmium sulfate clusters interspersed among CdS1-yTey nanocrystals. This motivated us to study CdTe solar cells employing pre-formed CdS1-yTey alloy windows without sulfate present. The intrinsic properties of alloys deposited by co-evaporation are evaluated and then used in place of CdS in standard device fabrication. Interestingly we find that device efficiency is nominally unchanged, but there are significant tradeoffs between current collection, fill factor, and open circuit voltage with alloy composition. XRD analysis of interdiffusion with CdTe is performed and the results show that it is largely suppressed in alloy-based devices. © 2017 IEEE.

关键词： Cadmium sulfide

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Front Cover: Bioderived Molecular Electrodes for Next-Generation Energy-Storage materials (ChemSusChem 9/2020)

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ChemSusChem 2020年第9期13卷 2101-2101页

作者： Mikhail Miroshnikov Kiran Mahankali Dr. Naresh Kumar Thangavel Dr. Sitakanta Satapathy Dr. Leela Mohana Reddy Arava Dr. Pulickel M. Ajayan Dr. George John Department of Chemistry and Biochemistry Center for Discovery and Innovation The City College of New York 85 St. Nicholas Terrace New York NY 10031 USA The PhD Program in Chemistry The Graduate Center of the City University of New York 365 5th Ave New York NY 10016 USA Department of Mechanical Engineering Wayne State University 5050 Anthony Wayne Dr. Detroit MI 48202 USA Department of Materials Science and NanoEngineering Rice University 6100 Main Street Houston TX 77005 USA

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Frontispiz: Non‐Lithography Hydrodynamic Printing of Micro/Nanostructures on Curved Surfaces

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Angewandte Chemie 2020年第34期132卷

作者： Meng Su Feifei Qin Zeying Zhang Bingda Chen Qi Pan Zhandong Huang Zheren Cai Zhipeng Zhao Xiaotian Hu Dominique Derome Jan Carmeliet Yanlin Song Key Laboratory of Green Printing CAS Research/Education Center for Excellence in Molecular Sciences Institute of Chemistry Chinese Academy of Sciences (ICCAS) Beijing Engineering Research Center of Nanomaterials for Green Printing Technology Beijing National Laboratory for Molecular Sciences (BNLMS) Beijing 100190 P. R. China University of Chinese Academy of Sciences Beijing 100049 P. R. China Department of Mechanical and Process Engineering Swiss Federal Institute of Technology in Zürich (ETH Zürich) 8093 Zürich Switzerland Laboratory of Multiscale Studies in Building Physics Empa (Swiss Federal Laboratories for Materials Science and Technology) 8600 Dübendorf Switzerland Department of Civil and Building Engineering Université de Sherbrooke Sherbrooke QC J1K 2R1 Canada

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The TESS-Keck Survey XX: 15 New TESS Planets and a Uniform RV Analysis of all Survey Targets

arXiv

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arXiv 2024年

作者： Polanski, Alex S. Lubin, Jack Beard, Corey Akana Murphy, Joseph M. Rubenzahl, Ryan Hill, Michelle L. Crossfield, Ian J.M. Chontos, Ashley Robertson, Paul Isaacson, Howard Kane, Stephen R. Ciardi, David R. Batalha, Natalie M. Dressing, Courtney Fulton, Benjamin Howard, Andrew W. Huber, Daniel Petigura, Erik A. Weiss, Lauren M. Angelo, Isabel Behmard, Aida Blunt, Sarah Brinkman, Casey L. Dai, Fei Dalba, Paul A. Fetherolf, Tara Giacalone, Steven Hirsch, Lea A. Holcomb, Rae Kosiarek, Molly R. Mayo, Andrew W. MacDougall, Mason G. Močnik, Teo Pidhorodetska, Daria Rice, Malena Rosenthal, Lee J. Scarsdale, Nicholas Turtelboom, Emma V. Tyler, Dakotah Van Zandt, Judah Yee, Samuel W. Coria, David R. Dulz, Shannon D. Hartman, Joel D. Householder, Aaron Lange, Sarah Langford, Andrew Louden, Emma M. Siegel, Jared C. Gilbert, Emily A. Gonzales, Erica J. Schlieder, Joshua E. Boyle, Andrew W. Christiansen, Jessie L. Clark, Catherine A. Fernandes, Rachel B. Lund, Michael B. Savel, Arjun B. Gill, Holden Beichman, Charles Matson, Rachel Matthews, Elisabeth C. Furlan, E. Howell, Steve B. Scott, Nicholas J. Everett, Mark E. Livingston, John H. Ershova, Irina O. Cheryasov, Dmitry V. Safonov, Boris Lillo-Box, Jorge Barrado, David Morales-Calderón, María Department of Physics and Astronomy University of Kansas LawrenceKS66045 United States Department of Physics and Astronomy University of California IrvineCA92697 United States Department of Physics & Astronomy University of California Los Angeles Los AngelesCA90095 United States Department of Astronomy and Astrophysics University of California Santa CruzCA95060 United States Department of Astronomy California Institute of Technology PasadenaCA91125 United States Department of Earth and Planetary Sciences University of California RiversideCA92521 United States Department of Astrophysical Sciences Princeton University 4 Ivy Lane PrincetonNJ08540 United States Institute for Astronomy University of Hawai‘i 2680 Woodlawn Drive HonoluluHI96822 United States Department of Astronomy University of California Berkeley BerkeleyCA94720 United States Centre for Astrophysics University of Southern Queensland ToowoombaQLD Australia NASA Exoplanet Science Institute Caltech-IPAC 1200 E. California Blvd. PasadenaCA91125 United States School of Physics University of Sydney NSW2006 Australia Department of Physics and Astronomy University of Notre Dame Notre DameIN46556 United States Department of Physics and Astronomy University of California Los AngelesCA90095 United States Mani L. Bhaumik Institute for Theoretical Physics University of California Los AngelesCA90095 United States Department of Astrophysics American Museum of Natural History 200 Central Park West ManhattanNY10024 United States CIERA Northwestern University EvanstonIL60201 United States Institute for Astronomy University of Hawai’i HonoluluHI96822 United States Division of Geological and Planetary Science California Institute of Technology PasadenaCA91125 United States NASA Sagan Fellow Department of Physics California State University San MarcosCA92096 United States University of Toronto Mississauga 3359 Mississauga Road MississaugaONL5L 1C6 Canada Department

The Transiting Exoplanet Survey Satellite (TESS) has discovered hundreds of new worlds, with TESS planet candidates now outnumbering the total number of confirmed planets from Kepler. Owing to differences in survey design, TESS continues to provide planets that are better suited for subsequent follow-up studies, including mass measurement through radial velocity (RV) observations, compared to Kepler targets. In this work, we present the TESS-Keck Survey’s (TKS) Mass Catalog: a uniform analysis of all TKS RV survey data which has resulted in mass constraints for 126 planets and candidate signals. This includes 58 mass measurements that have reached ≥ 5σ precision. We confirm or validate 32 new planets from the TESS mission either by significant mass measurement (15) or statistical validation (17), and we find no evidence of likely false positives among our entire sample. This work also serves as a data release for all previously unpublished TKS survey data, including 9,204 RV measurements and associated activity indicators over our three year survey. We took the opportunity to assess the performance of our survey, and found that we achieved many of our goals including measuring the mass of 38 small ( © 2024, CC BY.

关键词： Satellites

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Live‐Cell Imaging: A Cyclometalated Iridium (III) Complex as a Microtubule Probe for Correlative Super‐Resolution Fluorescence and Electron Microscopy (Adv. Mater. 39/2020)

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Advanced materials 2020年第39期32卷

作者： Xiaohe Tian Cesare De Pace Lorena Ruiz‐Perez Bo Chen Rina Su Mingzhu Zhang Ruilong Zhang Qiong Zhang Qin Wang Hongping Zhou Jieying Wu Zhongping Zhang Yupeng Tian Giuseppe Battaglia School of Life Science Anhui University Hefei 230000 P. R. China Department of Chemistry Anhui University Hefei 230000 P. R. China Institute of Physical Science and Information Technology Anhui University Hefei 230000 P. R. China Department of Chemistry University College London London WC1H 0AJ UK Institute for the Physics of Living Systems University College London London WC1E 6BT UK EPSRC/JEOL Centre for Liquid Phase Electron Microscopy University College London London WC1H 0AJ UK School of Materials Science and Engineering Tongji University Shanghai 201804 China Biotechnology Centre Anhui Agriculture University Hefei 230036 China CAS Center for Excellence in Nanoscience Institute of Intelligent Machines Chinese Academy of Science Hefei 230031 China Institute for Bioengineering of Catalonia The Barcelona Institute for Science and Technology (BIST) Barcelona 08007 Spain Catalan Institution for Research and Advanced Studies Barcelona 08010 Spain

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