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Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease Study (vol 2, pg 144, 2021)

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LANCET GLOBAL HEALTH 2021年第4期9卷 E408-E408页

作者： Steinmetz, Jaimie D. Vision and Eye Research Institute Anglia Ruskin University Cambridge United Kingdom Biomedical Informatics Seoul National University Hospital Seoul South Korea Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Institute of Health Services Research Yonsei University Seoul South Korea Department of Ophthalmology University of Washington Seattle WA United States Department of Mathematics Imperial College London London United Kingdom WHO Collaborating Centre for Public Health Education and Training Imperial College London London United Kingdom Department of Primary Care and Public Health Imperial College London London United Kingdom School of Population and Global Health University of Melbourne Carlton VIC Australia School of Optometry and Vision Science UNSW Sydney NSW Australia Brien Holden Vision Institute Sydney Australia Department of Ophthalmology University of Adelaide Adelaide SA Australia Department of Parasitology and Mycology Jahrom University of Medical Sciences Jahrom Iran Department of Clinical Sciences University of Sharjah Sharjah United Arab Emirates Ophthalmic Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Department of Ophthalmology Shahid Beheshti University of Medical Sciences Tehran Iran Research Institute for Endocrine Sciences Shahid Beheshti University of Medical Sciences Tehran Iran Ophthalmic Epidemiology Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Health Services Management Department Qazvin University of Medical Sciences Qazvin Iran Department of Systems Populations and Leadership University of Michigan Ann Arbor MI United States Department of Medicine Sofia Ismail Memorial Medical Centre Bogura Bangladesh The Fred Hollows Foundation Sydney NSW Australia Berhan Public Health & Eye Care Consultancy Addis A

Hospital El Salvador: a novel paradigm of intensive care in response to COVID-19 in central America. Lancet Glob Health 2021;9: e241?42?In this Comment, the conflict of interest statement should have included the following: ?By virtue of their roles within a public hospital or the Ministry of Health, MB, LC, WH, and XS are government employees. The findings and conclusions in the Comment are only those of the authors.? This correction has been made as of Feb 26, 2021.

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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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Immobilization of NiS nanoparticles on N-doped carbon fiber aerogels as advanced electrode materials for supercapacitors

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Nano Research 2016年第9期9卷 2747-2759页

作者： Youfang Zhang Lizeng Zuo Longsheng Zhang Jiajie Yan Hengyi Lu Wei Fan Tianxi Liu State Key Laboratory of Molecular Engineering of Polymers Department of Macromolecular ScienceFudan University220 Handan RoadShanghai 200433China State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and EngineeringDonghua University2999 North Renmin RoadShanghai 201620China

NiS nanoparticles (NPs) with excellent electrochemical capacitance have attracted considerable attention as cost-effective energy-storage materials for supercapacitors in recent years. Preventing the aggregation and increasing the conductivity of NiS NPs are key to fully realizing their excellent electrochemical properties. In this work, NiS/N-doped carbon fiber aerogel (N-CFA) nanocomposites were obtained easily through the combination of polymerization, carbonization, and a one-step solvothermal reaction. N-CFA derived from polydopamine (PDA)-coated cotton wool was used as a template for the construction of hierarchical NiS/N-CFA nanocomposites, in which NiS NPs are uniformly immobilized on the surface of N-CFA. In this nanostructured system, N-CFA containing abundant nanofibers not only provides active regions for the growth of NiS NPs to prevent their aggregation, but also offers short pathways for the transport of electrons and ions. The electrochemical properties of the obtained NiS/N-CFA nanocomposites were investigated by cyclic voltammetry, galvanostatic charge–discharge, and alternating current impedance measurements. The optimized NiS/N-CFA nanocomposite exhibits a high specific capacitance of 1,612.5 F·g1at a charge/discharge current density of 1 A·g1and excellent rate capacitance retention of 66.7% at 20 A·g1. The excellent electrochemical properties of NiS/N-CFA nanocomposites make these materials promising electrode materials for supercapacitors. [Figure not available: see fulltext.] © 2016, Tsinghua University Press and Springer-Verlag Berlin Heidelberg.

关键词： NiS cotton wool carbon fiber aerogels N-doping supercapacitors

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Using probe molecule FTIR spectroscopy to identify and characterize Pt-group metal based single atom catalysts

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Chinese Journal of Catalysis 2017年第9期38卷 1473-1480页

作者： Chithra Asokan Leo DeRita Phillip Christopher Department of Chemical and Environmental Engineering University of California Riverside Riverside CA 92521 USA Program in Materials Science University of CaliforniaRiverside Riverside CA 92521 USA UCR Center for Catalysis University of California RiversideRiverside CA 92521 USA

单原子催化是提高贵金属利用率的有效手段,而表征单原子催化剂是理解单原子催化的基础.探针分子红外光谱可用于识别和定量催化剂样品中孤立的Pt族金属物种的浓度,从而得到负载的孤立的Pt族金属物种的局部几何形状、稳定性、活性及其分散... 详细信息

单原子催化是提高贵金属利用率的有效手段,而表征单原子催化剂是理解单原子催化的基础.探针分子红外光谱可用于识别和定量催化剂样品中孤立的Pt族金属物种的浓度,从而得到负载的孤立的Pt族金属物种的局部几何形状、稳定性、活性及其分散性.本文讨论了该技术用于识别和表征含负载型孤立的Pt族金属原子催化剂的效能、应用、以及未来的发展方向.

关键词：单原子催化剂铂族金属红外光谱表征载体效应

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Outside Front Cover: Biotechnology Journal 9/2019

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Biotechnology Journal 2019年第9期14卷

作者： Gregory G. Y. Guirimand Takahiro Bamba Mami Matsuda Kentaro Inokuma Kenta Morita Yuki Kitada Yuma Kobayashi Takahiro Yukawa Kengo Sasaki Chiaki Ogino Tomohisa Hasunuma Akihiko Kondo Graduate School of Science Technology and Innovation Kobe University 1‐1 Rokkodai 657‐8501 Nada Kobe Japan Engineering Biology Research Center Kobe University 1‐1 Rokkodai 657‐8501 Nada Kobe Japan Department of Chemical Science and Engineering Graduate School of Engineering Kobe University 1‐1 Rokkodai 657‐8501 Nada Kobe Japan Research Facility Center for Science and Technology Kobe University 1‐1 Rokkodai 657‐8501 Nada Kobe Japan Biomass Engineering Program RIKEN 1‐7‐22 Suehiro‐cho 230‐0045 Tsurumi‐ku Yokohama Kanagawa Japan

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Publisher Correction: Long non-coding RNA SNHG6 couples cholesterol sensing with mTORC1 activation in hepatocellular carcinoma

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Nature metabolism 2022年第9期4卷 1215页

作者： Fangzhou Liu Tian Tian Zhen Zhang Shanshan Xie Jiecheng Yang Linyu Zhu Wen Wang Chengyu Shi Lingjie Sang Kaiqiang Guo Zuozhen Yang Lei Qu Xiangrui Liu Jian Liu Qingfeng Yan Huai-Qiang Ju Wenqi Wang Hai-Long Piao Jianzhong Shao Tianhua Zhou Aifu Lin MOE Laboratory of Biosystem Homeostasis and Protection College of Life Sciences Zhejiang University Hangzhou China. Cancer Center Zhejiang University Hangzhou China. Key Laboratory for Cell and Gene Engineering of Zhejiang Province Zhejiang China. Department of Medical Biochemistry and Molecular Biology School of Medicine Jinan University Guangzhou China. Department of Cell Biology and Program in Molecular Cell Biology Zhejiang University School of Medicine Hangzhou China. Department of Gastroenterology The Second Affiliated Hospital School of Medicine and Institute of Gastroenterology Zhejiang University Hangzhou China. CAS Key Laboratory of Separation Science for Analytical Chemistry Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian China. Fujian Provincial Key Laboratory of Innovative Drug Target Research and State Key Laboratory of Cellular Stress Biology School of Pharmaceutical Sciences Xiamen University Xiamen China. Zhejiang University-University of Edinburgh Institute Zhejiang University School of Medicine Haining China. Sun Yat-sen University Cancer Center State Key Laboratory of Oncology in South China Collaborative Innovation Center for Cancer Medicine Guangzhou China. Department of Developmental and Cell Biology University of California Irvine CA USA. Cancer Center Zhejiang University Hangzhou China. tzhou@***. Department of Cell Biology and Program in Molecular Cell Biology Zhejiang University School of Medicine Hangzhou China. tzhou@***. Department of Gastroenterology The Second Affiliated Hospital School of Medicine and Institute of Gastroenterology Zhejiang University Hangzhou China. tzhou@***. MOE Laboratory of Biosystem Homeostasis and Protection College of Life Sciences Zhejiang University Hangzhou China. linaifu@***. Cancer Center Zhejiang University Hangzhou China. linaifu@***. Key Laboratory for Cell and Gene Engineering of Zhejiang Province Zhejiang China. linaifu@zju.edu.cn. Breast Center of the First Affili

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Warpage and Shrinkage Optimization of Injection-Molded Plastic Spoon Parts for Biodegradable Polymers Using Taguchi, ANOVA and Artificial Neural Network Methods

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Journal of Materials science & Technology 2016年第8期32卷 710-720页

作者： Erfan Oliaei Behzad Shiroud Heidari Seyed Mohammad Davachi Mozhgan Bahrami Saeed Davoodi Iman Hejazi Javad Seyfi Applied Science Nano Research Group ASNARKA P.C. *** Tehran Iran Macromolecular Science and Engineering University of Michigan Ann Arbor Michigan 48109-2136. United States Department of Chemical Engineering Shahrood Branch Islamic Azad University RO. Box 36155-163 Shahrood lran

In this study, it is attempted to give an insight into the injection processability of three self-prepared polymers from A to Z. This work presents material analysis, injection molding simulation, design of ex- periments alongside considering all interaction effects of controlling parameters carefully for green biodegradable polymeric systems, including polylactic acid （PLA）, polylactic acid-thermoplastic poly- urethane （PLA-TPU） and polylactic acid-thermoplastic starch （PLA-TPS）. The experiments were carried out using injection molding simulation software Autodesk Moldflov~~ in order to minimize warpage and volumetric shrinkage for each of the mentioned systems. The analysis was conducted by changing five significant processing parameters, including coolant temperature, packing time, packing pressure, mold temperature and melt temperature. Taguchi＇s [.27 （35） orthogonal array was selected as an efficient method for design of simulations in order to consider the interaction effects of the parameters and reduce spu- rious simulations. Meanwhile, artificial neural network （ANN） was also used for pattern recognition and optimization through modifying the processing conditions. The Taguchi coupled analysis of variance （ANOVA） and ANN analysis resulted in definition of optimum levels for each factor by two completely different methods. According to the results, melting temperature, coolant temperature and packing time had significant influence on the shrinkage and warpage. The ANN optimal level selection for minimiza- tion of shrinkage and/or warpage is in good agreement with ANOVA optimal level selection results. This investigation indicates that PLA-TPU compound exhibits the highest resistance to warpage and shrink- age defects compared to the other studied compounds.

关键词： Injection molding simulation Yaguchi Artificial neural networks Biodegradable plastic Disposable spoons

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Evaluation of ionic liquid treated sisal (agave sisalana) fiber as sorbent in biodiesel spill

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IOP Conference Series: Materials science and engineering 2018年第1期348卷

作者： E Costa A Silva S Mattedi Graduate Program in Chemical Engineering Federal University of Bahia Salvador Bahia Brazil Materials Science and Engineering Department Federal University of Bahia Salvador Bahia Brazil

The global economic development continually demands the use of energy resources, among which various types of oils are widely used. Despite their undeniable economic importance, environmental accidents with these occur frequently. Thus, the search for efficient and low-cost mitigating measures is recurrent. In this context, techniques that use natural adsorbents, such as vegetable fibers, have been studied, since they combine efficiency, selectivity, low cost and sustainability. Studies have been carried out using various types of fibers, natural or chemically treated. The interest in treating the fiber lies in the fact that, changing the chemical structure of the fiber, its oil sorption capacity is increased. Due to the offered advantages, an alternative and promising type of surface treatment using ionic liquids was performed, to the detriment of traditional treatments. Thus, the technical feasibility of the use of sisal fiber treated with ionic liquid for adsorption of biodiesel was studied.

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A novel wet-spinning method of manufacturing continuous bio-inspired composites based on graphene oxide and sodium alginate

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Nano Research 2016年第3期9卷 735-744页

作者： Xiaozhen Hu Sangeetha Rajendran Yuansi Yao Zheng Liu Karthikeyan Gopalsamy Li Peng Chao Gao State Key Laboratory for Modification of Chemical Fibers and Polymer Materials Donghua University Shanghai 201620 China MOE Key Laboratory of Macromolecular Synthesis and Functionalization Department of Polymer Science and Engineering Zhejiang University Hangzhou 310027 China

Nacre is a lightweight, strong, stiff, and tough material, which makes it a mimicking object for material design. Many attempts to mimic nacre by various methods resulted in the synthesis of artificial nacre with excellent properties. However, the fabrication procedure was very laborious and time-consuming due to the sequential steps, and only limited-sized materials could be obtained. Hence, a novel design enabling scalable production of high-performance artificial nacre with uniform layered structures is urgently needed. We developed a novel wet-spinning assembly technique to rapidly manufacture continuous nacre- mimic graphene oxide （GO, brick）-sodium alginate （SA, mortar） films and fibers with excellent mechanical properties. At high concentrations, the GO-SA mixtures spontaneously produced liquid crystals （LCs） due to the template effect of GO, and continuous, 6 m long nacre-like GO-SA films were wet-spun from the obtained GO-SA liquid crystalline （LC） dope with a speed of up to 1.5 m/min. The assembled macroscopic GO-SA composites inherited the alignment of the GO sheets from the LC phase, and their mechanical properties were investigated by a joint experimental-computational study. The tensile tests revealed that the maximum strength （0） and Young＇s modulus （E） of the obtained films reached 239.6 MPa and 22.4 GPa, while the maximum values of o and E for the fibers were 784.9 MPa and 58 GPa, respectively. The described wet-spinning assembly method is applicable for a large-scale and fast production of high-performance continuous artificial nacre.

关键词： continuous bio-inspired films sodium alginate graphene oxide wet-spinning method

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FungalTraits:a user-friendly traits database of fungi and fungus-like stramenopiles

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Fungal Diversity 2020年第6期105卷 I0001-I0016页

作者： Sergei Põlme Kessy Abarenkov RHenrik Nilsson Björn D.Lindahl Karina Engelbrecht Clemmensen Havard Kauserud Nhu Nguyen Rasmus Kjøller Scott T.Bates Petr Baldrian Tobias Guldberg Frøslev Kristjan Adojaan Alfredo Vizzini Ave Suija Donald Pfister Hans-Otto Baral Helle Järv Hugo Madrid Jenni Nordén Jian-Kui Liu Julia Pawlowska Kadri Põldmaa Kadri Pärtel Kadri Runnel Karen Hansen Karl-Henrik Larsson Kevin David Hyde Marcelo Sandoval-Denis Matthew E.Smith Merje Toome-Heller Nalin N.Wijayawardene Nelson Menolli Jr Nicole K.Reynolds Rein Drenkhan Sajeewa S.N.Maharachchikumbura Tatiana B.Gibertoni Thomas Læssøe William Davis Yuri Tokarev Adriana Corrales Adriene Mayra Soares Ahto Agan Alexandre Reis Machado Andrés Argüelles-Moyao Andrew Detheridge Angelina de Meiras-Ottoni Annemieke Verbeken Arun Kumar Dutta Bao-Kai Cui C.K.Pradeep César Marín Daniel Stanton Daniyal Gohar Dhanushka N.Wanasinghe Eveli Otsing Farzad Aslani Gareth W.Griffith Thorsten H.Lumbsch Hans-Peter Grossart Hossein Masigol Ina Timling Inga Hiiesalu Jane Oja John Y.Kupagme József Geml Julieta Alvarez-Manjarrez Kai Ilves Kaire Loit Kalev Adamson Kazuhide Nara Kati Küngas Keilor Rojas-Jimenez Krišs Bitenieks Laszlo Irinyi LászlóGNagy Liina Soonvald Li-Wei Zhou Lysett Wagner M.Catherine Aime MaarjaÖpik María Isabel Mujica Martin Metsoja Martin Ryberg Martti Vasar Masao Murata Matthew PNelsen Michelle Cleary Milan C.Samarakoon Mingkwan Doilom Mohammad Bahram Niloufar Hagh-Doust Olesya Dulya Peter Johnston Petr Kohout Qian Chen Qing Tian Rajasree Nandi Rasekh Amiri Rekhani Hansika Perera Renata dos Santos Chikowski Renato L.Mendes-Alvarenga Roberto Garibay-Orijel Robin Gielen Rungtiwa Phookamsak Ruvishika S.Jayawardena Saleh Rahimlou Samantha C.Karunarathna Saowaluck Tibpromma Shawn P.Brown Siim-Kaarel Sepp Sunil Mundra Zhu-Hua Luo Tanay Bose Tanel Vahter Tarquin Netherway Teng Yang Tom May Torda Varga Wei Li Victor Rafael Matos Coimbra Virton Rodrigo Targino de Oliveira Vitor Xavier de Lima Vladimir S.Mikryukov Yongzhong Lu Yosuke Matsuda Yumiko Miyamoto Urm Institute of Ecology and Earth Sciences University of Tartu14A Ravila50411 TartuEstonia Natural History Museum University of Tartu46 Vanemuise Str51003 TartuEstonia Gothenburg Global Biodiversity Centre Box 46140530 GothenburgSweden Department of Biological and Environmental Sciences University of GothenburgGothenburgSweden Department of Soil and Environment Swedish University of Agricultural SciencesBox 701475007 UppsalaSweden Department of Forest Mycology and Plant Pathology Swedish University of Agricultural SciencesBox 702675007 UppsalaSweden Section for Genetics and Evolutionary Biology(EvoGene) Department of BiosciencesUniversity of OsloP.O.Box 1066BlindernNO-0316 OsloNorway University of Hawaiʻi at Mānoa 3190 Maile WaySt.John 102HonoluluHIUSA Department of Biology University of CopenhagenUniversitetsparken 152100 CopenhagenØDenmark Purdue University Northwest WestvilleIN 46391USA Institute of Microbiology Czech Academy of SciencesVidenska 108314220 Praha 4Czech Republic GLOBE Institute University of CopenhagenØster Farimagsgade 5KH7.2.321353 CopenhagenDenmark Dipartimento di Scienze della Vita e Biologia dei Sistemi Universitàdi TorinoViale Mattioli 2510125 TorinoItaly Department of Organismic and Evolutionary Biology and Farlow Library and Herbarium Harvard University22 Divinity AveCambridgeMA 02138USA Blaihofstr.42 72074 TübingenGermany SYNLAB Estonia Veerenni 53aTallinn 11313Estonia Escuela de Tecnología Médica Universidad Santo TomásLos Carreras 753OsornoChile Centro de Genómica y Bioinformática Universidad MayorCamino La Pirámide 5750HuechurabaSantiagoChile Norwegian Institute for Nature Research(NINA) Sognsveien 680855 OsloNorway School of Life Science and Technology University of Electronic Science and Technology of ChinaChengdu 611731People’s Republic of China Evolutionary Biology Faculty of BiologyBiological and Chemical Research CentreUniversity of Warsawul.Zwirki i Wigury 10102-089 WarsawPoland Department of Botany Swedish Museum of

The cryptic lifestyle of most fungi necessitates molecular identification of the guild in environmental *** the past decades,rapid development and affordability of molecular tools have tremendously improved insights of the fungal diversity in all ecosystems and ***,in spite of the progress of molecular methods,knowledge about functional properties of the fungal taxa is vague and interpretation of environmental studies in an ecologically meaningful manner remains *** order to facilitate functional assignments and ecological interpretation of environmental studies we introduce a user friendly traits and character database FungalTraits operating at genus and species hypothesis *** the information from previous efforts such as FUNGuild and FunFun together with involvement of expert knowledge,we reannotated 10,210 and 151 fungal and Stramenopila genera,*** resulted in a stand-alone spreadsheet dataset covering 17 lifestyle related traits of fungal and Stramenopila genera,designed for rapid functional assignments of environmental *** order to assign the trait states to fungal species hypotheses,the scientific community of experts manually categorised and assigned available trait information to 697,413 fungal ITS *** the basis of those sequences we were able to summarise trait and host information into 92,623 fungal species hypotheses at 1%dissimilarity threshold.

关键词： Fungal traits Trophic modes Function Guild Bioinformatics High-throughput sequencing Community ecology

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