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Using the Technology Acceptance Model to Analyze the learning Outcome of Open Education Resources

Chinese Business Review 2018年第9期17卷 479-487页

作者： Hsien-sheng Hsiao Pei-wun Wang Shao-yu Lu National Taiwan Normal University Taiwan Chinese Language and Technology CenterNational Taiwan Normal UniversityTaiwan Institute for Research Excellence in Learning SciencesNational Taiwan Normal UniversityTaiwan National Taiwan Normal University Taiwan

Along with the development of information and communications technology,open educational resources were widely applied in training *** use of these resources facilitates the access to knowledge by enabling learners to transcend time and *** this way,learners are able to obtain new knowledge more actively and efficiently than *** Technology Acceptance Model(TAM)as the theoretical foundation,this study aims to explore the learning outcome of using open educational resources with the perceived convenience as the external *** this study,the open educational resources were defined as online courses on the Open Course Ware(OCW)and Massive Open Online Courses(MOOCs),on which the learners choose courses themselves and study without the impact from people,matters,time,space,and things with the help of the *** achieve the objectives of the study,the researchers conducted a survey with the participants who had already used the open educational *** total,124 valid samples were *** Partial Least Squares(PLS)statistical method was used to carry out the ***,the model of this study has good prediction and explanatory *** the data analysis,the study found that the perceived convenience exerts a positive impact on the use of the open educational *** addition,among the four TAM variables,the perceived usefulness does not exert a significant impact on the behavioral intention to use,but the other three TAM variables all have a significant impact on the behavioral intention.

关键词： Technology Acceptance Model(TAM) perceived convenience open educational resources learning outcome

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EMPRESS. XII. Statistics on the Dynamics and Gas Mass Fraction of Extremely-Metal Poor Galaxies

arXiv

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arXiv 2023年

作者： Xu, Yi Ouchi, Masami Isobe, Yuki Nakajima, Kimihiko Ozaki, Shinobu Bouché, Nicolas F. Wise, John H. Emsellem, Eric Kusakabe, Haruka Hattori, Takashi Nagao, Tohru Chiaki, Gen Fukushima, Hajime Harikane, Yuichi Hayashi, Kohei Hirai, Yutaka Kim, Ji Hoon Maseda, Michael V. Nagamine, Kentaro Shibuya, Takatoshi Sugahara, Yuma Yajima, Hidenobu Aoyama, Shohei Fujimoto, Seiji Fukushima, Keita Hatano, Shun Inoue, Akio K. Ishigaki, Tsuyoshi Kawasaki, Masahiro Kojima, Takashi Komiyama, Yutaka Koyama, Shuhei Koyama, Yusei Lee, Chien-Hsiu Matsumoto, Akinori Mawatari, Ken Moriya, Takashi J. Motohara, Kentaro Murai, Kai Nishigaki, Moka Onodera, Masato Ono, Yoshiaki Rauch, Michael Saito, Tomoki Sasaki, Rin Suzuki, Akihiro Takeuchi, Tsutomu T. Umeda, Hiroya Umemura, Masayuki Watanabe, Kuria Yabe, Kiyoto Zhang, Yechi Institute for Cosmic Ray Research The University of Tokyo 5-1-5 Kashiwanoha Chiba Kashiwa277-8582 Japan Department of Astronomy Graduate School of Science The University of Tokyo 7-3-1 Hongo Bunkyo Tokyo113-0033 Japan National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka Tokyo181-8588 Japan University of Tokyo Chiba Kashiwa277-8583 Japan Department of Physics Graduate School of Science The University of Tokyo 7-3-1 Hongo Bunkyo Tokyo113-0033 Japan Univ Lyon Univ Lyon1 ENS de Lyon CNRS Centre de Recherche Astrophysique de Lyon UMR5574 Saint-Genis-LavalF-69230 France Center for Relativistic Astrophysics School of Physics Georgia Institute of Technology AtlantaGA30332 United States European Southern Observatory Karl-Schwarzschild-Straße 2 Garching85748 Germany Observatoire de Genéve Université de Genéve 51 Ch. des Maillettes Versoix1290 Switzerland 650 North A’ohoku Place HiloHI96720 United States Research Center for Space and Cosmic Evolution Ehime University Bunkyo-cho 2-5 Ehime Matsuyama790-8577 Japan Center for Computational Sciences University of Tsukuba Ten-nodai 1-1-1 Tsukuba Ibaraki305-8577 Japan Department of Physics and Astronomy University College London Gower Street LondonWC1E 6BT United Kingdom National Institute of Technology Ichinoseki College Hagisho Ichinoseki021-8511 Japan Astronomical Institute Tohoku University 6-3 Aoba Aramaki Aoba-ku Miyagi Sendai980-8578 Japan Department of Physics and Astronomy University of Notre Dame 225 Nieuwland Science Hall Notre DameIN46556 United States Astronomy Program Department of Physics and Astronomy Seoul National University 1 Gwanak-ro Gwanak-gu Seoul08826 Korea Republic of SNU Astronomy Research Center Seoul National University 1 Gwanak-ro Gwanak-gu Seoul08826 Korea Republic of Department of Astronomy University of Wisconsin-Madison 475 N. Charter Street MadisonWI53706 United States Theoretical Astrophysics Department of Earth & Space S

We present demography of the dynamics and gas-mass fraction of 33 extremely metal-poor galaxies (EMPGs) with metallicities of 0.015 − 0.195 Zo and low stellar masses of 104 − 108 Mo in the local universe. We conduct deep optical integral-field spectroscopy (IFS) for the low-mass EMPGs with the medium high resolution (R = 7500) grism of the 8m-Subaru FOCAS IFU instrument by the EMPRESS 3D survey, and investigate Hα emission of the EMPGs. Exploiting the resolution high enough for the low-mass galaxies, we derive gas dynamics with the Hα lines by the fitting of 3-dimensional disk models. We obtain an average maximum rotation velocity (vrot) of 15 ± 3 km s−1 and an average intrinsic velocity dispersion (σ0) of 27 ± 10 km s−1 for 15 spatially resolved EMPGs out of the 33 EMPGs, and find that all of the 15 EMPGs have vrot/σ0 rot/σ0 with the decreasing stellar mass and metallicity. We derive the gas mass fraction (fgas) for all of the 33 EMPGs, and find no clear dependence on stellar mass and metallicity. These vrot/σ0 and fgas trends should be compared with young high-z galaxies observed by the forthcoming JWST IFS programs to understand the physical origins of the EMPGs in the local universe. © 2023, CC BY.

关键词： Galaxies

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Author Correction: The evolution of lung cancer and impact of subclonal selection in TRACERx

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Nature 2024年第8022期631卷 E15页

作者： Alexander M Frankell Michelle Dietzen Maise Al Bakir Emilia L Lim Takahiro Karasaki Sophia Ward Selvaraju Veeriah Emma Colliver Ariana Huebner Abigail Bunkum Mark S Hill Kristiana Grigoriadis David A Moore James R M Black Wing Kin Liu Kerstin Thol Oriol Pich Thomas B K Watkins Cristina Naceur-Lombardelli Daniel E Cook Roberto Salgado Gareth A Wilson Chris Bailey Mihaela Angelova Robert Bentham Carlos Martínez-Ruiz Christopher Abbosh Andrew G Nicholson John Le Quesne Dhruva Biswas Rachel Rosenthal Clare Puttick Sonya Hessey Claudia Lee Paulina Prymas Antonia Toncheva Jon Smith Wei Xing Jerome Nicod Gillian Price Keith M Kerr Babu Naidu Gary Middleton Kevin G Blyth Dean A Fennell Martin D Forster Siow Ming Lee Mary Falzon Madeleine Hewish Michael J Shackcloth Eric Lim Sarah Benafif Peter Russell Ekaterini Boleti Matthew G Krebs Jason F Lester Dionysis Papadatos-Pastos Tanya Ahmad Ricky M Thakrar David Lawrence Neal Navani Sam M Janes Caroline Dive Fiona H Blackhall Yvonne Summers Judith Cave Teresa Marafioti Javier Herrero Sergio A Quezada Karl S Peggs Roland F Schwarz Peter Van Loo Daniël M Miedema Nicolai J Birkbak Crispin T Hiley Allan Hackshaw Simone Zaccaria Mariam Jamal-Hanjani Nicholas McGranahan Charles Swanton Cancer Evolution and Genome Instability Laboratory The Francis Crick Institute London UK. Cancer Research UK Lung Cancer Centre of Excellence University College London Cancer Institute London UK. Cancer Genome Evolution Research Group Cancer Research UK Lung Cancer Centre of Excellence University College London Cancer Institute London UK. Cancer Metastasis Laboratory University College London Cancer Institute London UK. Advanced Sequencing Facility The Francis Crick Institute London UK. Computational Cancer Genomics Research Group University College London Cancer Institute London UK. Department of Cellular Pathology University College London Hospitals London UK. Department of Pathology ZAS Hospitals Antwerp Belgium. Division of Research Peter MacCallum Cancer Centre Melbourne Victoria Australia. Department of Histopathology Royal Brompton and Harefield Hospitals Guy's and St Thomas' NHS Foundation Trust London UK. National Heart and Lung Institute Imperial College London London UK. Cancer Research UK Beatson Institute Glasgow UK. School of Cancer Sciences University of Glasgow Glasgow UK. Pathology Department Queen Elizabeth University Hospital NHS Greater Glasgow and Clyde Glasgow UK. Bill Lyons Informatics Centre University College London Cancer Institute London UK. Division of Medicine University College London London UK. Scientific Computing The Francis Crick Institute London UK. Department of Medical Oncology Aberdeen Royal Infirmary NHS Grampian Aberdeen UK. University of Aberdeen Aberdeen UK. Department of Pathology Aberdeen Royal Infirmary NHS Grampian Aberdeen UK. Birmingham Acute Care Research Group Institute of Inflammation and Ageing University of Birmingham Birmingham UK. University Hospital Birmingham NHS Foundation Trust Birmingham UK. Institute of Immunology and Immunotherapy University of Birmingham Birmingham UK. Queen Elizabeth University Hospital Glasgow UK. University of Leicester Leicester UK. University Hospitals of

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Genome-wide association study of long COVID

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Nature genetics 2025年 2025 May 21页

作者： Vilma Lammi Tomoko Nakanishi Samuel E Jones Shea J Andrews Juha Karjalainen Beatriz Cortés Heath E O'Brien Ana Ochoa-Guzman Brian E Fulton-Howard Martin Broberg Hele H Haapaniemi Masahiro Kanai Matti Pirinen Axel Schmidt Ruth E Mitchell Abdou Mousas Massimo Mangino Alicia Huerta-Chagoya Nasa Sinnott-Armstrong Elizabeth T Cirulli Marc Vaudel Alex S F Kwong Amit K Maiti Minttu M Marttila Daniel C Posner Alexis A Rodriguez Chiara Batini Francesca Minnai Anna R Dearman C A Robert Warmerdam Celia B Sequeros Thomas W Winkler Daniel M Jordan Raimonds Rešcenko Lorenzo Miano Jacqueline M Lane Ryan K Chung Beatriz Guillen-Guio Olivia C Leavy Laura Carvajal-Silva Kevin Aguilar-Valdés Erika Frangione Lindsay Guare Ekaterina Vergasova Eirini Marouli Pasquale Striano Ummu Afeera Zainulabid Ashutosh Kumar Hajar Fauzan Ahmad Ryuya Edahiro Shuhei Azekawa Shiuh-Wen Luoh Christian Erikstrup Ole B V Pedersen Jordan Lerner-Ellis Alicia Colombo Joseph J Grzymski Makoto Ishii Yukinori Okada Noam D Beckmann Meena Kumari Ralf Wagner Iris M Heid Catherine John Patrick J Short Per Magnus Laura Ansone Luca V C Valenti Sulggi A Lee Louise V Wain Ricardo A Verdugo Karina Banasik Frank Geller Lude H Franke Alexander Rakitko Emma L Duncan Alessandra Renieri Konstantinos K Tsilidis Rafael de Cid Ahmadreza Niavarani Erik Abner Teresa Tusié-Luna Shefali S Verma George Davey Smith Nicholas J Timpson Ravi K Madduri Kelly Cho Mark J Daly Andrea Ganna Eva C Schulte J Brent Richards Kerstin U Ludwig Michael Marks-Hultström Hugo Zeberg Hanna M Ollila Institute for Molecular Medicine Finland (FIMM) Helsinki Institute of Life Science (HiLIFE) University of Helsinki Helsinki Finland. Department of Human Genetics McGill University Montreal Quebec Canada. Centre for Clinical Epidemiology Department of Medicine Lady Davis Institute Jewish General Hospital McGill University Montreal Quebec Canada. Kyoto-McGill International Collaborative Program in Genomic Medicine Graduate School of Medicine Kyoto University Kyoto Japan. Department of Genome Informatics Graduate School of Medicine the University of Tokyo Tokyo Japan. Research Fellow Japan Society for the Promotion of Science Tokyo Japan. Department of Psychiatry and Behavioral Sciences University of California San Francisco San Francisco CA USA. Program in Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA USA. Stanley Center for Psychiatric Research Broad Institute of Harvard and MIT Cambridge MA USA. Analytic and Translational Genetics Unit Massachusetts General Hospital Boston MA USA. Genomes for Life-GCAT Lab CORE Program Germans Trias i Pujol Research Institute (IGTP) Badalona Spain. Grup de REcerca en Impacte de les Malalties Cròniques i les seves Trajectòries (GRIMTra) Barcelona Spain. Sano Genetics Limited London UK. Unidad de Biología Molecular y Medicina Genómica Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán Mexico City Mexico. Genetics and Genomic Sciences Icahn School of Medicine at Mount Sinai New York City NY USA. Broad Institute Cambridge MA USA. Analytical and Translational Genetics Unit Massachusetts General Hospital Harvard Medical School Boston MA USA. Department of Mathematics and Statistics University of Helsinki Helsinki Finland. Department of Public Health University of Helsinki Helsinki Finland. Institute of Human Genetics University of Bonn School of Medicine and University Hospital Bonn Bonn Germany. MRC Integrative Epidemiology Unit University of Bristol Bristol

Infections can lead to persistent symptoms and diseases such as shingles after varicella zoster or rheumatic fever after streptococcal infections. Similarly, severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) infection can result in long coronavirus disease (COVID), typically manifesting as fatigue, pulmonary symptoms and cognitive dysfunction. The biological mechanisms behind long COVID remain unclear. We performed a genome-wide association study for long COVID including up to 6,450 long COVID cases and 1,093,995 population controls from 24 studies across 16 countries. We discovered an association of FOXP4 with long COVID, independent of its previously identified association with severe COVID-19. The signal was replicated in 9,500 long COVID cases and 798,835 population controls. Given the transcription factor FOXP4's role in lung physiology and pathology, our findings highlight the importance of lung function in the pathophysiology of long COVID.

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LimeSoDa: A dataset collection for benchmarking of machine learning regressors in digital soil mapping

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Geoderma 2025年 459卷

作者： Schmidinger, Jonas Vogel, Sebastian Barkov, Viacheslav Pham, Anh-Duy Gebbers, Robin Tavakoli, Hamed Correa, Jose Tavares, Tiago R. Filippi, Patrick Jones, Edward J. Lukas, Vojtech Boenecke, Eric Ruehlmann, Joerg Schroeter, Ingmar Kramer, Eckart Paetzold, Stefan Kodaira, Masakazu Wadoux, Alexandre M.J.-C. Bragazza, Luca Metzger, Konrad Huang, Jingyi Valente, Domingos S.M. Safanelli, Jose L. Bottega, Eduardo L. Dalmolin, Ricardo S.D. Farkas, Csilla Steiger, Alexander Horst, Taciara Z. Ramirez-Lopez, Leonardo Scholten, Thomas Stumpf, Felix Rosso, Pablo Costa, Marcelo M. Zandonadi, Rodrigo S. Wetterlind, Johanna Atzmueller, Martin Osnabrück University Joint Lab Artificial Intelligence and Data Science Osnabrück Germany Department of Agromechatronics Potsdam Germany Piracicaba Brazil The University of Sydney Sydney Institute of Agriculture Sydney Australia Mendel University in Brno Department of Agrosystems and Bioclimatology Brno Czech Republic Leibniz Institute of Vegetable and Ornamental Crops Next Generation Horticultural Systems Grossbeeren Germany Eberswalde University for Sustainable Development Landscape Management and Nature Conservation Eberswalde Germany —Soil Science and Soil Ecology Bonn Germany Tokyo University of Agriculture and Technology Institute of Agriculture Tokyo Japan LISAH Univ. Montpellier AgroParisTech INRAE IRD L'Institut Agro Montpellier France Agroscope Field-Crop Systems and Plant Nutrition Nyon Switzerland University of Wisconsin-Madison Department of Soil Science Madison United States Federal University of Viçosa Department of Agricultural Engineering Viçosa Brazil Woodwell Climate Research Center Falmouth United States Academic Coordination Santa Maria Brazil Soil Department Santa Maria Brazil Division of Environment and Natural Resources Aas Norway University of Rostock Chair of Geodesy and Geoinformatics Rostock Germany Federal Technological University of Paraná Dois Vizinhos Brazil BÜCHI Labortechnik AG Data Science Department Flawil Switzerland Imperial College London Imperial College Business School London United Kingdom University of Tübingen Department of Geosciences Tübingen Germany University of Tübingen DFG Cluster of Excellence ‘Machine Learning for Science’ Germany Bern University of Applied Sciences Competence Center for Soils Zollikofen Switzerland Simulation and Data Science Müncheberg Germany Federal University of Jataí Institute of Agricultural Sciences Jatai Brazil Federal University of Mato Grosso Instute of Agricultural and Environmental Scinces Sinop Brazil Department of Soil and Environment Skara S

Digital soil mapping (DSM) relies on a broad pool of statistical methods, yet determining the optimal method for a given context remains challenging and contentious. Benchmarking studies on multiple datasets are needed to reveal strengths and limitations of commonly used methods. Existing DSM studies usually rely on a single dataset with restricted access, leading to incomplete and potentially misleading conclusions. To address these issues, we introduce an open-access dataset collection called Precision Liming Soil Datasets (LimeSoDa). LimeSoDa consists of 31 field- and farm-scale datasets from various countries. Each dataset has three target soil properties: (1) soil organic matter or soil organic carbon, (2) clay content and (3) pH, alongside a set of features. Features are dataset-specific and were obtained by optical spectroscopy, proximal- and remote soil sensing. All datasets were aligned to a tabular format and are ready-to-use for modeling. We demonstrated the use of LimeSoDa for benchmarking by comparing the predictive performance of four learning algorithms across all datasets. This comparison included multiple linear regression (MLR), support vector regression (SVR), categorical boosting (CatBoost) and random forest (RF). The results showed that although no single algorithm was universally superior, certain algorithms performed better in specific contexts. MLR and SVR performed better on high-dimensional spectral datasets, likely due to better compatibility with principal components. In contrast, CatBoost and RF exhibited considerably better performances when applied to datasets with a moderate number ( © 2025 The Author(s)

关键词： Random forests

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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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International consensus on a standard set of outcome measures for child and youth anxiety, depression, obsessive-compulsive disorder, and post-traumatic stress disorder

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The Lancet Psychiatry 2021年第1期8卷 76-86页

作者： Krause, Karolin R Chung, Sophie Adewuya, Abiodun O Albano, Anne Marie Babins-Wagner, Rochelle Birkinshaw, Laura Brann, Peter Creswell, Cathy Delaney, Kathleen Falissard, Bruno Forrest, Christopher B Hudson, Jennifer L Ishikawa, Shin-ichi Khatwani, Meghna Kieling, Christian Krause, Judi Malik, Kanika Martínez, Vania Mughal, Faraz Ollendick, Thomas H Ong, Say How Patton, George C Ravens-Sieberer, Ulrike Szatmari, Peter Thomas, Evie Walters, Lucas Young, Bryan Zhao, Yue Wolpert, Miranda Evidence Based Practice Unit Faculty of Brain Sciences University College London London United Kingdom Anna Freud National Centre for Children and Families London United Kingdom International Consortium for Health Outcomes Measurement (ICHOM) London United Kingdom Department of Behavioral Medicine Lagos State University College of Medicine Lagos Nigeria Department of Psychiatry New York State Psychiatric Institute New York NY United States Columbia University Vagelos College of Physicians and Surgeons Columbia University New York NY United States Calgary Counselling Centre Calgary AB Canada Faculty of Social Work University of Calgary Calgary AB Canada Child and Youth Mental Health Service Eastern Health Melbourne VIC Australia School of Clinical Sciences Monash University Melbourne VIC Australia Young Minds London United Kingdom Departments of Experimental Psychology and Psychiatry University of Oxford Oxford United Kingdom Rush College of Nursing Chicago IL United States Université Paris-Saclay Gif-sur-Yvette France Université de Versailles Saint-Quentin-en-Yvelines Versailles France Institut national de la santé et de la recherche médicale (INSERM) Paris France Centre de recherche en Epidémiologie et Santé des Populations (CESP) Villejuif Île-de-France France Children's Hospital of Philadelphia Philadelphia PA United States Department of Psychology Centre for Emotional Health Macquarie University Sydney NSW Australia Faculty of Psychology Doshisha University Kyoto Japan Department of Psychology University of Delhi Delhi India Hospital de Clínicas de Porto Alegre Universidade Federal do Rio Grande do Sul Porto Alegre Rio Grande do Sul Brazil Child and Youth Mental Health Service Children's Health Queensland Hospital and Health Service Brisbane QLD Australia Sangath New Delhi Delhi India Centro de Medicina Reproductiva y Desarrollo Integral del Adolescente (CEMERA) Facultad de Medicina Universidad de Chile Santiago Chile Agencia Naci

A major barrier to improving care effectiveness for mental health is a lack of consensus on outcomes measurement. The International Consortium for Health Outcomes Measurement (ICHOM) has already developed a consensus-based standard set of outcomes for anxiety and depression in adults (including the Patient Health Questionnaire-9, the Generalised Anxiety Disorder 7-item Scale, and the WHO Disability Schedule). This Position Paper reports on recommendations specifically for anxiety, depression, obsessive-compulsive disorder, and post-traumatic stress disorder in children and young people aged between 6 and 24 years. An international ICHOM working group of 27 clinical, research, and lived experience experts formed a consensus through teleconferences, an exercise using an adapted Delphi technique (a method for reaching group consensus), and iterative anonymous voting, supported by sequential research inputs. A systematic scoping review identified 70 possible outcomes and 107 relevant measurement instruments. Measures were appraised for their feasibility in routine practice (ie, brevity, free availability, validation in children and young people, and language translation) and psychometric performance (ie, validity, reliability, and sensitivity to change). The final standard set recommends tracking symptoms, suicidal thoughts and behaviour, and functioning as a minimum through seven primarily patient-reported outcome measures: the Revised Children's Anxiety and Depression Scale, the Obsessive Compulsive Inventory for Children, the Children's Revised Impact of Events Scale, the Columbia Suicide Severity Rating Scale, the KIDSCREEN-10, the Children's Global Assessment Scale, and the Child Anxiety Life Interference Scale. The set's recommendations were validated through a feedback survey involving 487 participants across 45 countries. The set should be used alongside the anxiety and depression standard set for adults with clinicians selecting age-appropriate measures. © 2021

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Anterograde Trans-Synaptic Tagging Mediated by Adeno-Associated Virus

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Neuroscience Bulletin 2017年第3期33卷 348-350页

作者： Fei Zhao Hai-Fei Jiang Wen-Bo Zeng Yousheng Shu Min-Hua Luo Shumin Duan State Key Laboratory of Virology Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Wuhan Institute of Virology Chinese Academy of Sciences State Key Laboratory of Cognitive Neuroscience and Learning IDG/Mc Govern Institute for Brain ResearchSchool of Brain and Cognitive Sciences the Collaborative Innovation Center for Brain Science Beijing Normal University Department of Neurobiology Key Laboratory of Medical Neurobiology of the Ministry of Health of China Key Laboratory of Neurobiology Zhejiang University School of Medicine

Trans-neuronal viral tracing is becoming one of the most important methods for mapping neuronal circuit connections,but an anterograde trans-synaptic tracer compatible with functional assays is still ***-associated virus（AAV）is replication-defective,and its production of offspring needs the help of adenovirus（AV）[1]or herpesvirus co-infection[2].The replication deficiency,non-pathogenicity,easy manipulability,

关键词： neuronal herpesvirus offspring replication pathogenicity synaptic tracing Associated adenovirus titer

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Author Correction: Aplp1 interacts with Lag3 to facilitate transmission of pathologic α-synuclein

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Nature communications 2024年第1期15卷 6413页

作者： Xiaobo Mao Hao Gu Donghoon Kim Yasuyoshi Kimura Ning Wang Enquan Xu Ramhari Kumbhar Xiaotian Ming Haibo Wang Chan Chen Shengnan Zhang Chunyu Jia Yuqing Liu Hetao Bian Senthilkumar S Karuppagounder Fatih Akkentli Qi Chen Longgang Jia Heehong Hwang Su Hyun Lee Xiyu Ke Michael Chang Amanda Li Jun Yang Cyrus Rastegar Manjari Sriparna Preston Ge Saurav Brahmachari Sangjune Kim Shu Zhang Yasushi Shimoda Martina Saar Haiqing Liu Sin Ho Kweon Mingyao Ying Creg J Workman Dario A A Vignali Ulrike C Muller Cong Liu Han Seok Ko Valina L Dawson Ted M Dawson Neuroregeneration and Stem Cell Programs Institute for Cell Engineering Johns Hopkins University School of Medicine Baltimore MD 21205 USA. xmao4@jhmi.edu. Department of Neurology Johns Hopkins University School of Medicine Baltimore MD 21205 USA. xmao4@jhmi.edu. Adrienne Helis Malvin Medical Research Foundation New Orleans LA 70130-2685 USA. xmao4@jhmi.edu. Neuroregeneration and Stem Cell Programs Institute for Cell Engineering Johns Hopkins University School of Medicine Baltimore MD 21205 USA. Department of Neurology Johns Hopkins University School of Medicine Baltimore MD 21205 USA. Department of Neurology Nanjing Brain Hospital Nanjing Jiangsu 210029 PR China. Medical College Yangzhou University Yangzhou Jiangsu 225001 PR China. Department of Pharmacology College of Medicine Dong-A University 32 Daesin Gongwwon-ro Seo-gu Busan 49201 Republic of Korea. Adrienne Helis Malvin Medical Research Foundation New Orleans LA 70130-2685 USA. Department of Anesthesiology West China Hospital Sichuan University. The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences West China Hospital Sichuan University Chengdu Sichuan 610041 PR China. Interdisciplinary Research Center on Biology and Chemistry Shanghai Institute of Organic Chemistry Chinese Academy of Sciences 26 Qiuyue Road Shanghai 201210 China. University of the Chinese Academy of Sciences 19 A Yuquan Road Shijingshan District Beijing 100049 China. Institute for NanoBioTechnology Johns Hopkins University Baltimore MD 21218 USA. Department of Materials Science and Engineering Whiting School of Engineering Johns Hopkins University Baltimore MD 21218 USA. Department of Brain and Cognitive Sciences Massachusetts Institute of Technology Cambridge MA 02139 USA. Picower Institute for Learning and Memory Cambridge MA 02139 USA. Harvard-MIT MD/PhD Program Harvard Medical School Boston MA 02115 USA. Department of Biological Science and Biotechnology Chungbuk Nati

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EMPRESS. IX. Extremely Metal-Poor Galaxies are Very Gas-Rich Dispersion-Dominated Systems: Will JWST Witness Gaseous Turbulent High-z Primordial Galaxies?

arXiv

引用

arXiv 2022年

作者： Isobe, Yuki Ouchi, Masami Nakajima, Kimihiko Ozaki, Shinobu Bouché, Nicolas F. Wise, John H. Xu, Yi Emsellem, Eric Kusakabe, Haruka Hattori, Takashi Nagao, Tohru Chiaki, Gen Fukushima, Hajime Harikane, Yuichi Hayashi, Kohei Hirai, Yutaka Kim, Ji Hoon Maseda, Michael V. Nagamine, Kentaro Shibuya, Takatoshi Sugahara, Yuma Yajima, Hidenobu Aoyama, Shohei Fujimoto, Seiji Fukushima, Keita Hatano, Shun Inoue, Akio K. Ishigaki, Tsuyoshi Kawasaki, Masahiro Kojima, Takashi Komiyama, Yutaka Koyama, Shuhei Koyama, Yusei Lee, Chien-Hsiu Matsumoto, Akinori Mawatari, Ken Moriya, Takashi J. Motohara, Kentaro Murai, Kai Nishigaki, Moka Onodera, Masato Ono, Yoshiaki Rauch, Michael Saito, Tomoki Sasaki, Rin Suzuki, Akihiro Takeuchi, Tsutomu T. Umeda, Hiroya Umemura, Masayuki Watanabe, Kuria Yabe, Kiyoto Zhang, Yechi Institute for Cosmic Ray Research The University of Tokyo 5-1-5 Kashiwanoha Chiba Kashiwa277-8582 Japan Department of Physics Graduate School of Science The University of Tokyo 7-3-1 Hongo Bunkyo Tokyo113-0033 Japan National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka Tokyo181-8588 Japan University of Tokyo Chiba Kashiwa277-8583 Japan Univ Lyon Univ Lyon1 ENS de Lyon CNRS Centre de Recherche Astrophysique de Lyon UMR5574 Saint-Genis-LavalF-69230 France Center for Relativistic Astrophysics School of Physics Georgia Institute of Technology AtlantaGA30332 United States Department of Astronomy Graduate School of Science The University of Tokyo 7-3-1 Hongo Bunkyo Tokyo113-0033 Japan European Southern Observatory Karl-Schwarzschild-Straße 2 Garching85748 Germany Observatoire de Genéve Université de Genéve 51 Ch. des Maillettes Versoix1290 Switzerland 650 North A'ohoku Place HiloHI96720 United States Research Center for Space and Cosmic Evolution Ehime University Bunkyo-cho 2-5 Ehime Matsuyama790-8577 Japan Center for Computational Sciences University of Tsukuba Ten-nodai 1-1-1 Tsukuba Ibaraki305-8577 Japan Department of Physics and Astronomy University College London Gower Street LondonWC1E 6BT United Kingdom National Institute of Technology Ichinoseki College Hagisho Ichinoseki021-8511 Japan Astronomical Institute Tohoku University 6-3 Aoba Aramaki Aoba-ku Miyagi Sendai980-8578 Japan Department of Physics and Astronomy University of Notre Dame 225 Nieuwland Science Hall Notre DameIN46556 United States Astronomy Program Department of Physics and Astronomy Seoul National University 1 Gwanak-ro Gwanak-gu Seoul08826 Korea Republic of SNU Astronomy Research Center Seoul National University 1 Gwanak-ro Gwanak-gu Seoul08826 Korea Republic of Department of Astronomy University of Wisconsin-Madison 475 N. Charter Street MadisonWI53706 United States Theoretical Astrophysics Department of Earth & Space S

We present kinematics of 6 local extremely metal-poor galaxies (EMPGs) with low metallicities (0.016 − 0.098 Z☉) and low stellar masses (104.7 − 107.6M☉). Taking deep medium-high resolution (R ∼ 7500) integral-field spectra with 8.2-m Subaru, we resolve the small inner velocity gradients and dispersions of the EMPGs with Hα emission. Carefully masking out sub-structures originated by inflow and/or outflow, we fit 3-dimensional disk models to the observed Hα flux, velocity, and velocity-dispersion maps. All the EMPGs show rotational velocities (vrot) of 5-23 km s−1 smaller than the velocity dispersions (σ0) of 17-31 km s−1, indicating dispersion-dominated (vrot/σ0 = 0.29−0.80 gas 0.9 − 1.0. Comparing our results with other Hα kinematics studies, we find that vrot/σ0 decreases and fgas increases with decreasing metallicity, decreasing stellar mass, and increasing specific star-formation rate. We also find that simulated high-z (z ∼ 7) forming galaxies have gas fractions and dynamics similar to the observed EMPGs. Our EMPG observations and the simulations suggest that primordial galaxies are gas-rich dispersion-dominated systems, which would be identified by the forthcoming James Webb Space Telescope (JWST) observations at z ∼ 7. Copyright © 2022, The Authors. All rights reserved.

关键词： Galaxies

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