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Varying the Stiffness and Diffusivity of Rod-Shaped Microgels Independently through Their Molecular Building Blocks

Angewandte Chemie 2023年第44期135卷

作者： Yonca Kittel Luis P. B. Guerzoni Carolina Itzin Dirk Rommel Matthias Mork Céline Bastard Bernhard Häßel Abdolrahman Omidinia-Anarkoli Silvia P. Centeno Tamás Haraszti Kyoohyun Kim Jochen Guck Alexander J. C. Kuehne Laura De Laporte DWI-Leibniz Institute for Interactive Materials e. V. Forckenbeckstraße 50 52074 Aachen Germany Institute of Technical and Macromolecular Chemistry RWTH Aachen University Worringerweg 1–2 52074 Aachen Germany Institute of Organic and Macromolecular Chemistry Ulm University Albert-Einstein Allee 11 89081 Ulm Germany Contribution: Conceptualization (equal) Data curation (lead) Formal analysis (lead) Investigation (lead) Project administration (lead) Visualization (lead) Writing - original draft (lead) Contribution: Conceptualization (equal) Investigation (supporting) Supervision (supporting) Writing - review & editing (supporting) Contribution: Investigation (supporting) Validation (supporting) Visualization (supporting) Writing - review & editing (equal) Contribution: Conceptualization (supporting) Investigation (supporting) Validation (supporting) Writing - review & editing (equal) Contribution: Conceptualization (supporting) Formal analysis (supporting) Investigation (supporting) Visualization (supporting) Writing - review & editing (equal) Center for Biohybrid Medical Systems (CBMS) Advanced Materials for Biomedicine (AMB) Institute of Applied Medical Engineering (AME) Forckenbeckstraße 55 52074 Aachen Germany Contribution: Conceptualization (supporting) Validation (supporting) Visualization (supporting) Writing - original draft (supporting) Writing - review & editing (equal) Contribution: Formal analysis (equal) Software (lead) Validation (supporting) Visualization (supporting) Writing - original draft (supporting) Writing - review & editing (equal) Max Planck Institute for the Science of Light and Max-Planck-Zentrum für Physik und Medizin Staudtstraße 2 91058 Erlangen Germany Contribution: Conceptualization (supporting) Investigation (supporting) Software (supporting) Validation (supporting) Visualization (supporting) Writing - original draft (supporting) Writing - review & editing (equal) Contribution: Conceptualization (supporting) Writing - review

Microgels are water-swollen, crosslinked polymers that are widely used as colloidal building blocks in scaffold materials for tissue engineering and regenerative medicine. Microgels can be controlled in their stiffness, degree of swelling, and mesh size depending on their polymer architecture, crosslink density, and fabrication method—all of which influence their function and interaction with the environment. Currently, there is a lack of understanding of how the polymer composition influences the internal structure of soft microgels and how this morphology affects specific biomedical applications. In this report, we systematically vary the architecture and molar mass of polyethylene glycol-acrylate (PEG-Ac) precursors, as well as their concentration and combination, to gain insight in the different parameters that affect the internal structure of rod-shaped microgels. We characterize the mechanical properties and diffusivity, as well as the conversion of acrylate groups during photopolymerization, in both bulk hydrogels and microgels produced from the PEG-Ac precursors. Furthermore, we investigate cell-microgel interaction, and we observe improved cell spreading on microgels with more accessible RGD peptide and with a stiffness in a range of 20 kPa to 50 kPa lead to better cell growth.

关键词： Diffusion Internal Structure Mechanical Properties Microfluidics PEG Microgels

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Corrigendum to 'Impact of accumulative smoking exposure and chronic obstructive pulmonary disease on COVID-19 outcomes: report based on findings from the Japan COVID-19 task force' [IJID 128 (2023) 121-127]

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International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases 2025年 151卷 107322页

作者： Mayuko Watase Katsunori Masaki Shotaro Chubachi Ho Namkoong Hiromu Tanaka Ho Lee Takahiro Fukushima Shiro Otake Kensuke Nakagawara Tatsuya Kusumoto Takanori Asakura Hirofumi Kamata Makoto Ishii Naoki Hasegawa Yoshitaka Oyamada Norihiro Harada Tetsuya Ueda Soichiro Ueda Takashi Ishiguro Ken Arimura Fukuki Saito Takashi Yoshiyama Yasushi Nakano Yoshikazu Mutoh Yusuke Suzuki Ryuya Edahiro Hirohito Sano Yasunori Sato Yukinori Okada Ryuji Koike Yuko Kitagawa Katsushi Tokunaga Akinori Kimura Seiya Imoto Satoru Miyano Seishi Ogawa Takanori Kanai Koichi Fukunaga Division of Pulmonary Medicine Department of Medicine Keio University School of Medicine Tokyo Japan Department of Respiratory Medicine National Hospital Organization Tokyo Medical Center Tokyo Japan. Division of Pulmonary Medicine Department of Medicine Keio University School of Medicine Tokyo Japan. Electronic address: masakik@keio.jp. Division of Pulmonary Medicine Department of Medicine Keio University School of Medicine Tokyo Japan. Department of Infectious Diseases Keio University School of Medicine Tokyo Japan. Department of Pulmonary Medicine Saitama City Hospital Saitama Japan. Department of Respiratory Medicine Juntendo University Faculty of Medicine and Graduate School of Medicine Tokyo Japan. Department of Respiratory Medicine Osaka Saiseikai Nakatsu Hospital Osaka Japan. Department of Internal Medicine JCHO (Japan Community Health Care Organization) Saitama Medical Center Saitama Japan. Department of Respiratory Medicine Saitama Cardiovascular and Respiratory Center Kumagaya Japan. Department of Respiratory Medicine Tokyo Women's Medical University Tokyo Japan. Department of Emergency and Critical Care Medicine Kansai Medical University General Medical Center Moriguchi Japan. Respiratory Disease Center Fukujuji Hospital Japan Anti-Tuberculosis Association Tokyo Japan. Department of Internal Medicine Kawasaki Municipal Ida Hospital Kawasaki Japan. Department of Infectious Diseases Tosei General Hospital Seto Japan. Department of Respiratory Medicine Kitasato University Kitasato Institute Hospital Tokyo Japan. Department of Statistical Genetics Osaka University Graduate School of Medicine Suita Japan. Department of Respiratory Medicine Tohoku University Graduate School of Medicine Sendai Japan. Department of Preventive Medicine and Public Health Keio University School of Medicine Tokyo Japan. Department of Statistical Genetics Osaka University Graduate School of Medicine Suita Japan Integrated Frontier Research for Medical Science Divisio

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Low-density star cluster formation: discovery of a young faint fuzzy on the outskirts of the low-mass spiral galaxy NGC 247

arXiv

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arXiv 2022年

作者： Romanowsky, Aaron J. Larsen, Søren S. Villaume, Alexa Carlin, Jeffrey L. Janz, Joachim Sand, David J. Strader, Jay Brodie, Jean P. Chakrabarti, Sukanya Cheng, Chloe M. Crnojević, Denija Forbes, Duncan A. Garling, Christopher T. Hargis, Jonathan R. Karunakaran, Ananthan Martín-Navarro, Ignacio Olsen, Knut A.G. Rider, Nicole Salimkumar, Bitha Santhanakrishnan, Vakini Spekkens, Kristine Tang, Yimeng van Dokkum, Pieter G. Willman, Beth Department of Physics & Astronomy San José State University One Washington Square San JoseCA95192 United States University of California Observatories 1156 High Street Santa CruzCA95064 United States Department of Astronomy & Astrophysics University of California Santa Cruz 1156 High Street Santa CruzCA95064 United States Department of Astrophysics IMAPP Radboud University PO Box 9010 Nijmegen6500 GL Netherlands Waterloo Centre for Astrophysics Department of Physics & Astronomy University of Waterloo 200 University Ave. W. WaterlooONN2L 3G1 Canada Rubin Observatory Project Office 950 N. Cherry Ave. TucsonAZ85719 United States University of Turku Vesilinnantie 5 FI-20014 Finland Space Physics and Astronomy Research Unit University of Oulu P.O. Box 3000 Yliopisto OulunFI-90014 Finland Specim Spectral Imaging Ltd. Elektroniikkatie 13 OuluFI-90590 Finland Steward Observatory University of Arizona 933 North Cherry Avenue TucsonAZ85721 United States Center for Data Intensive and Time Domain Astronomy Department of Physics and Astronomy Michigan State University East LansingMI48824 United States Centre for Astrophysics and Supercomputing Swinburne University John Street HawthornVIC3122 Australia School of Physics and Astronomy RIT RochesterNY14623 United States Institute for Advanced Study 1 Einstein Drive PrincetonNJ08540 United States University of Tampa 401 West Kennedy Boulevard TampaFL33606 United States CCAPP Department of Astronomy The Ohio State University 140 W. 18th Ave. ColumbusOH43210 United States Space Telescope Science Institute 3700 San Martin Drive BaltimoreMD21218 United States Department of Physics Engineering Physics and Astronomy Queen’s University KingstonONK7L 3N6 Canada Instituto de Astrofísica de Canarias Tenerife La LagunaE-38205 Spain Departamento de Astrofísica Universidad de La Laguna Tenerife La LagunaE-38205 Spain NSF’s National Optical-Infrared Astronomy Research Laboratory 950

The classical globular clusters found in all galaxy types have half-light radii of rh ∼ 2–4 pc, which have been tied to formation in the dense cores of giant molecular clouds. Some old star clusters have larger sizes, and it is unclear if these represent a fundamentally different mode of low-density star cluster formation. We report the discovery of a rare, young "faint fuzzy" star cluster, NGC 247-SC1, on the outskirts of the low-mass spiral galaxy NGC 247 in the nearby Sculptor group, and measure its radial velocity using Keck spectroscopy. We use Hubble Space Telescope imaging to measure the cluster half-light radius of rh ' 12 pc and a luminosity of Lv ' 4 × 105L . We produce a colour–magnitude diagram of cluster stars and compare to theoretical isochrones, finding an age of '300 Myr, a metallicity of [Z/H] ∼ −0.6 and an inferred mass of M★ ' 9 × 104M . The narrow width of blue-loop star magnitudes implies an age spread of . 50 Myr, while no old red-giant branch stars are found, so SC1 is consistent with hosting a single stellar population, modulo several unexplained bright "red straggler" stars. SC1 appears to be surrounded by tidal debris, at the end of a ∼ 2 kpc long stellar filament that also hosts two low-mass, low-density clusters of a similar age. We explore a link between the formation of these unusual clusters and an external perturbation of their host galaxy, illuminating a possible channel by which some clusters are born with large sizes. © 2022, CC BY-NC-SA.

关键词： Galaxies

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The short version of the Sexual Distress Scale (SDS-3): Measurement invariance across countries, gender identities, and sexual orientations

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International Journal of Clinical and Health Psychology 2024年第2期24卷 100461-100461页

作者： Lin, Chung-Ying Tsai, Meng-Che Koós, Mónika Nagy, Léna Kraus, Shane W. Demetrovics, Zsolt Potenza, Marc N. Ballester-Arnal, Rafael Batthyány, Dominik Bergeron, Sophie Billieux, Joël Briken, Peer Cárdenas-López, Georgina Carvalho, Joana Castro-Calvo, Jesús Chen, Lijun Ciocca, Giacomo Corazza, Ornella Csako, Rita I. Fernandez, David P. Fernandez, Elaine F. Fujiwara, Hironobu Fuss, Johannes Gabrhelík, Roman Gewirtz-Meydan, Ateret Gjoneska, Biljana Gola, Mateusz Grubbs, Joshua B. Hashim, Hashim T. Islam, Md. Saiful Ismail, Mustafa Jiménez-Martínez, Martha Jurin, Tanja Kalina, Ondrej Klein, Verena Költő, András Lee, Sang-Kyu Lewczuk, Karol Lochner, Christine López-Alvarado, Silvia Lukavská, Kateřina Mayta-Tristán, Percy Milea, Ion Miller, Dan J. Orosová, Oľga Orosz, Gábor Ponce, Fernando P. Quintana, Gonzalo R. Garzola, Gabriel C. Quintero Ramos-Diaz, Jano Rigaud, Kévin Rousseau, Ann Scanavino, Marco De Tubino Schulmeyer, Marion K. Sharan, Pratap Shibata, Mami Shoib, Sheikh Sigre-Leirós, Vera Sniewski, Luke Spasovski, Ognen Steibliene, Vesta Stein, Dan J. Strizek, Julian Štulhofer, Aleksandar Ünsal, Berk C. Vaillancourt-Morel, Marie-Pier Van Hout, Marie Claire Bőthe, Beáta Institute of Allied Health Sciences College of Medicine National Cheng Kung University Tainan Taiwan Biostatistics Consulting Center National Cheng Kung University Hospital College of Medicine National Cheng Kung University Tainan Taiwan Department of Pediatrics National Cheng Kung University Hospital College of Medicine National Cheng Kung University Tainan Taiwan Doctoral School of Psychology ELTE Eötvös Loránd University Budapest Hungary Institute of Psychology ELTE Eötvös Loránd University Budapest Hungary Department of Psychology University of Nevada Las Vegas NV United States Centre of Excellence in Responsible Gaming University of Gibraltar Gibraltar United Kingdom College of Education Psychology and Social Work Flinders University Adelaide Australia Yale University School of Medicine New Haven CT United States Connecticut Council on Problem Gambling Wethersfield CT United States Departamento de Psicología Básica Clínica y Psicobiología University Jaume I Castelló Spain Institute for Behavioural Addictions Sigmund Freud University Vienna Austria Département de Psychologie Université de Montréal Montréal Canada Centre de recherche interdisciplinaire sur les problèmes conjugaux et les agressions sexuelles Montréal Canada Institute of Psychology University of Lausanne Lausanne Switzerland Center for Excessive Gambling Addiction Medicine Lausanne University Hospitals (CHUV) Lausanne Switzerland Institute for Sex Research Sexual Medicine & Forensic Psychiatry University Medical Center Hamburg-Eppendorf (UKE) Hamburg Germany Virtual Teaching and Cyberpsychology Laboratory School of Psychology National Autonomous University of Mexico Mexico Mexico William James Center for Research Department of Education and Psychology University of Aveiro Aveiro Portugal Department of Personality Assessment and Psychological Treatments University of Valencia Valencia Spain Department of Psychology College of Humanity and Social Science Fuzhou University

Background: The three-item Sexual Distress Scale (SDS-3) has been frequently used to assess distress related to sexuality in public health surveys and research on sexual wellbeing. However, its psychometric properties and measurement invariance across cultural, gender and sexual subgroups have not yet been examined. This multinational study aimed to validate the SDS-3 and test its psychometric properties, including measurement invariance across language, country, gender identity, and sexual orientation groups. Methods: We used global survey data from 82,243 individuals (Mean _age=32.39 years;40.3 % men, 57.0 % women, 2.8 % non-binary, and 0.6 % other genders) participating in the International Sexual Survey (ISS;https://***/) across 42 countries and 26 languages. Participants completed the SDS-3, as well as questions regarding sociodemographic characteristics, including gender identity and sexual orientation. Results: Confirmatory factor analysis (CFA) supported a unidimensional factor structure for the SDS-3, and multi-group CFA (MGCFA) suggested that this factor structure was invariant across countries, languages, gender identities, and sexual orientations. Cronbach's α for the unidimensional score was 0.83 (range between 0.76 and 0.89), and McDonald's ω was 0.84 (range between 0.76 and 0.90). Participants who did not experience sexual problems had significantly lower SDS-3 total scores (M = 2.99;SD=2.54) compared to those who reported sexual problems (M = 5.60;SD=3.00), with a large effect size (Cohen's d = 1.01 [95 % CI=-1.03, -0.98];p < 0.001). Conclusion: The SDS-3 has a unidimensional factor structure and appears to be valid and reliable for measuring sexual distress among individuals from different countries, gender identities, and sexual orientations. © 2024 The Author(s)

关键词： Confirmatory factor analysis (CFA) International sex survey Psychometric analysis Sexual distress

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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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Machine learning forces trained by Gaussian process in liquid states: Transferability to temperature and pressure

arXiv

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arXiv 2018年

作者： Tamura, Ryo Lin, Jianbo Miyazaki, Tsuyoshi National Institute for Materials Science 1-1 Namiki Tsukuba Ibaraki305-0044 Japan Research and Services Division of Materials Data and Integrated System National Institute for Materials Science 1-2-1 Sengen Tsukuba Ibaraki305-0047 Japan Graduate School of Frontier Sciences University of Tokyo 5-1-5 Kashiwanoha Kashiwa Chiba277-8568 Japan Center for Advanced Intelligence Project RIKEN 1-4-1 Nihombashi Chuo-ku Tokyo103-0027 Japan Department of Physics and Astronomy University College London Gower Street LondonWC1E 6BT United Kingdom

We study a generalization performance of the machine learning (ML) model to predict the atomic forces within the density functional theory (DFT). The targets are the Si and Ge single component systems in the liquid state. To train the machine learning model, Gaussian process regression is performed with the atomic fingerprints which express the local structure around the target atom. The training and test data are generated by the molecular dynamics (MD) based on DFT. We first report the accuracy of ML forces when both test and training data are generated from the DFT-MD simulations at a same temperature. By comparing the accuracy of ML forces at various temperatures, it is found that the accuracy becomes the lowest around the phase boundary between the solid and the liquid states. Furthermore, we investigate the transferability of ML models trained in the liquid state to temperature and pressure. We demonstrate that, if the training is performed at a high temperature and if the volume change is not so large, the transferability of ML forces in the liquid state is high enough, while its transferability to the solid state is very low. Copyright © 2018, The Authors. All rights reserved.

关键词： Molecular dynamics

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Cross-cultural validation and measurement invariance of anxiety and depression symptoms: A study of the Brief Symptom Inventory (BSI) in 42 countries

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Journal of affective disorders 2024年 350卷 991-1006页

作者： Gonzalo R Quintana Fernando P Ponce Javier I Escudero-Pastén Juan F Santibáñez-Palma Léna Nagy Mónika Koós Shane W Kraus Zsolt Demetrovics Marc N Potenza Rafael Ballester-Arnal Dominik Batthyány Sophie Bergeron Joël Billieux Peer Briken Julius Burkauskas Georgina Cárdenas-López Joana Carvalho Jesús Castro-Calvo Lijun Chen Giacomo Ciocca Ornella Corazza Rita I Csako David P Fernandez Elaine F Fernandez Hironobu Fujiwara Johannes Fuss Roman Gabrhelík Ateret Gewirtz-Meydan Biljana Gjoneska Mateusz Gola Joshua B Grubbs Hashim T Hashim Md Saiful Islam Mustafa Ismail Martha C Jiménez-Martínez Tanja Jurin Ondrej Kalina Verena Klein András Költő Chih-Ting Lee Sang-Kyu Lee Karol Lewczuk Chung-Ying Lin Christine Lochner Silvia López-Alvarado Kateřina Lukavská Percy Mayta-Tristán Dan J Miller Oľga Orosová Gábor Orosz Gabriel C Quintero Garzola Jano Ramos-Diaz Kévin Rigaud Ann Rousseau Marco De Tubino Scanavino Marion K Schulmeyer Pratap Sharan Mami Shibata Sheikh Shoib Vera Sigre-Leirós Luke Sniewski Ognen Spasovski Vesta Steibliene Dan J Stein Berk C Ünsal Marie-Pier Vaillancourt-Morel Marie Claire Van Hout Beáta Bőthe Departamento de Psicología y Filosofía Facultad de Ciencias Sociales Universidad de Tarapacá Arica Arica y Parinacota Chile. Electronic address: gquintanaz@academicos.uta.cl. Facultad de Psicología Universidad de Talca Chile. Departamento de Psicología y Filosofía Facultad de Ciencias Sociales Universidad de Tarapacá Arica Arica y Parinacota Chile. Doctoral School of Psychology ELTE Eötvös Loránd University Budapest Hungary Institute of Psychology ELTE Eötvös Loránd University Budapest Hungary. Institute of Psychology ELTE Eötvös Loránd University Budapest Hungary. Department of Psychology University of Nevada Las Vegas Las Vegas NV USA. Institute of Psychology ELTE Eötvös Loránd University Budapest Hungary Centre of Excellence in Responsible Gaming University of Gibraltar Gibraltar Gibraltar. Yale University School of Medicine New Haven CT USA Connecticut Council on Problem Gambling Wethersfield CT USA. Departmento de Psicología Básica Clínica y Psicobiología University Jaume I of Castellón Spain. Institute for Behavioural Addictions Sigmund Freud University Vienna Austria. Département de psychologie Université de Montréal Montréal Canada. Institute of Psychology University of Lausanne Lausanne Switzerland Center for Excessive Gambling Addiction Medicine Lausanne University Hospitals (CHUV) Lausanne Switzerland. Institute for Sex Research Sexual Medicine and Forensic Psychiatry University Medical Centre Hamburg-Eppendorf Hamburg Germany. Laboratory of Behavioral Medicine Neuroscience Institute Lithuanian University of Health Sciences Palanga Lithuania. Virtual Teaching and Cyberpsychology Laboratory School of Psychology National Autonomous University of Mexico Mexico. William James Center for Research Departamento de Educação e Psicologia Universidade de Aveiro Aveiro Portugal. Department of Personality Assessment and Psychological Treatments University of Valencia Spain. Department of Psychology College of Humanity and Social Science Fuz

BACKGROUND:Depression and anxiety are among the most prevalent mental health issues experienced worldwide. However, whereas cross-cultural studies utilize psychometrically valid and reliable scales, fewer can meaningfully compare these conditions across different groups. To address this gap, the current study aimed to psychometrically assess the Brief Symptomatology Index (BSI) in 42 countries. METHODS:Using data from the International Sex Survey (N = 82,243; M = 32.39; SD = 12.52; women: n = 46,874; 57 %), we examined the reliability of depression and anxiety symptom scores of the BSI-18, as well as evaluated evidence of construct, invariance, and criterion-related validity in predicting clinically relevant variables across countries, languages, genders, and sexual orientations. RESULTS:Results corroborated an invariant, two-factor structure across all groups tested, exhibiting excellent reliability estimates for both subscales. The 'caseness' criterion effectively discriminated among those at low and high risk of depression and anxiety, yielding differential effects on the clinical criteria examined. LIMITATIONS:The predictive validation was not made against a clinical diagnosis, and the full BSI-18 scale was not examined (excluding the somatization sub-dimension), limiting the validation scope of the BSI-18. Finally, the study was conducted online, mainly by advertisements through social media, ultimately skewing our sample towards women, younger, and highly educated populations. CONCLUSIONS:The results support that the BSI-12 is a valid and reliable assessment tool for assessing depression and anxiety symptoms across countries, languages, genders, and sexual orientations. Further, its caseness criterion can discriminate well between participants at high and low risk of depression and anxiety.

关键词： Anxiety Brief Symptom Inventory Cross-cultural Depression Measurement invariance Psychometric

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The evolutionary history of 2,658 cancers (vol 578, pg 122, 2020)

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NATURE 2023年第7948期614卷 E42-E42页

作者： Gerstung, Moritz Jolly, Clemency Leshchiner, Ignaty Dentro, Stefan C. Gonzalez, Santiago Rosebrock, Daniel Mitchell, Thomas J. Rubanova, Yulia Anur, Pavana Yu, Kaixian Tarabichi, Maxime Deshwar, Amit Wintersinger, Jeff Kleinheinz, Kortine Vazquez-Garcia, Ignacio Haase, Kerstin Jerman, Lara Sengupta, Subhajit Macintyre, Geoff Malikic, Salem Donmez, Nilgun Livitz, Dimitri G. Cmero, Marek Demeulemeester, Jonas Schumacher, Steven Fan, Yu Yao, Xiaotong Lee, Juhee Schlesner, Matthias Boutros, Paul C. Bowtell, David D. Zhu, Hongtu Getz, Gad Imielinski, Marcin Beroukhim, Rameen Sahinalp, S. Cenk Ji, Yuan Peifer, Martin Markowetz, Florian Mustonen, Ville Yuan, Ke Wang, Wenyi Morris, Quaid D. Spellman, Paul T. Wedge, David C. Van Loo, Peter European Molecular Biology Laboratory European Bioinformatics Institute (EMBL-EBI) Cambridge UK European Molecular Biology Laboratory Genome Biology Unit Heidelberg Germany Wellcome Sanger Institute Cambridge UK Genome Biology Unit European Molecular Biology Laboratory (EMBL) Heidelberg Germany University of Ljubljana Ljubljana Slovenia The Francis Crick Institute London UK Big Data Institute University of Oxford Oxford UK Wellcome Sanger Institute Wellcome Genome Campus Hinxton UK Big Data Institute Li Ka Shing Centre University of Oxford Oxford UK University of Cambridge Cambridge UK Cambridge University Hospitals NHS Foundation Trust Cambridge UK Department of Applied Mathematics and Theoretical Physics Centre for Mathematical Sciences University of Cambridge Cambridge UK Department of Epidemiology and Biostatistics Memorial Sloan Kettering Cancer Center New York NY USA Department of Statistics Columbia University New York NY USA Department of Haematology University of Cambridge Cambridge UK University of Leuven Leuven Belgium Broad Institute of MIT and Harvard Cambridge MA USA Center for Cancer Research Massachusetts General Hospital Charlestown MA USA Department of Pathology Massachusetts General Hospital Boston MA USA Harvard Medical School Boston MA USA Center for Cancer Research Massachusetts General Hospital Boston MA USA Dana-Farber Cancer Institute Boston MA USA Department of Medical Oncology Dana-Farber Cancer Institute Boston MA USA Department of Cancer Biology Dana-Farber Cancer Institute Boston MA USA Oxford NIHR Biomedical Research Centre Oxford UK Oxford NIHR Biomedical Research Centre University of Oxford Oxford UK University of Toronto Toronto Ontario Canada Vector Institute Toronto Ontario Canada Vector Institute Toronto ON Canada Department of Computer Science University of Toronto Toronto ON Canada Ontario Institute for Cancer Research Toronto Ontario Canada University of California Los Angeles

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The repertoire of mutational signatures in human cancer (vol 578, pg 94, 2020)

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NATURE 2023年第7948期614卷 E41-E41页

作者： Alexandrov, Ludmil B. Kim, Jaegil Haradhvala, Nicholas J. Huang, Mi Ni Ng, Alvin Wei Tian Wu, Yang Boot, Arnoud Covington, Kyle R. Gordenin, Dmitry A. Bergstrom, Erik N. Islam, S. M. Ashiqul Lopez-Bigas, Nuria Klimczak, Leszek J. McPherson, John R. Morganella, Sandro Sabarinathan, Radhakrishnan Wheeler, David A. Mustonen, Ville Getz, Gad Rozen, Steven G. Stratton, Michael R. Department of Cellular and Molecular Medicine Department of Bioengineering Moores Cancer Center University of California San Diego CA USA Wellcome Sanger Institute Wellcome Genome Campus Hinxton UK Department of Cellular and Molecular Medicine and Department of Bioengineering University of California San Diego La Jolla CA USA UC San Diego Moores Cancer Center San Diego CA USA University of California San Diego San Diego CA USA Broad Institute of MIT and Harvard Cambridge MA USA Center for Cancer Research Massachusetts General Hospital Boston MA USA Massachusetts General Hospital Boston MA USA Department of Pathology Massachusetts General Hospital Boston MA USA Harvard Medical School Boston MA USA Laboratory for Medical Science Mathematics RIKEN Center for Integrative Medical Sciences Yokohama Japan Computational Biology Program Ontario Institute for Cancer Research Toronto ON Canada Programme in Cancer & Stem Cell Biology Duke-NUS Medical School Singapore Singapore Centre for Computational Biology Duke-NUS Medical School Singapore Singapore Programme in Cancer and Stem Cell Biology Duke-NUS Medical School Singapore Singapore Programme in Cancer and Stem Cell Biology Centre for Computational Biology Duke-NUS Medical School Singapore Singapore SingHealth Duke-NUS Institute of Precision Medicine National Heart Centre Singapore Singapore Singapore Cancer Science Institute of Singapore National University of Singapore Singapore Singapore Institute of Molecular and Cell Biology Singapore Singapore Laboratory of Cancer Epigenome Division of Medical Science National Cancer Centre Singapore Singapore Singapore Duke-NUS Medical School Singapore Singapore Human Genome Sequencing Center Baylor College of Medicine Houston TX USA Dan L. Duncan Cancer Center Baylor College of Medicine Houston TX USA Department of Molecular and Human Genetics Baylor College of Medicine Houston TX USA Genome Integrity and Structural Biology Laboratory National Ins

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Genomic basis for RNA alterations in cancer (vol 578, pg 129, 2020)

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NATURE 2023年第7948期614卷 E37-E37页

作者： Calabrese, Claudia Davidson, Natalie R. Demircioglu, Deniz Fonseca, Nuno A. He, Yao Lehmann, Kjong-Van Liu, Fenglin Shiraishi, Yuichi Soulette, Cameron M. Urban, Lara Greger, Liliana Li, Siliang Liu, Dongbing Perry, Marc D. Xiang, Qian Zhang, Fan Zhang, Junjun Bailey, Peter Erkek, Serap Hoadley, Katherine A. Hou, Yong Huska, Matthew R. Kilpinen, Helena Korbel, Jan O. Marin, Maximillian G. Markowski, Julia Nandi, Tannistha Pan-Hammarstrom, Qiang Pedamallu, Chandra Sekhar Siebert, Reiner Stark, Stefan G. Su, Hong Tan, Patrick Waszak, Sebastian M. Yung, Christina Zhu, Shida Awadalla, Philip Creighton, Chad J. Meyerson, Matthew Ouellette, B. F. Francis Wu, Kui Yang, Huanming Brazma, Alvis Brooks, Angela N. Goke, Jonathan Ratsch, Gunnar Schwarz, Roland F. Stegle, Oliver Zhang, Zemin European Molecular Biology Laboratory European Bioinformatics Institute Hinxton UK European Molecular Biology Laboratory European Bioinformatics Institute (EMBL-EBI) Cambridge UK Genome Biology Unit European Molecular Biology Laboratory (EMBL) Heidelberg Germany CIBIO/InBIO - Research Center in Biodiversity and Genetic Resources Universidade do Porto Vairão Portugal Berlin Institute for Medical Systems Biology Max Delbruck Center for Molecular Medicine Berlin Germany German Cancer Consortium (DKTK) partner site Berlin Germany German Cancer Research Center (DKFZ) Heidelberg Germany Berlin Institute for Medical Systems Biology Max Delbrück Center for Molecular Medicine Berlin Germany German Cancer Consortium (DKTK) Partner site Berlin Berlin Germany European Molecular Biology Laboratory Genome Biology Unit Heidelberg Germany Division of Computational Genomics and Systems Genetics German Cancer Research Center (DKFZ) Heidelberg Germany ETH Zurich Zurich Switzerland Memorial Sloan Kettering Cancer Center New York NY USA Weill Cornell Medical College New York NY USA SIB Swiss Institute of Bioinformatics Lausanne Switzerland University Hospital Zurich Zurich Switzerland Computational Biology Center Memorial Sloan Kettering Cancer Center New York NY USA Department of Biology ETH Zurich Zürich Switzerland Department of Computer Science ETH Zurich Zurich Switzerland Korea University Seoul South Korea Computational and Systems Biology Program Memorial Sloan Kettering Cancer Center New York NY USA Department of Physiology and Biophysics Weill Cornell Medicine New York NY USA Institute for Computational Biomedicine Weill Cornell Medicine New York NY USA Controlled Department and Institution New York NY USA Englander Institute for Precision Medicine Weill Cornell Medicine New York NY USA National University of Singapore Singapore Singapore Genome Institute of Singapore Singapore Singapore Computational and Systems Biology Genome Institute of Singap

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