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Author Correction: Evaluating Tumor Evolution via Genomic Profiling of Individual Tumor Spheroids in a Malignant Ascites

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Scientific reports 2018年第1期8卷 17395页

作者： Sungsik Kim Soochi Kim Jinhyun Kim Boyun Kim Se Ik Kim Min A Kim Sunghoon Kwon Yong Sang Song Department of Electrical and Computer Engineering Seoul National University Seoul 08826 Republic of Korea. Interdisciplinary Program for Bioengineering Seoul National University Seoul 08826 Republic of Korea. Seoul National University Hospital Biomedical Research Institute Seoul National University Hospital Seoul 03080 Republic of Korea. Cancer Research Institute Seoul National University College of Medicine Seoul 03080 Republic of Korea. Department of Anesthesiology McGovern Medical School The University of Texas Health Science Center at Houston Houston TX USA. Department of Obstetrics and Gynecology Seoul National University College of Medicine Seoul 03080 Republic of Korea. Department of Pathology Seoul National University College of Medicine Seoul 03080 Republic of Korea. Department of Electrical and Computer Engineering Seoul National University Seoul 08826 Republic of Korea. skwon@snu.ac.kr. Institutes of Entrepreneurial BioConvergence Seoul National University Seoul 08826 Republic of Korea. skwon@snu.ac.kr. Seoul National University Hospital Biomedical Research Institute Seoul National University Hospital Seoul 03080 Republic of Korea. skwon@snu.ac.kr. Cancer Research Institute Seoul National University College of Medicine Seoul 03080 Republic of Korea. yssong@snu.ac.kr. Department of Obstetrics and Gynecology Seoul National University College of Medicine Seoul 03080 Republic of Korea. yssong@snu.ac.kr. Interdisciplinary Program in Cancer Biology Seoul National University College of Medicine Seoul 03080 Republic of Korea. yssong@snu.ac.kr. Biomodulation Department of Agricultural Biotechnology Seoul National University Seoul 03080 Republic of Korea. yssong@snu.ac.kr.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper.

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Vertically aligned nanocomposite oxide thin films with enhanced ionic conductivity 228

Vertically aligned nanocomposite oxide thin films with enhan...

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Symposium on Ionic Conducting Oxide Thin Films - 228th ECS Meeting

作者： Su, Qing Zhang, Wenrui Jacob, Clement Yoon, Daeil Manthiram, Arumugam Wang, Haiyan Department of Material Science and Engineering Texas A and M University College StationTX77843-3128 United States Department of Electrical and Computer Engineering Texas A and M University College StationTX77843-3128 United States Electrochemical Energy Laboratory Materials Science and Engineering Program University of Texas at Austin AustinTX78712 United States

ISBN: (纸本)9781607685395

Oxide thin films with high ionic conductivity are crucial for sustainable energy production systems such as fuel cells that provide efficient and environmental-friendly energy. Key materials science efforts are associated with developing such oxides with high ionic conductivity. Of particular importance for developing thin film oxide materials is high performance and good stability in the operation temperature range. In this paper, vertically aligned nanocomposites (VAN) approach is reviewed. It creates vertical interfaces of two oxide materials and provides a new design paradigm to manipulate functionalities that cannot be obtained in individual constituents. Two major examples corresponding to ionic conducting oxide thin films in the VAN form presented are: (1) vertically aligned electrolyte/electrolyte nanocomposites with superior vertical ionic conductivity, and (2) vertically aligned electrode/electrolyte nanocomposites as an interlayer to increase the catalytic reaction probability. Finally, opportunities of tuning functionalities of such VAN systems are introduced. © The Electrochemical Society.

关键词： Nanocomposites

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How engineering students study: Alone, together, or start alone, end together 122

How engineering students study: Alone, together, or start al...

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2015 122nd ASEE Annual Conference and Exposition

作者： Wilson, Denise Allendoerfer, Cheryl Bates, Rebecca A. Smith, Tamara Floyd Plett, Melani I. Veilleux, Nanette M. Department of Electrical Engineering University of Washington Seattle United States College of Engineering University of Washington United States Department of Integrated Engineering Minnesota State University Mankato United States Department of Chemical Engineering Tuskegee University United States Department of Electrical Engineering Seattle Pacific University United States Computer Science and Informatics Program Simmons College BostonMA United States

This study interviewed 33 students from four different institutions in a variety of engineering and computer science majors in order to understand how and why students study the way they do. The institutions involved in this research include two types of Carnegie 2010 Classifications (Master's L and RU-VH), geographical locations in the northwest, northeast, and midwest, both public and private institutions, and enrollments varying from 3,500 to 29,000 students (total undergraduates among all majors). Although this interview pool does not provide a large sample size, and thus results must be interpreted qualitatively and with caution, we found that a majority of students begin their studying alone and seek help only later when they run into trouble with their coursework. Despite the fact that this Start alone, End together model for studying was the predominant approach among interviewees, the reasons for choosing this mode of studying vary. For example, students at the small Women's college in this study reported easy accessibility to faculty as a reason to refrain from studying in groups, while students at the large research university reported a need to focus properly, learn fully, and make the most efficient use of limited time as the prevalent reason for beginning their study alone. Furthermore, when asked how they prefer to study, many students shift from a Start alone, End together model to a Start alone, End alone model, suggesting that students may have unrealistic expectations of being able to complete assignments and study on their own. Still other students, while making the best of Start alone, End together, expressed that they would much rather work in a group from start to finish. The results of our student interviews suggest the need for a larger study that investigates how prevalent the Start alone, End together model of studying is among a large, representative sample of engineering and computer science students and if it is an arrangement that stud

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Sometimes, faculty matter: The contribution of faculty support to future engagement 122

Sometimes, faculty matter: The contribution of faculty suppo...

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2015 122nd ASEE Annual Conference and Exposition

作者： Wilson, Denise Jones, Diane Carlson Bates, Rebecca A. Smith, Tamara Floyd Plett, Melani Veilleux, Nanette M. Department of Electrical Engineering University of Washington Seattle United States Department of Integrated Engineering Minnesota State University Mankato United States Department of Chemical Engineering Tuskegee University United States Department of Electrical Engineering Seattle Pacific University United States Computer Science and Informatics Program Simmons College BostonMA United States

In this study, we examine the contribution of student-faculty interactions to the future engagement of students in their academic endeavors. These relationships were evaluated in a one-year longitudinal study of STEM (including engineering and computer science) students at five different institutions. These five institutions include three types of Carnegie 2010 classifications (Bac-Diverse, Master's L, and RU-VH), four geographical locations including the northwest, northeast, midwest, and southeast, and both public and private institutions with total undergraduate enrollments varying from 1,900 to 29,000 students. Both behavioral (effort, participation) and emotional (positive, negative) aspects of engagement are studied. Results show that significant relationships emerged for three of the five schools between faculty support and engagement. Formal faculty support (that provided in the context of a particular course) predicted effort (a form of behavioral engagement) at the HBCU in this study and also positive emotional engagement for both the HBCU and Teaching institution. Informal faculty support (that provided outside the context of a particular course) predicted participation (another form of behavioral engagement) and positive emotional engagement at the Research institution in the study. These results suggest that institutional culture influences how what faculty do predicts future engagement outcomes for students. At the Research institution, it appears that what happens between faculty and students outside of class influences students while at smaller or teaching-oriented institutions, what faculty do inside a class matters more. These results can provide important insight to faculty as to how to guide their interactions with students at different institutions to make the most difference in students' academic lives. © American Society for engineering Education, 2015.

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROscience 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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Gene expression imputation across multiple brain regions provides insights into schizophrenia risk (vol 51, pg 659, 2019)

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NATURE GENETICS 2019年第6期51卷 1068-1068页

作者： Huckins, Laura M. Dobbyn, Amanda Ruderfer, Douglas M. Hoffman, Gabriel Wang, Weiqing Pardinas, Antonio F. Rajagopal, Veera M. Als, Thomas D. Nguyen, Hoang T. Girdhar, Kiran Boocock, James Roussos, Panos Fromer, Menachem Kramer, Robin Domenici, Enrico Gamazon, Eric R. Purcell, Shaun Demontis, Ditte Borglum, Anders D. Walters, James T. R. O'Donovan, Michael C. Sullivan, Patrick Owen, Michael J. Devlin, Bernie Sieberts, Solveig K. Cox, Nancy J. Im, Hae Kyung Sklar, Pamela Stahl, Eli A. Pamela Sklar Division of Psychiatric Genomics Icahn School of Medicine at Mount Sinai New York NY USA Department of Genetics and Genomics Icahn School of Medicine at Mount Sinai New York NY USA Department of Psychiatry Icahn School of Medicine at Mount Sinai New York NY USA Icahn Institute for Genomics and Multiscale Biology Icahn School of Medicine at Mount Sinai New York NY USA Vanderbilt University Medical Center Nashville TN USA MRC Centre for Neuropsychiatric Genetics and Genomics Cardiff University Cardiff UK Department of Biomedicine Aarhus University Aarhus Denmark The Lundbeck Foundation Initiative for Integrative Psychiatric Research iPSYCH Denmark Center for Integrative Sequencing Aarhus University Aarhus Denmark Department of Human Genetics David Geffen School of Medicine University of California Los Angeles Los Angeles CA USA Human Brain Collection Core National Institute of Mental Health Bethesda MD USA Laboratory of Neurogenomic Biomarkers Centre for Integrative Biology (CIBIO) University of Trento Trento Italy Clare Hall University of Cambridge Cambridge UK University of North Carolina at Chapel Hill Chapel Hill NC USA Karolinska Institutet Stockholm Sweden Department of Psychiatry University of Pittsburgh Pittsburgh PA USA Systems Biology Sage Bionetworks Seattle WA USA Section of Genetic Medicine Department of Medicine University of Chicago Chicago IL USA Integrated Technology Research Laboratories Pharmaceutical Research Division Takeda Pharmaceutical Company Limited Fujisawa Japan Neuropsychiatry Section Department of Psychiatry Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Neuropsychiatric Signaling Program Department of Psychiatry Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Psychiatry JJ Peters Virginia Medical Center Bronx NY USA Department of Neuroscience Icahn School of Medicine at Mount Sinai New York New York NY USA Friedman Brain Institute

Transcriptomic imputation approaches combine eQTL reference panels with large-scale genotype data in order to test associations between disease and gene expression. These genic associations could elucidate signals in complex genome-wide association study (GWAS) loci and may disentangle the role of different tissues in disease development. We used the largest eQTL reference panel for the dorso-lateral prefrontal cortex (DLPFC) to create a set of gene expression predictors and demonstrate their utility. We applied DLPFC and 12 GTEx-brain predictors to 40,299 schizophrenia cases and 65,264 matched controls for a large transcriptomic imputation study of schizophrenia. We identified 413 genic associations across 13 brain regions. Stepwise conditioning identified 67 non-MHC genes, of which 14 did not fall within previous GWAS loci. We identified 36 significantly enriched pathways, including hexosaminidase-A deficiency, and multiple porphyric disorder pathways. We investigated developmental expression patterns among the 67 non-MHC genes and identified specific groups of pre- and postnatal expression.

关键词： Gene expression Genome-wide association studies Schizophrenia Transcriptomics

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Clinical and Genetic Relevance of Somatic Mutations in Core Binding Factor (CBF) Acute Myeloid Leukemia (AML) Patients Using Serial Sequencing

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BLOOD 2017年 130卷 3955-3955页

作者： Kim, Taehyung Moon, Joon Ho Ahn, Jae-Sook Tyndel, Marc S. Kim, Yeo-Kyeoung Lee, Seung-Shin Ahn, Seo-Yeon Jung, Sung-Hoon Yang, Deok-Hwan Lee, Je-Jung Choi, Seunghyun Lee, Yoojin Sohn, Sang Kyun Min, Yoo Hong Cheong, June-Won Kim, Hyeoung-Joon Zhang, Zhaolei Kim, Dennis (Dong-Hwong) Donnelly Centre for Cellular and Biomolecular Research University of Toronto Toronto Canada Department of Computer Science University of Toronto Toronto Canada Kyungpook National University Hospital Daegu Korea Republic of (South) Department of Hematology-Oncology Chonnam National University Hwasun Hospital Hwasun-Gun Korea Republic of (South) The Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto Toronto Canada Genome Research Center for Hematopoietic Disease Chonnam National University Hwasun Hospital Hwasun Korea Republic of (South) Department of Hematology-Oncology Chonnam National University Hwasun Hospital Hwasun Korea Republic of (South) Department of Hematology-Oncology Chonnam National University Hwasun Hospital Hwasun-gun Korea Republic of (South) Hematology-Oncology Chonnam National University Hwasun Hospital Hwasun Korea Republic of (South) Hematopoietic Genomics Research Centre Chonnam National University Hwasun Hospital Hwasun-gun Korea Republic of (South) Hematology/Oncology Kyungpook National University Hospital Daegu Korea Republic of (South) Yonsei Univ. College of Med. Seoul KOR Yonsei University College of Medicine Seoul KOR Department of Molecular Genetics University of Toronto Toronto Canada Blood and Marrow Transplant Program Department of Medical Oncology and Hematology Princess Margaret Cancer Centre University Health Network Toronto Canada

3955

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Photonic Crystals: Light‐Patterned Crystallographic Direction of a Self‐Organized 3D Soft Photonic Crystal (Adv. Mater. 42/2017)

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Advanced Materials 2017年第42期29卷

作者： Zhi‐Gang Zheng Cong‐Long Yuan Wei Hu Hari Krishna Bisoyi Ming‐Jie Tang Zhen Liu Pei‐Zhi Sun Wei‐Qiang Yang Xiao‐Qian Wang Dong Shen Yannian Li Fangfu Ye Yan‐Qing Lu Guoqiang Li Quan Li Department of Physics East China University of Science and Technology Shanghai 200237 China Liquid Crystal Institute and Chemical Physics Interdisciplinary Program Kent State University Kent OH 44242 USA National Laboratory of Solid State Microstructures Collaborative Innovation Center of Advanced Microstructures and College of Engineering and Applied Sciences Nanjing University Nanjing 210093 China Beijing National Laboratory for Condensed Matter Physics and CAS Key Laboratory of Soft Matter Physics Institute of Physics Chinese Academy of Sciences Beijing 100190 China Visual and Biomedical Optics Lab Department of Ophthalmology and Visual Science and Department of Electrical and Computer Engineering Ohio State University Columbus OH 43212 USA

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Effectuating evidence-based transformative pedagogical approaches in STEM foundational courses - A pilot study 122

Effectuating evidence-based transformative pedagogical appro...

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2015 122nd ASEE Annual Conference and Exposition

作者： Zhao, Xiang Majid, Fayequa Montgomery, V. Trent Glenn, Chance M. Stewart, Juarine Department of Electrical Engineering and Computer Science Alabama A and M University United States Coordinator of Mathematics Program Alabama A and M University United States Alabama A and M University United States College of Engineering Technology and Physical Sciences Alabama A and M University HuntsvilleAL United States Alabama A and M University Centers for Excellence in Teaching and Learning United States

A critical juncture in the undergraduate STEM education pathway is the first two years of college when the majority of attrition occurs because students experience many academic challenges in gatekeeping courses. Among many factors to this failure, an important one is attributed to the lack of engaging pedagogy inside and outside classrooms. Through this NSF WIDER program sponsored planning project, a team of faculty and administrators at Alabama Agricultural and Mechanical University (AAMU) are implementing evidence-based instructional practices in foundation courses in STEM curricula. Recognizing that it is essential to implement effective pedagogy in gateway courses where most attrition occurs, this project has conducted a pilot study, which focuses on: (1) collecting baseline data about the extent to which evidence-based practices are currently being used in STEM gateway courses;(2) redesigning three foundational gateway courses in electrical engineering, computer science and mathematics by applying evidence-based teaching strategies-student-centered problem-based teaching(SC-PBT), example-based teaching, and just-in-time teaching (JITT);(3) incorporating classroom and laboratory activities that require active student engagement, conceptual understanding, critical thinking, and problem-solving;and (4) Employing model students to lead Supplementary Instruction (SI) courses with evidence-based peer-to-peer learning strategies. The student assessment data indicated the effectiveness of the evidence-based instructional practices, the SI peer-to-peer learning strategies, as well as existing engagement challenges. In addition, positive feedback was obtained from the student survey data on the redesigned courses. The broader impact of this project is twofold. First, data generated through assessment and evaluation is expected to support the theoretical rationale that systematic change in STEM education must include a wide spectrum of stakeholders (administrators, facul

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROscience 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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