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Effect of Light Curing and Dark Reaction Phases on the Thermomechanical Properties of a Bis-GMA Based Dental Restorative Material

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Journal of Applied Biomaterials & Functional Materials 2018年第2期7卷 132 - 140页

作者： Roberto De Santis Antonio Gloria Hidehiko Sano Eugenio Amendola Davide Prisco Francesco Mangani Sandro Rengo Luigi Ambrosio Luigi Nicolais Institute of Composite and Biomedical Materials National Research Council Naples - Italy Department of Restorative Dentistry Division of Oral Health Science Hokkaido University Graduate School of Dental Medicine Sapporo - Japan School of Dentistry University of Naples Federico II Naples - Italy Department of Odontostomatological Science University of Rome Tor Vergata Rome - Italy Department of Materials and Production Engineering University of Naples Federico II Naples - Italy

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Analysis of Mechanical Behavior of Composite Tissues Using Vibrational Optical Coherence Tomography

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World Journal of Mechanics 2017年第10期7卷 271-282页

作者： Frederick H. Silver Ruchit G. Shah Department of Pathology and Laboratory Medicine Robert Wood Johnson Medical School Rutgers The State University of New Jersey Piscataway NJ USA Graduate Program in Biomedical Engineering Rutgers The State University of New Jersey Piscataway NJ USA

Extracellular matrices (ECMs) found in vertebrate tissues are fiber reinforced composite materials that prevent premature mechanical failure, store, transmit, and dissipate mechanical energy generated by the musculoskeletal system. We have developed a new method using optical cohesion tomography and vibrational analysis to non-destructively and non-invasively measure the mechanical properties of composite tissues and polymeric materials. In addition, this method can be used to measure the moduli of individual components of composite materials and perform “mechanical spectroscopy” on materials. In addition, we propose that measurement of the resonant frequency of a material minimizes the viscoelastic behavior of a composite material. This approach simplifies the analysis of mechanical behavior of polymers and others materials that demonstrate time-dependence to their properties.

关键词： Collagen Fibers Elastic Fibers Dermis Mechanical Properties Optical Coherence Tomography Vibrational Analysis Skin Cartilage Bone Composites

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Data-driven brain network models predict individual variability in behavior

arXiv

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arXiv 2018年

作者： Bansal, Kanika Medaglia, John D. Bassett, Danielle S. Vettel, Jean M. Muldoon, Sarah F. Department of Mathematics University at Buffalo BuffaloNY United States U.S. Army Research Laboratory Aberdeen Proving GroundMD United States Department of Biomedical Engineering Columbia University New YorkNY United States Department of Psychology Drexel University PhiladelphiaPA United States Department of Neurology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Biomedical Engineering University of Pennsylvania PhiladelphiaPA United States Department of Electrical and Systems Engineering University of Pennsylvania PhiladelphiaPA United States Department of Physics and Astronomy University of Pennsylvania PhiladelphiaPA United States Department of Psychological and Brain Sciences University of California Santa BarbaraCA United States Computational and Data-Enabled Science and Engineering Program University at Buffalo-SUNY BuffaloNY United States

The relationship between brain structure and function has been probed using a variety of approaches, but how the underlying structural connectivity of the human brain drives behavior is far from understood. To investigate the effect of anatomical brain organization on human task performance, we use a data-driven computational modeling approach and explore the functional effects of naturally occurring structural differences in brain networks. We construct personalized brain network models by combining anatomical connectivity estimated from diffusion spectrum imaging of individual subjects with a nonlinear model of brain dynamics. By performing computational experiments in which we measure the excitability of the global brain network and spread of synchronization following a targeted computational stimulation, we quantify how individual variation in the underlying connectivity impacts both local and global brain dynamics. We further relate the computational results to individual variability in the subjects' performance of three language-demanding tasks both before and after transcranial magnetic stimulation to the left-inferior frontal gyrus. Our results show that task performance correlates with either local or global measures of functional activity, depending on the complexity of the task. By emphasizing differences in the underlying structural connectivity, our model serves as a powerful tool to predict individual differences in task performances, to dissociate the effect of targeted stimulation in tasks that differ in cognitive complexity, and to pave the way for the development of personalized therapeutics. Copyright © 2018, The Authors. All rights reserved.

关键词： Digital storage

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Polymer-based membranes for solvent-resistant nanofiltration:A review

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Chinese Journal of Chemical engineering 2017年第11期25卷 1653-1675页

作者： Slow Kee Lira Kunli Goh Tae-Hyun Bae Rong Wang Singapore Membrane Technology Center Nanyang Environment and WaterResearch InstituteNanyang Technological UniversityI Cleantech Loop637141 SingaporeSingapore Nanyang Environment and Water Research Institute Interdisciplinary Graduate SchoolNanyang Technological University637141 SingaporeSingapore School of Chemical and Biomedical Engineenng Nanyang Technological University62 Nanyang Drive637459 SingaporeSingapore School of Civil and Environmental Engineering Nanyang Technological University50 NanyangAvenue639798 SingaporeSingapore

Separation of organic mixture is an inevitable process in most modern industrial processes. In the quest for a more sustainable and efficient separation, solvent-resistant nanofiltration(SRNF) has emerged as a promising answer. This is because SRNF is a membrane-based process which offers the key advantages of high efficacy and low energy intensity separation. In particular, polymer-based membranes can offer compelling opportunities for SRNF with unprecedented cost-effectiveness. As a result, intensive research efforts have been devoted into developing novel polymer-based membranes with solvent-resistant capacities as well as exploring potential applications in different types of industries. In this review, we aim to give an overview of the recent progress in the development of the state-of-the-art polymer-based membranes for SRNF in the first section. Emerging nanomaterials for mixed matrix and thin film nanocomposite membranes are also covered in this section. This is followed by a discussion on the current status of membrane engineering and SRNF membrane commercialization. In the third section, we highlight recent efforts in adopting SRNF for relevant industrial applications such as food, bio-refinery, petrochemical, fine chemical and pharmaceutical industries followed by separations of enantiomers in stereochemistry, homogeneous catalysis and ionic liquids. Finally, we offer a perspective and provide deeper insights to help shape future research direction in this very important field of SRNF.

关键词： Nanofiltration Solvent-resistant Polymeric membranes Nanomaterials Crosslinking Industrial applications

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Author Correction: Single-cell guided prenatal derivation of primary fetal epithelial organoids from human amniotic and tracheal fluids

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Nature medicine 2025年第2期31卷 699页

作者： Mattia Francesco Maria Gerli Giuseppe Calà Max Arran Beesley Beatrice Sina Lucinda Tullie Kylin Yunyan Sun Francesco Panariello Federica Michielin Joseph R Davidson Francesca Maria Russo Brendan C Jones Dani Do Hyang Lee Savvas Savvidis Theodoros Xenakis Ian C Simcock Anna A Straatman-Iwanowska Robert A Hirst Anna L David Christopher O'Callaghan Alessandro Olivo Simon Eaton Stavros P Loukogeorgakis Davide Cacchiarelli Jan Deprest Vivian S W Li Giovanni Giuseppe Giobbe Paolo De Coppi Department of Surgical Biotechnology Division of Surgery and Interventional Science University College London London UK. m.gerli@ucl.ac.uk. Great Ormond Street Institute of Child Health University College London London UK. m.gerli@ucl.ac.uk. Department of Surgical Biotechnology Division of Surgery and Interventional Science University College London London UK. Great Ormond Street Institute of Child Health University College London London UK. Politecnico di Milano Milan Italy. Stem Cell and Cancer Biology Laboratory The Francis Crick Institute London UK. Armenise/Harvard Laboratory of Integrative Genomics Telethon Institute of Genetics and Medicine Pozzuoli Italy. Elizabeth Garrett Anderson Institute for Women's Health University College London London UK. Department of Development and Regeneration Woman and Child and UZ Leuven Clinical Department of Obstetrics and Gynaecology KU Leuven Leuven Belgium. Department of Medical Physics and Biomedical Engineering University College London London UK. Department of Radiology Great Ormond Street Hospital London UK. Department of Respiratory Sciences University of Leicester Leicester UK. Specialist Neonatal and Paediatric Surgery Great Ormond Street Hospital for Children NHS Foundation Trust London UK. Department of Translational Medicine University of Naples Federico II Naples Italy. Genomics and Experimental Medicine Program Scuola Superiore Meridionale Naples Italy. Great Ormond Street Institute of Child Health University College London London UK. p.decoppi@ucl.ac.uk. Department of Development and Regeneration Woman and Child and UZ Leuven Clinical Department of Obstetrics and Gynaecology KU Leuven Leuven Belgium. p.decoppi@ucl.ac.uk. Specialist Neonatal and Paediatric Surgery Great Ormond Street Hospital for Children NHS Foundation Trust London UK. p.decoppi@ucl.ac.uk. Medical and Surgical Department of the Fetus Newborn and Infant Ospedale Pediatrico Bambino Gesù IRCCS Rome Italy. p.decoppi@ucl.ac.uk. NIHR G

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Desirability, availability, credit assignment, category learning, and attention: Cognitive-emotional and working memory dynamics of orbitofrontal, ventrolateral, and dorsolateral prefrontal cortices

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Brain and neuroscience advances 2018年 2卷 2398212818772179页

作者： Stephen Grossberg Center for Adaptive Systems Graduate Program in Cognitive and Neural Systems Departments of Mathematics & Statistics Psychological & Brain Sciences Biomedical Engineering Boston University Boston MA USA.

BACKGROUND:The prefrontal cortices play an essential role in cognitive-emotional and working memory processes through interactions with multiple brain regions. METHODS:This article further develops a unified neural architecture that explains many recent and classical data about prefrontal function and makes testable predictions. RESULTS:Prefrontal properties of desirability, availability, credit assignment, category learning, and feature-based attention are explained. These properties arise through interactions of orbitofrontal, ventrolateral prefrontal, and dorsolateral prefrontal cortices with the inferotemporal cortex, perirhinal cortex, parahippocampal cortices; ventral bank of the principal sulcus, ventral prearcuate gyrus, frontal eye fields, hippocampus, amygdala, basal ganglia, hypothalamus, and visual cortical areas V1, V2, V3A, V4, middle temporal cortex, medial superior temporal area, lateral intraparietal cortex, and posterior parietal cortex. Model explanations also include how the value of visual objects and events is computed, which objects and events cause desired consequences and which may be ignored as predictively irrelevant, and how to plan and act to realise these consequences, including how to selectively filter expected versus unexpected events, leading to movements towards, and conscious perception of, expected events. Modelled processes include reinforcement learning and incentive motivational learning; object and spatial working memory dynamics; and category learning, including the learning of object categories, value categories, object-value categories, and sequence categories, or list chunks. CONCLUSION:This article hereby proposes a unified neural theory of prefrontal cortex and its functions.

关键词： Category learning amygdala basal ganglia cognitive-emotional interactions contextual cueing dorsolateral prefrontal cortex frontal eye fields incentive motivational learning inferotemporal cortex orbitofrontal cortex parahippocampal cortex perirhinal cortex reinforcement learning ventral bank of the principal sulcus ventral prearcuate gyrus ventrolateral prefrontal cortex working memory

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1014 Sleep Monitoring in Mild Cognitive Impairment Using Noninvasive, Under the Sheet Sensors

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Sleep 2018年第SUPPL_1期41卷 A376-A376页

作者： Almaghasilah, A Daigle, K Gilbert, C Sulinski, E Aronis, J Bouchard, A Delp, T Singer, C Abedi, A Hayes, M Electrical and Computer Engineering University of Maine Orono ME Psychological Sciences University of Maine Orono ME Geriatric Neuropsychiatry Program Acadia Hospital Bangor ME Graduate School of Biomedical Sciences & Engineering Orono ME

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Correction to: Regional brain volume predicts response to methylphenidate treatment in individuals with ADHD

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BMC psychiatry 2021年第1期21卷 102页

作者： Jung-Chi Chang Hsiang-Yuan Lin Jinglei Lv Wen-Yih Issac Tseng Susan Shur-Fen Gau Department of Psychiatry National Taiwan University Hospital Taipei Taiwan. Department of Psychiatry National Taiwan University Hospital Hsin-Chu Branch Hsin-Chu Taiwan. Graduate Institute of Clinical Medicine College of Medicine National Taiwan University Taipei Taiwan. Azrieli Adult Neurodevelopmental Centre and Adult Neurodevelopment and Geriatric Psychiatry Division Centre for Addiction and Mental Health Toronto Ontario Canada. Department of Psychiatry University of Toronto Toronto Ontario Canada. Sydney Imaging and School of Biomedical Engineering University of Sydney Camperdown NSW Australia. Graduate Institute of Brain and Mind Sciences National Taiwan University College of Medicine Taipei Taiwan. Institute of Medical Device and Imaging National Taiwan University College of Medicine Taipei Taiwan. Department of Psychiatry National Taiwan University Hospital Taipei Taiwan. gaushufe@ntu.edu.tw. Graduate Institute of Clinical Medicine College of Medicine National Taiwan University Taipei Taiwan. gaushufe@ntu.edu.tw. Graduate Institute of Brain and Mind Sciences National Taiwan University College of Medicine Taipei Taiwan. gaushufe@ntu.edu.tw. Department of Psychiatry College of Medicine National Taiwan University Taipei Taiwan. gaushufe@ntu.edu.tw.

An amendment to this paper has been published and can be accessed via the original article.

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胰岛素抵抗的分子机制及中药的干预作用

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中国中药杂志 2019年第7期44卷 1289-1294页

作者： YEE Hong-yun 杨晶晶万毅刚 CHONG Fee-lan 吴薇龙燕韩文贝刘莹露涂玥姚建南京中医药大学中西医结合鼓楼临床医学院中医科江苏南京210008 太仓市中医医院肾内科江苏太仓215400 南京大学医学院附属鼓楼医院中医科江苏南京210008 Management and Science University Kuala Lumpur40100 南京中医药大学第二临床医学院中医养生学教研室江苏南京210023 Division of Molecular Signaling Department of Advanced Biomedical ResearchInterdisciplinary Graduate School of Medicine and EngineeringUniversity of Yamanashi

胰岛素抵抗(insulin resistance,IR)及其信号调控途径紊乱是很多胰岛素靶器官或组织发生病变并缓慢进展的机制之一。其临床诊断指标是基于空腹血糖和空腹血清胰岛素的"稳态模型评估胰岛素抵抗(the homeostatic model of insulin re... 详细信息

胰岛素抵抗(insulin resistance,IR)及其信号调控途径紊乱是很多胰岛素靶器官或组织发生病变并缓慢进展的机制之一。其临床诊断指标是基于空腹血糖和空腹血清胰岛素的"稳态模型评估胰岛素抵抗(the homeostatic model of insulin resistance,HOMA-IR)"指数,此外,包括脂联素在内的新兴IR生物标记物也可作为诊断的参考指标;其影响因素有肥胖、慢性微炎症、缺乏运动等;其主要信号调控途径包括胰岛素受体底物1(insulin receptor substrate 1,IRS1)/磷脂酰肌醇3激酶(phosphatidylinositol-3-kinase,PI3K)/丝氨酸-苏氨酸激酶(serine-threonine kinase,Akt)通路、丝裂原活化蛋白激酶(mitogen-activated protein kinase,MAPK)通路、Smad3通路等。临床上,可通过促进胰岛素分泌、增强胰岛素信号活性来提高胰岛素敏感性,改善IR。目前,用以治疗IR的胰岛素增敏剂不仅有噻唑烷二酮及其衍生物,还有新近发现的二甲双胍和维生素D。此外,一些单味中药提取物和中药复方,如黄蜀葵花总黄酮、黄连素、黄芪多糖以及黄芪汤等也有改善IR的作用。在慢性肾脏病领域,针对胰岛素靶器官的常见病变——糖尿病早期肾损害,基于足细胞IR信号调控途径的中药干预性研究是今后的重要方向之一。

关键词：胰岛素抵抗中药分子机制信号通路

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Effect of micro/nano-patterned surfaces on cell adhesion of Ca9-22 cells

Effect of micro/nano-patterned surfaces on cell adhesion of ...

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作者： Kaga, Naoyuki Horiuchi, Rumi Yokoyama, Atsuro Akasaka, Tsukasa Yoshida, Yasuhiro Department of Oral Functional Prosthodontics Hokkaido University Graduate School of Dental Medicine Kita 13 Nishi 7 Kita-ku Sapporo060-8586 Japan Department of Biomedical Materials and Engineering Hokkaido University Graduate School of Dental Medicine Kita 13 Nishi 7 Kita-ku Sapporo060-8586 Japan

Surface topography influences cell growth and differentiation. In this study, we used a nano-imprinting method to develop a titanium sheet with 500 nm-, 1 μm-, and 2 μm-wide grooved and pillared structures. We investigated the effects of the surfaces with the micro- and nano-structures on Ca9-22 cell adhesion and proliferation. Ca9-22 cells were cultured in DMEM containing 10% fetal bovine serum and counted adhered cells at 1 and 24 h post-culture. Scanning electron microscopy was used to assess cell morphology. Immunofluorescence cell staining was used to evaluate vinculin formation to observe the presence of focal contacts at 24 h. There was no difference in cell adhesion between cells cultured on a plane or groove after 1 h. However, at 24 h, the adhesion of cells cultured on the groove was reduced. In addition, the cell adhesion count on the pillar was less than that of cells cultured on a plane at both 1 hour and 24 h post-seeding. Furthermore, in the groove of the Ti sheet after 1 and 24 h, cell expansion occurred in the grooved direction. These results demonstrate that the micro and nano-grooved and pillared structures on the titanium sheet control Ca9-22 cell adhesion and orientation. © 2017 The Surface Science Society of Japan.

关键词： Cell adhesion

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