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Transistors: Biaxially Stretchable Fully Elastic Transistors Based on Rubbery Semiconductor Nanocomposites (Adv. Mater. Technol. 6/2018)

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Advanced Materials Technologies 2018年第6期3卷

作者： Hae-Jin Kim Anish Thukral Sahil Sharma Cunjiang Yu Department of Mechanical Engineering University of Houston Houston TX 77204 USA Materials Science and Engineering Program University of Houston Houston TX 77204 USA Department of Electrical and Computer Engineering University of Houston Houston TX 77204 USA Department of Biomedical Engineering University of Houston Houston TX 77204 USA

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Biomechanical Effects of Using a Compression Screw to Contour the TomoFix Plate on the Wedge Stability

Biomechanical Effects of Using a Compression Screw to Contou...

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中华医学会第十八届骨科学术会议暨第十一届COA国际学术大会

作者： Chu AnLuo Shang ChihLin Graduate Institute of Biomedical Engineering

Several plate systems for high tibial osteotomy(HTO)have been developed to stabilize the opening wedge of the osteotomized *** them,the TomoFix system with the quasi-straight and T-shaped design has been widely adopte... 详细信息

关键词： Biomechanical Effects of Using a Compression Screw to Contour the TomoFix Plate on the Wedge Stability

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Community evaluation of glycoproteomics informatics solutions reveals high-performance search strategies for serum glycopeptide analysis (vol 18, pg 1304, 2021)

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NATURE METHODS 2022年第1期19卷 130-130页

作者： Kawahara, Rebeca Chernykh, Anastasia Alagesan, Kathirvel Bern, Marshall Cao, Weiqian Chalkley, Robert J. Cheng, Kai Choo, Matthew S. Edwards, Nathan Goldman, Radoslav Hoffmann, Marcus Hu, Yingwei Huang, Yifan Kim, Jin Young Kletter, Doron Liquet, Benoit Liu, Mingqi Mechref, Yehia Meng, Bo Neelamegham, Sriram Nguyen-Khuong, Terry Nilsson, Jonas Pap, Adam Park, Gun Wook Parker, Benjamin L. Pegg, Cassandra L. Penninger, Josef M. Phung, Toan K. Pioch, Markus Rapp, Erdmann Sakalli, Enes Sanda, Miloslav Schulz, Benjamin L. Scott, Nichollas E. Sofronov, Georgy Stadlmann, Johannes Vakhrushev, Sergey Y. Woo, Christina M. Wu, Hung-Yi Yang, Pengyuan Ying, Wantao Zhang, Hui Zhang, Yong Zhao, Jingfu Zaia, Joseph Haslam, Stuart M. Palmisano, Giuseppe Yoo, Jong Shin Larson, Goran Khoo, Kai-Hooi Medzihradszky, Katalin F. Kolarich, Daniel Packer, Nicolle H. Thaysen-Andersen, Morten Department of Molecular Sciences Macquarie University Sydney NSW Australia Institute for Glycomics Griffith University Gold Coast Campus Southport QLD Australia Biomolecular Discovery Research Centre Macquarie University Sydney NSW Australia Protein Metrics Inc. Cupertino CA USA Institutes of Biomedical Sciences and the NHC Key Laboratory of Glycoconjugates Research Fudan University Shanghai China UCSF School of Pharmacy Department of Pharmaceutical Chemistry San Francisco CA USA BRC Laboratory of Proteomics Research Szeged Hungary State University of New York Buffalo NY USA Analytics Group Bioprocessing Technology Institute Agency for Science Technology and Research Singapore Singapore Clinical and Translational Glycoscience Research Center (CTGRC) Georgetown University Washington DC USA Department of Biochemistry and Molecular & Cellular Biology Georgetown University Washington DC USA Department of Oncology Georgetown University Washington DC USA Max Planck Institute for Dynamics of Complex Technical Systems Bioprocess Engineering Magdeburg Germany glyXera GmbH Magdeburg Germany Department of Pathology The Johns Hopkins University Baltimore MD USA Department of Chemistry and Biochemistry Texas Tech University Lubbock TX USA Research Center of Bioconvergence Analysis Korea Basic Science Institute Daejeon Republic of Korea Graduate School of Analytical Science and Technology Chungnam National University Daejeon Republic of Korea Department of Mathematics and Statistics Macquarie University Sydney NSW Australia CNRS Laboratoire de Mathématiques et de leurs Applications de PAU E2S-UPPA Pau France State Key Laboratory of Proteomics Beijing Institute of Lifeomics Beijing Proteome Research Center National Center for Protein Sciences (Beijing) Beijing China Proteomics Core Facility Sahlgrenska academy University of Gothenburg Gothenburg Sweden Doctoral School in Biology Faculty of Science and Informatics University of Szeged Szeged H

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Direct observation of λ-DNA molecule reversal movement within microfluidic channels under electric field with single molecule imaging technique

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Chinese Physics B 2016年第7期25卷 525-533页

作者：杨凤云王凯歌孙聃赵伟王海青何鑫王归仁白晋涛 Institute of Photonics & Photo-Technology National Center for International Research of Photoelectric Technology & Nano-functional MaterialsState Key Laboratory of Cultivation Base for Photoelectric Technology and Functional MaterialsKey Laboratory of Optoelectronic Technology of Shaanxi Province Northwest University Mechanical Engineering Department & Biomedical Engineering Program University of South Carolina

The electrodynamic characteristics of single DNA molecules moving within micro-/nano-fluidic channels are important in the design of biomedical chips and bimolecular sensors. In this study, the dynamic properties of λ-DNA molecules transferring along the microchannels driven by the external electrickinetic force were systemically investigated with the single molecule fluorescence imaging technique. The experimental results indicated that the velocity of DNA molecules was strictly dependent on the value of the applied electric field and the diameter of the channel. The larger the external electric field, the larger the velocity, and the more significant deformation of DNA molecules. More meaningfully, it was found that the moving directions of DNA molecules had two completely different directions：（i） along the direction of the external electric field, when the electric field intensity was smaller than a certain threshold value;（ii） opposite to the direction of the external electric field, when the electric field intensity was greater than the threshold electric field *** reversal movement of DNA molecules was mainly determined by the competition between the electrophoresis force and the influence of electro-osmosis flow. These new findings will theoretically guide the practical application of fluidic channel sensors and lab-on-chips for precisely manipulating single DNA molecules.

关键词： reversal movement electrophoresis electroosmosis electric field threshold value

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Author Correction: BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

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Nature methods 2024年第10期21卷 1959页

作者： Linus Manubens-Gil Zhi Zhou Hanbo Chen Arvind Ramanathan Xiaoxiao Liu Yufeng Liu Alessandro Bria Todd Gillette Zongcai Ruan Jian Yang Miroslav Radojević Ting Zhao Li Cheng Lei Qu Siqi Liu Kristofer E Bouchard Lin Gu Weidong Cai Shuiwang Ji Badrinath Roysam Ching-Wei Wang Hongchuan Yu Amos Sironi Daniel Maxim Iascone Jie Zhou Erhan Bas Eduardo Conde-Sousa Paulo Aguiar Xiang Li Yujie Li Sumit Nanda Yuan Wang Leila Muresan Pascal Fua Bing Ye Hai-Yan He Jochen F Staiger Manuel Peter Daniel N Cox Michel Simonneau Marcel Oberlaender Gregory Jefferis Kei Ito Paloma Gonzalez-Bellido Jinhyun Kim Edwin Rubel Hollis T Cline Hongkui Zeng Aljoscha Nern Ann-Shyn Chiang Jianhua Yao Jane Roskams Rick Livesey Janine Stevens Tianming Liu Chinh Dang Yike Guo Ning Zhong Georgia Tourassi Sean Hill Michael Hawrylycz Christof Koch Erik Meijering Giorgio A Ascoli Hanchuan Peng Institute for Brain and Intelligence Southeast University Nanjing China. Microsoft Corporation Redmond WA USA. Tencent AI Lab Bellevue WA USA. Computing Environment and Life Sciences Directorate Argonne National Laboratory Lemont IL USA. Kaya Medical Seattle WA USA. University of Cassino and Southern Lazio Cassino Italy. Center for Neural Informatics Structures and Plasticity Krasnow Institute for Advanced Study George Mason University Fairfax VA USA. Faculty of Information Technology Beijing University of Technology Beijing China. Beijing International Collaboration Base on Brain Informatics and Wisdom Services Beijing China. Nuctech Netherlands Rotterdam the Netherlands. Janelia Research Campus Howard Hughes Medical Institute Ashburn VA USA. Department of Electrical and Computer Engineering University of Alberta Edmonton Alberta Canada. Ministry of Education Key Laboratory of Intelligent Computation and Signal Processing Anhui University Hefei China. Paige AI New York NY USA. Scientific Data Division and Biological Systems and Engineering Division Lawrence Berkeley National Lab Berkeley CA USA. Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience UC Berkeley Berkeley CA USA. RIKEN AIP Tokyo Japan. Research Center for Advanced Science and Technology (RCAST) The University of Tokyo Tokyo Japan. School of Computer Science University of Sydney Sydney New South Wales Australia. Texas A&M University College Station TX USA. Cullen College of Engineering University of Houston Houston TX USA. Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan. National Centre for Computer Animation Bournemouth University Poole UK. PROPHESEE Paris France. Department of Neuroscience Columbia University New York NY USA. Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University New York NY USA. Department of Computer Science Northern Illinois Universit

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Effects of Milling Speed and Sintering on the Formation of Akermanite (Ca2MgSi2O7) Bioceramics

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Journal of Physics: Conference Series 2018年第1期1082卷

作者： Ahmad-Fauzi Mohd Noor Yanny-Marliana Baba Ismail Masakazu Kawashita Aye Aye Thant Myat Myat-Htun School of Materials and Mineral Resources Engineering Engineering Campus Universiti Sains Malaysia 14300 Nibong Tebal Penang Malaysia. Graduate School of Biomedical Engineering Tohoku University Sendai 980-8579 Japan Department of Physics University of Yangon 11041 Kamayut Yangon Myanmar.

The aim of the present work is to study the effect of different milling speeds on the preparation of akermanite ceramics. In this study, akermanite (Ca2MgSi2O7) was synthesized by high speed planetary ball milling and mixing method. Calcium oxide (CaO), magnesium oxide (MgO) and silicon dioxide (SiO2) were used as initial reactants. The starting materials were milled with molar ratio of 2:1:2, respectively, using ball-to-powder ratio 10:1 at different milling speeds of 300 rpm, 400 rpm and 500 rpm. After synthesis, the powders were pelletized to form pellets (13 mm) with 150 MPa by uniaxial pressing. The pellets were then sintered at 1250°C for 3h. Phase analysis by X-ray diffraction (XRD), surface morphology by Field Emission Scanning Electron Microscopy (FESEM), Brunauer-Emmet-Teller (BET) specific surface area analysis, linear shrinkage, porosity and density measurement were performed on the milled and sintered samples. It was found that milling at 500 rpm resulted in powder with largest surface area (108 m2/g), indicating the finest size of powder. FESEM observations showed that the sintered-akermanite ceramics from 500 rpm milling at 1250°C were the densest with microcrystalline appearance and clear grain boundaries, while milling at 300 rpm and 400 rpm showed some pores in the sintered samples.

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Effect of mouth-opening levels on sound field gain in the ear canal 45

Effect of mouth-opening levels on sound field gain in the ea...

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45th International Congress and Exposition on Noise Control engineering: Towards a Quieter Future, INTER-NOISE 2016

作者： Xiao, Jimg-Hong Yu, Jen-Fang Lee, Kun-Che Chiu, Hsiu-Hui Graduate Institute of Medical Mechatronics Chang Gung University Taiwan Taiouan Interdisciplinary Otolaryngology Laboratory Chang Gung University Taiwan Ph.D. Program in Biomedical Engineering College of Engineering Chang Gung University Taiwan

The human ear canal can become deformed when the mouth opens and closes, changing the sound field in the external auditory canal. Thus, measuring the mandibular movement trajectory may provide a reference for identifying mouth-opening levels. The human ear canal can become deformed when the mouth opens and closes, changing the sound field in the external auditory canal. Thus, measuring the mandibular movement trajectory may provide a reference for identifying mouth-opening levels. The K7 system and a Frye Fonix 7000 sensor were used to perform several measurements of mouth-opening and -closing to obtain the mean maximal mouth opening level. The mandible was fixed at the 1/3, 2/3, and maximal mouth-opening levels. Subsequently, a 65-dB sweep tone, which is the sound pressure level of people talking at a normal level, was adopted as the sound stimulus to measure sound fields at 5, 10, 15, and 20 mm from the entrance of the external auditory canal. The stimulus frequencies of 200, 500, 1000, 2000, 4000, 6000, and 8000 Hz were noted. The differences in sound field gains at depths of 5, 10, 15, and 20 mm were analyzed for the various mouth-opening levels. The results show that except for the 1.70-dB decrease at a depth of 5 mm with an 8000-Hz stimulus frequency, the differences at the other depths and stimulus frequencies were within 1 dB. Thus, the mouth-opening levels will influence the gain in ear canal. © 2016, German Acoustical Society (DEGA). All rights reserved.

关键词： Acoustic fields

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Erratum for Cheng et al., "Group A Streptococcus Induces LAPosomes via SLO/β1 Integrin/NOX2/ROS Pathway in Endothelial Cells That Are Ineffective in Bacterial Killing and Suppress Xenophagy"

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mBio 2021年第4期12卷 e0225021页

作者： Yi-Lin Cheng Chih-Feng Kuo Shiou-Ling Lu Hiroko Omori Ya-Na Wu Cheng-Lu Hsieh Takeshi Noda Shang-Rung Wu Robert Anderson Chiou-Feng Lin Chia-Ling Chen Jiunn-Jong Wu Yee-Shin Lin Department of Biotechnology and Laboratory Science in Medicine School of Biomedical Science and Engineering National Yang Ming Universitygrid.260770.4 Taipei Taiwan. Institute of Basic Medical Sciences College of Medicine National Cheng Kung Universitygrid.64523.36 Tainan Taiwan. Department of Microbiology and Immunology College of Medicine National Cheng Kung Universitygrid.64523.36 Tainan Taiwan. School of Medicine I-Shou University Kaohsiung Taiwan. Center for Frontier Oral Science Graduate School of Dentistry Osaka University Osaka Japan. Research Institute for Microbial Diseases Osaka University Osaka Japan. Institute of Oral Medicine College of Medicine National Cheng Kung Universitygrid.64523.36 Tainan Taiwan. Institute of Biological Chemistry Academia Sinica Taipei Taiwan. Department of Microbiology & Immunology Dalhousie Universitygrid.55602.34 Halifax Canada. Department of Microbiology and Immunology College of Medicine Taipei Medical Universitygrid.412896.0 Taipei Taiwan. Graduate Institute of Medical Sciences College of Medicine Taipei Medical Universitygrid.412896.0 Taipei Taiwan. School of Respiratory Therapy College of Medicine Taipei Medical Universitygrid.412896.0 Taipei Taiwan. Center of Infectious Disease and Signaling Research National Cheng Kung Universitygrid.64523.36 Tainan Taiwan.

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A New Data-Driven Sparse-Learning Approach to Study Chemical Reaction Networks

arXiv

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arXiv 2017年

作者： Harirchi, Farshad Kim, Doohyun Khalil, Omar Liu, Sijia Elvati, Paolo Hero, Alfred Violi, Angela Department of Electrical Engineering and Computer Science University of Michigan Ann ArborMI48109-2125 United States Department of Mechanical Engineering University of Michigan Ann ArborMI48109-2125 United States Biophysics Program Departments of Chemical Engineering Biomedical Engineering Macromolecular Science and Engineering University of Michigan Ann ArborMI48109-2125 United States

Chemical kinetic mechanisms can be represented by sets of elementary reactions that are easily translated into mathematical terms using physicochemical relationships. The schematic representation of reactions captures the interactions between reacting species and products. Determining the minimal chemical interactions underlying the dynamic behavior of systems is a major task. In this paper, we introduce a novel approach for the identification of the inuential reactions in chemical reaction networks for combustion applications, using a data-driven sparse-learning technique. The proposed approach identifies a set of inuential reactions using species concentrations and reaction rates, with minimal computational cost without requiring additional data or simulations. The new approach is applied to analyze the combustion chemistry of H2andC3H8in a constant-volume homogeneous reactor. The inuential reactions identified by the sparse-learning method are consistent with the current kinetics knowledge of chemical mechanisms. Additionally, we show that a reduced version of the parent mechanism can be generated as a combination of the inuential reactions identified at different times and conditions and that for both H2andC3H8this reduced mechanism performs closely to the parent mechanism as a function of ignition delay over a wide range of conditions. Our results demonstrate the potential of the sparse-learning approach as an effective and efficient tool for mechanism analysis and mechanism reduction. Copyright © 2017, The Authors. All rights reserved.

关键词： Learning systems

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Correction: Robustness of cancer microbiome signals over a broad range of methodological variation

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Oncogene 2024年第20期43卷 1579页

作者： Gregory D Sepich-Poore Daniel McDonald Evguenia Kopylova Caitlin Guccione Qiyun Zhu George Austin Carolina Carpenter Serena Fraraccio Stephen Wandro Tomasz Kosciolek Stefan Janssen Jessica L Metcalf Se Jin Song Jad Kanbar Sandrine Miller-Montgomery Robert Heaton Rana Mckay Sandip Pravin Patel Austin D Swafford Tal Korem Rob Knight Department of Bioengineering University of California San Diego La Jolla CA USA. Micronoma San Diego CA USA. Feinberg School of Medicine Northwestern University Chicago IL USA. Department of Pediatrics University of California San Diego La Jolla CA USA. Clarity Genomics Antwerp Belgium. School of Life Sciences Arizona State University Tempe AZ USA. Department of Biomedical Informatics Columbia University Irving Medical Center New York NY USA. Program for Mathematical Genomics Department of Systems Biology Columbia University Irving Medical Center New York NY USA. Center for Microbiome Innovation University of California San Diego La Jolla CA USA. Malopolska Centre of Biotechnology Jagiellonian University in Kraków Kraków Poland. Algorithmic Bioinformatics Department of Biology and Chemistry Justus Liebig University Gießen Gießen Germany. Department of Animal Sciences Colorado State University Fort Collins CO USA. Department of Medicine University of California San Diego La Jolla CA USA. Department of Psychiatry University of California San Diego La Jolla CA USA. Moores Cancer Center University of California San Diego Health La Jolla CA USA. Department of Obstetrics and Gynecology Columbia University Irving Medical Center New York NY USA. Department of Bioengineering University of California San Diego La Jolla CA USA. rknight@ucsd.edu. Department of Pediatrics University of California San Diego La Jolla CA USA. rknight@ucsd.edu. Center for Microbiome Innovation University of California San Diego La Jolla CA USA. rknight@ucsd.edu. Department of Computer Science and Engineering University of California San Diego La Jolla CA USA. rknight@ucsd.edu.

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