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Alginate Microcapsule Technology and Impacts on Cell Therapy Development

Microscopy and Microanalysis 2017年第S1期23卷 1214-1215页

作者： Marwa Belhaj Vinal Menon Barbel Rohrer Jay Potts Department of Cell Biology and Anatomy School of Medicine University of South Carolina Columbia USA. Department of Ophthalmology Medical University of South Carolina Charleston South Carolina USA. Ralph H. Johnson VA Medical Center Charleston South Carolina USA. Biomedical Engineering Program College of Engineering and Computing University of South Carolina Columbia USA.

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Vitamin C epigenetically controls osteogenesis and bone mineralization

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Bone Reports 2020年 13卷

作者： Roman Thaler Farzaneh Khani Janet M. Denbeigh Ines Sturmlechner Xianhu Zhou Oksana Pichurin Amel Dudakovic Jiang Zhong Jeong-Heon Lee Ramesh Natarajan Ivo Kalajzic David R. Deyle Eleftherios P. Paschalis Barbara Misof Tamas Ordog Andre J. van Wijnen Department of Orthopedic Surgery Department of Biochemistry & Molecular Biology Center for Regenerative Medicine Mayo Clinic Rochester United States Department of Orthopedic Surgery Mayo Clinic Rochester United States Departments of Pediatric and Adolescent Medicine Mayo Clinic Rochester United States Department of Pediatrics University of Groningen University Medical Center Groningen Groningen Netherlands Epigenomics Program Center for Individualized Medicine Mayo Clinic Rochester United States Department of Internal Medicine Virginia Commonwealth University Richmond United States Department of Reconstructive Sciences UConn Health Farmington United States Department of Medical Genetics Mayo Clinic Rochester United States 1st Medical Department Ludwig Boltzmann Institute of Osteology at the Hanusch Hospital of Social Health Insurance Vienna (WGKK) and Austrian Social Insurance for Occupational Risk (AUVA) Vienna Austria Epigenomics Program Center for Individualized Medicine Department of Physiology and Biomedical Engineering and Division of Gastroenterology and Hepatology Department of Medicine Mayo Clinic Rochester United States

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Deep Near Unsupervised Learning for Data Analysis in Metabolomics, Drug-Drug Interaction Discovery and Human Gait Recognition

Deep Near Unsupervised Learning for Data Analysis in Metabol...

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International Conference on Intelligent Systems, Modelling and Simulation (ISMS)

作者： Saman K. Halgamuge Department of Mechanical Engineering and Biomedical Engineering Program University of Melbourne Vic Australia

ISBN: (纸本)9781509006663

We have been working on the application of Machining Learning in Metabolomics, Drug-Drug Interaction Discovery and Human Gait Recognition [1-5], profiling large data sets. Extraction of vital information about 1) plant metabolomics that can improve the environment and food quality, 2) in vitro neuronal network behavior patterns for various drugs that can be used to characterize drugs for brain deceases and 3) human gait patterns that can reveal various diseases were among these applications. We have demonstrated with considerable success in using unsupervised clustering techniques to analyze genetic and metabolomic data. This includes analysis of drought resistance in wheat [4] and microbial metagenomes [5]. We introduced two methods: Near Unsupervised Learning (NUL) and Sub-sample Error Graphs (SEGs) [5] to analyze large amount of data. Self Organizing Map (SOM), which is one of the widely used Unsupervised Neural Networks, has been used as a data-mining tool due to its ability to map high dimensional data into a two dimensional feature map, which is expected to be topology preserving allowing users to visually identify clusters by their topological relationships in terms of their proximity on the map. The Growing Self Organizing Maps (GSOM) further allows the map size to be determined by the algorithm, which relies upon a user set parameter called Spread Factor (SF) [6]. The wide availability of GPUs for affordable prices allows faster comparison of various SOMs with different maps sizes taking away some of the advantages GSOM claimed. Further development of GSOM into a Dynamic SOM Tree exploits the possibility of varying SF to obtain multiple GSOMs from a small number of compact clusters to a large number of sparse clusters [7]. NUL methods can be applied on GSOM using a small number of labels that should be available for every class. This is however not realistic in some applications where the number of classes cannot be explicitly known. We propose a new method

关键词： Metabolomics Unsupervised learning biomedical engineering Big Data Bioinformatics Intelligent systems Biological system modeling

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Determination of Viscoelastic Properties of human Carotid Atherosclerotic Plaque by Inverse Boundary Value Analysis

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IOP conference series. Materials science and engineering 2018年第1期381卷 012171页

作者： Xiaochang Leng Boran Zhou Xiaomin Deng Lindsey Davis Michael A Sutton Tarek Shazly Susan M Lessner Institute of Engineering Mechanics Nanchang University Jiangxi 330031 People's Republic of China. Department of Radiology Mayo Clinic Rochester MN 55905. College of Engineering and Computing Department of Mechanical Engineering University of South Carolina Columbia SC 29208. College of Engineering and Computing Biomedical Engineering Program University of South Carolina Columbia SC 29208. School of Medicine Department of Cell Biology & Anatomy University of South Carolina Columbia SC 29208.

In this study, we assessed the mechanical response of samples from human atherosclerotic diseased media and fibrous cap via uniaxial tensile testing. Results show a pronounced hysteresis phenomenon caused by viscoelasticity during the loading-unloading process. An inverse analysis method with finite element modeling was employed to identify the material parameter values for a viscoelastic anisotropic (VA) constitutive model through matching simulation predictions of load-displacement curves with experimental measurements. The identified material parameter values can be used in simulation studies of diseased human carotid arteries, including investigations of inflation processes associated with stenting or angioplasty.

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Fungal diversity notes 1151-1276:taxonomic and phylogenetic contributions on genera and species of fungal taxa

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Fungal Diversity 2020年第1期100卷 5-277页

作者： Kevin DHyde Yang Dong Rungtiwa Phookamsak Rajesh Jeewon DJayarama Bhat EBGareth Jones Ning‑Guo Liu Pranami DAbeywickrama Ausana Mapook Deping Wei Rekhani HPerera Ishara SManawasinghe Dhandevi Pem Digvijayini Bundhun Anuruddha Karunarathna Anusha HEkanayaka Dan‑Feng Bao Junfu Li Milan CSamarakoon Napalai Chaiwan Chuan‑Gen Lin Kunthida Phutthacharoen Sheng‑Nan Zhang Indunil CSenanayake Ishani DGoonasekara Kasun MThambugala Chayanard Phukhamsakda Danushka STennakoon Hong‑Bo Jiang Jing Yang Ming Zeng Naruemon Huanraluek Jian‑Kui(Jack)Liu Subodini NWijesinghe Qing Tian Saowaluck Tibpromma Rashika SBrahmanage Saranyaphat Boonmee Shi‑Ke Huang Vinodhini Thiyagaraja Yong‑Zhong Lu Ruvishika SJayawardena Wei Dong Er‑Fu Yang Sanjay KSingh Shiv Mohan Singh Shiwali Rana Sneha SLad Garima Anand Bandarupalli Devadatha MNiranjan VVenkateswara Sarma Kare Liimatainen 馻‑ Tuula Niskanen Andy Overall Renato Lúcio Mendes Alvarenga Tatiana Baptista Gibertoni Walter PPfliegler EnikőHorváth Alexandra Imre Amanda Lucia Alves Ana Carla da Silva Santos Patricia Vieira Tiago Timur SBulgakov Dhanushaka NWanasinghe Ali HBahkali Mingkwan Doilom Abdallah MElgorban Sajeewa SNMaharachchikumbura Kunhiraman CRajeshkumar Danny Haelewaters Peter EMortimer Qi Zhao Saisamorn Lumyong Jianchu Xu Jun Sheng Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of SciencesKunming 650201YunnanChina State Key Laboratory for Conservation and Utilization of Bio‑Resources in Yunnan Yunnan Agricultural UniversityKunming 650201China Yunnan Research Institute for Local Plateau Agriculture and Industry Kunming 650201China Key Laboratory for Agro‑biodiversity and Pest Control of Ministry of Education Yunnan Agricultural UniversityKunming 650201China Center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand East and Central Asia Regional Office World Agroforestry Centre(ICRAF)Kunming 650201YunnanChina Centre for Mountain Futures(CMF) Kunming Institute of BotanyKunming 650201YunnanChina Mushroom Research Foundation 128 M.3 Ban Pa Deng T.Pa PaeA.Mae TaengChiang Mai 50150Thailand Department of Health Sciences Faculty of ScienceUniversity of MauritiusReduitMauritius No.128/1‑J Azad Co‑Op Housing SocietyCurcaGoa Velha 403108India Department of Entomology and Plant Pathology Faculty of AgricultureChiang Mai UniversityChiang Mai 50200Thailand Department of Botany and Microbiology College of ScienceKing Saud UniversityP.O.Box 2455Riyadh 11451Kingdom of Saudi Arabia School of Science Mae Fah Luang UniversityChiang Rai 57100Thailand Faculty of Agriculture National Resources and EnvironmentNaresuan UniversityPhitsanulok 65000Thailand Beijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China Institute of Plant and Environment ProtectionBeijing Academy of Agriculture and Forestry SciencesBeijing 100097China Department of Soil Ecology UFZ-Helmholtz Centre for Environmental ResearchHalleGermany Guizhou Key Laboratory of Agricultural Biotechnology Guizhou Academy of Agricultural SciencesGuiyang 550006GuizhouChina Shenzhen Key Laboratory of Microbial Genetic Engineering College of Life Sciences and OceanographyShenzhen UniversityShenzhen 518060China Department of Plant M

Fungal diversity notes is one of the important journal series of fungal taxonomy that provide detailed descriptions and illustrations of new fungal taxa,as well as providing new information of fungal taxa *** article is the 11th contribution to the fungal diversity notes series,in which 126 taxa distributed in two phyla,six classes,24 orders and 55 families are described and *** in this study were mainly collected from Italy by Erio Camporesi and also collected from China,India and Thailand,as well as in some other European,North American and South American *** described in the present study include two new families,12 new genera,82 new species,five new combinations and 25 new records on new hosts and new geographical distributions as well as sexual-asexual *** two new families are Eriomycetaceae(Dothideomycetes,family incertae sedis)and Fasciatisporaceae(Xylariales,Sordariomycetes).The twelve new genera comprise Bhagirathimyces(Phaeosphaeriaceae),Camporesiomyces(Tubeufiaceae),Eriocamporesia(Cryphonectriaceae),Eriomyces(Eriomycetaceae),Neomonodictys(Pleurotheciaceae),Paraloratospora(Phaeosphaeriaceae),Paramonodictys(Parabambusicolaceae),Pseudoconlarium(Diaporthomycetidae,genus incertae sedis),Pseudomurilentithecium(Lentitheciaceae),Setoapiospora(Muyocopronaceae),Srinivasanomyces(Vibrisseaceae)and Xenoanthostomella(Xylariales,genera incertae sedis).The 82 new species comprise Acremonium chiangraiense,Adustochaete nivea,Angustimassarina camporesii,Bhagirathimyces himalayensis,Brunneoclavispora camporesii,Camarosporidiella camporesii,Camporesiomyces mali,Camposporium appendiculatum,Camposporium multiseptatum,Camposporium septatum,Canalisporium aquaticium,Clonostachys eriocamporesiana,Clonostachys eriocamporesii,Colletotrichum hederiicola,Coniochaeta vineae,Conioscypha verrucosa,Cortinarius ainsworthii,Cortinarius aurae,Cortinarius britannicus,Cortinarius heatherae,Cortinarius scoticus,Cortinarius subsaniosus,Cytospora fusispor

关键词： 96 new taxa Agaricomycetes Ascomycota Basidiomycota Dothideomycetes Lecanoromycetes Leotiomycetes Pezizomycetes Phylogeny Saccharomycetes Taxonomy

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Two-dimensional blood flow vector and wall shear stress of carotid artery obtained with dual-angle Doppler method

Two-dimensional blood flow vector and wall shear stress of c...

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IEEE Symposium (IUS) Ultrasonics

作者： Osamu Akagawa Kosuke Fukazu Ryo Nagaoka Yoshifumi Saijo Graduate School of Biomedical Engineering Tohoku University Sendai Japan

ISBN: (纸本)9781467398985

Biomechanical assessment of atherosclerosis has been mainly studied by tissue characterization and elasticity measurement of arterial wall in biomedical ultrasound. On the other hand, fluid shear stress on the artery is also known as an important factor to change vascular endothelium properties leading to atherosclerosis. Ultrasound is a suitable imaging modality to measure blood flow with high temporal resolution. However, conventional Doppler method merely measures the velocity component along the ultrasonic beam. In the present study, two-dimensional blood flow vectors in carotid artery are measured by dual-angle Doppler measurement and validation of the method is performed in comparison with particle image velocimetry. Further, wall shear stress is calculated by flow distribution in the carotid artery. The study contributes to understand the pathophysiology of atherosclerosis in a non-invasive manner.

关键词： Ultrasonic imaging Carotid arteries Blood flow Stress Two dimensional displays Ultrasonic variables measurement Doppler effect

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Characterisation and evaluation of soft elastomeric actuators for hand assistive and rehabilitation applications

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Journal of Medical engineering and Technology 2016年第4期40卷 199-209页

作者： Yap, Hong Kai Lim, Jeong Hoon Nasrallah, Fatima Cho Hong Goh, James Yeow, Chen-Hua NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore Singapore Department of Biomedical Engineering National University of Singapore 4 Engineering Drive 3 Singapore117583 Singapore Department of Medicine National University of Singapore Singapore Singapore Queensland Brain Institute University of Queensland Queensland Australia Singapore Institute for Neurotechnology Singapore Singapore Advanced Robotics Center Singapore Singapore

Various hand exoskeletons have been proposed for the purposes of providing assistance in activities of daily living and rehabilitation exercises. However, traditional exoskeletons are made of rigid components that impede the natural movement of joints and cause discomfort to the user. This paper evaluated a soft wearable exoskeleton using soft elastomeric actuators. The actuators could generate the desired actuation of the finger joints with a simple design. The actuators were characterised in terms of their radius of curvature and force output during actuation. Additionally, the device was evaluated on five healthy subjects in terms of its assisted finger joint range of motion. Results demonstrated that the subjects were able to perform the grasping actions with the assistance of the device and the range of motion of individual finger joints varied from subject to subject. This work evaluated the performance of a soft wearable exoskeleton and highlighted the importance of customisability of the device. It demonstrated the possibility of replacing traditional rigid exoskeletons with soft exoskeletons that are more wearable and customisable. © 2016 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Actuators

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Drag on a Cylinder with an Apple-Shaped Cross Section

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World Journal of Mechanics 2016年第9期6卷 323-339页

作者： Hirono Matsumoto Yoshihiro Kubota Masayuki Ohishi Osamu Mochizuki Graduate School of Biomedical Engineering Toyo University Saitama Japan Faculty of Science and Engineering Toyo University Saitama Japan Daikirika Kogyo Inc. Saitama Japan Department of Biomedical Engineering Toyo University Saitama Japan

The drag on a cylinder with an apple-shaped cross section was studied numerically in this paper. This cross section is adopted because the drag on an apple is known to be lower than that of a sphere. Since the hollows of an apple seem to be points of drag reduction, two-dimensional numerical simulations of cylinders with hollows of several shapes are carried out at a Reynolds number of 6.7 × 104 by using the vortex method to check their effects. The cylinder with hollows like those of a real apple attained a 13% reduction in drag compared with a circular cylinder. Other geometrical hollow-shapes, namely, V-shaped and U-shaped grooves, also reduced drag from the circular model, but these effects were less pronounced than those of the apple-shaped cross section. It was concluded that an apple-like hollows were effective for drag reduction of a cylin-der as well as a sphere.

关键词： Drag Reduction Apple Cylinder Vortex Method k-ε Model Flow Visualization

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Creating Method for Real-Time CG Animation of Cooperative Motion of Both Hands for Mirror Box Therapy Support System

Creating Method for Real-Time CG Animation of Cooperative Mo...

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International Conference on Complex, Intelligent and Software Intensive Systems, CISIS

作者： Masato Tanaka Makoto Fujimura Toshio Higashi Toru Kobayashi Graduate School of Engineering Graduate School of Biomedical Sciences Nagasaki University Japan

ISBN: (纸本)9781509009886

Hemiplegia is a disease where the sufferer has difficulties moving the muscles, and thus rehabilitation is required. We propose a method for real-time CG animation of the cooperative motion of both hands for a mirror box therapy support system in place of mirror box therapy. This system displays cooperative movement through CG. The image of a healthy hand is displayed in real-time. On the other hand, the image of a hemiplegic hand is substituted by motion capture data of the healthy hand. In this system, patients perceive the hand by replaced motion capture as their affected hand, and the brain is "tricked" into believing that it is. We use a leap motion device for motion capture and obtain the position information of the fingers. We evaluate our system by applying it to six people.

关键词： Mirrors Thumb Medical treatment Real-time systems Animation Wrist

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A continuum poisson-‐boltzmann model for membrane channel proteins

arXiv

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arXiv 2017年

作者： Xiao, Li Diao, Jianxiong Greene, D'Artagnan Wang, Junmei Luo, Ray Department of Biomedical Engineering University of California IrvineCA92697 United States Department of Molecular Biology and Biochemistry University of California IrvineCA92697 United States Chemical and Materials Physics Graduate Program University of California IrvineCA92697 Department of Chemical Engineering and Materials Science University of California IrvineCA92697 United States Department of Pharmaceutical Sciences University of Pittsburg PittsburghPA15261 United States

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