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Small P values may not yield robust findings:an example using REST-meta-PD

Science Bulletin 2021年第21期66卷 2148-2152,M0003页

作者： Xi-Ze Jia Na Zhao Hao-Ming Dong Jia-Wei Sun Marek Barton Roxana Burciu Nicolas Carrière Antonio Cerasa Bo-Yu Chen Jun Chen Stephen Coombes Luc Defebvre Christine Delmaire Kathy Dujardin Fabrizio Esposito Guo-Guang Fan Federica Di Nardo Yi-Xuan Feng Brett W.Fling Saurabh Garg Moran Gilat Martin Gorges Shu-Leong Ho Fay BHorak Xiao Hu Xiao-Fei Hu Biao Huang Pei-Yu Huang Ze-Juan Jia Christina Jones Jan Kassubek Lenka Krajcovicova Ajay Kurani Jing Li Qing Li Ai-Ping Liu Bo Liu Hu Liu Wei-Guo Liu Renaud Lopes Yu-Ting Lou Wei Luo Tara Madhyastha Ni-Ni Mao Grainne McAlonan Martin J.McKeown Shirley Pang Andrea Quattrone Irena Rektorova Alessia Sarica Hui-Fang Shang James M.Shine Priyank Shukla Tomas Slavicek Xiao-Peng Song Gioacchino Tedeschi Alessandro Tessitore David Vaillancourt Jian Wang Jue Wang Z.Jane Wang Lu-Qing Wei Xia Wu Xiao-Jun Xu Lei Yan Jing Yang Wan-Qun Yang Nai-Lin Yao De-Long Zhang Jiu-Quan Zhang Min-Ming Zhang Yan-Ling Zhang Cai-Hong Zhou Chao-Gan Yan Xi-Nian Zuo Mark Hallett Tao Wu Yu-Feng Zang Center for Cognition and Brain Disorders the Affiliated HospitalHangzhou Normal UniversityHangzhou 310015China Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments Hangzhou 311121China National Basic Science Data Center Beijing 100190China State Key Laboratory of Cognitive Neuroscience and Learning&McGovern Institute for Brain Research Beijing Normal UniversityBeijing 100875China School of Information and Electronics Technology Jiamusi UniversityJiamusi 154007China Neuroscience Program Central European Institute of TechnologyCEITECMasaryk UniversityBrno 62500Czech Republic Department of Applied Physiology and Kinesiology University of FloridaGainesville FL 32611USA Univ.Lille InsermCHU LilleU1172-LilNCog-Lille Neuroscience&CognitionLille F-59000France The Institute for Biomedical Research and Innovation National Research CouncilMangone CS 87050Italy Department of Radiology The First Affiliated Hospital of China Medical UniversityShenyang 110001China Department of Radiology Guangdong Provincial Hospital of Chinese MedicineGuangzhou 510120China Department of Medicine Surgery and DentistryScuola Medica SalernitanaUniversity of SalernoFiscianoSA 132-84084Italy Department of Advanced Medical and Surgery Sciences University of Campania“Luigi Vanvitelli”Caserta 81100Italy Eye Center of the 2nd Affiliated Hospital Medical College of Zhejiang UniversityHangzhou 310020China Zhejiang Provincial Key Lab of Ophthalmology Hangzhou 310020China Department of Health and Exercise Science Colorado State UniversityFort Collins CO 80523USA Pacific Parkinson’s Research Centre University of British ColumbiaVancouver BC V6E 2M6Canada Department of Medicine(Neurology)University of British Columbia Vancouver BC V6T 1B7Canada Brain and Mind Center The University of SydneySydney NSW 2006Australia Department of Neurology Ulm UniversityUlm 89081Germany Division of Neurology Department of MedicineQueen Mary HospitalUniversity of Hong KongHong Kong 999077China Department of

Thousands of resting state functional magnetic resonance imaging(RS-f MRI)articles have been published on brain *** precise localization of abnormal brain activity,a voxel-level comparison is *** of the large number of voxels in the brain,multiple comparison correction(MCC)must be performed to reduce false positive rates,and a smaller P value(usually including either liberal or stringent MCC)is widely recommended[1].

关键词：帕金森病 precise correction

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Foot plantar pressure measurement system using optical sensor

Foot plantar pressure measurement system using optical senso...

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biomedical engineering International Conference (BMEiCON)

作者： Tanapon Keatsamarn Chuchart Pintavirooj Biomedical Engineering Program King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (纸本)9781509039418

Foot pressure measurement is necessary for classifying disorders of the foot and designing insole for individual person. This present work uses optical sensor (webcam) to capture the foot-pressure image. Image processing on Raspberry Pi with OpenCV library is applied to process image and color coding corresponding to foot pressure. The hardware system uses the transparent acrylic plate and uses the steel as a base of the acrylic plate. The glossy white paper is placed on the top of the transparent acrylic plate covering with polypropylene sheet on the system to block light from outside. Light in the system is released from LED strip entering from a side of the acrylic plate. The scattered light occurred in acrylic plate from the foot pressing were recorded by the webcams. The four webcams placed below facing upward for collecting images (2 cameras for each foot) and sending to Raspberry Pi. Raspberry Pi will perform image process including image enhancement and image stitching and image displaying. The result can be used to classifying foot type and find methods to prevent the occurrence of for disorders.

关键词： Foot Indexes Optical sensors Image color analysis Hardware Instruments Digital cameras

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Lumbopelvic rhythm in the sagittal plane: A review of the effects of participants and task characteristics

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International Musculoskeletal Medicine 2016年第2期38卷 51-58页

作者： Vazirian, Milad Van Dillen, Linda R. Bazrgari, Babak F. Joseph Halcomb III M.D. Department of Biomedical Engineering University of Kentucky Lexington KY United States Program in Physical Therapy Washington University School of Medicine in St. Louis MO United States

Objectives: Abnormalities of lumbopelvic coordination have been suggested to relate to risk of developing low back pain. The objective of this study is to review and summarize the findings of studies that have implemented and reported on lumbopelvic rhythm during trunk forward bending and backward return. Methods: The PUBMED and CINAHL databases were searched for studies related to LPR using appropriate keywords. The references of each study from the database search were further investigated to identify any missed study. Results: The findings includes results related to lumbopelvic rhythm, and how it varies due to participant characteristics such as age, gender, and presence of low back pain as well as due to variations in the experimental procedures such as pace of motion, presence of external load, and muscle fatigue. Conclusion: In general, the magnitude of lumbar contribution is smaller in people with low back pain, in the elderly and females, as well as with greater pace of motion, but is larger with greater external load or back muscle fatigue. The compiled data in this review are expected to serve as a foundation for implementation of this kinematic-based measure in the conduct of future research. © 2016 Taylor & Francis and the British Institute of Musculoskeletal Medicine.

关键词： Lumbar contribution Lumbar spine Lumbopelvic rhythm Pelvic contribution Pelvis

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Selection of propolis Tetragonula sp. extract solvent with flavonoids and polyphenols concentration and antioxidant activity parameters

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AIP Conference Proceedings 2018年第1期1933卷

作者： Daisy Christina Heri Hermansyah Anondho Wijanarko Etin Rohmatin Muhamad Sahlan Diah Kartika Pratami Abdul Mun’im 1Departement of Chemical Engineering University of Indonesia Depok 16425 Indonesia 2Midwifery Department of Health Polytechnic Republic of Indonesia’s Health Ministry Tasikmalaya Indonesia 3Research Center for Biomedical Engineering (RCBE) Universitas Indonesia Kampus Baru UI Depok 16425 Indonesia 4Graduate Program of Pharmaceutical Sciences Faculty of Pharmacy University of Indonesia Depok 16425 Indonesia 5Department of Pharmacognosy-Phytochemistry Faculty of Pharmacy University of Indonesia Depok 16425 Indonesia

Antioxidants are inhibitory compounds that can inhibit auto oxidation reaction by binding to free radicals and highly reactive molecules. The human body needs antioxidant. Antioxidants can be obtained from a variety of natural ingredients, including propolis. Propolis is the natural sap of the bees, obtained from the herbs around the honeycomb. Ethanol is the solvent that often used to extract propolis. Although it has many advantages, ethanol also has weaknesses such as intolerance to alcohol by some people. Therefore, this research was to extract propolis Tetragonula sp. coarse (C) and soft (S) using four varieties of organic solvent, i.e. olive oil (OO), virgin coconut oil (VCO), propylene glycol (PG), and lecithin (L). It was expected to get the best solvent in extracting propolis. The selection of the best solvent was determined by total flavonoids and polyphenols content assay and antioxidant activity. At each test, the absorbance value read by a microplate reader. Flavonoids content assay is using AlCl3 method with best result on rough-VCO propolis extract of 2509,767 ± 615,02 µg/mL. Polyphenols content assay was using Folin Ciocalteu method with the best results on soft-VCO propolis extract of 1391 ± 171.47 µg/mL. Antioxidant activity assay is using DPPH method with best result on soft-VCO propolis extract with IC50 value of 1,559 ± 0,222 µg/mL.

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Publisher Correction: Room temperature CO2 reduction to solid carbon species on liquid metals featuring atomically thin ceria interfaces

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Nature communications 2019年第1期10卷 1367页

作者： Dorna Esrafilzadeh Ali Zavabeti Rouhollah Jalili Paul Atkin Jaecheol Choi Benjamin J Carey Robert Brkljača Anthony P O'Mullane Michael D Dickey David L Officer Douglas R MacFarlane Torben Daeneke Kourosh Kalantar-Zadeh School of Engineering RMIT University Melbourne VIC 3001 Australia. d.esrafilzadeh@unsw.edu.au. Graduate School of Biomedical Engineering University of New South Wales (UNSW) Sydney NSW 2052 Australia. d.esrafilzadeh@unsw.edu.au. School of Engineering RMIT University Melbourne VIC 3001 Australia. College of Material Science and Technology Nanjing University of Aeronautics and Astronautics 29 Jiangjun Ave 211100 Nanjing China. School of Chemical Engineering University of New South Wales (UNSW) Sydney NSW 2031 Australia. ARC Centre of Excellence for Electromaterials Science and Intelligent Polymer Research Institute University of Wollongong Wollongong NSW 2522 Australia. Institute of Physics and Center for Nanotechnology University of Münster Wilhelm-Klemm-Straße 10 48149 Münster Germany. School of Science RMIT University Melbourne VIC 3001 Australia. School of Chemistry Physics and Mechanical Engineering Queensland University of Technology (QUT) Brisbane QLD 4001 Australia. Department of Chemical and Biomolecular Engineering North Carolina State University Raleigh 27607 USA. ARC Centre of Excellence for Electromaterials Science Monash University Clayton VIC 3800 Australia. School of Chemical Engineering University of New South Wales (UNSW) Sydney NSW 2031 Australia. torben.daeneke@rmit.edu.au. School of Engineering RMIT University Melbourne VIC 3001 Australia. k.kalantar-zadeh@unsw.edu.au. School of Chemical Engineering University of New South Wales (UNSW) Sydney NSW 2031 Australia. k.kalantar-zadeh@unsw.edu.au.

The original version of this Article contained errors in the author affiliations. Affiliation 1 incorrectly read 'School of Chemical engineering, University of New South Wales (UNSW), Sydney, NSW 2031, Australia' and affiliation 4 incorrectly read 'School of engineering, RMIT University, Melbourne, VIC 3001, Australia.' This has now been corrected in both the PDF and HTML versions of the Article.

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Author Correction: A recellularized human colon model identifies cancer driver genes

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Nature biotechnology 2019年第7期37卷 820页

作者： Huanhuan Joyce Chen Zhubo Wei Jian Sun Asmita Bhattacharya David J Savage Rita Serda Yuri Mackeyev Steven A Curley Pengcheng Bu Lihua Wang Shuibing Chen Leona Cohen-Gould Emina Huang Xiling Shen Steven M Lipkin Neal G Copeland Nancy A Jenkins Michael L Shuler Department of Biomedical Engineering Cornell University Ithaca New York USA. Cancer Research Program Houston Methodist Research Institute Houston Texas USA. Department of Medicine Weill Cornell Medical College New York New York USA. Department of Genetic Medicine Weill Cornell Medical College New York New York USA. Genetics Genomics and Development Cornell University Ithaca New York USA. University of Texas Medical School at Houston Houston Texas USA. Department of Chemistry Rice University Houston Texas USA. Department of Surgery Baylor College of Medicine Houston Texas USA. Department of Biological and Environmental Engineering Cornell University Ithaca New York USA. Chemical Biology in Surgery Weill Cornell Medical College New York New York USA. Department of Biochemistry Weill Cornell Medical College New York New York USA. Department of Stem Cell Biology and Regenerative Medicine Cleveland Clinic Cleveland Ohio USA. Department of Colorectal Surgery Cleveland Clinic Cleveland Ohio USA. Cancer Research Program Houston Methodist Research Institute Houston Texas USA. njenkins2@***. Department of Biomedical Engineering Cornell University Ithaca New York USA. mls50@cornell.edu.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Mapping the Human Body at Cellular Resolution -- The NIH Common Fund Human BioMolecular Atlas program

arXiv

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arXiv 2019年

作者： Snyder, Michael P. Lin, Shin Posgai, Amanda Atkinson, Mark Regev, Aviv Rood, Jennifer Rozenblatt-Rosen, Orit Gaffney, Leslie Hupalowska, Anna Satija, Rahul Gehlenborg, Nils Shendure, Jay Laskin, Julia Harbury, Pehr Nystrom, Nicholas A. Bar-Joseph, Ziv Zhang, Kun Börner, Katy Lin, Yiing Conroy, Richard Procaccini, Dena Roy, Ananda L. Pillai, Ajay Brown, Marishka Galis, Zorina S. Cai, Long Shendure, Jay Trapnell, Cole Lin, Shin Jackson, Dana Snyder, Michael P. Nolan, Garry Greenleaf, William James Lin, Yiing Plevritis, Sylvia Ahadi, Sara Lee, Hayan Nevins, Stephanie Esplin, Ed Horning, Aaron Bahmani, Amir Zhang, Kun Sun, Xin Jain, Sanjay Hagood, James Kharchenko, Peter Atkinson, Mark Bodenmiller, Bernd Brusko, Todd Clare-Salzler, Michael Nick, Harry Otto, Kevin Posgai, Amanda Wasserfall, Clive Maffioletti, Sergio Caprioli, Richard M. Spraggins, Jeffrey M. Gutierrez, Danielle Patterson, Nathan Heath Neumann, Elizabeth K. Harris, Raymond deCaestecker, Mark de Plas, Raf Van Lau, Ken Cai, Long Yuan, Guo-Cheng Zhu, Qian Dries, Ruben Yin, Peng Saka, Sinem K. Kishi, Jocelyn Y. Wang, Yu Goldaracena, Isabel Laskin, Julia Ye, DongHye Burnum-Johnson, Kristin E. Piehowski, Paul D. Ansong, Charles Zhu, Ying Harbury, Pehr Desai, Tushar Mulye, Jay Chou, Peter Nagendran, Monica Bar-Joseph, Ziv Teichmann, Sarah A. Paten, Benedict Murphy, Robert F. Ma, Jian Kiselev, Vladimir Yu Kingsford, Carl Ricarte, Allyson Ruffalo, Matthew Gehlenborg, Nils Kharchenko, Peter Vella, Margaret McCallum, Chuck Börner, Katy Cross, Leonard E. Friedman, Samuel H. Heiland, Randy Herr, Bruce Macklin, Paul Quardokus, Ellen M. Record, Lisel Sluka, James P. Weber, Griffin M. Nystrom, Nicholas A. Silverstein, Jonathan C. Blood, Philip D. Ropelewski, Alexander J. Shirey, William E. Mabee, Paula Lenhardt, W. Christopher Robasky, Kimberly Michailidis, Stavros Satija, Rahul Marioni, John Regev, Aviv Butler, Andrew Stuart, Tim Fisher, Eyal Ghazanfar, Shila Rood, Jennifer Gaffney, Leslie Ersalan, Gokcen Biancalani, Tommaso Conroy, Richard Procaccini, Dena Roy, Anan School of Medicine Stanford University 300 Pasteur Drive United States Department of Genetics Stanford School of Medicine StanfordCA94305 United States Department of Medicine University of Washington SeattleWA98195 United States Department of Pathology University of Florida Diabetes Institute GainesvilleFL32610 United States Klarman Cell Observatory Broad Institute of MIT and Harvard CambridgeMA02142 United States Howard Hughes Medical Institute Koch Institute of Integrative Cancer Research Department of Biology Massachusetts Institute of Technology CambridgeMA02140 United States New York Genome Center New York CityNY10013 United States New York University New YorkNY10012 United States Department of Biomedical Informatics Harvard Medical School BostonMA02115 United States Department of Genome Sciences University of Washington SeattleWA98105 United States Department of Chemistry Purdue University West LafayetteIN47907 United States Department of Biochemistry Stanford University School of Medicine StanfordCA94305 United States Pittsburgh Supercomputing Center Carnegie Mellon University PittsburghPA15213 United States Department of Computational Biology School of Computer Science Carnegie Mellon University PittsburghPA15213 United States Department of Bioengineering University of California San Diego La JollaCA92093 United States Department of Intelligent Systems Engineering School of Informatics Computing and Engineering Indiana University BloomingtonIN47408 United States Department of Surgery Washington University School of Medicine St LouisMO63110 United States Division of Program Coordination Planning and Strategic Initiatives National Institutes of Health BethesdaMD20892 United States National Human Genome Research Institute National Institutes of Health BethesdaMD20892 United States National Heart Lung and Blood Institute National Institutes of Health BethesdaMD20892 United States Caltech-UW TMC Departmen

Transformative technologies are enabling the construction of three dimensional (3D) maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years, the NIH Common Fund Human Biomolecular Atlas program (HuBMAP) intends to develop a widely accessible framework for comprehensively mapping the human body at single-cell resolution by supporting technology development, data acquisition, and detailed spatial mapping. HuBMAP will integrate its efforts with other funding agencies, programs, consortia, and the biomedical research community at large towards the shared vision of a comprehensive, accessible 3D molecular and cellular atlas of the human body, in health and various disease settings. Copyright © 2019, The Authors. All rights reserved.

关键词： Mapping

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Abstract #14: Resting State Functional Connectivity Changes After MR-Guided Focused Ultrasound Mediated Blood-Brain Barrier Opening

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Brain Stimulation 2019年第2期12卷 e5-e6页

作者： Ying Meng Bradley J. MacIntosh Zahra Shirzadi Alex Kiss Allison Bethune Chris Heyn Karim Mithani Kullervo Hynynen Sandra E. Black Nir Lipsman Division of Neurosurgery Sunnybrook Health Sciences Centre University of Toronto Toronto Canada Sunnybrook Research Institute Sunnybrook Health Sciences Centre University of Toronto Toronto Canada Department of Medical Biophysics University of Toronto Toronto Canada Hurvitz Brain Sciences Research Program Sunnybrook Research Institute Sunnybrook Health Sciences Centre University of Toronto Toronto Canada Department of Medical Imaging Sunnybrook Health Sciences Centre University of Toronto Toronto Canada Institute of Biomaterials and Biomedical Engineering University of Toronto Toronto Canada Department of Medicine (Neurology) Sunnybrook Health Sciences Centre and University of Toronto Toronto Canada

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Tumor Targeting: A Highly Efficient Tumor‐Targeting Nanoprobe with a Novel Cell Membrane Permeability Mechanism (Adv. Mater. 12/2019)

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Advanced Materials 2019年第12期31卷

作者： Zhendong Lei Lin Ding Chenjie Yao Fengfeng Mo Chenchen Li Yanan Huang Xuelian Yin Min Li Jinliang Liu Yong Zhang Changquan Ling Yanli Wang Institute of Nanochemistry and Nanobiology Shanghai University Shanghai 200444 P. R. China Department of Biomedical Engineering National University of Singapore Singapore 119077 Singapore Program in Molecular and Integrative Physiological Sciences Harvard T.H. Chan School of Public Health Harvard University Boston MA 02115 USA Ship Hygiene Department Faculty of Naval Medicine Second Military Medical University Shanghai 200433 P. R. China Department of Traditional Chinese Medicine Changhai Hospital The Second Military Medical University Shanghai 200433 P. R. China

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Automated Detection of Plasmodium Falciparum from Giemsa-Stained Thin Blood Films

Automated Detection of Plasmodium Falciparum from Giemsa-Sta...

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International Conference on Knowledge and Smart Technology

作者： Wongsakorn Preedanan Montri Phothisonothai Wongwit Senavongse Suchada Tantisatirapong Biomedical Engineering Program Faculty of Engineering Srinakharinwirot University International College King Mongkut's Institute of Technology Ladkrabang

ISBN: (纸本)9781467381406

This paper investigates automated detection of malaria parasites in images of Giemsa-stained thin blood films. We aim to determine parasitemia based on automatic segmentation, feature extraction and classification methods. Segmentation relies on adaptive thresholding and watershed methods. Statistical features are then computed for each cell and classified using SVM binary classifier. Accuracy of classification is validated based on the leave-one-out cross-validation technique. This processing pipeline is applied on total 15 images of Giemsa-stained thin blood films and yields 92.71% sensitivity, 97.35% specificity and 97.17% accuracy.

关键词： Plasmodium falciparum Giemsa-stained thin blood film Segmentation Statistical features SVM

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