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Effects of yeast and bacterial commensals and pathogens of the female genital tract on the transepithelial electrical resistance of HeLa cells

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Open Microbiology Journal 2016年 10卷 90-96页

作者： Tsata, Vassiliki Velegraki, Aristea Ioannidis, Anastasios Poulopoulou, Cornelia Bagos, Pantelis Magana, Maria Chatzipanagiotou, Stylianos Laboratory of Experimental Neurophysiology Department of Neurology Aeginition Hospital Medical School National and Kapodistrian University of Athens Greece Mycology Research Laboratory Microbiology Department Medical School National and Kapodistrian University of Athens Greece Department of Nursing Faculty of Human Movement and Quality of Life Sciences University of Peloponnese Sparta Greece Department of Computer Science and Biomedical Informatics University of Thessaly Greece Department of Biopathology and Clinical Microbiology Aeginition Hospital Medical School National and Kapodistrian University of Athens Greece

Commensals of the human body can shift to a pathogenic phase when the host immune system is impaired. This study aims to investigate the effect of seven yeast and two bacterial commensals and opportunistic pathogens isolated from blood and the female genital tract on the transepithelial electrical resistance (TER) of human cervical epithelial cell cultures (HeLa). The pathogens Candida tropicalis, C. parapsilosis, C. glabrata, C. krusei, C. albicans and Saccharomyces cerevisiae, caused a significant decrease in TER as compared to the controls;Lactobacillus spp caused a significant increase in TER versus the controls and Escherichia coli had no effect on the TER of the cell monolayers. The above data show that Candida spp., S. cerevisiae and Lactobacillus spp. have a non-selective effect on the TER of HeLa cell monolayers. These results are consistent with the in vivo non-selective action of these microorganisms on the various human mucosal epithelia. © Tsata et al.;Licensee Bentham Open.

关键词： Candida E. coli HeLa cells Lactobacillus Saccharomyces Transepithelial electrical resistance

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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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Effects of data presentation and perceptual speed on speed and accuracy in table reading for inventory control

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Occupational Ergonomics 2015年第3期12卷 119-129页

作者： Ziefle, Martina Brauner, Philipp Speicher, Frederic Department of Communication Science Human-Computer Interaction Center RWTH Aachen University Campus Boulevard 57 Aachen 52074 Germany

BACKGROUND: The increasing amount of available data in digital working environments raise considerable usability challenges. Beyond the trend for automation of such processes, strategic decisions still depend on humans in the loop who have to perceive, understand and process increasingly complex information and to make quick and correct decisions with considerable consequences for the effectiveness of the production process. OBJECTIVE: This work is concerned with a baseline experiment in which effects of data presentations and information complexity on speed and accuracy were studied taking table reading for inventory control as an example. METHODS: Experimentally, the information complexity (number of lines per table, number of digits, specificity of labels) as well as operators' cognitive ability (perceptual speed) was examined in terms of decision speed and accuracy. In addition, learnability effects were assessed. RESULTS: Results show a significant effect of all factors on task performance. With increasing information complexity decision speed is considerably decreased. Operators' perceptual speed modulates performance. Low perceptual speed in conjunction with insufficient data presentation results in significantly lower task performance. CONCLUSIONS: Usability and user-centered information displaying is of vital importance for efficient operators' performance and to balance mental workload. The findings contribute to an understanding of the effects of single factors in combination for mental workload and may lead to better managerial decisions concerning the design of working conditions (e.g. by automating processes). © 2015 IOS Press and the authors. All rights reserved.

关键词： accuracy inventory control performance speed table reading tabular data Usability

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Feature selection based on functional group structure for microRNA expression data analysis

Feature selection based on functional group structure for mi...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Yang Yang Tianyu Cao Wei Kong Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Key Laboratory of Systems Biomedicine (Ministry of Education) Shanghai Jiao Tong University Shanghai China Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China Department of Computer Science and Engineering Shanghai Maritime University Shanghai China

ISBN: (纸本)9781509016129

Feature selection methods have been widely used in gene expression analysis to identify differentially expressed genes and explore potential biomarkers for complex diseases. While a lot of studies have shown that incorporating feature structure information can greatly enhance the performance of feature selection algorithms, and genes naturally fall into groups with regard to common function and co-regulation, only a few of gene expression studies utilized the structured properties. And, as far as we know, there has been no such study on microRNA (miRNA) expression analysis due to the lack of available functional annotation for miRNAs. In this study, we focus on miRNA expression analysis because of its importance in the diagnosis, prognosis prediction and new therapeutic target detection for complex diseases. MiRNAs tend to work in groups to play their regulation roles, thus the miRNA expression data also has group structure. We utilize the GO-based semantic similarity to infer miRNA functional groups, and propose a new feature selection method taking group structure into consideration, called MiRFFS (MiRNA Functional group-based Feature Selection). We also apply the group information to the sparse group Lasso method, and compare MiRFFS with the sparse group Lasso as well as some existing feature selection methods. The results on three miRNA microarray profiles of breast cancer show that MiRFFS can achieve a compact feature subset with high classification accuracy.

关键词： Semantics Gene expression Correlation Clustering algorithms Breast cancer Statistical analysis

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Methods for human-computer interaction research 33

Methods for human-computer interaction research

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33rd Annual CHI Conference on human Factors in Computing Systems, CHI EA 2015

作者： Gould, Sandy J.J. Brumby, Duncan P. Cox, Anna L. Fitzpatrick, Geraldine Hoonhout, Jettie Lamas, David Law, Effie UCL Interaction Centre University College London United Kingdom Human Computer Interaction Group Vienna University of Technology Austria Philips Research Eindhoven Netherlands Interaction Design Laboratory Tallinn University Netherlands Department of Computer Science University of Leicester United Kingdom

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User reviews of gamepad controllers: A source of user requirements and user experience 15

User reviews of gamepad controllers: A source of user requir...

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2nd ACM SIGCHI Annual Symposium on computer-human interaction in Play, CHI PLAY 2015

作者： Merdenyan, Burak Petrie, Helen Human Computer Interaction Research Group Department of Computer Science University of York YO10 5GH United Kingdom

ISBN: (纸本)9781450334662

The development of the digital games industry has motivated game console makers to provide better gamepads for gamers. As gamepads provide the interaction between digital games and gamers, it is important to understand gamers' requirements for these devices. This study used content analysis to investigate whether existing gamepads satisfy gamers' requirements and provide good game experience, with a view to informing new designs. A content analysis of user reviews of four different game consoles was conducted. An emergent coding scheme with 11 categories was developed. 'Comfort' was the most frequently mentioned category, accounting for nearly 25% of all comments in the reviews. 'Material Quality' and 'Responsiveness' yielded the most negative comments. Implications for design improvements are discussed. © Copyright 2015 by the Association for Computing Machinery, Inc. (ACM).

关键词： computer games

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Comparing objective and subjective metrics between physical and virtual tasks 8th

Comparing objective and subjective metrics between physical ...

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8th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2016 and Held as Part of 18th International Conference on human-computer interaction, HCI International 2016

作者： Gieser, S.N. Gentry, Caleb LePage, James Makedon, Fillia Heracleia Human Centered Computing Laboratory Department of Computer Science and Engineering University of Texas at Arlington ArlingtonTX United States Veteran Affairs North Texas Health Care System DallasTX United States University of Texas Southwestern Medical Center DallasTX United States

ISBN: (纸本)9783319399065

Virtual Reality (VR) is becoming a tool that is more often used in various types of activities, including rehabilitation. However, studies using VR rehabilitation mainly focus on comparing the performances of participants, but not their opinions. In this paper, we present a virtual version of the Box and Blocks Test. We also present the results of a pilot study where participants completed a physical version of the Box and Blocks Test and the virtual version, comparing their scores and opinions. We also compare how the participants viewed the passage of time while performing both versions as a way to see how engaged they were during the task. © Springer International Publishing Switzerland 2016.

关键词： Virtual reality

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Believing in BERT: Using expressive communication to enhance trust and counteract operational error in physical human-robot interaction

Believing in BERT: Using expressive communication to enhance...

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IEEE International Workshop on Robot and human Communication (ROMAN)

作者： Adriana Hamacher Nadia Bianchi-Berthouze Anthony G. Pipe Kerstin Eder University College UCL Interaction Centre London UK Bristol Robotics Laboratory Bristol UK Verification and Validation for Safety in Robots research theme Bristol Robotics Laboratory Bristol UK Department of Computer Science University of Bristol UK

Strategies are necessary to mitigate the impact of unexpected behavior in collaborative robotics, and research to develop solutions is lacking. Our aim here was to explore the benefits of an affective interaction, as opposed to a more efficient, less error prone but non-communicative one. The experiment took the form of an omelet-making task, with a wide range of participants interacting directly with BERT2, a humanoid robot assistant. Having significant implications for design, results suggest that efficiency is not the most important aspect of performance for users; a personable, expressive robot was found to be preferable over a more efficient one, despite a considerable trade off in time taken to perform the task. Our findings also suggest that a robot exhibiting human-like characteristics may make users reluctant to `hurt its feelings'; they may even lie in order to avoid this.

关键词： Bit error rate Collaboration humanoid robots Reliability Electronic mail Speech recognition

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Driver drowsiness estimation from EEG signals using online weighted adaptation regularization for regression (OWARR)

arXiv

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arXiv 2017年

作者： Wu, Dongrui Lawhern, Vernon J. Gordon, Stephen Lance, Brent J. Lin, Chin-Teng DataNova NY United States Human Research and Engineering Directorate U.S. Army Research Laboratory Aberdeen Proving GroundMD United States Department of Computer Science University of Texas at San Antonio San AntonioTX United States DCS Corp AlexandriaVA United States Faculty of Engineering and Information Technology University of Technology Sydney Australia Brain Research Center National Chiao-Tung University Hsinchu Taiwan

One big challenge that hinders the transition of brain-computer interfaces (BCIs) from laboratory settings to real-life applications is the availability of high-performance and robust learning algorithms that can effectively handle individual differences, i.e., algorithms that can be applied to a new subject with zero or very little subject-specific calibration data. Transfer learning and domain adaptation have been extensively used for this purpose. However, most previous works focused on classification problems. This paper considers an important regression problem in BCI, namely, online driver drowsiness estimation from EEG signals. By integrating fuzzy sets with domain adaptation, we propose a novel online weighted adaptation regularization for regression (OwARR) algorithm to reduce the amount of subject-specific calibration data, and also a source domain selection (SDS) approach to save about half of the computational cost of OwARR. Using a simulated driving dataset with 15 subjects, we show that OwARR and OwARR-SDS can achieve significantly smaller estimation errors than several other approaches. We also provide comprehensive analyses on the robustness of OwARR and OwARR-SDS. Copyright © 2017, The Authors. All rights reserved.

关键词： Regression analysis

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Public perception of V2X-technology - evaluation of general advantages, disadvantages and reasons for data sharing with connected vehicles

Public perception of V2X-technology - evaluation of general ...

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IEEE Symposium on Intelligent Vehicle

作者： T. Schmidt R. Philipsen P. Themann M. Ziefle Human Computer Interaction Center (HCIC) RWTH Aachen University Aachen Germany Head of the department of communication science (CS) at RWTH Aachen RWTH Aachen University Aachen Germany Manages the development of ADAS RWTH Aachen University

ISBN: (纸本)9781509018222

This work aims at an evaluation of vehicle-to-infrastructure (V2X)-technology through the users' perspective. The technical opportunities of connected vehicles are affected by the acceptance of the technology and possible draw-backs on the privacy and data-security side. With a three-tiered research approach, this work identified beforehand argument lines in focus group discussions, which enabled a quantitative approach to evaluate positively and negatively perceived features of V2X-technology. Also gender related differences can be displayed. Further, the results of the second quantitative study indicate that although users who already have experience with driver assistance systems are more willing to share (personal) data to use V2X-technology, the overall sample is very reserved with respect to sharing driver-related data. Future research on user diversity and cultural differences is outlined.

关键词： Vehicles Safety Data privacy Privacy Connected vehicles Data security

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