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2016 IEEE International Conference on Automation science and Engineering, CASE 2016

作者： Lioulemes, Alexandros Theofanidis, Michail Makedon, Fillia Human-Centered Computing Laboratory Department of Computer Science and Engineering University of Texas Arlington United States Institute of Informatics and Telecommunications NCSR Athens Greece Heracleia Laboratory United States

ISBN: (纸本)9781509024094

Upper-limb robotic rehabilitation systems should inform the therapists for their patients status. Such therapy systems must be developed carefully by taking into consideration real life uncertainties that associate with sensor error. In our paper, we describe a system which is composed of a depth camera that tracks the motion of the patients upper limb, and a robotic manipulator that challenges the patient with repetitive exercises. The goal of this study is to propose a motion analysis system that improves the readings of the depth camera, through the use of a kinematic model that describes the motion of the human arm. In our current experimental set-up we are using the Kinect v2 to capture a participant who performs rehabilitation exercises with the Barrett WAM robotic manipulator. Finally, we provide a numerical comparison among the stand alone measurements from the Kinect v2, the estimated motion parameters of our system and the VICON, which we consider as an error-free ground truth apparatus. © 2016 IEEE.

关键词： Kinematics

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Kinematic study with and without ski boots using ski simulator

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science and Sports 2017年第1期32卷 e9-e14页

作者： Lee, H.T. Kim, Y.J. Kim, Y.S. Department of Computer Science and Engineering Korea University of Technology and Education Chunjeol-ro 330-708 Cheonan South Korea Human-centered Interaction Laboratory Korea University of Technology and Education Chunjeol-ro 330-708 Cheonan South Korea Department of Marine Sports Pukyong National University Yongso-ro 608-737 Nam-gu Busan South Korea

Objectives We performed a comparative analysis of ski simulators, which remove seasonal and regional constraints, to effectively improve training methods. Equipment and methods We compared the kinematic characteristics with and without ski boots on the ski simulator and found significant differences in lower limb joint angles, run-time, muscle activity, and heart rate. Results Based on these results, we suggest the following exercise guidelines for ski simulators: (i) simulator skiing without boots results in a wider range of motion (ROM) and can be utilized as low-intensity exercise to improve muscle endurance and balance and (ii) simulator skiing with boots enables faster movements within a limited range and can help improve muscle strength. These results are not limited to ski training;they can also be applied to specialized exercise improvement and strengthening programs as well as physical training. © 2016 Elsevier Masson SAS

关键词： Lower limb joint angle Muscle activity Ski simulator exercise Skiing analysis

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Corrigendum to "Dissecting the genetic heterogeneity of gastric cancer"

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EBioMedicine 2023年 94卷 104709页

作者： Timo Hess Carlo Maj Jan Gehlen Oleg Borisov Stephan L Haas Ines Gockel Michael Vieth Guillaume Piessen Hakan Alakus Yogesh Vashist Carina Pereira Michael Knapp Vitalia Schüller Alexander Quaas Heike I Grabsch Jessica Trautmann Ewa Malecka-Wojciesko Anna Mokrowiecka Jan Speller Andreas Mayr Julia Schröder Axel M Hillmer Dominik Heider Florian Lordick Ángeles Pérez-Aísa Rafael Campo Jesús Espinel Fernando Geijo Concha Thomson Luis Bujanda Federico Sopeña Ángel Lanas María Pellisé Claudia Pauligk Thorsten Oliver Goetze Carolin Zelck Julian Reingruber Emadeldin Hassanin Peter Elbe Sandra Alsabeah Mats Lindblad Magnus Nilsson Nicole Kreuser René Thieme Francesca Tavano Roberta Pastorino Dario Arzani Roberto Persiani Jin-On Jung Henrik Nienhüser Katja Ott Ralf R Schumann Oliver Kumpf Susen Burock Volker Arndt Anna Jakubowska Małgorzta Ławniczak Victor Moreno Vicente Martín Manolis Kogevinas Marina Pollán Justyna Dąbrowska Antonio Salas Olivier Cussenot Anne Boland-Auge Delphine Daian Jean-Francois Deleuze Erika Salvi Maris Teder-Laving Gianluca Tomasello Margherita Ratti Chiara Senti Valli De Re Agostino Steffan Arnulf H Hölscher Katharina Messerle Christiane Josephine Bruns Armands Sīviņš Inga Bogdanova Jurgita Skieceviciene Justina Arstikyte Markus Moehler Hauke Lang Peter P Grimminger Martin Kruschewski Nikolaos Vassos Claus Schildberg Philipp Lingohr Karsten Ridwelski Hans Lippert Nadine Fricker Peter Krawitz Per Hoffmann Markus M Nöthen Lothar Veits Jakob R Izbicki Adrianna Mostowska Federico Martinón-Torres Daniele Cusi Rolf Adolfsson Geraldine Cancel-Tassin Aksana Höblinger Ernst Rodermann Monika Ludwig Gisela Keller Andres Metspalu Hermann Brenner Joerg Heller Markus Neef Michael Schepke Franz Ludwig Dumoulin Lutz Hamann Renato Cannizzaro Michele Ghidini Dominik Plaßmann Michael Geppert Peter Malfertheiner Olivier Glehen Tomasz Skoczylas Marek Majewski Jan Lubiński Orazio Palmieri Stefania Boccia Anna Latiano Nuria Aragones Thomas Schmidt Mário Dinis-Ribeiro Rui Medeiros Salah-Eddin Al-Batran Mārcis Leja Juozas Institute of Human Genetics University of Marburg Marburg Germany Institute of Human Genetics University of Bonn School of Medicine & University Hospital Bonn Bonn Germany. Institute for Genomic Statistics and Bioinformatics Medical Faculty University of Bonn Bonn Germany. Institute of Human Genetics University of Marburg Marburg Germany. Department of Upper GI Diseases Karolinska University Hospital and Unit of Gastroenterology and Rheumatology Karolinska Institutet Stockholm Sweden. Department of Visceral Transplant Thoracic and Vascular Surgery University Hospital Leipzig Leipzig Germany. Institute for Pathology Friedrich-Alexander-University Erlangen-Nuernberg Klinikum Bayreuth Bayreuth Germany. Department of Digestive and Oncological Surgery Claude Huriez Hospital CHU Lille Lille France. Department of General Visceral Cancer and Transplant Surgery University of Cologne Cologne Germany. Department of General Visceral and Thoracic Surgery University Medical Center Hamburg-Eppendorf University of Hamburg Hamburg Germany Centre for Surgical Oncology Medias Klinikum Burghausen Burghausen Germany. Molecular Oncology and Viral Pathology Group IPO Porto Research Center (CI-IPOP) Portuguese Institute of Oncology of Porto (IPO Porto) 4200-072 Porto Portugal Porto Comprehensive Cancer Center & RISE @ CI-IPO University of Porto 4200-450 Porto Portugal. Institute of Medical Biometrics Informatics and Epidemiology (IMBIE) Medical Faculty University of Bonn Bonn Germany. Institute of Pathology University Hospital Cologne Medical Faculty University of Cologne Germany. Department of Pathology GROW School for Oncology and Developmental Biology Maastricht University Medical Center Maastricht the Netherlands Pathology and Data Analytics Leeds Institute of Medical Research at St James's University of Leeds Leeds United Kingdom. Department of Digestive Tract Diseases Medical University of Lodz Lodz Poland. Department of Mathematics and Computer Science Unive

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A report on the first international workshop on research methods in animal-computer interaction

A report on the first international workshop on research met...

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2017 ACM SIGCHI Conference on human Factors in Computing Systems, CHI EA 2017

作者： Zamansky, Anna Roshier, Amanda Mancini, Clara Collins, Emily C. Hall, Carol Grillaert, Katie Morrison, Ann North, Steve Wirman, Hanna Information Systems Department University of Haifa Israel School of Veterinary Medicine and Science University of Nottingham United Kingdom Animal-Computer Interaction Lab Open University Milton Keynes United Kingdom Sheffield Robotics University of Sheffield United Kingdom School of Animal Rural and Environmental Sciences Nottingham Trent University United Kingdom Messerli Research Institute University of Veterinary Medicine Medical University of Vienna University of Vienna Austria Department of Architecture Design and Media Technology Aalborg University Denmark Mixed Reality Laboratory University of Nottingham United Kingdom School of Design Hong Kong Polytechnic University Hong Kong

ISBN: (纸本)9781450346566

Animal-computer interaction (ACI) is a new and quickly developing discipline, which is closely related to HCI and is making reference to some of its theoretical frameworks and research methodologies. The first edition of the Workshop on Research Methods in ACI (RM4ACI) was co-located with the Third International Conference on Animal-computer interaction, which took place in Milton-Keynes, UK in November 2016. This paper presents an overview of the workshop, including insights from discussions on some of the challenges faced by the ACI community as it works to develop ACI as a discipline, and on important opportunities for cross-fertilization between HCI and ACI that the HCI community could consider. Copyright © 2017 by the Association for Computing Machinery, Inc. (ACM).

关键词： Animals

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I can guess what you mean: A monolingual query enhancement for machine translation 15th

I can guess what you mean: A monolingual query enhancement f...

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15th China National Conference on Chinese Computational Linguistics, CCL 2016 and 4th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2016

作者： Pang, Chenxi Zhao, Hai Li, Zhongyi Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9783319476735

We introduce a monolingual query method with additional webpage data to improve the translation quality for more and more official use requirement of statistical machine translation outputs. The motivation behind this method is that we can improve the readability of sentence once for all if we replace translation sentences with the most related sentences generated by human. Based on vector space representations for translated sentences, we perform a query on search engine for additional reference text data. Then we rank all translation sentences to make necessary replacement from the query results. Various vector representations for sentence, TFIDF, latent semantic indexing, and neural network word embedding, are conducted and the experimental results show an alternative solution to enhance the current machine translation with a performance improvement about 0.5 BLEU in French-to-English task and 0.7 BLEU in English-to-Chinese task. © Springer International Publishing AG 2016.

关键词： Machine translation

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Shallow discourse parsing using convolutional neural network 20

Shallow discourse parsing using convolutional neural network

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20th SIGNLL Conference on Computational Natural Language Learning: Shared Task, CoNLL 2016

作者： Qin, Lianhui Zhang, Zhisong Zhao, Hai Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)1932432663

This paper describes a discourse parsing system for our participation in the CoNLL 2016 Shared Task. We focus on the supplementary task: Sense Classification, especially the Non-Explicit one which is the bottleneck of discourse parsing system. To improve Non-Explicit sense classification, we propose a Convolutional Neural Network (CNN) model to determine the senses for both English and Chinese tasks. We also explore a traditional linear model with novel dependency features for Explicit sense classification. Compared with the best system in CoNLL-2015, our system achieves competitive performances. Moreover, as shown in the results, our system has higher F1 score on Non-Explicit sense classification. © 2016 Association for Computational Linguistics.

关键词： Classification (of information)

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A stacking gated neural architecture for implicit discourse relation classification

A stacking gated neural architecture for implicit discourse ...

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2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016

ISBN: (纸本)9781945626258

Discourse parsing is considered as one of the most challenging natural language processing (NLP) tasks. Implicit discourse relation classification is the bottleneck for discourse parsing. Without the guide of explicit discourse connectives, the relation of sentence pairs are very hard to be inferred. This paper proposes a stacking neural network model to solve the classification problem in which a convolutional neural network (CNN) is utilized for sentence modeling and a collaborative gated neural network (CGNN) is proposed for feature transformation. Our evaluation and comparisons show that the proposed model outperforms previous state-of-the-art systems. © 2016 Association for Computational Linguistics

关键词： Neural network models

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Landscape of somatic mutations in 560 breast cancer whole-genome sequences (vol 534, pg 47, 2016)

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NATURE 2019年第7742期566卷 E1-E1页

作者： Nik-Zainal, Serena Davies, Helen Staaf, Johan Ramakrishna, Manasa Glodzik, Dominik Zou, Xueqing Martincorena, Inigo Alexandrov, Ludmil B. Martin, Sancha Wedge, David C. Van Loo, Peter Ju, Young Seok Smid, Marcel Brinkman, Arie B. Morganella, Sandro Aure, Miriam R. Lingjaerde, Ole Christian Langerod, Anita Ringner, Markus Ahn, Sung-Min Boyault, Sandrine Brock, Jane E. Broeks, Annegien Butler, Adam Desmedt, Christine Dirix, Luc Dronov, Serge Fatima, Aquila Foekens, John A. Gerstung, Moritz Hooijer, Gerrit K. J. Jang, Se Jin Jones, David R. Kim, Hyung-Yong King, Tari A. Krishnamurthy, Savitri Lee, Hee Jin Lee, Jeong-Yeon Li, Yilong McLaren, Stuart Menzies, Andrew Mustonen, Ville O'Meara, Sarah Pauporte, Iris Pivot, Xavier Purdie, Colin A. Raine, Keiran Ramakrishnan, Kamna Rodriguez-Gonzalez, F. German Romieu, Gilles Sieuwerts, Anieta M. Simpson, Peter T. Shepherd, Rebecca Stebbings, Lucy Stefansson, Olafur A. Teague, Jon Tommasi, Stefania Treilleux, Isabelle Van den Eynden, Gert G. Vermeulen, Peter Vincent-Salomon, Anne Yates, Lucy Caldas, Carlos van't Veer, Laura Tutt, Andrew Knappskog, Stian Tan, Benita Kiat Tee Jonkers, Jos Borg, Ake Ueno, Naoto T. Sotiriou, Christos Viari, Alain Futreal, P. Andrew Campbell, Peter J. Span, Paul N. Van Laere, Steven Lakhani, Sunil R. Eyfjord, Jorunn E. Thompson, Alastair M. Birney, Ewan Stunnenberg, Hendrik G. de Vijver, Marc J. van Martens, John W. M. Borresen-Dale, Anne-Lise Richardson, Andrea L. Kong, Gu Thomas, Gilles Stratton, Michael R. Wellcome Trust Sanger Institute Hinxton Cambridge UK East Anglian Medical Genetics Service Cambridge University Hospitals NHS Foundation Trust Cambridge UK Division of Oncology and Pathology Department of Clinical Sciences Lund Lund University Lund Sweden Theoretical Biology and Biophysics (T-6) Los Alamos National Laboratory Los Alamos USA Center for Nonlinear Studies Los Alamos National Laboratory Los Alamos USA Department of Human Genetics University of Leuven Leuven Belgium Department of Medical Oncology Erasmus MC Cancer Institute and Cancer Genomics Netherlands Erasmus University Medical Center Rotterdam The Netherlands Radboud University Department of Molecular Biology Faculty of Science Nijmegen The Netherlands European Molecular Biology Laboratory European Bioinformatics Institute Wellcome Trust Genome Campus Hinxton UK Department of Cancer Genetics Institute for Cancer Research Oslo University Hospital The Norwegian Radium Hospital Oslo Norway K. G. Jebsen Centre for Breast Cancer Research Institute for Clinical Medicine University of Oslo Oslo Norway Department of Computer Science University of Oslo Oslo Norway Gachon Institute of Genome Medicine and Science Gachon University Gil Medical Center Incheon South Korea Translational Research Lab Centre Léon Bérard Lyon Cedex 08 France Department of Pathology Brigham and Women’s Hospital Boston USA The Netherlands Cancer Institute Amsterdam The Netherlands Breast Cancer Translational Research Laboratory Université Libre de Bruxelles Institut Jules Bordet Brussels Belgium Translational Cancer Research Unit Center for Oncological Research Faculty of Medicine and Health Sciences University of Antwerp Antwerp Belgium Dana-Farber Cancer Institute Boston Massachusetts USA Department of Pathology Academic Medical Center Amsterdam The Netherlands Department of Pathology Asan Medical Center College of Medicine Ulsan University Ulsan South Korea Department of Pathology College of Medicine Hany

In the Methods section of this Article, 'greater than' should have been 'less than' in the sentence 'Putative regions of clustered rearrangements were identified as having an average inter-rearrangement distance that was at least 10 times greater than the whole-genome average for the individual sample. '. The Article has not been corrected.

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Toward integrating Cognitive Tutor interaction data with human tutoring text dialogue data in LearnSphere

Toward integrating Cognitive Tutor interaction data with hum...

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2016 EDM Workshops and Tutorials, WT-EDM 2016

作者： Fancsali, Stephen E. Ritter, Steven Berman, Susan R. Yudelson, Michael Rus, Vasile Morrison, Donald M. Carnegie Learning Inc. 437 Grant Street Suite 1906 PittsburghPA15219 United States Human-Computer Interaction Institute Carnegie Mellon University 5000 Forbes Avenue PittsburghPA15213 United States Institute for Intelligent Systems Department of Computer Science University of Memphis MemphisTN United States

We present details of a large, novel dataset that includes both Carnegie Learning Cognitive Tutor interaction data and various data related to learner interactions with human tutors via an online chat while using the Cognitive Tutor. We discuss integrating these two data modalities within LearnSphere and propose workflows (and corresponding analyses) germane to our U.S. department of Defense Advanced Distributed Learning Initiative-funded Integrating human and Automated Tutoring Systems (IHATS) project, demonstrating various aspects of the potential of the LearnSphere framework. © 2016, CEUR-WS. All rights reserved.

关键词： Cognitive systems

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Interconnecting objects, visitors, sites and (Hi)stories across cultural and historical concepts: The crosscult project 6th

Interconnecting objects, visitors, sites and (Hi)stories acr...

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6th International Euro-Mediterranean Conference on Digital Heritage, EuroMed 2016

作者： Vassilakis, Costas Antoniou, Angeliki Lepouras, George Wallace, Manolis Lykourentzou, Ioanna Naudet, Yannick Human-Computer Interaction and Virtual Reality Lab Department of Informatics and Telecommunications University of the Peloponnese Tripolis22 131 Greece Knowledge and Uncertainty Research Laboratory Department of Informatics and Telecommunications University of the Peloponnese Tripolis22 131 Greece Luxembourg Institute of Science and Technology 5 avenue des Hauts-Fourneaux Esch/Alzette4363 Luxembourg

ISBN: (纸本)9783319484952

human History, is a huge mesh of interrelated facts and concepts, spanning beyond borders, encompassing global aspects and finally constituting a shared, global experience. This is especially the case regarding European history, which is highly interconnected by nature;however, most History-related experiences that are today offered to the greater public, from schools to museums, are siloed. The CrossCult project aims to provide the means for offering citizens and cultural venue visitors a more holistic view of history, in the light of cross-border interconnections among pieces of cultural heritage, other citizens viewpoints and physical venues. To this end, the CrossCult project will built a comprehensive knowledge base encompassing information and semantic relationships across cultural information elements, and will provide the technological means for delivering the contents of this knowledge base to citizens and venue visitors in a highly personalized manner, creating narratives for the interactive experiences that maximise situational curiosity and serendipitous learning. The CrossCult platform will also exploit the cognitive/emotional profiles of the participants as well as temporal, spatial and miscellaneous features of context, including holidays and anniversaries, social media trending topics and so forth. © Springer International Publishing AG 2016.

关键词： Semantics

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