检索结果-内蒙古大学图书馆

2017 IEEE International Ultrasonics Symposium, IUS 2017

作者： Miller, Rita J. Han, Aiguo Gates-Tanzer, Lauren T. Erdman, John W. Shisler, Joanna L. Wallig, Matthew A. O'Brien, William D. Bioacoustics Research Laboratory Department of Electrical and Computer Engineering University of Illinois UrbanaIL United States Department of Microbiology University of Illinois UrbanaIL United States Department of Food Science and Human Nutrition University of Illinois UrbanaIL United States Department of Pathobiology University of Illinois UrbanaIL United States

ISBN: (纸本)9781538633830

Identifying real-time changes in tissues via quantitative ultrasound (QUS) approaches are clinically significant, particularly if QUS changes correspond to early detection of disease or provide early assessment of treatment success. Thus, understanding sequential steps in disease progression is key for success. Cerulein-induced inflammation of the pancreas (pancreatitis) in rodent models causes a significant release of pancreatic enzymes into blood, and it induces interstitial edema and inflammatory cell infiltration into the pancreas. This degree of pancreatitis is relatively mild: all animals survive the induction of pancreatitis that resolves itself in ∼7 days. This makes this model an excellent one for studying ultrasonic attenuation coefficient and backscatter coefficient over time. The edematous stroma, cell shrinkage and death, followed by repopulation by dedifferentiated acinar cells, has certain similarities with the morphologies of some forms of pancreatic carcinoma (PCa). The study has several unique contributions: 1) The cerulein-induced pancreatitis model can be used as a surrogate for the PCa model, particularly for detecting early responses to PCa onset/treatment. 2) Understanding the progression of acute pancreatitis per se is imperative for successful intervention and treatment, especially in the early phases of the disease, before other clinical changes are manifest. Pancreatic AC and BSC (25-55 MHz) were estimated in vivo and ex vivo at baseline (no cerulein injections) and from 2 to 168 hr after cerulein injections. Following euthanasia, the pancreas was evaluated histopathologically and biochemically. There are significant measureable early effects on both in vivo AC and BSC (and their respective ex vivo estimates) relative to baseline controls that reflect the temporal biochemical and morphological effects of cerulein. The general trend is decreased AC and BSC at early time points and then rebound increases relative to controls at later time po

关键词： Pancreas In vivo Rats Diseases Ultrasonic imaging Protocols

来源：评论

学校读者我要写书评

暂无评论

The use of semantics in the CrossCult H2020 project 2nd

The use of semantics in the CrossCult H2020 project

引用

2nd COST Action IC1302 International KEYSTONE Conference on Semantic Keyword-Based Search on Structured Data Sources, IKC 2016

作者： Bampatzia, Stavroula Bravo-Quezada, Omar Gustavo Antoniou, Angeliki Nores, Martín López Wallace, Manolis Lepouras, George Vassilakis, Costas Human-Computer Interaction and Virtual Reality Lab Department of Informatics and Telecommunications University of the Peloponnese Tripolis22 131 Greece GIHP4C Research Group Universidad Politécnica Salesiana Cuenca Ecuador Department of Telematics Engineering AtlantTIC Research Centre University of Vigo Vigo Spain Knowledge and Uncertainty Research Laboratory Department of Informatics and Telecommunications University of the Peloponnese Tripolis22 131 Greece

ISBN: (纸本)9783319536392

CrossCult is a newly started project that aims to make reflective history a reality in the European cultural context. In this paper we examine how the project aims to take advantage of advances in semantic technologies in order to achieve its goals. Specifically, we see what the quest for reflection is and, through practical examples from two of the project’s flagship pilots, explain how semantics can assist in this direction. © Springer International Publishing AG 2017.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

Corrigendum to "Profiling of mitochondrial genomes in SCA3/MJD patients from mainland China" [Gene 738 (2020) 144487]

引用

Gene 2020年 740卷 144607页

作者： Hongyu Yuan Huihua Yang Linliu Peng Yun Peng Zhao Chen Linlin Wan Chunrong Wang Yuting Shi Victor Wei Zhang Beisha Tang Rong Qiu Hong Jiang Department of Neurology Xiangya Hospital Central South University Changsha Hunan China. AmCare Genomics Laboratory Guangzhou China Department of Molecular and Human Genetics Baylor College of Medicine Houston TX USA. Department of Neurology Xiangya Hospital Central South University Changsha Hunan China National Clinical Research Center for Geriatric Diseases Central South University Changsha Hunan China Key Laboratory of Hunan Province in Neurodegenerative Disorders Central South University Changsha Hunan China Laboratory of Medical Genetics Central South University Changsha Hunan China. School of Computer Science and Engineering Central South University Changsha China. Electronic address: qiurongrong@***. Laboratory of Medical Genetics Central South University Changsha Hunan China Xinjiang Medical University Urumchi Xinjiang China. Electronic address: jianghong73868@***.

来源：评论

学校读者我要写书评

暂无评论

Encoder-decoder with focus-mechanism for sequence labelling based spoken language understanding

Encoder-decoder with focus-mechanism for sequence labelling ...

引用

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Su Zhu Kai Yu Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering SpeechLab Department of Computer Science and Engineering Brain Science and Technology Research Center Shanghai Jiao Tong University China

ISBN: (纸本)9781509041183

This paper investigates the framework of encoder-decoder with attention for sequence labelling based spoken language understanding. We introduce Bidirectional Long Short Term Memory - Long Short Term Memory networks (BLSTM-LSTM) as the encoder-decoder model to fully utilize the power of deep learning. In the sequence labelling task, the input and output sequences are aligned word by word, while the attention mechanism cannot provide the exact alignment. To address this limitation, we propose a novel focus mechanism for encoder-decoder framework. Experiments on the standard ATIS dataset showed that BLSTM-LSTM with focus mechanism defined the new state-of-the-art by outperforming standard BLSTM and attention based encoder-decoder. Further experiments also show that the proposed model is more robust to speech recognition errors.

关键词： Spoken language understanding encoder-decoder focus-mechanism robustness spoken language understanding Word Packaging Short-Term Memory Robustness Speech recognition

来源：评论

学校读者我要写书评

暂无评论

Concept transfer learning for adaptive language understanding

arXiv

引用

arXiv 2017年

作者： Zhu, Su Yu, Kai Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering SpeechLab Department of Computer Science and Engineering Brain Science and Technology Research Center Shanghai Jiao Tong University Shanghai China

Semantic transfer is an important problem of the language understanding (LU), which is about how the recognition pattern of a semantic concept benefits other associated concepts. In this paper, we propose a new semantic representation based on combinatory concepts. Semantic slot is represented as a composition of different atomic concepts in different semantic dimensions. Specifically, we propose the concept transfer learning methods for extending combinatory concepts in LU. The concept transfer learning makes use of the common ground of combinatory concepts shown in the literal description. Our methods are applied to two adaptive LU problems: semantic slot refinement and domain adaptation, and respectively evaluated on two benchmark LU datasets: ATIS and DSTC 2&3. The experiment results show that the concept transfer learning is very efficient for semantic slot refinement and domain adaptation in the LU. Copyright © 2017, The Authors. All rights reserved.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

引用

18th International Conference on human-computer interaction, HCI International 2016

作者： Deniz, Gencay Durdu, Pınar Onay Department of Computer Engineering Graduate School of Natural and Applied Sciences Kocaeli University IzmitKocaeli Turkey Human Computer Interaction Research Laboratory Department of Computer Engineering Kocaeli University IzmitKocaeli Turkey

ISBN: (数字)9783319395166

ISBN: (纸本)9783319395159

Brain computer Interface (BCI) is an emerging research area which has been studied over thirty years extensively in the fields of clinical neurophysiology and neuroscience however it is now recognized as an interdisciplinary field involving neurobiology, psychology, engineering, mathematics and computer science. HCI community has begun to deal with BCI and substantial publications have been made in HCI related journals and conferences in recent years. In the scope of this research we conducted a systematic mapping study with the articles published in proceedings of HCI International Conferences to reveal the trends, general aims of the articles, which signal recording modality were used, for what kind of practical applications were developed, which feature types and classification algorithms were used and what are the nationalities and institutes of contributing authors in the scope of HCI International conference. The aim was to give insight to the researchers who were studying or would like to study in the area of BCI. According to the results of the mapping, research type of BCI articles were mainly in the category of emerging applications not related to communication and control. General aim of the articles was determined as practical applications of BCI technologies first and then development or improvement of methodologies for signal processing issues. Visual P300 was the mostly applied BCI paradigms and SSVEP and motor imagery followed next. Most of the articles had reported EEG as a signal acquisition method, ICA or bandpass filter as a preprocessing or filtering method, ERP as a feature type and LDA and LR as a classification algorithm method. © Springer International Publishing Switzerland 2016.

关键词： Brain computer interface

来源：评论

学校读者我要写书评

暂无评论

Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease Study (vol 2, pg 144, 2021)

引用

LANCET GLOBAL HEALTH 2021年第4期9卷 E408-E408页

作者： Steinmetz, Jaimie D. Vision and Eye Research Institute Anglia Ruskin University Cambridge United Kingdom Biomedical Informatics Seoul National University Hospital Seoul South Korea Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Institute of Health Services Research Yonsei University Seoul South Korea Department of Ophthalmology University of Washington Seattle WA United States Department of Mathematics Imperial College London London United Kingdom WHO Collaborating Centre for Public Health Education and Training Imperial College London London United Kingdom Department of Primary Care and Public Health Imperial College London London United Kingdom School of Population and Global Health University of Melbourne Carlton VIC Australia School of Optometry and Vision Science UNSW Sydney NSW Australia Brien Holden Vision Institute Sydney Australia Department of Ophthalmology University of Adelaide Adelaide SA Australia Department of Parasitology and Mycology Jahrom University of Medical Sciences Jahrom Iran Department of Clinical Sciences University of Sharjah Sharjah United Arab Emirates Ophthalmic Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Department of Ophthalmology Shahid Beheshti University of Medical Sciences Tehran Iran Research Institute for Endocrine Sciences Shahid Beheshti University of Medical Sciences Tehran Iran Ophthalmic Epidemiology Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Health Services Management Department Qazvin University of Medical Sciences Qazvin Iran Department of Systems Populations and Leadership University of Michigan Ann Arbor MI United States Department of Medicine Sofia Ismail Memorial Medical Centre Bogura Bangladesh The Fred Hollows Foundation Sydney NSW Australia Berhan Public Health & Eye Care Consultancy Addis A

Hospital El Salvador: a novel paradigm of intensive care in response to COVID-19 in central America. Lancet Glob Health 2021;9: e241?42?In this Comment, the conflict of interest statement should have included the following: ?By virtue of their roles within a public hospital or the Ministry of Health, MB, LC, WH, and XS are government employees. The findings and conclusions in the Comment are only those of the authors.? This correction has been made as of Feb 26, 2021.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Multi-view LSTM Language Model with Word-synchronized Auxiliary Feature for LVCSR

Multi-view LSTM Language Model with Word-synchronized Auxili...

引用

第十六届全国计算语言学学术会议暨第五届基于自然标注大数据的自然语言处理国际学术研讨会

作者： Yue Wu Tianxing He Zhehuai Chen Yanmin Qian Kai Yu Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering SpeechLab Department of Computer Science and Engineering Brain Science and Technology Research Center Shanghai Jiao Tong UniversityShanghaiChina

ISBN: (纸本)9783319690049

Recently long short-term memory language model(LSTMLM)has received tremendous interests from both language and speech communities,due to its superiorty on modelling long-term ***,integrating auxiliary information,such as context feature,into the LSTM LM has shown improved performance in perplexity(PPL).However,improper feed of auxiliary information won't give consistent gain on word error rate(WER)in a large vocabulary continuous speech recognition(LVCSR)*** solve this problem,a multi-view LSTM LM architecture combining a tagging model is proposed in this *** an on-line unidirectional LSTM-RNN is built as a tagging model,which can generate word-synchronized auxiliary *** the auxiliary feature from the tagging model is combined with the word sequence to train a multi-view unidirectional LSTM *** training modes for the tagging model and language model are explored and *** new architecture is evaluated on PTB,Fisher English and SMS Chinese data sets,and the results show that not only LM PPL promotion is observed,but also the improvements can be well transferred to WER reduction in ASR-rescore task.

关键词： LSTM language model speech recognition multi-view aux-iliary feature tagging model

来源：评论

学校读者我要写书评

暂无评论

Genome-wide analyses identify 30 loci associated with obsessive–compulsive disorder

引用

Nature Genetics 2025年 1-13页

作者： Strom, Nora I. Gerring, Zachary F. Galimberti, Marco Yu, Dongmei Halvorsen, Matthew W. Abdellaoui, Abdel Rodriguez-Fontenla, Cristina Sealock, Julia M. Bigdeli, Tim Coleman, Jonathan R. Mahjani, Behrang Thorp, Jackson G. Bey, Katharina Burton, Christie L. Luykx, Jurjen J. Zai, Gwyneth Alemany, Silvia Andre, Christine Askland, Kathleen D. Bäckman, Julia Banaj, Nerisa Barlassina, Cristina Nissen, Judith Becker Bienvenu, O. Joseph Black, Donald Bloch, Michael H. Børte, Sigrid Bosch, Rosa Breen, Michael Brennan, Brian P. Brentani, Helena Buxbaum, Joseph D. Bybjerg-Grauholm, Jonas Byrne, Enda M. Cabana-Dominguez, Judit Camarena, Beatriz Camarena, Adrian Cappi, Carolina Carracedo, Angel Casas, Miguel Cavallini, Maria Cristina Ciullo, Valentina Cook, Edwin H. Crosby, Jesse Cullen, Bernadette A. De Schipper, Elles J. Delorme, Richard Djurovic, Srdjan Elias, Jason A. Estivill, Xavier Falkenstein, Martha J. Fundin, Bengt T. Garner, Lauryn Gironda, Christina Goes, Fernando S. Grados, Marco A. Grove, Jakob Guo, Wei Haavik, Jan Hagen, Kristen Harrington, Kelly Havdahl, Alexandra Höffler, Kira D. Hounie, Ana G. Hucks, Donald Hultman, Christina Janecka, Magdalena Jenike, Eric Karlsson, Elinor K. Kelley, Kara Klawohn, Julia Krasnow, Janice E. Krebs, Kristi Lange, Christoph Lanzagorta, Nuria Levey, Daniel Lindblad-Toh, Kerstin Macciardi, Fabio Maher, Brion Mathes, Brittany McArthur, Evonne McGregor, Nathaniel McLaughlin, Nicole C. Meier, Sandra Miguel, Euripedes C. Mulhern, Maureen Nestadt, Paul S. Nurmi, Erika L. O’Connell, Kevin S. Osiecki, Lisa Ousdal, Olga Therese Palviainen, Teemu Pedersen, Nancy L. Piras, Federica Potluri, Sriramya Rabionet, Raquel Ramirez, Alfredo Rauch, Scott Reichenberg, Abraham Riddle, Mark A. Ripke, Stephan Rosário, Maria C. Sampaio, Aline S. Schiele, Miriam A. Skogholt, Anne Heidi Sloofman, Laura G. Smit, Jan Artigas, María Soler Thomas, Laurent F. Tifft, Eric Vallada, Homero van Kirk, Nathanial Veenstra-VanderWeele, Jeremy Vulink, Nienke N. Walker, Christopher P. Wang, Ying Wendland, Jens R. Winsvold Department of Psychology Humboldt-Universität zu Berlin Berlin Germany Department of Psychiatric Phenomics and Genomics (IPPG) Ludwig-Maximilians University Munich Munich Germany Centre for Psychiatry Research Department of Clinical Neuroscience Karolinska Institutet and Stockholm Health Services Region Stockholm Stockholm Sweden Department of Biomedicine Aarhus University Aarhus Denmark University Hospital of Psychiatry and Psychotherapy University of Bern Bern Switzerland Department of Mental Health and Neuroscience Translational Neurogenomics QIMR Berghofer Medical Research Institute Brisbane QLD Australia Department of Population Health and Immunity Healthy Development and Ageing Walter and Eliza Hall Institute of Medical Research Melbourne VIC Australia Department of Psychiatry Human Genetics Yale University New Haven CT United States VA Connecticut Healthcare System West Haven CT United States Department of Center for Genomic Medicine Psychiatric and Neurodevelopmental Genetics Unit Massachusetts General Hospital Boston MA United States Stanley Center for Psychiatric Research Broad Institute of MIT and Harvard Cambridge MA United States Department of Genetics University of North Carolina at Chapel Hill Chapel Hill NC United States Department of Psychiatry Amsterdam University Medical Centers University of Amsterdam Amsterdam Netherlands Center for Research in Molecular Medicine and Chronic Diseases (CiMUS) Genomics and Bioinformatics University of Santiago de Compostela Santiago de Compostela Spain Grupo de Medicina Xenómica Genetics Instituto de Investigación Sanitaria de Santiago de Compostela (FIDIS) Santiago de Compostela Spain Vanderbilt Genetics Institute Vanderbilt University Nashville TN United States Department of Psychiatry and Behavioral Sciences SUNY Downstate Health Sciences University Brooklyn NY United States VA NY Harbor Healthcare System Brooklyn NY United States Social Genetic and Developmental Psychiatry Centre Insti

Obsessive–compulsive disorder (OCD) affects ~1% of children and adults and is partly caused by genetic factors. We conducted a genome-wide association study (GWAS) meta-analysis combining 53,660 OCD cases and 2,044,417 controls and identified 30 independent genome-wide significant loci. Gene-based approaches identified 249 potential effector genes for OCD, with 25 of these classified as the most likely causal candidates, including WDR6, DALRD3 and CTNND1 and multiple genes in the major histocompatibility complex (MHC) region. We estimated that ~11,500 genetic variants explained 90% of OCD genetic heritability. OCD genetic risk was associated with excitatory neurons in the hippocampus and the cortex, along with D₁ and D₂ type dopamine receptor-containing medium spiny neurons. OCD genetic risk was shared with 65 of 112 additional phenotypes, including all the psychiatric disorders we examined. In particular, OCD shared genetic risk with anxiety, depression, anorexia nervosa and Tourette syndrome and was negatively associated with inflammatory bowel diseases, educational attainment and body mass index. © The Author(s) 2025.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Unknown input observer based on discrete-time nonlinear descriptor model for understanding sitting control

引用

IFAC-PapersOnLine 2017年第1期50卷 820-825页

作者： Blandeau M. Guerra T.M. Estrada-Manzo V. Pudlo P. Gabrielli F. Laboratory of Industrial and Human Automation control Mechanical engineering and Computer Science (LAMIH UMR CNRS 8201) Université de Valenciennes et du Hainaut-Cambrésis Valenciennes France Department of Electrical and Electronics Engineering Sonora Institute of Technology 5 de febrero 818 Sur CP Obregon Sonora 85000 Mexico

The present paper studies sitting control for persons with complete thoracic spinal cord injury by means of automatic control. The methodology begins by modeling sitting control, after a discretization of the nonlinear descriptor model is computed, then a Takagi-Sugeno model is obtained for further manipulations. The approach uses unknown input observers to estimate states and internal variable of the system. The design conditions are expressed as linear matrix inequalities, whose solvability depends on convex optimization techniques. Simulations are conducted to show the effectiveness of the proposed observer. © 2017

关键词： Discrete-Time systems Inverted pendulum Nonlinear descriptor systems Sitting movement Spinal Cord Injury Takagi-Sugeno models Unknown input observer

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：