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Sex, obesity, diabetes, and exposure to particulate matter among patients with severe asthma: Scientific insights from a comparative analysis of open clinical data sources during a five-day hackathon

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JOURNAL OF BIOMEDICAL INFORMATICS 2019年 100卷 103325-000页

作者： Fecho, Karamarie Ahalt, Stanley C. Arunachalam, Saravanan Champion, James Chute, Christopher G. Davis, Sarah Gersing, Kenneth Glusman, Gustavo Hadlock, Jennifer Lee, Jewel Pfaff, Emily Robinson, Max Sid, Eric Ta, Casey Xu, Hao Zhu, Richard Zhu, Qian Peden, David B. Univ North Carolina Chapel Hill Renaissance Comp Inst Chapel Hill NC 27599 USA Univ North Carolina Chapel Hill Inst Environm Chapel Hill NC USA Univ North Carolina Chapel Hill North Carolina Translat & Clin Sci Inst Chapel Hill NC USA Johns Hopkins Univ Baltimore MD USA NIH Natl Ctr Advancing Translat Sci Bldg 10 Bethesda MD 20892 USA Inst Syst Biol Seattle WA USA Columbia Univ New York NY USA Univ North Carolina Chapel Hill Ctr Environm Med Asthma & Lung Biol Chapel Hill NC USA Univ North Carolina Chapel Hill Dept Pediat Div Allergy Immunol & Rheumatol Sch Med Chapel Hill NC USA

This special communication describes activities, products, and lessons learned from a recent hackathon that was funded by the National Center for Advancing Translational Sciences via the Biomedical Data Translator program (`Translator'). Specifically, Translator team members self-organized and worked together to conceptualize and execute, over a five-day period, a multi-institutional clinical research study that aimed to examine, using open clinical data sources, relationships between sex, obesity, diabetes, and exposure to airborne fine particulate matter among patients with severe asthma. The goal was to develop a proof of concept that this new model of collaboration and data sharing could effectively produce meaningful scientific results and generate new scientific hypotheses. Three Translator Clinical Knowledge Sources, each of which provides open access (via application programming interfaces) to data derived from the electronic health record systems of major academic institutions, served as the source of study data. Jupyter Python notebooks, shared in GitHub repositories, were used to call the knowledge sources and analyze and integrate the results. The results replicated established or suspected relationships between sex, obesity, diabetes, exposure to airborne fine particulate matter, and severe asthma. In addition, the results demonstrated specific differences across the three Translator Clinical Knowledge Sources, suggesting cohort- and/or environment-specific factors related to the services themselves or the catchment area from which each service derives patient data. Collectively, this special communication demonstrates the power and utility of intense, team-oriented hackathons and offers general technical, organizational, and scientific lessons learned.

关键词： Hackathon Open data Clinical data Team science application programming interface Multi-institutional collaboration

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Themis-ml: A Fairness-Aware Machine Learning interface for End-To-End Discrimination Discovery and Mitigation

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JOURNAL OF TECHNOLOGY IN HUMAN SERVICES 2018年第1期36卷 15-30页

作者： Bantilan, Niels Arena Io New York NY USA

As more industries integrate machine learning into socially sensitive decision processes like hiring, loan-approval, and parole-granting, we are at risk of perpetuating historical and contemporary socioeconomic disparities. This is a critical problem because on the one hand, organizations who use but do not understand the discriminatory potential of such systems will facilitate the widening of social disparities under the assumption that algorithms are categorically objective. On the other hand, the responsible use of machine learning can help us measure, understand, and mitigate the implicit historical biases in socially sensitive data by expressing implicit decision-making mental models in terms of explicit statistical models. In this article we specify, implement, and evaluate a "fairness-aware" machine learning interface called themis-ml, which is intended for use by individual data scientists and engineers, academic research teams, or larger product teams who use machine learning in production systems.

关键词： application programming interface discrimination discovery fairness-aware machine learning social bias statistics

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The English Dialects App: The creation of a crowdsourced dialect corpus

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Ampersand 2018年 5卷 1-17页

作者： Leemann, Adrian Kolly, Marie-José Britain, David Department of Linguistics and English Language Lancaster University County South Lancaster LA1 4YL United Kingdom Phonetics Laboratory Department of Comparative Linguistics University of Zurich Plattenstrasse 54 Zürich 8032 Switzerland Department of English University of Bern Länggassstrasse 49 Bern 3012 Switzerland

In this paper, we present the English Dialects App (EDA) and the English Dialects App Corpus (EDAC). EDA is a free iOS and Android app, launched in January 2016 that features a dialect quiz and dialect recordings. For the quiz, users indicate which variants of 26 words they use and the application guesses their local dialect;for the recordings, users can record a short text. The result is EDAC which includes metadata on mobility, ethnicity, age, educational level, and gender. More than 47,000 users from across the UK have indicated dialect variants for these 26 words, and more than 3,500 users have provided audio recordings. Unavoidably, EDAC does not successfully reflect distributions of age, ethnicity, qualification levels, and other parameters found for the UK population given that smartphone-based research reaches a specific stratum of the population. Yet there are also clear benefits to the sampling strategy used – benefits and pitfalls are discussed in this article. Future analyses will provide the most comprehensive understanding of English regional dialect variation since the work of the traditional dialectologists. We showcase two such analyses in this article. EDAC should, we demonstrate, be of interest to researchers in dialectology but also in forensic phonetics. © 2017 The Authors

关键词： API application programming interface BKA German Federal Criminal Police Office BNC British National Corpus EDA English Dialects App EDAC English Dialects App Corpus FRED Freiburg English Dialect corpus ICE International Corpus of English NORMs non-mobile, older, rural, male speakers ONS Office for National Statistics SED Survey of English Dialects

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Automatically Answering API-Related Questions 18

Automatically Answering API-Related Questions

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40th ACM/IEEE International Conference on Software Engineering (ICSE)

作者： Wu, Di Jing, Xiao-Yuan Chen, Haowen Zhu, Xiaoke Zhang, Hongyu Zuo, Mei Zi, Lu Zhu, Chen Wuhan Univ Sch Comp State Key Lab Software Engn Wuhan Hubei Peoples R China Univ Newcastle Sch Elect Engn & Comp Newcastle NSW Australia

ISBN: (纸本)9781450356633

Automatically recommending API-related tutorial fragments or Q& A pairs from Stack Overflow (SO) is very helpful for developers, especially when they need to use unfamiliar APIs to complete programming tasks. However, in practice developers are more likely to express the API-related questions using natural language when they do not know the exact name of an unfamiliar API. In this paper, we propose an approach, called SOTU, to automatically find answers for API-related natural language questions (NLQs) from tutorials and SO. We first identify relevant API-related tutorial fragments and extract API-related Q& A pairs from SO. We then construct an API-Answer corpus by combining these two sources of information. For an API-related NLQ given by the developer, we parse it into several potential APIs and then retrieve potential answers from the API-Answer corpus. Finally, we return a list of potential results ranked by their relevancy. Experiments on API-Answer corpus demonstrate the effectiveness of SOTU.

关键词： application programming interface Natural Language Question Tutorials Stack Overflow

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Songle Sync: A Large-ScaleWeb-based Platform for Controlling Various Devices in Synchronization with Music 18

Songle Sync: A Large-ScaleWeb-based Platform for Controlling...

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26th ACM Multimedia Conference (MM)

作者： Kato, Jun Ogata, Masa Inoue, Takahiro Goto, Masataka Natl Inst Adv Ind Sci & Technol Tsukuba Ibaraki Japan

ISBN: (纸本)9781450356657

This paper presents Songle Sync, a web-based platform on which hundreds of Internet-connected devices-including smartphones, computers, and other physical computing devices-can be controlled to synchronize with music playback. It uses music-understanding technologies to dynamically synthesize music-driven multimedia performances from a musical piece of choice. To simultaneously control hundreds of devices, a conventional architecture keeps always-on connections between them. However, it does not scale and suffers from latency and jitter issues when there are various devices with potentially unstable networks. We address this with a novel autonomous control architecture in which each device is notified of forthcoming musical events (e.g., beats and chorus sections) to automatically drive various changes in multimedia performances. Moreover, we provide a development kit of an event-driven multimedia framework for JavaScript, example programs, and an interactive tutorial. To evaluate the platform, we compared latencies, jitters, and amounts of network traffic between ours and the conventional architecture. To examine use cases in the wild, we deployed the platform to drive over a hundred of a variety of devices. We also developed a web browser-based application for a multimedia performance with music playback. It provided audiences of hundreds with a bring-your-own-device experience of synchronized animations on smartphones. In addition, the development kit was used in a two-day hackathon. We report lessons learned from these studies and discuss the future of the Internet of Musical Things.

关键词： Internet of Musical Things music synchronization multimedia control application programming interface

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Towards ecosystem for research and development of electrodermal activity applications 18

Towards ecosystem for research and development of electroder...

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22nd International Academic Mindtrek Conference / Mindtrek Conference

作者： Jussila, Jari Venho, Niina Salonius, Henna Moilanen, Jarkko Liukkonen, Jari Rinnetmaki, Mikael Hame Univ Appl Sci Hameenlinna Finland Vigofere Oy Tampere Finland Minist Educ & Culture Helsinki Finland Finnpos Syst Oy Tampere Finland Sensotrend Oy Tampere Finland

ISBN: (纸本)9781450365895

Electrodermal activity is one of the most studied psychophysiological markers of the functioning of the autonomic nervous system and it has been applied in psychophysiological research for over 100 years. However, electrodermal activity measurement has not been largely applied in clinical research until now due to it being limited to laboratory environment before the entry of wearable devices. The aim of this study is to speed up research and development of electrodermal activity applications based on wearable device measurements. In order to reach that goal an ecosystem model is proposed that includes open data, open source, application programming interface and software development kit as central components. To illustrate the ecosystem model a case study of Moodmetric is presented.

关键词： Electrodermal activity galvanic skin response skin conductance wearables open data open source application programming interface ecosystem

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Watershed and Catchment Meshing Python Tool Utilizing the XmsMesh Meshing Software

Watershed and Catchment Meshing Python Tool Utilizing the Xm...

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作者： McKnight,C. J.,Loney,Drew,Winters,Kevin, ERDC Coastal and Hyraulic Laboratory Vicksburg United States

This Coastal and Hydraulics Engineering Technical Note describes the approach, methodology, and utilities of a Python code to flexibly create finite element meshes for a single catchment, multiple catchments, or an entire watershed. This tool was developed with the intent of model development for rapid responses with an emphasis on Adaptive Hydraulics 5.0 Diffusive Wave AdH-DW applications, though any numerical code that uses an unstructured mesh could be applied.

关键词： Drainage basins Python programming language Computer programs Mesh Finite element analysis Polygons application programming interface Ers xmsmesh meshing software Finite element meshes Adh-dw (adaptive hydraulics 5.0 diffusive wave) Ers (engineered resilient systems) Watershed shapefiles Catchments Overland flow modeling Api (application programming interface) Python api Stream alignment tools Hydro id Id (identification) Catchment polygons Roams (rapid operational access and maneuver support)

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SHADOW3 API: The application programming interface for the ray tracing code SHADOW

SHADOW3 API: The Application Programming Interface for the r...

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Conference on Advances in Computational Methods for X-Ray Optics II

作者： Canestrari, Niccolo Karkoulis, Dimitris del Rio, Manuel Sanchez European Synchrotron Radiat Facil F-38000 Grenoble France

ISBN: (纸本)9780819487513

We developed the third version of SHADOW, a ray tracing software widely used to design optical system in the synchrotron world. SHADOW3 is written in Fortran 2003 and follows the new computer engineering standards. The users can always execute the program in the traditional file oriented approach. Moreover, advanced users can create personalized scripts, macros and executables using the new application programming interface SHADOW3-API. It also allows binding of SHADOW3 with several popular programming languages such as C, C++, python and IDL. We describe the SHADOW3 API structure, and illustrate its use with some examples. We analyze the possibilities of running SHADOW3 in parallel machines under different environments. A version using the Open Message Parsing interface has been implemented. A SHADOW3 postprocessor has been accelerated with the use Graphics Processing Units. This will open new possibilities to extend the already very popular ray tracing tool to applications simulating 2D and 3D experiments (like imaging, tomography)

关键词： SHADOW3 application programming interface parallelization ray tracing X-ray optics GPU OpenMPI

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Trajectory design considerations for exploration mission 1

Trajectory design considerations for exploration mission 1

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Space Flight Mechanics Meeting, 2018

作者： Dawn, Timothy F. Gutkowski, Jeffrey P. Batcha, Amelia L. Pedrotty, Samuel M. Williams, Jacob NASA Johnson Space Center HoustonTX77058 United States JETS Engineering Department ERC Inc HoustonTX77058 United States

ISBN: (数字)9781624105333

ISBN: (纸本)9781624105333

This study examines and presents the evolving trade studies related to the Orion Exploration Mission 1, which will be the first mission to send an uncrewed Orion vehicle to cislunar space in the fall of 2019. Details of a new scan tool are also provided and how it is used to perform trajectory scans and to post-process the data that are useful to the different subsystems. © 2017, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Earth Perigee Propellant Trans Lunar Injection Orbital Maneuvering System Asteroid Redirect Mission application programming interface Landing Lights Flight Operation Johnson Space Center

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Hospital adoption of API-enabled patient data access

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HEALTHCARE-THE JOURNAL OF DELIVERY SCIENCE AND INNOVATION 2019年第4期7卷 100377-100377页

作者： Holmgren, A. Jay Apathy, Nate C. Harvard Sch Business 324A Cotting HouseSoldiers Field Rd Boston MA 02135 USA Indiana Univ Richard M Fairbanks Sch Publ Hlth Indianapolis IN 46204 USA

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