scholarly journals Viewpoint-Invariant Exercise Repetition Counting

2021 ◽  
Author(s):  
Yu Cheng Hsu ◽  
Tsougenis Efstratios ◽  
Kwok-Leung Tsui ◽  
Qingpeng Zhang
Keyword(s):  
Exercise Training ◽  
Large Scale ◽  
Absolute Error ◽  
Physical Rehabilitation ◽  
Data Set ◽  
The Public ◽  
Common Task ◽  
Public Datasets ◽  
The University ◽  
University Of Idaho

Abstract Background Counting the repetition of human exercise and physical rehabilitation is a common task in rehabilitation and exercise training. The existing vision-based repetition counting methods less emphasize the concurrent motions in the same video. Methods This work analyzed the spectrogram of the pose estimation result to count the repetition. Besides from the public datasets. This work also collected exercise videos from 11 adults to verify the proposed method is capable for handling concurrent motion and different view angles. Results The presented method was validated on the University of Idaho Physical Rehabilitation Movements Data Set (UI-PRMD) and MM-fit dataset. The overall mean absolute error (MAE) for MM-fit was 0.06 with off-by-one Accuracy (OBOA) 0.94. As for UI-PRMD dataset, MAE was 0.06 with OBOA 0.95. We have also tested the performance in a variety of camera locations and concurrent motions with 57 skeleton time-series video with overall MAE 0.07 and OBOA 0.91. Conclusion The proposed method provides a view-angle and motion agnostic concurrent motion counting. This method can potentially use in large-scale remote rehabilitation and exercise training with only one camera.

scholarly journals JUSTFAIR: Judicial System Transparency through Federal Archive Inferred Records

2020 ◽  
Author(s):  
Maria-Veronica Ciocanel ◽  
Chad M. Topaz ◽  
Rebecca Santorella ◽  
Shilad Sen ◽  
Christian Michael Smith ◽  
...  
Keyword(s):  
Large Scale ◽  
Federal District ◽  
The United States ◽  
Judicial System ◽  
Public Access ◽  
Data Set ◽  
Scale Free ◽  
The Public ◽  
Sentencing Decisions ◽  
Constitutional Right

In the Unites States, the public has a constitutional right to access criminal trial proceedings. In practice, it can be difficult or impossible for the public to exercise this right. We present JUSTFAIR: Judicial System Transparency through Federal Archive Inferred Records, a database of criminal sentencing decisions made in federal district courts. We have compiled this data set from public sources including the United States Sentencing Commission, the Federal Judicial Center, the Public Access to Court Electronic Records system, and Wikipedia. With nearly 600,000 records from the years 2001 - 2018, JUSTFAIR is the first large scale, free, public database that links information about defendants and their demographic characteristics with information about their federal crimes, their sentences, and, crucially, the identity of the sentencing judge.

Language students and their technologies: Charting the evolution 2006–2011

ReCALL ◽  
2013 ◽  
Vol 25 (3) ◽  
pp. 306-320 ◽  
Author(s):  
Caroline H Steel ◽  
Mike Levy
Keyword(s):  
Language Learning ◽  
Language Learners ◽  
Large Scale ◽  
Learning Experience ◽  
Data Set ◽  
Online Tools ◽  
Language Students ◽  
The Uk ◽  
The University ◽  
Compare And Contrast

AbstractThis paper has two key objectives. Firstly, it seeks to record the technologies in current use by learners of a range of languages at an Australian university in 2011. Data was collected via a large-scale survey of 587 foreign language students across ten languages at The University of Queensland, Brisbane, Australia. Notably the data differentiates between those technologies that students used inside and outside of formal classrooms as well as recording particular technologies and applications that students perceived as beneficial to their language learning. Secondly, this study aims to compare and contrast its findings with those from two previous studies that collected data on students’ use of technologies five years earlier, in 2006, in the UK and Canada. The intention is to chart major developments and changes that have occurred during the intervening five-year period, between 2006 and 2011. The data reported in two studies, one by Conole (2008) and one by Peters, Weinberg and Sarma (2008) are used as points of reference for the comparison with the present study.The findings of the current study point to the autonomy and independence of the language learners in this cohort and the re-emergence of CALL tools, both for in-class and out-of-class learning activities. According to this data set, learners appear to have become more autonomous and independent and much more able to shape and resource their personal language learning experience in a blended learning setting. The students also demonstrate a measure of sophistication in their use of online tools, such that they are able to work around known limitations and constraints. In other words, the students have a keen awareness of the affordances of the technologies they are using.

scholarly journals Revolutionary Reading, Evolutionary Toolmaking: (Re)development of Scholarly Reading and Annotation Tools in Response to an Ever Changing Scholarly Climate

2012 ◽  
Vol 3 (2) ◽  
Author(s):  
James B. MacGregor ◽  
Michael Joyce ◽  
Brett Hirsch ◽  
Cara Leitch ◽  
Ray Siemens ◽  
...  
Keyword(s):  
Social Networking ◽  
Large Scale ◽  
Web Applications ◽  
Contextual Information ◽  
Humanities Computing ◽  
The Public ◽  
Annotation System ◽  
University Of British Columbia ◽  
Starting Point ◽  
The University

As the online scholarly landscape changes, so too must the tools used to traverse it.  The Public Knowledge Project (PKP) Reading Tools provides readers a bridge from online scholarly content to a host of contextual information, to a number of discipline-specific search engines and databases, and to other tools. A lot has changed since it was originally released, such as the rise of Google Scholar as the de facto starting point for many novice (and not-so novice) researchers; the blurring line between desktop and web applications; and the increased professional use of social networking tools and websites. Recently, the University of Victoria's Electronic Textual Cultures Lab (ETCL), in cooperation with the PKP, undertook a study to determine the role and value of the existing Reading Tools, particularly in the context of Humanities Computing. The ETCL has also developed a prototype Professional Reading Environment which has been the basis for substantial analysis. Rick Kopak and Chia-Ning Chiang at the University of British Columbia (UBC) have undertaken a broad survey of the online annotation landscape, and have written a proposal for developing an annotation system for PKP software. This paper discusses how, using this research as a base and in cooperation with UBC and the PKP, the ETCL has begun a large-scale redevelopment of the PKP Reading Tools, extending the current toolset to include new social networking and research tools, as well as a robust personal annotation system, making social annotation possible between small groups and the public.

scholarly journals COVID-19 Vaccine–Related Discussion on Twitter: Topic Modeling and Sentiment Analysis (Preprint)

2021 ◽  
Author(s):  
Joanne Chen Lyu ◽  
Eileen Le Han ◽  
Garving K Luli
Keyword(s):  
Social Media ◽  
Topic Modeling ◽  
Large Scale ◽  
National Research Council ◽  
Global Perspective ◽  
World Health ◽  
Data Set ◽  
Emotion Analysis ◽  
The Public ◽  
The World

BACKGROUND Vaccination is a cornerstone of the prevention of communicable infectious diseases; however, vaccines have traditionally met with public fear and hesitancy, and COVID-19 vaccines are no exception. Social media use has been demonstrated to play a role in the low acceptance of vaccines. OBJECTIVE The aim of this study is to identify the topics and sentiments in the public COVID-19 vaccine–related discussion on social media and discern the salient changes in topics and sentiments over time to better understand the public perceptions, concerns, and emotions that may influence the achievement of herd immunity goals. METHODS Tweets were downloaded from a large-scale COVID-19 Twitter chatter data set from March 11, 2020, the day the World Health Organization declared COVID-19 a pandemic, to January 31, 2021. We used R software to clean the tweets and retain tweets that contained the keywords <i>vaccination</i>, <i>vaccinations</i>, <i>vaccine</i>, <i>vaccines</i>, <i>immunization</i>, <i>vaccinate</i>, and <i>vaccinated</i>. The final data set included in the analysis consisted of 1,499,421 unique tweets from 583,499 different users. We used R to perform latent Dirichlet allocation for topic modeling as well as sentiment and emotion analysis using the National Research Council of Canada Emotion Lexicon. RESULTS Topic modeling of tweets related to COVID-19 vaccines yielded 16 topics, which were grouped into 5 overarching themes. Opinions about vaccination (227,840/1,499,421 tweets, 15.2%) was the most tweeted topic and remained a highly discussed topic during the majority of the period of our examination. Vaccine progress around the world became the most discussed topic around August 11, 2020, when Russia approved the world’s first COVID-19 vaccine. With the advancement of vaccine administration, the topic of instruction on getting vaccines gradually became more salient and became the most discussed topic after the first week of January 2021. Weekly mean sentiment scores showed that despite fluctuations, the sentiment was increasingly positive in general. Emotion analysis further showed that trust was the most predominant emotion, followed by anticipation, fear, sadness, etc. The trust emotion reached its peak on November 9, 2020, when Pfizer announced that its vaccine is 90% effective. CONCLUSIONS Public COVID-19 vaccine–related discussion on Twitter was largely driven by major events about COVID-19 vaccines and mirrored the active news topics in mainstream media. The discussion also demonstrated a global perspective. The increasingly positive sentiment around COVID-19 vaccines and the dominant emotion of trust shown in the social media discussion may imply higher acceptance of COVID-19 vaccines compared with previous vaccines.

Cirencester 1965

1966 ◽  
Vol 46 (2) ◽  
pp. 240-254 ◽  
Author(s):  
P. D. C. Brown ◽  
Alan D. McWhirr ◽  
C. A. Ralegh Radford
Keyword(s):  
Large Scale ◽  
Financial Problems ◽  
Historical Society ◽  
Public Building ◽  
The Public ◽  
University Of Oxford ◽  
Large Numbers ◽  
Site Supervisors ◽  
The University

The 1965 season's excavation at Cirencester was carried out on behalf of the Cirencester Excavation Committee from 12th July to 21st August, with a further extension until 18th September, in order to complete the work begun on the Saxon church. Grants towards the work were received from the Society of Antiquaries of London, Ministry of Public Building and Works, Bristol and Gloucestershire Archaeological Society, Cirencester Archaeological and Historical Society, and the Haverfield Trust of the University of Oxford, to all of which bodies the committee extends its thanks. Approximately £4,000 was expended during the excavation. Some 200 people took part and, with such large numbers, much depended on the site supervisors without whose experience work on such a large scale would not have been possible. We were relieved of all administrative and financial problems by the unfailing support of Mr. W. A. Blythe, to whom the committee is much indebted for his services. Thanks must also go to the Cirencester Archaeological and Historical Society for much help, and for providing guides throughout the excavation. Donations by the public and purchases from the site stall totalled £250.

Central Avenue Legacies: African American Heritage in Tampa, Florida

1998 ◽  
Vol 20 (1) ◽  
pp. 2-5 ◽  
Author(s):  
Susan Greenbaum
Keyword(s):  
African American ◽  
Large Scale ◽  
Urban Redevelopment ◽  
South Florida ◽  
African American Community ◽  
Community Life ◽  
The Public ◽  
American Heritage ◽  
The University ◽  
Central Avenue

The articles in this issue derive from a public heritage project initiated by Anthropology faculty and students at the University of South Florida. It was designed to salvage memories of the Central Avenue business and entertainment district, previously located on the edge of downtown Tampa, Florida. Central Avenue was eradicated in the mid 1970s as part of a large scale urban redevelopment project. For generations this area nurtured African American community life in Tampa. Twenty years after its destruction, in a city where the vast majority the population was born elsewhere, or were not born at all when redevelopment occurred, there are few citizens who knew anything about Central Avenue. Our goal was to resurrect this ghostly landscape, to make it part of the public heritage of Tampa, and to underscore its importance in the ongoing discourse about race relations and the historical contributions of African Americans.

scholarly journals Sýn Íslendinga á utanríkis- og öryggismál

2018 ◽  
Vol 14 (2) ◽  
pp. 1-18
Author(s):  
Silja Bára Ómarsdóttir
Keyword(s):  
Security Policy ◽  
Large Scale ◽  
Social Science Research ◽  
Science Research ◽  
Foreign Affairs ◽  
Military Conflict ◽  
The Public ◽  
The Social ◽  
The Cold War ◽  
The University

Icelanders’ views on security and foreign affairs since the end of the Cold War are an understudied issue. This article presents the findings of a large scale survey on the position and ideas about foreign affairs and security. The survey was conducted by the Social Science Research Institute of the University of Iceland in November and December 2016. The results of the survey are placed in the context of developments in security studies, with an emphasis on security sectors, ontological security, and securitization. The main findings are that the Icelandic public believes that its security is most threatened by economic and financial instability, as well as natural hazards, but thinks there is a very limited chance of military conflict or terrorist attacks directly affecting the country. These findings are incongruent with the main emphases of Icelandic authorities, as they appear in security policy and political discourse. It is therefore important that the authorities understand how to engage with the public about the criteria upon which risk assessments and security policies are based.

A Method for Analyzing Newspaper Campaign Coverage

1954 ◽  
Vol 31 (4) ◽  
pp. 447-458 ◽  
Author(s):  
Granville Price
Keyword(s):  
Pilot Study ◽  
Large Scale ◽  
Scale Analysis ◽  
Large Scale Analysis ◽  
Campaign Coverage ◽  
The University ◽  
Election News ◽  
University Of Idaho

The new chairman for courses in journalism at the University of Idaho reports on a plan for measuring the intensity of a paper's political leanings in several areas of news performance. Done as research for his Ph.D. thesis at Missouri, Dr. Price's work is a pilot study for a large-scale analysis of election news.

scholarly journals Formidling fra felt i den digitale tidsalder

2020 ◽  
pp. 95-108
Author(s):  
Leif-Inge Åstveit
Keyword(s):  
Large Scale ◽  
Public Outreach ◽  
Stone Age ◽  
The Public ◽  
Archaeological Practice ◽  
Western Norway ◽  
Spare Time ◽  
New Research ◽  
The University ◽  
Archaeological Excavations

Most archaeologists agree that public outreach is an important part of archaeological practice. Communication of fresh results from excavations and new research creates both legitimacy and greater understanding of our activities. In Norway, large scale archaeological excavations are often funded by the public sector, and public outreach is considered an important way of giving something back to society. Still, reaching out to the public is often downgraded during stressful fieldwork and considered as something you do when (or if) you have some spare time. This is unfortunate, because fieldwork is what most people associate with archaeology and has a huge potential when it comes to public outreach. In 2017-2019 the University of Bergen carried out a large excavation project, Sotrasambandet. While excavating 12 sites, we wanted to reach the public as well, to present fresh findings, introduce them to our methods, tell stories from the excavation and of course of what Stone Age life in Western Norway could have been like. In total, we produced 56 films and several different texts, and used social media as well as “open day” (evt. public day?), talks and small exhibitions to reach people. The films got great feedback, and were appreciated by schoolchildren, politicians and journalists alike.

scholarly journals Recommender Systems in Light of Big Data

2015 ◽  
Vol 5 (6) ◽  
pp. 1553 ◽  
Author(s):  
Khadija A. Almohsen ◽  
Huda Al-Jobori
Keyword(s):  
Big Data ◽  
Large Scale ◽  
Absolute Error ◽  
Web Content ◽  
Distributed Environment ◽  
Data Set ◽  
Existing Problems ◽  
Current State ◽  
Value Decomposition ◽  
The Web

The growth in the usage of the web, especially e-commerce website, has led to the development of recommender system (RS) which aims in personalizing the web content for each user and reducing the cognitive load of information on the user. However, as the world enters Big Data era and lives through the contemporary data explosion, the main goal of a RS becomes to provide millions of high quality recommendations in few seconds for the increasing number of users and items. One of the successful techniques of RSs is collaborative filtering (CF) which makes recommendations for users based on what other like-mind users had preferred. Despite its success, CF is facing some challenges posed by Big Data, such as: scalability, sparsity and cold start. As a consequence, new approaches of CF that overcome the existing problems have been studied such as Singular value decomposition (SVD). This paper surveys the literature of RSs and reviews the current state of RSs with the main concerns surrounding them due to Big Data. Furthermore, it investigates thoroughly SVD, one of the promising approaches expected to perform well in tackling Big Data challenges, and provides an implementation to it using some of the successful Big Data tools (i.e. Apache Hadoop and Spark). This implementation is intended to validate the applicability of, existing contributions to the field of, SVD-based RSs as well as validated the effectiveness of Hadoop and spark in developing large-scale systems. The implementation has been evaluated empirically by measuring mean absolute error which gave comparable results with other experiments conducted, previously by other researchers, on a relatively smaller data set and non-distributed environment. This proved the scalability of SVD-based RS and its applicability to Big Data.

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