bluuebunny/crossref_metadata_2025_split huggingface dataset:
Psychometric Validation and Cultural Adaptation of the Simplified Chinese eHealth Literacy Scale: Cross-Sectional Study
Authors: Xu Richard Huan , Zhou Lingming , Lu Sabrina Yujun , Wong Eliza Laiyi , Chang Jinghui , Wang Dong 
Published: November 2020

Background
The rapid proliferation of web-based information on health and health care has profoundly changed individuals’ health-seeking behaviors, with individuals choosing the internet as their first source of information on their health conditions before seeking professional advice. However, barriers to the evaluation of people’s eHealth literacy present some difficulties for decision makers with respect to encouraging and empowering patients to use web-based resources.

Objective
This study aims to examine the psychometric properties of a simplified Chinese version of the eHealth Literacy Scale (SC-eHEALS).

Methods
Data used for analysis were obtained from a cross-sectional multicenter survey. Confirmatory factor analysis (CFA) was used to examine the structure of the SC-eHEALS. Correlations between the SC-eHEALS and ICEpop capability measure for adults (ICECAP-A) items and overall health status were estimated to assess the convergent validity. Internal consistency reliability was confirmed using Cronbach alpha (α), McDonald omega (ω), and split-half reliability (λ). A general partial credit model was used to perform the item response theory (IRT) analysis. Item difficulty, discrimination, and fit were reported. Item-category characteristic curves (ICCs) and item and test information curves were used to graphically assess the validity and reliability based on the IRT analysis. Differential item functioning (DIF) was used to check for possible item bias on gender and age.

Results
A total of 574 respondents from 5 cities in China completed the SC-eHEALS. CFA confirmed that the one-factor model was acceptable. The internal consistency reliability was good, with α=0.96, ω=0.92, and λ=0.96. The item-total correlation coefficients ranged between 0.86 and 0.91. Items 8 and 4 showed the lowest and highest mean scores, respectively. The correlation coefficients between the SC-eHEALS and ICECAP-A items and overall health status were significant, but the strength was mild. The discrimination of SC-eHEALS items ranged between 2.63 and 5.42. ICCs indicated that the order of categories’ thresholds for all items was as expected. In total, 70% of the information provided by SC-eHEALS was below the average level of the latent trait. DIF was found for item 6 on age.

Conclusions
The SC-eHEALS has been demonstrated to have good psychometric properties and can therefore be used to evaluate people’s eHealth literacy in China.
Implementation of an Interactive Voice Response System for Cancer Awareness in Uganda: Mixed Methods Study
Authors: Kabukye Johnblack K , Ilozumba Onaedo , Broerse Jacqueline E W , de Keizer Nicolette , Cornet Ronald 
Published: November 2020

Background
Cancer awareness is crucial for cancer care and prevention. However, cancer awareness in Uganda is low, and access to cancer information is limited.

Objective
This study aims to (1) understand the cancer awareness situation in Uganda (perceptions, beliefs, information needs, and challenges to accessing cancer information) and opinions about interactive voice response (IVR) systems; (2) develop cancer awareness messages and implement them in an IVR system; and (3) evaluate user acceptance and use of the IVR system.

Methods
A participatory design approach was adopted. To understand cancer awareness needs and challenges, 3 interviews and 7 focus group discussions (FGDs) were conducted with cancer health care providers, patients with cancer, caregivers and survivors, administrators, and lay citizens (n=73). On the basis of the resulting qualitative data, audio messages addressing cancer information needs were developed and implemented in an IVR system. The system and messages were tested with users (n=12) during 2 co-design workshops before final rollout. Finally, the system was evaluated over 6 months after going live, using call records and user feedback from telephone interviews with callers (n=40).

Results
The cancer information needs included general topics such as what cancer is, what causes it, cancer screening and diagnosis, cancer treatment, and practical information on what to expect during cancer care. There were also myths and misconceptions that need to be addressed, such as that cancer is due to witchcraft and has no treatment. Information on COVID-19 was also sought after following the outbreak. We developed 20 audio cancer messages (approximately 2 minutes each) in English and Luganda, along with 14 IVR navigation instructions. These were implemented in an IVR system with 24/7 availability from all over Uganda via a toll-free multi-channel telephone number. The total number of calls made to the IVR system 6 months after going live was 3820. Of these, 2437 (63.8%) lasted at least 30 seconds and were made from 1230 unique telephone numbers. There were 191 voice messages and 760 calls to live agents, most of which (681/951, 71.6%) were in Luganda. Call volumes peaked following advertisement of the system and lockdowns due to COVID-19. Participants were generally familiar with IVR technology, and caller feedback was largely positive. Cited benefits included convenience, toll-free access, and detailed information. Recommendations for improvement of the system included adding live agents and marketing of the system to target users.

Conclusions
IVR technology provides an acceptable and accessible method for providing cancer information to patients and the general public in Uganda. However, a need remains for health system reforms to provide additional cancer information sources and improve cancer care services in general.
Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review
Authors: Syeda Hafsa Bareen , Syed Mahanazuddin , Sexton Kevin Wayne , Syed Shorabuddin , Begum Salma , Syed Farhanuddin , Prior Fred , Yu Jr Feliciano 
Published: November 2020

Background
SARS-CoV-2, the novel coronavirus responsible for COVID-19, has caused havoc worldwide, with patients presenting a spectrum of complications that have pushed health care experts to explore new technological solutions and treatment plans. Artificial Intelligence (AI)–based technologies have played a substantial role in solving complex problems, and several organizations have been swift to adopt and customize these technologies in response to the challenges posed by the COVID-19 pandemic.

Objective
The objective of this study was to conduct a systematic review of the literature on the role of AI as a comprehensive and decisive technology to fight the COVID-19 crisis in the fields of epidemiology, diagnosis, and disease progression.

Methods
A systematic search of PubMed, Web of Science, and CINAHL databases was performed according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines to identify all potentially relevant studies published and made available online between December 1, 2019, and June 27, 2020. The search syntax was built using keywords specific to COVID-19 and AI.

Results
The search strategy resulted in 419 articles published and made available online during the aforementioned period. Of these, 130 publications were selected for further analyses. These publications were classified into 3 themes based on AI applications employed to combat the COVID-19 crisis: Computational Epidemiology, Early Detection and Diagnosis, and Disease Progression. Of the 130 studies, 71 (54.6%) focused on predicting the COVID-19 outbreak, the impact of containment policies, and potential drug discoveries, which were classified under the Computational Epidemiology theme. Next, 40 of 130 (30.8%) studies that applied AI techniques to detect COVID-19 by using patients’ radiological images or laboratory test results were classified under the Early Detection and Diagnosis theme. Finally, 19 of the 130 studies (14.6%) that focused on predicting disease progression, outcomes (ie, recovery and mortality), length of hospital stay, and number of days spent in the intensive care unit for patients with COVID-19 were classified under the Disease Progression theme.

Conclusions
In this systematic review, we assembled studies in the current COVID-19 literature that utilized AI-based methods to provide insights into different COVID-19 themes. Our findings highlight important variables, data types, and available COVID-19 resources that can assist in facilitating clinical and translational research.
Shooting Simulator “Inhibitor”: Firmware Weapon Simulators
Authors: Egorov S. F. , Petukhov K. Yu. 
Published: November 2020

Описывается программное обеспечение взаимодействия с имитаторами оружия тактического тренажера оптико-электронного для стрелкового оружия «Ингибитор», разработанного в Институте механики УдмФИЦ УрО РАН и на кафедре «Вычислительная техника» ИжГТУ имени М. Т. Калашникова совместно с АО «Концерн «Калашников».Приводится тактико-техническое задание на функциональные возможности имитаторов оружия с поддержкой 50 % отдачи и 60 % уровня звука, необходимо отслеживать установки как механических прицелов, так и оптических и ночных для соответствующих образцов. Встроенное программное обеспечение контроллера имитатора оружия должно гарантировать работу механизмов в реальном масштабе времени при отработке отдачи и обеспечивать синхронизацию импульсного лазерного излучателя определителя точки прицеливания. Показания датчиков магазина, курка, скорости спускового крючка, предохранителя, прицелов, отвеса, свала, прижима к плечу необходимо передавать в программу тренажера для контроля параметров стрельбы и расчета баллистики, а также для фиксации ошибок обучаемого при обращении с оружием. Для обмена информацией разработан формат данных и встроенное программное обеспечение микшера, что гарантирует необходимый отклик и актуальность показаний.Сделан вывод о перспективности дальнейших исследований и разработке электронных стрелковых тренажеров благодаря совершенствованию и удешевлению элементной базы и развитию программных библиотек с целью повышения точности тренажеров, расширения функциональных возможностей и снижения себестоимости и, значит, повышения конкурентоспособности.
Creating an Authentic International Development Learning Opportunity
Authors: Beckstead Lori 
Published: November 2020

This paper draws from the author’s experience of developing a short-term intensive international learning experience within the framework of a one-semester course. The paper is aimed at faculty members who are interested in implementing a short but effective and authentic international learning opportunity, but who may not have expertise in issues surrounding international development and learning abroad. It addresses some of the challenges, successes, and lessons learned, such as working with an appropriate international partner, overcoming barriers to student participation, ensuring discipline-specific learning, and providing the appropriate context of international development issues within the time-frame of a single semester.

Nous nous fondons ici sur notre propre expérience d’élaboration d’une situation d’apprentissage internationale, intensive et à court terme, dans le cadre d’un cours d’un seul semestre. Cet article est destiné aux enseignants qui, sans nécessairement posséder une expertise en matière de développement internationale et d’apprentissage à l’étranger, souhaiteraient mettre en œuvre une expérience d’apprentissage internationale aussi brève qu’efficace et authentique. Nous abordons les difficultés, les réussites et les leçons tirées de l’expérience, comme la nécessité d’un partenaire international adéquat, le dépassement des obstacles à la participation des étudiants, l’apprentissage adapté à des disciplines en particulier, et l’établissement d’un contexte approprié pour les questions de développement international dans le cadre temporel d’un semestre unique.
Using Knowledge Mobilization to Promote Student Engagement in Health Promotion on Canadian Campuses
Authors: De Moissac Danielle , Waddell Candice , Smith Nadine , Rocque Rhéa 
Published: November 2020

With the increased incidence of poor mental health in young adults, health promotion strategies are needed on campuses. World Cafés were held to facilitate discussion around three main topics: thoughts about findings emerging from a recent health survey; resources currently available on campus; and strategies or resources needed to improve student well-being. Participants readily provided insight into mental health concerns among students, and their recommendations focused primarily on creating a culture of well-being in the university, with more professional support services and greater health promotion. Overall, the World Café approach provided an effective method to engage students and discuss possible strategies to promote better mental health on campus.

Étant donné l’augmentation des problèmes de santé mentale chez les jeunes adultes, il faut adopter des stratégies de promotion de la santé à l’université. Des conversations de type Café du monde – World Café – ont eu lieu autour de trois sujets : 1) des réflexions autour des résultats provenant d’un sondage récent pourtant sur la santé; 2) les ressources qui sont actuellement offertes à l’université; 3) les stratégies et les ressources nécessaires à l’amélioration du bien-être des étudiants. Les participants n’ont pas hésité à témoigner des enjeux de santé mentale dans la communauté étudiante. Leurs recommandations ont convergé principalement vers la création d’une culture du bien-être à l’université, ce qui suppose un accroissement des services d’aide professionnelle et de la promotion de la santé. Dans l’ensemble, la méthode de type Café du monde a permis de faire participer les étudiants et de discuter des stratégies potentielles pour la promotion de la santé mentale à l’université.
A collaborative approach to developing transferable teaching skills among student workshop facilitators
Authors: Ismail Elizabeth , Chittle Laura 
Published: November 2020

The teaching assistant program at the University of Windsor facilitates opportunities for students to develop leadership capacity, creativity, and pedagogical knowledge. This study explored the skills that student workshop facilitators were developing and/or enhancing, and how these skills might be used outside of teaching-related duties. Data from former student workshop facilitators were collected through an online survey (n = 15) and semi-structured interviews (n = 6). The results indicated that participants developed a range of teaching-related skills through leading teaching and learning workshops. The knowledge and skills facilitators garnered often resulted in them being perceived as teaching and learning leaders amongst their peers. Further, participants emphasized that leading workshops provided a unique opportunity to practice, increased their confidence, and led them to apply their skills in academic and non-academic endeavours.

Le programme d’assistanat d’enseignement de l’Université de Windsor aide les étudiants à acquérir des compétences en matière de leadership, de créativité et de connaissances pédagogiques. Dans notre étude, nous nous penchons sur les compétences que les étudiants animateurs d’ateliers ont assimilées ou affinées et nous nous demandons comment ces acquis peuvent être transposés à d’autres tâches en dehors de l’enseignement. Au moyen d’un sondage en ligne (n = 15) et d’entrevues semi-structurées (n = 6), nous avons recueilli les données provenant d’étudiants ayant animé des ateliers. Les résultats indiquent que les répondants ont développé diverses compétences liées à l’enseignement en animant des ateliers portant sur l’apprentissage et sur l’enseignement. Grâce aux connaissances et aux compétences acquises, les animateurs étaient souvent considérés par leurs pairs comme des leaders en matière d’apprentissage et d’enseignement. De plus, les répondants ont souligné le fait que l’animation d’atelier leur avait donné l’occasion d’exercer leur pratique, de gagner en confiance et d’appliquer leurs compétences en contexte universitaire et non universitaire.
Team Based Learning
Authors: Manion Kathleen , Shah-Preusser Nooreen , Dyck Trish , Thackeray Susan , Palahicky Sophia 
Published: November 2020

Learning in teams offers unique benefits to understand and address contemporary, global, and local challenges through effective and thoughtful learning journeys. However, learning in teams is not always thoroughly planned or effectively delivered. In trying to better understand what processes support or hinder effective and innovative learning in teams, a group of researchers and practitioners explored what works and what needs to be improved in the context of one Canadian university. This article highlights the key findings from this study and offers readers strategies to support effective, innovative, and collaborative learning in teams.

L’apprentissage en équipe, effectué au moyen de parcours efficaces et bien pensés, est tout particulièrement utile pour trouver des solutions aux problèmes actuels à l’échelle mondiale et locale. Toutefois, ce type d’apprentissage présente parfois des lacunes en matière de préparation et d’exécution. Dans le contexte d’une université canadienne, une équipe de chercheurs et de praticiens ont œuvré à faire la part entre ce qui fonctionne et ce qui ne fonctionne pas, de manière à savoir quels processus sont efficaces – ou non – pour obtenir un apprentissage en équipe efficace et novateur. Dans notre article, nous présentons donc les principaux résultats de cette étude et nous proposons des stratégies pour un apprentissage en équipe efficace, novateur et collaboratif.
Mapping the Vulnerability to Flooding of Community-Development Corporations (CDCs) Affordable Housing Properties in Central and East Harlem, New York City
Authors: Olivotto Veronica , Almonte Eddy 
Published: November 2020

New York City’s affordable housing stock is vulnerable to coastal
flooding under current and projected climate scenarios. Flood
vulnerability in this study, was intended as a factor of the exposure of
affordable housing units to current and future floodplains as well as
topographical elevation. Variables of socio-economic vulnerability
included median household income by census tract, expiring affordability
of rent-subsidized housing, and East Harlem’s most recent rezoning . The
affordable housing in question is owned by two community-development
corporations (CDCs) of the Northern Manhattan Collaborative (NMC), Hope
and Ascendant based in East Harlem. Using GIS software and publicly
available data from NYC Open Data and Mapluto, large scale mapping was
conducted at the Borough-Block-Lot (BBL) scale to understand the
exposure to coastal flooding of 101 properties owned by Hope and
Ascendant, as well as a Hotspot Analysis of all the remaining units
included in the NMC (48 more properties). Results show that Hope
properties may flood more than Ascendants’, under both current and
future floodplain projections. A contributing factor is topographical
elevation, where Hope Properties are at lower median elevation (13.2
feet) than Ascendants’ (29 feet) and also lower than the median
elevation of both Central (22 feet) and East Harlem (15 feet). Results
from the hotspot analysis shows that 20 of Hope Properties fall within
Hot clusters of socioeconomic vulnerability, as well as 5 of Ascendant
Properties. Overall the NMC Properties show a higher socioeconomic
vulnerability than all the properties in East Harlem. This result is
important considering that New York City’s stock of affordable housing
hosts some of the most vulnerable populations in the city, with less
ability to move elsewhere before or after a flooding event.
KAT Insurance: Data Analytics Cases for Introductory Accounting Using Excel, Power BI, and/or Tableau
Authors: Cainas Jennifer M. , Tietz Wendy M. , Miller-Nobles Tracie 
Published: November 2020

ABSTRACT
KAT Insurance Corporation (KAT) presents two independent data analytics cases for introductory financial and managerial accounting courses, using four datasets based on anonymized real-life data (over 65,000 sales records from a national insurance company). The cases introduce students to data cleansing, data dictionaries, and data visualization topics through analysis of sales and/or cost records. The cases use Excel, Power BI, and/or Tableau for students to learn different emerging technologies and develop students' technological agility, addressing the AACSB's Accounting Accreditation Standard 5 and AICPA Accounting Competencies. Over 2,700 students have successfully completed at least one of the cases, and few students had any prior experience with Power BI and/or Tableau. Students surveyed felt their skills improved as a result of the projects, which highlights the relevance and need for this instructional resource that is designed with both accounting instructors and students in mind.
Severe Hypoglycemia, Cardiac Structure and Function, and Risk of Cardiovascular Events Among Older Adults With Diabetes
Authors: Echouffo-Tcheugui Justin B. , Daya Natalie , Lee Alexandra K. , Tang Olive , Ndumele Chiadi E. , Windham B. Gwen , Shah Amil M. , Selvin Elizabeth 
Published: November 2020

OBJECTIVE
To assess the association of severe hypoglycemia measured at baseline with cardiovascular disease (CVD) among community-dwelling older individuals with diabetes, a group particularly susceptible to hypoglycemia.

RESEARCH DESIGN AND METHODS
We included older adults with diabetes from the Atherosclerosis Risk in Communities (ARIC) study who attended visit 5 (2011–2013, baseline). Severe hypoglycemia at baseline was defined with use of first position ICD-9 codes from hospitalizations, emergency department visits, and ambulance calls. We examined cross-sectional associations of severe hypoglycemia with echocardiographic indices of cardiac structure-function. We prospectively evaluated the risks of incident or recurrent CVD (coronary heart disease, stroke, or heart failure) and all-cause mortality, from baseline to 31 December 2018, using negative binomial and Cox regression models.

RESULTS
Among 2,193 participants (mean [SD] age 76 [5] years, 57% female, 32% Blacks), 79 had a history of severe hypoglycemia at baseline. Severe hypoglycemia was associated with a lower left ventricular (LV) ejection fraction (adjusted β-coefficient −3.66% [95% CI −5.54, −1.78]), higher LV end diastolic volume (14.80 mL [95% CI 8.77, 20.84]), higher E-to-A ratio (0.11 [95% CI 0.03, 0.18]), and higher septal E/e′ (2.48 [95% CI 1.13, 3.82]). In adjusted models, severe hypoglycemia was associated with incident or recurrent CVD (incidence rate ratio 2.19 (95% CI 1.24, 3.88]) and all-cause mortality (hazard ratio 1.71 [95% CI 1.10, 2.67]) among those without prevalent CVD.

CONCLUSIONS
Our findings suggest that a history of severe hypoglycemia is associated with alterations in cardiac function and is an important marker of future cardiovascular risk in older adults.