Video Library Research Articles

Increasing support for economic freedom: responses in a representative sample of US adults

AbstractThe relationship between economic freedom and improvements in social and economic outcomes is well-documented. Yet, increasing support for government control of voluntary exchange has arisen in the US and many other countries. The present study analyzed whether videos describing human flourishing would influence support for economic freedom. In Study 1, a ‘‘brain as predictor’’ approach measured the neurologic responses of participants (N = 64) to a library of videos in order identify the videos most likely to influence people's attitudes. Study 2 then sent two videos to a representative sample of US adults (N = 1212) and assessed support for economic freedom compared to a no-video control group. The analysis first identified demographic categories that had statistically low support for economic freedom (Californians, those with low incomes, Democrats, young adults, individuals without a college education, people receiving substantial government support, and women) as targets for influence. Two different videos increased support for economic freedom between 5 and 10% among Californians and among those receiving government aid. A feature importance analysis was used to rank the demographic factors affecting support for economic freedom, identifying those receiving government aid as the group for whom future messaging would have the largest impact.

Efficacy of a Multimodal Digital Behavior Change Intervention on Lifestyle Behavior, Cardiometabolic Biomarkers, and Medical Expenditure: Protocol for a Randomized Controlled Trial.

The US Preventive Services Task Force recommends providers offer individualized healthy behavior interventions for all adults, independent of their risk of cardiovascular disease. While strong evidence exists to support disease-specific programs designed to improve multiple lifestyle behaviors, approaches to adapting these interventions for a broader population are not well established. Digital behavior change interventions (DBCIs) hold promise as a more generalizable and scalable approach to overcome the resource and time limitations that traditional behavioral intervention programs face, especially within an occupational setting. We aimed to evaluate the efficacy of a multimodal DBCI on (1) self-reported behaviors of physical activity, nutrition, sleep, and mindfulness; (2) cardiometabolic biomarkers; and (3) chronic disease-related medical expenditure. We conducted a 2-arm randomized controlled trial for 12 months among employees of an academic health care facility in the United States. The intervention arm received a scale, a smartphone app, an activity tracker, a video library for healthy behavior recommendations, and an on-demand health coach. The control arm received standard employer-provided health and wellness benefits. The primary outcomes of the study included changes in self-reported lifestyle behaviors, cardiometabolic biomarkers, and chronic disease-related medical expenditure. We collected health behavior data via baseline and quarterly web-based surveys, biometric measures via clinic visits at baseline and 12 months, and identified relevant costs through claims datasets. A total of 603 participants were enrolled and randomized to the intervention (n=300, 49.8%) and control arms (n=303, 50.2%). The average age was 46.7 (SD 11.2) years, and the majority of participants were female (80.3%, n=484), White (85.4%, n=504), and non-Hispanic (90.7%, n=547), with no systematic differences in baseline characteristics observed between the study arms. We observed retention rates of 86.1% (n=519) for completing the final survey and 77.9% (n=490) for attending the exit visit. This study represents the largest and most comprehensive evaluation of DBCIs among participants who were not selected based on their underlying condition to assess its impact on behavior, cardiometabolic biomarkers, and medical expenditure. ClinicalTrials.gov NCT04712383; https://clinicaltrials.gov/study/NCT04712383. RR1-10.2196/50378.

A Tailored Postpartum eHealth Physical Activity Intervention for Individuals at High Risk of Postpartum Depression-the POstpartum Wellness Study (POW): Protocol and Data Overview for a Randomized Controlled Trial.

Postpartum depression (PPD) is associated with significant health consequences for the parent and child. Current recommendations for PPD prevention require intense health care system resources. Evidence-based interventions for PPD prevention that do not further burden the health care system are needed. Evidence suggests that physical activity (PA) can generally reduce depressive symptoms. Technology-based interventions may help decrease common barriers to PA. This study aims to report the protocol and provide a data overview of the POstpartum Wellness study (POW)-an effectiveness trial evaluating whether an eHealth PA intervention tailored for postpartum individuals increased PA and decreased depressive symptoms among individuals at high PPD risk. This remote parallel-group randomized controlled trial included postpartum individuals with a history of depression or at least moderate current depressive symptoms not meeting the PPD diagnostic threshold and with low PA levels from an integrated health care delivery system. Participants were randomized to an eHealth PA intervention or usual care. The intervention group received access to a library of web-based workout videos designed for postpartum individuals, which included interaction with their infants. At baseline and follow-up (3 and 6 months), PA was measured using questionnaires and a wrist-worn accelerometer. Depressive symptoms were measured using the Patient Health Questionnaire-8 (PHQ-8). Data were collected to assess exploratory outcomes of sleep, perceived stress, anxiety, parent-infant bonding, and infant development. The study was funded in January 2020. Participants were enrolled via REDCap (Research Electronic Data Capture) or telephonically between November 2020 and September 2022; data collection ended in April 2023. Randomized participants (N=99) were 4 months post partum at baseline with moderately severe depressive symptoms (mean PHQ-8 score 12.6, SD 2.2). Intervention (n=50) and usual care (n=49) groups had similar sociodemographic characteristics, months post partum, baseline depressive symptoms, number of children at home, and prepregnancy PA levels. Retention in assessments was ≥66% for questionnaires and ≥48% for accelerometry, with modest differences by group. At 3-month follow-up, 73 of 99 (74%) participants (intervention: 35/50, 70%; usual care: 38/49, 78%) completed questionnaires; 53 of 99 (54%) wore the accelerometer for 7 days (27 of 50 (54%) intervention, 26 of 49 (53%) usual care). At 6-month follow-up, 66 of 99 (67%) participants (30 of 50 (60%) intervention, 36 of 49 (73%) usual care) completed questionnaires and 43 of 99 (43%) wore the accelerometer for 7 days (21 of 50 (42%) intervention, 22 of 49 (45%) usual care). Data analysis is completed, and a manuscript with these findings is currently under review for publication. The POW trial evaluates the effectiveness of an eHealth PA intervention for improving depressive symptoms and increasing PA among postpartum individuals at high PPD risk. Results have implications for the design and delivery of behavioral interventions among vulnerable patients. ClinicalTrials.gov NCT04414696; https://clinicaltrials.gov/ct2/show/NCT04414696. DERR1-10.2196/56882.

Élő method based mobile TV recommendation system

AbstractStreaming services spread rapidly. Among these services there are the linear TV, video library or program review system, while the online platform offering these contents is called mobile TV. A recommendation system may not only keep existing clients, but may also generate further turnover, should it introduce new content to the users. In this paper a recommendation system based on the Élő point calculation method is addressed. It is detailed how the programs should be grouped into different dimensions and what type of categories should be considered. Further, the idea of punch cards is introduced. Besides, the user profiles are set. The match system introduced by Élő is applied to the present situation. The system is introduced at a local mobile TV provider with 20,000 users.

The Daniel H. Wagner Prize for Excellence in the Practice of Advanced Analytics and Operations Research: Introduction to the 2023 Competition and Some History on the Prize’s 25th Anniversary

The judges for the 2023 competition selected the three finalist papers featured in this special issue of the INFORMS Journal on Applied Analytics (IJAA). The prestigious Wagner Prize—awarded for achievement in implemented operations research, management science, and advanced analytics—emphasizes the quality and originality of mathematical models along with clarity of written and oral exposition. This year’s winning submission describes the design and deployment of an approach to accommodate the assembly of semiconductor products using multidie packages, a powerful and innovative approach to manufacturing a wide range of strategically designed semiconductors. The authors refer to the problem as the sort-assemble-blend routing problem (SABR-P), and their approach to solving the SABR-P is a combination of genetic algorithms, Monte Carlo simulations, linear programming, and machine learning. The remaining papers describe an integrated approach to system-wide deployment of nurses that facilitates the movement of nurses between hospitals, and a multiple-stage process that consolidates parcels ordered by the same consumer from one or more merchants during the fulfillment process. In addition, we provide some historical perspective on the Daniel H. Wagner Prize for Excellence in the Practice of Advanced Analytics and Operations Research. We show the titles, abstracts, and names and affiliations for its recipients for each year in which the prize has been awarded. Finally, we provide links to the winning papers, which have been published by INFORMS Journal on Applied Analytics (formerly Interfaces). Supplemental Material: Full presentation videos with slides are available in the INFORMS Video Library at https://www.informs.org/Resource-Center/Video-Library and as electronic companions to the INFORMS Journal on Applied Analytics articles.

Simulated fire video collection for advancing understanding of human behavior in building fires.

The goal of the present research was to develop a video collection of simulated fires to investigate how people perceive growing building fires. In fire safety science, a critical factor to occupant responses to building fires is the pre-movement period, determined by how long it takes an individual to initiate taking protective action with an incipient fire. Key to studying the psychological processes that contribute to the duration of the pre-movement period is presenting human subjects with building fires. One approach used in previous research is to present videos of building fires to individuals via scenarios. The numerical simulations used to model fire dynamics can be used to render videos for these scenarios. However, such simulations have predominantly been used in fire protection engineering to design buildings and are relatively inaccessible to social scientists. The present study documents a collection of videos, based on numerical simulations, which can be used by researchers to study human behavior in fire. These videos display developing fires in different types of rooms, growing at different rates, different smoke thickness, among other characteristics. As part of a validation study, participants were presented with subsets of the video clips and were asked to rate the perceived risk posed by the simulated fire. We observed that ratings varied by the intensity and growth rate of the fires, smoke opacity, type of room, and where the viewpoint was located from the fire. These effects aligned with those observed in previous fire science research, providing evidence that the videos could elicit perceived risk using fire simulations. The present research indicates that future studies can utilize the video library of fire simulations to study human perceptions of developing building fires as situational factors are systematically manipulated.

Digital Technology in The Training of Future Kinesiotherapists

Digital technology has permeated all fields of activity, therefore it is absolutely necessary to use it in the education system as well. Today`s students should benefit from the conveniences offered by the digital world; the information activity must thus be permanently adapted to the digital evolution, so that the future specialists can face the demands of society. Kinesiotherapy and Special Motricity students, future kinesiotherapists, need solid knowledge of human anatomy, this knowledge being a support for their whole activity. Digital technology can supplement the traditional way of learning human anatomy. Various apps have been designed for learning human anatomy, among them Complete Anatomy. Created in 2009 by 3D4Medical, now part of Elsevier, Complete Anatomy is an application that offers an alternative to physical anatomical models, through interactive anatomical models; the application can be installed on various devices: laptop, tablet, smartphone and can be accessed anytime and anywhere the student is, both during class/lab and outside them, for individual study. Using the Complete Anatomy app, muscle actions can be visualized; movement analysis being important in the training of future kinesiotherapists. In addition to detailed 3D anatomical models, the app also provides anatomical information and a video library. For the research, the group of subjects was made up of first-year students from the Faculty of Physical Education, Sport and Kinesiotherapy, specialization in Kinesiotherapy and Special Motricity, Romanian-American University of Bucharest. Following the use of a questionnaire, it was found that, regardless of the experience of previous use or not of some applications in learning, students are eager to use digital technology for learning human anatomy through the Complete Anatomy application.

Communicate, support and integrate: strategies to improve engagement with cardiac rehabilitation

Abstract Background Factors beyond Cardiac Rehabilitation (CR) service continue to negatively impact CR attendance and programme completion. Intrapersonal, socioeconomic, health perception/co-morbidity and logistical factors can have a significant impact on CR uptake. During the COVID-19 pandemic many services reconsidered their approach and utilised novel but more flexible delivery solutions (1). As clinical services remodel post-COVID we sought to incorporate the patient perspective. Purpose To identify and co-design strategies to improve engagement with CR. Methods Experience Based Co-Design (EBCD) is a Codesign methodology that incorporates the experiences of patients, caregivers and service providers (2). The project involved staff, patients and caregivers linked to CR across the region. In an iterative process, a literature review followed by focus groups and co-design workshops were conducted by the research team during 2019-2021. Results The co-design workshops identified numerous multifaceted issues in relation to engagement with CR. These can be described in three distinct themes. Communicate Misunderstandings about CR content and efficacy persist amongst patients and the public. Health Care Professionals must streamline, and focus information provided to patients in order to highlight the multifaceted benefits of CR, a patient-led information video for patients and public was produced and shared through CR networks. Support Patients require additional emotional and social support following a cardiac event. Significant concerns described by patients relate to family, work, socialising and future health. A supportive, facilitated discussion was warranted and a brief cardiac intervention (CABIN) was developed and will be tested in a feasibility trial. Integrate Following COVID-19 patients are more receptive to hybrid approaches to delivering CR. Diverse options for delivery of CR should be integrated into standard practice. Patient suggestions included online learning modules, social exercise, video libraries, online support meetings, text chat facilities, and regionally specific webpages. The study resulted in three key outputs; a short regional information video, a regional webpage and the brief supportive intervention, CABIN. Conclusion Co-designing with staff and patients provides relevant and important information about highlighting the importance of and accessing and delivering a service which can be incorporated into future service changes.

Using a Human-Centered Design Process to Evaluate and Optimize User Experience of a Website (InPACT at Home) to Promote Youth Physical Activity: Case Study.

Web-based physical activity interventions often fail to reach the anticipated public health impact due to insufficient use by the intended audiences. The purpose of this study was to use a human-centered design process to optimize the user experience of the Interrupting Prolonged sitting with ACTivity (InPACT) at Home website to promote youth physical activity participation. Qualitative interviews were conducted to assess engagement and pain points with the InPACT at Home website. Interview data were used to create affinity maps to identify themes of user responses, conduct a heuristic evaluation according to Nielsen's usability heuristics framework, and complete a competitive analysis to identify the strengths and weaknesses of competitors who offered similar products. Key themes from end user interviews included liking the website design, finding the website difficult to navigate, and wanting additional features (eg, library of watched videos). The website usability issues identified were lack of labeling and categorization of exercise videos, hidden necessary actions and options hindering users from decision-making, error-prone conditions, and high cognitive load of the website. Competitive analysis results revealed that YouTube received the highest usability ratings followed by the Just Dance and Presidential Youth Fitness Program websites. Human-centered design approaches are useful for bringing end users and developers together to optimize user experience and impact public health. Future research is needed to examine the effectiveness of the InPACT at Home website redesign to attract new users and retain current users, with the end goal of increasing youth physical activity engagement.

IT-INVESTIGATOR IN THE DIGITAL ENVIRONMENT OF CRIMINAL PROCEEDINGS

This paper is devoted to the issues of investigation of crimes characterized by complexity and extensive use of digital technologies. The authors argue that criminal proceedings nowadays need modernization through the involvement of technology, as well as the provision of highly qualified investigators who are able to use the knowledge of interdisciplinary sciences to solve technogenic problems of criminal proceedings. Many crimes are committed with the use of modern technologies. At the same time, crimes are becoming more and more sophisticated and technological. They can be investigated by IT-investigators. It seems that the level of competence of the latter can be determined by the category of crimes, defined by the method of committing crimes. Highly qualified investigators should also investigate crimes related to digital financial assets and digital currency. The authors substantiate that an IT investigator should be able to work with big data, read expert opinions on the results of computer-technical examinations of any complexity, widely use electronic documents, and in the future use an electronic assistant. Digital video library, audio recordings and photos can be accumulated in cloud spaces, regarding which today there are various proposals for the application of software, modeling, algorithmization of processes.

REAL-Colon: A dataset for developing real-world AI applications in colonoscopy

Detection and diagnosis of colon polyps are key to preventing colorectal cancer. Recent evidence suggests that AI-based computer-aided detection (CADe) and computer-aided diagnosis (CADx) systems can enhance endoscopists' performance and boost colonoscopy effectiveness. However, most available public datasets primarily consist of still images or video clips, often at a down-sampled resolution, and do not accurately represent real-world colonoscopy procedures. We introduce the REAL-Colon (Real-world multi-center Endoscopy Annotated video Library) dataset: a compilation of 2.7 M native video frames from sixty full-resolution, real-world colonoscopy recordings across multiple centers. The dataset contains 350k bounding-box annotations, each created under the supervision of expert gastroenterologists. Comprehensive patient clinical data, colonoscopy acquisition information, and polyp histopathological information are also included in each video. With its unprecedented size, quality, and heterogeneity, the REAL-Colon dataset is a unique resource for researchers and developers aiming to advance AI research in colonoscopy. Its openness and transparency facilitate rigorous and reproducible research, fostering the development and benchmarking of more accurate and reliable colonoscopy-related algorithms and models.

Teaching Experimental Instrumental Analytical Chemistry Are we forming professionals, training operators or illuding students (and ourselves)?

Teaching Experimental Instrumental Analytical Chemistry Are we forming professionals, training operators or illuding students (and ourselves)?

The Effect of Campus News Video Library on Secondary Vocational School Students’ Sense of Responsibility and Self-Awareness Ability

This research inverstigates the Campus News Video Library (CNVL) to confirm whether it has a significant impact on the cultivation of students’ sense of social responsibility and self-awareness ability. The finding shows that there were differences in social responsibility among students of different grades, and there were also differences in the ways in which students of different sexes were affected in self-awareness. These findings not only enrich the understanding of the effect of CNVL on students’ learning, but also provide useful reference for educational practice and further research. In summary, the research results show that CNVL could serve as an effective teaching tools to improve the moral education level in general, and social responsibility and self-awareness of secondary vocational school students.

Good Practices in Animal Research: A Web-Based Platform for Training in Laboratory Rodent Experimental Procedures.

The advancement of technology has revolutionized education, particularly through video-based learning. In response, the Good Practices in Animal Research (BPEA, "Boas Práticas em Experimentação Animal" in Portuguese) platform was established as a contemporary educational tool for training in laboratory rodent experimental techniques. Designed to replace traditional animal-centered teaching methods, BPEA provided scientifically accurate video content tailored for veterinary medicine students. Mastering animal handling skills is crucial for veterinary students, and BPEA addressed this by offering video demonstrations of experimental procedures, allowing visualization and confidence-building before live animal interaction. The platform's video library covered diverse procedures, such as substance administration and blood collection, accompanied by protocols, images, and diagrams for enhanced learning. The intuitive menu facilitated easy navigation, enabling students to access content aligned with their needs. Website traffic analysis demonstrated widespread usage, with users from Portuguese-speaking countries being prominent. Integration of BPEA into the Laboratory Animal Science course at the University of São Paulo garnered positive student feedback, highlighting its value as a supplementary resource for bridging theoretical and practical learning. While BPEA showed promise in promoting ethical teaching practices and reducing animal stress, it could not entirely replace hands-on training. A balanced approach between video-based learning and live demonstrations is necessary for a comprehensive learning experience. In conclusion, BPEA was a valuable resource contributing to Laboratory Animal Science education, aligning with ethical standards, and benefiting students, researchers, and animal care professionals. Continuous improvements based on feedback make the platform a dynamic tool for future advancements in laboratory animal science education.

A systematic approach to defining and verifying descriptors used in the Qualitative Behavioural Assessment of sows.

Qualitative Behaviour Assessment (QBA) is a welfare evaluation tool that uses a holistic approach to capturing an animal's emotional state. Lists of QBA descriptors validated to assess pig welfare exist, but their definitions are often not described in peer-reviewed literature and the processes used to develop definitions are lacking. The objective of this study is to detail a systematic approach to creating clear definitions for a pre-existing fixed list of QBA descriptors and test their application. A fixed list of 20 descriptors from the EU Welfare Quality® assessment protocol for pigs was modified, and ten pig experts were recruited to assist with defining these descriptors in a focus group-style discussion. Half of the experts involved in creating descriptor definitions partook in a subsequent step, where the newly developed definitions were tested by implementing QBA on a video library of post-weaned sows selected to capture the breadth of sow behaviour. Experts displayed excellent agreement in identifying a PCA dimension interpreted as the valence of descriptors and good agreement for another reflecting arousal. Inter-observer reliability was also measured for each descriptor. Only two descriptors exhibited less than moderate agreement between experts whereas half of the descriptors evoked substantial agreement or better. These findings support our process to delineate clear definitions for a fixed list of QBA descriptors in pigs. This study is the first of its kind detailing the in-depth process of creating and verifying descriptor definitions for future use in sow welfare assessment.

Campus News Video Library: A Multimedia Teaching Strategy to Stimulate Secondary Vocational School Students' Civic Awareness

Campus News Video Library: A Multimedia Teaching Strategy to Stimulate Secondary Vocational School Students' Civic Awareness

EEG-based affective computing in virtual reality with a balancing of the computational efficiency and recognition accuracy

The field of VR-EEG affective computing is rapidly progressing. However, it faces challenges such as lacking a solid psychological theory foundation, limited classification accuracy, and high computational costs. This study established a standardized VR video library to elicit emotions. Participants viewed positive, negative, and neutral VR videos while EEG data was collected. Grounded in the Affective Style Theory, this research proposes an emotion valence recognition strategy in VR that balances computational efficiency and classification accuracy through multidimensional complementary feature extraction from EEG signals, feature selection or dimensionality reduction coupled with classifiers, and optimal frequency band selection. The research findings indicate that multidimensional complementary feature extraction in frequency and spatial domains can enhance recognition performance. Notably, the theta frequency band features are pivotal in emotion valence recognition within VR environments. Strategies like PCA-RF and RBFNN outperform existing methods, achieving an average classification accuracy of up to 95.6% while maintaining computational efficiency. In terms of theoretical contributions, the study enhances our understanding of emotional perception consistency and variability under the Affective Style Theory, offering insights into individual emotional state recognition. In practical terms, it emphasizes efficiency-accuracy balance, making integrating VR-EEG affective computation technology into a broader range of applications feasible.

“We consume to forget; we collect to believe”: Resistance, nostalgia, and VHS technologies in 21st century Greek video cultures

Almost 50 years after the VCR’s (Video Cassette Recorder) worldwide penetration in the international entertainment market, this paper will explore VCR-use-related and VCR-viewing-related activities, and the cultural practices of the Greek video cultures, particularly videotape collectors, in the 21st century. Rooted in various disciplines, the article aims to illuminate the persistent nature of VHS collectors’ previous entertainment routines. From owning a VCR device and maintaining their videotape collections to enriching them with new acquisitions from video libraries and online buys, Greek videotape aficionados’ practices show continuities and discontinuities from the past. Furthermore, it will explore how these practices have influenced their perception of current uses and gratifications of VHS technologies, revealing a perspective rooted in (tech) nostalgia. Moreover, the article will argue that the enduring presence and resilience of VHS technologies can be regarded as a testament to collective memory, a resistance to the digitalization of entertainment, and a longing for simpler ways of life, particularly in the aftermath of the 2007–2008 financial recession and the rise of new technologies.

Streaming Queer Content: LGBTQ Media on BVOD and SVOD Services in Australia

This article analyzes the strategies through which Broadcast Video on Demand (BVOD) and Subscription Video on Demand (SVOD) services make queer titles available and discoverable to users. While streaming video services operate globally and the issue of LGBTQ inclusion is not solely a national one, Australia’s complex history of LGBTQ representation in film and television offers a unique context to explore these issues. This article asks: How is queer content categorized and promoted on BVOD and SVOD services in Australia? How easily discovered is this content? And how does this impact the visibility and inclusion of LGBTQ identities within the Australian screen media landscape? Drawing on critical librarianship and catalog analysis, this article reveals discrepancies between curated categories and search results, the failure of search tools to recognize language associated with LGBTQ identities, and the obscuring of queer content within streaming video libraries.

Classification of Human Driver Distraction Using 3D Convolutional Neural Networks

Distracted driving is a dangerous driving behavior that causes numerous accidents on US roads each year. It is critical to identify distracted drivers in order to prevent such accidents. Previous studies attempted to detect distracted driving using heuristics and machine learning; however, none of these methods could capture the problem's spatiotemporal features. As a result, the purpose of this study was to use a 3D convolutional neural network (CNN) that can capture both spatial and temporal information to classify distracted drivers based on facial features and behavioral cues. We used the Database to Enable Facial Analysis for Driving Studies (DEFADS), an open-source dataset containing 77 human subjects performing scripted driving-related activities, to achieve this goal. The PyTorch video library was used to train the model. The 3D CNN achieved an overall recall and precision of 97.6 and 98.1, respectively, indicating its efficacy in detecting distracted drivers in the real world.