Turkey vultures tune their airspeed to changing air density.

Animals must tune their physical performance to changing environmental conditions, and the breadth of environmental tolerance may contribute to delineating the geographic range of a species. A common environmental challenge that flying animals face is the reduction of air density at high elevation and the reduction in the effectiveness of lift production that accompanies it. As a species, turkey vultures (Cathartes aura) inhabit a >3000 m elevation range, and fly considerably higher, necessitating that they accommodate for a 27% change in air density (0.890 to 1.227 kg m-3) through behavior, physiology or biomechanics. We predicted that birds flying at high elevation would maintain aerodynamic lift performance behaviorally via higher flight speeds, rather than increases in power output or local phenotypic adaptation. We used three-dimensional videography to track turkey vultures flying at three elevations, and data supported the hypothesized negative relationship between median airspeed and air density. Additionally, neither the ratio of horizontal speed to sinking speed nor flapping behavior varied with air density.

Videolaryngoscopy during Urgent Cesarean Delivery: Association with Neonatal Intensive Care Unit Admission.

OBJECTIVES: Parturients are at increased risk for difficult airway management with subsequent fetal complications. Videolaryngoscopy was opined to be the new standard of airway care to facilitate orotracheal intubation under urgent care conditions. We examined in parturients requiring general anesthesia for urgent cesarean delivery the association of the type of laryngoscopy technique and time required to facilitate orotracheal intubation with the incidence of subsequent neonatal intensive care unit (NICU) admission. METHODS: Following institutional review board approval, 431 parturients aged 18 years and older who underwent urgent cesarean section requiring general anesthesia were entered into this study. Patient characteristics, maternal comorbidities, and indications for urgent cesarean delivery were collected from the electronic medical records from January 2013 to November 2018. Orotracheal intubation times by type of laryngoscopy (video or direct) and NICU admission rates also were collected. A measure of effect size, risk differences with 95% confidence intervals (CIs), were calculated for the likelihood of NICU admission by difficult orotracheal intubation and by type of laryngoscopy used to secure the airway. RESULTS: Videolaryngoscopy as the primary type of laryngoscopy was used in 24.1% (95% CI 20.3%-28.3%) of general anesthetics. The incidence of difficult orotracheal intubation was 4.4% (95% CI 2.8%-6.7%), with a higher incidence observed with videolaryngoscopy (8.7%) than with direct laryngoscopy (3.1%) and a risk difference of 5.6% (95% CI 0.001%-11.3%). The incidence of NICU admission was 38.4% (95% CI 34.0%-43.1%). Times for successful orotracheal intubation were longer with videolaryngoscopy. Videolaryngoscopy had a higher association for NICU admission (47%) than for direct laryngoscopy (36%), with a risk difference of 11.4% (95% CI 0.01%-22.3%). CONCLUSIONS: Videolaryngoscopy did not decrease the incidence of difficult orotracheal intubation, and it did not decrease the time associated with orotracheal intubation. Videolaryngoscopy was associated with a higher association of NICU admission. These results suggest that videolaryngoscopy does not supplant direct laryngoscopy as the standard of care for orotracheal intubation under urgent care conditions of general anesthesia for cesarean section.

AI-enhanced real-time cattle identification system through tracking across various environments.

Video-based monitoring is essential nowadays in cattle farm management systems for automated evaluation of cow health, encompassing body condition scores, lameness detection, calving events, and other factors. In order to efficiently monitor the well-being of each individual animal, it is vital to automatically identify them in real time. Although there are various techniques available for cattle identification, a significant number of them depend on radio frequency or visible ear tags, which are prone to being lost or damaged. This can result in financial difficulties for farmers. Therefore, this paper presents a novel method for tracking and identifying the cattle with an RGB image-based camera. As a first step, to detect the cattle in the video, we employ the YOLOv8 (You Only Look Once) model. The sample data contains the raw video that was recorded with the cameras that were installed at above from the designated lane used by cattle after the milk production process and above from the rotating milking parlor. As a second step, the detected cattle are continuously tracked and assigned unique local IDs. The tracked images of each individual cattle are then stored in individual folders according to their respective IDs, facilitating the identification process. The images of each folder will be the features which are extracted using a feature extractor called VGG (Visual Geometry Group). After feature extraction task, as a final step, the SVM (Support Vector Machine) identifier for cattle identification will be used to get the identified ID of the cattle. The final ID of a cattle is determined based on the maximum identified output ID from the tracked images of that particular animal. The outcomes of this paper will act as proof of the concept for the use of combining VGG features with SVM is an effective and promising approach for an automatic cattle identification system.

A Multimodal Dataset for Mixed Emotion Recognition.

Mixed emotions have attracted increasing interest recently, but existing datasets rarely focus on mixed emotion recognition from multimodal signals, hindering the affective computing of mixed emotions. On this basis, we present a multimodal dataset with four kinds of signals recorded while watching mixed and non-mixed emotion videos. To ensure effective emotion induction, we first implemented a rule-based video filtering step to select the videos that could elicit stronger positive, negative, and mixed emotions. Then, an experiment with 80 participants was conducted, in which the data of EEG, GSR, PPG, and frontal face videos were recorded while they watched the selected video clips. We also recorded the subjective emotional rating on PANAS, VAD, and amusement-disgust dimensions. In total, the dataset consists of multimodal signal data and self-assessment data from 73 participants. We also present technical validations for emotion induction and mixed emotion classification from physiological signals and face videos. The average accuracy of the 3-class classification (i.e., positive, negative, and mixed) can reach 80.96% when using SVM and features from all modalities, which indicates the possibility of identifying mixed emotional states.

Assessing the Vestibulo-ocular Reflex of Contralesional Sides According to Head Impulse Velocity Utilizing the Video Head Impulse Test in Patients with Vestibular Neuritis.

There is a lack of comparative studies examining changes in vestibulo-ocular reflex (VOR) gain with head velocity in the video head impulse test (vHIT) of patients with vestibular neuritis (VN). Thus, the purpose of present study was to identify the effect of head impulse velocity on the gain of the VOR during the vHIT in patients with VN. Head impulse velocities ranging from 100%-200°/s [158.08 ± 23.00°/s in the horizontal canal (HC), 124.88 ± 14.80°/s in the anterior canal (AC), and 122.92 ± 14.26°/s in the posterior canal (PC) were used during vHIT trials of 32 patients with VN. Differences in VOR gain on the ipsilesional and contralesional sides according to head velocity were analyzed. The mean VOR gains in ipsilesional side were decreased to 0.47 in the HC and 0.56 in the AC, leading to marked asymmetry compared to the contralesional side; PC gain was relatively preserved at 0.82 in the ipsilesional side. The mean head impulse velocity applied during vHIT trials in each semicircular canal plane did not differ bilaterally. On the contralesional side, VOR gain was negatively correlated with head impulse velocity (R2=0.25, P=.004 in HC; R2=0.17, P=.021 in AC; R2=0.24, P=.005 in PC), while VOR gain on the ipsilesional sides of the HC and AC was not. Head impulse velocity may have a differential impact on VOR gain, depending on the degree of deficit. Increasing head velocity in vHIT may be considered to identify subtle deficits on the contralesional side of patients with VN.

Optimizing motion detection performance: Harnessing the power of squeeze and excitation modules.

This paper introduces an innovative segmentation model that extends the U-Net architecture with a Squeeze and Excitation (SE) mechanism, designed to enhance the detection of moving objects in video streams. By integrating this model into the ViBe motion detection algorithm, we have significantly improved detection accuracy and reduced false positive rates. Our approach leverages adaptive techniques to increase the robustness of the segmentation model in complex scenarios, without requiring extensive manual parameter tuning. Despite the notable improvements, we recognize that further training is necessary to optimize the model for specific applications. The results indicate that our method provides a promising direction for real-time motion detection systems that require high precision and adaptability to varying conditions.

Reliability, usability, and efficiency of video versus print instructions to teach parents a procedural task: A cross-sectional study.

OBJECTIVE: To compare the reliability, usability, and efficiency of video versus print instructions to teach parents a procedural measurement task. We hypothesized that videos would outperform print in all outcomes. STUDY DESIGN: This cross-sectional study included parents/caregivers of children aged 0-18 years with deep vein thrombosis attending the Thrombosis Clinic at The Hospital for Sick Children for post-thrombotic syndrome (PTS) assessment. Participants were randomly assigned to three instruction types: (i) video, which followed the technique used by clinicians; (ii) long pamphlet, which also followed the clinicians' technique; and (iii) short pamphlet, which explained a simplified technique. After measuring their children's arms or legs using the randomly assigned material, participants completed a usability questionnaire. The reliability of the instructions was estimated by comparing parents/caregivers versus clinicians' measurements using the intraclass correlation coefficient (ICC). Reliability, usability, and efficiency (time to task completion) were compared among the three instruction types. RESULTS: In total, 92 participants were randomized to video (n = 31), long pamphlet (n = 31), and short pamphlet (n = 30). While the video had the highest usability, the short pamphlet was the most reliable and efficient. ICCs were .17 (95% confidence interval [CI]: .00-.39) for the video, .53 (95% CI: .30-.72) for the long pamphlet, and .70 (95% CI: .50-.81) for the short pamphlet. CONCLUSION: Although the video had higher usability, the short/simplified print instruction was more reliable and efficient. However, the reliability of the short pamphlet was only moderate/good, suggesting that whenever possible, measurements should still be obtained by trained clinicians.

TikTok and YouTube Shorts by Autistic Individuals for Increasing Autism Awareness.

INTRODUCTION: Autistic individuals, parents, organizations, and healthcare systems worldwide are actively sharing content aimed at increasing awareness about autism. This study aims at analyzing the type of contents presented in TikTok and YouTube Shorts videos under the hashtag #actuallyautistic and their potential to increase autism awareness. METHODS: A sample of 60 videos were downloaded and analyzed (n=30 from TikTok and n=30 from YouTube Shorts). Video contents were analyzed using both thematic analysis and the AFINN sentiment analysis tool. The understandability and actionability of the videos were assessed with The Patient Education Materials Assessment Tool for Audiovisual Materials (PEMAT A/V). RESULTS: The contents of these videos covered five main themes: Stigmatization; Sensory difficulties; Masking; Stimming; and Communication difficulties. No statistically significant differences were found on sentiment expressed on videos from both channels. TikTok videos received significantly more views, comments, and likes than videos on YouTube Shorts. The PEMAT A/V tool showed that there is a high level of understandability, but little reference to actionability. DISCUSSION: Autistic people videos content spread valid and reliable information in hopes of normalizing difficulties and provide hope and comfort to others in similar situations. CONCLUSIONS: Social media videos posted by autistic individuals provide accurate portrayals about autism but lack information on actionability. These shared personal stories can help increase public literacy about autism, dispel autism stigmas and emphasize individuality.

Dissemination of health content through social networks: YouTube and opioid use disorders.

INTRODUCTION: Most Americans now access social media platforms, including YouTube, to obtain health information. However, few studies have evaluated the quality of YouTube content related to opioid use disorder (OUD), including medications for OUD (MOUD; buprenorphine) and harm reduction resources (e.g., naloxone). The purpose of this cross-sectional analysis was to assess the quality, accuracy, and reliability of MOUD and harm reduction-related video content available on YouTube. METHODS: The study team conducted a YouTube search between June 2022 and July 2022 using key words related to MOUD and harm reduction content (e.g., "suboxone," "methadone," "Narcan"). The 5 most viewed videos from each search term were analyzed for quality (i.e., Global Quality Scale; GQS), accuracy (i.e., JAMA Benchmark Criteria), and reliability (i.e., DISCERN). Videos that were non-English, duplicate, or that did not directly mention OUD, MOUD, or harm reduction were excluded from the review (N = 6). RESULTS: YouTube videos (N = 70) were mostly produced by medical professionals (27.1 %), independent nonmedical users (21.4 %; e.g., vloggers, individuals documenting their experiences), medical organizations (17.1 %; e.g., hospitals, treatment programs), and/or media (14.3 %; e.g., news agencies). The target audience was primarily the general public (65.7 %), people who use opioids (20.0 %), and healthcare providers (10.0 %). Videos containing MOUD content (N = 64, 61.4 %) mostly focused on suboxone (25.0 %), methadone (23.4 %), Sublocade (14.1 %), and subutex/buprenorphine (14.1 %). The median quality score was 2 based on the GQS with 3 videos receiving the highest quality rating (5). Two videos were highly rated for accuracy per all three JAMA Benchmark criteria. Videos produced by nonmedical educational channels had the highest overall reliability scores on the DISCERN criteria (median 4), followed by medical professionals (median 3), and medical organizations (median 2.5). CONCLUSION: The overall quality, accuracy, and reliability of MOUD and harm reduction related content posted on YouTube is poor. The lack of evidence-based content posted on YouTube reinforces the need for public health expert involvement in disseminating guideline-based content on social media.

Concurrent Validity of Motion Parameters Measured With an RGB-D Camera-Based Markerless 3D Motion Tracking Method in Children and Young Adults.

OBJECTIVE: Low-cost, portable RGB-D cameras with integrated motion tracking functionality enable easy-to-use 3D motion analysis without requiring expensive facilities and specialized personnel. However, the accuracy of existing systems is insufficient for most clinical applications, particularly when applied to children. In previous work, we developed an RGB-D camera-based motion tracking method and showed that it accurately captures body joint positions of children and young adults in 3D. In this study, the validity and accuracy of clinically relevant motion parameters that were computed from kinematics of our motion tracking method are evaluated in children and young adults. METHODS: Twenty-three typically developing children and healthy young adults (5-29 years, 110-189 cm) performed five movement tasks while being recorded simultaneously with a marker-based Vicon system and an Azure Kinect RGB-D camera. Motion parameters were computed from the extracted kinematics of both methods: time series measurements, i.e., measurements over time, peak measurements, i.e., measurements at a single time instant, and movement smoothness. The agreement of these parameter values was evaluated using Pearson's correlation coefficients r for time series data, and mean absolute error (MAE) and Bland-Altman plots with limits of agreement for peak measurements and smoothness. RESULTS: Time series measurements showed strong to excellent correlations (r-values between 0.8 and 1.0), MAE for angles ranged from 1.5 to 5 degrees and for smoothness parameters (SPARC) from 0.02-0.09, while MAE for distance-related parameters ranged from 9 to 15 mm. CONCLUSION: Extracted motion parameters are valid and accurate for various movement tasks in children and young adults, demonstrating the suitability of our tracking method for clinical motion analysis. CLINICAL IMPACT: The low-cost portable hardware in combination with our tracking method enables motion analysis outside of specialized facilities while providing measurements that are close to those of the clinical gold-standard.

Preoperative bedside test indicators as predictors of difficult video laryngoscopy in obese patients: a prospective observational study.

Purpose: The aim of this study was to identify factors associated with difficult video laryngoscopy in obese patients. Methods: A total of 579 obese patients undergoing elective laparoscopic weight loss surgery were intubated with a single-lumen endotracheal tube using a video laryngoscopy under general anesthesia, and the patients were divided into two groups based on the Cormack-Lehane classification (difficult video laryngoscopy defined as ≥ 3): the easy video laryngoscopy group and the difficult video laryngoscopy group. Record the general condition of the patient, bedside testing indicators related to the airway, Cormack-Lehane classification during intubation, and intubation failure rate. Results: The findings of this study show that the incidence of difficult video laryngoscopy in obese patients is 4.8%. Multivariate logistic regression analysis indicated that body mass index was significantly associated with difficult video laryngoscopy (OR = 1.082, 95% CI [1.033-1.132], P < 0.001). Conclusion: For Chinese obese patients without known difficult airways, the incidence of difficult video laryngoscopy is 4.8%. Body mass index is associated factors for the occurrence of difficult video laryngoscopy, with an increased risk observed as body mass index rise.

Peer-Led Versus Authority-Led Video Intervention Effects on Musculoskeletal Injury Help-Seeking Intentions in Reserve Officers' Training Corps.

INTRODUCTION: Reserve Officers' Training Corps (ROTC) trainees are college students who complete military courses and participate in physical and tactical training under the direction of military Service Members assigned to ROTC programs to serve as faculty and staff at US colleges. ROTC trainees report musculoskeletal injuries (MSKIs) attributable to ROTC training in line with MSKI incidence in other training environments. However, concealment is prevalent, as 66% of MSKIs in ROTC go unreported. The current study investigated if a brief, online educational video could increase ROTC trainees' reporting intentions. In addition, we investigated if the message's source (i.e., peer or authority figure) affected reporting intentions. MATERIALS AND METHODS: A repeated measures design was used to evaluate the impact of 2 MSKI educational interventions, one delivered by a high-achieving Army ROTC trainee (peer-led) and the other delivered by an Army ROTC battalion commander (authority-led), on MSKI reporting intentions, as compared to each other and a control intervention. Other than their personal introductions, both individuals had the same script addressing 4 areas: (1) MSKI prevalence in ROTC, (2) evidence of improved outcomes with early treatment, (3) encouraging injury reporting, and (4) addressing specific barriers and stigma beliefs previously identified in ROTC. The control condition consisted of a video demonstrating exercise technique with voiceover. A survey was developed to measure stigma regarding MSKI reporting and intentions to seek help for MSKI. ROTC trainees at 23 universities were invited to participate via an anonymous survey link. Participants completed the following using an online survey platform: (1) pre-intervention MSKI intentions scale, (2) randomly assigned intervention video, and (3) repeat MSKI intentions scale post-intervention. A two-way mixed, ANOVA was performed to assess interaction effects and main effects pre- and post-intervention. RESULTS: One-hundred ROTC trainees (39% female; age = 21 ± 2 years, ROTC experience = 2 ± 1 years) completed the study. Participants were primarily from Army ROTC programs (72 Army, 14 Air Force, and 14 Naval). Pre-intervention survey scores (possible score range 8-56 with lower scores indicating greater intention to seek help): authority-led (n = 31) 20.3 ± 9.4, peer-led (n = 32) 21.8 ± 8.7, control (n = 37) 19.1 ± 10.1, total 20.3 ± 9.4. Post-intervention scores: authority-led 20.9 ± 11.2, peer-led 20.2 ± 10.0, control 17.3 ± 7.7, total 19.7 ± 9.3. There was no significant group*time interaction (F2,97 = 0.92, P = .403, η2partial = 0.02). There were no significant main effects for time (F1,97 = 1.461, P = .230, η2partial =0.015) or group (F2,97 = 1.08, P = .342, η2partial = 0.02). CONCLUSIONS: Findings did not support the use of a single educational intervention video to influence MSKI help-seeking intentions of ROTC trainees. Intentions may already be ingrained such that a single intervention could not influence change. Previous research on concussion reporting indicates that concealment cultures may be systematic and indoctrination of concealment can influence one's reporting intentions. Our sample had already participated in ROTC for 2 years. Future research should evaluate if MSKI help-seeking intentions change over the course of ROTC participation, or even over a military career.

Quality Assessment of TikTok as a Source of Information About Mitral Valve Regurgitation in China: Cross-Sectional Study.

BACKGROUND: In China, mitral valve regurgitation (MR) is the most common cardiovascular valve disease. However, patients in China typically experience a high incidence of this condition, coupled with a low level of health knowledge and a relatively low rate of surgical treatment. TikTok hosts a vast amount of content related to diseases and health knowledge, providing viewers with access to relevant information. However, there has been no investigation or evaluation of the quality of videos specifically addressing MR. OBJECTIVE: This study aims to assess the quality of videos about MR on TikTok in China. METHODS: A cross-sectional study was conducted on the Chinese version of TikTok on September 9, 2023. The top 100 videos on MR were included and evaluated using quantitative scoring tools such as the modified DISCERN (mDISCERN), the Journal of the American Medical Association (JAMA) benchmark criteria, the Global Quality Score (GQS), and the Patient Education Materials Assessment Tool for Audio-Visual Content (PEMAT-A/V). Correlation and stepwise regression analyses were performed to examine the relationships between video quality and various characteristics. RESULTS: We obtained 88 valid video files, of which most (n=81, 92%) were uploaded by certified physicians, primarily cardiac surgeons, and cardiologists. News agencies/organizations and physicians had higher GQS scores compared with individuals (news agencies/organizations vs individuals, P=.001; physicians vs individuals, P=.03). Additionally, news agencies/organizations had higher PEMAT understandability scores than individuals (P=.01). Videos focused on disease knowledge scored higher in GQS (P<.001), PEMAT understandability (P<.001), and PEMAT actionability (P<.001) compared with videos covering surgical cases. PEMAT actionability scores were higher for outpatient cases compared with surgical cases (P<.001). Additionally, videos focused on surgical techniques had lower PEMAT actionability scores than those about disease knowledge (P=.04). The strongest correlations observed were between thumbs up and comments (r=0.92, P<.001), thumbs up and favorites (r=0.89, P<.001), thumbs up and shares (r=0.87, P<.001), comments and favorites (r=0.81, P<.001), comments and shares (r=0.87, P<.001), and favorites and shares (r=0.83, P<.001). Stepwise regression analysis identified "length (P<.001)," "content (P<.001)," and "physicians (P=.004)" as significant predictors of GQS. The final model (model 3) explained 50.1% of the variance in GQSs. The predictive equation for GQS is as follows: GQS = 3.230 - 0.294 × content - 0.274 × physicians + 0.005 × length. This model was statistically significant (P=.004) and showed no issues with multicollinearity or autocorrelation. CONCLUSIONS: Our study reveals that while most MR-related videos on TikTok were uploaded by certified physicians, ensuring professional and scientific content, the overall quality scores were suboptimal. Despite the educational value of these videos, the guidance provided was often insufficient. The predictive equation for GQS developed from our analysis offers valuable insights but should be applied with caution beyond the study context. It suggests that creators should focus on improving both the content and presentation of their videos to enhance the quality of health information shared on social media.

Video quality of nonalcoholic fatty liver disease on TikTok: A cross-sectional study.

The short-video application TikTok shows great potential for disseminating health information. We assessed the content, sources, and quality of information in videos related to nonalcoholic fatty liver disease (NAFLD) on TikTok. Our study aims to identify upload sources, content, and characteristic information for NAFLD videos on TikTok and further evaluate factors related to video quality. We investigated the top 100 videos related to NAFLD on TikTok and analyzed the upload sources, content, and characteristics of these videos. Evaluate video quality using the DISCERN tool and Global Quality Score (GQS). In addition, the correlation between video quality and video characteristics is further studied. In terms of video sources, the majority of NAFLD videos on TikTok (85/100, 85%) were posted by doctors, ensuring the professionalism of the content, and among the video content, disease knowledge was the most dominant video content, accounting for 57% (57/100) of all videos, and the average DISCERN and GQS scores of all 100 videos were 39.59 (SD 3.31) and 2.99 (SD 0.95), respectively. DISCERN and GQS data show that videos related to NAFLD do not have high-quality scores on TikTok, mainly fair (68/100, 68%) and moderate (49/100, 49%). In general, the quality of NAFLD video information from professional content and professional sources was higher than that of nonprofessional sources and nonprofessional content, the video quality of general surgeons was better than that of other department physicians, and the video quality of junior physicians was better than that of senior physicians. In terms of video correlation, durations, the number of fans, and the total number of works were negatively correlated with DISCERN scores (R < 0, P < .05), while likes, comments, collections, shares, and days since upload were not significantly correlated with DISCERN and GQS scores (P > .05). The medical information on TikTok is not rigorous enough to guide patients to make accurate judgments, platforms should monitor and guide publishers to help promote and disseminate quality content.

Evaluation of treatment information quality on hypertension and diabetes on WeChat and TikTok: A cross-sectional content analysis.

Objective: This study aimed to assess the quality of the information in WeChat and TikTok videos related to hypertension and diabetes treatment. Methods: A sample of 120 Chinese videos was collected based on specific inclusion and exclusion criteria. The quality was evaluated using DISCERN, JAMA and the latest edition of Chinese guidelines for hypertension and diabetes prevention and treatment, and two observers independently scored each video using the three assessment tools. Results: Among all 120 videos, only 10 scored above 38 points in DISCERN, with 45 videos rated as "very poor". None of the video met all JAMA criteria simultaneously, and there were gaps in accuracy and completeness compared to the two guidelines. Furthermore, there was no significant correlation between information quality and the number of likes and comments. Conclusion: The current quality of information on the treatment of hypertension and diabetes on WeChat and TikTok was unsatisfactory. Consequently, the government should strengthen oversight of information quality, and social media platforms should actively review health-related content to prevent inaccurate information dissemination. Individuals should enhance their digital and health literacy.

Fostering inclusive science media: Insights from examining the relationship between women's identities and their anticipated engagement with Deep Look YouTube science videos.

As science media content creators strive for inclusivity in communication design and promotion, they must consider the influence of audiences' identities on their engagement with science media. A gender gap in viewership or "missing audience" has been identified for women viewers for educational science content on digital media; one such example of this is Deep Look, a science video series from KQED public media and PBS Digital Studios distributed on YouTube. This study used a mixed method design (1) to examine women's preferences for Deep Look YouTube video promotions (i.e., episode titles and thumbnail images-the images that act as a preview for the video) to best inform future design of promotional content for these videos to attract more women viewers, and (2) to explore how women's preferences for science content are linked to their social identities, science identity, and science curiosity. Findings indicated that women's preferences for promotions for Deep Look YouTube science and nature videos followed expected trends with most women preferring images perceived as visually attractive and colorful more than images perceived as disgusting or gross. However, these preferences were conditional on science curiosity and science identity. Findings indicated that to boost women's engagement with YouTube science and nature videos, content creators may find it useful to consider how science curious various women audiences are, how strongly women viewers identify with being a science person, and how their most salient social identities motivate engagement.

Evaluation of YouTube videos as a source of information in traumatic brain injury rehabilitation: A cross-sectional study.

Due to the lengthy and challenging nature of traumatic brain injury (TBI) rehabilitation, patients and carers increasingly rely on YouTube for information. However, no previous research has assessed the quality and reliability of these TBI rehabilitation videos on this platform. This study aims to assess the quality and reliability of YouTube videos on TBI rehabilitation. In this cross-sectional study, a YouTube search with the keyword "traumatic brain injury rehabilitation" was performed, and the first 100 videos were listed according to relevancy. After applying exclusion criteria, a total of 72 videos were included in the analysis. DISCERN, Journal of the American Medical Association, and Global Quality Score were used to evaluate the quality and reliability of the videos. Video characteristics, including the number of likes, dislikes, duration, and source of upload, were recorded. The mean DISCERN total score was determined to be 39.56 ±â€…8.4. Additionally, the mean Journal of the American Medical Association score was 1.93 ±â€…0.57, the Global Quality Score was 2.6 ±â€…0.81, and the DISCERN quality score was 2.55 ±â€…0.79. Analysis showed that videos with a longer duration (P < .001) and those uploaded earlier (P = .002) were more likely to be of higher quality. Videos produced by healthcare professionals had higher DISCERN scores (P = .049) than those uploaded by non-healthcare professionals. Examination of YouTube videos on TBI rehabilitation indicates a moderate overall quality. The study revealed that videos uploaded by healthcare professionals have higher quality. For obtaining reliable information on TBI rehabilitation, it is also advisable to prioritize videos with longer durations and earlier upload dates. Given the significant role of social media platforms in educational outreach for rehabilitation, it is crucial to enhance the quality of these videos through appropriate measures.

Assessing the interplay of presentation and competency in online video examinations: a focus on health system science education.

BACKGROUND: The integration of Health System Science (HSS) in medical education emphasizes mastery of competencies beyond mere knowledge acquisition. With the shift to online platforms during the COVID-19 pandemic, there is an increased emphasis on Technology Enhanced Assessment (TEA) methods, such as video assessments, to evaluate these competencies. This study investigates the efficacy of online video assessments in evaluating medical students' competency in HSS. METHODS: A comprehensive assessment was conducted on first-year medical students (n = 10) enrolled in a newly developed curriculum integrating Health System Science (HSS) into the Bachelor of Medicine program in 2021. Students undertook three exams focusing on HSS competency. Their video responses were evaluated by a panel of seven expert assessors using a detailed rubric. Spearman rank correlation and the Interclass Correlation Coefficient (ICC) were utilized to determine correlations and reliability among assessor scores, while a mixed-effects model was employed to assess the relationship between foundational HSS competencies (C) and presentation skills (P). RESULTS: Positive correlations were observed in inter-rater reliability, with ICC values suggesting a range of reliability from poor to moderate. A positive correlation between C and P scores was identified in the mixed-effects model. The study also highlighted variations in reliability and correlation, which might be attributed to differences in content, grading criteria, and the nature of individual exams. CONCLUSION: Our findings indicate that effective presentation enhances the perceived competency of medical students, emphasizing the need for standardized assessment criteria and consistent assessor training in online environments. This study highlights the critical roles of comprehensive competency assessments and refined presentation skills in online medical education, ensuring accurate and reliable evaluations.

An evaluation of education videos for women experiencing domestic and family violence in healthcare settings: protocol for a mixed methods systematic review.

BACKGROUND: Domestic and family violence (DFV) is a significant public health issue that poses a high risk to women, globally. Women experiencing DFV have higher rates of healthcare utilisation than women not experiencing DFV. Healthcare services are therefore well placed to address DFV and deliver education and awareness interventions to women. Video interventions are a strategy to deliver education to women, while overcoming barriers such as language, literacy, lack of rapport with clinician, or unwillingness to disclose. The current review will aim to further understand the characteristics, methods of evaluation, and outcomes of DFV video education interventions for perinatal women. METHODS: The review will be reported in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) statement. A systematic search will be conducted of the following databases: Medline, Embase, PsycINFO, PsycArticles, Scopus, and Web of Science Core Collection. Two independent reviewers will screen titles and abstracts against the inclusion criteria, followed by a full text screening of eligible articles. A third reviewer will resolve discrepancies. All study types will be included. Only studies published in English will be included. Risk of bias will be assessed using the Quality Assessment with Diverse Studies (QuADS) tool. Data will undergo an aggregate mixed method synthesis informed by The Joanna Briggs Institute, before being analysed using a thematic approach. DISCUSSION: This systematic review will provide evidence on best practice for the creation, delivery, and evaluation of DFV video interventions for women in the peripartum. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration number CRD42023475338.

Automated Hand Prehension Assessment From Egocentric Video After Spinal Cord Injury.

Hand function assessments in a clinical setting are critical for upper limb rehabilitation after spinal cord injury (SCI) but may not accurately reflect performance in an individual's home environment. When paired with computer vision models, egocentric videos from wearable cameras provide an opportunity for remote hand function assessment during real activities of daily living (ADLs). This study demonstrates the use of computer vision models to predict clinical hand function assessment scores from egocentric video. SlowFast, MViT, and MaskFeat models were trained and validated on a custom SCI dataset, which contained a variety of ADLs carried out in a simulated home environment. The dataset was annotated with clinical hand function assessment scores using an adapted scale applicable to a wide range of object interactions. An accuracy of 0.551±0.139, mean absolute error (MAE) of 0.517±0.184, and F1 score of 0.547±0.151 was achieved on the 5-class classification task. An accuracy of 0.724±0.135, MAE of 0.290±0.140, and F1 score of 0.733±0.144 was achieved on a consolidated 3-class classification task. This novel approach, for the first time, demonstrates the prediction of hand function assessment scores from egocentric video after SCI.