Quality Of Video Content Research Articles

Research on the Content of Short Videos of Science Popularization

Nowadays, the Internet is highly developed and self-media has emerged. As one of the new communication channels, self-media is favored by internet users and enterprises because of its rapid transmission of information and high interactivity. With the continuous improvement of people's living standard, the demand for spiritual and cultural aspects is also increasing, and the traditional TV media can no longer meet the growing spiritual and cultural needs of the public nowadays. Therefore, the new era of television media has to seek changes. Here comes the most popular form of content, short video. Among them, beeping technology area up master "Hello teacher, my name is He" with super high quality video content, eye-catching circle hot research for a large number of young audiences favored. The author believes that the study of the content of this self-media can help provide some insights for the development of science popularization self-media and similar science popularization short video uploaders. In terms of content, the author adopted the content analysis method to study the 43 videos of "Hello teacher, my name is He" in the past five years. The author found that: "Teacher, my name is He" videos are mainly divided into several aspects, such as in-depth experience evaluation, hot science videos and fan feedback videos; the update frequency and release volume of He showed a relatively stable dissemination trend, and the videos are mostly 5-8 minutes short videos.

Assessment of reliability and information quality of YouTube videos about root canal treatment after 2016

BackgroundThis study aimed to assess and update the content, reliability, and information quality of content related to root canal treatment (RCTx) on YouTube and evaluate the correlation between each evaluation index.MethodsYouTube was searched using two terms related to RCTx (“root canal and endodontic treatment”). A total of 240 videos (120 for each search term) were screened. Exclusion criteria were as follows: no sound or visuals, non-English, irrelevant to the search term, longer than 15 min, duplicate, or old (uploaded before 2016). After exclusion, 50 videos of “root canal treatment” and 45 videos of “endodontic treatment” were analyzed. Video length, total number of views, likes, dislikes, comments, and days since upload were recorded using descriptive video data. Viewers’ interaction, reliability and information quality of the video, and quality of video content were measured using nondescriptive video data. The interaction index and video power index were used for viewer interactions, and the modified DISCERN index, JAMA criteria, and Global Quality Score were used to assess the reliability and information quality of the video. The quality of the video content was measured using the completeness score.ResultsThe videos of the “root canal treatment” group had a significantly higher completeness score for the etiology and symptoms (p < 0.05), and videos of the “endodontic treatment” group showed a higher interaction index, completeness score for the procedure (p < 0.05). Videos for dentists had significantly higher completeness scores for the procedure, while videos for laypersons had higher completeness scores for etiology, anatomy, symptoms, and prognosis (p < 0.05). Furthermore, the total completeness score and the interaction index of the videos for laypersons were significantly higher (p < 0.05). The videos uploaded by the university had a significantly higher modified DISCERN index (p = 0.044), and the JAMA score was significantly higher in the commercial group (p = 0.001).ConclusionsAlthough the accuracy of videos related to RCTx was higher in videos by universities and professionals, the total completeness of YouTube videos was low regardless of the video source. Therefore, professionals should be responsible for providing more accurate and reliable videos.

YouTube videoları Penil Doppler Ultrasonografi hakkında güvenilir bilgiye sahip mi?

Objective: Our objective was to evaluate the accuracy and reliability of YouTube videos about penile doppler ultrasonography (PDU), a diagnostic tool for erectile dysfunction. Material and Methods: Videos on YouTube were searched using the term “Penile Doppler Ultrasonography”. The most related 48 videos were included in to study. For each video, uploader type (physician, patient, or YouTuber), target group (physicians or non-physicians), video duration, upload date, daily view count, the total number of views, and the number of likes and comments were recorded. The reliability and quality of the content of these videos included in the study were evaluated using JAMA, DISCERN, and GQS scores. Results: The physicians uploaded all of the videos used in the study. It was shown that 27 (56%) of the videos were prepared for physicians, and the remaining videos were prepared for non-physicians. All the videos had general information about the PDU, 32 (67%) videos gave theoretical information, and 23 (48%) videos gave information about the application of the PDU. When the videos were examined according to the target group, it was shown that the videos prepared for physicians had a longer duration (p=,001) but had a lower number of comments and views (p=,012 and p=.046, respectively). In addition, when the video content quality and reliability were examined, the average JAMA score was 2.5, the GQS score was 3.44, and the DISCERN score was 52.2. It was found that the quality and reliability scores were statistically higher in the videos prepared for physicians (p&lt;0.05). Conclusion: As a source of knowledge about health care, YouTube is frequently used by doctors and other people (including patients). High-quality information is very important for both physicians and individual patients. In this study, we showed that videos uploaded by physicians had reliable content, but these high-quality videos had longer duration and lower view count. In order to improve the quality of PDU-related videos, physicians should upload high-quality videos, and YouTube algorithms should direct patients to high-quality videos. Keywords: penile, doppler, ultrasonography, YouTube

Prostat füzyon biyopsisi ile ilgili YouTube videolarındaki bilgilerin kalitesi

Objective: The aim of this study is to evaluate the quality of videos on YouTube related to MRI-TRUS prostate fusion biopsy. Material and Methods: A YouTube search was made on March 16, 2022, for the videos related to “MRI-TRUS prostate fusion biopsy”. The first 70 videos were ranked during this study by choosing “relevance” as a criterion. Video content quality was evaluated using the internationally validated Journal of the American Medical Association Benchmark Score (JAMAS) and Global Quality Score (GQS). The researcher also developed MRI-TRUS Prostate Fusion Biopsy Scoring (MTPFBS) to evaluate videos’ technical content. The upload origin and length of video view count, like and dislike ratios, and video power indexes (VPI) were all evaluated. Results: Video content from academic center sources had significantly higher GQS scores than scientific meetings or private institution videos. Video content prepared by private institution sources had significantly lower MTPFBS and JAMA scores than other videos (p&lt;0.05). According to the type of information, videos uploaded with voice and writing had significantly higher JAMAS and MTPFBS than voice alone (p&lt;0.05). The length of videos showed a positive correlation with JAMA and MTPFBS. VPI and the number of likes showed a strong correlation. However, VPI or the number of likes did not correlate with GQS, JAMAS, and MTPFBS scores. Conclusion: Evaluated on YouTube, the MRI-TRUS prostate fusion biopsy videos were low quality. In that regard, videos prepared by specialists and academic centers should be standardized to transfer better quality information. According to current data, watching these video contents may not be recommended. Keywords: Multiparametric magnetic resonance imaging; prostate; internet

Evaluating the Quality and Reliability of Gender-affirming Surgery Videos on YouTube and TikTok.

Background:Social media platforms have changed the way medical information is disseminated. Transgender patients may utilize social media to learn about gender-affirming surgery (GAS). Although videos on social media are readily accessible, their content is not verified or peer-reviewed. Therefore, this study aimed to evaluate the quality and reliability of YouTube and TikTok videos related to GAS.Methods:YouTube and TikTok were queried for gender-affirming top surgery, metoidioplasty, phalloplasty, breast augmentation, and vaginoplasty. Quality of video content was analyzed by the DISCERN scale. Quality scores were compared among the type of GAS, account user, and content category.Results:There were 275 YouTube videos and 55 TikTok videos. Most videos focused on masculinizing top surgery (P < 0.001). Overall, videos on masculinizing GAS had higher quality and reliability than videos on feminizing GAS (P < 0.001). Chest surgery videos were of higher quality than those on genital surgery (P ≤ 0.001). Videos on masculinizing top surgery had the highest quality, whereas vaginoplasty had the lowest quality and reliability (P < 0.001). Videos produced by health care professionals and academic institutions had the greatest quality and reliability, respectively (P < 0.0001), whereas videos produced by patients were the least reliable (P < 0.0001).Conclusions:Videos on GAS ranged from poor to good quality and reliability. Health care professionals, especially plastic surgeons, should create high-quality videos on social media to educate transgender patients. There should also be greater efforts in disseminating existing high-quality videos on social media. Resources posted on social media platforms can reach a wide audience through accessible means.

Looking for cystoscopy on YouTube: Are videos a reliable information tool for internet users?

Objective: The Internet is an important and easily accessible source of information. The aim of the current study was to investigate the quality of YouTube videos on cystoscopy and to establish if they can be used as a reliable information tool for internet users. Materials and methods: The search term “cystoscopy” was used on YouTube platform and the first 120 YouTube videos were analyzed. To assess the video quality Patient Education Materials Assessment Tool (PEMAT) for Audiovisual (A/V) Materials (Understandability and Actionability sections), Misinformation score and Global Quality Score (GQS) were used. Results: Of all 120 videos, 72 were included in the analyses. Of all videos, 59.7% (n = 43), and 40.3% (n = 29) were targeted to General Public and Healthcare Workers. Moreover, “technical aspects” was the main topic addressed (n = 29, 40.3%). The median PEMAT A/V Understandability and Actionability scores were 50.0% (IQR: 39.1-70.0) and 66.7% (IQR: 33.3- 100.0), respectively. The median Misinformation score ranged from 1.0 to 3.0. According to GQS, 22 (30.6%), 26 (36.1%), 16 (22.2%), 8 (11.1%) videos were poor, generally poor, moderate, and good, respectively. No video was evaluated as excellent. Conclusions: Today, YouTube videos on cystoscopy are more frequently uploaded by healthcare workers, who share information about specific aspects of this procedure. However, the quality of YouTube contents on cystoscopy is still poor. Therefore, currently users interested in cystoscopy cannot rely on YouTube to get good informative material on this topic. In consequence, future authors should focus on improving the quality of video contents on cystoscopy

Explora-VR: Content Prefetching for Tile-Based Immersive Video Streaming Applications

Despite the growing popularity of immersive video applications during the last few years, the stringent low latency requirements of this kind of services remain a major challenge for the existing network infrastructure. Edge-assisted solutions compensate for network latency by relying on cache-enabled edge servers to bring frequently accessed video content closer to the client. However, these approaches often require historical request traces from previous watching sessions or adopt passive caching strategies subject to the cold-start problem and prone to playout freezes. This paper introduces Explora-VR, a novel edge-assisted content prefetching method for tile-based 360^{circ } video streaming. This method leverages the client’s rate adaptation heuristic to preemptively retrieve the content that the viewer will most likely watch in the upcoming segments, and loads it into a nearby edge server. At the same time, Explora-VR incrementally builds a dynamic collective buffer for serving the requests from active streaming sessions based on the estimated popularity of video tiles per segment. An evaluation of the proposed method was conducted on head movement traces collected from 48 unique users while watching three different 360^{circ } videos. Results show that Explora-VR is able to serve over 98% of the client requests from the cache-enabled edge server, leading to an average increase of 2.5times and 1.4times in the client’s perceived throughput, compared to a conventional client-server setup and a least recently used caching policy, respectively. This enables Explora-VR to serve higher quality video content while providing a freeze-free playback experience and effectively reducing network traffic to the content server.

Investigating factors affecting learning satisfaction and perceived learning in flipped classrooms: the mediating effect of interaction

ABSTRACT The study investigated the relationships among quality dimensions, three types of interactions (i.e. learner-content, learner-instructor, and learner-learner interaction), perceived learning and learning satisfaction with flipped courses in the context of the flipped classroom based on the information system (IS) success model. In this study, the quality dimensions in the original IS success model were replaced by flipped learning platform quality, instructional video content quality, and teaching quality (i.e. instructor monitoring and instructor facilitation). The data from 70 participants were analyzed using partial least squares structural equation modeling. The results indicate that all the quality dimensions have the influences on both learning satisfaction with flipped courses and perceived learning through the mediation of learner-content interaction or learner-instructor interaction. Moreover, learner-learner interaction significantly influences perceived learning, but not learning satisfaction with flipped courses. Finally, a positive and direct link between perceived learning and learning satisfaction with flipped courses was found.

Learning to compress videos without computing motion

Video has become an increasingly important part of our daily digital communication. With the development of higher resolution contents and displays, its significant volume poses significant challenges to the goals of acquiring, transmitting, compressing and displaying high quality video content. In this paper, we propose a new deep learning video compression architecture that does not require motion estimation, which is the most expensive element of modern hybrid video compression codecs like H.264 and HEVC. Our framework exploits the regularities inherent to video motion, which we capture by using displaced frame differences as video representations to train the neural network. In addition, we propose a new space–time reconstruction network based on both an LSTM model and a UNet model, which we call LSTM-UNet. The combined network is able to efficiently capture both temporal and spatial video information, making it highly amenable for our purposes. The new video compression framework has three components: a Displacement Calculation Unit (DCU), a Displacement Compression Network (DCN), and a Frame Reconstruction Network (FRN), all of which are jointly optimized against a single perceptual loss function. The DCU removes the need for motion estimation found in hybrid codecs, and is less expensive. In the DCN, an RNN-based network is utilized to compress displaced frame differences as well as retain temporal information between frames. The LSTM-UNet is used in the FRN to learn space time differential representations of videos. Our experimental results show that our compression model, which we call the MOtionless VIdeo Codec (MOVI-Codec), learns how to efficiently compress videos without computing motion. Our experiments show that MOVI-Codec outperforms the Low-Delay P (LDP) veryfast setting of the video coding standard H.264 and exceeds the performance of the modern global standard HEVC codec, using the same setting, as measured by MS-SSIM, especially on higher resolution videos. In addition, our network outperforms the latest H.266 (VVC) codec at higher bitrates, when assessed using MS-SSIM, on high resolution videos. The MOVI-Codec project page can be found at https://github.com/Meixu-Chen/MOVI-Codec.

Differences in Perceptions of Non-face-to-face Liberal Arts Classes at Universities and their Effect on Satisfaction

In this study, implications for improving the quality of online education in the future were derived by identifying the factors affecting the educational status and class satisfaction of professors and students who have experienced non-face-to-face liberal arts classes at universities. For this purpose, 81 professors who have experience running non-face-to-face liberal arts classes and 560 current students who have taken such classes were the research subjects. As for the contents of the study, the learning experience, immersion, achievement, class satisfaction, continuing course intent, and supplementary points for the improvement of non-face-to-face education in the future were investigated.&lt;/br&gt;As a result of the survey analysis, first, there were statistically significant differences between professors and students regarding class content, evaluation, immersion, achievement, and class satisfaction of the learning experience. &lt;i&gt;appeared to have a positive perception (who appeared to have this perception?&lt;/i&gt;) Second, multiple regression analysis was performed for each professor and student to derive factors affecting overall satisfaction. As a result, in the case of instructors, factors that had a significant effect on class satisfaction were derived from achievement and interaction, and for students, this study confirmed that the degree of immersion, and interaction had a statistically significant effect. Third, as a complement to non-face-to-face liberal arts classes between professors and students, the professors demanded that the classes be conducted without interaction, whereas the students demanded improvement in the quality of video content. In this study, by synthesizing the above results, implications and follow-up studies were suggested for the improvement of non-face-to-face liberal arts classes in the future.

Content analysis and reliability of YouTube™videos on clear aligner

Objectives:The aim of the present study is to evaluate the accuracy and reliability of the information provided in the videos about the clear aligner on the Youtube video platform, an internet information source.Materials and Methods:A video search was performed on the Youtube video platform using three keywords determined with the Google Trends application. After the videos were ranked based on their view counts, a total of 75 videos were analyzed, 47 being the first for each term. After applying the exclusion criteria (repetitive content, no audio content or title information, irrelevant to the topic, only promotional content, duration over 15 min, and addressing other orthodontic treatments), the remaining 47 videos were evaluated. Regarding the videos, the following parameters were recorded: View count, number of likes, number of dislikes, number of comments, video duration, and days since the uploaded date. A scoring system consisting of seven parameters was used to classify the video content quality as low and high. The video information and quality index were utilized to evaluate the quality of the videos universally. Statistical analyses were performed with Stata/IC computer program using Shapiro–Wilks, Kruskall–Wallis, Mann–Whitney U, and linear regression (Backward method) tests. Statistical significance value was set atP&lt; 0.05.Results:Evaluation of the videos based on their upload source revealed that 27 videos were downloaded from individuals, ten videos from doctors and ten videos from commercial sources, and the number of subscribers to these sources varied significantly (P&lt; 0.05). Evaluation of the videos based on the information provided, revealed that 32 videos had poor quality, ten videos had moderate quality and five videos had good quality information content, and the video durations varied significantly (P&lt; 0.05). It was seen that of the 75 videos viewed, only 10 (13.3%) provided information of moderate-good quality. The number of likes was found to be the parameter that significantly affects the view count (P&lt; 0.05).Conclusion:YouTube videos prove insufficient as a source of information on orthodontic treatment with clear aligner. Health-care professionals should be aware of online platforms to ensure that patients can access accurate information.

The Content Quality of YouTube Videos for Professional Medical Education: A Systematic Review.

To evaluate the content quality of YouTube videos intended for professional medical education based on quality rating tool (QRT) scores and determine if video characteristics, engagement metrics, or author type are associated with quality. The authors searched 7 databases for English-language studies about the quality of YouTube videos intended for professional medical education from each database's inception through April 2019. To be included, studies had to be published in 2005 (when YouTube was created) or later. Studies were classified according to the type of QRT used: externally validated, internally validated, or limited global. Study information and video characteristics and engagement metrics were extracted. Videos were classified by video author type. Thirty-one studies were included in this review. Three studies used externally validated QRTs, 20 used internally validated QRTs, and 13 used limited global QRTs. Studies using externally validated QRTs had average scores/total possible scores of 1.3/4, 26/80, and 1.7/5. Among the 18 studies using internally validated QRTs, from which an average percentage of total possible QRT score could be computed or extracted, the average score was 44% (range: 9%-71%). Videos with academic-physician authors had higher internally validated QRT mean scores (46%) than those with nonacademic-physician or other authors (26%; P < .05). The authors found a wide variation in QRT scores of videos, with many low QRT scores. While videos authored by academic-physicians were of higher quality on average, their quality still varied significantly. Video characteristics and engagement metrics were found to be unreliable surrogate measures of video quality. A lack of unifying grading criteria for video content quality, poor search algorithm optimization, and insufficient peer review or controls on submitted videos likely contributed to the overall poor quality of YouTube videos that could be used for professional medical education.

Çocuklarda Genel Anestezi Altında Uygulanan Diş Tedavileri ile İlgili YouTube™ Videolarının İçerik Analizi

Amaç: Bu çalışmada YouTubeTM platformunda bulunan çocuklarda genel anestezi altında diş tedavisi ile ilgili videoların bilgi içeriği kalitelerini değerlendirilmesi amaçlanmıştır. Gereç ve Yöntemler: YouTubeTM video paylaşım sitesine “çocuklarda genel anestezi altında diş tedavisi” ve “genel anestezi altında diş tedavisi” terimleri girilerek tarama yapılmıştır. Arama sonucunda 113 video olduğu belirlenmiş ve hariç tutma kriterleri uygulandıktan sonra toplam 24 video değerlendirmeye alınmıştır. Her bir video tek bir araştırmacı tarafından izlenmiş ve bu videolara ait izlenme, beğenilme, beğenilmeme ve yorum sayıları, videonun süresi (dakika), videonun yüklendiği tarihten beri geçen gün ve video kaynağı bilgileri kaydedilmiştir. Video içerik kalitesinin sınıflandırılabilmesi için 8 parametreden oluşan bir puanlama sistemi kullanılmıştır. İstatistiksel değerlendirme için Kruskall Wallis testi, Mann-Whitney U testi ve Spearman korelasyon analizi kullanılmıştır. İstatistiksel anlamlılık değeri p&amp;lt;0,05 olarak alınmıştır. Bulgular: YouTubeTM platformunda yer alan çocuklarda genel anestezi altında diş tedavisi ile ilgili videoların 3412.83 ± 6082.48 defa izlendiği, 10.13 ± 14.38 defa beğenildiği, 0.96 ± 1.93 defa beğenilmediği ve bu videolara 3.79 ± 9.81 adet yorum yapıldığı belirlenmiştir. Tüm videolardan 11’inin zayıf kalitede bilgi içeriğine, 10’unun orta kalitede bilgi içeriğine ve 3’ünün iyi kalitede bilgi içeriğine sahip olduğu belirlenmiştir. İyi kalitede bilgi içeriğine sahip videoların video süresinin, beğenilme sayısının, izlenme oranı ve bilginin güvenilirliği skorlarının kötü kalitede bilgi içeriğine sahip videolardan anlamlı derecede yüksek olduğu (p&amp;lt;0,05) ancak orta kalitede bilgi içeriğine sahip videolar ile aralarında anlamlı farklılık olmadığı belirlenmiştir (p&amp;gt;0,05). Sonuç: Çocuklarda genel anestezi altında diş tedavisi ile ilgili YouTube ™ platformunda yer alan videolar bilgi sağlama yönünden yetersizdir. Bu nedenle hekimler ebeveynleri doğru ve güncel bilgileri edinebilmeleri için uygun ve profesyonel kaynaklara yönlendirmelidir.

Video Compression With CNN-Based Postprocessing

In recent years, video compression techniques have been significantly challenged by the rapidly increased demands associated with high quality and immersive video content. Among various compression tools, post-processing can be applied on reconstructed video content to mitigate visible compression artefacts and to enhance overall perceptual quality. Inspired by advances in deep learning, we propose a new CNN-based post-processing approach, which has been integrated with two state-of-the-art coding standards, VVC and AV1. The results show consistent coding gains on all tested sequences at various spatial resolutions, with average bit rate savings of 4.0% and 5.8% against original VVC and AV1 respectively (based on the assessment of PSNR). This network has also been trained with perceptually inspired loss functions, which have further improved reconstruction quality based on perceptual quality assessment (VMAF), with average coding gains of 13.9% over VVC and 10.5% against AV1.

A Survey on Video Streaming in Multipath and Multihomed Overlay Networks

The focus of this survey is to study the protocols, mechanisms, and the latest standards proposed in the literature for improving the performance and quality of video content in multipath and multihomed overlay networks. Multipath is a broader term, but in the context of this survey, we define multipath as enhancing network routing technique by using various paths that are not necessarily completely disjoint. Multipath can furnish a variety of advantages such as reliability,connection persistence, increased perceived throughput and load balancing. On the other hand, multihoming is the ability to use multiple network interfaces when connecting to the Internet to increase reliability, resilience, and performance. Most existing surveys are specialized in one specific domain area related to multipath or multihoming. This study covers the research proposals at the different layers/sublayers of an overlay network from transport to the application and extends to cover the latest technologies like machine learning, Fog and Mobile Edge computing, VR 360 video, and the Internet of Multimedia Things (IoMT). As such, our work tries to be as comprehensive as possible to relate multipath and multihoming research solutions for video streaming to the current and emerging video streaming technologies.

Application of Flipped Classroom in the Era of Big Data: What Factors Influence the Effect of Teacher‐Student Interaction in Oral English Teaching

Teachers now have a new teaching model to refer to with the emergence of the flipped classroom. The teacher‐student interaction is thought to be influenced by teaching mode as a key indicator of improving teaching efficiency. We develop a research model based on a literature review to explain the drawbacks of teacher‐student interaction in flipped classrooms with oral English instruction. SmartPLS software was used to analyze the survey data of 84 students from three classes. Emotional resistance has a significant negative impact on the effect of teacher‐student interaction in the flipped classroom, whereas learning autonomy and video content quality have a significant positive impact. Our research adds to the body of knowledge in the field of flipped classrooms and provides theoretical support for teachers in colleges and universities who want to use this teaching method.

YouTube Videos on Parkinson's Disease are a Relevant Source of Patient Information.

Parkinson's disease (PD) is the most frequent movement disorder. Patients access YouTube, one of the largest video databases in the world, to retrieve health-related information increasingly often. We aimed to identify high-quality publishers, so-called "channels" that can be recommended to patients. We hypothesized that the number of views and the number of uploaded videos were indicators for the quality of the information given by a video on PD. YouTube was searched for 8 combinations of search terms that included "Parkinson" in German. For each term, the first 100 search results were analyzed for source, date of upload, number of views, numbers of likes and dislikes, and comments. The view ratio (views / day) and the likes ratio (likes * 100 / [likes + dislikes]) were determined to calculate the video popularity index (VPI). The global quality score (GQS) and title - content consistency index (TCCI) were assessed in a subset of videos. Of 800 search results, 251 videos met the inclusion criteria. The number of views or the publisher category were not indicative of higher quality video content. The number of videos uploaded by a channel was the best indicator for the quality of video content. The quality of YouTube videos relevant for PD patients is increased in channels with a high number of videos on the topic. We identified three German channels that can be recommended to PD patients who prefer video over written content.

Channel Load Aware AP / Extender Selection in Home WiFi Networks Using IEEE 802.11k/v

Next-generation Home WiFi networks have to step forward in terms of performance. New applications such as on-line games, virtual reality or high quality video contents will further demand higher throughput levels, as well as low latency. Beyond physical (PHY) and medium access control (MAC) improvements, deploying multiple access points (APs) in a given area may significantly contribute to achieve those performance goals by simply improving average coverage and data rates. However, it opens a new challenge: to determine the best AP for each given station (STA). This article studies the achievable performance gains of using secondary APs, also called Extenders, in Home WiFi networks in terms of throughput and delay. To do that, we introduce a centralized, easily implementable channel load aware selection mechanism for WiFi networks that takes full advantage of IEEE 802.11k/v capabilities to collect data from STAs, and distribute association decisions accordingly. These decisions are completely computed in the AP (or, alternatively, in an external network controller) based on an AP selection decision metric that, in addition to RSSI, also takes into account the load of both access and backhaul wireless links for each potential STA-AP/Extender connection. Performance evaluation of the proposed channel load aware AP and Extender selection mechanism has been first conducted in a purpose-built simulator, resulting in an overall improvement of the main analyzed metrics (throughput and delay) and the ability to serve, at least, 35% more traffic while keeping the network uncongested when compared to the traditional RSSI-based WiFi association. This trend was confirmed when the channel load aware mechanism was tested in a real deployment, where STAs were associated to the indicated AP/Extender and total throughput was increased by 77.12%.

골프 동영상 콘텐츠품질과 즐거움, 만족, 행동의도 간 관계검증

골프 동영상 콘텐츠품질과 즐거움, 만족, 행동의도 간 관계검증

Assessing YouTube as an Educational Tool for Shingles: Cross-Sectional Study

Background YouTube is a popular platform with many videos, which have potential educational value for medical students. Due to the lack of peer review, other surrogates are necessary to determine the content quality of such educational videos. Few studies have analyzed the research background or academic affiliation of the physicians associated with the production of YouTube videos for medical education. The research background or academic affiliations of those physicians may be a reflection of the content quality of these educational videos. Objective This study identifies physicians associated with the production of educational YouTube videos about shingles and analyzes those physicians based on their research background or academic affiliation, which may be good surrogates for video content quality. Methods Using the YouTube search engine with default settings, the term “shingles” was searched on May 8, 2020. A cross-sectional study was performed using the first 50 search results. A search on Scopus for each identified physician was performed, and data regarding their research background and academic affiliation were recorded. Results Of the 50 YouTube videos, 35 (70%) were categorized as academic. Of the 35 academic videos, 24 (71%) videos featured physicians, totaling 25 physicians overall. Out of these 25 physicians, 5 (20%) had at least 1 shingles-related publication and 8 (32%) had an h-index &gt;10. A total of 21 (84%) physicians held an academic affiliation. Conclusions These results ensure to a certain degree the quality of the content in academic videos on YouTube for medical education. However, further evaluation is needed for this growing platform.