High-quality Information Research Articles

Is YouTube a reliable source of information for temporomandibular joint ankylosis?

In the digital era, the internet is the go-to source of information, and patients often seek insights on medical conditions like TMJ ankylosis. YouTube, a popular platform, is widely used for this purpose. However, YouTube's lack of regulation means it can host unreliable content. Hence, the primary objective of this study is to assess the scientific quality of YouTube videos concerning TMJ ankylosis. This study analyzed 59 TMJ ankylosis-related videos. Two Oral and Maxillofacial Surgery specialists assessed these videos. Data on the video source, duration, upload date, the time elapsed since upload, total views, likes, dislikes and comments, Interaction index, and viewing rate were collected and analyzed. Video quality was assessed using the Global Quality Scale (GQS) and the Quality Criteria for Consumer Health Information (DISCERN), comparing health professionals and non-health professionals. Health professional's videos were better in terms of GQS 3.21 ± 0.94 and DISCERN score 3.03 ± 0.75 as compared to the non-health professional videos GQS 3.0 ± 1.04, and DISCERN 2.81 ± 1.13. Health professional group videos had more reliability and better quality than the non-health professional group (p < 0.01). YouTube should not be relied on as a trustworthy source for high-quality and reliable information regarding TMJ ankylosis videos. Healthcare professionals must be prepared to address any ambiguous or misleading information and to prioritize building trustworthy relationships with patients through accurate diagnostic and therapeutic processes.

Artificial Intelligence as a Consent Aid for Carpal Tunnel Release.

Background Hand surgeons have been charged with the use of diverse modalities to enhance the consenting process following the Montgomery ruling. Artificial Intelligence language models have been suggested as patient education tools that may aid consent. Methods We compared the quality and readability of the Every Informed Decision Online (EIDO) patient information leaflet for carpal tunnel release with the artificial intelligence language model Chat Generative Pretrained Transformer (GPT). Results The quality of information by ChatGPT was significantly higher using the DISCERN score, 71/80 for ChatGPT compared to 62/80 for EIDO (p=0.014). DISCERN interrater observer reliability was high (0.65) using the kappa statistic. Flesch-Kincaid readability scoring was 12.3 for ChatGPT and 7.5 for EIDO, suggesting a more complex reading age for the ChatGPT information. Conclusion The artificial intelligence language model ChatGPT produces high-quality information at the expense of readability when compared to EIDO information leaflets for carpal tunnel release consent.

Role of Information and Communication Technology in Islamic Education: Challenges and Opportunities

In this paper, the role of information and communication technology (ICT) in Islamic education is analyzed with an emphasis on the challenges and opportunities it presents. ICT can increase access to Islamic knowledge, improve teaching methods, and encourage participatory learning. It is necessary to handle issues including restricted infrastructure, the requirement to maintain high-quality Islamic material online, and cultural and religious sensitivity in online learning settings. ICT presents several opportunities for Islamic education, including the use of multimedia and interactive tools for teaching Islamic concepts, facilitating global reach and accessibility through online platforms, and fostering collaboration and knowledge-sharing among educators and scholars. To evaluate the effect of ICT on Islamic education, qualitative research using content analysis was carried out. The results draw attention to issues including the limitations of ICT infrastructure, the need for high-quality online information, the necessity of good ICT training for teachers, and cultural and religious considerations. ICT also offers chances for improved Quranic study, worldwide cooperation, ongoing learning outside of the classroom, and expanded access to Islamic information. In order to use ICT to enhance Islamic education, this study intends to provide useful insights for educational practitioners and policymakers.

Communicative competence of generative artificial intelligence in responding to patient queries about colorectal cancer surgery

PurposeTo examine the ability of generative artificial intelligence (GAI) to answer patients’ questions regarding colorectal cancer (CRC).MethodsTen clinically relevant questions about CRC were selected from top-rated hospitals’ websites and patient surveys and presented to three GAI tools (Chatbot Generative Pre-Trained Transformer [GPT-4], Google Bard, and CLOVA X). Their responses were compared with answers from the CRC information book. Response evaluation was performed by two groups, each consisting of five healthcare professionals (HCP) and patients. Each question was scored on a 1–5 Likert scale based on four evaluation criteria (maximum score, 20 points/question).ResultsIn an analysis including only HCPs, the information book scored 11.8 ± 1.2, GPT-4 scored 13.5 ± 1.1, Google Bard scored 11.5 ± 0.7, and CLOVA X scored 12.2 ± 1.4 (P = 0.001). The score of GPT-4 was significantly higher than those of the information book (P = 0.020) and Google Bard (P = 0.001). In an analysis including only patients, the information book scored 14.1 ± 1.4, GPT-4 scored 15.2 ± 1.8, Google Bard scored 15.5 ± 1.8, and CLOVA X scored 14.4 ± 1.8, without significant differences (P = 0.234). When both groups of evaluators were included, the information book scored 13.0 ± 0.9, GPT-4 scored 14.4 ± 1.2, Google Bard scored 13.5 ± 1.0, and CLOVA X scored 13.3 ± 1.5 (P = 0.070).ConclusionThe three GAIs demonstrated similar or better communicative competence than the information book regarding questions related to CRC surgery in Korean. If high-quality medical information provided by GAI is supervised properly by HCPs and published as an information book, it could be helpful for patients to obtain accurate information and make informed decisions.

Exploring patients' needs and expectations for information on sexual dysfunction after rectal cancer treatment: A qualitative study.

Sexual dysfunction is an important, and often overlooked, sequela of rectal cancer treatment with significant implications for patients' quality of life. The aim of this study was to explore patients' information needs regarding sexual health after rectal cancer treatment and their experiences accessing information on sexual dysfunction throughout the cancer care continuum. The secondary aim was to explore surgeons' perspectives on patients' information needs and gain insight into their experiences providing information on sexual health following rectal cancer surgery. A qualitative study was conducted using semistructured interviews with 10 rectal cancer survivors and six colorectal surgeons from a Canadian tertiary care institution. Transcribed interviews were coded independently by two researchers and thematic analysis was performed. Analysis of patient interviews revealed that patients had limited knowledge of sexual dysfunction symptoms following rectal cancer treatment and received inadequate information on sexual dysfunction from their treating medical team. Patients expressed the desire to receive information on sexual dysfunction in different formats, especially before the start of treatment. The surgeon interviews revealed that colorectal surgeons faced challenges when informing patients about sexual dysfunction. Surgeons did not routinely provide information on sexual dysfunction to all patients; however, they felt that patients should receive high-quality information on sexual dysfunction, both before and after treatment. Patients' information needs related to sexual dysfunction after rectal cancer treatment were inadequately met. High-quality informational resources are needed to facilitate communication between patients and physicians and improve patients' understanding of sexual dysfunction.

Photochromic ionogel with a wide temperature range and fatigue resistance for high-resolution rewritable information record

Recently, photochromic hydrogels have received significant attention and hold substantial promise for rewritable information record. However, the intrinsic instability of hydrogels has restricted their applications. Herein, a photochromic ionogel aiming at extending service life for long-term use is presented by embedding photochromic ammonium molybdate tetrahydrate [(NH4)6Mo7O24·4H2O] (Mo7) in engineered double networks. Covalently cross-linked 2-hydroxyethyl acrylate (HEA) and self-assembled cationic cellulose (JR-400) constitute the networks, and a protic ionic liquid of ethylammonium nitrate (EAN) is immobilized therein. Such a design affords the ionogel comprehensive properties, including high optical transparency (>97%), good adhesion, anti-dehydration, wide operating temperature range (–60 to 150 °C) as well as the sensitive and stable UV-light responsiveness (within 30 s). Besides, the ionogel exhibits admirable mechanical properties of high toughness (over 180 kJ/m3), excellent resilience and a high fatigue threshold (over 1000 cycles with negligible hysteresis). The photochromic process is typically accomplished by photoreduction of Mo7, which is combined with network through electrostatic interaction with quaternized JR-400. The distinctive feature is that EAN serving as both proton donor and electron donor, plays a dominant role in coloration process and formation of charge-transfer complex. The photochromic mechanism which is less well understood in ionic liquid medium, has been revealed. Remarkably, the ionogel used as an information carrier exhibits outstanding stability in a wide operating temperature range. The superiorities of the photochromic ionogel including accurate information recording capacity and application in harsh environments have greatly boosted the high-quality information dissemination and expanded applications of photochromic soft materials.

SwissGenVar: A Platform for Clinical-Grade Interpretation of Genetic Variants to Foster Personalized Healthcare in Switzerland

Large-scale next-generation sequencing (NGS) germline testing is technically feasible today, but variant interpretation represents a major bottleneck in analysis workflows. This includes extensive variant prioritization, annotation, and time-consuming evidence curation. The scale of the interpretation problem is massive, and variants of uncertain significance (VUSs) are a challenge to personalized medicine. This challenge is further compounded by the complexity and heterogeneity of the standards used to describe genetic variants and the associated phenotypes when searching for relevant information to support clinical decision making. To address this, all five Swiss academic institutions for Medical Genetics joined forces with the Swiss Institute of Bioinformatics (SIB) to create SwissGenVar as a user-friendly nationwide repository and sharing platform for genetic variant data generated during routine diagnostic procedures and research sequencing projects. Its aim is to provide a protected environment for expert evidence sharing about individual variants to harmonize and upscale their significance interpretation at the clinical grade according to international standards. To corroborate the clinical assessment, the variant-related data will be combined with consented high-quality clinical information. Broader visibility will be achieved by interfacing with international databases, thus supporting global initiatives in personalized healthcare.

Low-light wheat image enhancement using an explicit inter-channel sparse transformer

Low-light image enhancement poses a significant challenge in agricultural settings, particularly for time-series captured wheat images. The use of time-series captured image data can improve the accuracy of wheat yield prediction by analyzing the growth status and characteristics of wheat. Given the difficulty of capturing paired wheat images in various lighting conditions, a method based on the Global Wheat Head Detection (GWHD) dataset is presented to synthesize pairs of low-light/normal-light wheat images. This approach expands to create a new dataset, LN-GWHD, specifically for the task of enhancing wheat images in low-light conditions. Importantly, it enables a more extensive evaluation of wheat image restoration tasks and performance accuracy under more controlled and diverse conditions. It is worth noting that this method can be extended to a wide range of scenarios for the enhancement of low-light situations. Where low-light conditions are common due to various factors such as weather, existing methods based on the transformer architecture have achieved state-of-the-art (SOTA) enhancement performance by capturing relationships between low-light feature channels. However, these approaches perform the similarity computation on all tokens and may introduce redundant features, limiting their ability to focus on critical information for high-quality image reconstruction. To recover more high-quality wheat image information, the explicit inter-channel sparse transformer (EIST) network is proposed, which is specifically designed to recover wheat images under low-light conditions. EIST comprises multiple blocks, each featuring explicit sparse top-k attention (ESTA) and bilateral gated feed-forward network (BGFN). ESTA dynamically selects the most critical information by focusing on the top-k key labels in each query, while BGFN enhances valid information interaction through re-double filtering. The overall architecture employs transformers to learn correlations and features between different image channels, resulting in noise reduction, detail enhancement, and improved clarity. Additionally, the Fourier spectrum loss is introduced to constrain the image reconstruction in the frequency domain, allowing more detailed information to be recovered. Extensive experiments on the LN-GWHD datasets demonstrate that EIST surpasses SOTA methods. Furthermore, our approach achieves superior results in detecting low-light wheat ears during back-end evaluation.

Pencegahan Perundungan Masyarakat Terhadap Disabilitas

Bullying, especially against individuals with disabilities, is a social issue that cuts across multiple spheres of life. Disability is often a source of inequality and discrimination, with vulnerable individuals being subjected to insensitive and harmful treatment. To create an inclusive and equitable environment, it is important for society to understand and prevent bullying of individuals with disabilities through awareness-raising and concrete actions.The literature review method used in the research on preventing bullying of individuals with disabilities is that this approach allows for the collection of relevant and high-quality information. By identifying the topic, conducting a source search, selecting sources based on inclusion criteria, analyzing the sources, and drafting the report, the researcher can produce a comprehensive and in-depth report on the topic. that a good understanding of disability, strong legal protection, an inclusive environment, and the involvement of all parties in society are key in preventing bullying of individuals with disabilities.

Learned Video Compression with Adaptive Temporal Prior and Decoded Motion-aided Quality Enhancement

Learned video compression has drawn great attention and shown promising compression performance recently. In this article, we focus on the two components in the learned video compression framework, the conditional entropy model and quality enhancement module, to improve compression performance. Specifically, we propose an adaptive spatial-temporal entropy model for image, motion, and residual compression, which introduces a temporal prior to reduce temporal redundancy of latents and an additional modulated mask to evaluate the similarity and perform refinement. In addition, a quality enhancement module is proposed for predicted frame and reconstructed frame to improve frame quality and reduce the bitrate cost of residual coding. The module reuses decoded optical flow as a motion prior and utilizes deformable convolution to mine high-quality information from the reference frame in a bit-free manner. The two proposed coding tools are integrated into a pixel-domain residual coding–based compression framework to evaluate their effectiveness. Experimental results demonstrate that our framework achieves competitive compression performance in the low-delay scenario compared with recent learning-based methods and traditional H.265/HEVC in terms of Peak Signal-to-Noise Ratio (PSNR) and Multi-Scale Structural Similarity Index (MS-SSIM). The code is available at OpenLVC.

Reducing fraud in organizations through information security policy compliance: An information security controls perspective

As more business processes and information assets are digitized, computer resources are increasingly being misused to perpetrate fraudulent activities. Research shows that fraud committed by (or with) trusted insiders (called occupational fraud or internal organizational fraud) is responsible for significantly more damage than that committed by external actors (for example, cyber fraud). Current fraud research has primarily focused on the person perpetuating the fraud instead of the internal mechanisms organizations can employ in reducing fraud. The study examines the relationship between compliance with organizations' technology controls (primarily focused on information security) and its impact on computer-based occupational fraud. Based on general deterrence and fraud triangle theories, the study proposes information security control proficiency (ISCP) modeled as an integration of the quality of information security policy and its enforcement as a key factor that influences information security policy compliance. We further postulate that compliance with information security policy mediates the relationship between information security control proficiency and computer-based-occupational fraud. Empirical assessment supports the structure of the information security control proficiency construct. Model testing shows that information security control proficiency positively impacts information security policy compliance, which further deters the use of a company's computer systems and resources to conduct fraudulent activities. Thus, if an organization establishes high-quality information security policies and supports the policies with effective enforcement, it correspondingly leads to better compliance. Furthermore, less fraud is committed when compliance with information security controls is high. We offer various managerial implications and future research extension ideas.

Creditor Protection and Enterprise Earnings Management —A Test Based on Bond Covenants

ABSTRACT Excessive earnings management can significantly reduce the quality of accounting information, consequently harming the interests of investors and creditors. In the Chinese market, research on earnings management focuses primarily on corporate governance and external environmental viewpoints, with limited literature addressing debt governance. This paper centers on exploring the protective impact of bond covenants, revealing their inhibitory effect on both accrual and real earnings management through two potential mechanisms (agency conflicts and risk-taking). Furthermore, this study conducts a heterogeneous analysis from various perspectives, identifying how bond covenants influence earnings management in different ways and underscoring the moderating role played by underwriters. The findings offer theoretical insights for the development of a high-quality information disclosure system.

Social media has become a mainstream source of medical information for patients with rheumatic diseases: a cross-sectional survey of patients.

This study analyzed the status of medical information acquisition through social media (SM) and its impact on healthcare utilization among patients with rheumatic diseases (RDs) who visited the rheumatology department of a tertiary hospital. We consecutively evaluated 102 patients with RDs in this single-center cross-sectional survey. Using a face-to-face survey, patients were asked about the sources they used to acquire medical information, factors influencing their visits to tertiary hospitals, and the potential impact of acquiring medical information on RDs through SM. SM refers to YouTube, Facebook, Instagram, Kakao Channel, Naver Band, and X. The mean age was 42.3 years and 39% were female. The most common disease was ankylosing spondylitis (45.1%), followed by rheumatoid arthritis (20.6%). The most frequent method for acquiring medical information regarding RDs, except for rheumatologists, was internet portal sites (47.8%), followed by SM (40.2%). The most important factor influencing the decision to visit a tertiary hospital was medical doctors (51%); only 1% of the patients responded that SM was the most crucial factor in determining their visit. Most patients (77.5%) responded that acquiring medical information through SM would help them manage their diseases. Our data revealed that a substantial proportion of patients with RDs obtained medical information through SM. However, the impact of SM on visiting a tertiary hospital was minimal, suggesting that SM has become a mainstream source of medical information, yet the reliability of SM remains relatively low. Rheumatology societies should establish SM platforms capable of providing high-quality medical information.

Evaluating the web as a source of information for patients with chest wall deformities: insights into engagement and disparities.

Recent data highlight the internet's pivotal role as the primary information source for patients. In this study, we emulate a patient's/caregiver's quest for online information concerning chest deformities and assess the quality of available information. We conducted an internet search using combination of the terms "pectus excavatum," "pectus excavatum surgery," "funnel chest," "pectus excavatum repair" and identified the first 100 relevant websites from the three most popular search engines: Google, Yahoo, and Bing. These websites were evaluated using the modified Ensuring Quality Information for Patients (EQIP) instrument. Of the 300 websites generated, 140 (46.7%) were included in our evaluation after elimination of duplicates, non-English websites, and those targeting medical professionals. The EQIP scores in the final sample ranged from 8 to 32/36, with a median score of 22. Most of the evaluated websites (32.8%) originated from hospitals, yet none met all 36 EQIP criteria. None of the evaluated websites pertaining to pectus excavatum achieved a flawless "content quality" score. The diverse array of websites potentially complicates patients' efforts to navigate toward high-quality resources. Barriers in accessing high-quality online patient information may contribute to disparities in referral, patient engagement, treatment satisfaction, and overall quality of life. IV.

Digital visibility and competitive edge: Analyzing the impact of territorial marketing on regional competitiveness

This study explores the relationship between territorial marketing and branding and a country's regional competitiveness and aims to assess the impact of marketing strategies and policies of cities and territories on that regional competitiveness. Two hypotheses are examined. The first hypothesis suggests that improving a city's visibility on the Internet attracts tourists and foreign investors. The second hypothesis highlights the importance of high-quality information content on city websites to enhance competitiveness. The study conducts a comprehensive analysis of European countries to evaluate the impact of territorial marketing on competitiveness. This includes correlation analysis of competitiveness indices, analysis of Google Trends search queries to identify city name search trends, and content analysis of city websites to assess marketing quality. The findings reveal that cities with rich historical and cultural attractions are gaining popularity online, consequently increasing their competitiveness in both the tourism and investment sectors.

Remote sensing-based estimation of precipitation data (2000-2015) in Ecuador's Loja province

The primary climatic parameter frequently scrutinized in water balance assessments for water utilization is precipitation. Given its considerable variability across locations and over time, it is imperative to rely on high-quality statistical information to facilitate accurate analyses. This study aims to refine the estimation of precipitation data by enhancing information obtained from freely accessible satellite sensors with data collected from established observation stations. Monthly precipitation data spanning from 2000 to 2015 were gathered from 24 stations. Three distinct methodologies were employed to adjust individual station data to address missing data. Consistency analysis and data refinement were conducted for stations requiring adjustments, utilizing graphical analysis and non-parametric statistical techniques. The satellite products under evaluation correspond to the IMERG v6 algorithm. Subsequently, statistical metrics were used to compare observed and estimated data. A correction coefficient was computed by aligning monthly means between observed and calculated data to mitigate random and systemic errors. The IMERG algorithm demonstrates proficiency in accounting for altitude and seasonal variations, with the adjustment significantly enhancing its performance under these conditions.

Multi-institutional validation survey on Belong.life's conversational artificial intelligence (AI) oncology mentor, "Dave.

e13596 Background: Belong.life, a global oncology social network for patients and caregivers, recently launched “Dave” the first conversational AI oncology mentor and companion. “Dave’s” objectives are to provide uninterrupted support, clarify relevant clinical issues and guide patients and caregivers with relevant and empathetic information and education in all aspects of cancer, from diagnosis to treatment protocols and side effects management. “Dave” underwent training on Belong’s unique and large datasets of patients to physicians, and patients to patients’ interactions, as well as incorporating high quality information from the latest international cancer guidelines, providing it with a robust up-to-date supportive data and a wide understanding of the patients’ cancer journey. Methods: “Dave’s” responses to inquiries from Belong members were subjected to a validation survey conducted by eight oncologists, each specializing in various solid and haematological cancers and affiliated with several medical institutions. From the social network datasets, 471 questions from patients and caregivers were randomly selected and categorized into groups, including Breast, Gastrointestinal and Pancreatic, Genito-urinary, Bone, Haematological cancers, and Radiation therapy. The oncologists assessed the AI mentor's replies for their relevance and helpfulness, aligning them with evidence-based medicine, current recommendations, and guidelines. Results: Results were categorized into positive or negative assessments. Impressively, 432 out of 471 “Dave’s” responses (91.8%) received positive validation for providing suitable and relevant recommendations. Conversely, 39/471 responses (8.2%) received a negative validation, of which only 5/471 (1%) were graded as not at all helpful or relevant. Minor variations were observed within diagnostic groups, with positive validation rates as follows: Genito-urinary 100%, Breast 98.4%, Musculoskeletal 97%, Radiation therapy 88%, Gastrointestinal and Pancreatic 86%, and Haematological cancers 84%. Conclusions: The documented results on 471 patients’ posts are very promising, indicating that “Dave” provides valuable and reliable recommendations, achieving a positive validation rate of nearly 92%, with only 1% graded as not at all helpful or relevant. The findings also offer insights into the AI mentor's performance across distinct medical domains. This validation study provides a solid foundation and adds confirmation that the addition of an AI oncology mentor and companion, like “Dave”, improves patients’ knowledge and coping mechanisms and provides helpful and relevant guidance during their cancer journey, while supporting physicians in the daily management of their cancer patients.

Analysis of Information Security Under the Conditions of Hybrid War in Ukraine: Social Aspects

Abstract The development of the post-industrial society requires the acceleration of the integration of the national economy into the globalized economic space. This stage is characterized by active informatization of all spheres of life in society, which requires information security and cyber protection for high-quality information provision of the country’s population, intellectualization of economic processes and prevention of destructive informational influence on the social status of the individual. It is also necessary to consider that for Ukraine the specified stage is complicated by the hybrid war with Russia, which requires strengthening the protection of information from cyber-attacks and the formation of new approaches in preserving the quality of information on social networks. Therefore, the purpose of this article is the development of scientific and methodological approaches in information security management, strengthening its social significance. This requires solving a certain range of tasks of identifying and preventing socially dangerous information based on the use of economic and mathematical methods and models. The article highlights the main directions of socialization of modern technological development and theoretically substantiates its significant impact on human consciousness and behavior, puts a person in front of serious challenges and, under conditions of hybrid warfare, requires strengthening of information security in social networks. In the work, the components of information security are supplemented, its impact on social aspects of society’s life is highlighted. As a result of the research, the authors proposed a scientific and methodical approach to the construction of a system for countering the spread of socially dangerous information in social networks. Besides, its functional elements are highlighted. A method of combating the spread of harmful information in social networks has been developed, which solves the problem of information support of the decision-making process and includes providing the chosen and alternative options to the person making the decision, with the justification of the choice. This creates prerequisites for information support for making a well-founded management decision.

Features of building communication with international students using modern online media

This article explores the influence of online media on the process of adaptation of foreign students in educational institutions. The study was carried out in relation to the Peoples' Friendship University of Russia and some other universities of the Russian Federation that actively use international educational and academic exchange. The authors analyze the main barriers students face when transitioning to a new learning environment, such as cultural, linguistic and academic differences. The authors of the article discuss the role of online media in overcoming these barriers, emphasizing their importance in the process of exchanging information, developing communication skills in a foreign language, and creating trusting relationships. The contribution of online media to the integration of different cultures and traditions is considered, which contributes to the formation of cultural understanding, tolerance and respect for the diversity of worldviews in the educational environment. An analysis is made of how students use online resources to obtain additional information, develop relevant skills and deepen their knowledge, as well as an analysis of existing research on the topic of adaptation of foreign students and the role of online media in education. In addition, the article covers the following subtopics. Features of collecting data on the experience of foreign students and their use of online media. Conducting interviews with foreign students, teachers, and university administrations to obtain high-quality information about adaptation problems and the role of perception of Internet resources and their impact on the adaptation process. The novelty of this study lies in the following characteristics of the work performed. Focuses were made on a specific university or region. The specifics of different groups of students were taken into account. The analysis was carried out taking into account how online media is used by students from different countries, with different language levels, different specialties, etc. The influence of specific types of online media was studied: for example, social networks, educational platforms, chatbots, specialized applications for international students. The analysis of the influence of online media was explicit on various aspects of adaptation through such sections as academic performance, psychological well-being, social integration, cultural adaptation and others. The project ends with a presentation of recommendations developed by the authors of the article on the use of online media to increase the effectiveness of adaptation of foreign students in other countries or universities around the world.

YouTube™ Videos as a Source of Information on Necrotizing Gingivitis: A Content-Quality Analysis.

Background This study aimsto evaluate the quality, reliability, and content of the information provided in YouTube™ videos on necrotizing gingivitis (NG), demonstrate the effectiveness of the videos for patients, and help dentists use this platform as a resource to properly guide their patients. Methodology This cross-sectional study was conducted by two experienced periodontologists. They began the study by searching for YouTube™ videos using the keywords "necrotizing gingivitis" and "trench mouth."Descriptive parameters such as the source of upload, country of origin, duration, upload date, number of likes, dislikes, views, and comments were evaluated. After this initial evaluation, the viewing rate and interaction index were calculated. Videos were categorized into high content (HC) and low content (LC) based on a 7-point scale. The quality of video content was assessed using the Global Quality Scale (GQS) and the Video Information and Quality Index (VIQI). The data were analyzed using various statistical tests, with a significance level set at p<0.05. Results Initially, 148 videos were screened, and 50 videos on NG that met the inclusion criteria were included in the study. Out of the 50 videos, 28 (56%) were uploaded by healthcare professionals. Overall, 68% of videos (n=34) were classified as HCand 32% (n=16) as LC. The most common topic was clinical symptoms and signs of NG, with 86% (n=43), while NG prevention was the least common topic, with 26% (n=13). Statistically significant differences were found between video duration, time since upload, and VIQI scores according to TCS scores (p<0.05). Video duration and VIQI scores were higher for HC videos compared to LC videos. The time since upload for LC videos was higher than for HC videos. Positive correlations were observed between TCS scores, video duration, and VIQI, as well as between GQS scores, video duration, viewing rate, and VIQI. Conclusions The majority of NG videos on YouTube™ are useful and comprehensive, but their number is insufficient. Poor-quality and inadequate videos may mislead practitioners and patients. However, this also presents an opportunity for healthcare professionals to leverage YouTube™ as an educational tool. Periodontologists should upload more comprehensive videos and play a more active role in providing high-quality information.