Search Keywords Research Articles

The Role of Drug Swallowing Supervisors (PMO) in Improving Tuberculosis Treatment Adherence: A Literature Review

Tuberculosis (TB) is an infectious disease caused by the bacterium Mycobacterium tuberculosis, which can attack all organs, especially the lungs. Tuberculosis remains the world's deadliest infectious disease, with more than 9 million infections and 1.7 million deaths per year. If not treated or managed correctly, this disease can lead to serious consequences and even death. The purpose of this literature review is to obtain an overview of the relationship between drug-taking supervisors (PMO) and the level of adherence to treatment visits in pulmonary TB patients from various perspectives and various similar studies. The research method used in this study is a literature review, which includes an analysis of 8 articles obtained from three databases: ProQuest, Science Direct, and Google Scholar. The search keywords used for article retrieval included "drug-taking supervisors or drug swallowing supervisor or PMO," "Tuberculosis or TB or TBC," and "drug adherence," using "AND" and "OR" as Boolean operators. Treatment monitoring is the main focus in supporting the success of pulmonary TB patients in the recovery period. Based on the findings of a review of 8 literature journals, there was an increase in recovery when supervisors took medication because the risk of forgetting during treatment visits was reduced, and the fear of PMO was reduced, causing pulmonary TB patients/patients to more regularly visit the nearest health facility that has been approved for treatment provided. Therefore, the drug-taking supervisor (PMO) on adherence to treatment visits is very important in breaking the cycle of pulmonary TB in the community.

Study on duration of symptoms of anal fissure and its impact on response to conservative treatment – A systemic review

Conservative treatment is the main course of action for anal fissure. The goal of this review was to see how symptom duration affected the anal fissure's responsiveness to conservative treatment.In this systematic review, We evaluated the duration of symptoms related to anal fissure as well as their effect on the response to conservative treatment. The study was done by referring journals and articles from PUBMED, Scopus, web of science and Elsevier for a systemic review and references for additional studies. All the articles and literature other than in English language are excluded. Atypical fissures which occur due to conditions like cancer, anal infection and inflammatory bowel disease are excluded. The key search words used are Anal fissure , Fissure in anal and conservative treatment, symptoms of anal fissure , Anal fissure and Glycery l Tri Nitrate (GTN), Anal fissure and Botox, Anal fissure and pathophysiology, Anal fissure and calcium channel Blockers, classification of anal fissure. A total yielded 1048 articles on initial search; first 614 duplicate publications were removed. After screening additional 467 articles were excluded and 147 full articles were assessed for the study. After performing complete screening data analysis of total 14 literature were involved in this present systematic review.This Systemic review can be concluded by the above mentioned finding that if symptom duration is less or in other words in acute anal fissures conservative treatment methods can work very effectively especially with GTN. However, as the duration of symptoms exceed the healing rate decreases attributing to the chronicity of the anal fissures. This renders the conservative treatment modalities less effective and making surgical treatment alternatives like Lateral internal sphincterotomy (LIS) the mainstay for chronic anal fissure.

Effects of mind-body exercise on individuals with ADHD: a systematic review and meta-analysis

ObjectiveTo explore the effects of mind-body exercise (MBE) on ADHD through a systematic review and meta-analysis.MethodsAfter identifying relevant search keywords based on the study’s technical terminology, research articles were retrieved from five databases. Two researchers independently screened the results to select studies that met the inclusion criteria. A random-effects model was used to conduct a meta-analysis on the included studies.ResultsThe findings indicate that MBE interventions significantly improved attention in individuals with ADHD [SMD=-0.97, 95% CI (-1.56, -0.39), P < 0.05]. However, the meta-analysis found no evidence that MBE improved executive function, emotional issues, or hyperactivity/impulsivity in ADHD patients.ConclusionsMBE is beneficial for attention improvement in ADHD patients. However, further evidence is needed to support its efficacy as an adjunctive treatment for other symptoms.Systematic review registrationhttps://www.crd.york.ac.uk/prospero, identifier CRD42023447510.

AN EXAMINATION OF THE IMPLEMENTATION OF INTERNET OF THINGS IN HEALTHCARE UTILIZING SMARTWATCHES

Background: Smartwatches can use sensors to collect and send data to medical teams and family members through the platform of the Internet of things (IoT). The data are first analysed on the platform and the final results are used by the medical team. Aims: This paper reviews and categorises studies conducted in the field of the Internet of things based on smartwatches. Methods: The covered papers have been published over 13 years from 2010 to 2022. The search yielded 227 papers out of which 43 papers were reviewed after screening. The search keywords were “wearables, internet of things, smartwatches, smart bracelet, healthcare, and disease”. The search covered databases including PubMed, ScienceDirect, and IEEE. Results: Smartwatches are used in three fields of healthcare, including palliative care, speech therapy, diagnosis, disease prevention, rehabilitation, and health improvement. Conclusion: Smartwatches are not free of drawbacks and have not received the attention they deserve in the healthcare field. Given the potential of smartwatches, they can be useful in the health sector. Keywords: Disease, IOT, Smartwatch, Wearable

TikTok and frozen shoulder: a cross-sectional study of social media content quality

PurposeThis study aimed to assess the validity and informational value of the material provided on TikTok regarding frozen shoulders. The hypothesis was that the video content on this platform would not provide adequate and valid information.MethodsThe current study focused on frozen shoulder videos on the TikTok social media platform. The terms “frozen shoulder” and/or “adhesive capsulitis” were used as keywords for an extensive online search of video content on TikTok, and the first 100 videos were included. Out-of-topic, non-English, and duplicated videos were excluded from the analysis. The duration and numbers of likes, shares, and views were recorded for each video. Further, videos were categorized based on the source (physiotherapist/osteopath, medical doctor, or private user), type of information (physical therapy, etiopathogenesis, anatomy, clinical examination, patient experience, or symptoms), video content (rehabilitation, education, or patient experience/testimony), and the presence of music or a voice. The assessment of the video content’s quality and reliability was performed by two experienced shoulder surgeons using the DISCERN instrument, the Journal of the American Medical Association (JAMA) benchmark criteria, and the Global Quality Score (GQS).ResultsA total of 100 videos were included in the analysis, of which 86 (86.0%) were published by physiotherapists/osteopaths. Most of the information and video content focused on physical therapy and rehabilitation (83.0% and 84.0%, respectively). Eighty-four (84.0%) videos included voice comments, while the remaining featured music. The mean number of views was 2,142,215.32 ± 6,148,794.63, while the mean numbers of likes, comments, and shares were 58,438.67 ± 201,863.54, 550.81 ± 1712.22, and 3327.43 ± 7320.81, respectively. The mean video duration was 110.20 ± 116.43 s. The mean DISCERN score, JAMA score, and GQS were 16.17 ± 2.36, 0.61 ± 0.51, and 1.18 ± 0.41, respectively. Videos posted by medical doctors or private users received higher scores than those posted by physiotherapists/osteopaths (p < 0.05).ConclusionsThe educational value of videos published on TikTok was poor; videos posted by medical doctors exhibited better quality and educational value than those of physiotherapists or osteopaths. It is the responsibility of orthopedic surgeons to investigate the potential benefits, consequences, and implications of TikTok video content for the health of frozen shoulder patients and to propose necessary adjustments. Given the rapid growth of TikTok, further research is needed.Level of evidenceLevel IV—cross-sectional study.

Privacy-preserving verifiable fuzzy phrase search over cloud-based data

Today, cloud computing plays an increasingly important role in cloud-based data processing systems. Privacy-preserving phrase search is one critical search technique in cloud-based data processing systems, which allows for the retrieval of cipher documents containing a set of consecutive keywords. However, the existing privacy-preserving phrase search schemes rarely support fault tolerance and result verification at the same time. To deal with these problems, this paper presents a Privacy-Preserving Verifiable Fuzzy Phrase Search scheme over cloud-based data (PPVFPS). We construct a novel keyword matching list by the keyword transformation techniques and the secure kNN algorithm to support fuzzy search. To enhance search efficiency and achieve the dynamic update, we generate a counting Bloom filter based on the virtual binary tree, which can help find the documents containing the search keywords. In order to securely judge the position relationship between two search keywords, we employ the techniques of homomorphic encryption and bilinear mapping to encrypt the positions of the keywords. We generate the verification tags based on the MAC technique and build a document index table to realize result verification. We demonstrate the security analysis of PPVFPS scheme, and the experimental result shows that PPVFPS scheme can achieve high accuracy.

Integrating Multimodal Generative AI Technologies in Postgraduate Marketing Education

While industry practices evolve rapidly, marketing education in Australia and New Zealand faces challenges in keeping pace, particularly regarding the adoption of current marketing technologies (Harrigan et al., 2022). Generative AI, exemplified by systems like ChatGPT and DALL·E, has demonstrated benefits for learning (Baidoo-Anu &amp; Ansah, 2023). However, despite its potential, there remains a dearth of practical guidance on effectively incorporating these technologies into marketing courses. This gap persists even as general frameworks for responsible and ethical AI use, such as the Australian Framework for Generative AI in Schools (2023), emerge. As the demand for graduates with generative AI skills grows in the job market, educators must explore innovative pedagogical approaches to bridge this gap. This academic poster presents an innovative application of generative artificial intelligence (GenAI) in the context of teaching digital marketing at the postgraduate level. Its purpose is to bridge the gap between academic theory and industry practice by encouraging educators to integrate AI tools into their curriculum through experiential learning pedagogy (Kolb, 2014), characterized by a learning process whereby knowledge is created through hands-on experiences. The poster exemplifies how various types of GenAI technologies — specifically text-based, image-based, and video-based — can enhance teaching content, tutorial exercises, and assessments within the digital marketing course. The poster showcases examples of how these GenAI tools are integrated in the course content, to guide students in generating innovative ideas for using AI in marketing to gain a competitive edge: Text-based GenAI: Tools like ChatGPT and Gemini can automatically generate search keywords for search engine marketing. By integrating text-based GenAI tools with established marketing technology (MarTech) tools such as Google Ads and Google Ads Keyword Planner, students engage in practical exercises that combine AI-generated initial ideas (e.g., search keywords) with further analysis (e.g., search volume, click-through rates, and bidding costs) using established MarTech tools. This hands-on approach enhances their learning experience and prepares them for real-world applications. Image-based GenAI: Platforms such as DALL·E, Midjourney, and Stable Diffusion enable the creation of custom images for display advertising, enhancing visual communication in marketing materials. Through experiential learning activities, students can explore ideas, seek unusual combinations, and inspire creativity faster with image-based GenAI tools, resulting in a greater variety of display ad materials. Video-based GenAI: Applications like Sora and Synthesia facilitate the production of short video clips suitable for social media marketing (e.g., YouTube Shorts, TikTok). By engaging in dynamic content creation exercises, students learn to streamline content creation, reduce manual work, and save both time and budget, thereby gaining practical skills in social media marketing. By incorporating these GenAI technologies through experiential learning pedagogy, educators can enrich the learning experience, foster critical thinking, and prepare students for the evolving landscape of digital marketing. Future research can study the use of GenAI in marketing education using theoretical frameworks such as the Unified Theory of Acceptance and Use of Technology (Venkatesh et al., 2016).

Trends in Exercise-Related Internet Search Keywords by Sex, Age, and Lifestyle: Infodemiological Study.

Exercise prescription by physicians is beneficial for initiating or intensifying physical activity. However, providing specific exercise prescriptions is challenging; therefore, few physicians prescribe exercise. This infodemiological study aimed to understand trends in exercise-related internet search keywords based on sex, age, and environmental factors to help doctors prescribe exercise more easily. Search keyword volume was collected from Yahoo! JAPAN for 2022. Ten exercise-related terms were analyzed to assess exercise interest. Total search activities were analyzed by sex and age. Characteristic scores were based on the Japanese prefecture. By performing hierarchical cluster analysis, regional features were examined, and Kruskal-Wallis tests were used to assess relationships with population and industry data. The top-searched term was "Pilates" (266,000 queries). Male individuals showed higher interest in activities such as "running" (25,400/40,700, 62.4%), "muscle training" (65,800/111,000, 59.3%), and "hiking" (23,400/40,400, 57.9%) than female individuals. Female individuals exhibited higher interest in "Pilates" (199,000/266,000, 74.8%), "yoga" (86,200/117,000, 73.7%), and "tai chi" (45,300/65,900, 68.7%) than male individuals. Based on age, search activity was highest in the 40-49 years age group for both male and female individuals across most terms. For male individuals, 7 of the 10 searched terms' volume peaked for those in their 40s; "stretch" was most popular among those in their 50s; and "tai chi" and "radio calisthenics" had the highest search volume for those in their 70s. Female individuals in their 40s led the search volume for 9 of the 10 terms, with the exception of "tai chi," which peaked for those in their 70s. Hierarchical cluster analysis using a characteristic score as a variable classified prefectures into 4 clusters. The characteristics of these clusters were as follows: cluster 1 had the largest population and a thriving tertiary industry, and individuals tended to search for Pilates and yoga. Following cluster 1, cluster 2, with its substantial population, had a thriving secondary industry, with searches for radio calisthenics and exercise bike. Cluster 4 had a small population, a thriving primary industry, and the lowest search volume for any term. Cluster 3 had a similar population to that of cluster 4 but had a larger secondary industry. Male individuals show more interest in individual activities, such as running, whereas female individuals are interested in group activities, such as Pilates. Despite the high search volume among individuals in their 40s, actual exercise habits are low among those in their 30s to 50s. Search volumes for instructor-led exercises are higher in cluster 1 than in other cluster areas, and the total number of searches decreases as the community size decreases. These results suggest that trends in search behavior depending on sex, age, and environment factors are essential when prescribing exercise for effective behavioral change.

Systematic Review of Machine Learning and Deep Learning Techniques for Spatiotemporal Air Quality Prediction

Background: Although computational models are advancing air quality prediction, achieving the desired performance or accuracy of prediction remains a gap, which impacts the implementation of machine learning (ML) air quality prediction models. Several models have been employed and some hybridized to enhance air quality and air quality index predictions. The objective of this paper is to systematically review machine and deep learning techniques for spatiotemporal air prediction challenges. Methods: In this review, a methodological framework based on PRISMA flow was utilized in which the initial search terms were defined to guide the literature search strategy in online data sources (Scopus and Google Scholar). The inclusion criteria are articles published in the English language, document type (articles and conference papers), and source type (journal and conference proceedings). The exclusion criteria are book series and books. The authors’ search strategy was complemented with ChatGPT-generated keywords to reduce the risk of bias. Report synthesis was achieved by keyword grouping using Microsoft Excel, leading to keyword sorting in ascending order for easy identification of similar and dissimilar keywords. Three independent researchers were used in this research to avoid bias in data collection and synthesis. Articles were retrieved on 27 July 2024. Results: Out of 374 articles, 80 were selected as they were in line with the scope of the study. The review identified the combination of a machine learning technique and deep learning techniques for data limitations and processing of the nonlinear characteristics of air pollutants. ML models, such as random forest, and decision tree classifier were among the commonly used models for air quality index and air quality predictions, with promising performance results. Deep learning models are promising due to the hyper-parameter components, which consist of activation functions suitable for nonlinear spatiotemporal data. The emergence of low-cost devices for data limitations is highlighted, in addition to the use of transfer learning and federated learning models. Again, it is highlighted that military activities and fires impact the O3 concentration, and the best-performing models highlighted in this review could be helpful in developing predictive models for air quality prediction in areas with heavy military activities. Limitation: This review acknowledges methodological challenges in terms of data collection sources, as there are equally relevant materials on other online data sources. Again, the choice and use of keywords for the initial search and the creation of subsequent filter keywords limit the collection of other relevant research articles.

Analisis Sentimen Kepuasan Publik Terhadap Masa Kepemimpinan Shin Tae Yong Menggunakan Algoritma Naïve Bayes

Shin Tae Yong is the coach of the Indonesian national team who has been a football player in South Korea and has coached the South Korean national team at the 2018 World Cup in Russia. Many people watch or pay attention to Shin Tae Yong's behavior and behavior when coaching the Indonesian national team. Shin Tae Yong has considerable worry with the Indonesian national team because of his strategy. However, there are several media that frame Shin Tae Yong's news differently so that differences in viewpoints and opinions on Shin Tae Yong are controversial, inviting many people to give their opinions. Therefore, people choose social media as a place to channel opinions. In this study, we will take tweets from X with search keywords for Shin Tae Yong and the Indonesian national team to process and classify the text using the sentiment analysis method. The text classification process is divided into two classes, namely positive sentiment classes and negative sentiment classes. The data used amounted to 2495 data that had been cleansed, which amounted to 2.348 Positive sentiment data and 147 data with negative sentiments so that they can be presented 98.94% positive and 60.00% negative, based on the classification of the Naïve Bayes algorithm model, using a split comparative data 0.8 : 0.2 With the value of k=3 for Shin Tae Yong's dataset, an accuracy value of 96.67%.

Risk Factors for Cytomegalovirus Infection after Haematopoietic Stem Cell Transplantation: A Meta-Analysis.

Cytomegalovirus (CMV) infection is the most common viral infection after haematopoietic stem cell transplantation (HSCT). However, studies on related risk factors give different views without any clear conclusion. Therefore, the purpose of this study was to evaluate the risk variables of CMV infection after HSCT in order to provide recommendations for therapeutic treatment. The National Knowledge Infrastructure [CNKI], Chinese Biomedical Literature database [SinoMed], Wanfang Digital Periodicals [WANFANG] and China Science and Technology Journal [VIP] databases, as well as PubMed, Embase, CENTRAL, Web of Science databases were searched. The search keyword was Cumulative Index of Nursing and Related Health Literature (CINAHL). The search time spanned from the time when the database was created to February 2023. Based on inclusion and exclusion criteria, two researchers independently chose the literature, retrieved data, and assessed the bias risk. The methodological quality of the included studies was assessed by the Newcastle Ottawa scale (NOS). A total of 1,038 literatures were retrieved, of which, 18 studies were finally included. The final results of meta-analysis showed that there were seven risk factors as follows: Acute graft-versus-host disease (aGVHD) grades II-IV (II-IV) [odds ratio = 3.39, 95% CI (2.13, 5.41), p <0.05]; ant-thymocyte globulin (ATG) administration in treatment [odds ratio = 2.53, 95% CI (1.41, 4.53), p <0.05]; cyclosporine level after transplantation (>300 ng/ml) [OR = 3.79, 95% CI (1.24, 11.65), p <0.05]; age [odds ratio = 1.83, 95% CI (1.06, 3.15), p <0.05]; neutrophil deficiency time [odds ratio = 6.58, 95% CI (2.24, 19.30), p <0.05]; CMV infection in recipients before transplantation [odds ratio = 6.32,95% CI (4.03, 9.90), p <0.05]; fungal infection [odds ratio = 2.63, 95% CI (1.09, 6.34), p <0.05]. This study preliminarily revealed that CMV infection after HSCT is related to aGVHD (II-IV), ATG administration in pretreatment, cyclosporine level (>300 ng/ml) after transplantation, age, neutrophil deficiency time, CMV infection in recipients before transplantation and fungal infection. However, the mechanisms behind the risk variables are unclear. Further research is necessary to understand the risk factors and to enhance the care of patients with these risk factors to prevent or control infection. Key Words: Haematopoietic stem cell transplantation, Cytomegalovirus infection, Risk factors, Meta-analysis.

Risk Factors for Cytomegalovirus Infection after Haematopoietic Stem Cell Transplantation: A Meta-Analysis.

Cytomegalovirus (CMV) infection is the most common viral infection after haematopoietic stem cell transplantation (HSCT). However, studies on related risk factors give different views without any clear conclusion. Therefore, the purpose of this study was to evaluate the risk variables of CMV infection after HSCT in order to provide recommendations for therapeutic treatment. The National Knowledge Infrastructure [CNKI], Chinese Biomedical Literature database [SinoMed], Wanfang Digital Periodicals [WANFANG] and China Science and Technology Journal [VIP] databases, as well as PubMed, Embase, CENTRAL, Web of Science databases were searched. The search keyword was Cumulative Index of Nursing and Related Health Literature (CINAHL). The search time spanned from the time when the database was created to February 2023. Based on inclusion and exclusion criteria, two researchers independently chose the literature, retrieved data, and assessed the bias risk. The methodological quality of the included studies was assessed by the Newcastle Ottawa scale (NOS). A total of 1,038 literatures were retrieved, of which, 18 studies were finally included. The final results of meta-analysis showed that there were seven risk factors as follows: Acute graft-versus-host disease (aGVHD) grades II-IV (II-IV) [odds ratio = 3.39, 95% CI (2.13, 5.41), p <0.05]; ant-thymocyte globulin (ATG) administration in treatment [odds ratio = 2.53, 95% CI (1.41, 4.53), p <0.05]; cyclosporine level after transplantation (>300 ng/ml) [OR = 3.79, 95% CI (1.24, 11.65), p <0.05]; age [odds ratio = 1.83, 95% CI (1.06, 3.15), p <0.05]; neutrophil deficiency time [odds ratio = 6.58, 95% CI (2.24, 19.30), p <0.05]; CMV infection in recipients before transplantation [odds ratio = 6.32,95% CI (4.03, 9.90), p <0.05]; fungal infection [odds ratio = 2.63, 95% CI (1.09, 6.34), p <0.05]. This study preliminarily revealed that CMV infection after HSCT is related to aGVHD (II-IV), ATG administration in pretreatment, cyclosporine level (>300 ng/ml) after transplantation, age, neutrophil deficiency time, CMV infection in recipients before transplantation and fungal infection. However, the mechanisms behind the risk variables are unclear. Further research is necessary to understand the risk factors and to enhance the care of patients with these risk factors to prevent or control infection. Key Words: Haematopoietic stem cell transplantation, Cytomegalovirus infection, Risk factors, Meta-analysis.

Vector space model, term frequency-inverse document frequency with linear search, and object-relational mapping Django on hadith data search

For Muslims, the Hadith ranks as the secondary legal authority following the Quran. This research leverages hadith data to streamline the search process within the nine imams’ compendium using the vector space model (VSM) approach. The primary objective of this research is to enhance the efficiency and effectiveness of the search process within Hadith collections by implementing pre-filtering techniques. This study aims to demonstrate the potential of linear search and Django object-relational mapping (ORM) filters in reducing search times and improving retrieval performance, thereby facilitating quicker and more accurate access to relevant Hadiths. Prior studies have indicated that VSM is efficient for large data sets because it assigns weights to every term across all documents, regardless of whether they include the search keywords. Consequently, the more documents there are, the more protracted the weighting phase becomes. To address this, the current research pre-filters documents prior to weighting, utilizing linear search and Django ORM as filters. Testing on 62,169 hadiths with 20 keywords revealed that the average VSM search duration was 51 seconds. However, with the implementation of linear and Django ORM filters, the times were reduced to 7.93 and 8.41 seconds, respectively. The recall@10 rates were 79% and 78.5%, with MAP scores of 0.819 and 0.814, accordingly.

Prevalence of HIV/AIDS among pregnant women in North American region: A systematic review and meta-analysis.

As a major maternal health concern, the prevalence of human immunodeficiency virus (HIV) among pregnant women was previously investigated in European, African, and Latin American regions other than the North American region. This study analyzed the prevalence of HIV among pregnant women in the North American region including 3 major countries: the USA, Canada, and Mexico. Relevant studies were screened from 3 online databases: Google Scholar, PubMed, and ScienceDirect using specific search keywords. Ultimately, 10 studies of the North American region were included with a total of 339,831 pregnant women residing in the USA, Canada, and Mexico. The overall pooled prevalence was 0.6% (95% confidence interval [CI]: 0.4-0.8) with a high degree of heterogeneity (I2 = 97%). Pooled prevalence rates of HIV among pregnant women in Canada, Mexico, and the USA were 0.3% (95% CI: 0.1-0.5), 0.5% (95% CI: 0.2-0.8), and 2.3% (95% CI: 0.0-5.7), respectively with high degrees of heterogeneity. The overall prevalence rate of HIV among pregnant women in the USA, Canada, and Mexico was minimal as compared with the countries of Eastern Europe, sub-Saharan Africa, or Latin America. Awareness, adequate testing and healthcare facilities, better socioeconomic, and geopolitical conditions might be crucial to lowering the prevalence of HIV among pregnant women.

Exploring the determinants of exclusive breastfeeding practices among first-time mothers: A narrative review.

Exclusive breastfeeding (EBF) means giving only breast milk to babies 0-6 month without giving any drinks or food, except medicines and vitamins. Only 44% of babies received EBF worldwide in 2020. Meanwhile, in 2025, the target for achieving EBF is 50%. The research aim is to analyze the determinant of the success of EBF for the first-time mother. Database search via Google Scholar, Pubmed, Web of Science, Science Direct, Scopus, and Pro Quest for articles published since 2020-2022. Search keywords influencing factors, determinants, exclusive breastfeeding, first-time mothers. We found 19 articles but only 6 articles were suitable with the inclusion critrria. From the researches findings that the importance factors influence EBF practice are self-efficacy, social support, culture, relationships between parents, happiness in breastfeeding, and social environment. It is recommended that tracing activities be part of increasing the success of EBF practices for first-time mothers.

PRESERVATION OF MALAY STUDY: SELECTED CASE STUDY VIA GOOGLE SCHOLAR PEMELIHARAAN PENGAJIAN MELAYU: KAJIAN KES TERPILIH MELALUI GOOGLE SCHOLAR

In the university library, various materials are readily available, encompassing various formats such as books, journals, media collections, and online databases. Among higher education students, there is a not able preference for social science books, particularly those focused on Malay Studies, serving as valuable references for assignments and theses. Online databases like Project Muse are also frequently consulted to supplement academic work. The primary goal of this study is to analyze the availability of articles related to our title, "Preservation of the Malay Studies Case Study," through an exploration conducted on Google Scholar. Notably, Google Scholar emerges as an open-source platform preserving a collection of Malay Studies articles, benefiting a wide audience. The selection and review of around ten case studies are crucial, considering criteria such as the case study title, material type, and citation count. Two case studies have garnered over a hundred citations, while six have exceeded 20. The distribution includes eight journal articles, one book, and an article in proceedings. These case studies predominantly delve into preserving historical culture within the context of Malay studies, encompassing research conducted in Malaysia, Indonesia, and Singapore. Acknowledging limitations, the chosen search keywords, "preservation" AND "Malay study," provide direction for future researchers to tailor their searches based on specific research areas.

Efficacy of different warming methods for perioperative hypothermia prevention on body temperature and shivering among transurethral resection patients: A systematic review and meta-analysis study

PurposeThe present study attempts to assess the impacts of distinct warming strategies employed to avert perioperative hypothermia on core body temperature and shivering among transurethral resection patients. MethodsWe performed a comprehensive search of Turkish and English keywords across a range of databases, including PUBMED, Web of Science, Cochrane Library, SCOPUS, Ovid, EBSCOhost, Yöktez, DergiPark, and TR Index, to identify studies on the subject published between January 1, 2001–2024. The search procedure yielded 11 studies to be recruited for meta-analysis. We analyzed the data using the trial version of Comprehensive Meta-Analysis Software (CMA). The degree of heterogeneity was quantified using Higgins I2 tests, while we assessed publication bias through Kendall's Tau and Egger's regression analyses. ResultsThis meta-analysis focuses exclusively on the effects of forced air warming and irrigation fluid warming, as only these methods provided sufficient data to calculate effect size. Our findings demonstrated that while forced air warming significantly affected preoperative (g = 0.279), intraoperative (15th minute, T4) (g = 0.845), postoperative (g = 0.647) body temperature and postoperative shivering (g = −2.279), irrigation fluid warming had a significant impact on postoperative body temperature (g = 1.007) and intraoperative shivering (g = 0.188). ConclusionOverall, our results indicated that forced air warming and irrigation fluid warming can serve as a preventive measure against hypothermia and shivering among transurethral resection patients. Given that other forms of warming could not be included in this research, further studies are recommended to explore scholarly evidence on the efficacy of these methods.

Downstream Effects of Market Changes on Inhalers: Impacts on Individuals With Chronic Lung Disease.

COPD and asthma are two of the most common chronic lung diseases, affecting over 545 million people globally and 34 million in the United States. Annual health care costs related to chronic lung disease are estimated at €380 billion in the European Union, and $24-$50 billion in the United States averaging to $4,000 in out-of-pocket costs per person in the U.S. A full-text literature search was conducted for English publications between January 1, 2005-March 18, 2024. It returned over 5,000 publications that were further narrowed using key search words, resulting in 172 peer-reviewed articles. Using their experience and subject expertise, the authors further narrowed the peer-reviewed articles to 55 that were in their opinion relevant. Also, 38 recently published industry reports and news articles specific to downstream effects of inhaler market changes and the future impact were included. The literature suggests that individuals with chronic lung disease face increased challenges with access to inhaled medication due to rising medication costs, discontinuation of branded medications, introduction of generic medications not covered by insurance, exclusionary preferred drug list tactics that force health care providers into non-medical switching of medication or devices, and ongoing medication shortages. Providers experience ongoing hurdles in prescribing appropriate inhaled medications for individuals with chronic lung disease, including increased time and costs spent on administrative tasks due to inhaler denials, a loss of patient trust, and limits on their ability to prescribe appropriate inhaled medication for individuals with chronic lung disease.

Cholangiocarcinoma: A Comprehensive Review and Update Guideline

Cholangiocarcinoma is a rare cancer of the gastrointestinal system. However, the prognosis for people with this disease has not improved in the last decade. CCA has a poor prognosis because most cases are diagnosed at an advanced stage and the availability of treatment options is limited. This literature review aims to provide information regarding the current understanding and guidelines for cholangiocarcinoma. In this literature review, we searched the National Center for Biotechnology Information (NCBI) and Google Scholar using the search keywords "Cholangiocarcinoma", "cholangiocarcinoma management", "cholangiocarcinoma guidelines" taken ScienceDirect, Researchgate, National Comprehensive Cancer Network, and PubMed published in the last 10 years. From various databases, the literature used and according to the selection criteria amounted to 50 articles In the latest articles and the Cancers NCCN Guidelines for Biliary Tract Cancer in 2023, CCA treatment is carried out based on the patient's profile. Targeted therapy is an additional treatment option today by targeting the molecular profile involved in the pathogenesis of CCA. The diagnosis of cholangiocarcinoma is made through histology, radiography, and laboratory examination. Based on the Cancers NCCN Guidelines for Biliary Tract Cancer in 2023, the treatment carried out consists of determining cancer staging, surgery, radiation therapy, and systemic therapy.

A bibliometric analysis of accounting education literature in the digital era: current status, implications and agenda for future research

Purpose This study aims to identify and discuss influential aspects of accounting education literature in the digital era, such as key streams, themes, authors, keywords, journals, affiliations and countries. It also constructs agendas for future research. Design/methodology/approach The current study uses a bibliometric approach to analyze 287 studies indexed by the Scopus Database from 1982 to 2023. Findings The analysis reveals three themes: “the impact of emerging technologies on the accounting profession,” “the essential skills for modern accountants” and “the integration of technology into the accounting curricula.” Beyond this, the analysis points out that Macquarie University and the Queensland University of Technology were the most productive institutions. Furthermore, the leading journal was the Accounting Education Journal. The USA and Australia were leading in total citations and publications, while 2023 was the peak publishing year. Research limitations/implications The study acknowledges that alternative search keywords, databases and research categories may reveal unexplored relationships. The present study’s findings have crucial theoretical and practical implications for researchers in the accounting domain, higher education institutions and policymakers. Originality/value The study contributes to the extant accounting literature by presenting a holistic view of the impact of emerging technologies on accountants’ skills, profession and accounting curriculum, identifying gaps in the literature and proposing a research agenda.