http://ijaers.com/ Open Access international Journal to publish research paper en-us August The use of artificial intelligence (AI) in healthcare has revolutionized the field. The rapid progress in AI has resulted in the development of diagnostic, therapeutic, and intervention-based applications in the medical industry. Currently, there is a significant gap between AI-based research publications and their use in clinical anesthesia, which requires attention and resolution. AI technologies have made significant progress in recent years and are now widely used in several aspects of our everyday existence. Various endeavors are now underway in the healthcare sector to incorporate AI technology into practical medicinal interventions. Due to the rapid advancements in machine learning (ML) algorithms and enhancements in hardware capabilities, AI technology is anticipated to have a significant impact on efficiently processing and using vast quantities of health and medical data. Nevertheless, AI technology has distinct attributes that set it apart from current healthcare technologies. There are many aspects in the existing health care system that need to be improved in order to enhance the use of AI in health care. Furthermore, there is a limited acceptance of AI in the healthcare field among both medical professionals and the general public. Additionally, there are several worries around the safety and dependability of AI technology deployments. Hence, the purpose of this study is to provide the present state of research and implementation of AI technology in the field of healthcare and analyze the unresolved challenges. This research is conducted via a comprehensive literature review that explores the function of AI in the field of healthcare. This research offers valuable insights into the primary uses of AI in addressing particular difficulties in the construction industry. It also outlines the steps necessary to achieve the clear benefits associated with AI in healthcare. http://ijaers.com/detail/ai-in-healthcare-era-of-healthcare-innovation-role-current-issues-challenges-recommendations-and-future-directions/ Karthik Kumar Vaigandla http://ijaers.com/uploads/issue_files/1IJAERS-0720256-AIin.pdf In this work, we implement a hybrid recommendation system for news articles that combines two primary approaches: semantic analysis via TF–IDF vectorization of headlines and Nearest Neighbors search, and network analysis using an article-similarity graph constructed from shared tags. To improve recommendation quality, rare tags were filtered out, and the number of articles per tag was capped to balance the dataset. A weighted combination of semantic and graph-based scores was also employed with parameter tuning. Precision was adopted as the evaluation metric, measuring the proportion of correctly predicted tags in the recommended articles against the ground-truth tags in the test set. Experimental results show that the hybrid model effectively leverages both semantic headline features and network connections between articles. When increasing the per-tag article cap from 1,000 to 3,000, precision rose from 0.168 to 0.187—an 11% improvement—while training time increased from 31.8 s to 506 s. This trade-off confirms the value of expanding the data scope and demonstrates the strength of the hybrid approach. The achieved precision on the test set indicates that integrating semantic and network analyses yields more accurate and well-grounded recommendations tailored to user interests. http://ijaers.com/detail/recommendation-system-based-on-semantic-analysis-and-network-models/ N.S. Fedotov http://ijaers.com/uploads/issue_files/2IJAERS-0820253-Recommendation.pdf This study was conducted to determine the awareness levels of teachers working at Igdr Vocational and Technical Anatolian High School regarding occupational health and safety OHS and to develop policy recommendations based on the findings The study was designed using a quantitative research method and a descriptive survey model with the population consisting of all teachers working at the school during the 20242025 academic year The findings revealed that teachers OSH awareness levels were generally high but there were significant knowledge gaps in areas such as technical infrastructure legal regulations and disaster preparedness While no significant differences were found in terms of gender educational background and length of service the age variable had a significant effect on awareness levels Additionally the status of receiving firefighting training showed a significant relationship with gender It was determined that the vast majority of participants 875 had previously received OSH training however the low rates of firefighting 45 and searchandrescue 325 training were notable While the use of personal protective equipment and occupational risk awareness was above 80 knowledge levels regarding structural safety elements fire detection systems water tank maintenance lightning rods etc remained irregular and insufficient While teachers have a high level of individual safety awareness it has been determined that this awareness is not integrated with the schools technical infrastructure and administrative processes The study recommends strengthening regulatory training increasing information about technical infrastructure regularizing disaster drills integrating OSH information into the curriculum reinforcing PPE usage habits and improving managementteacher communication http://ijaers.com/detail/teachers-perceptions-of-self-efficacy-and-awareness-levels-in-occupational-health-and-safety-a-local-study/ Birkan Oktay, Okan Ozbakir http://ijaers.com/uploads/issue_files/3IJAERS-0820255-Teachers.pdf The study aimed to compare the perceived learning effectiveness of online and face-to-face internships among BS Medical Technology students at the World Citi College A quantitative-comparative research design was employed, with a total of 210 respondents from two distinct internship batches: 60 students from the Academic Year 2020–2021 who underwent online internships, and 150 students from the Academic Year 2023–2024 who completed face-to-face internships. Data were collected using a structured survey questionnaire measuring knowledge acquisition, skills development, problem-solving, critical thinking, communication, and professional preparedness. Descriptive statistics were used to present demographic profiles and perceived effectiveness, while independent samples t-tests determined significant differences between the two groups. Results revealed that face-to-face internship students consistently reported higher mean scores across all indicators of learning effectiveness compared to online interns. Statistically significant differences were observed in knowledge acquisition, skills development, problem-solving, critical thinking, communication, and professional preparedness, indicating that traditional internships provide more comprehensive experiential learning. While online internships ensured continuity of training during pandemic-related restrictions, they were limited in offering hands-on practice and direct mentorship. These findings highlight the importance of maintaining face-to-face internships as a core component of medical technology education while considering online modalities as supplemental tools to support theoretical learning. The study suggests that hybrid internship models may optimize both accessibility and practical skill development for future healthcare professionals. http://ijaers.com/detail/comparative-analysis-of-perceived-learning-effectiveness-between-online-and-face-to-face-internships-of-bs-medical-technology-students/ Archiles Briones Tolentino http://ijaers.com/uploads/issue_files/4IJAERS-0820256-Comparative.pdf The Venturi tube, a widely used cavitation-generating device in the petroleum and chemical industries, is valued for its simple structure and safe stability. During cavitation-induced gas-liquid two-phase flow, collapsing bubble clusters release high temperature and pressure energy with associated effects. This study uses Fluent to investigate the Venturi tube’s internal flow field characteristics. By comparing pressure contours, velocity contours, and gas phase distributions under varying inlet-outlet pressure ratios, throat length-to-diameter ratios, and diffusion angles, it analyzes cavitation flow evolution. Results show: for a fixed-structure Venturi with constant outlet pressure, stronger cavitation effects occur with higher inlet pressure, larger throat length-to-diameter ratios, and smaller diffusion angles. These findings clarify internal flow patterns and the influence of hydraulic and structural parameters on cavitation intensity. http://ijaers.com/detail/numerical-simulation-and-analysis-of-gas-liquid-two-phase-flow-in-a-venturi-tube/ Yong-Sen Huang, Yan-Zuo Chang, Qi-Hong Tang, Guo-Xing Yang, Liu-Yi Yu, Ruo-Yu Yang, Jin-Ping Chen, Ying-Xiang Mo http://ijaers.com/uploads/issue_files/5IJAERS-0820254-Numerical.pdf The increasing prevalence of antibiotic resistance necessitates the exploration of alternative antimicrobial agents. This study evaluated the antibacterial efficacy of methanolic leaf extracts of nine Indian medicinal plants, including Cassia fistula, Millettia pinnata, and Adhatoda vasica. Antibacterial activity was assessed against two Gram-negative (Escherichia coli, Enterobacter aerogenes) and two Gram-positive (Bacillus subtilis, Staphylococcus aureus) bacteria using the agar well diffusion method. Among the tested extracts, Justicia adhatoda exhibited the highest inhibition against E. aerogenes (16 mm), while Rauvolfia serpentina was most effective against B. subtilis (14 mm). These findings support the traditional use of these plants and suggest their potential as sources for novel antibacterial compounds. http://ijaers.com/detail/evaluation-of-in-vitro-antibacterial-potential-of-selected-indian-medicinal-plants-against-human-pathogens/ Kinjal Dodia, Uday Bhanushali, Ritesh Tandel, Govind Kher, Niraj Pandya http://ijaers.com/uploads/issue_files/6IJAERS-0120253-Evaluation.pdf