https://metall-mater-eng.com/index.php/home <table border="0" cellspacing="0" cellpadding="0"> <tbody> <tr> <td style="padding: 0px 20px 20px 20px;" valign="top"><br /> <p> </p> </td> <td valign="top"> <p><strong>Metallurgical and Materials Engineering </strong>(print ISSN 2217-8961, online ISSN 2812-9105) is a peer-reviewed open access scientific journal, which publishes contributions on fundamental and engineering aspects in the area of metallurgy and materials. <a title="Focus and Scope" href="https://metall-mater-eng.com/index.php/home/about"><em>READ MORE...</em></a></p> <p><img src="https://metall-mater-eng.com/public/site/images/v_manojlovic/tr.gif" alt="" /><br />We are pleased to inform you that the Journal Metallurgical and Materials Engineering has been included in the <a href="http://ip-science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=EX&amp;ISSN=%202217-8961" target="_blank" rel="noopener">EMERGING SOURCES CITATION INDEX (journal list) - Thomson Reuters</a>. Considering high ethic standards, we will try to maintain and improve the quality of our journal.</p> <p><img src="https://metall-mater-eng.com/public/site/images/v_manojlovic/Scopus_logo1.png" /> From the 2019 year, the journal Metallurgical and Materials Engineering is indexed in <a href="https://www.scopus.com/" target="_blank" rel="noopener">SCOPUS</a>, <span class="st">Elsevier's largest abstract and citation database of peer-reviewed literature.</span></p> </td> </tr> <tr> <td colspan="2" valign="top"> <p><img src="https://metall-mater-eng.com/public/site/images/v_manojlovic/srbija_grb_ministarstvo.png" alt="" /> According to the <a href="http://kobson.nb.rs/nauka_u_srbiji/kategorizacija_casopisa_.33.html" target="_blank" rel="noopener">categorization of Serbian scientific journals in the field of materials and chemical technologies</a> from the 2014 journal Metallurgical and Materials Engineering is in the M24 category.</p> </td> </tr> </tbody> </table> <div> </div> TechnoFit Academic Publishers LLC en-US Metallurgical and Materials Engineering 2217-8961 <p>Authors who publish with this journal agree to the following terms:</p> <ul> <li>Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a <a href="http://creativecommons.org/licenses/by/4.0/" target="_new">Creative Commons Attribution License</a> that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.</li> <li>Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.</li> <li>Authors are permitted and encouraged to post their published articles online (e.g., in institutional repositories or on their website, social networks like <a href="https://www.researchgate.net" target="_blank" rel="noopener">ResearchGate</a> or <a href="https://www.academia.edu/" target="_blank" rel="noopener">Academia</a>), as it can lead to productive exchanges, as well as earlier and greater citation of published work (See <a href="http://opcit.eprints.org/oacitation-biblio.html" target="_new">The Effect of Open Access</a>).</li> </ul> <p> </p> <p><a href="http://creativecommons.org/licenses/by/4.0/" rel="license"><img style="border-width: 0;" src="https://i.creativecommons.org/l/by/4.0/88x31.png" alt="Creative Commons License" /></a><br />Except where otherwise noted, the content on this site is licensed under a <a href="http://creativecommons.org/licenses/by/4.0/" rel="license">Creative Commons Attribution 4.0 International License</a>.</p> https://metall-mater-eng.com/index.php/home/article/view/1925 <p>The conventional approaches to health risk assessment used in healthcare organizations are increasingly becoming a burden to these organizations, with questionnaires, infrequent reviews by clinicians, and data systems that hold only isolated pieces of information about the health journey of patients. Care managers waste too much time in manual data collection and redundancy in questioning, instead of concentrating on therapeutic relationships with patients and the coordination of care. The solution of agentic artificial intelligence is disruptive as it will interact autonomously with patients by means of conversational interfaces, combine real-time data from various sources (wearables and health applications), and continuously update risk profiles. These smart systems liberate care team workloads, collect dynamic health indicators like sleep behaviors and heart rate variability, personalized measurements, and provide proactive notifications if a risk threshold has been met. The implementation offers a lot of benefits, such as an increased capacity of care managers, earlier identification of health decline, enhanced comprehensiveness of assessment, patient burden, and proactive risk management, which can be scaled. Nonetheless, to be deployed successfully, data privacy and security, mitigating algorithmic bias, encouraging an uninterrupted clinical workflow, preserving human oversight, overcoming the digital divide by hybrid solutions, and strict regulatory adherence are to be taken into account. The merging of artificial and human intelligence in health risk assessment is sure to radically remodel the care delivery, enabling it to intervene earlier, with more personalized care plans, and even better outcomes at a reduced cost in the value-based healthcare setting.</p> Balasubramanian Rengasamy Copyright (c) 2026 Balasubramanian Rengasamy http://creativecommons.org/licenses/by/4.0 2026-01-08 2026-01-08 1 8 https://metall-mater-eng.com/index.php/home/article/view/1927 <p>This research attempts to investigate new ways to enhance the effectiveness of solar cells by integrating cutting-edge technologies such as nanotechnology and the Internet of Things (IoT) to augment transmission capabilities. To maintain stability in voltage and current and to keep the power supplied to an AC load constant, the research utilizes a Proportional-Integral (PI) controller. Both experimental and simulated data indicated that the application of nanotechnology, in particular, the use of Fe₃O₄ magnetite nanoparticles, improves the effectiveness of solar cells by diminishing recombination losses and increasing charge carrier mobilities, thus increasing the overall efficacy of the solar panel. The data indicated that there was a solar panel efficiency increase of 2-3% during peak sunlight hours. In addition, the PI controller was better at controlling power output, especially with solar cells that used nanotechnology. The use of advanced nanotechnology and IoT demonstrate a big potential in improving and optimizing solar powered systems to provide efficient and dependable power generation.</p> MD Niyaz Ali Khan Dr. Mohd Muazzam Copyright (c) 2026 MD Niyaz Ali Khan, Dr. Mohd Muazzam http://creativecommons.org/licenses/by/4.0 2026-01-05 2026-01-05 9 20