Sürdürülebilir Kalkınma Amaçları

• 3
• 1
• 1
• 1
• 1
• 1

• Kitap BölümüYalnız künye2026/r/kostu/10468
  Artificial Intelligence-Assisted Design and Optimization of BioNanocomposites for Biomedical and Environmental Applications

  Bozbeyoglu, Pinar; Kostas, Rabia Yasa; Altuner, Elif Esra; Elmas, Muzaffer

  Bio-nanocomposites, produced from renewable resources, stand out as one of the promising next-generation material classes for both biomedical and environmental applications due to their biocompatible and biodegradable structures.However, the vast and complex design space of these materials, which depends on numerous variables including the type of biopolymer matrix and the type and concentration of the nanostructured filler, makes their optimization quite challenging with traditional “trial-and-error” based research methods.This study provides a general overview of an artificial intelligence (AI)-based methodology that holds the potential to overcome this complexity.In this context, the limitations of the traditional “forward screening” approach are discussed, and the “inverse design” paradigm, based on the idea of “designing a material with desired properties,” is proposed as a solution.The study outlines the potential roles of various AI tools in this field, from supervised learning models to deep learning approaches and optimisation algorithms.This theoretical framework is substantiated by practical case studies that range from drug delivery to sustainable packaging.The case studies demonstrate how AI not only enables the prediction of properties but also facilitates strategically developing materials for a particular function, thereby accelerating the discovery process.Finally, current challenges, such as data scarcity and the interpretability of models, are addressed, and future visions to overcome these obstacles, including physics-informed AI, autonomous discovery platforms, and human-AI partnerships, are discussed.It is concluded that this synergy has the capacity to stimulate a new era of innovation in sustainable materials science.

  • 
  İncele
• Derleme MakaleAçık Erişim2026Scopus SJRQ2/r/kostu/10455
  Sustainable Ammonia Production, Advances in Electrochemical, Photoelectrochemical, and Photocatalytic Technologies for Green Energy

  Shahin, Musarat; Mohsin, Abdul Haseeb; Bibi, Aiman; Ahmad, Ihtisham; Altuner, Elif Esra; Aldemir, Ozan; Durmusoglu, Senol; Yilancilar, Mehmet Sabit; Tanriverdi, Yavuz; Acar, Esra

  Substantial advances have been made since the 1970s in reducing the environmental impacts of ammonia production. Renewable-driven electrochemical synthesis offers a promising pathway to decarbonize ammonia production. This review examines an integrated route in which hydrogen is generated photoelectrochemically under concentrated solar irradiation and subsequently used in electrochemical ammonia synthesis. Photoelectrochemical cells are fabricated by electrostatically depositing photosensitive particles onto cathodes to enhance light-driven hydrogen production. Hydrogen production rates and ammonia yield depend strongly on temperature and electrolyte composition. The synthesized hydrogen is fed into a molten salt electrochemical reactor that operates at atmospheric pressure and receives nitrogen from a dedicated supply. This combined solar–electrochemical approach can produce low-carbon ammonia with improved safety and reduced environmental impact, offering a scalable alternative to conventional processes.

  • 
  • 
  • 
  AtıfScopus1·OpenAlex1

  İncele
• Kitap BölümüYalnız künye2026/r/kostu/10277
  Smart Nanocarriers and AI-Driven Release Systems for Targeted Antibiotic Delivery

  Kostas, Rabia Yasa; Bozbeyoglu, Pinar; Altuner, Elif Esra; Elmas, Muzaffer

  The antimicrobial resistance (AMR) crisis is not merely a consequence of the emergence ofresistant pathogens. Furthermore, the remaining shortcomings oftraditional antibiotic production and development processes have become a profound health threat, exacerbated by their pharmaceutical and pharmacokinetic limitations. This book chapter redefines the AMR crisis as a problem of drug and treatment discovery as well as drug delivery to target tissues, and examines the technological angle emerging at the intersection of nanotechnology and artificial intelligence (AI) in response to this problem. This review begins by examining the problems inherent in traditional antibiotic architecture, such as systemic toxicity, low bioavailability, poor stability, and, most importantly, the inability to penetrate protected sites such as bacterial biofilms or intracellular bunkers. Copyright © 2026 by IGI Global Scientific Publishing. All rights reserved. No part of this publication may be reproduced, stored or distributed in any form or by any means, electronic or mechanical, including photocopying, without written permission from the publisher. Use of this publication to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development.

  • 
  İncele
• MakaleYalnız künye2025Scopus SJRQ2/r/kostu/10723
  Developing and validating a rubric-based approach to quality assurance in Turkish higher education

  Akkoyunlu, Buket; Bardakcı, Salih; Yıldırım, Sibel Aksu; Avşaroğlu, M. Dilek; Uludağ, Gonca; Koçer, Ayhan; Elmas, Muzaffer

  This study, initiated by the Turkish Higher Education Quality Council (THEQC), develops and validates a rubric-based approach for evaluating institutional quality assurance (QA) processes within the Turkish higher education ecosystem. Effective quality assurance (QA) in higher education requires evaluation tools that are methodologically robust, responsive to institutional needs, and aligned with international benchmarks. A rubric-based approach offers a structured and transparent framework for consistent assessments. The rubric was created through an iterative, evidence-based process incorporating expert feedback, international benchmarks, site visits, and prior research. It consists of 22 main criteria across four key domains—Leadership, Governance and Quality; Learning and Teaching; Research and Development; and Service to Society—subdivided into 46 sub-criteria, each assessed on a five-point maturity scale. The validity and reliability of the rubric were rigorously examined. Content validity was established through evaluations by 10 QA professionals, addressing four key dimensions: relevance, alignment with the intended domain, appropriateness for the target audience, and clarity of language. Construct and criterion validity were assessed through consistency checks and usability analyses, with data collected from 252 external evaluators across 57 higher education institutions. Additionally, 360-degree feedback was gathered from both external evaluation teams and the institutions involved in the evaluation process. Results: demonstrate strong content validity (Lawshe coefficient = 1.00, p < .05), high interrater consistency, and strong usability across various evaluator groups. Further evaluation confirmed the rubric's applicability and robustness across diverse institutional contexts. This study concludes that the developed rubric is a reliable and valid tool for enhancing and evaluating quality assurance practices in higher education.

  • 
  AtıfScopus1·OpenAlex2

  İncele
• MakaleAçık Erişim2024Scopus SJRQ4/r/kostu/10222
  AI Integrated Theoretical/Organic Chemistry is Set to Revolutionize the Future of Education and De Novo Drug Discovery

  Agar, Soykan; Tokay, Ilgaz; Akkurt, Barbaros; Gokoluk, Erkan; Akbulut, M. Berk; Ozler, Berin Damla; Elmas, Muzaffer

  This article discusses the rapidly expanding artificial intelligence (AI) tools combined with theoretical and organic chemistry software to point out the fact that near future is being reborn with a new education system and research system in drug discovery. The integration of AI into the field of chemistry and pharmacy has expanded rapidly in recent years. There has been a significant surge in both journal articles and patents, particularly from 2015 onward. Analyzing the distribution of these publications across various pharmaceutical and chemical research domains reveal that theoretical chemistry, organic chemistry and biochemistry have embraced AI most extensively, showing the highest growth rates. Utilizing such new software tools in educational research centers and academia, students and scholars can learn and apply much more long-durational and larger techniques in shorter times to yield massive results for the sake of humankind’s future with no diseases. This new type of educational and research-oriented technique integrating the control and check mechanism of AI is being used today for the design of new drugs which are essential for the longevity. The utilization of AI with in-silico studies and education increases the ability to stop diseases with a logarithmic increase while the old-fashioned ways of chemistry will be no more in the near future. Overall, this research paper offers a comprehensive overview of AI's advancement in pharmaceutical and chemical area and sheds light on its potential future trajectories.

  • 
  İncele
• MakaleAçık Erişim2022/r/kostu/10789
  Thematic Analysis of Status Reports Made within the Scope of Higher Education Assessment and Quality Assurance: The Comparative Case of England and Turkiye

  Hamutolu, Nazire Burcin; Ünveren-Bilgiç, Emine Nur; Elmas, Muzaffer

  In this study it is aimed to examine the status reports which were pub-lished by the Turkish Higher Education Quality Council (YoKAK) in 2016, 2017 and 2018 within the scope of evaluation and quality assurance, thematically. In addition, the results were compared with the UK's qual-ity assurance and evaluation system. From this point of view, suggestions for improvements in sustainable development plans that can be made for the future in quality assurance are included. This study describes and examines a limited number of sources in depth, so a case study design with a qualitative focus was employed. The study, in which content analy-sis was used, was analyzed with the content analysis method of a total of 77 resources used within the scope of quality in higher education. The results obtained in the study are important in terms of considering the institutional autonomy and leadership studies, which form the heart of the quality assurance system, within the scope of internationalization. Forward-looking suggestions were presented concerning both the diplo-ma programs and micro-credit systems within the scope of collaboration and articulation among institutions of higher education in Turkiye.

  • 
  AtıfWoS2·OpenAlex1·TR Dizin2

  İncele