IYTE GCRIS Database (Izmir Institute of Technology)
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Life Cycle Assessment of Black Tea Production and Consumption in Turkiye: Insights From Waste Management Scenarios
No full textThis study conducts a life cycle assessment (LCA) of tea production and consumption in T ; uuml;rkiye, the world leader in per capita tea consumption. Aiming to identify environmental hotspots and propose sustainable solutions, a cradle-to-grave LCA was performed using CCaLC2 software, CML methodology, and the Ecoinvent 3.0 database. It covers cultivation, processing, transportation, and consumption stages, focusing on key environmental indicators like carbon footprint and acidification potential. The results reveal that consumption dominates the environmental footprint (91%) due to energy-intensive brewing methods. Cultivation and transportation contribute minimally (4% each). This highlights the need for promoting energy-efficient brewing practices and consumer adoption of renewable energy sources. The study also explores the environmental implications of different waste management strategies. Composting emerged as the most beneficial approach for reducing the carbon footprint and photochemical oxidants creation, while incineration might be preferable for other impact categories. This study underscores the importance of addressing energy consumption during tea brewing and encouraging renewable energy use among consumers. Additionally, it promotes composting as a crucial waste management strategy for a more sustainable tea value chain in T ; uuml;rkiye. These findings offer valuable insights for policymakers, industry players, and tea drinkers to make informed decisions that minimize environmental impact
Surface Sediments as a Sink and Risk Source for Legacy Pops During Waste Management Practices
No full textPersistent organic pollutants (POPs) such as polychlorinated biphenyls (PCBs) and polybrominated diphenyl ethers (PBDEs) are globally recognized contaminants due to their persistence, bioaccumulative properties, and toxicity. Despite regulatory efforts, these compounds continue to enter the environment through improper waste management practices, including shipbreaking activities. This study investigates the PCB and PBDE contamination of marine sediments along a 30 km coastline in Aliaga, T ; uuml;rkiye, involving one of the world's largest shipbreaking yards. Sixteen surface sediment samples were analyzed for 46 PCB and 23 PBDE congeners. The results revealed Sigma 46PCBs ranging from 5.17 to 4750 ng/g and Sigma 23PBDEs from non-detectable to 5053 ng/g. Shipbreaking activities exhibited the highest concentrations, while the sediments sampled close to beaches had the lowest POP contamination. Source apportionment using principal component analysis (PCA) identified distinct contamination patterns, associating higher-chlorinated PCBs with shipbreaking and lower-chlorinated PCBs and PBDEs with land-based industrial emissions and urban runoff. Ecological risk evaluation showed that most sediment samples exceeded sediment quality guidelines, with some PCB and PBDE congeners posing moderate to high risks to benthic ecosystems. Particularly, PCBs 28 and 52 exhibited low to high risk for almost all sediment samples. This study emphasizes the urgent need for improved waste management practices, particularly for POP-containing materials, to mitigate ecological risks. Shipbreaking yards are identified as hotspots for legacy POP contamination, necessitating international collaboration and stricter enforcement of environmental regulations as shipbreaking operations encompass cross-country transfer of wastes. Findings highlight the critical importance of remediation strategies to protect marine environments
Determination of Retrorsine in Thyme Via Molecularly Imprinted Electrochemical Sensor: Validation and Comparison With Chromatographic Technique
No full textPyrrolizidine alkaloid (PA) toxicity is a growing public health concern, especially with rising herbal product use during the pandemic, highlighting the need for accurate exposure data. Retrorsine (RTS), a retronecine-based PA, is highly toxic, causing liver damage, mutagenicity, and DNA cross-linking through metabolic activation. In the light of the need for a practical alternative to monitor pyrrolizidine alkaloid contamination in herbal products, a molecularly-imprinted-polymer sensor (MIPs-GCE) was used for exploring the electrochemical behavior of RTS electrochemical behavior using cyclic voltammetry and the selective detection of RTS using square wave voltammetry. The sensor demonstrated a linear-detection range of 0.05-2 nM, with a LOD of 0.02869 nM. The sensor's accuracy was validated by analyzing thyme samples, detecting RTS concentrations of 0.5168 and0.5345 nM with RSD of 2.4 % and 1.9 %. These results closely aligned LC-MS/MS values of 0.5142 and 0.5267 nM, confirming the sensor's precision. The sensor demonstrated high selectivity, low detection limits, and practical applicability, ensuring reliable and efficient RTS detection in the presence of twenty-eight different PA compounds. This study introduces a novel, reliable, and straightforward method for detecting PAs, with a specific focus on RTS, offering an enhancement to existing analytical techniques and presenting a complementary alternative in chromatographic applications such as LC-MS/MS, HPLC and GC-MS
Technology-Enhanced Multimodal Learning Analytics in Higher Education: a Systematic Literature Review
No full textMultimodal learning analytics (MMLA) is an emerging field of learning analytics and promises a more comprehensive analysis of the learning process thanks to advances in technological devices and data science. The purpose of this study was to explore technology-enhanced multimodal learning analytics in higher education systematically. A systematic literature review was performed using the PRISMA guidelines, and 45 studies published between January 2012 and June 2024 were determined. The findings demonstrated that China, the USA, Australia, and Chile were the leading contributors to MMLA research, with a notable surge in publications in 2021. Audio recorders, cameras, webcams, eye trackers, and wristbands were the most used devices. Most studies were conducted in experiment rooms or laboratories, though studies in authentic classroom settings have been growing. Data were primarily collected during activities such as programming, simulation exercises, presentations, discussions, writing, watching videos, reading, or exams, as well as throughout the entire instructional process, predominantly in computer science, health, and engineering courses. The studies were mainly predictive or descriptive whereas quite a few studies were prescriptive. Frequently tracked data types included audio, gaze, log, facial expression, physiological, and behavioral data. Traditional machine learning and basic statistics were the commonly used analytical methods whilst advanced statistics and deep learning were relatively less utilized. Test performance, engagement, emotional state, debugging performance, and learning experience were the popular target variables. The studies also pointed out several implications and future directions, with a significant portion highlighting the development of interventions, frameworks, or adaptive systems using MMLA. © 2013 IEEE
Nurturing Minds To Navigate the Educational Seas: Approaches for Fostering Critical Thinking and Problem-Solving
No full textThis chapter examines the significance of critical thinking (CT) and problem-solving (PS) in education, specifically emphasizing the training of teachers. The chapter starts with a definition of CT, providing a thorough comprehension of its fundamental components and importance in promoting autonomous reasoning and informed choices. The discourse then shifts to the challenges of fostering CT in educational environments, including prevalent beliefs and structural impediments. A theoretical framework is also established to contextualize the concept within pertinent educational theories, elucidating methods for the integration of CT into teaching and learning processes. The chapter analyzes the significance of CT in teacher education, emphasizing the necessity for pre-service teachers to cultivate these skills personally and to foster them within their classrooms. Finally, it provides pragmatic tactics and methodologies for instructing CT, equipping educators with tools and procedures to effectively include students in analytical inquiry and problem-solving. © 2025 by IGI Global Scientific Publishing. All rights reserved
Localization and implementation of the COAR controlled vocabulary for repositories in Turkey
No full text12-14 Mayıs 2025 tarihleri arasında Japonya, Tokyo'da gerçekleştirilen COAR Annual Conference 2025'te gerçekleştirilen sunumdur.This is the presentation delivered at the COAR Annual Conference 2025, held in Tokyo, Japan, between May 12–14, 2025
Turkmednli: a Turkish Medical Natural Language Inference Dataset Through Large Language Model Based Translation
No full textNatural language inference (NLI) is a subfield of natural language processing (NLP) that aims to identify the contextual relationship between premise and hypothesis sentences. While high-resource languages like English benefit from robust and rich NLI datasets, creating similar datasets for low-resource languages is challenging due to the cost and complexity of manual annotation. Although translation of existing datasets offers a practical solution, direct translation of domain-specific datasets presents unique challenges, particularly in handling abbreviations, metric conversions, and cultural alignment. This study introduces a pipeline for translating a medical NLI dataset into Turkish, which is a low-resource language. Our approach employs fine-tuning the Llama-3.1 model with selected samples from the Medical Abbreviation dataset (MeDAL) to extract and resolve medical abbreviations. Consequently, NLI pairs are refined with extracted abbreviations and subjected to metric correction. Later, the processed sentences are then translated using Facebook's No Language Left Behind (NLLB) translation model. To ensure quality, we conducted comprehensive evaluations using both machine learning models and medical expert review. Our results show that BERTurk achieved 75.17% accuracy on TurkMedNLI test data and 76.30% on the normalized test set, while BioBERTurk demonstrated comparable performance with 75.59% accuracy on test data and 72.29% on the normalized dataset. Medical experts further validated the translations through manual assessment of sampled sentences. This work demonstrates the effectiveness of large language models in adapting domain-specific datasets for low-resource languages, establishing a foundation for future research in multilingual biomedical NLP
Evaluation of in Vivo and in Vitro Toxicity of Chestnut (Castanea Mollissima Blume) Plant: Developmental Toxicity in Zebrafish Embryos Cytotoxicity, Antioxidant Activity, and Phytochemical Composition by LC-ESI-MS/MS
No full textThe search for novel therapeutic agents has led to increasing interest in natural products, driven by the recognition that they may offer safer and more sustainable alternatives to synthetic drugs. This study aims to fill the gap in knowledge regarding the biological activity and safety of the water extract of chestnut (Castanea mollissima) (chestnut), a plant species with a long history of use in traditional medicine, by conducting a comprehensive evaluation of its antioxidant, antidiabetic, and neuroprotective properties. This study presents a comprehensive analysis of the water extract of chestnut for the first time using various bioanalytical antioxidant methods. The extract's inhibitory effects on key enzymes like acetylcholinesterase (AChE), butyrylcholinesterase (BChE), and alpha-glycosidase were evaluated due to their relevance in metabolic and neurodegenerative disorders such as diabetes and Alzheimer's disease. Developmental toxicity and cytotoxicity were assessed using zebrafish (Danio rerio) embryos to evaluate the extract's biological safety. The major phenolic compounds present in the extract were identified by liquid chromatography-electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS), revealing catechin, gallic acid, taxifolin, and epicatechin as the predominant constituents. Antioxidant capacity was determined through radical scavenging assays using 2,2-diphenyl-1-picrylhydrazyl (DPPH center dot) and 2,2 '-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS center dot+), alongside ferric (Fe3+), cupric (Cu2+), and Fe3+-TPTZ (ferric-tripyridyltriazine) reducing power assays. The findings highlight the significant antioxidant, antidiabetic, and neuroprotective potential of the chestnut water extract, supporting its prospective use in pharmaceutical and nutraceutical applications
Numerical and Experimental Investigation of Aspect Ratio Effect on Aerodynamic Performance of Naca 4415 Airfoil Section at Low Reynolds Number
No full textIn this study, the effect of aspect ratio on the aerodynamic coefficients is investigated for a NACA 4415 airfoil profile. Four different aspect ratios which are 3, 5, 7, and 9 are evaluated with the computational fluid dynamics (CFD) simulations and the experiments. The CFD studies are performed using a threedimensional (3D) computational domain and by using the k-omega shear stress transport (SST) turbulence model for turbulence calculations. The measurements of the aerodynamic forces are carried out in open jet type wind tunnel using a three-component balance. CFD and experimental studies are performed at angles of attack from 0 degrees to 25 degrees and Reynolds number 85middle dot>103. The results show that as the aspect ratio increases, separation points move towards the leading edge of the airfoil and the stall angle reduces. Furthermore, it is observed that the lift coefficients increase with the increasing aspect ratio. The results obtained indicate that there is a harmony between the experimental data and the CFD solutions
Exploring Women's Visceral Engagement With Electric Appliances in Turkish Kitchens
No full textThis paper investigates the narratives and experiences of women regarding cooking with small electric appliances. It intends to offer a novel perspective on gender and technology studies by foregrounding the visceral dimensions of these encounters. Drawing from a larger project on the historical representations and lived experiences of domestic technologies in Turkey, it highlights how the embodied dimensions of cooking shape the ways women perceive, adapt, and integrate technology into their daily lives. This study is based on interviews with twenty-seven women across five cities in Turkey conducted between 2022 and 2024. While small electric appliances are often marketed for convenience and efficiency, we argue that focusing solely on their instrumental benefits neglects the complex and visceral ways women engage with technology. A visceral approach remains an undervalued lens for understanding these interactions, particularly as women's embodied knowledge and relationships to kitchen appliances challenge scholarship that prioritizes progress and efficiency. As active agents, many women resist these technologies, viewing them as misaligned with the embodied knowledge and practices integral to cooking. By reevaluating the relationship between food, gender, and technology, we propose that such disengagement challenges the positivist reliance on science and technology, emphasizing the importance of embodied knowledge and everyday practices in shaping women's interactions with technology