Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Kaygusuz, Abdullah(35)
- Sipahi, Ferkan(35)
- Karsli, Orhan(34)
- Dokuz, Abdurrahman(30)
- Duran, Celal(30)
- Kandemir, Raif(29)
- Ozdes, Duygu(28)
- Maden, Nafiz(27)
- Uzun, Sevda(27)
- Merdan, Mehmet(26)
- Vural, Alaaddin(26)
- Öztürk, Serkan(25)
- Araz, Onur(24)
- Kulakaç, Nurşen(24)
- Ashyralyyev, Charyyar(23)
- Yildiz, Salih(23)
- Yilmaz, Ozgur(23)
- Doğan, Kadir Caner(21)
- Arslan, Mehmet(20)
- Aydin, Faruk(20)
- Doğru, Bülent(20)
- Bayraktar, Alemdar(19)
- Kankal, Murat(19)
- Ayaydin, Hasan(18)
- Baltaci, Cemalettin(18)
- Yolcu, Halil(18)
- Cakir, Tufan(17)
- Cengiz, Ekrem(17)
- Demir, Selim(17)
- Gücer, Mehmet Ali(17)
- Akaryali, Enver(16)
- Artan, Seyfettin(16)
- Hayaloğlu, Pınar(16)
- Kaya, Afşin Ahmet(16)
- Tosunoğlu, Büşra(16)
- Uysal, Ibrahim(16)
- Kurt, Kemal(15)
- Ozturk, Samet(15)
- Reis, Hatice Catal(15)
- Aksakal, Vecihi(14)
Yayınlar
- MakaleYalnız künye2026A Comprehensive Deep-Learning Framework Integrating Lesion Segmentation and Stage Classification for Enhanced Diabetic Retinopathy Diagnosis
İncir, Ramazan; Bozkurt, Ferhat
Diabetic retinopathy (DR), one of the most prevalent microvascular complications of diabetes, stands as a leading cause of vision loss globally. Due to its asymptomatic nature in early stages, delayed diagnosis and staging may result in irreversible visual impairment. Therefore, accurate and simultaneous lesion segmentation and stage classification of DR are of critical clinical importance. In this study, a two-stage, end-to-end, holistic framework is proposed for automated DR diagnosis. In the first stage, an Improved U-Net architecture enhanced with residual blocks and additional convolutional layers is employed to segment small and low-contrast lesions such as microaneurysms, hemorrhages, and hard/soft exudates with high precision. Model hyperparameters are optimized using the harmony search algorithm to enhance training efficiency. In the second stage, lesion-based weight maps obtained from the segmentation step are applied to fundus images from the APTOS dataset, generating enriched inputs for classification. A vision transformer (ViT)-based model, augmented with a Convolutional Block Attention Module (CBAM), is utilized to improve feature extraction. In addition, features derived from ViT are further refined using a graph convolutional network (GCN) and traditional machine-learning classifiers. The proposed approach achieves high performance in multi-class DR stage classification. Compared to existing studies, the framework demonstrates notable improvements in both segmentation and classification accuracy, offering a robust and generalizable solution for DR diagnosis.
- Derleme MakaleYalnız künye2026A review study of recent advancements in polymer heat exchanger technology in the aspect of heat transfer
Celen, Ali; Budak, Selahattin; Celen, Pınar; Dalkılıç, Ahmet Selim
Many applications use metallic heat exchangers, but some operating conditions, such as desalination, exhibit wear and corrosion problems. Thus, it is important to develop and use alternative materials to metals for such conditions. Although polymers have low thermal conductivity, corrosion resistance, cost-effectiveness, and lightweight, polymer heat exchangers can be constructed to overcome this problem. They were introduced in the last decades; advancements in 3D printing technology help manufacture complex, novel, and thin heat transfer surfaces. Although review studies are limited, recent research has not explored heat transfer-based reviews of heat exchangers produced by additive manufacturing and polymer hollow fibre methods. In this study, polymer heat exchanger works were reviewed and classified according to tube diameter as polymer and polymeric hollow fibre heat exchangers as the most updated ones. Generally, the studies focused on the thermal performance of heat exchangers constructed with metal and polymer materials, and the results were compared to determine the usability of polymer-based ones. As a result, polymeric hollow fibre heat exchangers may compete with metallic ones due to low wall resistance and enhanced heat transfer surface area because of the development of manufacturing technology. Also, the cost and weight of polymeric hollow fibre exchangers are lower, and they can be operated under corrosive conditions. Finally, it is obvious that increased research is needed to enhance the properties of polymer materials to increase the performance of this type of heat exchanger.
- MakaleYalnız künye2026Beyond reactive displacement: anticipatory mobility, climate governance, and the climate passport
Limon, Onur; Gürdal Limon, Elif
This article examines how existing mobility governance frameworks can be re-theorized to better align with the temporal dynamics of climate risk and the conditions shaping mobility decision-making. The analysis demonstrates that current mobility regimes systematically privilege discretionary, event-based protection while offering limited legal predictability or rights-based recognition for anticipatory and incremental mobility. Building on this analysis, the article develops the Climate Passport as a diagnostic framework rather than an operational policy instrument. The framework specifies three governance criteria that any adequate anticipatory mobility regime would need to satisfy: early recognition of climate risk before displacement becomes unavoidable, rights-based and legally predictable status for those facing slow-onset environmental harm, and institutional coherence across the currently fragmented domains of migration, refugee protection, and climate adaptation governance. Informed by the historical Nansen Passport and grounded in human rights and climate justice scholarship, the framework offers a systematic lens for examining how institutional architectures structure the timing, legitimacy, and accessibility of mobility under climate change. By reframing climate-related mobility as a structurally embedded component of adaptation rather than an exceptional failure of in situ resilience, the article contributes to interdisciplinary debates on migration, adaptation, and global justice.
- MakaleYayıncıda açık erişim2026Chitosan-Based Colloidal Delivery Systems as Natural Carriers for Propolis: Physicochemical Characterization and Application in Walnut Sausages
Mesci Dindar, Esra; Arserim-Uçar, Dılhun Keriman; Ayna, Adnan
In this study, a chitosan-based colloidal delivery systems (CDs) was developed as a natural delivery system for phenolic compounds from propolis extracts obtained via accelerated solvent extraction (ASE) and evaluated for improving the functional properties of walnut sausages. ASE propolis extract was incorporated into a chitosan (C)-based colloidal delivery system formulated with varying concentrations of diacetyl tartaric acid ester of mono- and diglycerides (DATEM) and lecithin (L). The formulation containing 2.5% chitosan, 12% DATEM and propolis, with a particle size of 265.9 nm and a ζ-potential of +40.8 mV, was selected for further characterization and food applications. The phenolic encapsulation of CDs depended on the structural characteristics of individual phenolic compounds, with chrysin (70.51%), vanillin (65.12%), and benzoic acid (51.26%) exhibiting the highest encapsulation; CD-treated walnut sausages decreased the lipid oxidation and improved the storage stability of the walnut sausages during storage. These findings indicate that the chitosan-based colloidal delivery system is a promising carrier for improving the encapsulation of propolis phenolics in walnut sausages.
- MakaleYalnız künye2026LC–MS/MS Phenolic Profiling and Antioxidant, Antimicrobial, and Antidiabetic Activities of Caucasian Propolis
Gültekin, Deniz Canbolat; Turan, İbrahim; Akmeşe, Osman; Gültekin, Ergün; Demir, Selim; Aliyazicioglu, Yüksel
Propolis is a natural bee product rich in phenolic and flavonoid compounds and is well known for its remarkable biological properties. In this study, the phenolic compositions of propolis samples collected from various localities in the Caucasus region of Türkiye were characterized using LC–MS/MS, and their antioxidant, antidiabetic, and antibacterial activities were also evaluated. LC–MS/MS analyses identified caffeic acid, ferulic acid, and p-coumaric acid as the major phenolic acid compounds, while pinocembrin, chrysin, and galangin were determined as the major flavonoid constituents. Overall, these findings indicate that the antioxidant capacity of propolis samples obtained from different regions may be particularly associated with these key phenolic and flavonoid compounds. Consistent with this composition, total phenolic and flavonoid contents ranged from 34.72 to 120.54 mg GAE/g and 6.88 to 47.19 mg QE/g, respectively. The extracts exhibited a relatively high antioxidant capacity, with FRAP values between 60.47 and 311.87 mg TE/g and DPPH IC50 values ranging from 215.80 to 37.96 µg/mL. Regarding antidiabetic activity, the IC50 values for α-amylase and α-glucosidase inhibition were determined as 5.86–3.47 and 12.22–5.02 mg/mL, respectively, indicating a pronounced antidiabetic potential. Antimicrobial analyses revealed activity against E. faecalis, B. cereus, E. coli, K. pneumoniae, and C. albicans. Overall, this study provides a comprehensive LC–MS/MS-based phenolic profile of Caucasian propolis and demonstrates its antioxidant properties together with its antidiabetic potential.
- MakaleYalnız künye2026Purity of Density Operators for Non-Orthogonal Quantum States with Bounds and Applications to Quantum Fisher Information
Amirov, Orhan; Celik, Necati; Karabacak, Mesut
In this study, we investigate the purity of density operators constructed from non-orthogonal quantum states. Starting from a general statistical mixture of normalized states, we derive an explicit expression for the purity in terms of the associated probability distribution and the pairwise overlaps between the states, quantified by |⟨ψi|ψj⟩|2. This formulation clearly separates the contributions arising from classical probability weights and quantum interference effects induced by non-orthogonality. To further analyze the impact of state overlaps, we introduce an average overlap quantity that captures the global contribution of non-orthogonal components. Based on this representation, we establish upper bounds for the purity using both global and local overlap parameters. In particular, we show that the purity can be effectively controlled by the maximum pairwise overlap, eliminating the need to compute all individual inner products explicitly. A refined bound is also obtained by incorporating local overlap measures, leading to a tighter characterization of the system. In addition, we develop a general framework connecting overlap-based purity bounds with quantum Fisher information (QFI) in parameter-dependent quantum systems. We show that the overlap structure can be used to indirectly control and estimate the behavior of QFI, especially in cases where direct spectral analysis is not tractable. The applicability of the proposed approach is demonstrated through an explicit example involving non-orthogonal qubit states. These results provide a practical framework for estimating the mixedness of quantum states and offer useful insights into the interplay between non-orthogonality, purity, and quantum Fisher information in quantum information theory.
- Derleme MakaleYalnız künye2026Immunosuppressant adherence levels in kidney transplant recipients measured by electronic monitoring devices: A systematic review and meta-analysis
Tuncer, Metin; Yalcinkaya, Turgay; Erol, Ahmet; Özalp, Cemal
Background: Kidney transplantation improves survival and quality of life in patients with end-stage renal disease; however, long-term graft success depends on adherence to immunosuppressive therapy. Objective: To quantify adherence levels among kidney transplant recipients using electronic monitoring devices. Methods: PubMed, Web of Science, Scopus, and the Cochrane Library were systematically searched for studies published between 2000 and 2025. A random-effects meta-analysis was conducted including studies that assessed adherence using electronic monitoring devices. Results: Seven studies with a total of 1025 kidney transplant recipients were included. The pooled mean adherence measured using electronic monitoring devices was 94.39%. In studies with monitoring durations of three months or longer, adherence decreased to 90.50%. Substantial heterogeneity was observed across studies. Conclusion: Although electronically measured adherence appears generally high, its decline over longer monitoring periods indicates that adherence is dynamic and may decrease over time. However, these estimates should be interpreted cautiously because electronic monitoring devices cannot confirm actual medication ingestion. Furthermore, intentionally non-adherent patients may be less likely to participate in or remain engaged with electronic monitoring studies and may therefore be underrepresented, potentially leading to an overestimation of true adherence. Even modest reductions in adherence may carry important clinical consequences, underscoring the need for sustained monitoring.
- MakaleYayıncıda açık erişim2026Maternal chrononutrition during pregnancy and the composition of intestinal and placental microbiota
Kurtbeyoglu, Emine; Caferoglu Akin, Zeynep; Ozdemir, Fatma
Background: Disrupted feeding timing may alter microbiota profiles and contribute to metabolic disturbances. This study aimed to investigate the impact of maternal chrononutrition during pregnancy on maternal gut and placental microbiota. Methods: This study was conducted between April 2022 and February 2023 at Erciyes University Faculty of Medicine Hospitals and Kayseri Private Dünyam Hospital in Kayseri, Türkiye, among healthy pregnant women with predominantly daytime feeding (pDT, n = 10) or predominantly nighttime feeding (pNT, n = 10). A questionnaire was administered, and three-day food consumption diaries were recorded at both 20–26 and 32–36 weeks of gestation. Fecal samples were collected at 32–36 weeks of gestation, and placental samples were collected at birth and stored at -80 °C until analysis. Results: Although total daily energy intake at both gestational periods (20–26 and 32–36 weeks) was similar between the groups, gestational weight gain was greater in the pNT group [16.30 (5.25) kg] than in the pDT group [11.90 (3.41) kg] (p = 0.039). Compared with the pDT group, the Firmicutes: Bacteroidetes ratio was higher in the maternal gut microbiota of the pNT group. Furthermore, Bacilli, Lactobacillales, Lactobacillaceae, and Lactobacillus were significantly more abundant in the pDT group than in the pNT group (p < 0.05). The intestinal and placental microbiota of the pDT and pNT groups had similar alpha and beta diversity. Conclusions: Our findings suggest that predominantly daytime or nighttime feeding during pregnancy may influence the composition of maternal gut and placental microbiota. These microbiome alterations may have potential implications for maternal and infant health; however, larger longitudinal studies are needed to clarify their long-term relevance, including possible links with fetal programming.
- Derleme MakaleYalnız künye2026A systematic and evolutionary analysis of software design pattern detection and recommendation approaches (2015–2025)
Turk, Salih; Coskuncay, Ahmet
Context: Automated detection and recommendation of software design patterns is crucial for software maintenance, reverse engineering, and architectural quality. Despite decades of research, the field has undergone a significant transformation with the emergence of deep learning and large language models (LLMs), leading to a fragmented landscape of methodologies and evaluation settings. Objective: This study aims to provide a systematic and evolutionary synthesis of design pattern detection and recommendation approaches published between 2015 and 2025, categorizing them into distinct technological paradigms and identifying open research challenges. Method: Following Kitchenham’s evidence-based software engineering guidelines and PRISMA principles, a systematic literature review was conducted. We executed a structured search on the Web of Science database, identifying 212 initial records. After rigorous multi-stage screening and quality assessment, 66 primary studies were selected for final synthesis and analysis. Results: The evolution of the field is characterized through six distinct paradigms: Rule-Based, Graph-Based, Feature-Driven Machine Learning, Representation Learning (Deep Learning), Hybrid, and Contextual Intelligence (LLM). Findings reveal a clear methodological shift from structural exactness to semantic and contextual understanding. However, the analysis also identifies a high concentration on specific datasets (JHotDraw and P-MARt) and a lack of standardized benchmarks for variant detection and multi-modal analysis. Conclusions: While LLM-based approaches show promise in handling pattern variants and semantic context, the field requires more diverse benchmarks and explainable models. This review provides a comprehensive research roadmap, emphasizing the need for multi-modal frameworks and industry-scale validation to bridge the gap between academic research and practical software engineering.
- MakaleYalnız künye2026Analysis of the Changes in River Water Quality and Quantity with Innovative Trend Methods
Şan, Murat; Nacar, Sinan; Bayram, Adem; Kankal, Murat
This study aims to investigate trends and changes in water quality (WQ) and quantity parameters under low-medium-high groups and seasonal trends employing innovative methods. The data were collected from three monitoring stations in the Broad River Basin (USA). The data spanning the years 1987–2020, on water temperature (WT), dissolved oxygen (DO), discharge (Q), and electrical conductivity (EC) parameters, were used for analysis. A combination of innovative trend analysis with binary segmentation (ITABS) was proposed for objective group separation for the purpose of group trend analysis, allowing for the capture of changes in both location and shape parameters. Recently proposed innovative polygon trend Wilcoxon significance test (IPTWST) and innovative polygon trend analysis (IPTA) were also used to examine seasonal trends for the first time, providing a graphical and qualitative analysis of seasonal behavior. The seasonal Mann-Kendall test was also used to compare them. The ITABS method grouped WQ parameters into more than one group, except for the DO parameter. Especially from EC and Q parameters, it is concluded that the trends in groups do not always contribute to the overall trend or at the same rate. Group trends, therefore, should not be ignored for water resources management. According to IPTA and IPTWST, although there is no clear trend in certain seasons, it is evident that seasonal trends exist, and the Q and EC parameters have a more complex structure. The IPTWST method has the advantage of being able to graphically show the inter-seasonal behavior, although it is identical to the seasonal Mann-Kendall method.
- Kitap BölümüYalnız künye2026Privacy, Fairness, and Model Risk Governance in Sustainable People Analytics
Şimşek, Tuğçe; Şimşek, Ahmet Bahadır
Whilst sustainability targets are driving organisations to make more intensive use of human data, this trend is transforming HR analytics from a reporting tool into a component of decision-making architecture. This transformation is expanding the scope of data collection, increasing the visibility of employees, and intertwining privacy, fairness, perceptions of surveillance, and model risk within the same process. This study addresses the question of how this interplay can be managed at the project level. A literature review has been combined with an analysis of publicly available corporate documents, from which a compact toolkit for sustainable HR analytics has been derived. The toolkit is structured around defining project boundaries, documenting data and model assumptions, matching risks with controls, and ensuring transparency and human oversight. In this way, the chapter provides a practical framework that ensures analytical capacity is considered alongside organisational legitimacy and employee trust.
- MakaleYalnız künye2026Oncophorus integerrimus (Bryophyta) and Nardia pacifica (Marchantiophyta) new to Türkiye
Batan, Nevzat; Köroğlu, Zeynep Gizem; Erata, Hüseyin; Mamontov, Yuriy S.
Oncophorus integerrimus Hedenäs and Nardia pacifica Bakalin are new reported from Türkiye and Southwest Asia, following a recent bryological excursion to the Demirkapı plateau of Trabzon in Türkiye. The species’ brief descriptions and illustrations are presented together with their locality information in Türkiye, ecological and geographical distribution notes, and comparisons with morphologically similar taxa.
- MakaleYalnız künye2026How does social expenditure affect the fiscal balance in European Union countries?
Sentürk, Suat Hayri; Karakurt, Birol; Keyifli Sentürk, Nazli
This study examines the relationship between social expenditures and fiscal balance in 27 European Union member states over the period 2000–2022. Using a panel data framework, the analysis focuses on four disaggregated categories of social expenditure: health, education, pensions, and social protection. The study employs the Dumitrescu-Hurlin panel causality test to identify the direction of causality and applies Generalized Method of Moments (GMM) estimations to address potential endogeneity issues. The results reveal a unidirectional causal relationship running from fiscal balance to social expenditure categories. In addition, the findings indicate that fiscal balance exerts a significant constraining effect on all dimensions of social spending: improvements in fiscal balance (i.e. reduced deficits) are associated with decreases in social expenditures. Demographic factors also play an important role. Population ageing increases spending on pensions, health, and social protection, while a larger young population is associated with higher education expenditures. Institutional quality-measured by the rule of law-and national income positively influence social spending, whereas domestic savings and inflation have negative effects. Unemployment reduces spending on health and education but increases expenditures on social protection. Overall, the results highlight a fundamental policy dilemma: fiscal consolidation pressures may conflict with the need for social protection, particularly in the context of ageing European populations. By providing the first comprehensive analysis of how fiscal balance simultaneously affects multiple dimensions of social expenditure in EU countries, this study offers important insights for policymakers seeking to reconcile fiscal sustainability with inclusive social policy frameworks. The findings suggest that fiscal rules should be designed to safeguard essential social investments while maintaining budgetary discipline.
- Kitap BölümüYalnız künye2026Green-Synthesized Nanocomposites for Sustainable Fuel Desulfurization: Advances and Challenges
Ozkan, Abdullah; Ozkan, Vildan; Bozbeyoglu, Pinar; Altuner, Elif Esra
The mounting global demand for energy signifies that we must depend on fossil fuels, which engenders environmental degradation and precipitates the emission of substantial quantities of sulfur oxides (SOx). Protecting themselves from environmental pollution is a top priority for many countries. Proper removal of sulfur- containing compounds from fossil fuels is becoming a major focus. Fuels such as diesel, fuel oil, and gasoline are particularly important in this regard. Fuels such as diesel, fuel oil, and gasoline are particularly important in this regard. The numerous negative consequences of traditional hydrodesulfurization (HDS) methods are what researchers focus on, and these methods are limited. Some examples of these negative effects include higher costs, the use of too much pressure and temperature, and using too much hydrogen. Scientific studies show that biosourced nanocomposite materials are good for desulfurization methods because they can reduce the potential negative consequences. Using raw materials such as microorganisms, biopolymers, and plant extracts is one of the most important ways to increase energy efficiency and eliminate chemical emissions. The large surface areas, enhanced active site homogeneity, and diverse functional groups of nanocomposite materials obtained from such biosourced raw materials make them promising candidates for use in adsorptive and oxidative desulfurization processes. Metal- metal oxide (Fe, Ni, Cu, TiO2) and carbon- based (graphene, carbon nanotube, and biochar- supported) nanocomposites are particularly preferred for achieving high sulfur removal with low energy consumption. The provision of information on the production methods, chemical properties, sulfur removal methods, and recent scientific research on biosourced nanocomposites is the purpose of this section. In addition, the environmental benefits, economic benefits, and potential roles of biosourced materials in alternative energy systems are discussed.
- MakaleYalnız künye2026Beeswax Waste-Derived Pyrolysis Liquid as a Novel Multifunctional Bioactive Fraction: An Integrated Chemical and Biological Evaluation
Gül, Abdulkadir
In this study, beeswax waste, a low-value by-product of apiculture, was converted into a liquid fraction with bioactive potential through pyrolysis-assisted thermochemical transformation. The LC–MS/MS-based chemical profile, total phenolic content (TPC), total flavonoid content (TFC), antioxidant responses, and antibacterial, antidiabetic, anti-inflammatory, and anticholinesterase activities of beeswax waste pyrolysis liquid (BWPL) were investigated. The TPC and TFC values were determined as 95.30 ± 1.13 mg GAE/L and 51.67 ± 1.12 mg QE/L, respectively. LC–MS/MS analysis revealed benzoic acid and vanillin as the predominant compounds, along with various phenolic acids and flavonoid derivatives. BWPL showed 51.83 ± 1.51% inhibition in the ABTS•⁺ assay and 9.71 ± 0.28% inhibition in the DPPH assay. It also exhibited measurable redox capacity in Fe3+ and Cu2+ reducing power assays. In antibacterial assays, BWPL produced inhibition zones against all tested strains at 1 mg/mL and against E. coli and E. faecalis at 500 µg/mL. The IC50 values of BWPL for 5-LOX and α-glucosidase were 38.17 µg/mL and 1503.0 µg/mL, respectively. In addition, the IC50 values for AChE and BChE were calculated as 112.38 ± 0.87 mg/mL and 13.01 ± 0.42 mg/mL, respectively. PCA and correlation analyses indicated the multidimensional relationships between the LC–MS/MS-based chemical profile and biological activities. Overall, the pyrolytic conversion of beeswax waste into a chemically complex liquid fraction provides a preliminary scientific basis for waste valorization and for further investigation of pyrolysis-derived bioactive fractions.
- MakaleYalnız künye2026Food reward sensitivity mediates the association between chemosensory pleasure and adiposity in young adults
Kurtbeyoglu, Emine; Caferoglu Akin, Zeynep; Aslan Gonul, Busra
This cross-sectional study investigated whether food reward sensitivity mediates the association between chemosensory pleasure and adiposity in young adults. A total of 300 university students completed the Chemosensory Pleasure Scale (CPS), the Power of Food Scale (PFS), and the Beck Depression Inventory (BDI), alongside anthropometric assessments. Chemosensory pleasure was strongly and positively associated with food reward sensitivity (β = 0.620, p < .001), and this relationship remained robust after adjustment for age, sex, BMI, and depressive symptoms. While chemosensory pleasure showed only weak direct associations with adiposity indicators, food reward sensitivity was positively associated with body fat percentage. Mediation analyses demonstrated a significant indirect effect of chemosensory pleasure on body fat percentage through food reward sensitivity (indirect effect = 0.105; 95% CI: 0.039–0.179), indicating an indirect-only pathway. Although sex-stratified analyses suggested some pattern differences, moderated mediation analyses did not support a significant moderating role of sex. These findings suggest that chemosensory pleasure may be related to adiposity primarily when accompanied by increased food reward sensitivity. The results highlight food reward sensitivity as a potential psychological mechanism linking sensory responsiveness to adiposity.
- MakaleYalnız künye2026Factors effecting users’ intention to re-visit online secondhand clothing shopping platforms and the mediating role of satisfaction
Avci, Ibrahim
With the rise of online shopping, platforms and applications for secondhand clothing shopping have arisen. Consumers utilize these platforms and applications to buy secondhand garments that they require and sell the things they don’t use. It is critical to identify the characteristics that influence users’ intentions to re-visit these platforms and services, as well as their satisfaction. In this context, the goal of this research is to determine the effects of economic value, interaction with other customers, information privacy concerns, and environmental awareness on the intention to re-visit online secondhand clothing shopping platforms, as well as to uncover the mediating role of platform satisfaction in these effects. In order to achieve this goal, data was gathered using an online survey, which 430 customers completed altogether. According to the findings of the analysis, satisfaction, economic value, interaction with other customers, and environmental awareness all have significant positive effects on the intention to re-visit online secondhand clothing shopping platforms, whereas information privacy concerns have a negative. Furthermore, satisfaction was found to play a mediating role in the association between intention to re-visit online secondhand clothing shopping platforms and economic value (full mediation) as well as interaction with other customers (full mediation). These results provide theoretical implications for identifying the factors that influence users to re-visit second-hand shopping websites and managerial implications for redesigning platforms with a focus on customer satisfaction.
- Kitap BölümüYalnız künye2026Artificial 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.
- MakaleYalnız künye2026Variable-speed retrofit of a legacy slurry pumping duty: Measured energy reduction with proxy-based operability assessment
Külekçi, Gökhan; Aygün, Muhammet; Göller, Zafer; Yildiz, Onur
Legacy ore beneficiation plants often operate slurry pumps at fixed speed despite variable sump inflow and slurry conditions, which can increase electricity demand and complicate level control. This study evaluates a variable-speed retrofit in which a variable frequency drive was integrated with level feedback and proportional-integral control for a legacy slurry pumping duty. Measured average operating power decreased from 25.6 kW before retrofit to 11.6 kW after implementation, documenting a substantial reduction in electrical demand under the observed operating regime. Because hydraulic-duty data were unavailable for both periods, this result is not presented as a duty-normalised specific-energy reduction. Process interpretation was supported by a bounded proxy framework based on a flowsheet-consistent solids band over 177 days. The proxy analysis linked solids variability to derived slurry density behaviour and operability implications. Overall, the study documents measured electrical-demand reduction and provides a framework for discussing retrofit performance where plant instrumentation is limited.
- Derleme MakaleYalnız künye2026Red mud as a source of scandium: A review
Kumaş, Cavit; Prasetia, Hendra; Astuti, Widi; Sumardi, Slamet; Mufakhir, Fika Rofiek; Fasya, Muhammad Rizki Firdaus
The residue produced during the extraction of aluminum from bauxite ore via the Bayer process is known as red mud (RM), with 0.5–2.5 t of RM generated for each ton of alumina produced. Due to its highly alkaline nature (pH = 10.0–12.5), RM poses significant environmental threats and requires large storage areas. To address this environmental concern and develop sustainable way to utilize RM, extensive research has been conducted in fields such as soil remediation, metal recovery, steel production, catalytic reactions, cheap adsorbents for pollutant removal, ceramics, brick production, and pigment and slag additives for paint production. While early studies on metal recovery from RM focused on the recovery of metals such as Fe and Al, recent years have seen an increase in research on Sc recovery from RM, as RM is now recognized as an important source for Sc. This review examines in detail methods such as direct acid leaching, bioleaching, acid baking, and water leaching used for Sc recovery from RM. Additionally, data on the recovery of not only Sc but also other metals from RM are presented.