Aksaray Üniversitesi Kurumsal Akademik Arşivi
DSpace@Aksaray, Aksaray Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
Overcoming career plateau: the role of aı in shaping women’s career paths in finance
(Science Publishing Corporation Inc., 2025) Karademir, Metin
This study explores the relationship between artificial intelligence (AI) and career plateaus among women working in corporate finance roles in Istanbul. Semi-structured interviews were conducted with seven professionals occupying junior, mid-level, and managerial positions. The interviews focused on everyday applications of AI, including performance dashboards, promotion lists, learning recommendations, and financial forecasting and reporting. Perceptions of both opportunities and challenges were examined, together with their influence on feelings of career stagnation or progress. A reflexive thematic analysis was applied. The findings suggest that AI helps make employee contributions more visible and supports performance discussions with shared evidence. Personalized learning recommendations were described as valuable, particularly for early-career employees seeking direction. However, several difficulties emerged. Some aspects of work, such as coordination, mentoring, and handling crises, were often overlooked by AI metrics. The constant presence of scoring mechanisms was reported to create pressure and anxiety. In addition, decision-making processes sometimes slowed down when AI outputs were mediated by unclear committee structures. More positive results were observed when AI was used in an advisory role, supported by transparent human review and regular bias checks. Career planning was more effective when personal circumstances such as mobility, language, and caregiving responsibilities were recognized. Although based on a small and non-random sample, the study offers evidence from Istanbul and highlights pathways for broader future research.
Sediment-based microbial fuel cell sensor for detecting boron mine effluent pollution in aquatic habitats
(Elsevier Inc., 2025) Türker, Onur Can; Yakar, Anıl
The effluent from boron (B) mines poses a significant threat to aquatic ecosystems, necessitating ongoing monitoring of B pollution. Conventional monitoring techniques necessitate expensive chemicals, equipment, and intricate procedures. This experiment involved the design of a sediment microbial fuel cell (SMFC) as a cost-effective, user-friendly, and self-sustaining early warning sensor for detecting B mine effluent pollution in aquatic ecosystems. The main operational principle of the SMFC-based sensor relies on the attenuation of the electrical signal caused by the suppression of bacterial metabolic activity due to B mine effluent. This sensor is integrated with an innovative power management system that signals B mine pollution via LED illumination. Statistical analysis indicated that the SMFC sensor effectively detected B mine effluent pollution at concentrations below 250 mg/L. The maximum bioremediation rate for B was 31 %, meaning that it was retained on the anode surface of the sensors and influenced bacterial metabolism, thereby producing voltage signals for the SMFC sensor. The abundance of microbes varied with concentrated B mine effluent, with Acinetobacter being the predominant bacterial genus in the sensor matrix. This research utilizes B pollution detection and introduces a novel methodology for the advancement of environmental sensors.
Isolation, characterization, antimicrobial and cytotoxic properties of Cydalima perspectalis silk proteins
(Elsevier B.V., 2025) Kılcı, Leyla; Altun, Nurver; Bozdeveci, Arif; Karaduman Yeşildal, Tuğçe
Natural silk produced by silkworms and some arthropod spiders stands out as a traditional protein polymer. Fibroin and sericin, which are silk proteins obtained from cocoons, have been used in the medical field for centuries. This study is the first to evaluate the physicochemical properties and biological activities of these proteins, which were isolated from the boxwood moth (Cydalima perspectalis), as a biotechnological material. This followed this separation of the fibroin and sericin proteins obtained from the cocoons using a high-temperature and high-pressure method. The morphological, thermal, structural, and elemental properties of the obtained fibroin and sericin were analyzed using SEM, FTIR, TGA, XRD as well as elemental analysis. These studies were followed by biocompatibility and antimicrobial studies of the proteins. L929 (mouse fibroblast) cells were used in cytotoxicity assays, with cell viability evaluated using the MTT method. The study showed that the serine had no cytotoxic effect on NIH3T3 cells, whereas fibroin was cytotoxic for L929 cells. Fibroin surfaces exhibited antimicrobial activity by supporting the adhesion of, Staphylococcus aureus, Bacillus subtilis, Escherichia coli, and the fungus Candida albicans. This study demonstrates that silk proteins derived from other organisms can be used as alternative biomedical materials.
Sustainable arsenic removal using iron-oxide-coated natural minerals: Integrating adsorption, machine learning, and process optimization
(Elsevier B.V., 2025) Dönmez Öztel, Merve; Alver, Alper; Akbal, Feryal; Altaş, Levent; Kuleyin, Ayşe
We investigated the sustainable removal of arsenite (As(III)) and arsenate (As(V)) from water using iron oxide-coated pumice (IOCP), sepiolite (IOCS), and zeolite (IOCZ) integrated with machine learning (ML) and optimization techniques. Adsorption kinetics followed a pseudo-second-order model, while equilibrium data were best represented by Langmuir and Sips isotherms, indicating chemisorption on heterogeneous surfaces. To predict and optimize performance, Artificial Neural Networks (ANN), Extreme Gradient Boosting (XGBoost), and Random Forest (RF) were applied, with cross-validated results demonstrating the superior accuracy of ANN (R2 up to 0.96, RMSE 20–40 µg L-1). Coupling ANN with Genetic Algorithm and Bayesian Optimization identified global optima for pH, contact time, and initial concentration, yielding residual concentrations of ∼8.1 µg L-1 (IOCP-As(III)), ∼42 µg L-1 (IOCS-As(III)), and ∼1.7 µg L-1 (IOCZ-As(III)), and ∼1.3 µg L-1 (IOCP-As(V)), ∼28 µg L-1 (IOCS-As(V)), and ∼6.2 µg L-1 (IOCZ-As(V)). Compared with trial-and-error conditions (residuals of ∼112 µg L-1 for IOCS-As(III) and ∼27 µg L-1 for IOCP-As(V)), the optimized systems reduced chemical usage by up to 65 %, lowered treatment costs to ∼0.004–0.007 $ mg-1 As, and delivered positive environmental gains exceeding 80 % for IOCP-As(V) and IOCZ-As(III). These results demonstrate that natural mineral-based sorbents, when coupled with AI-driven optimization, can achieve near-complete removal of both As(III) and As(V) at low cost and with reduced environmental footprint, offering a technically robust and scalable framework for sustainable water treatment.
Evaluation of endoscopic findings in gastrointestinal tract wall thickening detected on abdominal radiological imaging: a two-center retrospective descriptive study
(Multidisciplinary Digital Publishing Institute (MDPI), 2025) Ergin, Mustafa; Kıvrakoğlu, Fatih
Background and Objectives: The clinical significance of gastrointestinal (GI) tract wall thickening incidentally detected on abdominal imaging remains unclear. This study aimed to examine the relationship between GI tract wall thickening seen in imaging and what is found during endoscopy, as well as to explore how hemoglobin, C-reactive protein (CRP), and albumin levels can help predict the presence of malignancy. Materials and Methods: In this retrospectively designed study, 209 patients were included who were found to have GI tract wall thickening on radiological imaging and underwent endoscopy within 90 days. Endoscopic findings and laboratory data were recorded. Patients were compared based on the presence or absence of malignancy, and a receiver operating characteristic analysis was performed. Results: Malignancy was detected in 8.5% and 10.9% of the upper and lower GI tract cases, respectively. In patients with upper GI tract malignancy, hemoglobin levels were significantly lower and CRP levels were higher (p < 0.001 and p = 0.015, respectively). Similarly, in lower GI tract malignancy, hemoglobin levels were lower (p = 0.033), whereas CRP did not show a significant difference (p = 0.115). Cut-off values were determined as 11.8 g/dL for hemoglobin and 40.75 g/L for albumin, and both were found to have high negative predictive values. Conclusions: GI tract wall thickening detected radiologically is clinically significant and should be further investigated endoscopically. Certain biochemical parameters may aid in ruling out malignancy; however, endoscopy remains essential for definitive diagnosis.
