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
Predictors of Peer Bullying and Peer Victimization Among High School Students in Türkiye
(John Wiley and Sons Inc, 2025) Yüksel, Arzu; Bahadır Yılmaz, Emel
Aim: The present study aimed to evaluate the predictors of peer bullying and peer victimization among high school students. Method: The cross-sectional study sample comprised 601 students attending an Anatolian High School in the Central Anatolia Region of Türkiye. Data collection involved a student information form and Peer Bullying Scale Adolescent Form. Data analysis was conducted using Pearson correlation test and Multiple Linear Regression analysis. Results: The predictors of peer victimization were found to be believing that the school administration has an appropriate attitude to peer bullying at school, age, father's education level and family economic status, respectively. The predictors of peer bullying were, respectively, the status of receiving disciplinary punishment, father's education level, mother's employment status, believing that the school administration has an appropriate attitude to peer bullying at school, and the school administration's attitude towards peer bullying at school. Conclusion: High school students should be trained on how to recognize peer bullying and how to protect themselves from bullying behavior and that the school environment should be structured accordingly. Clinical trial registration: None.
Nephroprotective effects of hesperidin on ifosfamide-induced acute nephrotoxicity in rats: Role of NF-κB/TNF-α/ IL-1β, p53/caspase-3/Bax/Bcl-2, and ATF6/IRE1/PERK/GRP78 signaling pathways
(Academic Press Inc., 2025) Kandemir, Özge; Akaras, Nurhan; Şimşek, Hasan; Gür, Cihan; İleritürk, Mustafa; Küçükler, Sefa; Çağlayan, Cüneyt; Kandemir, Fatih Mehmet
This study explored the protective effects of hesperidin (HES) against ifosfamide (IFA)-induced nephrotoxicity in rats using biochemical, histopathological, and immunohistochemical techniques. The rats were administered IFA at a dose of 500 mg/kg body weight, followed by oral HES treatment at doses of 200 and 300 mg/kg body weight. The results demonstrated that HES significantly reduced IFA-induced increases in urea and creatinine levels, indicating improved kidney function. HES was shown to mitigate IFA-induced lipid peroxidation, likely due to its antioxidant properties, and to enhance the activities of key antioxidant enzymes, including catalase (CAT), superoxide dismutase (SOD), and glutathione peroxidase (GPx), as well as elevate glutathione (GSH) levels. Biochemical and immunohistochemical analyses further revealed that HES exhibited anti-inflammatory, antiapoptotic and anti-endoplasmic reticulum stress effects, suppressing the elevated levels of nuclear factor kappa-B (NF-κB), interleukin-1β (IL-1β), tumor necrosis factor-α (TNF-α), Caspase-3, 6, 9, Bax, Apaf1, p53, serine/threonine-protein kinase/endoribonuclease inositol-requiring enzyme 1α (IRE1α), glucose-regulated protein 78 (GRP78), activating transcription factor 6 (ATF-6), and protein kinase R-like ER kinase (PERK), CHOP and alleviating level of Bcl-2 in IFA-exposed kidney tissue. Additionally, the immunohistochemical staining results for TIM-1 in rat kidney tissues showed minimal expression in the control and HES groups. However, the IFA-treated group exhibited a significant increase in TIM-1 expression. Co-administration of IFA with HES at 200 or 300 mg/kg resulted in a significant reduction in TIM-1 expression. In conclusion, these results demonstrate that HES efficiently alleviated kidney toxicity induced by IFA.
Fabrication of smart chitosan composite beads for alleviate boron toxicity in a model plant (Lemna gibba): Characterization, toxicity assessment, and boron removal
(Elsevier Ltd, 2025) Yakar, Anıl; Türker, Onur Can; Çakmak, Emel; Yılmaz Baran, Nuray; Baran, Talat
Excessive boron (B) in aquatic ecosystems poses a significant threat to environmental health and biodiversity. In this respect, an attractive strategy should be evaluated to reduce B toxicity in the water environment and protect aquatic organisms. The study aims to reduce B-induced toxicity in a model plant, Lemna gibba, using smart chitosan-magnetic composite beads enriched with keratin, and further enhanced with boron-tolerant bacteria (Acinetobacter sp.). We tested different chitosan-magnetic composite beads for their B adsorption capacity, focusing on a specific type enriched with keratin for the first time in the literature. The effects of adding chitosan-magnetic composite beads in a test solution containing B mine effluent to alleviate B toxicity on L. gibba's growth parameters (frond number, biomass production, and EC50 value) were detailly evaluated in the experiment period. Accordingly, the chitosan-magnetic composite beads with keratin (Mag-Ch-K) demonstrated high B adsorption, with a maximum loading capacity of 2.875 mg/g at pH 7. The relative growth rate of L. gibba in a reactor containing Mag-Ch-K beads was measured to be approximately 2-fold (0.2065) higher than that of the control reactor (0.1212) without composite beads at 64 mg L−1 B concentration. More importantly, Mag-Ch-K bead significantly increased the plant's tolerance against B in the reactor matrix, as indicated by an EC50 value of 44.18 mg L−1 compared to 17.17 mg L−1 in the control. This study provides a promising approach to mitigate B toxicity in water bodies, offering a practical operation, high growth production, and preventing B pollution shock via modified bead with Acinetobacter sp. High B removal (76 %) was also achieved from reactors containing Mag-Ch-K-D through the high B-loading capacities and plant uptake. These dual benefits encourage designers to design chitosan and duckweed-based treatment systems for ecological conservation and pollution management in B-rich waters, such as B mine effluent pollution.
Comprehensive evaluation of machine learning models for real-world air quality prediction and health risk assessment by AirQ+
(Springer Science and Business Media Deutschland GmbH, 2025) Koçak, Ebru
This study extensively examines five distinct machine learning models used to predict hourly air particulate matter concentrations. The study used real-world data, including pollutant levels and various meteorological parameters, for model training and evaluation, making the study more reliable and effective. The study focused on capturing short-term trends in pollutant concentrations and meteorological conditions. Results showed varied model performances. The Ridge Regression model exhibited a moderate R2 value of 0.44 for PM2.5 prediction and an impressive R2 of 0.91 for PM10 prediction. Support Vector Regression showed strength in PM2.5 prediction (R2 = 0.83) but faced challenges in forecasting PM10. Random Forest and Extra Trees Regression demonstrated robust overall performance, particularly in PM10 forecasting (R2 = 0.75). Extreme Gradient Boosting displayed competitive results for both PM2.5 and PM10 (R2 = 0.80 and 0.81). Each model's identified strengths and limitations provide valuable insights for air quality management, offering a foundation for future research and the development of machine learning models in the continuous pursuit of accurate and timely air quality predictions. The AirQ+ model was used to estimate the health effects of PM2.5 exposure and predict the long-term mortality rates associated with PM2.5. The average estimated attributable proportion for all years is 10.2% (with a range of 6.5% to 13.2%). The results show differing trends in estimated mortality rates, underscoring the need for targeted interventions to reduce the public health risks associated with exposure to polluted air.
Microplastics in Soil Increase Cadmium Toxicity: Implications for Plant Growth and Nutrient Imbalance
(2025) Erdem, Halil; Gence, Cabir Çağrı; Öztürk, Mehmet; Buhan, Ekrem; Kholikulov, Shodi Turdukulovich; Kaya, Yağmur
The increasing presence of microplastics (MPs) and cadmium (Cd) in agricultural soils represents an emerging environmental challenge, necessitating urgent investigation due to their potential synergistic effects on soil and plant health. This study investigated how polyethylene microplastics (PE-MPs) affect Cd behavior in soil, focusing on both their individual and combined impacts on soil pH, Cd bioavailability, plant growth, and nutrient dynamics. MPs can act as carriers of Cd, enhancing its mobility within the soil–plant system. To achieve this, a pot experiment was conducted using soils treated with different doses of PE MPs (0%, 1%, and 2%, w/w) and Cd (20 mg Cd kg−1). Soil pH, DTPA-extractable Cd, plant growth parameters, Cd accumulation in roots and shoots, and mineral nutrient concentrations were measured. The results indicated that while Cd alone did not significantly alter soil pH, increasing MP doses statistically reduced soil pH and enhanced Cd bioavailability, with DTPA-extractable Cd rising by 14.4% to 25.4%. The combined application of MPs and Cd resulted in a 38% reduction in root yield and a 32% decrease in above-ground biomass. The presence of MPs exacerbated Cd uptake, leading to significantly higher Cd accumulation in both roots and shoots compared to Cd application alone. Moreover, the combined presence of MPs and Cd disrupted the nutrient uptake mechanisms, as evidenced by significant reductions in nitrogen (N) and phosphorus (P) concentrations in root and shoot tissues. These results indicate that MPs and Cd together disrupt soil chemical stability and compromise plant nutritional status. Thus, our findings emphasize that MPs not only serve as physical pollutants but also as vectors that intensify heavy metal contamination risks in agricultural ecosystems.
