Recep Tayyip Erdoğan Üniversitesi Kurumsal Akademik Arşivi
DSpace@RTEÜ, Recep Tayyip Erdoğan 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 yayınların etkisini artırmak için telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
Beyond the skin: immunological profiles and infectious complications in ALOX12B-associated autosomal recessive congenital ichthyosis
(Frontiers Media SA, 2025) Sefer, Asena Pınar; Catak, Mehmet Cihangir; An, İsa; Keser Öztürk, Necmiye; Baykal Selçuk, Leyla; Dinçer, Oğuz Salih; Agrawal, Pankaj B.
Background: Pathogenic variants in ALOX12B, a crucial enzyme involved in epidermal lipid processing, are among the most common causes of autosomal recessive congenital ichthyosis (ARCI). Although traditionally considered a cutaneous disorder, the systemic immunological implications of ALOX12B deficiency remain poorly understood. Objectives: We aimed to broaden the dermatologic and immunologic spectrum of ALOX12B-associated ARCI by characterizing the clinical, immunologic, and genetic features of six patients from three consanguineous families. Methods: This prospective study included six patients with ALOX12B-associated ARCI identified through whole-exome sequencing. Detailed dermatological evaluations, infection histories, immunoglobulin profiles, lymphocyte subset analyses, and vaccine response assessments were performed. Results: All patients exhibited early-onset generalized ichthyosis, ranging from delayed-onset lamellar ichthyosis to collodion membrane presentations accompanied by nonbullous erythroderma. Two distinct biallelic ALOX12B variants were identified: a novel p.Thr383Lys and the known p.Cys544Arg. Several patients demonstrated recurrent bacterial or fungal infections (n = 5), markedly elevated serum IgE levels (n = 4), and isolated abnormalities in vaccine responsiveness (n = 2). Lymphocyte counts and other immunoglobulin classes were generally preserved; however, decreased IgG levels were observed in one patient (P3.1). Intravenous immunoglobulin replacement therapy reduced the frequency of infections in patients (P1.1 and P1.2). Conclusions: Our findings suggest that ALOX12B-related ARCI may involve secondary immune dysregulation, driven by chronic compromise of the epidermal barrier. An immunologic evaluation is warranted in selected cases, particularly those with a history of susceptibility to infections. Multidisciplinary care, encompassing dermatology, immunology, and genetics, is crucial for achieving optimal outcomes in ARCI.
From sentinel to saboteur: asymmetric impact of artificial intelligence on digital financial crimes
(SAGE Publications Inc., 2025) Dang, Xue; Cao, Xinghua; Ali, Sajid; Nazar, Raima; Anser, Muhammad Khalid
This study explores the asymmetric impact of artificial intelligence on digital financial crimes across 10 selected economies (the USA, Germany, Japan, India, Brazil, South Korea, the UK, South Africa, Mexico, and Australia). The Quantile-on-Quantile method is applied to reveal nation-specific dynamics and characteristics of each country. The results demonstrate that artificial intelligence significantly amplifies digital financial crimes in the USA, India, Brazil, South Africa, and Mexico. In contrast, Germany, South Korea, and the UK exhibit a decrease in such crimes. However, Japan and Australia exhibit mixed findings, where artificial intelligence both mitigates and facilitates these crimes. The findings call for data-driven policies and aligning artificial intelligence with national goals through refined regulations to maximize benefits and minimize misuse.
Intuitive approximations for a residual waiting time process
(American Institute of Mathematical Sciences, 2025) Yazır, Tülay; Kamışlık, Aslı Bektaş; Khaniyev, Tahir
The residual waiting time process, also known as the residual life process, represents the remaining time until the next renewal event, observed at an arbitrary moment. This process arises naturally in diverse areas such as queueing systems, reliability analysis, and inventory modeling. However, obtaining exact expressions for the expected residual waiting time is often analytically challenging, especially when the interarrival time distribution deviates from the Erlang distribution case. In this study, we propose intuitive approximations for the expected value of residual waiting time process, based on intuitive approximation of the renewal function. Two classes of interarrival distributions are examined: heavy-tailed distributions with regularly varying tails, and light-tailed distributions belonging to the special class of distributions denoted by Γ(g), which naturally arises in extreme value theory. Using theoretical results from renewal theory and equilibrium distributions, intuitive approximation formulas are derived for both distributional settings. In particular, we investigate the Erlang distribution as a case study, comparing expected value of the residual waiting time computed via the exact renewal function with that obtained from the intuitive approximation. Moreover, for the Pareto and Burr XII distributions, we conduct case studies demonstrating how intuitive approximation closely matches asymptotic results for the expected value of the residual waiting time in the absence of exact formulas. This work provides a practical and mathematically grounded framework for analyzing systems involving stochastic arrivals, with potential extensions to higher-order moments.
Agricultural pollution and its relation to climate change
(Springer, 2025) Shaheryar, Muhammad; Hayat, Hafiz Saqib; Rehman, Haseeb Ur; Hayat, Momna; Shah, Muhammad Nadeem; Sheryar, Ali; Kashif, Muhammad Saleem; Altaf, Muhammad Tanveer
Agriculture contributes to climate change through greenhouse gas emissions, deforestation, soil deterioration, and water pollution. These factors threaten global food security and environmental sustainability. Sustainable agriculture techniques must be implemented immediately to reduce these effects. This mitigation technique relies on emission reduction, agricultural waste management, and pest management. Sustainable agriculture and ecosystems require soil and water quality preservation. Environmental issues must be addressed through eco-friendly agriculture. International cooperation is needed to address the complex relationship between agriculture and climate change. Inaction may worsen environmental issues, making activity urgent. Sustainable agriculture reduces greenhouse gas emissions and ensures food security. Maintaining agricultural output and environmental resilience requires promoting soil and water conservation. Policy interventions and incentives are needed to promote sustainable agriculture worldwide. Education and awareness efforts can assist farmers and consumers practice environmental stewardship. Developing sustainable agricultural technologies and practices requires research and innovation. Effective mitigation initiatives require collaboration between government, Non-governmental organizations (NGOs), and business sectors. Agriculture’s environmental impact must be addressed holistically, considering social, economic, and environmental concerns. Sustainable land management can reduce agricultural biodiversity and ecosystem services in loss. Reforestation and agroforestry can sequester carbon and conserve biodiversity. Sustainable water management is vital for saving freshwater and reducing agricultural runoff pollution. Integrating pest management can reduce chemical pesticide use and increase natural pest control. Organic farming boosts nutrient cycling and reduces erosion. Promote agro-ecological concepts to improve climate change resistance and biodiversity and ecosystem services. Finally, agriculture’s environmental impact must be addressed collaboratively and creatively to achieve long-term sustainability and resilience.
Magnesium level and related factors in type 2 diabetes mellitus: a cross-sectional study
(Bentham Science Publishers, 2025) Konur, Kamil; Polat, Hatice Beyazal; Karavar, Erol; Ayaz, Teslim
Introduction: Type 2 diabetes mellitus is a chronic metabolic disorder often accompanied by alterations in serum magnesium levels. This study aimed to investigate the relationship between serum magnesium concentration and glycemic control, comorbidities, and medication use in patients with type 2 diabetes mellitus. Methods: A retrospective cross-sectional analysis was conducted using data from 502 patients. Glycemic control was assessed based on HbA1c levels, and serum magnesium concentrations were evaluated concerning clinical and demographic variables. Statistical analyses included t-tests, Mann-Whitney U tests, logistic regression, and ROC curve analysis. Results: Patients with poor glycemic control had significantly lower serum magnesium levels. Magnesium levels were lower in females, particularly postmenopausal women. Magnesium levels were significantly associated with hypertension, gender, and the use of specific medications such as metformin and indapamide. Logistic regression revealed a significant inverse association between serum Magnesium levels and congestive heart failure (OR = 0.055), but not with other comorbidities. ROC analysis revealed limited predictive value of magnesium for glycemic control (AUC = 0.41). Discussion: Although group-level differences in magnesium were evident, magnesium levels alone were not reliable predictors of glycemic control. However, the associations with CHF, HT, gender, and specific medications suggest that magnesium plays a multifaceted role in type 2 diabetes mellitus management. Conclusion: Regular monitoring of serum magnesium may aid in identifying at-risk patients, especially those with hypertension, CHF, or on magnesium-depleting medications. Further prospective studies are needed to clarify the clinical utility of magnesium in diabetes care. 2026,
