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
Formulating cultivation potential index under uncertainty for wheat and canola by incorporating remotely sensed and big data
(2026) Sadeghfam, Sina; Mousavi, Seyed Bahman; Moazamnia, Marjan; Daneshfaraz, Rasoul; Süme, Veli
Identifying suitable areas for crop cultivation is crucial for sustainable agriculture and the protection of soil and water resources. This study presents a framework under uncertainty to calculate the Cultivation Potential Index (CPI) for wheat and canola and decreases the inherent subjectivity in the utilized two sets of data layers. The first set includes climatic variables—precipitation and temperature during the growing, flowering, and ripening periods—sourced from CHIRPS and ERA5 satellites. The second set consists of non-climatic variables, such as slope, soil texture, pH, and organic carbon, derived from big data provided by Open Land Map. The framework employs fuzzy C-means (FCM) to calculate the CPI, which is also computed using the FAO standard framework. Results identify classes S1 and S2 representing high-potential areas for wheat and canola cultivation in the Araz basin, northwest Iran, where the accumulative areas swept by these classes occupy 29 and 27 percent of the study area for wheat and canola, respectively. While the CPI based on FCM does not replace the FAO framework, it offers valuable insights by reducing subjectivity and capturing spatial uncertainty. The findings are essential for policymakers and farmers, highlighting areas where crops currently thrive and where changes in cultivation practices could lead to significant improvements.
Turkish cross-sectional survEy of glycemic and other Metabolic parameters in patients with type 2 Diabetes in 2023: Comparison with 2018 nationwide data (TEMD-2 study)
(Elsevier, 2026) Sonmez, Alper; Haymana, Cem; Demirci, Ibrahim; Cetinarslan, Berrin; Gonen, Mustafa Sait; Tüfekçi, Damla; Cantürk, Zeynep
im Five years after the first “Turkish nationwide survEy of glycemic and other Metabolic parameters of patients with type 2 Diabetes” (TEMD-1), attainment of glycemic, arterial blood pressure (ABP), and LDL-cholesterol (LDL-C) goals was re-investigated in patients with type 2 diabetes mellitus (T2DM), with an additional focus on therapeutic inertia. Methods This cross-sectional study consecutively enrolled patients from 70 tertiary endocrine centers across Türkiye (November 2022–January 2023). Metabolic targets were HbA1c <7% (<53 mmol/mol), home ABP <135/85 mmHg, and risk-stratified LDL-C <55, <70, or <100 mg/dL (<1.4, <1.8, or <2.6 mmol/L). Therapeutic inertia was defined as failure to intensify treatment at enrollment. Results Among the 4956 participants (mean age: 58.9 ± 10.0 years, women: 59.8%), HbA1c, ABP, LDL-C and triple metabolic control target attainment rates were 36.7%, 71.1%, 8.7%, and 2.8%, respectively. Glycemic control rate was found lower than the previous survey (40.0% vs. 36.7%, p < 0.001), while LDL-C control rate improved (7.0% vs. 8.7%, p = 0.002). Patients with established cardiovascular disease (CVD) showed worse outcomes, with triple metabolic control rate of 1.6%. The rate of severely uncontrolled diabetes (HbA1c >9%/75 mmol/mol) was 23.6%. Therapeutic inertia was observed by 33.5%, persisting uniformly across subgroups. Younger age, male sex, longer diabetes duration, lower socioeconomic status, and microvascular complications were independently associated with poor glycemic control. Conclusions Metabolic control remains suboptimal in Turkish T2DM patients, and one-third of patients with severe hyperglycemia showed therapeutic inertia. Systematic interventions and intensified strategies are urgently needed to improve diabetes outcomes and treatment inertia ( ClinicalTrials.gov number NCT06347445 ).
Non-pharmacological interventions modulating immune response in Parkinson's disease: where do we stand for future preventive approaches
(Elsevier, 2026) Pirovano, Elenamaria; Silva, Inês P.; Camacho, Marta; Çanak, Asuman; Aktas, Busra; Crompton, David; Figueira, Inês
Parkinson's disease (PD) imposes a growing socioeconomic burden due to its increasing prevalence and lack of a cure. Existing treatment options primarily manage motor and nonmotor symptoms but do not halt or slow disease progression, underscoring the urgent need for more effective and preventative strategies. Growing evidence suggests a strong link between immune system dysfunction, chronic inflammation, and the early pathogenesis of Parkinson's disease, often occurring years before the onset of motor symptoms, thereby indicating a critical window for early intervention. In this review, we examine current evidence on non-pharmacological approaches such as dietary changes, physical activity, and gut microbiome regulation, focusing on their potential to modulate both peripheral and central immune responses, thereby influencing the progression of PD. Besides being complementary to standard pharmacological treatments, these approaches not only reduce systemic inflammation but may also help delay, prevent, or improve clinical management of PD by targeting and modulating its immunological foundations.
Explainable AI-based prediction of lithium-ion battery aging: A comparative study at low and moderate temperatures
(Elsevier, 2026) Hadji, Fatah; Hadji, Atmane; Belfennache D.; Yekhlef R.; Fatmi M.; Yaylacı, Murat; Abualreish, Mustafa Jaipallah Abdelmageed
This study investigates temperature-driven degradation mechanisms in lithium-ion batteries using machine learning and explainable artificial intelligence, comparing performance at 4 °C and 24 °C. A dataset of 7000 electrochemical impedance spectroscopy measurements demonstrates pronounced thermal effects on aging behavior. At 24 °C, capacity retention remains above 0.90 over extended cycling, gradually declining to 0.80–0.85, whereas operation at 4 °C shows accelerated degradation, with capacity dropping below 0.85 during early cycles and reaching 0.70–0.75 prematurely. Charge transfer resistance (Rct) below 50 mΩ corresponds to more than 80% remaining useful life (RUL), while Rct values exceeding 100 mΩ indicate critical degradation. SHapley Additive exPlanations (SHAP) analysis identifies capacity (±0.35), Rct (−0.40 to −0.05), and temperature (±0.20) as dominant predictive features. Among eight regression models evaluated, Random Forest achieves the best performance with R2 = 0.933, MAE = 13.36 cycles, and RMSE = 36.62 cycles, followed by Light GBM and XG Boost, which significantly outperform linear models. Temperature–capacity interactions reveal non-monotonic effects: moderate temperatures of 20–25 °C enhance RUL, whereas extreme conditions of 0–5 °C and 30–40 °C accelerate degradation. This framework integrates electrochemical insights with data-driven modeling, supporting advanced battery management and thermal optimization strategies. These findings improve predictive reliability, enable early fault detection, and guide robust lifetime-aware control policies for practical deployment
Evaluating the Roth and Dyspnea severity score for emergency department discharge in exacerbations of chronic obstructive pulmonary disease
(W.B. Saunders, 2026) Yazıcı, Mümin Murat; Ataş, İsmail; Yılmaz, Gülcan Nur; Tatar, Senem Derya; Topaloğlu, Ensar; Cerit, Utku Sarp; Kaçan, Meryem; Harmancı, Bünyamin Onur; Çelik, Ali; Bilir, Özlem
Background: Exacerbations of chronic obstructive pulmonary disease (ECOPD) are a common reason for emergency department (ED) visits. It is of the utmost importance to make the right decisions regarding hospital admission or discharge for patients with ECOPD who present to the ED. This can sometimes be a complex matter. This study aimed to evaluate the diagnostic accuracy of the Roth score and Dyspnea Severity Score (DSS) in the decision-making process for discharging ECOPD patients from the ED. Methods: This prospective, multicenter diagnostic accuracy study was conducted in the EDs of three secondary-level state hospitals and one tertiary-level teaching and research hospital in Turkey. All patients who presented to the ED with ECOPD and did not meet the exclusion criteria were included in the study. A receiver operating characteristic (ROC) curve was created to determine the cutoff values for the Roth score and DSS in the discharge decision, and sensitivity and specificity were calculated. Results: A total of 352 patients were enrolled, comprising 286 males (81.3%) and 66 females (18.7%), with a median age of 69 years (IQR: 61–76). The area under the curve (AUC) for the discharge decision was 0.894 for the Roth Score (seconds), corresponding to a sensitivity of 87.4% and a specificity of 86.8% at a cutoff value of 9.95 (>). AUC for the discharge decision was 0.917 for the DSS, corresponding to a sensitivity of 88.9% and a specificity of 79.5% at a cutoff value of 5 (<). Conclusion: The Roth score and the DSS show high sensitivity in determining discharge decisions for patients with ECOPD presenting at the ED, thus offering a swift and pragmatic solution for discharge decisions. In daily practice, these tools provide reliable, non-invasive, and objective bedside cut-offs that can safely streamline patient disposition and reduce unnecessary resource utilization. Although the results are promising in terms of standardizing the use of the Roth score and the DSS in ECOPD, further research is required.
