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Background and Objectives: Percutaneous procedures using contrast agents are modern diagnosis and treatment methods for cardiovascular diseases. Contrast use may cause nephropathy, especially in diabetic patients. SGLT2 inhibitors have strong cardioprotective and renal protective effects. In our study, we investigated the effectiveness of this drug group in preventing the development of Contrast-Induced Nephropathy (CIN). Materials and Methods: The results of 312 diabetic patients who underwent CAG were analyzed. The study group included 104 DM patients using SGLT2 and the control group did not use SGLT2. These groups were compared with each other in terms of clinical, demographic, and laboratory parameters. Results: The groups were similar characteristics. However, post-CAG creatinine values compared with before the procedure, the development of CIN was observed to be significantly less in the group using SGLT2 inhibitor (p = 0.03). When the results of the multivariate analysis were examined, it was seen that the use of SGLT2 inhibitors significantly reduced the risk of CIN (odds ratio (OR): 0.41, 95% confidence interval (CI): 0,142–0.966, p = 0.004). Conclusions: Our study showed that SGLT2 inhibitors may be protective against the development of CIN, especially in patients with comorbid conditions such as diabetes.

Background and Objectives: Obstructive sleep apnea syndrome (OSAS) and heart failure (HF) frequently coexist, amplifying cardiovascular risk through mechanisms involving chronic inflammation and autonomic dysfunction. This study investigates the impact of systemic inflammation, measured by the systemic immune-inflammation index (SII), and OSAS severity, assessed by the apnea–hypopnea index (AHI), on myocardial repolarization heterogeneity in patients with both conditions. Materials and Methods: In this retrospective study, 160 patients with HF and polysomnography-confirmed OSAS (AHI ≥ 5 events/h) were evaluated between January 2018 and November 2024. Patients were stratified by QT dispersion (QTd < 40 ms vs. ≥40 ms) to assess electrical heterogeneity. SII was calculated from neutrophil, platelet, and lymphocyte counts, and electrocardiographic markers (QTd, frontal QRS-T angle, T wave peak-to-end interval [TPEI]) were measured. Logistic regression and receiver operating characteristic (ROC) analyses were used to identify predictors of repolarization heterogeneity and ventricular arrhythmias. Results: Patients with QTd ≥ 40 ms (n = 78) exhibited higher SII (p < 0.001) and AHI (p < 0.001) compared to those with QTd < 40 ms (n = 82). SII and AHI independently predicted increased QTd in multivariate analysis (p = 0.01 and p < 0.001, respectively). ROC analysis identified SII ≥ 625.4 (sensitivity 73.1%, specificity 72%) and AHI ≥ 22.4 (sensitivity 79.5%, specificity 79.3%) as optimal cut-offs for predicting repolarization heterogeneity. SII, QTd, and TPEI were significantly associated with ventricular arrhythmias (p < 0.05). Patients with moderate-to-severe OSAS (AHI ≥ 15) had higher rates of ventricular tachyarrhythmias (17.8% vs. 5.7%, p = 0.03) and sudden cardiac death (9.3% vs. 1.9%, p = 0.05). Conclusions: Elevated SII and AHI are independent predictors of myocardial repolarization heterogeneity in patients with HF and OSAS, contributing to increased arrhythmic risk. These findings highlight the potential use of SII and AHI as accessible biomarkers for risk stratification, particularly in patients with a preserved ejection fraction, and underscore the need for targeted interventions to mitigate inflammation and OSAS severity.

Fuel characteristics were evaluated for bark from four coniferous tree species native to Türkiye (Calabrian pine, Black pine, Scotch pine, and Taurus cedar). Bark samples from varying elevations and age groups were analyzed through calorific value (kcal/kg), ash content (%), volatile organic compounds (VOC, %), sulfur emissions (SO2, %), elemental ash composition, Fourier transform infrared (FT-IR) spectroscopy, and principal component analysis (PCA). All calorific values were determined on oven-dried samples. Calabrian pine had the highest higher heating value on a dry basis at 5044 kcal/kg, along with the lowest value for ash (1.55%), while Scotch pine exhibited the lowest energy value (4518 kcal/kg). Black pine, which had the highest ash content (3.84%), appeared less suitable as a fuel source. Sulphur emissions across all species were marginal (0.005% to 0.04%). Ash content increased with altitude in Calabrian pine, while the opposite trend was observed in larch. PCA results showed interspecific variations in mineral composition and combustion traits. In conclusion, Calabrian pine and Taurus cedar bark show strong potential as renewable and cost-effective biomass energy sources due to their favorable calorific and ash properties. However, environmental factors such as altitude remain determining factors in biomass fuel performance.

Due to the scarcity of wood in some countries, it is necessary to replace it with other raw materials and at the same time use the waste material. The aim of this research is to use poppy waste straw for the efficient conversion of possible lignocellulosic materials – pulps and particleboards. Their suitability for the production of composites is assessed on the basis of selected physical or mechanical properties. Tensile strength index, burst strength index and air permeability by Gurley have been identified as critical properties of pulp made from poppy straw through two delignification methods. The better mechanical properties, i.e., tensile strength index, were achieved at 52.7 N·m/g for the sodium pulp, but the nitrate-alkali method also showed corresponding values at 45.9 N·m/g. Similar parameters to those of bagasse or similar fast-growing plants were achieved in particleboard production. The results of this research are used to evaluate poppy straw as an alternative raw material to produce biocomposites.

A pre-treatment process was evaluated in this work for wastewater from paper recycling using microwave technology followed by rapid precipitation of contaminants through centrifugation. Artificial neural networks (ANNs) were used to analyze and optimize the turbidity values. Thirty experimental runs were utilized including microwave (MW) power, duration, centrifuge time, and centrifuge speed as input variables, generated by the Central Composite Full Design (CCFD) approach. The experimental turbidity ranged from 8.1 to 19.7 NTU, while predicted values ranged from 8.4 to 19.7 NTU by ANN. The ANN model showed a robust prediction performance with low mean squared error values during training and testing. Moreover, high R2 values showed a remarkable agreement between the experimental observations and ANN predictions. The results obtained from the input values (A:150.00, B:60.00, C:15.00, D:30.00) of sample 2, which gave the lowest turbidity value, showed the most removal of pollution. The results obtained from the input values (A:250.00, B:60.00, C:7.00, D:20.00) of sample 30, which gave the highest turbidity value, showed the least removal of pollution. The results showed that increasing RPM and time of the centrifugation process significantly affected the removal of pollution in wastewater.

Non-obstructive myocardial stunning is characterized by transient myocardial contractile dysfunction despite preserved coronary perfusion. Although increasingly recognized, it remains a diagnostic and therapeutic challenge in cardiology. This review synthesizes current insights into reversible cardiomyopathies, explores the potential of antimetabolic and anti-ischemic agents in their management, and highlights emerging therapeutic avenues. Greater understanding of these mechanisms may improve patient outcomes in this underexplored area.

Wood color is an important factor influencing the aesthetic and commercial value of timber products. This study aimed to clarify the natural color variation in Lebanon cedar (Cedrus libani A. Rich.) wood and its relation to anatomical structure and environmental conditions. Samples were collected from two regions in Türkiye (Kaş and Senirkent), differing in elevation and climate. Stem sections from four trees per region were analyzed by separating the pith, heartwood, and sapwood. Color properties were measured using a spectrophotometer in the CIE L*a*b* color space, resulting in 2670 data points. The results showed that sapwood exhibited the highest lightness values (L*), with averages of 65.3 in Kaş and 65.8 in Senirkent, while pith displayed the lowest lightness (59.4 in Kaş, 61.6 in Senirkent). Total color differences (ΔE) between anatomical parts frequently exceeded the perceptible threshold (ΔE > 3), reaching up to 16.7 in the pith and 14.9 in the heartwood of some samples. Moreover, Kaş samples generally exhibited greater color variability than Senirkent, with average ΔE values of 13.4 (pith), 12.6 (heartwood), and 7.0 (sapwood), compared to 9.43, 10.57, and 6.14 in Senirkent, respectively. These findings highlight the combined influence of anatomical and environmental factors on wood color and provide insights for selecting timber for aesthetic purposes and enhancing visual quality in forest management.

OBJECTIVEEarly diagnosis of septic emboli is crucial to prevent the associated morbidity and mortality. This study aimed to examine the relationship between the systemic coagulation ınflammation ındex (SCII) and septic embolism in patients with infective endocarditis (IE).METHODSWe retrospectively analyzed the data of 167 IE patients treated at our tertiary care hospital between January 2007 and January 2023. We collected information on symptoms, comorbidities, predisposing valve diseases, prosthetic valves, devices, history of injectable drug use, blood culture results, echocardiographic findings, and complications. The SCII index was calculated using the formula: [platelet count (PLT) × fibrinogen level (g/L) / white blood cell count (WBC)].RESULTSThe mean age of the patients was 61 years, with rheumatic valve disease being the most common predisposing factor. The most common etiologic microorganism was Staphylococcus species. Septic embolism developed in 25.7% of the patients, with the cerebral system being the most commonly affected (46.5%). The SCII was identified as an independent marker for the development of septic embolism. Receiver operating characteristic (ROC) curve analysis confirmed that an optimal SCII value of 59.8 predicted septic emboli with a sensitivity of 65.1% and a specificity of 59.6% (area under the ROC curve: 0.649 [95% confidence interval (CI): 0.556 - 0.743], P = 0.004).CONCLUSIONThis study demonstrates that high SCII levels are an independent predictor for the development of septic embolism in patients with IE.