Search Results (653)

The health of crops is a major challenge for productivity growth in agriculture, with plant diseases playing a key role in limiting crop yield. Identifying and understanding these diseases is crucial to preventing their spread. In particular, greenhouse pepper leaves are susceptible to diseases such as mildew, mites, caterpillars, aphids, and blight, which leave distinctive marks that can be used for disease classification. The study proposes a seven-class classifier for the rapid and accurate diagnosis of pepper diseases, with a primary focus on pre-processing techniques to enhance colour differentiation between green and yellow shades, thereby facilitating easier classification among the classes. A novel algorithm is introduced to improve image vibrancy, contrast, and colour properties. The diagnosis is performed using a modified VGG16Net model, which includes three additional layers for fine-tuning. After initialising on the ImageNet dataset, some layers are frozen to prevent redundant learning. The classification is additionally accelerated by introducing flattened, dense, and dropout layers. The proposed model is tested on a private dataset collected specifically for this study. Notably, this work is the first to focus on diagnosing aphid and caterpillar diseases in peppers. The model achieves an average accuracy of 92.00%, showing promising potential for seven-class deep learning-based disease diagnostics. Misclassifications in the aphid class are primarily due to the limited number of samples available. Full article

Background: Despite the survival benefit of ICDs in patients with HFrEF, most recipients do not receive appropriate therapy during follow-up. Existing risk models based on echocardiographic and clinical parameters show limited predictive accuracy for arrhythmic events. This study aimed to assess whether ECG-derived markers outperform conventional measures in predicting appropriate ICD shocks. Methods: This retrospective observational study included 375 patients with HFrEF who underwent ICD implantation for primary prevention at least six months before study enrollment. Twelve-lead surface ECGs were analyzed for a QTc interval, Tp-e/QT ratio, frontal QRS-T angle, and maximum deflection index (MDI). Clinical, echocardiographic, and arrhythmic event data obtained from device interrogations were evaluated. Receiver operating characteristic (ROC) curve analysis and multivariate logistic regression were performed to identify independent predictors of appropriate ICD shocks. Results: Patients who experienced appropriate ICD shocks had significantly higher rates of a complete bundle branch block, digoxin use, QRS duration, QTc, Tp-e/QT ratio, frontal QRS-T angle, MDI, and right-ventricular pacing ratio. Conversely, beta-blocker use was significantly lower in this group. In multivariate analysis, independent predictors of appropriate shocks included the patient’s digoxin use (OR = 2.931, p = 0.003), beta-blocker use (OR = 0.275, p = 0.002), frontal QRS-T angle (OR = 1.009, p < 0.001), QTc interval (OR = 1.020, p < 0.001), and Tp-e/QT ratio (OR = 4.882, p = 0.050). The frontal QRS-T angle had a cutoff value of 105.5° for predicting appropriate ICD shocks (sensitivity: 73.6%, specificity: 85.2%, AUC = 0.758, p < 0.001). Conclusions: Electrocardiographic markers, particularly the frontal QRS-T angle, QTc interval, and Tp-e/QT ratio, demonstrated superior predictive power for appropriate ICD shocks compared to conventional echocardiographic and clinical measures. These easily obtainable, non-invasive ECG parameters may improve current risk stratification models and support more individualized ICD implantation strategies. Full article

The growing demand for sustainable plant-based dairy alternatives has spurred interest in valorizing agro-industrial byproducts like hazelnut cake, a protein-rich byproduct of oil extraction. This study developed formulations for vegan ice cream using unfermented (HIC) and Aspergillus oryzae-fermented hazelnut cake (FHIC), comparing their physicochemical, functional, and sensory properties to conventional dairy ice cream (DIC). Solid-state fermentation (72 h, 30 °C) enhanced the cake’s bioactive properties, and ice creams were characterized for composition, texture, rheology, melting behavior, antioxidant activity, and enzyme inhibition pre- and post-in vitro digestion. The results indicate that FHIC had higher protein content (64.64% vs. 58.02% in HIC) and unique volatiles (e.g., benzaldehyde and 3-methyl-1-butanol). While DIC exhibited superior overrun (15.39% vs. 4.01–7.00% in vegan samples) and slower melting, FHIC demonstrated significantly higher post-digestion antioxidant activity (4.73 μmol TE/g DPPH vs. 1.44 in DIC) and angiotensin-converting enzyme (ACE) inhibition (4.85–7.42%). Sensory evaluation ranked DIC highest for overall acceptability, with FHIC perceived as polarizing due to pronounced flavors. Despite textural challenges, HIC and FHIC offered nutritional advantages, including 18–30% lower calories and enhanced bioactive compounds. This study highlights fermentation as a viable strategy to upcycle hazelnut byproducts into functional vegan ice creams, although the optimization of texture and flavor is needed for broader consumer acceptance. Full article

Background: Charcot–Marie–Tooth disease (CMT) is a genetically and phenotypically heterogeneous hereditary neuropathy. Axonal CMT type 2 (CMT2) subtypes often exhibit overlapping clinical features, which makes molecular genetic analysis essential for accurate diagnosis and subtype differentiation. Methods: This retrospective study included five pediatric patients who presented with gait disturbance, muscle weakness, and foot deformities and were subsequently diagnosed with axonal forms of CMT. Clinical data, electrophysiological studies, neuroimaging, and genetic analyses were evaluated. Whole exome sequencing (WES) was performed in three sporadic cases, while targeted CMT gene panel testing was used for two siblings. Variants were interpreted using ACMG guidelines, supported by public databases (ClinVar, HGMD, and VarSome), and confirmed by Sanger sequencing when available. Results: All had absent deep tendon reflexes and distal muscle weakness; three had intellectual disability. One patient was found to carry a novel homozygous frameshift variant (c.2568_2569del) in the IGHMBP2 gene, consistent with CMT2S. Other variants were identified in the NEFH (CMT2CC), DYNC1H1 (CMT2O), and MPV17 (CMT2EE) genes. Notably, a previously unreported co-occurrence of MPV17 mutation and congenital heart disease was observed in one case. Conclusions: This study expands the clinical and genetic spectrum of pediatric axonal CMT and highlights the role of early physical examination and molecular diagnostics in detecting rare variants. Identification of a novel IGHMBP2 variant and unique phenotypic associations provides new insights for future genotype–phenotype correlation studies. Full article

Background and Objectives: Metabolic tumor volume (MTV) and inflammation-based indices have recently gained attention as potential prognostic markers of diffuse large B-cell lymphoma (DLBCL). We aimed to evaluate the prognostic significance of metabolic and systemic inflammatory parameters in predicting treatment response, relapse, and overall survival (OS) in patients with DLBCL. Materials and Methods: This retrospective cohort study included 70 patients with DLBCL. Clinical characteristics, laboratory values, and metabolic parameters, including maximum standardized uptake value (SUVmax^liver and SUVmax), heterogeneity indices HI1 and HI2, and MTV were analyzed. Survival outcomes were assessed using Kaplan–Meier and log-rank tests. Receiver operating characteristic analyses helped evaluate the diagnostic performance of the selected biomarkers in predicting relapse and mortality. Univariate and multivariate logistic regression analyses were conducted to identify the independent predictors. Results: The mean OS and mean relapse-free survival (RFS) were 71.6 ± 7.4 and 38.7 ± 2.9 months, respectively. SUVmax^liver ≤ 22 and HI2 > 62.3 were associated with a significantly shorter OS. High lactate dehydrogenase (LDH) levels and HI2 > 87.9 were significantly associated with a reduced RFS. LDH, SUVmax^liver, and HI2 had a significant predictive value for relapse. SUVmax^liver and HI2 levels were also predictive of mortality; SUVmax^liver ≤ 22 and HI2 > 62.3 independently predicted mortality, while HI2 > 87.9 independently predicted relapse. MTV was not significantly associated with survival. Conclusions: Metabolic tumor burden and inflammation-based markers, particularly SUVmax^liver and HI2, are significant prognostic indicators of DLBCL and may enhance risk stratification and aid in identifying patients with an increased risk of relapse or mortality, potentially guiding personalized therapy. Full article

Objective: The interactions between the central nervous system (CNS) and the immune system suggest that immune mechanisms may be effective in the pathogenesis of epilepsy and epileptic seizures. Although studies on the natural immune response and epilepsy are continuing, it is not yet clear whether the interaction of the current immune system is due to epilepsy itself or antiepileptic drugs (AEDs), since epileptic patients also use AEDs There are a limited number of studies that have reported an increased incidence of upper respiratory tract infections (URTIs) in patients during levetiracetam (LEV) treatment. Therefore, we aimed to report our experience regarding the effect of LEV monotherapy on the complete blood count (CBC), immunoglobulin (Ig) levels, and lymphocyte subgroups in the interictal period in children and adolescents with epilepsy. Methods: This study enrolled 31 children who presented with epilepsy and underwent LEV monotherapy for at least one year (patient group) and 43 healthy children (control group). The CBC parameters (hemoglobin (hb), lymphocytes, leukocytes, neutrophils, and platelets), Ig levels (IgA, IgM, IgG, and IgE), and lymphocyte subsets (CD3, CD4, CD8, CD4/CD8 ratio, CD19, CD56, NKT cells, and Treg cells) were measured and compared between the two groups. The patients were also investigated regarding the frequency and types of infections that they experienced in the first month and first year of the study, and these data were compared between the patient group and the control group. In addition, the same parameters and the frequency of infection were compared among the patient subgroups (focal and generalized seizures). Results: The results of the present study indicate that there were no significant differences in the CBC parameters, lymphocyte subsets, or Ig levels between the patient group and the control group. The comparison among the patient subgroups was similar; however, the CD4/CD8 ratio was lower in the patient subgroup with focal seizures. In addition, there were no significant differences in the frequency or type of infections experienced one month and one year of the study between the patient group and the control group, and likewise for the patient subgroups (focal and generalized seizures). Conclusions: The present study demonstrated that LEV monotherapy did not increase the incidence of infection, and there were no significant effects on the CBC or on the humoral or cellular immune system in epileptic children. These findings also suggest that the CD4/CD8 ratio among lymphocyte subgroups is lower in patients with focal seizures. However, the epilepsy subgroups had a relatively small sample size; therefore, further prospective studies involving a larger patient population are needed to establish the association between LEV monotherapy and lymphocyte subgroups in patients with epilepsy. Full article

Rheum cordatum Losinsk is a plant species distributed in Kazakhstan but remains relatively understudied despite its promising biological potential. The present study aimed to explore leaf extracts of R. cordatum by utilizing advanced green extraction technologies including supercritical CO₂ (ScCO₂), subcritical ethanol (Sc) and ultrasound-assisted extraction (UAE) to characterize their phytochemical composition and evaluate their antioxidant and antimicrobial activities. A total of 53 phytochemical compounds were identified, with gallic acid (30.71 µg/mg UAE-EtOH-4h), rutin (21.93 µg/mg ScCO₂-150) and hesperidin (14.98 µg/mg ScCO₂-150) being notably abundant. Among the tested extracts, ScCO₂ extraction at 150 bar (ScCO₂-150) demonstrated the highest antioxidant activity, exhibiting IC₅₀ values of 0.0132 mg/mL (DPPH) and 0.0462 mg/mL (ABTS), coupled with the highest total phenolic content (140 mg GAE/g). Moreover, the ScCO₂-150 extract showed pronounced antimicrobial efficacy, particularly against Bacillus subtilis Pseudomonas aeruginosa and Staphylococcus aureus, with minimum inhibitory concentrations (MIC) ranging from 125 to 250 µg/mL. These findings highlight the considerable potential of R. cordatum leaves as a valuable, abundant and sustainable source of natural antioxidants and antimicrobial agents, with supercritical CO₂ extraction presenting substantial advantages in selectively obtaining bioactive phytochemicals. Full article

In response to the global imperative of reducing greenhouse gas emissions, the optimisation of renewable energy systems under regionally favourable conditions has become increasingly essential. Solar irradiance forecasting plays a pivotal role in enhancing energy planning, grid reliability, and long-term sustainability. However, in the context of Turkey, existing studies on solar radiation forecasting often rely on traditional statistical approaches and are limited to single-site analyses, with insufficient attention to regional diversity and deep learning-based modelling. To address this gap, the present study focuses on Turkey’s Mediterranean region, characterised by high solar potential and diverse climatic conditions and strategically relevant to national clean energy targets. Historical data from 2020 to 2023 were used to forecast solar irradiance patterns up to 2026. Five representative locations—Adana, Isparta, Fethiye, Ulukışla, and Yüreğir—were selected to capture spatial and temporal variability across inland, coastal, and high-altitude zones. Advanced deep learning models, including artificial neural networks (ANN), long short-term memory (LSTM), and bidirectional LSTM (BiLSTM), were developed and evaluated using standard performance metrics. Among these, BiLSTM achieved the highest accuracy, with a correlation coefficient of R = 0.95, RMSE = 0.22, and MAPE = 5.4% in Fethiye, followed by strong performance in Yüreğir (R = 0.90, RMSE = 0.12, MAPE = 7.2%). These results demonstrate BiLSTM’s superior capacity to model temporal dependencies and regional variability in solar radiation. The findings contribute to the development of location-specific forecasting frameworks and offer valuable insights for renewable energy planning and grid integration in solar-rich environments. Full article

This study aimed to investigate the effect of gender on the pharmacokinetics of meloxicam in goats following intravenous (IV, 0.5 mg/kg) and oral (PO, 1.0 mg/kg) administration. A crossover design was used with 12 clinically healthy Saanen goats (six females and six males). Plasma samples were collected up to 96 h post-administration and analyzed with an HPLC for meloxicam concentrations. Pharmacokinetic parameters were calculated and statistically compared between genders and administration routes. The results show that male goats exhibited significantly longer terminal half-life (T_1/2λz), a greater mean residence time (MRT_0–∞), and higher systemic exposure (AUC_0–∞) than females, particularly after oral administration. Oral bioavailability was calculated as 77.43% in females and 104.73% in males. These differences may be linked to gender-based variations in hepatic metabolism, enterohepatic recirculation, and the hormone-mediated modulation of cytochrome P450 activity. The findings are consistent with previous research demonstrating that gender can influence drug disposition through hormonal and enzymatic mechanisms. This study underscores the importance of considering gender as a biological variable in pharmacokinetic assessments of veterinary drugs, especially those used in food-producing animals, to optimize dosing strategies and ensure both therapeutic efficacy and food safety. Full article

Tempol is a synthetic antioxidant that shows promise in preclinical cancer studies by inhibiting growth and inducing apoptosis. Given that the Mitogen-Activated Protein Kinase (MAPK) and Protein Kinase B/Mammalian Target of Rapamycin (Akt/mTOR) signaling pathways are frequently dysregulated in gastric and colon cancers and contribute to their progression, we investigated Tempol’s anti-cancer potential in HT29 (colon) and CRL-1739 (gastric) cancer cells. Cells were treated with 2 mM Tempol for 48 h, with untreated cells as controls. We evaluated apoptosis (Bax, cleaved caspase-3, and Bcl-2), key signaling pathway activity (p-ERK, p-JNK, p-AKT, and p-mTOR), and levels of stress- and apoptosis-related proteins (WEE1, GADD153, GRP78, and AIF). Tempol significantly increased pro-apoptotic Bax and cleaved caspase-3 (p < 0.0001) and decreased anti-apoptotic Bcl-2 (p < 0.0001) in both cell lines. Furthermore, Tempol markedly reduced the activity of p-ERK, p-JNK, p-AKT, and p-mTOR (p < 0.0001) and significantly increased the protein levels of WEE1, GADD153, GRP78, and AIF (p < 0.0001). Tempol treatment also led to a significant increase in total oxidant status and a decrease in total antioxidant status. In conclusion, our findings suggest that Tempol exhibits its anti-cancer activity through multiple interconnected mechanisms, primarily inducing apoptosis and oxidative stress, while concurrently suppressing pro-survival signaling pathways. These results highlight Tempol’s potential as a therapeutic agent for gastric and colon cancers. Full article

Naval ships are of paramount importance to national security, culture, and naval operations. A primary challenge for naval authorities is to balance the imperatives of maritime dominance with the operational demands of achieving sufficient, sustainable reliability. Shaft generators (SGs) are crucial to the energy conversion systems on naval ships, functioning as part of the main power systems on board and providing both propulsion and power for various operational loads. In this sense, the design of shaft generators is an engineering element that has a major impact on the overall ship performance. The design process will be conducted within the MATLAB/Simulink environment, a platform that facilitates the study of the dynamic behaviors of the system through simulation. The increasing demand for efficiency, reliability, and sustainability in the military, along with the impact of emerging technologies, will further underscore the significance of shaft generators. Analyses carried out in MATLAB/Simulink demonstrate that the selection of the most suitable power system for naval ships is dictated by the system requirements and operational demands. The main construction is such that this work is the first of its kind in the field of shaft generator research for naval ships. Full article

Alkalihalophilus marmarensis is an obligate alkaliphile with exceptional tolerance to high-pH environments, making it a promising candidate for industrial bioprocesses that require contamination-resistant and extremophilic production platforms. However, its practical deployment is hindered by limited biomass formation under extreme conditions, which constrains overall productivity. This study presents a model-driven investigation of how pH (8.8 and 10.5), culture duration (24 and 48 h), and nitrogen source composition (peptone and meat extract) affect cell dry mass, lactate, and protease synthesis. Using the response surface methodology and multi-objective optimization, we established predictive models (R² up to 0.92) and uncovered key trade-offs in biomass and metabolite yields. Our findings reveal that peptone concentration critically shapes the metabolic output, with low levels inhibiting growth and high levels suppressing protease activity. Maximum cell dry mass (4.5 g/L), lactate (19.3 g/L), and protease activity (43.5 U/mL) were achieved under distinct conditions, highlighting the potential for targeted process tuning. While the model validation confirmed predictions for lactate, deviations in cell dry mass and protease outputs underscore the complexity of growth–product interdependencies under nutrient-limited regimes. This work delivers a foundational framework for developing fermentations with A. marmarensis and advancing its application in sustainable, high-pH industrial bioprocesses. The insights gained here can be further leveraged through synthetic biology and bioprocess engineering to fully exploit the metabolic potential of obligate alkaliphiles like A. marmarensis. Full article

Recently, the concept of subprojectivity domains for modules has been introduced as a means of quantifying the level of projectivity exhibited by a module. In this research article, we focus on the subprojectivity domain of Goldie torsion modules. In particular, we establish that a ring denoted as R is classified as right nonsingular if and only if the subprojectivity domain of each Goldie torsion module is closed under submodules. In addition, we demonstrate that a right C-ring is a right nonsingular ring if and only if every module possesses an epic ecf-flat envelope, which is further equivalent to each Goldie torsion module having an epic projective envelope. Full article

Background and Objectives: Celiac disease (CD) is a common gluten-related disorder associated with significantly worsened quality of life. The aim of this pilot study was to evaluate the quality of life of adult celiac patients living in Lithuania and their compliance with a gluten-free diet. Materials and Methods: This cross-sectional study was conducted on individuals aged 18 to 75 years diagnosed with CD and residing within the borders of Lithuania. This pilot study involved 73 participants, comprising 68 females and 5 males. The CD Specific Quality of Life Scale (CD-QOL) consisted of 20 items across four sub-dimensions. Responses to scale items were graded with a score ranging from 1 (not at all) to 5 (very much). The total score obtained from the scale can range up to 100, with a score < 40 classified as poor, 40–50 as moderate, and > 50 as good quality of life. Additionally, ten questions related to gluten-free diet-related quality of life were used. Results: The mean age of diagnosis for females (32.6 ± 11.7) was higher than that for males (22.0 ± 12.1), p < 0.05. The mean self-reported BMI for males (25.8 ± 4.5) was higher than that for females (22.3 ± 5.2), p < 0.05. The mean quality-of-life score (66.4 ± 12.5) was significantly higher in the good quality-of-life group compared to the poor group (33.7 ± 3.9), p < 0.001. Half of the respondents (50.7%) reported that gluten-free products are expensive, and 45.2% confirmed difficulties in dining out on a gluten-free diet. Conclusions: The results of this pilot study indicate that CD is associated with a worsened quality of life and that compliance with a gluten-free diet is primarily influenced by economic factors, such as the high cost of the diet. Full article

In recent years, significant changes in food consumption habits have emerged due to various factors, including climate change, population growth, urbanization, and the depletion of natural resources. These changes pose a threat to the stability of global food systems and raise serious concerns about food security. Although this process encourages innovative and sustainable food consumption, it also makes individuals more skeptical and concerned about new foods. In this context, understanding consumer intentions regarding behaviors such as purchasing genetically modified (GM) foods is critical for predicting consumer responses and promoting responsible consumption patterns within the scope of sustainability. This study examined the effects of food technology neophobia and perceived information on attitudes and purchase intentions toward genetically modified (GM) foods. Survey data were collected from 324 participants across Turkey and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings revealed that food technology neophobia reduces perceived benefits and increases perceived risks, whereas perceived information enhances perceived benefits and lowers perceived risks. Additionally, attitudes were found to influence the intention to purchase GM foods significantly. Global issues, such as climate change and the depletion of natural resources, highlight the importance of innovations in food technology for sustainable food production. Understanding consumer concerns and perceived knowledge levels regarding genetically modified (GM) foods is critical to ensuring that these products are accepted at the societal level in an informed and conscious way. This study contributes to the promotion of sustainable food technologies and responsible consumer behavior, in line with the objectives of Sustainable Development Goal 12 (Responsible Consumption and Production). Full article