Search Results (454)

Hyperspectral remote sensing plays a crucial role in guiding and supporting various mineral prospecting activities. Combined with artificial intelligence, hyperspectral remote sensing technology becomes a powerful and versatile tool for a wide range of mineral exploration activities. This study investigates the effectiveness of ensemble learning (EL) algorithms for lithological classification and mineral exploration using EnMAP hyperspectral imagery (HSI) in a semi-arid region. The Moroccan Anti-Atlas mountainous region is known for its complex geology, high mineral potential and rugged terrain, making it a challenging for mineral exploration. This research applies core and heterogeneous ensemble learning methods, i.e., boosting, stacking, voting, bagging, blending, and weighting to improve the accuracy and robustness of lithological classification and mapping in the Moroccan Anti-Atlas mountainous region. Several state-of-the-art models, including support vector machines (SVMs), random forests (RFs), k-nearest neighbors (k-NNs), multi-layer perceptrons (MLPs), extra trees (ETs) and extreme gradient boosting (XGBoost), were evaluated and used as individual and ensemble classifiers. The results show that the EL methods clearly outperform (single) base classifiers. The potential of EL methods to improve the accuracy of HSI-based classification is emphasized by an optimal blending model that achieves the highest overall accuracy (96.69%). The heterogeneous EL models exhibit better generalization ability than the baseline (single) ML models in lithological classification. The current study contributes to a more reliable assessment of resources in mountainous and semi-arid regions by providing accurate delineation of lithological units for mineral exploration objectives. Full article

This study is a qualitative study conducted in order to examine the religious lives of students studying in different faculties of (x) University in the academic year 2024–2025 and to understand their perspectives on religious beliefs and practices. The research data were obtained through semi-structured interviews with 20 students on a voluntary basis. In the study, students’ worship habits, such as prayer, fasting, reading the Qur’an, and praying, which can be considered as the basic worship practices of Islam, and the reflection of these habits on their lives were discussed. The data obtained show that the majority of the students attach importance to religious practices but have various difficulties in fulfilling these practices. In the study, it was determined that most of the participants evaluated prayer as a means of connecting with God, finding inner peace, and gaining a sense of responsibility, and fasting in the context of patience, self-training, empathy, and spiritual maturity. The majority of the participants embraced the Qur’an as the main source and sacred text of Islam, and they practiced reading the Qur’an in Arabic more than they practiced reading the translation. Praying was determined as the most common and continuous practice among the participants. As a result, it has been determined that although university youth do not have different results in terms of beliefs regarding worship, they do not show the same sensitivity in terms of practice. Full article

Background: This study aimed to evaluate the impact of surgical margin status, tumor size, and adjuvant radiotherapy on local control, overall survival, and postoperative complications in patients undergoing surgery for sacral chordoma. Methods: This retrospective analysis included 18 patients who underwent surgical treatment for primary sacral chordoma between 2002 and 2019. The variables assessed included patient demographics, tumor size and volume, surgical margin status, adjuvant radiotherapy, local recurrence, overall survival, and postoperative complications. Survival analysis was performed using the Kaplan–Meier method, and appropriate parametric or non-parametric tests were used for group comparisons. Results: The cohort’s mean age was 62.6 ± 7.9 years, with a mean follow-up of 8.8 ± 4.1 years and an average tumor volume of 235 cm³. Negative surgical margins (R0) were achieved in 44% of patients. Local recurrence occurred in 50% of R0 cases and 83% of R2 cases. Negative surgical margins (R0) were associated with significantly lower local recurrence rates compared to R1 and R2 resections (Fisher’s exact test, p = 0.043), and showed a trend toward improved overall survival (p = 0.077). Overall survival was significantly lower in patients with tumors measuring ≥ 5 cm (p = 0.031). Adjuvant radiotherapy did not significantly reduce local recurrence (p = 0.245); however, an increase in complication rates was observed, although this association did not reach statistical significance (p = 0.108). Bladder dysfunction was significantly more frequent in patients undergoing S1–S2 resections (p = 0.036). Conclusions: Achieving negative surgical margins improves local control and may prolong survival. Larger tumors (≥5 cm) were associated with worse prognosis. While adjuvant RT may be considered in selected high-risk cases, its efficacy in preventing recurrence is unclear and may increase complication rates. Full article

Systematic reviews are a cornerstone of evidence-based research, providing comprehensive summaries of existing studies to answer specific research questions. This article offers a detailed guide to conducting high-quality systematic reviews in biology, health and social sciences. It outlines key steps, including developing and registering a protocol, designing comprehensive search strategies, and selecting studies through a screening process. The article emphasizes the importance of accurate data extraction and the use of validated tools to assess the risk of bias across different study designs. Both meta-analysis (quantitative approach) and narrative synthesis (qualitative approach) are discussed in detail. The guide also highlights the use of frameworks, such as GRADE, to assess the certainty of evidence and provides recommendations for clear and transparent reporting in line with the PRISMA 2020 guidelines. This paper aims to adapt and translate evidence-based review principles, commonly applied in clinical research, into the context of biological sciences. By highlighting domain-specific methodologies, challenges, and resources, we provide tailored guidance for researchers in ecology, molecular biology, evolutionary biology, and related fields in order to conduct transparent and reproducible evidence syntheses. Full article

Background: Recurrent implantation failure (RIF) poses a major challenge in assisted reproductive technologies, with thin endometrium (≤7 mm) being a frequently observed yet poorly understood condition. Emerging evidence implicates nuclear factor-kappa B (NF-κB), a key transcription factor in inflammatory signaling, in impaired endometrial receptivity. However, its clinical relevance and prognostic value for live birth outcomes still need to be fully elucidated. Objective: We aim to evaluate the expression levels of endometrial NF-κB in patients with RIF and thin endometrium and to determine its potential as a predictive biomarker for live birth outcomes following IVF treatment. Methods: In this prospective case–control study, 158 women were categorized into three groups: Group 1 (RIF with thin endometrium, ≤7 mm, n = 52), Group 2 (RIF with normal endometrium, >7 mm, n = 38), and fertile controls (n = 68). NF-κB levels were assessed using ELISA and immunohistochemical histoscore. Pregnancy outcomes were compared across groups. ROC analysis and multivariable logistic regression were performed to assess the predictive value of NF-κB. Results: NF-κB expression was significantly elevated in Group 1 compared to Group 2 and controls (p = 0.0017). ROC analysis identified a cut-off value of 7.8 ng/mg for live birth prediction (AUC = 0.72, sensitivity 74%, specificity 75%). Multivariable analysis confirmed NF-κB is an independent predictor of live birth (p = 0.045). Histological findings revealed increased NF-κB staining in luminal and glandular epithelial cells in the thin endometrium group. Conclusions: Increased endometrial NF-κB expression is associated with thin endometrium and reduced live birth rates in RIF patients. NF-κB may serve not only as a biomarker of pathological inflammation but also as a prognostic tool for treatment stratification in IVF. Based on findings in the literature, the therapeutic targeting of NF-κB may represent a promising strategy to improve implantation outcomes. Full article

Many environmental risks, such as global warming and depletion of natural resources, force governments to achieve economic growth and financial development without causing environmental degradation. The dependency of countries’ dependence on fossil fuels also causes energy supply security problems due to the associated risks at regional and global levels. These reasons lead countries to diversify and increase their renewable energy investments. In this context, this study focuses on the most attractive countries in terms of renewable energy investments and analyzes the relationships between renewable energy consumption (REC), carbon dioxide emissions (CO₂), economic growth (EGRO), financial development (FD), and energy dependence (EDP) using the panel regression method. This research uses data from 38 countries between 1991 and 2021 within the scope of the “Renewable Energy Attractiveness Index” (RECAI) created by Ernst & Young. As a result of the heterogeneity and cross-sectional dependency tests, the data were analyzed using the Westerlund cointegration test, the Augmented Mean Group (AMG) estimator, and the Emirmahmutoglu and Kose causality test. The findings from this study show that FD and EGRO have a positive and significant effect on REC, whereas they have a negative and significant relationship with CO₂ emissions. Findings from the causality test show that FD has an impact on both CO₂ and EGRO. In addition, within the scope of this study, a causality was determined between EDP and REC, and a mutual relationship between energy demand and CO₂ was revealed. In light of these findings, governments should increase their investments in renewable energy to ensure sustainable economic growth and energy supply security while minimizing environmental degradation. Full article

Background: Arteriovenous malformations (AVMs) are rare vascular anomalies that can cause intracerebral hemorrhage, particularly in pediatric patients. Low-flow AVMs may not be visualized on initial non-invasive imaging modalities such as MR angiography. Methods: We report a 6-year-old boy who presented with intracerebral hemorrhage and initially had no detectable vascular anomaly on MR angiography and MR venography. Two years later, he was re-admitted with a recurrent hemorrhage. Repeating MR angiography again failed to reveal any vascular pathology. Results: Digital subtraction angiography (DSA) performed later identified a grade 3 low-flow AVM in the left posterior temporal region. The patient underwent successful endovascular treatment with no subsequent neurological deficits. Conclusions: This case underscores the limitations of MR angiography in detecting low-flow AVMs and highlights the essential role of DSA in the definitive diagnosis and management of unexplained intracerebral hemorrhages in pediatric patients. Full article

The association between aluminum exposure and obesity remains uncertain. This study investigated whether aluminum exposure (dietary, serum, and urinary) is linked to obesity and whether dietary antioxidant capacity moderates this relationship. A total of 54 adult women (26 obese, 28 normal weight) were recruited from a private weight loss clinic in Türkiye. Dietary aluminum exposure was estimated using 24 h dietary recalls and literature values, and antioxidant capacity was calculated through a food frequency questionnaire. Serum and spot urine samples were collected, and aluminum levels were measured using inductively coupled plasma optical emission spectrometry. No significant differences were observed between normal weight and obese groups in serum aluminum (127.7 ± 102.42 vs. 122.9 ± 88.37 µg/L, p > 0.05), urinary aluminum (28.1 ± 12.73 vs. 14.1 ± 10.77 µg/L, p > 0.05), or weekly dietary aluminum exposure (0.61 ± 0.45 vs. 0.45 ± 0.24 mg/kg bw/week, p > 0.05). Dietary aluminum exposure correlated positively with total antioxidant capacity (r = 0.665, p < 0.001). Regression analysis revealed that dietary aluminum exposure was inversely associated with body mass index (β = −0.27, p < 0.05), while antioxidant capacity did not moderate this relationship, nor did the age difference. These results suggest dietary aluminum exposure reflects diet quality and/or food preparation methods, etc., rather than directly influencing obesity. Full article

Background: Multidrug-resistant bacteria (MDRB) represent a significant challenge in intensive care units (ICUs), as they limit treatment options, prolong hospital stays, and escalate healthcare costs. Respiratory ICUs are particularly affected due to the high prevalence of chronically ill patients with recurrent infections. Understanding the impact of culture positivity and MDRB on clinical outcomes and readmission rates is essential for enhancing patient care and addressing the growing burden of antimicrobial resistance. Methods: This retrospective study was conducted in a specialized respiratory ICU at a tertiary care hospital between 1 January 2019, and 1 January 2020. A total of 695 ICU admissions were analyzed, with patients grouped based on readmission status and culture results. Demographic, clinical, and laboratory data were reviewed. Statistical analyses were performed using appropriate tests, with p-values ≤ 0.05 considered statistically significant. Results: Among the 519 unique patients, 65 experienced ICU readmissions. Male patients were significantly more likely to be readmitted (p = 0.008). Culture positivity was predominantly observed in respiratory samples, with Klebsiella spp. identified as the most common pathogen. MDRB prevalence exceeded 60% in both groups, significantly prolonging ICU stays (p = 0.013). However, no significant differences in survival rates were observed between MDRB-positive and MDRB-negative groups. Notably, patients with readmissions had lower C-reactive protein (CRP) levels both during admission and at discharge compared to non-readmitted patients (p = 0.004). This paradox may reflect a subclinical inflammatory response associated with bacterial colonization rather than active infection, particularly in patients with chronic respiratory diseases. Conclusions: MDRB infections and culture positivity are key contributors to prolonged ICU stays, resulting in increased healthcare costs. Implementing effective strategies to manage MDRB infections is critical for improving outcomes in respiratory ICUs and reducing associated risks. This study underscores the growing burden of MDRB and highlights the importance of enhanced antimicrobial stewardship in respiratory ICUs. Full article

This study investigates the presence of the MAX effect, as defined by Bali et al. (2011), in the stock market of Borsa Istanbul, aiming to validate and extend previous findings in international markets. A comprehensive analysis of 439 firms from December 2013 to November 2023 reveals that stocks with low performance in previous periods tend to show strong performance in subsequent periods. This finding indicates that the MAX effect is also applicable to Borsa Istanbul and suggests that this effect can significantly influence stock price movements in the market. Additionally, this study highlights that past maximum returns, especially those accumulated over long periods, have a distinct impact on future returns. These findings contribute to a deeper understanding of the MAX effect’s presence in and impact on financial markets and offer valuable guidance for market participants. Full article

Background/Objectives: Adequate bowel preparation is essential for high-quality colonoscopy. The clarity of the final rectal effluent can predict its sufficiency and guide additional preparation if necessary. For an objective and reliable clarity assessment, the stool collection method may be as important as the evaluation itself. This study was designed to compare the sensitivity of clarity assessments of effluent collected using two methods: a disposable cardboard bedpan with a white bag (Group I) and a 50 mL transparent plastic container (Group II). Methods: A prospective, single-center, randomized, comparative study was conducted between August 2024 and January 2025. Based on predefined criteria, 37 of 177 randomized patients were excluded, and 140 were analyzed. Results: Inadequate bowel preparation was correctly identified by a team member in 71% of Group I and 23% of Group II (p = 0.033). In adequate cases, the detection sensitivity was 88% and 85% (Groups I and II, respectively; p = 0.854). Significantly more patients in Group II either withdrew or failed to submit a photograph of the final rectal effluent. Patients’ verbal assessments did not differ significantly between the groups, regardless of bowel preparation quality. Conclusions: Patient self-assessment was an unreliable indicator of bowel cleanliness, highlighting the need for objective, standardized pre-colonoscopy evaluation methods. The use of a disposable cardboard bedpan with a white bag to collect the final rectal effluent may improve the accuracy of predicting inadequate preparation and patient compliance and may allow timely adjustments to bowel cleansing prior to colonoscopy in routine endoscopy practice. Full article

The combination of sofosbuvir/velpatasvir/voxilaprevir (SOF/VEL/VOX) is recommended as a salvage therapy for treatment-experienced chronic hepatitis C (CHC) patients. However, it is used in our country for treatment-naïve and treatment-experienced patients. This study aims to present real-world data from Türkiye on CHC patients treated with SOF/VEL/VOX. The present study was conducted by the Viral Hepatitis Study Group of the Turkish Society of Clinical Microbiology and Infectious Diseases (KLİMİK). It was a multicenter, retrospective, observational study. The data were collected from patients receiving SOF/VEL/VOX therapy at 12 medical centers in Türkiye between 1 June 2022 and 31 December 2024. The patients had received the treatment for 8 to 12 weeks. Of the 139 patients enrolled, 63.3% (n = 88) were male, with a mean age of 54.4 years. Most patients were non-cirrhotic (94.2%, n = 131) and treatment-naïve (92%, n = 128); 49.6% (n = 69) were infected with genotype 1b. Early virologic response (EVR) could be assessed in 126 patients, with an EVR rate of 82.5% (n = 104). End-of-treatment data were available for 113 patients, all achieving an end-of-treatment response. Among the 80 patients for whom week-12 post-treatment data were available, 97.5% sustained virologic response at week 12 (SVR12). Significant improvements were observed in AST, ALT, and platelet levels, along with reductions in APRI and FIB-4 scores (p = 0.001).” No serious adverse events leading to treatment discontinuation were reported. Mild adverse events included pruritus (2.1%, n = 3), fatigue (2.1%, n = 3), and nausea (1.4%, n = 2). The SOF/VEL/VOX combination is a highly effective and well-tolerated treatment option in treatment-naïve CHC patients, achieving an SVR12 rate of 97.5%. Full article

Maize is a vital global crop, serving as a fundamental component of global food security. To support sustainable maize production, the accurate classification of maize seeds—particularly distinguishing haploid from diploid types—is essential for enhancing breeding efficiency. Conventional methods relying on manual inspection or simple machine learning are prone to errors and unsuitable for large-scale data. To overcome these limitations, we propose Slot-Maize, a novel deep learning architecture that integrates Convolutional Neural Networks (CNN), Slot Attention, Gated Recurrent Units (GRU), and Long Short-Term Memory (LSTM) layers. The Slot-Maize model was evaluated using two datasets: the Maize Seed Dataset and the Maize Variety Dataset. The Slot Attention module improves feature representation by focusing on object-centric regions within seed images. The GRU captures short-term sequential patterns in extracted features, while the LSTM models long-range dependencies, enhancing temporal understanding. Furthermore, Grad-CAM was utilized as an explainable AI technique to enhance the interpretability of the model’s decisions. The model demonstrated an accuracy of 96.97% on the Maize Seed Dataset and 92.30% on the Maize Variety Dataset, outperforming existing methods in both cases. These results demonstrate the model’s robustness, generalizability, and potential to accelerate automated maize breeding workflows. In conclusion, the Slot-Maize model provides a robust and interpretable solution for automated maize seed classification, representing a significant advancement in agricultural technology. By combining accuracy with explainability, Slot-Maize provides a reliable tool for precision agriculture. Full article

Background/Objectives: Despite extensive research on caffeine’s (CAF’s) ergogenic effects, evidence regarding its impact on anaerobic performance in female athletes remains limited and inconclusive. The aim of this study was to investigate the acute effects of 6 mg/kg⁻¹ caffeine on anaerobic performance, functional strength, agility, and ball speed in female soccer players. Methods: A randomized, double-blind, placebo-controlled crossover design was employed. Thirteen moderately trained female soccer players (age: 21.08 ± 1.11 years; height: 161.69 ± 6.30 cm; weight: 59.69 ± 10.52 kg; body mass index (BMI): 22.77 ± 3.50 kg/m²; training age: 7.77 ± 1.16 years; habitual caffeine intake: 319 ± 160 mg/day) completed two experimental trials (caffeine vs. placebo (PLA)), separated by at least 48 h. Testing sessions included performance assessments in vertical jump (VJ), running-based anaerobic sprint test (RAST), bilateral leg strength (LS), handgrip strength (HS), single hop for distance (SH), medial rotation (90°) hop for distance (MRH), change of direction (COD), and ball speed. Rating of perceived exertion (RPE) was also recorded. Results: CAF ingestion significantly improved minimum (p = 0.011; d = 0.35) and average power (p = 0.007; d = 0.29) during RAST. A significant increase was also observed in SHR (single leg hop for distance right) performance (p = 0.045; d = 0.44). No significant differences were found in VJ, COD, ball speed, LS, HS, SHL, MRHR, or MRHL (p > 0.05). RPE showed a moderate effect size (d = 0.65) favoring the CAF condition, though not statistically significant (p = 0.110). Conclusions: In conclusion, acute CAF intake at a dose of 6 mg/kg⁻¹ may enhance anaerobic capacity and lower-limb functional strength in female soccer players, with no significant effects on jump height, agility, or upper-body strength. Full article

A public transportation system consists of complex processes and requires comprehensive planning activities for a city when dealing with the travel behavior decisions of passengers. Travel behavior decisions are important in selecting suitable transportation alternatives for passengers. In the literature, little attention has been paid to prioritizing the criteria and ranking the alternatives for assessing sustainable and traditional public transportation modes when considering the travel behavior decisions of passengers. In this paper, a five-phased novel decision analysis framework, including Analytic Hierarchy Process (AHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and VIekriterijumsko KOmpromisno Rangiranje (VIKOR) techniques, is proposed to evaluate the alternatives. In addition, to the best of our knowledge, the novel decision-making framework in this paper has not been employed before to assess sustainable transportation alternatives dealing with the travel behavior decisions of passengers. Next, the thirteen criteria are specified, including economics, safety, travel quality, and environmental and health aspects, to analyze the travel behavior decisions of passengers with regard to the experts’ notions, published reports, and papers. Then, the seven public transportation alternatives are determined, including sustainable and traditional transportation modes. A case study was carried out in Istanbul, Türkiye. Based on the results, service frequency, the vehicle type and its mechanism, and ease of accessibility were found to be the top three significant criteria that affect travel behavior decisions. Furthermore, metro, Marmaray, and metrobus are the top three public transportation alternatives. In addition, the results were verified. Moreover, managerial and theoretical recommendations are provided to policymakers. Lastly, sustainable development goals 11.2 and 11.b can be achieved by designing an accessible, affordable, environmentally friendly, safe, and sustainable public transportation system when analyzing the travel behavior decisions of passengers. Full article