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    Landslide susceptibility classification using multi hive artificial bee colony programming: A novel symbolic regression framework

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    Landslides, highly destructive natural hazards, threaten mountainous regions impacted by rainfall, seismic activity, and human actions. Machine learning (ML) techniques for landslide susceptibility mapping (LSM) often face challenges like interpretability, overfitting, and handling high-dimensional data. This study presents Multi Hive Artificial Bee Colony Programming (MHABCP), a novel symbolic regression framework merging swarm intelligence and multi-tree programming to create interpretable, robust LSM models. A key feature is the integration of the Relative Outlier Cluster Factor method for outlier detection, enhancing data quality and model stability. Tested against Multi Gene Genetic Programming (MGGP) using a dataset from Varto, eastern Turkey, with 18 environmental and topographic factors, MHABCP achieved 90.57 % test accuracy and a 90.51 % F1-score, surpassing MGGP in all metrics while remaining interpretable. MHABCP also showed consistency across 100 runs and better classified landslide-prone areas, offering a scalable, explainable solution for disaster risk reduction and geospatial planning

    2-hydrazinobenzothiazole derivatization, micellar enhanced Eosin Y extraction and determination of acetaldehyde in fermented foods by pH-dependent charge transfer sensitive spectrophotometry

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    In this study, a novel eco-friendly enrichment method was developed for the derivatization and micellar enhanced extraction of acetaldehyde with 2-hydrazinobenzothiazole and eosin Y in fermented foods prior to its analysis. The method is based on ion-pair formation by pH-dependent CT among analyte and reagents in the presence of sensitivity enhancers SDS and CTAB at pH 5.0 and 7.0, respectively. The ion-pair enriched in micellar phase was diluted with acetone, and monitored at 526 nm by means of spectrophotometer. The parameters affecting extraction efficiency were evaluated and enhanced. Its performance was established under optimal conditions. After preconcentration and sensitivity enhancement of 70- and 44.5–68.1-folds, a linear relationship was achieved in the range of 4–170/3–150 µg L−1, with LODs / LOQs of 1.26, 4.20/0.91, 3.0 µg L−1. The recovery rate was in range of 93.2–97.2 %, with an RSD of less than 5.2 %. An interference study was also conducted. After the validation, the method, without a matrix effect, was successfully applied to the analysis of the fermented foodstuffs via two calibration curves

    Web Mining for Job Description Analysis

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    Analyzing job descriptions in today’s dynamic job market is crucial for understanding industry trends, skill demands, and workforce planning. This study uses web mining techniques to extract, process, and analyze job postings from various online sources. By leveraging web scraping, Natural Language Processing (NLP), and machine learning, we identify key skills, qualifications, and experience requirements across different industries. The study also investigates job-skill gaps by comparing demanded qualifications with workforce competencies. The findings provide valuable insights for employers and universities. The proposed methodology offers a scalable real-time labor market analysis approach, which can support career guidance systems and strategic workforce planning. Future work may focus on enhancing recommendation models for personalized job matching and integrating dynamic labor market forecasting techniques

    Predictive Factors for Urethral Stricture Development in Patients with Bladder Tumor: The Role of Intravesical BCG Therapy Factores predictivos del desarrollo de estenosis uretral en pacientes con tumor vesical: el papel de la terapia intravesical con BCG

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    Objective: This study aims to investigate the predictive role of intravesical Bacillus Calmette-Guérin (BCG) therapy on urethral stricture development in male patients undergoing bladder tumor surveillance, while also assessing the impact of repeated urethral instrumentation on stricture risk. Methods: This retrospective study included male patients aged 18–90 with non-muscle invasive bladder tumors followed between 2018 and 2024. Demographics, cystoscopy and TUR procedures, intravesical treatments (BCG and chemotherapy), and urethral stricture diagnosis were recorded. Urethral stricture was confirmed by uroflowmetry, cystoscopy, and urethrography. Patients with prior urethral stricture or incomplete records were excluded. Statistical analyses included logistic regression to identify predictors of stricture development, adjusting for age and comorbidities. Sample size was calculated to ensure adequate power to detect a 15% difference in stricture incidence related to BCG therapy. Results: A total of 187 male patients were analyzed, with a 12.3% urethral stricture incidence. BCG therapy was administered to 32.6% of patients and significantly increased stricture risk (OR: 4.11, p = 0.015). Each additional dose was associated with an increased risk (OR: 2.11, p = 0.001). TURP (OR: 2.95, p = 0.045) and the number of cystoscopies (OR: 1.42 per procedure, p = 0.040) were also significant predictors. Tumor size ≥3 cm was associated with higher risk (OR: 1.88, p = 0.037). Spearman analysis showed positive correlations between stricture severity and both BCG doses and cystoscopy number. Conclusion: Intravesical BCG therapy, repeated cystoscopies, and TURP increase urethral stricture risk in bladder tumor patients. Preventive measures and careful monitoring are essential to reduce urethral complications

    The Morphologic and Morphometric Study on Foot Pads of the Golden Jackal (Canies Aureus)

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    The study aimed to detect the morphological and histological structures and morphometric measurements of foot pads using radiography, dissection, and light and scanning electron microscopy in the Golden Jackal (Canies aureus). For this purpose, one adult male and one adult female Golden Jackal (weighing 11 and 12 kg respectively) were used as animal material. Dissection and radiography methods for the macroscopic structure and histological staining (triple stain) methods for the microscopic structure of the foot pads were used. To determine the size and area of the foot pads, the foot pads were first photographed, and then measurements were made from these pictures via the Fiji program. Macroscopically, in the jackal, it was determined that the foot pads were located on the palmar or plantar surface in the paw and pes; the metacarpal (MCP) and metatarsal pads (MTP) were in a triangle shape, and the basal corners of the metacarpal pad were more prominent than those of the metatarsal pad. II. and V. digital pads in both the paw and pes were separated and ovoid-shaped; III. and IV. digital pads uniting in the proximal were shaped like the letter U, with their arms pointing downwards. In SEM images, it was observed that the corneum layer of the epidermis of the digital pads consisted of multilayered keratinized plates resembling fish scales, that there were occasional round-shaped openings in this layer, that cone-shaped protrusions were evident in this layer of MTC and MTP, and that the dermis layer contained abundant connective tissue bundles

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