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The Reciprocal Relationship Between Musical Hearing and Piano Performance: A Collaborative Student–Teacher Research Approach
No full textThis study aims to explore the reciprocal relationship between the development of musical hearing and piano performance, with an emphasis on the importance of music notation literacy and technical practice as key elements in shaping musical sensitivity. Through the acquisition of notation skills and the regular practice of piano works from various styles, the student not only improves interpretative abilities but also develops relative hearing and recognition of musical structures. The research adopts a qualitative and exploratory approach, combining the experience of an outstanding student in piano performance with pedagogical observations and comparisons with other students. The analysis is enriched through comparison with international academic literature, identifying models and similar experiences in musical and educational practice. The active participation of the student as co-author reinforces the reflective approach and highlights the connection between daily piano practice and progress in musical hearing skills. This pedagogical approach aims to contribute to a deeper understanding of the interplay between theoretical and practical aspects within the music education process
Automation of Product Configuration through CAD: A Case of Machine Design
No full textThis paper presents a parametric and rule-based approach for automating product configuration in machine design using advanced 3D modeling and scripting techniques within modern CAD environments. Traditional design workflows require extensive manual adjustments for every product variation, which increases time and cost. The proposed method integrates parameterized 3D models with embedded logical rules to automatically adapt dimensions, generate 2D/3D documentation, and update the Bill of Materials (BOM) based on user-defined input values. The developed system enables instant customization of machine base structures while maintaining design consistency and accuracy. Results show a reduction of design time by up to 95 % compared with manual methods, confirming that the integration of parametric modeling and rule-driven automation provides a practical step toward fully digitalized design workflows aligned with Industry 4.0. Future work includes extending the system for integration with enterprise platforms and online configurators, while addressing current limitations related to model complexity and cross-platform compatibility
Perceptuo-Motor Profiling of 7–9-Year-Olds in Kosovo to Spot Table Tennis Potential
No full textThis study aimed to identify 7–9-year-old children in Kosovo with the greatest potential for table tennis by evaluating perceptuo-motor skills according to age and sex. Methods: The sample included 221 students (117 girls, 104 boys), and measurements included Sprint, Vertical Jump, Throwing the Ball, Eye–Hand Coordination (1m), Speed Dribbling, Aiming at Target, and Ball Skills. Data were processed using SPSS 26, and descriptive statistics such as means, standard deviations, and percentiles were calculated. Differences by age and sex were tested using Multivariate General Linear Model (GLM) analyses, with univariate results for individual tests, and post-hoc Tukey HSD tests identified significantly different age groups. Preliminary normative values were determined using percentiles divided into five equal portions. Results: The results show that perceptuo-motor skills for table tennis talent identification vary across age groups and between sexes. Older children demonstrated higher performance in most motor and technical tests, while sex differences were observed in specific skills such as eyehand coordination and speed dribbling. Conclusion: These findings highlight the importance of assessing perceptuo-motor abilities for identifying potential talent and guiding the development of young players in table tenni
The Humanitarian Age: A Transformative Framework for Governing Emerging Technologies
No full textThe purpose of this study is to propose a new paradigm for managing the global risks associated with artificial intelligence and emerging technologies. Using a transformative research methodology that integrates philosophical reasoning and logical analysis, the research develops the Humanitarian Framework for Technology Management. This model seeks to counter misinformation and establish coherent principles for technological oversight. Findings reveal that meaningful governance requires collaboration between multinational corporations and local communities to ensure accountability, transparency, and equitable benefit-sharing. The implications of the research are twofold: first, it provides a structured approach to align innovation with humanitarian and security priorities; second, it demonstrates that ethical, community-based governance can transform technology from a potential destabilizing force into an instrument of global stability and collective progress. The study defines this convergence as the onset of a new era (the Humanitarian Age.
Socializing Math Equally? Exploring Gendered Assumptions in the Home Learning Environment
No full textAlthough many parents believe they treat their children the same, subtle gender differences in how they support math learning may go unnoticed. This study examined how parents perceive their math socialization practices and whether they believe these would differ if their child were a different gender. Forty primary caregivers (88% mothers) of children aged 4–9 were interviewed about the home math environment. While all parents stated that math is equally important for boys and girls, 40% framed this around gender equality, 68% mentioned universal relevance, and 10% mentioned gendered differences in math ability. When asked how their behavior might change if their child were a different gender, 60% said they would engage in different activities. Only 43% said they would offer the same toys, and 58% said their interactions would remain the same. These findings underscore the need to examine hidden gendered assumptions in early math socialization at home
The impact of parenting style on adolescents’ developmental assets
No full textThis study examines the relationship between parenting styles and developmental assets among Albanian adolescents. The sample consisted of 101 high school students in Kosovo, aged 15–18. Parenting styles were measured using the Parenting Style Inventory II (PSI-II), while developmental assets were assessed with the Developmental Assets Questionnaire. The results indicated that the authoritative parenting style is positively and significantly associated with higher developmental assets in adolescents (B = 1.702, p \u3c .001). This highlights the role of supportive and balanced parenting in enhancing adolescents’ psychosocial well-being. An analysis of variance (ANOVA) on birth order revealed significant differences in several dimensions, including positive values (p \u3c .001), commitment to learning (p \u3c .001), constructive use of time (p = .045), and social support (p = .016). These findings suggest that one’s position within the family influences the development of key psychological and social assets during adolescence. The findings of this study recommend the development of psycho-educational training programs for parents and teachers, as well as policies that promote social support and constructive use of time among youth
MEDITATION AS PART OF THE INTERVENTION IN ALLEVIATING DISTRESS IN THE PSYCHOTHERAPY PROCESS OF ADULTS
No full textThis paper aims to clarify the effect of meditation on the process of psychotherapy and its impact on emotional relief, compared to the techniques of psychoeducation and discussion about the problem. The main problem that this paper addresses is: Is there a difference between the intervention technique of meditation, the psychoeducation and discussion about the problem in emotional relief during the process of psychotherapy in adults? This question addresses an important issue in the field of psychotherapy, analyzing which of these approaches may have a greater impact on the emotional well-being of individuals facing emotional and psychological challenges. The main purpose of this study is to prove the impact of meditation practice on the emotional relief of clients with various psychological concerns. The results of this study will be important in the treatment of clients for practicing psychologists as well as the use of interventional techniques in the psychotherapy processes
Eosinophilic esophagitis: A rare case of dysphagia
No full textEosinophilic esophagitis (EoE) is a chronic, inflammatory disease of the esophagus associated with the infiltration of the mucosa by eosinophils and is accompanied by symptoms such as dysphagia, food impaction, and retrosternal pain. In recent decades, a significant increase in its incidence has been observed, especially in Western countries, making it one of the main causes of dysphagia in young individuals. The diagnosis of EoE is based on a combination of clinical and endoscopic findings and histopathological biopsies, which confirm an infiltration of more than 15 eosinophils/HPF (high-power field). Differentiation from other diseases, especially gastroesophageal reflux resistant to treatment with proton pump inhibitors, is essential to establish the appropriate therapy. The treatment of EoE involves a combined approach known as “the 3Ds”: elimination diet, drug therapy (proton pump inhibitors and topical corticosteroids), and endoscopic dilation in cases with strictures. Management requires long-term monitoring to prevent the development of fibrosis and structural complications of the esophagus. Our paper presents a case study that illustrates the clinical, diagnostic, and therapeutic aspects of this pathology. The aim is to emphasize the importance of early diagnosis and a multidisciplinary approach, with the goal of improving the quality of life for patients and reducing long-term complications
Identification of Triage Methods in Emergency Cases in the Municipality of Kamenica
No full textObjective: This research aims to examine the level of knowledge, practical application, and attitudes of nurses in the municipality of Kamenica regarding the implementation of triage methods, as well as to identify areas for improvement and the need for support from healthcare institutions. Methodology: This study employed a quantitative method using a questionnaire consisting of 15 structured questions based on a five-level Likert scale. The questionnaire was physically distributed to nurses at the Main Family Medicine Center (QKMF) in Kamenica and the Family Medicine Ambulance (AMF) in Roganë. Out of 50 questionnaires distributed, 45 were returned completed within a two-week period. Results: The data showed that although there is a moderate awareness of the importance of triage, the practical application of modern methods and standardized protocols remains limited. Results indicated that 33% of nurses frequently use standardized schemes, 33% use them occasionally, 18% rarely, and 7% never. These findings reflect variability in the use of triage protocols and suggest the need for further training and improvements in their implementation. Conclusions: This study highlights the need for institutional intervention, including structured training, investment in infrastructure, and the harmonization of triage protocols across all healthcare centers in the municipality of Kamenica
Machine Learning -Project Data Analysis: Linear, Multiple, and Logistic Regression Diamond Price Prediction Diamond Price Category Prediction
No full textThe research presented here focuses into the use of machine learning techniques to predict diamond price and diamond price category prediction, based on key properties like: carat, cut, color, clarity, and physical dimensions. The study uses a structured dataset with both numerical and categorical characteristics to train and assess regression and classification algorithms. The project\u27s goal is to create an accurate forecasting system that will benefit diamond market stakeholders through data preprocessing, visualization, and model comparison. The expected outcomes include obtaining a predicted accuracy of at least 80%, identifying the most influential features influencing diamond pricing, and determining the best-performing model using performance indicators. By addressing the complexity of diamond valuation, this project helps traders and consumers make better data-driven decisions by providing a transparent, reproducible methodology backed up with Python implementations and visual analytics. The findings not only improve market understanding, but also highlight machine learning\u27s potential for tackling real-world pricing challenges in the luxury goods sector