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The Role of the Nurse in the Care of Children with High Fever
No full textNursing care is an essential component in the management of high fever in children, especially in pediatric wards. High fever is one of the most common symptoms that prompts the search for medical help in children and can be an indicator of various clinical conditions. The role of nurses is crucial in the assessment, monitoring and management of the condition of children with fever, ensuring appropriate interventions to prevent possible complications and to alleviate parental concerns. In addition to physical and pharmacological treatments, nurses provide education and support to families, helping to create a safe and appropriate environment for the recovery of children. Methodology: This study was conducted in the Pediatric Department of the University Clinical Center of Kosovo (UCCK), using the quantitative method through the distribution of questionnaires to nurses. The aim of the research is to assess the knowledge, experience and practices of nurses in the care of children with high fever. A total of 40 nurses were included and a structured questionnaire was administered to them, covering aspects of fever assessment, applied interventions, collaboration with parents and the educational role of nurses. Conclusion: This research aims to reflect the importance of the role of nurses in the care and management of children with high fever, as well as to identify current practices and needs for improvement in the provision of nursing care in the pediatric context
Radon Concentration Measurements in Some Enclosed Environments in the Gjilan Region
No full textThe purpose of this study was to assess the concentration of radon (²²²Rn), in 31 locations, including schools, public buildings and private homes in the municipalities of Gjilan, Kamenica and Viti, to compare them with international standards and to identify potential risks to public health in some public institutions, schools and private homes in the municipalities of Gjilan, Kamenica and Viti, with the aim of comparing the results with international standards and identifying potential risks to public health. The methodology used is mainly based on radon concentration measurements that were carried out during the period May–June 2025, using the portable AMES PRM-145 apparatus, which is based on scintillation cells for the detection of alpha radiation and here the scintillation cell methods - Lucas were used. The samples were selected in a representative manner, including buildings with different characteristics. Data analysis was performed using statistical methods and graphical presentation of the results, including the calculation of the average radon concentration and the annual effective dose for residents. The results showed significant variations in radon concentration between municipalities and building types. The highest concentration was recorded in the SHFMU “Skënderbeu” (Përlepnica, Gjilan) with 363.15 Bq/m³ and in a private house in Hodonoc (Kamenica) with 354.85 Bq/m³, while the lowest value was recorded at the Fire Station in Viti with 88.62 Bq/m³. The average annual effective dose ranged from 0.64 mSv/year to 2.61 mSv/year, exceeding the recommended limit of 1 mSv/year in some locations. The conclusion of the study findings is that there is the presence of high concentrations of radon in some indoor environments in the Gjilan region, highlighting the need for continuous monitoring and implementation of preventive measures, especially in buildings with limited ventilation. The results of this study provide sufficient contribution to public awareness by providing a scientific basis for the development of radiological protection policies in these regions and perhaps throughout Kosovo
An overview on chemical profile for oil and alcholic tinctures of Rosmarinus Officinalis plants
No full textThis study shown data on chemical profile for oil and alcoholic tinctures of Rosmarinus officinalis cultivated populations from Durres area. Rosemary is an essential perennial aromatic, evergreen shrub belonging to the family Lamiaceae and indigenous to the Mediterranean region. This plant has branches full of green leaves that exude a characteristic fragrance. For this is widely used in culinary. Rosemary is used since ancient times in traditional medicine because of its vital health effects. Rosemary is a popular and versatile, medicinal plant, and is often used in tinctures and other home remedies. It can be used to treat respiratory infections, digestive issues, and skin irritation. Rosemary tincture believed to improve cognitive function and memory. Rosmarinus Officinalis cultivated plants from Durres area (Lalzi Bay) were taken in January 2025. Plant samples, branches with their leaves, were used for the preparation of oil and alcoholic tinctures of rosemary. After six weeks tinctures were subjected of gas chromatography analyzes for identification of their chemical profile. The rosemary tinctures were injected directly in a Varian 450 GC equipped with flame ionization detector. VF-1ms capillary column (30 m x 0.33 mm x 0.25 um) were used for separation of its compounds. The chemical profile of tinctures were compared with essential oil of the same rosemary samples by using Clevenger apparatus, recommended by Pharmacopoeia. The profile of oil tincture was: Camphor \u3e Cineol \u3e alpha-Pinene \u3e Verbenone while the profile of alcoholic tincture was: Cineole \u3e alpha-Pinene \u3e beta-Pinene \u3e Camphour. The profiles of both tinctures contain the main compounds found in the essential oil of Rosmarinus officinalis but the use of oil and ethanol makes them selective solvents for some individuals: oil for Camphor and Ethanol for Cineole. Chemical profile of tinctures may be of interest in terms of the active compounds they contain
A New Electrochemical Sensor for determination of Vitamin B6
No full textA new electrochemical sensor for determination of Vitamin B6 was designed using carbon paste electrodes modified with several metallophthalocyanines such as FePc, NiPc, CoPc, and CuPc. The modification of the electrode with iron phtalocyanine showed the highest electrocatalytic activity towards Vitamin B6 determination. Cyclic voltammetry was employed to investigate the electrochemical behavior of the analyte, while differential pulse voltammetry was used for sensitive quantitative experiments with all optimized experimental parameters. Vitamin B6 exhibited a clear oxidation peak at around +1.0 V vs. Ag/AgCl using BrittonRobinson buffer solution. The sensor showed a linear concentration range of 5–100 mM with a detection limit of 2.82 mM and demonstrated reliable repeatability and reproducibility. This method offers a cost-effective, and robust tool for vitamin B6 analysis in various samples including pharmaceuticals
Integrating Fuzzy Graphs for Enhanced Real Estate Investment Decision-Making
No full textThis study pioneers a fuzzy graph framework to navigate the complex uncertainties of real estate investment in Prishtina, Kosovo—a rapidly urbanizing emerging market grappling with data scarcity, volatile valuations, and post-conflict urban dynamics. Through qualitative engagement with local developers, appraisers, and investors, we conduct in-depth interviews and participatory workshops to map Kosovo-specific relational networks, including informal settlements, infrastructure gaps, and behavioral biases like herding in commercial zones. Ethnographic observation of decision-making processes further grounds the model in local realities. Expected outcomes include revealing hidden interdependencies (e.g., how land values intertwine with cultural perceptions of neighborhood prestige) and co-creating a contextsensitive decision prototype. Originality stems from uniquely adapting fuzzy graphs to Kosovo’s behavioral-geographic landscape, transforming subjective expert judgments into structured pathways while theorizing urban uncertainty in post-conflict cities
Do Environmental Practices Enhance Productivity? A Micro Level Analysis of Emerging Economies
No full textThe relationship between environmental practices and economic performance has long been debated, with contrasting views on how such measures affect firm outcomes. While most existing research focuses on advanced economies and energy-intensive sectors, evidence for emerging economies remains limited. This study addresses that gap by investigating the relationship between green management practices and labour productivity using firm-level data from 27 emerging economies. Employing an instrumental variable (IV) approach to account for potential endogeneity, the analysis finds a positive association between green management measures and productivity. The presence of a manager dedicated to environmental or climate issues exerts the strongest effect, followed by the adoption of environmental objectives. Setting energy or CO₂ targets also has a positive, though less robust, relationship with productivity. These findings provide useful insights for policies aiming to enhance both environmental sustainability and firm outcomes in emerging economies
An Analysis of Economic Growth and Happiness in the Western Balkans
No full textThis research addresses the critical dynamics between economic growth, and happiness within the context of the Western Balkans. While regional policy has long focused on GDP growth, this study investigates whether economic progress from 2007 to 2024 has translated into improved happiness for its citizens. Using a quantitative methodology, the study analyzes the interaction between macroeconomic indicators and happiness indices, drawing on comprehensive data from the World Happiness Report, the OECD, The World Bank, and Human Development reports. The study pursues four primary objectives: 1) to examine the relationship between GDP and happiness and determine if the Easterlin paradox holds in the Western Balkans; 2) to assess the impact of institutional factors on economic development; 3) to investigate the role of social factors in promoting economic growth. Framed by insights from the OECD Well-Being Framework and the Human Development Index (HDI), and supplemented by data from the Gallup Happiness Report, this analysis aims to shed light on the profound implications of welfare economics on development policy. The findings are intended to offer evidence-based guidance for policymakers, advocating for a more holistic approach that integrates well-being metrics into economic strategies to foster sustainable and meaningful growth in the region
The Role of Organizational Culture and Management Strategies in Sales Employee Performance
No full textIn today’s highly competitive economic environment, organizations encounter increasing challenges in managing human resources and sustaining high performance, particularly within the sales sector. This study examines the impact of organizational culture and management strategies on sales employees’ performance, aiming to provide a comprehensive understanding of the factors that drive motivation, engagement, and professional outcomes. A quantitative research design was employed, utilizing a structured questionnaire that combined closed-ended items with an open-ended question. This methodological approach allowed for the collection of robust statistical data to analyze the relationships between variables, while also capturing employees’ personal perceptions and experiences. The study offers both practical and academic contributions. For practitioners, the results deliver concrete recommendations for improving workplace climate, strengthening employee engagement, and adopting effective management strategies to enhance overall productivity. For scholars, the research enriches the literature by offering an in-depth analysis of the mechanisms underlying performance in the sales sector and by encouraging the development of innovative human resource management practices. By addressing the intersection of organizational culture, management strategy, and employee performance, this research provides valuable insights for leaders, professionals, and academics seeking to advance knowledge and practice in organizational performance improvement
Innovation and Technological Change Management in AI Era
No full textAcademia was announced AI revolution, but did the businesses were prepared to manage changes? The complexity of innovation and technological change management during AI era, was one of the most challenges trends that businesses faced. The change in businesses must be implemented with priority since the team start using AI immediately in their daily business. The main challenges registered in this research are investment, timeline, results, pression, trust, leadership, training and idea sorting
Detection of Breath, Phonation and Cough Sounds Using Sound Feature Vectors and Artificial Neural Networks by Calculating Lung Forced Vital Capacity with Mobile Infrastructures
No full textObjective: In this study, it is aimed to calculate the tidal volume capacity with mobile infrastructures and to determine the O2 and CO2 values from breath, phonation and cough sounds with the help of artificial neural networks using voice feature vectors. In addition, it is aimed to develop a method that will enable computation of forced expiratory volume via mobile devices.
Materials and Methods: Since sound disease diagnosis is basically a classification problem, tidal volume classification is considered as a pattern recognition problem. Our automatic O2 and CO2 classification study as a pattern recognition function includes three subcomponents; Identifying and obtaining features, Feature selection and Classifiers.
Results: In the study, a new dataset created from two different datasets was used; MFCC (Mel Frequency Cepstral Coefficients) Mel frequency kepstral coefficients of each sound in this new dataset were extracted and converted into png format spectrogram graphs. Sounds converted to picture format are classified by Convolutional Neural Networks (CNN), one of the deep learning algorithms in artificial intelligence. As a result, a very high performance has been achieved with the CNN network.
Conclusion: In this study, a system has been developed for the detection of voice-based lung capacity, O2 taken into the vital area and CO2 values exhaled by using artificial intelligence. Each image-converted sound is analyzed using Convolutional Neural Network (CNN), one of the algorithms in deep learning, which is one of the sub-branches of feature extraction and artificial intelligence. For the selection of this algorithm, studies with similar usage areas were taken into consideration; As a result of the inferences obtained from these studies, a path was followed. At the end of the system developed with the CNN network, a success of 99.60% was achieved. This performance shows that the created system works with high success