Periodicals of Engineering and Natural Sciences (PEN - International University of Sarajevo)
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Enhancing creative thinking in future teachers in Kazakhstan through modern intellectual technologies
According to the concept of the “New Kazakhstan” education system, the development of teachers\u27 creative thinking became important. The purpose is to conduct an experimental test of the effectiveness of psychological and pedagogical IT technologies for developing creative thinking. Thus, 60 3rd year students of the Faculty of Pedagogy were involved in the study. The results of the Torrance test showed that the difference between the groups was not statistically significant (p = 0.47). The actual experiment lasted 8 weeks and involved the use of modern IT technologies. The tools for determining creative thinking were formed from the Torrance Test (TTST), Guilford\u27s methodology, and the author\u27s test for determining the level of creativity. The results indicate that the experimental group significantly increased average creativity scores after the training (the increase in TTST was +16.29 points). The increase in the control group was half as much. According to the Guilford methodology, there was a significant improvement in such parameters as fluidity (from 24.5 to 31.2) and flexibility of thinking (from 22.7 to 29.6). The conclusions summarize that the active use of IT technologies in teacher education affects the development of the basic creative abilities of students
Biophilic design in homes: Integrating nature for comfort & well-being
Residential interior design professionals have increasingly recognized biophilic design because it lets them enhance human wellness through nature-inspired elements. A research project investigates how biophilic design principles influence urban residential environments through their effects on mental as well as physical health outcomes of occupants. The main purpose of this investigation evaluates how different biophilic features particularly natural light exposure and indoor plant integration with organic geometries and organic materials influence overall wellness and home comfort. This research explores data through recent studies and case study analysis to achieve its findings. Biophilic design features incorporated into residential units lead to higher occupant satisfaction levels which strengthen by 35% together with better mental well-being levels that increase by 28%. Building indoor vegetation helps people manage stress better by 22 percent and natural light streams improve workplace productivity by 30 percent. The implementation of organic forms together with natural materials results in a 40% increase of perceived comfort for users. Biophilic design positively affects human well-being to such a high extent that it needs wider implementation in residential interior design according to research findings
Analysis of a piezoelectric energy harvester system from footsteps of passersby
Piezoelectric materials can be used in applications designed to handle a wide range of input frequencies and forces to enable energy harvesting. Although several studies have been carried out on piezoelectric energy harvesting systems, this application is still under development. The purpose of this work is to analyze the behavior and the ability to generate electrical energy through the elements in piezoelectric tiles or platforms, specifically, piezoelectric disc elements with a diameter of 27 mm. To do this, a platform of about 130 x 75 cm was designed to capture the footsteps of people and transmit the impact force to sensors to determine the power generation capacity of the piezoelectric elements. Tests were carried out with people weighing between 75 kg and 85 kg and the measurements obtained made possible to identify the behavior of the system and to develop a mathematical model to estimate the energy generated through the platform.The piezoelectric elements used here proved to be fragile despite the different types of shock absorbers used to avoid their rupture. Therefore, it is recommended to delve into the design of protection mecha-nisms to extend the life of piezoelectric elements in energy collection systems
Development prediction algorithm of vehicle travel time based traffic data
This work is based on encouraging a generous and conceivable estimation for modified an algorithm for vehicle travel times on a highway from the eliminated traffic information using set aside camera image groupings. The strategy for the assessment of vehicle travel times relies upon the distinctive verification of traffic state. The vehicle velocities are gotten from acknowledged vehicle positions in two persistent images by working out the distance covered all through elapsed past time doing mollification between the removed traffic flow data and cultivating a plan to unequivocally predict vehicle travel times. Erbil road data base is used to recognize road locales around road segments which are projected into the commended camera imag-es and later distinguished vehicles are assigned to the looking at route segment so instantaneous and current velocities are calculated. All data were effectively processed and visualized using both MATLAB and Py-thon programming language and its libraries
Characterization and analysis of N2 plasma DC glow discharge at different voltage
In this work, the plasma glow discharge characteristics of nitrogen gas will be studied and analyzed at dif-ferent pressures, and we will study the effect of these pressures on the I-V curve, the Panchen curve, the I-P curve, the current-voltage curve, and their effect on the electrical conductivity of the generated plasma. The distance between the glow electrodes was (15.5) cm. The pressures that were used in this work were (0.025, 0.05, 1.5, 5) T. The results indicated that the discharge was operating in the atypical glow region. On the other hand, the discharge current decreased as the gas pressure increased. On the other hand. Also, the con-ductivity decreased in its values with the increase in applied pressure as well as the voltage of the plasma focus. 
The impact of CAD software on the teaching of engineering graphics: a systematic review
Introduction. Incorporating CAD and BIM in the engineering graphics learning environment has revolutionized teaching methods by providing richer visualization, analysis, and collaboration tools. Despite this, there are still big differences in the adoption and ability rates and levels of CAD and BI across regions and institutions.
Methods. For PRISMA, 45 studies were used for comparison from 2020-2024. Studies selected for the review had to meet inclusion criteria about CAD and BIM awareness and competency, challenges, and fit within the engineering education curriculum. The data were combined qualitatively and quantitatively, and the discoveries were classified into major themes.
Results. CAD applications like AutoCAD are more widely adopted in the BIM industry than in BIM applications like Revit, especially in development areas. Challenges to BIM adoption include high costs, lack of policies, and 2D drafting. Countries with developed BIM industries are the most effective and integrate educational curricula, highlighting the importance of industry alignment in promoting CAD and BIM technologies.
Conclusion. This research suggests that frameworks for implementing BIM integration require a uniform set of best practices, more access to information, and demonetization and curriculum development to fill shortcomings. Even with CAD at the core, BIM advances must be looked for following the industry\u27s needs and put into practice. Further research should be directed toward developing ways to overcome and advance the existing technology gaps
Exploring the link between social impacts and psychological drivers of smartphone use: A survey-based analysis among Ajman University students
The study aimed to identify the extent of youth preference for smartphone platforms, the psychological motives for their use, the negative effects of their use, and the relationship between psychological motives and negative social influences. The descriptive approach and field survey methods were used to collect data from a sample of 297 male and female students at Ajman University. The study found that Instagram was the most-followed platform, with a follow-up rate of 39.7, followed by WhatsApp, Facebook, and, finally, YouTube. The motivation to get rid of boredom ranked first, with an arithmetic mean of 3.49 and a standard deviation of 1.10, while the motivation to get rid of depression ranked last, with an arithmetic mean of 2.49 and a standard deviation of 1.10. The results on differences in the adverse social effects of smartphone use showed that Instagram and Facebook followers were more likely than YouTube followers to experience these effects. The study also found a positive, statistically significant correlation between psychological motivations for smartphone use and negative social influences. The study recommended enabling heads of households and counselors to control the times and types of viewing for children and youth, developing awareness-raising plans and programs, and deepening research into ways to confront the harmful negative social influences resulting from excessive use of smartphones, programs, and applications
Transformation of teaching strategies in higher education in the context of the development of artificial intelligence
The work examines the transformation of teaching strategies in post-secondary education and the background of the growth of artificial intelligence (AI). The purpose of the study is to review how AI technologies influence educational approaches and to identify efficient strategies for their integration into university teaching. A qualitative research method, namely case study, was applied, including literature analysis of Ukrainian and international scientists and case studies of AI implementation in educational modes. The main selection criteria were professional teaching experience and AI usage. Purposive sampling was applied to recruit participants who met these criteria. This study has focused on the perspective of educators, but more research is needed on the student side. Future studies should explore how students use AI in their learning and how it affects their critical thinking and academic performance. The goal is to explore personal experiences and views. The findings of the study reveal a significant shift towards individualized learning, adaptive assessment, and increased use of AI teaching strategies. The research concludes that successful integration of AI demands not only technological preparedness, but also pedagogical innovation and educational suppor
Modulated (spinodal) alloys: Fehim Findik
In this work, after defining spinodal reactions experimental investigation on spinodal decomposition are overviewed for the last five decades. Also, future developments in spinodal decomposition for modulated alloys are forecasted and criticized in an outlook
Comparison of lean cellular manufacturing organization models: Multiple case study analysis
Cellular manufacturing represents a production system arrangement in which machines, tools, workers, and devices are grouped to produce a single product or a group of products with similar production requirements. By implementing cellular manufacturing, it is possible to significantly influence the elimination of the seven types of Lean waste: transport, inventory, unnecessary motion, waiting, overproduction, overprocessing, and defects. There are various models of a cellular manufacturing organization, and some of the most widely used and studied include the Toyota Sewing System, Bucket Brigades, Working Balance, and Rabbit Chase. This paper aims to present different types of lean cellular manufacturing organizations. By reviewing the literature, the advantages and disadvantages of individual types of cellular manufacturing will be systematized. In the practical part of the paper, the theoretical assumptions will be confirmed, and the impact and robustness of individual types of cellular manufacturing will be explored in different situations. Simulations were performed in real conditions on real products to demonstrate the efficiency of individual types of cellular manufacturing organizations depending on the duration of technological operations. The goal was also to examine the robustness of individual types of cellular organization in case of the absence of certain operators or insufficiently trained operators. The criteria used to compare different cellular models were productivity, non-conformance, WIP inventory, time to deliver the first correct piece, and flow time. Simulations were performed for the Toyota Sewing System, Bucket Brigade, Working Balance, and Rabbit Chase cellular manufacturing concepts. The simulation results indicate significant differences in the performance of individual concepts, where the difference in some criteria can reach up to 100%.