Periodicals of Engineering and Natural Sciences (PEN - International University of Sarajevo)
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    1290 research outputs found

    Endowing revenue from cryptocurrency investment funds: A contemporary analytical study

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    Contemporary financial engineering has multiplied in our time, particularly in financial matters. The topic of cryptocurrencies is one of the complex and unfamiliar subjects for some, to the extent that some scholars have refrained from providing a juristic classification (expressing a definitive opinion on the matter) due to the lack of clarity regarding its rulings and legal framework. This issue is hypothetical and has a future perspective, as it has not yet been implemented in reality. However, it is a plausible scenario, especially with global stock exchanges beginning to invest in cryptocurrency and establishing investment funds for this purpose. Consequently, it has become a part of risk distribution and investment diversification strategies among major investors. One of the most important results of the research is the permissibility of endowing digital currency investment funds depends on the nature of the currency invested. Dealing with or investing in currency is prohibited if its primary activities are prohibited. Nonetheless, investing in the currency is acceptable if it represents a legitimate project or acts as a store of value similar to Bitcoin

    Investigation of concrete properties using recycled waste concrete aggregate

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    There are several environmental, economic, and energy reasons why RC is gaining popularity around the world. Key environmental problems include the potential for groundwater contamination due to the washing out of fresh concrete brought back from project sites, as well as the loss of natural sources of high-quality aggregate materials. The RC concrete (RCA) impact on the fundamental characteristics of traditional con-crete is investigated besides the effect of different ratio effects of water-cement (w/c). The concrete as crushed rubble obtained from several Iraqi demolition sites and landfills is utilized to examine the properties of (RCA). This work utilized sand as natural, and concrete as crushed from various sources as aggregates around Baghdad city. A total of forty-five concrete mixtures were cast into nine groups. Groups were created to examine the impact of recycled coarse aggregate (CA) quality/content, dosage of cement, and w/c ratio. Strengths of compressing and splitting, and modulus of elastic tests were conducted. The findings demon-strated that the concrete rubble (CR) may be turned into recycled aggregate (RC) and utilized in the concrete manufacturing with qualities adequate for the vast majority of structural concrete applications in Iraq. Fur-thermore, the concrete strength has decreased by 6% to 30%, depending on the proportion of RC utilized to replace natural aggregate and the w/c ratio

    Evaluation of the incidence of optical and physical characteristics on the performance of a Fresnel Linear Collector prototype

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    This article aims to evaluate the optical and thermal behavior of a small Fresnel linear concentrator prototype developed under the appropriate technology paradigm. The system was developed by the Energy, Automation and Control Systems Research Group of the Technological Units of Santander, Colombia for water heating. The study of the device was developed from a series of simulations that took into account the optical and thermal factors of the real system, and a series of alternative scenarios that seek to improve the performance of the device were evaluated. The simulation process was carried out by applying the "TRNSYS" Software in order to study the dynamic behavior of the concentrator and the "Soltrace" Software applying the Monte Carlo Ray Tracing method. The results obtained showed that the improvement scenarios proposed to evaluate the optical characteristics of the primary reflection system do not significantly increase the performance of the device, while the optical characteristics applied to the secondary reflection system do reflect a significant in-crease. Finally, the variation of flow and the area of the preheater show a direct relationship in performance, reaching values that predict the ideal value of the operating variable

    Artificial extension for a canine with partial forelimb amputation

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    When a canine presents a serious case of disease, injury or necrosis, it is imperative to perform an amputation procedure, whatever the affected limb is, since it can minimize the risk of developing pathologies related to tissues, joints and spine, associated with an altered gait and/or unequal distribution of forces in their limbs. Thus, improvement alternatives arise such as prostheses which help to improve the quality of life of canines. The article proposes the development of a functional prototype of prosthesis for canines with partial forelimb amputation through the design and 3D modeling of the prosthesis, together with the selection of the material that adapts to the morphological conditions of the canine. Also, a cushioning system is incorporated to minimize the force of the impact with the ground when performing activities such as jumping, running or walking. Finally, the electronic component is included in the design and the respective electronic and biomechanical tests are carried out to verify its correct operation

    Methods of implementing mobile learning applications in the training of future computer science teachers

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    The need for effective pedagogical design, seamless implementation and technical infrastructure poses a problem regarding the integration of mobile applications in the training of teachers in computer science; this has created a significant gap that requires investigation. Consequently, the study explores the methods of implementing mobile learning applications to train future computer science teachers. Three research questions guided the study. The study adopted a pretest-posttest research design consisting of the experimental and control groups. The study respondents were 100 students from L.N. Gumilyov Eurasian National University. Pretest and posttest instruments, observation protocols and surveys were used in the study. Descriptive and inferential statistics were used for data analysis. The study\u27s findings revealed a significant difference in students\u27 academic performance in the experimental group compared to those in the control group. The study\u27s findings also revealed that learners\u27 attitudes towards using mobile applications in learning are positive. It was recommended among others that Educators should carefully select and implement mobile applications that align with the students\u27 learning objectives to enhance student learning. Suggestions were also made for further studies

    Online educational platforms as a tool for increasing the accessibility of higher education

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    The study examines the role of online educational platforms in enhancing access to higher education, as well as the benefits and challenges they present in Kazakhstan. The study employed a mixed-methods approach design (systematic literature review and a quantitative survey). A sample of 20 literature materials and 20 undergraduate students was carefully chosen using the purposive sampling procedure. Data were collected using multiple studies and an online survey. Synthesis method and descriptive statistics were used to analyze the data. The results show that the advantages of online learning platforms include increased motivation and involvement, flexibility, autonomous learning, equal access to education, instructional innovation, and enhanced engagement. However, there are limitations, such as a deficiency of engagement, social and rural disparities, and the absence of institutional technical assistance. The results also showed that e-learning improves academic access and success for both regions, but to a greater extent for urban students (mean = 4.42) than for rural students (mean = 4.16). The perceived barriers for urban students include poor internet connectivity, financial constraints, and language barriers, while rural students perceive barriers such as language, limited access to devices, and inadequate technological infrastructure. The study concluded that online learning platforms enhance access to higher education in Kazakhstan.

    Using artificial intelligence in the process of forming a teacher\u27s deviantological competences

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    The study examined the use of artificial intelligence (AI) to form teachers\u27 deviantological competence. The primary objective of the study is to determine the effectiveness of the competency-based approach in preparing teachers for interaction with children with deviant behavior. The study adopted a mixed-methods research design. The purposive sampling technique was used to sample 100 educators from two different schools. It was an experimental study; 50 teachers in the experimental group participated in the training program while 50 teachers in the control group received no additional training.  The six-week program consisted of training, simulations, cases, mentoring, and the use of AI platforms (simulators, chatbots, adaptive systems, behavioral analytics tools, and gaming services). Data were collected using questionnaires, tests, and competency scales. Analysis of the results (t-test, MANOVA, correlation and regression analysis) revealed a significant increase in the level of professional readiness of teachers in the experimental group in the areas of knowledge, skills, and practices (p < 0.05), while changes in attitudes were insignificant. The program effectively improved teachers\u27 readiness levels. Teachers demonstrated improved skills for addressing deviant behaviors, creating a supportive learning environment, and developing empathy. The study, therefore, provides experimental evidence that shows the effectiveness of a competency-based approach in preparing teachers for interaction with children with deviant behaviors

    Influence of heat treatments on the fatigue strength performance of low carbon steels

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    In this research work, the behavior of low-carbon steels is studied, taking as a reference the AISI SAE 1020 steel and the influence of heat treatments on fatigue resistance performance. Fatigue tests were performed under rotary bending conditions on Moore\u27s machine, where 24 samples calibrated to a half-inch diameter were broken. The specimens were machined in accordance with the ASTM E-606 standard, which were classified into three groups with special characteristics, of 8 samples each, where the first group is composed of specimens without heat treatment, the second group are specimens with quenching and the last group of specimens with quetching and tempering; in the same way, 4 different weights were used, taking into account that the specimens were in the finite life zone with high cycling, and with this data the Wholer S-N curve was constructed. The curves construction of agreement to the data thrown in the tests concluded that the specimens with tempering treatment weaken the material compared to those that   have   tempering   treatment   since   this   improves   the property when applying large loads and when it approaches A finite life tends to behave like a material without treatment

    Photocatalytic degradation of organic pollutants in water: Application of TiO2-based nanocomposites

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    Organic pollutants represent a major environmental and human health concern due to water pollution. Addressing water pollution through sustainable and eco-friendly technologies is crucial for environmental preservation and public health. In this study, TiO₂-based nanocomposites\u27 photocatalytic performance is studied for the degeneration of methylene blue (MB), phenol, and rhodamine B (RhB) to overcome the drawbacks of conventional water treatment methods. Methods of doping and co-catalyst enhancement of Titanium Dioxide (TiO₂)- based nanocomposites enhanced photocatalytic efficiency. X-ray diffraction (XRD), Scanning Electron Microscopy (SEM), and Ultraviolet-Visible Spectroscopy (UV-Vis) results were employed to distinguish the composites. Pollutant solution degradation was evaluated using photocatalytic degradation under UV and visible light, with degradation efficiencies evaluated over multiple cycles. The photocatalytic degradation of MB (88.7%), RhB (85.4%), and phenol (83.2%) were much higher for TiO₂-X composites than pristine TiO₂ and other doped TiO₂ variants. Kinetic analysis based on the Langmuir Hinshelwood model revealed an optimal rate constant of 0.015 min⁻¹ (R² = 0.98) for MB and RhB degradation, which was consistent with adsorption-limited reactions. The composites showed excellent stability and reusability, with over 85% of the initial catalytic activity being retained after five cycles. Enhanced photocatalytic performance for degradation of organic pollutants was achieved with TiO₂ based nanocomposites, providing a sustainable solution to water treatment. Future work will be towards optimizing synthesis methods as well as improving the photocatalytic activity under real-world conditions such as exposure to natural sunlight. TiO₂-based nanocomposites represent a sustainable solution for water treatment, offering high efficiency, long-term stability, and eco-friendly remediation of persistent organic pollutants

    The use of blockchain technology for managing digital assets in marketing management

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    This study explores blockchain technologies\u27 contemporary and promising phenomenon, among the most effective and operational digital assets in marketing management. Using data from global industry giants such as Coca-Cola, H&M, and Nike, it demonstrates how blockchain technologies are employed to manage digital assets (e.g., customer data, advertising campaigns, and software) within marketing management. The study compares the effectiveness of solutions before and after blockchain implementation and identifies key success factors, challenges, and drawbacks. Blockchain technology is one of the most reliable data transmission and storage methods. It enables recording time, date, and individual or company details in distinct blocks sequentially linked into a continuous chain. This system employs a highly complex mathematical and technical mechanism, which ensures a high level of security for users while allowing precise tracking and verification of all transactions. Blockchain technologies are crucial in enhancing transparency in advertising campaigns and marketing management. These technologies provide a reliable and immutable digital record of every transaction and data modification within the advertising sector. All actions, such as ad placements, impressions, and clicks, are recorded on the blockchain and remain accessible to all system participants. This transparency allows advertisers, publishers, and marketing agencies to track each stage of their campaigns effortlessly. The transparency blockchain ensures helps combat fraud – one of the most significant challenges in the advertising industry. All participants can review the history of data modifications and verify their authenticity, thereby reducing risks for advertisers and increasing trust in advertising platforms. Furthermore, blockchain improves verification and user identification processes, reducing the number of fraudulent views and unwanted clicks. As a result, advertising campaigns become more effective and transparent, benefiting both advertisers and end consumers

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    Periodicals of Engineering and Natural Sciences (PEN - International University of Sarajevo)
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