Implementation Of System Research Articles

Navigating Uncharted Territory: A Qualitative Analysis of Challenges and Advantages Experienced by Early Career Medical Educators

AbstractWith the growing demand for medical educators, it is increasingly important that institutions implement practices to recruit, retain, and promote the well-being of early career medical educators (ECMEs). However, the specific needs of this group remain somewhat unclear. The current study aimed to address this gap by utilizing qualitative analysis to identify challenges and advantages associated with ECME status. An anonymous, voluntary survey was administered on forums of professional societies for medical education and on social media platforms, and emailed to professional societies. The survey collected demographic information and qualitative data regarding ECMEs’ experiences. Data were collected from 39 participants who met the ECME criteria of having less than or equal to 10 years of teaching experience since obtaining a terminal degree. Thematic analysis revealed that the challenges of early career faculty were difficulty balancing responsibilities, lack of research and educational support, perceived inadequacies as a faculty member, and development of workplace friendships. The advantages were the ability to understand students, possessing specific knowledge and skills, and the ability to innovate. ECME professional development needs focused on development of skills, networking, and support. In conclusion, ECMEs encounter similar struggles faced by all medical educators; however, they have the least amount of experience navigating the hurdles of academia. To aid ECMEs, institutions and departments can focus on the implementation of meaningful professional development opportunities, support systems, and encouraging ECMEs’ strengths.

Why anti-corruption projects and programmes fail in some African countries: a case study of an anti-corruption project that drowned in corruption and the lessons learned

Purpose The pandemic of corruption in Africa reflects the more general climate of the lack of both ethical leadership and appropriate anti-corruption systems found throughout most of the continent. The purpose of this study is to examine the manner in which corruption was perpetrated in an anti-corruption project that was intended to produce outcomes to reduce and control said corruption, in a sub-Saharan Africa country, for sustained development outcomes, including progress in meeting the sustainable development goals. Design/methodology/approach Based on a field experience, and drawing on the active participant observation research methodology, buttressed by open-ended interviews, this work provides a qualitative analysis and assessment case study of corruption in the implementation process of the anti-corruption project. Findings It is shown that corruption remains a significant barrier to positive development outcomes, especially in those environments where certain social norms and collectivist behaviour are prominent. In such environments, special systems need to be in place for project implementation success even in cases where a project itself is designed to reduce and control that corruption. Key lessons learned include the imperatives of recruiting qualified and ethical personnel and the importance of country ownership, political will and persistent project monitoring including by the citizen beneficiaries of sustainable development projects. Originality/value The paper’s value is the insights it provides through the mapping of the key lessons learned for successful implementation of projects and systems to control corruption and improve ethical behaviour in Africa and beyond.

Innovation and Sustainability in the Amazon with the Use of Blockchain

Objective: The general objective of this study is to model the implementation of a blockchain system for solid wastemanagement in a government agency. The specific objectives of the results are to identify the main challenges in implementing a blockchain system for solid waste management in Public Management (1); characterize the blockchain models identified in this investigation (2); and develop a blockchain system model for solid waste management in a government agency (3). Theoretical Framework: The Theory of New Public Management, discussed in Madan and Ashok (2022), is the basis of this study, considering the notes of these authors, who address the dominant paradigm in public administration. Method: This research has a qualitative or mixed approach, as it includes parametric elements based on architecture such as blockchain, supported by bibliographical research and documentary analysis. The bibliographical research was based on elements of an integrated solid waste management system, through a framework, as conceptualized in the specific topic of this study. The Content Analysis method was used to research documents and other textual or audiovisual databases on solid waste management and blockchain technology. This research method allowed us to extract relevant information from the data collected, organize it into thematic categories, and interpret it in light of the theoretical framework obtained. By applying Content Analysis, patterns, meanings, and nuances were identified that could enrich the understanding of the phenomenon studied, ensuring an in-depth and contextualized analysis. Results and Discussion: The scenario of research on solid waste management in Brazil is marked by significantchallenges that reflect the complexity of the country's socioeconomic and environmental context. According to Agência Brasil (2023), the generation of solid waste has increased alarmingly, with data from 2021 indicating that more than 80 million tons were produced, of which only 32.5% were correctly disposed of. Thisreality highlights the urgent need for effective and innovative public policies that address integrated waste management. Research Implications: The relevance of implementing a blockchain system in public governance is highlighted, considering the growing demand for innovative and sustainable solutions. Originality/Value: This study is of interest to government managers, academics involved in applied research onblockchain in waste management, politicians and other leaders committed to excellence in management, and other professionals committed to promising results in the relationship between innovation and sustainability in organizations.

Impact of pandemic-driven online education on student evaluation scores: A comparative study in natural sciences

ABSTRACT The COVID-19 pandemic necessitated the adoption of online systems by educational institutions for infection control. The widespread implementation of online systems presented an opportunity to assess the impact of online education. However, research into the perceptions of students who directly experienced these changes remained relatively underexplored. This study conducted a comparative analysis of student evaluation of teaching scores (SET) before and after the pandemic to examine the impact of accelerated online system adoption on student satisfaction. This study employed a quantitative research design, utilising Ordinary Least Squares regression for the analysis. The analysis utilised SET data from 49,201 students enrolled in the College of Natural Sciences of a top-ranking university in South Korea from 2018 to 2020. The results showed that theory courses that emphasised information delivery demonstrated minimal changes in evaluation scores. By contrast, laboratory courses requiring direct student engagement and controlled environments demonstrated decreased scores. Notably, mathematics, with a conducive online learning environment for laboratory courses, exhibited improved post-pandemic evaluations. Furthermore, the student evaluation of teaching scores decreased in chemistry classes that require restricted laboratory settings. These findings highlight the importance of considering instructional characteristics when integrating modern technologies into educational systems to effectively replace traditional lectures.

Design and FPGA Implementation of a Hyper-Chaotic System for Real-time Secure Image Transmission

Recently, chaos theory has been widely used in multimedia and digital communications due to its unique properties that can enhance security, data compression, and signal processing. It plays a significant role in securing digital images and protecting sensitive visual information from unauthorized access, tampering, and interception. In this regard, chaotic signals are used in image encryption to empower the security; that's because chaotic systems are characterized by their sensitivity to initial conditions, and their unpredictable and seemingly random behavior. In particular, hyper-chaotic systems involve multiple chaotic systems interacting with each other. These systems can introduce more randomness and complexity, leading to stronger encryption techniques. In this paper, Hyper-chaotic Lorenz system is considered to design robust image encryption/ decryption system based on master-slave synchronization. Firstly, the rich dynamic characteristics of this system is studied using analytical and numerical nonlinear analysis tools. Next, the image secure system has been implemented through Field-Programmable Gate Arrays (FPGAs) Zedboard Zynq xc7z020-1clg484 to verify the image encryption/decryption directly on programmable hardware Kit. Numerical simulations, hardware implementation, and cryptanalysis tools are conducted to validate the effectiveness and robustness of the proposed system.

Technical and Economic Analyses for the Implementation of a Biohydrogen Production System Using Bioelectricity from Vinasse Biogas of the Sugarcane and Alcohol Industry

This paper studies the implementation of a system consisting of an electrolyzer connected to a bioelectricity generator set that operates using vinasse biogas. Data on total ethanol production across all regions of Brazil were collected, and two ethanol plants in São Paulo state were selected for analysis (São Jose da Estiva and São Manoel). The feasibility of implementing this system at these facilities was evaluated using energy analysis for biohydrogen production. The process’s energy efficiency was assessed, allowing for the construction of a Sankey Diagram for both plants. Additionally, the costs of producing bioelectricity and biohydrogen via electrolysis using vinasse biogas from Brazil’s sugar/alcohol industry were determined, factoring in the payback period, equivalent utilization period, and annual interest rate. The study demonstrates the efficiency and cost-effectiveness of producing biohydrogen using vinasse biogas. The cost of producing bioelectricity at the two plants decreases significantly over the 25-year system implementation period, starting at around 0.159–0.197 USD/kWh in the first year and dropping to a minimum of 0.027–0.039 USD/kWh by the end of the period. The initial cost of producing biohydrogen ranges from 1.154 to 1.236 USD/kWh at São Jose da Estiva and from 1.491 to 1.597 USD/kWh at São Manoel in the first year. However, prices drop by nearly half in the second year, reaching 0.630 to 0.693 USD/kWh at São Jose da Estiva and 0.808 to 0.891 USD/kWh at São Manoel. The payback period for the biohydrogen and bioelectricity production system increases, with São Jose da Estiva generating income by year 5 at a 4% interest rate and by year 8 at a 12% rate. For São Manoel, income is expected by year 8 at a 4% interest rate and by year 16 at a 12% rate. Both plants recover their investment within the first 10 years of operation. By the final year, São Jose da Estiva’s income is projected to be between 363,262.20 and 678,129.46 USD/kWh, while São Manoel’s income is expected to range from 85,765.59 to 433,347.70 USD/kWh, demonstrating that the system is viable for sugar and ethanol plants.

Urban drainage network simulation using EPA SWMM for SuDS measures planning: a case study in Brazil

This paper investigates the implementation of sustainable drainage systems (SuDS) measures in a small urban catchment as runoff peak flow and total runoff volume control. The study area was calibrated for the pre-occupation scenario and, subsequently, a post-occupation scenario was proposed. Three structural measures were then tested: infiltration trench, rainwater harvesting, and a detention basin. The modelling was performed using the EPA SWMM. The simulation results showed that there was an increase of more than 115% of the total runoff volume in the post-occupation scenario. The results confirm that these structural measures can contribute to the reduction of peak flows in developing areas. Combinations of measures were more efficient in controlling runoff than isolated measures. To avoid using end-of-pipe solutions, a combination of infiltration trenches and lot scale rainwater tanks measures should be considered. The methodology can be used to test various combinations of structural measures.

Analysis of Accounting Information System on the Operational Implementation of Sales of Services and Insurance Claims at PT Asuransi Jiwa Manulife Indonesia

This study was made with the aim of finding out the accounting information system in the operational implementation of service sales and insurance claims at PT Asuransi Jiwa Manulife Indonesia. The research method chosen is a type of qualitative research using an approach and described descriptively. The resource persons obtained from several parties were branch administration employees, one of the customers and branch leaders by collecting data through interviews and observations. The problems with PT Asuransi Jiwa Manulife Indonesia are that server services on the website often have errors when uploading documents so that they can hinder operations, too many applications are used so that they cannot be integrated properly, the understanding of insurance products in agents is still low, the recording of accounting information systems is manual so that it is prone to errors when entering report data, Many customers complained about the claim fund disbursement process which took a long time. Based on this problem, the author provides a solution for the company to collaborate with the IT team to create an application or website that becomes a unit so that it can be easily accessed by customers and all agents at PT Asuransi Jiwa Manulife Indonesia.

The Impact of Accounting Information System Implementation on the Quality of Financial Report Results of the Department of Education, Youth and Sports of Buleleng Regency

The Quality of Regional Government Financial Reports is an assessment related to the level of conformity of reporting in regional financial management for each budget period. The quality of Regional Government Financial Reports can be seen from the opinion submitted by the Financial Supervisory Agency as the party that examines and assesses the Regional Government Financial Reports. This study aims to test the influence of the Regional Financial Accounting System and human resource competence on the quality of Regional Government Financial Reports. This study includes quantitative research. The sample in this study were employees at the Education, Youth, and Sports Office according to the criteria. The results of this study are that the Regional Financial Accounting System affects the quality of Regional Government Financial Reports.

The dilemma between innovation and authenticity in safeguarding intangible cultural heritage: Community agency in preserving Suzhou pingtan

In safeguarding an intangible cultural heritage (ICH), the community is often considered passive and only part of the policy implementation system. While acknowledging the lack of a connection with contemporary audiences in many examples of ICH, such as pingtan (评弹), authenticity-seeking is still a widely accepted goal in safeguarding ICH. But from an authenticity-seeking perspective, attempts to create innovative pingtan are often the target of criticism. This article observes that amid the competing narratives of pursuing authenticity and embracing innovative experimentation, preservation of and innovation in pingtan have developed to disentangle pingtan from a unified conceptualization. Conflicts about preservation and innovation are the enabling forces that allow diverse cultural ideas to be communicated, leading to interactions and experimentation that defy easy definition. Analysis of the contradictions behind an insistence on an authentic form of pingtan suggests that authenticity-seeking is more about cultural anxieties over the changing identity of a city, with pingtan as a tool for such negotiations. This article calls for a more nuanced understanding of community agency in safeguarding ICH. Innovative practices to safeguard ICH may also challenge the concept of community, resulting in fluid, developmental, and mutually sustaining interactions.

Formation of Motivation of Youth Students to Engage in Physical Culture and Sports in Institutions of General Secondary Education (Example of Implementation of the Modular System)

The article updates the issue of the involvement of children and school youth in physical education and sports through the formation of personally meaningful motivation. The importance of increasing the motivation of students to engage in physical education and sports through the differentiation of the content of physical education lessons, taking into account the interests of students, is theoretically substantiated using the example of the implementation of the modular system presented in the Model Curriculum «Physical Education. 5-9 grades». It was determined that motivation for physical education is a complex multi-vector phenomenon that requires appropriate selection of approaches to work with school youth and depends on many factors, in particular, on well-chosen and optimally balanced general and differentiated means, forms, and methods. It has been proven that content differentiation through variable modules can serve as a meaningful and positive lever for inclusion and interest of students in physical education lessons. It is substantiated that the implementation of a modular system in lessons has a number of advantages for increasing the motivation of young students to engage in physical education through the structuring and productivity of the educational process, the dynamism and transformation of the content of physical education lessons, the variability of means, methods, and teaching methods; possibilities of quick adaptation, mobility; ensuring an individual approach to learning; personalization and differentiation of the content of physical education lessons; establishment of active, dialogic, subject-subject interaction "teacher - student" when choosing teaching aids; the flexibility of designing the educational process when choosing modules that correspond to the interests of students, the goals and objectives of education.

Implementation of Automatic Attendance System Based on Face Recognition Using CNN Method in IPB University Vocational School Environment

The research focuses on creating an automated attendance system using face recognition through the Convolutional Neural Network (CNN) approach at IPB University's Vocational School. The current manual attendance methods show limitations, such as potential inaccuracies in recording and the risk of cheating, like attendance proxies. To overcome these challenges, this study applies the CNN approach with Python and OpenCV, enabling automatic face detection and recognition for students. The system accurately logs attendance by identifying faces in real time. Testing indicates that the system records attendance reliably, whether with a single individual or with multiple faces present within a single frame.

Assessment of Waterlogging and Mitigation Strategies for Alanda Micro Watershed Using Remote Sensing in Akola District of Vidarbha Region, India

The socio-economic progress of Vidarbha, where 89% of the land is used for rainfed farming, is significantly influenced by water resources. Unfortunately, waterlogging, driven by insufficient drainage and erratic weather conditions, poses serious challenges to agricultural productivity and soil health. The Alanda micro watershed in Barshitakli tehsil, Akola district, Vidarbha region of Maharashtra, features hard basaltic terrain and clay soils primarily used for agriculture. Poorly drained soils have caused waterlogging and salinization, highlighting the need for assessment of mitigation measures for the waterlogging to improve agricultural productivity and address climate change impacts. Waterlogging can be effectively identified through remote sensing techniques like NDWI, NDMI and NDVI, using high-resolution Landsat 8 imagery processed in ArcGIS 10.8. These methods facilitate the analysis and management of waterlogged areas, which is critical for improving agricultural output. The NDVI, NDWI and NDMI maps of the Alanda micro watershed highlight vegetation health, moisture levels and waterlogging potential, with the northern regions showing higher moisture and increased waterlogging risk. Mitigating waterlogging in the area requires the implementation of efficient drainage systems, soil improvement through organic matter and deep tillage and precise water management practices, including levelling fields to prevent water accumulation and using drought-resistant crops.

Determinants of Generative AI System Adoption and Usage Behavior in Korean Companies: Applying the UTAUT Model

This study addresses the academic gap in the adoption of generative AI systems by investigating the factors influencing technology acceptance and usage behavior in Korean firms. Although recent advancements in AI are accelerating digital transformation and innovation, empirical research on the adoption of these systems remains scarce. To fill this gap, this study applies the Unified Theory of Acceptance and Use of Technology (UTAUT) model, surveying 300 employees from both large and small enterprises in South Korea. The findings reveal that effort expectancy and social influence significantly influence employees’ behavioral intention to use generative AI systems. Specifically, effort expectancy plays a critical role in the early stages of adoption, while social influence, including support from supervisors and peers, strongly drives the adoption process. In contrast, performance expectancy and facilitating conditions show no significant impact. The study also highlights the differential effects of age and work experience on behavioral intention and usage behavior. For older employees, social support is a key factor in technology acceptance, whereas employees with more experience exhibit a more positive attitude toward adopting new technologies. Conversely, facilitating conditions are more critical for younger employees. This study contributes to the understanding of the interaction between various factors in AI technology adoption and offers strategic insights for the successful implementation of AI systems in Korean companies.

Analog Implementation of a Spiking System for Performing Arithmetic Logic Operations on Mixed‐Signal Neuromorphic Processors

In recent years, physical limitations in the integration of transistors in computers have forced the search for low‐computational‐power alternatives in hardware design. Although doubts may arise regarding the limit of the relationship between performance and power consumption in computers, these disappear when considering the brain, which is one of the most efficient computing systems. In this way, bioinspired applications try to benefit from the low‐power consumption present in the biological nervous system. Previous work has shown the feasibility of implementing spiking neural networks that operate in a Boolean manner on digital platforms, such as SpiNNaker, using basic logic gates and a spiking memory, which suggests the potential for constructing a low‐power consumption spiking computer. This work takes a first step in the implementation of a spiking central processing unit by developing an arithmetic logic unit, which is an essential block for instruction execution, demonstrating its correct operation on Dynap‐SE1. The results confirm the feasibility of using this Boolean approach on this platform, despite certain limitations in the number of inputs and operating frequencies of the blocks, and pave the way for the construction of a spiking computer.

Accountability System, Academic Autonomy, and Freedom of Academia Versus Pathways to Educational Excellence in Hawassa University, Ethiopia

The study examined integrated effects of implementation of accountability system, institutional autonomy, and academic freedom of academia versus pathways to educational (professional, leadership and pedagogical) excellence in Hawassa University. The study answered the central research question: “What do the effects of implementation of accountability, academic autonomy and freedom of academia versus professional, leadership and pedagogical excellences look-like?” The study employed mixed method with concurrent triangulation design. The researchers selected samples of the study using purposive, convenient, stratified, and simple random sampling techniques. The researchers collected data using questionnaires, unstructured interviews, and document examination and analyzed data using descriptive and inferential statistics and thematic narration using SPSS-26 and NVivo-14, respectively. There were multiple gaps pertaining implementing performance-based and professional-based internal accountability to accomplish institutional visions, missions, and mutual goals. The findings of the study showed that although academic autonomy relates to the independence of academic institutions in decision-making concerning curriculum, teaching methods, research, and academic policies, it shows practical gaps concerning teachers’ and students’ academic freedom. This includes challenges related to quality teaching, research, community services, and expression of views to criticize the weakness of institutional censorship. The study recommends that the practice of accountability strategies, technological, and pedagogical innovation toward striving for educational excellences needed improvements. Managerial, technological, and pedagogical innovation should promote decision-making competencies, professional, leadership, and pedagogical excellence.

Effects of pain neuroscience education combined with neuromuscular exercises on pain, functional disability and psychological factors in chronic low back pain: A study protocol for a single-blind randomized controlled trial.

Chronic low back pain (CLBP) is a prevalent health condition worldwide. Several therapeutic interventions aim to improve CLBP. Pain Neuroscience Education (PNE) helps patients better understand their pain from biological and physiological perspectives, which clinicians use to reduce pain and disability in patients with chronic musculoskeletal conditions. Neuromuscular exercises (NMS) are also treatments adopted in CLBP. This study will investigate whether PNE combined with an NMS program improves pain, functional and psychological outcomes more than NMS alone in patients with CLBP. In this single-blind randomized controlled trial, 60 patients (male and female; age range, 30-60 years) diagnosed with CLBP will be randomly assigned to one of the following groups: (1) PNE plus NMS (n = 30; 24 sessions of PNE plus NMS in a total of 8 weeks, 3 each week), and (2) NMS alone (n = 30; 24 sessions of NMS sessions in a total of 8 weeks, 3 each week). Outcome assessors will be blinded to the group allocation. The primary outcome will be pain. Secondary outcomes will be disability, fear-avoidance beliefs about work and physical activity, self-efficacy, exercise anxiety, and kinesiophobia. Outcomes will be assessed at baseline, after 8 weeks of intervention, and 6 months post-intervention. The findings of this RCT will help shed light on new treatment strategies to address the biopsychosocial dimensions of CLBP. The study protocol will be conducted in a clinical setting, offering the opportunity for future implementation in healthcare systems. Moreover, it will help clarify whether a combined treatment (PNE with NMS) is more effective than NMS alone for improving pain, functional and psychological outcomes in CLBP. Study registration: The study was prospectively registered in the Iranian Registry of Clinical Trials-IRCT20190427043384N2 (https://www.irct.ir/trial/69146). Registered on March 17, 2023.

Assessment of Factors Influencing Healthcare Provider’s Acceptance of Electronic Health Record in Jordanian Hospitals

Acceptance of electronic health record systems is considered an essential factor for effective implementation among healthcare providers. In an attempt to understand healthcare providers’ perceptions of electronic health record systems implementation and evaluate the factors influencing healthcare providers’ acceptance of electronic health record systems, the current research examines the effects of individual (user) context factors and organisational context factors using the technology acceptance model. A quantitative cross-sectional survey design was used, in which 319 healthcare providers from five public hospitals participated in the present study. Data were collected using a self-administered questionnaire, which was based on the technology acceptance model. Jordanian healthcare providers demonstrated positive perceptions of the usefulness and ease of use of the electronic health record systems and subsequently accepted the technology. The results indicated that they had a significant effect on the perceived usefulness and perceived ease of use of the electronic health record, which in turn was related to positive attitudes towards the electronic health record systems as well as the intention to use them. User attributes, organisational competency, management support and training and education are essential variables in predicting healthcare providers’ acceptance towards electronic health records. These findings should be considered by healthcare organisations’ administration to introduce an effective system to other healthcare organisations.

INFORMATION SYSTEM OF STREET LIGHTING CONTROL IN A SMART CITY

Context. In the context of the rapid development of technologies and the implementation of the concept of smart cities, smart lighting becomes a key element of a sustainable and efficient urban environment. The research covers the analysis of aspects of the use of sensors, intelligent lighting control systems with the help of modern information technologies, in particular such as the Internet of Things. The use of such technologies makes it possible to automate the regulation of lighting intensity depending on external conditions, the movement of people or the time of a day. This contributes to the efficient use of electricity and the reduction of emissions into the atmosphere. Objective. The purpose of the paper is to analyze the procedures for creating an information system as a tool for monitoring and evaluating the level of illumination in a smart city with the aim of improving energy efficiency, safety, comfort and effective lighting management. The implementation of a smart lighting system for Lviv will help improve energy efficiency and community safety. Method. A content analysis of scientific publications was carried out, in which the results of research on the creation of street lighting monitoring systems in real urban environments were presented. The collection and analysis of data on street lighting in the city, such as energy consumption, illumination level, lamp operation schedules, and others, was carried out. Machine learning methods were used to analyze data and predict lighting needs. Using the UML methodology, the conceptual model of the street lighting monitoring information system was developed based on the identified needs and requirements. Results. The role of data processing technologies in creating effective lighting management strategies for optimal use of resources and meeting the needs of citizens is highlighted. The study draws attention to the challenges and opportunities of implementing smart lighting in cities, maximizing the positive impact of smart lighting on modern urban environments. The peculiarities of the development and use of an information system for controlling street lighting in a smart city are analyzed. The potential advantages and limitations of using the developed system are determined. Conclusions. The project on the creation of an information system designed to provide an energy-efficient lighting system in a smart city will contribute to increasing security, particularly, ensuring the safety of the community through integration with security systems, reducing energy consumption, through minimizing the electricity usage in periods when the need for lighting is not necessary. It has been determined that to implement an information system for remote monitoring and lighting control in a smart city, it is advisable to consider the possibility of using a complex lighting control system. Calculations were made on the example of Lviv for the city’s lighting needs. The use of motion sensors to determine the need to turn on lighting was analyzed. A conceptual model of the information system was developed using the object-oriented methodology of the UML notation. The main functionality of the information system is defined.

Implementation of thermoelectric wall systems for sustainable indoor environment regulation in buildings through numerical and experimental performance analysis

With buildings representing a substantial portion of global energy consumption, exploring alternatives to traditional fossil fuel-based heating and cooling systems is critical. Thermoelectricity offers a promising solution by converting temperature differentials into electrical voltage or vice versa, enabling efficient indoor thermal regulation. This paper presents a comprehensive investigation into the integration of thermoelectric wall systems for sustainable building climate control through numerical simulations and experimental analyses. Numerical simulations using computational fluid dynamics (CFD) techniques were conducted to model fluid flow and heat transfer within the thermoelectric wall systems under various operating conditions. These simulations provided insights into the system’s thermal behavior, which were validated through experimental setups designed to measure temperature differentials, airflow rates, and power consumption. The results showed that power consumption is directly correlated with electrical current, ranging from 0.19 W to 77.4 W as the current increased from 0.1 A to 2 A. Additionally, the heat absorbed by the system increased significantly with electrical current, by 706–1044%, depending on the air velocity. The thermal energy released from the hot side of the thermoelectric modules also rose substantially, ranging from 9850 to 5285% with increasing electrical current, and from 275 to 51% with higher air velocities. Moreover, increasing air velocity led to a 6.78–9.37% reduction in power consumption for currents between 0.1 A and 2 A. The coefficient of performance (COP) analysis revealed that optimizing both electrical current and air velocity is essential for maximizing system efficiency. While fan power consumption reduces COP at higher air velocities, neglecting fan power consumption results in COP improvements ranging from 6.5 × 10⁻⁴ to 49.0%. These findings highlight the potential of thermoelectric wall systems to enhance indoor comfort and energy efficiency in buildings.