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UNDERSTANDING EMPLOYEE BURNOUT: CAUSES, CONSEQUENCES, AND PREVENTION STRATEGIES Aung Myint; Nandar Hlaing; Kiran Pradhan
Research Psychologie, Orientation et Conseil Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rpoc.v3i2.3743

Abstract

Employee burnout has become a significant concern for organizations worldwide, affecting both individual well-being and organizational productivity. Characterized by emotional exhaustion, depersonalization, and reduced personal accomplishment, burnout can lead to severe consequences such as increased absenteeism, decreased performance, and higher turnover rates. This study aims to examine the causes, consequences, and prevention strategies of employee burnout. The research explores the psychological, organizational, and environmental factors that contribute to burnout and investigates the impact of burnout on employee well-being and organizational outcomes. A mixed-methods approach was employed, combining quantitative surveys and qualitative interviews. Data were collected from 300 employees across various industries, using established scales to measure burnout, job satisfaction, and organizational commitment. The qualitative interviews provided deeper insights into personal experiences and the workplace factors contributing to burnout. The findings revealed that work overload, lack of control, and insufficient support were the primary causes of burnout. Burnout was found to significantly affect employee well-being, leading to increased stress, anxiety, and decreased job satisfaction. Prevention strategies, such as workload management and organizational support, were identified as effective in reducing burnout.
Quantum Computing to Design New More Effective Drugs Aung Myint; Nandar Hlaing; Zaw Min Oo
Journal of Tecnologia Quantica Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i5.1698

Abstract

The development of quantum computing provides great opportunities in various fields, one of which is in drug design. This technology offers a way to model molecular interactions more accurately and efficiently compared to conventional methods. This research aims to explore the potential of quantum computing in designing new drugs that are more effective by accelerating and improving precision in molecular simulations. This study aims to identify and evaluate the ability of quantum computing to design more effective drug compounds, as well as to understand how quantum simulation can improve the efficiency of the drug development process. The research method used is quantum simulation to analyze the interaction between compounds and biological targets. The selected compounds were analyzed using quantum algorithms to calculate bond energy and molecular stability. The results of the simulation are then compared with conventional drug design methods. The results show that quantum computing can model molecular interactions with more precision and efficiency. Compounds selected using quantum methods showed higher effectiveness, with stronger binding energies and more stable biological interactions compared to drug designs using classical methods. Quantum computing shows great potential in the design of new, more effective drugs. Although technical challenges still exist, especially in terms of hardware and algorithms, this research shows that these technologies can speed up and improve the drug design process. Further research is needed to overcome these limitations and optimize the application of quantum computing in the pharmaceutical field.
DEVELOPMENT OF A RECOMBINANT VACCINE TO PREVENT INFLUENZA VIRUS INFECTION Loso Judijanto; Aung Myint; Nandar Hlaing; Muntasir Muntasir
Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v2i2.2025

Abstract

Influenza virus remains a significant global health challenge, causing seasonal epidemics and potential pandemics with high morbidity and mortality rates. This study aims to develop a recombinant vaccine as a safer and more effective alternative to traditional influenza vaccines, which often suffer from limited efficacy and lengthy production timelines. Utilizing a recombinant DNA technology approach, this research employed the baculovirus expression system to produce hemagglutinin (HA) antigens derived from the influenza A virus. Experimental methods included antigen purification, immunogenicity assays in murine models, and neutralizing antibody titration. Results revealed that the recombinant HA vaccine elicited a robust immune response, with a significant increase in hemagglutination inhibition titers compared to control groups. Furthermore, the vaccinated subjects exhibited substantial protection against viral challenge, evidenced by reduced viral load and minimized lung pathology. The findings suggest that recombinant vaccine platforms offer promising avenues for rapid and scalable vaccine development. This study underscores the potential of recombinant influenza vaccines in mitigating future influenza outbreaks with improved safety, efficacy, and production agility.
The Quantified Self and Digital Piety: Analyzing Islamic Prayer Apps, Datafication, and their Impact on Daily Worship Nandar Hlaing; Aung Myint; Murat Arslan
Islamic Studies in the World Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/isw.v3i1.2699

Abstract

The widespread adoption of Islamic prayer applications has introduced new forms of digital piety in which acts of worship become increasingly structured, quantified, and mediated through mobile technologies. The rise of these apps reflects broader cultural shifts toward datafication, self-tracking, and algorithmically guided religious practice. While prayer apps offer convenience, reminders, and personalized worship analytics, concerns have emerged regarding overreliance on digital tools, potential erosion of spiritual intentionality, and the implications of data extraction for user privacy. These dynamics highlight the need to critically examine how quantified self technologies shape Muslim devotional life. This study aims to analyze the influence of Islamic prayer apps on daily worship by investigating how datafication, algorithmic nudges, and quantified worship metrics affect users’ spiritual habits and perceptions of religious discipline. The research seeks to explore both the empowering and constraining effects of digital piety on contemporary Muslim practice. A mixed-methods approach was employed, combining a quantitative survey of 268 Muslim prayer app users with qualitative interviews involving twenty participants who regularly engage with worship-tracking features. Document analysis of popular prayer apps was also conducted to examine interface design, tracking mechanisms, and data-collection practices. Findings reveal that prayer apps significantly increase worship consistency, particularly in maintaining prayer schedules and tracking missed prayers. However, the quantification of worship introduces psychological dependence on reminders and metrics, shifting spiritual motivation from intrinsic intentionality to external digital cues. The study concludes that while prayer apps enhance ritual discipline, they also reshape devotional experiences through datafication, necessitating ethical reflection on privacy, autonomy, and the meaning of worship in a digital age.