Article Per Year (5 Year)
p-Index From 2020 - 2025
1.048
P-Index
This Author published in this journals
All Journal Journal International of Lingua and Technology World Psychology Journal of World Future Medicine, Health and Nursing Journal of Tecnologia Quantica Journal of Biomedical and Techno Nanomaterials
Myint, Aung
Unknown Affiliation
Biochemistry, Genetics & Molecular Biology Education Health Professions Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
Artificial intelligence innovations in genetic technology: DNA-based diagnostics for the future of medicine Htwe, Thandar; Myint, Aung; Muntasir, Muntasir
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i2.1908

Abstract

Advancements in artificial intelligence (AI) are revolutionizing the field of genetic technology, particularly in DNA-based diagnostics, offering promising applications for the future of medicine. The rapid growth of AI in the analysis of genetic data allows for faster, more accurate, and cost-effective diagnostic processes. This study explores the integration of AI innovations in DNA diagnostics and their potential to transform clinical practices. Using a systematic review methodology, this research evaluates the current AI-driven genetic diagnostic technologies, focusing on their impact on disease detection, genetic mutation identification, and personalized treatment strategies. The findings reveal that AI-based tools, such as deep learning and machine learning algorithms, significantly improve the accuracy and speed of genetic diagnoses, particularly in rare genetic disorders and cancers. These technologies are also shown to enhance the predictive power of genetic tests, offering insights into patients' future health risks. The study concludes that AI-driven DNA diagnostics hold the potential to revolutionize medical practice, providing more precise, individualized care while reducing healthcare costs. However, challenges related to data privacy, algorithm transparency, and the need for large-scale clinical validation remain.  
Automatic Identification of Authors’ Writing Style with Computer-Based Stylometry Methods: A Case Study on Indonesian Literary Texts Syamsiah, Nur; Myint, Aung; Lin, Tun
Journal International of Lingua and Technology Vol. 3 No. 3 (2024)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jiltech.v3i3.816

Abstract

The study of authors’ writing styles has long been a significant area of research in literary studies and forensic linguistics. In recent years, the advancement of computational methods has led to the development of automatic stylometry techniques, which can identify and analyze unique features of an author’s writing style. This research aims to apply computer-based stylometry methods to the identification of authors’ writing styles in Indonesian literary texts, a field that has not been extensively explored. By leveraging these methods, the study seeks to explore the potential of automated tools in distinguishing between authors based on their stylistic markers, such as vocabulary choice, sentence structure, and punctuation usage. The research utilizes stylometry techniques, including machine learning algorithms and text mining, to analyze a corpus of Indonesian literary texts. These methods allow for the extraction of distinct stylistic features from the texts, which are then used to classify and differentiate between authors. The results show that machine learning models, particularly those utilizing n-grams and frequency analysis, can accurately distinguish between authors with high precision. The study concludes that computer-based stylometry offers a promising approach for analyzing Indonesian literary texts and can be used effectively in authorship attribution. This method provides valuable insights into the unique stylistic signatures of authors and can aid in the study of literary history and forensic analysis.
The Role of Emotional Intelligence in Improving Early Childhood Social and Academic Skills Arinda, Fita; Oo, Zaw Min; Myint, Aung; Anggreni, Made Ayu
World Psychology Vol. 4 No. 1 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/wp.v4i1.804

Abstract

Emotional intelligence (EI) plays a critical role in early childhood development, influencing social and academic skills. As young children begin to navigate complex social interactions and engage in learning activities, the ability to recognize, understand, and regulate emotions becomes fundamental to their success in school and relationships. Despite its importance, the role of EI in shaping early childhood social and academic outcomes remains underexplored. This study aims to examine the impact of emotional intelligence on the development of social and academic skills in early childhood. A mixed-methods approach was employed, involving a sample of 150 preschool children and their teachers. The study utilized the Emotional Quotient Inventory (EQ-i) for children and teacher reports on social and academic skills. The results demonstrated that higher emotional intelligence scores were significantly associated with better social interactions, peer relationships, and academic performance, particularly in areas of problem-solving and self-regulation. The findings suggest that fostering emotional intelligence in early childhood education programs can enhance both social and academic competencies. The study concludes that EI is a key factor in supporting children’s overall development, providing a foundation for improved social interactions and academic achievement in later years.  
The Influence of Social Media on the Quality of Interpersonal Relationships in Adolescents in Indonesia Budiawan, Budiawan; Myint, Aung; Hlaing, Nandar
World Psychology Vol. 4 No. 1 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/wp.v4i1.805

Abstract

The advent of social media has transformed the way adolescents communicate and interact with one another. While social media provides a platform for social connection, its influence on the quality of interpersonal relationships, particularly among adolescents, remains a critical area of study. In Indonesia, where social media usage among adolescents is high, understanding its impact on relationships is crucial for promoting healthy social interactions. This study investigates the influence of social media on the quality of interpersonal relationships in adolescents in Indonesia. The research utilizes a mixed-methods approach, combining quantitative surveys and qualitative interviews with 300 adolescents aged 12-18 years. The survey measured the frequency of social media use and the perceived quality of relationships with family, friends, and peers. The qualitative interviews provided deeper insights into adolescents’ experiences with social media and its role in shaping their social interactions. The results indicate that excessive social media use is associated with lower quality in face-to-face interactions, leading to weaker emotional bonds with family and friends. However, moderate use of social media was linked to enhanced peer connections and better communication skills. The study concludes that social media can both positively and negatively affect interpersonal relationships, and suggests that balanced usage should be encouraged to foster healthier social dynamics.
Quantum Computing to Design New More Effective Drugs Myint, Aung; Hlaing, Nandar; Oo, Zaw Min
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 Judijanto, Loso; Myint, Aung; Hlaing, Nandar; 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.
Co-Authors Anggreni, Made Ayu Arinda, Fita Budiawan, Budiawan Hlaing, Nandar Htwe, Thandar Judijanto, Loso Lin, Tun Muntasir, Muntasir Nur Syamsiah, Nur Oo, Zaw Min