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Quantum Dot-Embedded Polymer Films for Flexible Photonic Devices: Fabrication and Characterization Nampira, Ardi Azhar; Zahir, Roya; Khan, Omar; Shofiah, Siti
Research of Scientia Naturalis Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i4.2389

Abstract

materials for photonic devices that can conform to non-planar surfaces. Quantum dots (QDs) are ideal candidates due to their size-tunable emission and high quantum yields, but their integration into durable, flexible platforms remains a key challenge. This study aimed to develop and characterize highly luminescent and mechanically flexible quantum dot-embedded polymer films as a robust platform for next-generation photonic applications. We fabricated composite films by embedding cadmium selenide/zinc sulfide (CdSe/ZnS) core-shell QDs into a polydimethylsiloxane (PDMS) polymer matrix via solution casting. The structural, optical, and mechanical properties were systematically investigated using transmission electron microscopy (TEM), UV-Vis absorption, photoluminescence (PL) spectroscopy, and cyclic bending tests. The results showed that TEM analysis confirmed a uniform dispersion of QDs within the PDMS matrix without aggregation. The composite films exhibited intense, stable photoluminescence, retaining the characteristic sharp emission of the colloidal QDs. Crucially, the films demonstrated exceptional mechanical flexibility, maintaining over 95% of their initial PL intensity after 1,000 bending cycles to a 5 mm radius. The optical properties remained stable under various strain conditions, proving the effective protection afforded by the polymer matrix. This work successfully demonstrates a scalable method for producing high-quality, flexible photonic materials.  
Gene Expression Analysis to Predict Patient Response to Chemotherapy Judijanto, Loso; Amin, Rafiullah; Zahir, Roya
Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v2i1.2020

Abstract

Chemotherapy is a cornerstone of cancer treatment, yet patient responses vary significantly. Understanding the molecular basis of this variability is crucial for optimizing therapy. To predict patient response to chemotherapy using gene expression analysis, aiming to improve personalized treatment strategies. A prospective cohort study involving high-throughput RNA sequencing and microarray analysis was conducted on tumor biopsies and blood samples from patients undergoing chemotherapy. Differentially expressed genes were identified and correlated with treatment outcomes. Gene expression profiles of ABCB1, TP53, BRCA1, ERBB2, and BCL2 were found to significantly predict chemotherapy response. Patients with high expression of these genes showed better treatment outcomes. In vitro and in vivo models validated these findings, confirming the predictive power of these gene signatures. Gene expression analysis provides valuable insights into predicting chemotherapy response, facilitating personalized cancer treatment. Further clinical trials are necessary to validate these biomarkers and develop accessible diagnostic platforms.
Ethics in Artificial Intelligence: A Philosophical Exploration Destari, Dina; Zahir, Roya; Sukoco, Hendro
Journal of Humanities Research Sustainability Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jhrs.v2i2.1939

Abstract

Background. Artificial intelligence (AI) has emerged as a transformative technology, bringing unprecedented opportunities and ethical challenges. The growing autonomy of AI systems raises questions about moral responsibility, bias, and social impact, which require a philosophical exploration to address these issues comprehensively. Purpose. This study aims to explore the ethical dimensions of AI by focusing on algorithmic bias, moral responsibility, and social impact. Through a philosophical lens, the research seeks to identify key challenges and propose frameworks to bridge the ethical gaps in AI development and implementation. Method. The research adopts a qualitative approach by analyzing 15 purposively selected academic sources. These include peer-reviewed journal articles, policy reports, and books discussing AI ethics. A conceptual framework was developed to evaluate algorithmic bias, moral responsibility, and social impact, using thematic analysis to synthesize insights from the literature. Results. The findings reveal that algorithmic bias stems from unrepresentative training data, reinforcing historical injustices. Moral responsibility in AI development becomes complex due to the involvement of multiple actors, requiring new ethical frameworks. AI's social impact, particularly on inequality and access, highlights the urgent need for regulations to mitigate negative effects. Case studies in recruitment, healthcare, and criminal justice systems illustrate the real-world implications of these issues. Conclusion. This study underscores the importance of integrating ethical considerations into AI design and deployment. Philosophical perspectives provide valuable insights into addressing algorithmic bias, defining moral responsibility, and understanding social impacts. Future research should focus on empirical studies and the development of global ethical regulations to guide AI use responsibly.
THE ROLE OF TIMBER IN THE GLOBAL ECONOMY: A SUSTAINABLE PERSPECTIVE Ali, Zara; Zahir, Roya; Khan, Jamil
Journal of Selvicoltura Asean Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i1.2032

Abstract

Timber has long been a cornerstone of the global economy, serving as a key raw material in construction, furniture manufacturing, and paper production. However, the growing concerns over deforestation, climate change, and resource depletion have raised questions about the sustainability of timber production and its long-term impact on the environment. Understanding the role of timber in the global economy from a sustainable perspective is crucial for balancing economic development with environmental conservation. This study aims to explore the economic importance of timber in various industries and evaluate its role in sustainable development. It seeks to assess the current trends in timber production and consumption while identifying the challenges and opportunities for promoting sustainable practices in the timber industry. The study employs a mixed-methods approach, combining quantitative data analysis of global timber trade statistics with qualitative case studies of sustainable forestry practices. Data from international trade reports, environmental NGOs, and industry surveys were analyzed to evaluate the economic contribution of timber and its environmental impact. The results reveal that timber remains a vital economic resource, contributing significantly to the global GDP, particularly in developing countries. However, unsustainable logging practices threaten forest ecosystems, which necessitates urgent policy interventions. The study highlights successful examples of sustainable forestry management and certification systems that can mitigate the negative environmental impacts of timber production. The findings suggest that while timber continues to be economically significant, sustainable forestry practices are essential for ensuring the long-term viability of the timber industry. Recommendations include strengthening international regulations, promoting sustainable forestry certification, and investing in forest restoration initiatives.