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Development of Composite Biomaterial Based Dental Implants to Improve Osseointegration Rith, Vicheka; Sok, Vann; Dara, Ravi
Journal of Biomedical and Techno Nanomaterials Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v1i3.1760

Abstract

Dental implant technologies face significant challenges in achieving optimal osseointegration, critical for successful long-term patient outcomes. Traditional implant materials demonstrate limitations in biological performance, cellular interactions, and healing processes. Developing advanced biomaterial strategies capable of dynamically interacting with physiological environments represents crucial scientific innovation. Research objectives aimed to develop sophisticated composite biomaterial dental implants with enhanced osseointegration capabilities through innovative surface modifications and strategic ceramic reinforcement approaches. Experimental methodology employed comprehensive research design integrating materials science, cellular biology, and advanced computational modeling. Experimental protocols included precision biomaterial synthesis, nanoscale surface engineering, in vitro cellular response assessments, and sophisticated characterization techniques. Experimental results demonstrated statistically significant improvements in osseointegration rates, cellular attachment, and mechanical strength across developed composite biomaterial variants. Hierarchical surface modifications incorporating zirconia and hydroxyapatite reinforcements exhibited superior performance compared to traditional implant technologies. Conclusive findings validate innovative composite biomaterial approaches as transformative strategies for dental implant development, offering potential for accelerated healing, improved cellular interactions, and personalized medical interventions.
The Role of Empathy in Reducing Prejudice: A Cross-Cultural Study in Diverse Elementary School Settings Budiawan, Budiawan; Rith, Vicheka; Dara, Chenda
Research Psychologie, Orientation et Conseil Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rpoc.v2i5.2711

Abstract

Prejudice is a pervasive issue in diverse societies, and addressing it at an early age can help reduce its long-term impact. This study explores the role of empathy in reducing prejudice among elementary school students in diverse cultural settings. The research aims to examine whether empathy training can effectively decrease prejudicial attitudes in students from different cultural backgrounds and whether such interventions are equally impactful across various cultural contexts. A mixed-methods design was employed, combining pre- and post-intervention surveys with in-depth interviews in a sample of 300 students from three culturally diverse elementary schools. The quantitative data, analyzed using paired t-tests and ANOVA, revealed a significant reduction in prejudicial attitudes among students who participated in empathy-building activities. The qualitative findings, derived from interviews with teachers and students, supported these results, suggesting that empathy training fostered greater understanding and respect for diversity. The study concludes that empathy plays a crucial role in reducing prejudice in young children and that culturally tailored empathy interventions are effective in diverse elementary school environments. This research emphasizes the importance of early interventions in promoting inclusivity and tolerance, offering practical insights for educators and policymakers in multicultural education.
Error Correction Codes for Fault-Tolerant Quantum Computation in Superconducting Qubit Architectures Judijanto, Loso; Rith, Vicheka; Sok, Vanna
Journal of Tecnologia Quantica Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i4.2790

Abstract

Fault-tolerant quantum computation remains a central challenge in superconducting qubit architectures, where decoherence, crosstalk, and gate infidelities significantly degrade computational reliability. Although quantum error correction (QEC) codes are widely assumed to provide scalable protection, their practical performance depends critically on hardware-specific noise characteristics that are often underexamined. This study aims to evaluate the effectiveness of leading QEC codes specifically the surface code, Bacon-Shor code, and low-density parity-check (LDPC) quantum codes when implemented on contemporary superconducting qubit platforms. A simulation-based methodological approach is employed, integrating stochastic noise modeling, syndrome extraction analysis, and threshold estimation using density-matrix simulations calibrated with experimentally reported parameters. The results indicate that while the surface code maintains the highest threshold under realistic two-qubit gate fidelities, LDPC-based schemes exhibit superior logical qubit compression but suffer from decoding overhead that limits near-term applicability. The study also identifies parameter regimes where Bacon-Shor codes offer competitive performance due to their reduced measurement complexity. The findings suggest that no single QEC code uniformly outperforms others; instead, code selection must be matched to hardware-specific noise anisotropy and architectural constraints. The research concludes that optimizing QEC for superconducting qubits requires hybrid design strategies that integrate code efficiency with architecture-aware gate scheduling.
Resource-Efficient Fault-Tolerant Quantum Computing Architectures Based on Surface Codes with Dynamic Error Suppression Rith, Vicheka; Kiri, Ming; Idris, Adam
Journal of Tecnologia Quantica Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i6.3199

Abstract

Quantum computing has the potential to revolutionize industries by solving complex problems that are intractable for classical computers. However, achieving fault tolerance in large-scale quantum systems remains a significant challenge due to the high resource overhead required for error correction. Surface codes, a leading quantum error correction technique, provide robust fault tolerance but demand a large number of physical qubits. This research explores a resource-efficient approach by integrating dynamic error suppression with surface codes to reduce qubit overhead while maintaining fault tolerance in quantum computing architectures. The objective of this study is to investigate how dynamic error suppression can enhance the performance of surface code-based quantum computing architectures by minimizing resource usage and improving system reliability. The research employs computational simulations to model quantum systems under varying error rates, qubit numbers, and dynamic error correction strategies. The results demonstrate that combining dynamic error suppression with surface codes significantly reduces the physical qubit overhead while maintaining or improving fault tolerance. The proposed architecture achieves higher efficiency and robustness in large-scale systems, especially at higher error rates. In conclusion, this study offers a practical solution for scaling quantum computing systems by optimizing resource usage without compromising fault tolerance. These findings have important implications for the development of efficient, fault-tolerant quantum computers suitable for real-world applications.