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All Journal World Psychology Journal of Computer Science Advancements Journal of Tecnologia Quantica Techno Agriculturae Studium of Research Journal of Biomedical and Techno Nanomaterials
Williams, Sarah
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Education Physics Social Sciences Other

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Implementation of Grid Computing in Genomic Data Processing in Biomedical Informatics Rahmawati, Rahmawati; Al-Momani, Ammar; Williams, Sarah
Journal of Computer Science Advancements Vol. 2 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i6.1618

Abstract

The exponential growth of genomic data in biomedical informatics has necessitated efficient computational methods to process and analyze vast datasets. Traditional computational systems often fall short in handling the scale and complexity of genomic data. This study investigates the implementation of grid computing as a scalable and cost-effective solution for genomic data processing in biomedical informatics. The research aims to evaluate the feasibility and performance of grid computing in enhancing data throughput, reducing computational latency, and improving resource utilization in genomic data workflows. The study adopts a methodological approach that integrates grid computing frameworks, such as Globus Toolkit and Apache Hadoop, into genomic data processing pipelines. Simulated genomic datasets and real-world case studies were employed to benchmark the grid computing system against conventional computational environments. The results demonstrate significant improvements in processing speed, with an average reduction of 40% in computational time, and a 25% increase in resource efficiency. Additionally, the system showcased robust scalability, handling up to 10 times larger datasets without compromising accuracy or reliability. In conclusion, the findings underscore the potential of grid computing to revolutionize genomic data processing, making it a pivotal technology in biomedical informatics. This study highlights the importance of adopting distributed computing paradigms to address the challenges posed by modern bioinformatics demands.
Quantum Cryptography to Secure Financial Data Williams, Sarah; Martin, David; Green, Jessica
Journal of Tecnologia Quantica Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i6.1702

Abstract

The background of this research focuses on the security challenges of financial data in the era of quantum computing, which can threaten traditional encryption systems. With the advancement of quantum computing technology, quantum cryptography is considered a potential solution to protect sensitive data from more sophisticated eavesdropping threats. The purpose of this study is to evaluate the effectiveness of the quantum key distribution protocol (QKD) in securing financial data and analyze its advantages and disadvantages in this context. The method used is a performance simulation of the three main QKD protocols (BB84, E91, and B92) to measure key delivery time, security level, and computing resource usage. The results show that the E91 protocol offers a higher level of security than BB84 and B92, although it requires longer delivery times and more resources. The conclusion of this study emphasizes that although quantum cryptography has great potential for securing financial data, its practical application still faces various challenges, especially in terms of efficiency and necessary resources. Further research is needed to optimize these protocols and overcome technical and cost barriers to implementation on a financial industry scale.
PHARMACEUTICAL NANOTECHNOLOGY: FORMULATION AND IN VIVO EVALUATION OF CURCUMIN-LOADED NANOSUSPENSIONS FOR ENHANCED ANTI-INFLAMMATORY EFFICACY Issusilaningtyas, Elisa; Williams, Sarah; Muntasir, Muntasir
Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v2i4.2523

Abstract

Curcumin, a natural polyphenol derived from Curcuma longa, is well-regarded for its potent anti-inflammatory properties. However, its therapeutic application is severely hampered by its extremely low aqueous solubility and poor oral bioavailability, which leads to suboptimal absorption and limited clinical efficacy. Pharmaceutical nanotechnology offers a promising strategy to overcome these biopharmaceutical challenges. This research aimed to formulate a stable curcumin nanosuspension to significantly enhance its dissolution rate and bioavailability, and to subsequently evaluate its improved anti-inflammatory efficacy in an in vivo model. A curcumin nanosuspension was prepared using the high-pressure homogenization technique, stabilized with Poloxamer 188. The formulation was characterized for particle size, polydispersity index (PDI), and zeta potential. An in vivo anti-inflammatory study was conducted using the carrageenan-induced paw edema model in Wistar rats, comparing the efficacy of the nanosuspension against a conventional coarse curcumin suspension. The optimized nanosuspension exhibited a narrow particle size distribution with a mean diameter of 210 nm and a zeta potential of -28.5 mV, indicating good physical stability. The in vivo evaluation demonstrated that the curcumin nanosuspension produced a significantly greater inhibition of paw edema (72.4%) compared to the coarse curcumin suspension (28.1%) at the same dose (p < 0.01). Formulating curcumin into a nanosuspension is a highly effective strategy for overcoming its inherent bioavailability limitations. This nanotechnological approach dramatically enhances curcumin’s anti-inflammatory activity, validating its potential as a powerful therapeutic agent for inflammatory conditions.
AI TUTORS AND CULTURAL CONTEXT: INVESTIGATING THE IMPACT OF GENERATIVE AI ON EDUCATIONAL EQUITY IN MULTICULTURAL CLASSROOMS Asih Sudarsih; Batista, Nadia; Williams, Sarah
World Psychology Vol. 4 No. 3 (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.v4i3.1046

Abstract

The rapid deployment of generative AI tutors in multicultural classrooms promises personalized learning but risks exacerbating inequity. These tools, often trained on culturally-biased, “WEIRD” (Western, Educated, Industrialized, Rich, Democratic) data, may not account for the diverse linguistic and contextual needs of all students, potentially reinforcing a dominant “algorithmic monoculturalism.” This study investigates the impact of culturally-misaligned AI tutors on educational equity. It aims to (1) audit the cultural responsiveness of commercial AI tutors, (2) quantitatively measure their differential impact on student belonging and engagement, and (3) qualitatively explore the lived experiences of marginalized students. A sequential explanatory mixed-methods design was employed. Phase 1 involved a computational content audit (AICR Rubric). Phase 2 was a quasi-experiment (N=180) with pre/post-tests measuring belonging and engagement. Phase 3 used phenomenological interviews (N=30) with marginalized students. The audit confirmed significant cultural misalignment in AI tutors (Tutor A M=1.5/5.0). The quasi-experiment revealed a statistically significant decline in academic belonging (p < .001) and engagement for the marginalized group, with no negative effect on the dominant group. Qualitative themes of “Perceived Algorithmic Judgment” and “Cognitive Friction” explained this iatrogenic effect. Standard “one-size-fits-all” AI tutors can actively cause harm, creating new equity gaps by failing to address cultural context. The study provides a novel framework for equity-focused AI assessment and calls for a design paradigm shift towards culturally sustaining technology.
CRISPR/CAS9-MEDIATED GENETIC ENGINEERING FOR DEVELOPING SALINITY-TOLERANT RICE VARIETIES FOR INDONESIAN COASTAL AGRICULTURE Scott, James; Williams, Sarah; Martin, David
Techno Agriculturae Studium of Research Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v2i6.2964

Abstract

Salinity intrusion in coastal agricultural areas has become a major constraint to rice production in Indonesia, driven by climate change, sea-level rise, and unsustainable land management practices. High soil salinity adversely affects rice growth, yield stability, and food security, particularly in coastal regions that depend heavily on rice cultivation. Conventional breeding approaches for developing salinity-tolerant rice varieties are often time-consuming and limited by genetic complexity. Advances in genome editing technologies, particularly CRISPR/Cas9, offer a precise and efficient alternative for accelerating crop improvement. The objective of this study is to develop salinity-tolerant rice varieties suitable for Indonesian coastal agriculture through CRISPR/Cas9-mediated genetic engineering targeting key genes associated with salt stress tolerance. This research employed an experimental laboratory-based design combined with controlled greenhouse evaluation. Specific salinity-responsive genes were identified and edited using the CRISPR/Cas9 system. Transgenic rice lines were generated and screened for successful gene edits using molecular analysis techniques. Edited lines were subsequently evaluated under saline and non-saline conditions to assess physiological responses, growth performance, and yield-related traits. The results demonstrate that CRISPR/Cas9-edited rice lines exhibited enhanced tolerance to saline stress, indicated by improved germination rates, higher chlorophyll content, better ion homeostasis, and increased biomass compared to non-edited controls. Several edited lines maintained stable growth and yield under moderate to high salinity levels, confirming the effectiveness of targeted gene modification. In conclusion, CRISPR/Cas9-mediated genetic engineering shows strong potential for developing salinity-tolerant rice varieties tailored to Indonesian coastal environments. This approach provides a rapid and precise strategy to enhance rice resilience, support sustainable coastal agriculture, and strengthen national food security under changing climatic conditions.
Co-Authors Al-Momani, Ammar Asih Sudarsih Batista, Nadia Elisa Issusilaningtyas Green, Jessica Martin, David Muntasir, Muntasir Rahmawati, Rahmawati Scott, James