Volume 87 Issue 05
Research Article, Type: Subscription; Pages: 01-18;
Received: 22 February 2026 / Revised: 01 April 2026 / Accepted: 21 April 2026 / Published: 05 May 2026
Title: The Dual-Edged Sword of AI in Personalized Medicine: Balancing Predictive Efficacy with Patient Data Privacy
Authors: Sisi Liu, Jonna Piiparinen, Bruno Jalou, Franklin Marina, Ximena Palmora & Ziu Ziyani
Abstract: The integration of Artificial Intelligence (AI) and machine learning algorithms into personalized medicine has fundamentally transformed patient care, enabling highly accurate diagnostics and individualized treatment plans. By analyzing massive datasets of genomic information, electronic health records, and real-time biometric data, AI models can predict disease onset and treatment responses with unprecedented accuracy. However, the reliance on such vast, sensitive datasets introduces critical vulnerabilities regarding patient data privacy, informed consent, and cybersecurity. This study examines the tension between the clinical benefits of AI-driven personalized medicine and the ethical imperative to protect patient data. Utilizing a mixed-methods approach, the research will evaluate the current data anonymization techniques used in major health informatics systems and cross-reference them with global data protection frameworks (such as GDPR and HIPAA). Furthermore, the study explores the viability of decentralized machine learning approaches, specifically federated learning, as a mechanism to train predictive models without extracting raw patient data from local servers. ………….[For more click here]
Keywords: Artificial Intelligence (AI), Personalized Medicine, Data Privacy, Federated Learning, Health Informatics, Bioethics, Predictive Analytics
Research article, Type: Subscription; Page: 19-36;
Received: 25 February 2026 / Revised: 16 April 2026 / Accepted: 30 April 2026 / Published: 08 May 2026
Title: The Efficacy of AI-Driven Predictive Models in Personalized Oncology
Author: Abdulmajeed Aouidh, Sonu Kumar, Ankit Kumar, Rohit Pathak & Sunaina Bharti
Abstract: This research explores how artificial intelligence can analyze genetic markers to predict cancer progression. Traditional oncology relies heavily on standardized treatment protocols that may not work for every patient. By integrating machine learning algorithms with patient-specific genomic data, doctors could potentially tailor treatments with unprecedented accuracy. The study will evaluate the success rates of these predictive models compared to historical, generalized medical interventions. Furthermore, it will address the ethical concerns surrounding data privacy and algorithm bias in modern healthcare. Ultimately, this research aims to establish a framework for safely integrating predictive AI into everyday oncological practices.………….[For more click here]
Keywords: Personalized Medicine, Artificial Intelligence, Oncology, Predictive Modeling, Machine Learning
Research article, Type: Subscription; Page: 37-51;
Received: 12 February 2026 / Revised: 23 April 2026 / Accepted: 25 April 2026 / Published: 10 May 2026
Title: Assessing the Long-Term Impact of Microplastics on Agricultural Soil Microbiomes
Author: F. P. Etman, Diana Disuja & Michel Philips
Abstract: Microplastic pollution is a growing environmental crisis that extends far beyond our oceans and into our terrestrial food systems. This study investigates how the accumulation of microplastics alters the delicate balance of microbial communities within agricultural soils. Soil microbiomes are essential for nutrient cycling and overall crop health, making their disruption a critical threat to global food security. Researchers will conduct longitudinal field experiments to measure changes in microbial diversity over a five-year period. The project will also analyze whether these microplastics facilitate the transfer of antibiotic-resistance genes among soil bacteria. The findings will inform new agricultural policies aimed at mitigating soil contamination and protecting future crop yields. ………….[For more click here]
Keywords: Microplastics, Soil Microbiome, Agriculture, Environmental Science, Food Security
Research article, Type: Subscription; page: 52-65;
Received: 02 February 2026 / Revised: 30 April 2026 / Accepted: 01 May 2026 / Published: 12 May 2026
Title: The Psychological Effects of Prolonged Virtual Reality Integration in Remote Work
Author: Haque Pranto & Murfujha Kayachchi
Abstract: As companies increasingly adopt virtual reality (VR) for remote collaboration, the psychological impact on employees remains largely undocumented. This research will examine the cognitive and emotional consequences of spending extended work hours in fully immersive digital spaces. Participants will be monitored for symptoms of virtual fatigue, spatial disorientation, and changes in real-world social behaviors. The study will also compare the productivity and job satisfaction of VR-based teams against traditional video-conferencing groups. Identifying the threshold for healthy VR exposure is a primary objective of this investigation. Results will help corporate HR departments design better well-being guidelines for the next generation of remote workers. ………….[For more click here]
Keywords: Virtual Reality, Remote Work, Occupational Psychology, Mental Health, Ergonomics.
Research article, Type: Subscription; page: 66-73;
Received: 02 March 2026 / Revised: 01 May 2026 / Accepted: 04 May 2026 / Published: 14 May 2026
Title: 3D-Printed Geopolymer Concrete Incorporating Recycled Marine Plastics: Structural Viability and Environmental Life-Cycle Assessment
Author: Eisi Ghanem Aljohani, Abdulmajeed Aouidh Alaofi & Amani Abdulmunaem Alhaisoni
Abstract: The construction industry faces a dual challenge: reducing the immense carbon footprint associated with traditional Portland cement production and addressing the global crisis of marine plastic pollution. This research investigates the structural viability and environmental impact of a novel 3D-printable geopolymer concrete mixture that utilizes pulverized, recycled high-density polyethylene (HDPE) marine plastics as a partial fine-aggregate replacement. By leveraging additive manufacturing (3D concrete printing), this study aims to optimize the rheological properties of the geopolymer paste to ensure extrudability and shape retention while maintaining structural integrity. The methodology encompasses extensive mechanical testing—including compressive, flexural, and tensile strength assessments—alongside microstructural analysis using Scanning Electron Microscopy (SEM) to evaluate the interfacial transition zone between the geopolymer matrix and the plastic aggregates………….. [For more click here]
Keywords: 3D Concrete Printing (3DCP), Geopolymer Concrete, Recycled Marine Plastics, Sustainable Construction, Life-Cycle Assessment (LCA), Rheology
Research article, Type: Subscription; page: 74-88;
Received: 15 March 2026 / Revised: 22 April 2026 / Accepted: 01 May 2026 / Published: 15 May 2026
Title: Deep Reinforcement Learning for the Kinematic Control and Tactile Sensing of Bio-Inspired Soft Robotic Manipulators
Author: Akshay Sharma, Sunil Kumar, Rubina khyat & Nannette C. Auerhahan
Abstract: Soft robotics offers unprecedented adaptability and safety in human-robot interactions and delicate grasping tasks, primarily due to their continuous deformation and infinite degrees of freedom. However, the highly non-linear dynamics of elastomeric materials make traditional rigid-body control algorithms ineffective. This research proposes a novel control framework utilizing Deep Reinforcement Learning (DRL) to achieve precise kinematic control and adaptive grasping in a bio-inspired, pneumatically actuated soft robotic tentacle. The system integrates flexible, multi-modal tactile sensors directly into the silicone matrix of the manipulator to provide real-time feedback on contact force and spatial deformation. A simulation-to-reality (Sim2Real) training pipeline will be developed, allowing the neural network to learn complex grasping policies in a physics-based simulator before being deployed onto the physical prototype. The study will evaluate the manipulator’s performance in unstructured environments, specifically its ability to securely grasp fragile objects of varying geometries without inducing damage.………….. [For more click here]
Keywords: Soft Robotics, Deep Reinforcement Learning (DRL), Pneumatic Actuators, Flexible Tactile Sensors, Sim2Real Transfer, Kinematic Control
Research article, Type: Subscription; page: 89-104;
Received: 22 March 2026 / Revised: 28 April 2026 / Accepted: 08 May 2026 / Published: 17 May 2026
Title: Evaluating the Efficacy and Ethical Implications of Large Language Models in Delivering Personalized, Real-Time Mental Health Interventions
Author: Abdulwahab Owaidh Saud Aloufi, Eisi Ghanem Aljohani, Abdulmajeed Aouidh Alaofi & Amani Abdulmunaem Alhaisoni
Abstract: The global shortage of mental health professionals has accelerated the adoption of digital health solutions, with Large Language Models (LLMs) emerging as a prominent tool for preliminary psychological support. This research investigates the efficacy and safety of deploying highly contextualized LLMs to deliver real-time, personalized interventions based on Cognitive Behavioral Therapy (CBT) principles. Through a mixed-methods approach involving simulated patient interactions and a randomized controlled trial (RCT) with mild-to-moderate anxiety patients, this study evaluates the model’s empathetic resonance, crisis-detection accuracy, and long-term user outcomes. Furthermore, the research addresses critical ethical implications, focusing on data privacy, algorithmic bias, and the risks of clinical hallucination. Preliminary hypotheses suggest that while LLMs can significantly bridge the accessibility gap in mental healthcare, strict guardrails and human-in-the-loop (HITL) frameworks are essential for patient safety.………….. [For more click here]
Keywords: Large Language Models (LLMs), Digital Therapeutics, Mental Health Accessibility, Cognitive Behavioral Therapy (CBT), AI Ethics, Telepsychiatry
Research article, Type: Subscription; page: 105-118;
Received: 08 January 2026 / Revised: 12 March 2026 / Accepted: 05 May 2026 / Published: 18 May 2026
Title: Synthesis and Characterization of Novel Biodegradable Polymers Derived from Rice Husk and Cassava Peels for Commercial Food Packaging
Author: Katrin Wieneke, S. Shao, D. Carsten Md Mainul Islam, Md Rakibul & Haque Pranto
Abstract: The accumulation of single-use, petroleum-based plastics poses a severe threat to global ecosystems, necessitating the development of sustainable, bio-based alternatives. This study explores the synthesis of novel biodegradable polymer films utilizing agricultural waste—specifically, cellulose extracted from rice husks and starch from cassava peels. The research outlines a scalable, low-impact chemical extraction and film-casting process. The resulting biopolymers are subjected to comprehensive characterization, including tensile strength testing, water vapor permeability, and thermal stability analysis. Additionally, soil burial degradation assays are conducted to measure the environmental breakdown rate of the materials over a 90-day period. The findings aim to demonstrate that agro-waste-derived bioplastics can achieve mechanical and barrier properties comparable to conventional synthetic plastics, thereby offering a viable, circular-economy solution to plastic pollution and agricultural waste management.………….. [For more click here]
Keywords: Biopolymers, Sustainable Packaging, Agricultural Waste Valorization, Cellulose Extraction, Circular Economy, Biodegradability
Research article, Type: Subscription; page: 119-133;
Received: 02 March 2026 / Revised: 18 April 2026 / Accepted: 04 May 2026 / Published: 21 May 2026
Title: Ergonomic Assessment and Optimization of Traditional Carpentry and Fitting Tools Used in Manufacturing Sectors
Author: Trian Hon, Zin Chung & Fhaled Taab
Abstract: Traditional carpentry and mechanical fitting play an essential role in rural and semi-urban manufacturing sectors, yet the tools utilized have seen minimal ergonomic evolution. This study conducts a comprehensive ergonomic and mechanical assessment of standard hand tools—including mallets, chisels, planes, and fitting vises—commonly employed by local artisans. Utilizing biomechanical modeling and user-feedback surveys from workshops, the research identifies the primary sources of musculoskeletal strain and repetitive motion injuries. Consequently, optimized tool handles and grip geometries were developed using computer-aided design (CAD) and rapid prototyping. The redesigned tools were tested against traditional counterparts for grip force distribution and user fatigue over extended operational periods. The optimized designs significantly reduced localized contact stress and improved overall mechanical leverage. This paper highlights the critical need for integrating modern ergonomic principles with traditional carpentry and fitting tools to enhance occupational health and productivity in unorganized manufacturing sectors. .………….. [For more click here]
Keywords: Ergonomics, Carpentry Tools, Fitting Tools, Occupational Health, Biomechanical Modeling