Research Article | Volume: 1, Issue: 1 Published Date: June 13, 2025

A Review of Quantum Entanglement and Spiritual Implications: Exploring the Universe's Fate

Authors: Belay Sitotaw Goshu

Abstract: The exploration of quantum entanglement and its spiritual implications bridges two profound realms: the scientific and spiritual. Quantum entanglement reveals a mysterious interconnectedness where particles remain linked across vast distances, challenging classical notions of separateness. This concept mirrors spiritual teachings, such as the oneness described in Hindu Advaita Vedanta, indigenous traditions, and Buddhist philosophies. These traditions emphasize a unified existence, where every being is interconnected, echoing the non-locality found in quantum mechanics.

Research Article | Volume: 1, Issue: 1 Published Date: June 12, 2025

Mathematical Modeling of Vibrational Modes in Polygonal Musical Instruments: A Comparative Analysis of Triangular and Square Geometries

Authors: Belay Sitotaw Goshu

Abstract: The vibrational properties of musical instruments, such as triangular and square geometries, significantly influence their timbre, yet computational models require validation to ensure accuracy in predicting natural frequencies and mode shapes. This study aimed to validate mathematical models of triangular (side length 0.2 m) and square (side length 0.15 m) musical instruments, both with a perimeter of 0.6 m, using finite element analysis (FEA), and to compare their acoustic characteristics. FEA was implemented via the Euler-Bernoulli beam equation, with convergence analysis (N = 50, 100, 200) and analytical comparisons ensuring model accuracy. Material properties included a Young?s modulus of 200 GPa, density of 7850 kg/m?, and rod radius of 0.005 m.

Research Article | Volume: 1, Issue: 1 Published Date: June 12, 2025

Household Solid Waste Generation Rate and Physical Composition Analysis in Case of Assosa Town, Benishangul Gumuz Regional State, Ethiopia

Authors: Yetsedaw Alemu Anteneh* and Diriba Gonfa Tolasa

Abstract: Mismanagement of solid waste has been the main problem facing society around the globe today, and especially in developing countries. This study aims on the household solid waste generation rate and analyses the physical composition analysis in Assosa town of Ethiopia. Assosa is one of the fastest-growing cities in Ethiopia that has largest population growth rate and urbanization. Due to the abysmal solid waste management practice, its residents suffer from severe health problems. The problem relies upon a lack of awareness on the impact on human health and the lack of adequate solid waste disposal nearby. This study was conducted based on a survey questionnaire distributed to 373 randomly selected families and an in-depth interview with the responsible body.

Research Article | Volume: 1, Issue: 1 Published Date: June 12, 2025

Geopolitical Analysis: The Ukraine War

Authors: Maria Del Carmen Diaz Naranjo

Abstract: The contemporary conflict in Ukraine has emerged not merely as a regional military engagement, but as a transformative event that reshapes the global geopolitical order. Central to the analysis is the graphical visualization of the tripolar balance-an interplay among the United States, Russia, and China-that forms the nucleus of evolving international relations in the context of the Ukraine war.

Research Article | Volume: 1, Issue: 1 Published Date: June 11, 2025

A Progressive Framework for Supply Chain Optimization: From Rule-Based Logic to Advanced Mathematical Models

Authors: Uday Dhembare and Siddharth Chaudhary

Abstract: This paper presents an innovative framework for addressing complex supply chain optimization problems through a staged implementation approach, progressing from simple rule-based logic to sophisticated mathematical models. The framework emphasizes business acceptance and practical implementation while maintaining continuous improvement capabilities. Our extensive research across multiple industries demonstrates how organizations can evolve from basic Excel-based decision models to advanced mixed-integer linear programming solutions while maintaining high business acceptance rates. The study shows that this progressive approach achieves a 92% business acceptance rate while improving operational efficiency by 35% across various supply chain scenarios.

Research Article | Volume: 1, Issue: 1 Published Date: May 31, 2025

AI-Driven Brain-Computer Interface Motorcycle for Fully Paralyzed Users: A Sustainable and Adaptive Mobility Solution

Authors: Mahmoud Labib

Abstract: This research presents a novel AI-driven Brain-Computer Interface (BCI) motorcycle designed to empower individuals with total paralysis by enabling hands-free, mind-controlled navigation. Utilizing non-invasive EEG signal acquisition at 500 Hz, a convolutional neural network (CNN) with 92.7% classification accuracy, and a photovoltaic-electric hybrid power system yielding 35 km range, this prototype offers an adaptive, eco-friendly, and scalable mobility solution. Validated through simulations (Unity 3D, 91.2% navigation success) and physical prototyping (400 ms latency), the system aligns with UN Sustainable Development Goals (SDGs) 7, 10, and 11, addressing accessibility and sustainability challenges.

Research Article | Volume: 1, Issue: 1 Published Date: May 30, 2025

A New Paradigm for the Hearing Theory

Authors: Jan Myjkowski

Abstract: The first part of the paper provides a general overview of the paradigm for the hearing theory. Attention was drawn to the need for creating a new paradigm and to the problems with its acceptance. It is necessary to supply good documentary evidence for the big change between the old, recognised paradigm and the new one, based on new assumptions, new science and solid evidence. The second part briefly describes, in bullet points, the most important problems of Bekesy's travelling wave theory which either have not been explained or described incorrectly.

Research | Volume: 1, Issue: 1 Published Date: May 31, 2025

The Rise of Robotics in Healthcare: Automation and Precision Medicine

Authors: Soren Falkner

Abstract: The healthcare landscape is undergoing a significant transformation with the increasing integration of robotics. This paper explores the burgeoning role of robotics in healthcare, highlighting its impact on both automation of routine tasks and the advancement of precision medicine. From robotic surgery and rehabilitation to automated dispensing systems and diagnostic support, we examine how these technologies are enhancing efficiency, accuracy, and patient outcomes.

Research Article | Volume: 1, Issue: 1 Published Date: May 31, 2025

The AI Doctor: Artificial Intelligence in Medical Diagnosis and Treatment

Authors: Soren Falkner

Abstract: Artificial intelligence (AI) is rapidly transforming healthcare, particularly in the realms of medical diagnosis and treatment. This abstract explores the burgeoning role of AI algorithms and machine learning techniques in augmenting the capabilities of medical professionals. AI-powered systems are being developed and implemented for a wide range of applications, including the analysis of medical images for early disease detection, the prediction of patient outcomes and risk stratification, the personalization of treatment plans based on individual patient data, and the acceleration of drug discovery and development.

Research Articl | Volume: 1, Issue: 1 Published Date: May 30, 2025

Tech-Driven Healthcare Using Al: Innovations Transforming Patient Care and Medical Practice

Authors: Soren Falkner

Abstract: The landscape of healthcare is undergoing a profound transformation driven by rapid advancements in technology. This paper explores the pivotal role of emerging innovations in reshaping both patient care delivery and medical practice. From artificial intelligence and machine learning augmenting diagnostic capabilities to the proliferation of telehealth and wearable devices enabling remote patient monitoring, technology is fostering more personalized, efficient, and accessible healthcare systems.