Science and Engineering Journal is a peer-reviewed publication that covers a wide range of topics in the fields of natural and applied sciences, as well as engineering. The journal publishes original research, reviews, and technical papers that explore innovations, methodologies, and practical applications across disciplines such as physics, chemistry, materials science, civil, mechanical, electrical, and environmental engineering. Its mission is to promote the advancement of scientific knowledge and engineering solutions that address contemporary challenges and contribute to technological progress. The journal serves as a platform for researchers and practitioners to share findings, collaborate, and drive forward the development of both fundamental and applied sciences.
Scientific Research; Scientific Method; Experimentation; Data Analysis; Innovation; Discovery; Laboratory Techniques; Theoretical Science; Applied Science; Interdisciplinary Research; Classical Mechanics; Quantum Mechanics; Thermodynamics; Electromagnetism; Optics; Nanotechnology; Nuclear Physics; Organic Chemistry; Inorganic Chemistry; Biochemistry; Chemical Engineering; Material Science; Catalysis; Polymer Science; Spectroscopy; Geology; Meteorology; Climatology; Oceanography; Environmental Science; Renewable Energy; Sustainability; Pollution Control; Waste Management; Hydrology; Renewable Energy Systems; Green Engineering; Human-Computer Interaction; Bioinformatics; Semiconductor Technology; Circuit Design; Power Systems; Embedded Systems; Signal Processing; Telecommunications; Wireless Networks; Photonics; Control Systems; Smart Grids; Infrastructure Engineering; Smart Cities; Urban Planning; Sustainable Construction; Earthquake Engineering; Geotechnical Engineering; Bridge Design; Hydraulics; Traffic Engineering; Highway Design
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Research Article | Volume: 2, Issue: 1 Published Date: February 25, 2026 Carbon Dioxide Utilization and Removal: Building Circular Carbon Economy Authors: Belay Sitotaw Goshu Abstract: Background: Ethiopia, vulnerable to climate extremes like droughts affecting 20 million annually, faces a 68% emissions rise by 2030 without intervention, per NDC 3.0. Carbon dioxide removal (CDR) and utilization (CCU) technologies offer pathways to net-zero by 2050, yet deployment lags due to technological immaturity, barriers, and socioeconomic inequities in a 120 million population reliant on agriculture (70% workforce). Purpose: This study evaluates CDR/CCU viability, barriers, employment transitions, SDG synergies, and policy-financing needs to inform equitable scaling, targeting 50 MtCO₂e annual removal and 1.2 million green jobs by 2030. |
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Research Article | Volume: 1, Issue: 2 Published Date: August 21, 2025 Cyber Law and the Regulation of Digital Platform Examine Authors: Dr. Pallavi Gupta Abstract: The growing use of the internet in the last decade of the 20th century gave rise to a new area of law that known as Cyber Law. In the cyber era and with the invent of artificial intelligence number of digital landscape are rapidly evolved. When artificial intelligence and technology plays a significant role in our daily lives, the question arises, whether existing cyber law is sufficient to handle new type of cybercrime, if committed, or to regulate digital platform if irregularity or misuse committed by anyone or to regulate misuse or damage committed by artificial intelligence. |
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Research Article | Volume: 1, Issue: 2 Published Date: July 10, 2025 Deep CNN models for Accurate Recognition of DR and Glaucoma from Fundus Retinal Images Authors: Dr. BalKrishna Sharma* Abstract: Globally, diabetic retinopathy (DR) and glaucoma (GL) are major contributors to permanent vision loss hence, it is crucial to detect these conditions early and accurately in order to inhibit their progression. It is possible to misclassify fundus photos taken with varying field of view and resolution settings because key characteristics are lost. Specifically, this research suggests a multi-scale assisted DL model for precise DR and GL categorization. This research demonstrates automated diabetic retinopathy identification using a proprietary Convolutional Neural Network (CNN) model trained on the publicly accessible Messidor dataset. |
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Research Article | Volume: 1, Issue: 1 Published Date: December 20, 2024 Networking Challenges in IoT to Deployment of TCP/IP to 6LoWPAN for Next Gen Network System Authors: Vaidehi Shah* Abstract: The ideas that revolve around the Internet of Things (IoT), include e-health care, self-driving automobiles, smart surroundings, augmented reality, and high-resolution video streaming, are now widely used. These applications demand more capacity, low latency, high throughput, wide bandwidth, and larger data rates. The Internet of Things (IoT) is revolutionizing the digital landscape by tying together a huge number of intelligent devices from industries including industrial automation, smart cities, healthcare, and agriculture. These systems require high efficiency, low latency, and minimal energy usage to operate effectively. |
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Research Article | Volume: 1, Issue: 2 Published Date: July 09, 2025 Authors: Satyendra Nath Chakrabartty Abstract: Increasing trend of elderly population with significant multimorbidity, impairment, disability and psycho-social-economic problems leading to poor quality of life (QOL) is a major public concerns at global level. Methodologically sound measurement of QOL for elderly is the first step to know how well our elders are. Scales to measure QOL and associated factors suffer from methodological limitations and are not comparable due to different dimensions covered; different item formats, scoring methods, method of aggregation, etc. The paper transforms item scores to normally distribute Pi-scores, and scale score reflecting overall QOL-status (QOLTotal) following normal distribution. |