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527 articles for “General”
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Vaccine Acceptability among Healthcare Workers and Employees of St. Luke’s Medical Center – Quezon City Philippines: A Descriptive Study
Abstract: There are numerous studies and pieces of literature on the growing acceptance and hesitancy in receiving vaccines despite their crucial role in combating epidemics and pandemics. Healthcare workers are frontline workers in public health emergencies; thus, their acceptance of vaccines is critical to mitigating infectious diseases. Nevertheless, while vaccines were known to protect against the virus, vaccine acceptability remains understudied. This study aimed to evaluate the level of vaccine acceptance …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 Read article
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Automation and new mechanical technologies changing the next industrial age
Abstract: The fast growth of automation and new mechanical technologies is changing the way industries work, making manufacturing and production systems more efficient, accurate, and flexible than ever before. This article looks at how sophisticated mechanical design, robotics, and intelligent automation technologies can work together and how they can improve productivity, lower costs, and make operations more sustainable. To show how mechanical engineers are influencing the next industrial era, we look …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 18–23 Read article
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Pulmonary Effects of Cement Exposure in Construction Workers Correlating Lung Function Parameters with Workplace Hygiene
Abstract: Construction workers are routinely exposed to cement dust, a recognized occupational hazard known to adversely affect respiratory health. This study investigates the pulmonary effects of cement exposure in construction workers by evaluating lung function parameters and examining the role of workplace hygiene practices. A cross-sectional analysis was conducted on a sample of construction workers with varying durations of exposure to cement dust. Spirometric assessments, including forced vital capacity (FVC), forced …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 3, 2025 · pp. 13–19 Read article
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5-Methyl-2-phenyl-2,4-dihydro-3H-pyrazol-4-one: Synthesis and Reactions
Abstract: The presence of the five-member pyrazole nucleus in different structures leads to a large diversity in its applications. In almost every research study, the pyrazole derivatives biological importance faces a competitive challenge in areas of technology, medicine and agriculture. This reflects the description of these derivatives as antibacterial, antifungal, anticancer, antidepressant, anti-inflammatory, anti-tuberculosis, antioxidant as well as antiviral agents. In our review, we will discuss and show the highlights of …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 3, 2025 Read article
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The Future of Robotics: A Review of AI-Enabled Robotics Research, Development, and Applications
Abstract: Robotics powered by artificial intelligence (AI) is transforming contemporary industries by empowering machines to learn, adapt, and operate on their own in intricate, changing contexts. The breadth and capabilities of automation have been greatly expanded by the convergence of AI technologies with robots, including machine learning, deep learning, computer vision, and natural language processing (NLP). With an emphasis on technological advancements, application areas, and research advances, this study examines current …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 33–38 Read article
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AI-Based Intelligent Traffic Signal Management System: A Review
Abstract: Traffic congestion is a growing problem in urban areas worldwide, leading to economic losses, increased pollution, and commuter frustration. Traditional traffic management systems rely on fixed timing cycles and lack adaptability to real-time traffic conditions. Intelligent traffic light control systems based on artificial intelligence (AI) have become a viable substitute for traditional techniques. These systems are able to evaluate large volumes of traffic data in real time, identify patterns, and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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Digital Growth and Natural Decline: Investigating the Tech-Nature Paradox
Abstract: This paper critically examines the ideology and multifaceted impact of technology on the environment, highlighting both the detrimental consequences and the transformative potential of technological advancement. Technology, generally defined as the application of scientific knowledge for practical human purposes, has dramatically reshaped every aspect of modern life, including communication, healthcare, education, transportation, and industry. While these developments have enhanced the standard of living, they have also contributed significantly to environmental …
Published in Research & Reviews : Journal of Ecology · Vol. 14, Issue 3, 2025 · pp. 6–11 Read article
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A Theoretical Model for a Fermi–Boson Hybrid Particle in Nuclear and Particle Physics
Abstract: We present a theoretical model for a Fermi–Boson Hybrid Particle (FBHP) that unifies fermionic half-integer spin matter fields with bosonic integer-spin force fields within a single quantum framework. By extending conventional quantum field theory, a hybrid creation operator is formulated that combines fermionic and bosonic operators through a continuous mixing parameter, allowing smooth interpolation between Fermi–Dirac and Bose–Einstein statistical behaviour. A generalized statistical mechanics formalism is developed, leading to quantitative …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 10–18 Read article
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Early Alzheimer's Disease Detection Using Deep Ensemble Learning and MRI Image Analysis
Abstract: Early detection of Alzheimer's disease (AD) is crucial to slowing cognitive decline and enabling timely clinical interventions. Traditional diagnostic methods, including cognitive tests and single-model classifiers, have limited sensitivity during early stages of the disease. This paper presents a deep ensemble learning approach that integrates multiple convolutional neural networks (CNNs) for accurate Alzheimer's disease detection using structural Magnetic Resonance Imaging (MRI) data. The proposed framework utilizes ResNet50, VGG16, and DenseNet121 …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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SpecForesight: A Predictive Analytics Pipeline for Laptop Price Forecasting
Abstract: This paper frames laptop pricing as a supervised predictive analytics problem, transforming product specifications into feature-rich signals to forecast price with calibrated regression models and operational guardrails against drift. A structured pipeline ingests tabular listings, performs data cleaning, and engineers domain-informed features (e.g., central processing unit (CPU) family and clocks, graphics processing unit (GPU) tiering, memory/storage density, display, and touch capabilities), followed by encoding and normalization to optimize model learnability. …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 61–71 Read article
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Stability-Indicating Rp-Hplc Development and Validation for the Estimation of Lercanidipine Hydrochloride Content in Tablet Dosage Form
Abstract: A sensitive, stability-revealing, and easy reverse-phase high-performance liquid chromatographic (RP-HPLC) technique was developed and rationalized to be in a position to determine Lercanidipine hydrochloride in ingested dosing preparations. It was separated by chromatography on a C 18 column using a mobile phase containing 10 mM potassium dihydrogen phosphate buffer and methanol (20:80, v/v; pH 4.0) at a flow rate of 1.0 mL/min and UV detected at 258 nm. The retention …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 1, 2026 · pp. 17–26 Read article
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Lab Reagents and Their Importance in Bio-chemistry
Abstract: Biochemical reagents are essential substances in the study of life at the molecular level. These reagents help scientists detect, identify, and quantify bio-molecules such as proteins, carbohydrates, nucleic acids, and enzymes in biological systems. They play a vital role in understanding metabolic reactions and physiological processes within living organisms. Biochemical reagents are generally classified into analytical, diagnostic, enzymatic, chromogenic, and buffer reagents, each serving a specific purpose in laboratory and …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 Read article
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Greener 3D Printing: The Role of Artificial Intelligence in Sustainable Polymer and Composite Manufacturing
Abstract: The integration of sustainable materials with additive manufacturing (AM) technologies marks a significant step towards environmentally responsible production. Biodegradable polymers, recycled thermoplastics, and bio-based composites, when used in 3D printing, offer the potential to reduce the ecological footprint of manufacturing. However optimizing the interplay between material properties process parameters, and product performance remains a complex challenge. This review examines how artificial intelligence (AI) is being applied to address these challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 288–300 Read article
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Experimental Validation and Implementation Framework for Optimized Methane Yield Prediction in Anaerobic Digestion
Abstract: The correct validation and realistic application of optimized anaerobic digestion (AD) models are essential steps in transferring biogas production systems to real-life. This paper outlines an experimental validation and deployment pipeline of an AI-optimized model of the methane yield prediction model based on the application of more advanced machine learning and Bayesian optimization methods. Others The validated surrogate-assisted optimization model was tested with controlled laboratory-scale AD experiments at optimized operating …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
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Unification and DC Conductivity of PDMS/NiNPs Nanocomposite
Abstract: The DC conductivity of nickel nanoparticles–polydimethylsiloxane (NiNPs–PDMS) composite materials has attracted considerable attention due to their promising applications in flexible electronics, sensors, and energy storage devices. The electrical performance of these composites is largely governed by the formation of conductive networks within the insulating polymer matrix. Incorporating nickel nanoparticles into PDMS introduces conductive pathways that significantly enhance DC conductivity once a critical percolation threshold is reached.Several key factors influence the …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 1, 2026 Read article
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Combining Unstructured and Structured Clinical Data in a Hybrid Transformer Model to Enhance Cardiovascular Analytics and Clinical Decision- Making
Abstract: Since cardiovascular disease (CVD) continues to be a major global cause of morbidity and mortality, early and accurate risk prediction is essential for prompt intervention and individualized treatment. This study introduces a new hybrid transformer-based model that combines unstructured clinical narratives, structured data, and customized lifestyle characteristics. A comprehensive understanding of disease progression is made possible by the model's ability to capture contextual, temporal, and patient- specific insights through the …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 · pp. 30–37 Read article
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A Review of Electrification Trends in Agricultural Tractors: New Developments, Difficulties, and Opportunities
Abstract: A farmer is constantly searching for methods to make farming easier and use less money or labor. The main factor contributing to the high cost of farming is the use of tractors. Tractors are more expensive due to their high fuel consumption. But technology has intervened and provided an answer. The electrical engineering world’s idea to switch from fuel to DC batteries has made electric tractors more accessible and reliable …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 17–23 Read article
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Exploring the Impact of Process Parameters on 3D Printing: A Comprehensive Review for Enhanced Product Quality
Abstract: Rapid developments in 3D printing technology have dramatically changed a wide range of industries, from consumer products and healthcare to automotive and aerospace. 3D printing is a process of manufacturing where material is deposited layer over layer which are previously deposited to provide the design shape to the desired products. This process has eliminated the numerous machining processes which were required to manufacture the products previously. The modification of process …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 975–996 Read article
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Studying the effects of Exposure to Chemicals on The brain and Nervous System and The risk of Chemical Pollution
Abstract: Scientific research and studies on chemical pollution show that exposure of the brain and nervous system to chemicals causes serious damage ranging from cognitive, motor, and nerve cell disorders to chronic diseases such as Alzheimer's and neurological paralysis. These substances (such as lead ions, mercury, solvents that combine and dissolve easily in the blood, and pesticides) disrupt neurotransmitters and cause cell damage, especially during the early stages of body development. …
Published in International Journal of Brain Sciences · Vol. 3, Issue 1, 2026 Read article
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AI-Based Machine Learning Web Application Firewall (ML-WAF)
Abstract: This research investigates the use of deep learning techniques for the real-time detection of malicious activities in web traffic and proposes an intelligent, AI-driven Web Application Firewall (WAF) designed to provide automated and adaptive security. The system analyzes diverse components of HTTP requests, including request methods, URLs, headers, cookies, and payload content, to accurately identify and classify malicious behavior. The proposed model targets a wide range of common and critical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article