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1971 articles for “advancements” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Study of Algebraic Structures in Discrete Mathematics and Its Applications
Abstract: Algebraic structures such as groups, rings, fields, semi groups, and lattices form the foundational framework of discrete mathematics. These structures are defined by specific sets and operations that follow algebraic laws, enabling a systematic approach to problem-solving in various domains. This paper explores the theoretical principles of these algebraic systems and highlights their vital role in computer science, cryptography, automata theory, coding theory, and software engineering. By examining their properties …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 1, 2025 · pp. 35–40 Read article
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QSAR Modeling Techniques: A Comprehensive Review of Tools and Best Practices
Abstract: Quantitative Structure–Activity Relationship (QSAR) modeling has become an essential tool in drug discovery, toxicity assessment, and environmental chemistry. By correlating chemical structure with biological activity or toxicity, QSAR enables the prediction of compound behavior without extensive experimental testing. This approach not only saves time and resources but also supports ethical practices by reducing reliance on animal studies. The evolution of QSAR from basic linear models to advanced machine learning and …
Published in International Journal of Cheminformatics · Vol. 3, Issue 1, 2025 · pp. 56–63 Read article
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Preparation of Transparent and Thermal Resistant Zirconia Reinforced Epoxy Based Polymer Matrix Composite Coatings
Abstract: This study investigates the thermal stability, structural characteristics, optical transparency, and surface wettability of epoxy-based composite coatings reinforced with 2 wt.% zirconia (ZrO₂) nanoparticles. The composite coatings were synthesized using a dip-coating technique on carbon fiber substrates and subsequently subjected to thermal treatments at 300 °C, 400 °C, and 500 °C. Structural analysis using X-ray diffraction (XRD) confirmed the amorphous nature of the epoxy matrix with no significant crystallization or …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 171–177 Read article
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Role of Artificial Intelligence in Health Care Decision Making: Balancing Innovation and Caution
Abstract: Healthcare is undergoing a transformation powered by artificial intelligence, which improves monitoring, diagnosis, and treatment capabilities. Among Artificial Intelligence (AI's) shortcomings is the dearth of an emotional relationship between individuals and medical personnel. Robotic surgery procedures pose the possibility of malfunctioning machinery and mistaken assumptions. So, the present systematic review focused on exploring the boon and bane of the role of AI in predicting various abnormalities in advance to improve …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 24–35 Read article
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Library Development: Transition from Traditional to Artificial Data
Abstract: Presently, conventional libraries, although using information tools, are encountering difficulties in effectively managing books. Traditional libraries must embrace innovation and adapt to the AI society in this technological age. Internet-of-things (IoT) technologies have the capability to collect data in real-time. By implementing business process re-engineering, it is possible to improve and optimize certain procedures. Implementing an AI library management system that incorporates IoT and automates the fundamental operations of a …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 1, 2025 · pp. 33–39 Read article
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Unveiling the Veil of Black Money Understanding Its Impact on Economic Stability and Policy Formulation in India
Abstract: The issue of black money has emerged as a critical concern for India, undermining economic stability and challenging the effectiveness of policy formulation. Black money, generated through unaccounted income and tax evasion, exerts a detrimental influence on multiple facets of the economy, including resource allocation, income distribution, and public trust in governance. This study examines the multifaceted impact of black money on India’s economic framework, highlighting its role in distorting …
Published in Recent Trends in Social Studies · Vol. 2, Issue 2, 2025 · pp. 1–10 Read article
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Juncture of Nanotechnology and IoT: Novel Era of Connectivity
Abstract: The rapid development of Internet of Things(IoT) has had a profound impact on a variety of industries, enabling unprecedented levels of connectivity and data interchange between devices. Through the introduction of nanotechnology into IoT systems, there are unique prospects to improve performance, decrease energy consumption, and miniaturise components, which ultimately overlays the method for the progress of smart gadgets of the next generation. Through an analysis of significant developments in …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 3, 2025 Read article
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VLSI Based Traffic Light Controller
Abstract: This study details the development and realization of an advanced traffic light control system utilizing VHDL (Very High-Speed Integrated Circuit Hardware Description Language) in conjunction with FPGA (Field Programmable Gate Array) technology. The system is designed to regulate a four-way intersection, with one primary high-traffic road intersecting with a less congested side road. To enhance traffic efficiency and minimize idle times, the model incorporates intelligent features such as a vehicle …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 2, 2025 · pp. 40–47 Read article
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Neurodevelopmental Effects of Cell Tower Radiation in Children: A Longitudinal Study
Abstract: This study investigates the impact of radiation exposure from cell phone towers on the neurodevelopmental outcomes of children aged 0–5 years. A prospective cohort approach was employed to assess key developmental parameters, including Gross Motor Skills, Fine Motor Skills, and sleep disorders. Given the increasing presence of wireless communication infrastructure, understanding its potential effects on early childhood development is crucial for public health.To analyze the collected data, advanced machine learning …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 2, 2025 Read article
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A Python-Based Investigation of Clinical Data and Ultrasound Images for PCOS Diagnosis
Abstract: PCOS is a common endocrine disorder that impacts women in their reproductive years characterized by irregular menstrual cycles, hyperandrogenism, and polycystic ovaries. The full diagnostic plan is mainly a combination of a pelvic ultrasound besides blood tests of specific parameters that indicate the presence of PCOS. Since PCOS is a hard-to-diagnose widespread hormonal disorder, blood tests, symptoms, and other parameters with the help of a computer can form a new …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 2, 2025 Read article
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Viscoelastic Behavior and Wrinkle Formation in Cotton- Polyester Garments: A Data-Driven Approach for Textile Care
Abstract: This study investigates the wrinkle behavior of cotton-polyester blended fabrics by analyzing data from over 1,200 store-handled garments. Integrating concepts from polymer chemistry and computer vision, it aims to establish a smart textile care framework based on fiber-specific wrinkle characteristics. The research identifies how cotton’s hydrophilic and non-elastic structure results in increased wrinkling, while polyester’s thermoplastic and crystalline properties enhance wrinkle resistance. Elastomeric fibers like Lycra contribute to wrinkle recovery …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 50–60 Read article
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A Combined ECG and PPG Signal Powered Artificial Intelligence-Based Prediction Model for Stroke
Abstract: Stroke is one of the most common causes of morbidity and mortality around the world, and emphasis on prevention and early detection strategies cannot be overstated. This review aims to integrate techniques of artificial intelligence with electrocardiogram and photoplethysmogram signals to enhance stroke prediction and monitoring of cardiovascular health. All in all, the application of artificial intelligence that incorporates machine learning, deep learning, or hybrid models gives robust tools toward …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 18–26 Read article
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Design and Development of a Sanitary Napkin Incinerator
Abstract: Improper disposal of menstrual waste presents serious health and environmental risks, especially in rural areas with limited access to proper sanitation and waste management systems. Without adequate facilities, used menstrual products are often discarded in open spaces, water bodies, or burned, leading to pollution, foul odors, and the spread of infections. The lack of awareness, infrastructure, and stigma surrounding menstruation further worsens the issue, making it crucial to promote safe, …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 15, Issue 2, 2025 · pp. 19–31 Read article
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A Brief Review on Herbal Excipients
Abstract: Natural or herbal excipients are significantly more advantageous than their synthetic equivalents because they are readily available, non-toxic, and less expensive. The pharmaceutical industries are becoming more interested in using these herbal excipients – mainly polymers of natural origin – in formulation development because of growing knowledge of them. The purpose of this study is to provide light on the possibility of using natural excipients, which are biocompatible and able …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 12, Issue 2, 2025 · pp. 5–14 Read article
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The Role of Gut Microbiota in the Health Effects of Fermented Dairy Products
Abstract: The human gut microbiota plays a crucial role in maintaining physiological health, influencing digestion, metabolism, immune function, and even mental well-being. Among dietary interventions aimed at modulating gut microbiota, fermented dairy products have emerged as particularly promising due to their rich content of live microorganisms, bioactive compounds, and nutrients. This review explores the intricate interactions between fermented dairy products and the gut microbiota, highlighting their potential health benefits and underlying …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 2, 2025 · pp. 5–10 Read article
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Metal Nanoparticle: Synthesis, Properties, and Their Dermatological and Cosmetic Impacts
Abstract: Nanoparticles (NPs) are materials with dimensions under 100 nm and various shapes, such as spheres and rods. Their advancement offers transformative potential in medical and healthcare fields. The increased application of NPs across molecular biology, chemistry, medicine, and material science reflects their growing importance. Due to their large surface area, NPs enhance substance delivery through the skin, benefiting cosmetic applications by improving penetration, efficacy, and targeted delivery of active ingredients.With …
Published in Recent Trends in Cosmetics · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Nanoelectronics Based on Carbon Nanotubes
Abstract: Nanoelectronics, the study and application of electronic components and systems at the nanometer scale, plays a pivotal role in advancing modern technology toward faster, smaller, and more energy-efficient devices. Among the various nanomaterials explored for these applications, carbon nanotubes (CNTs) have emerged as one of the most promising candidates due to their exceptional electrical conductivity, mechanical strength, and thermal stability. This project report presents an in-depth exploration of the role …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 3, 2025 · pp. 40–53 Read article
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ML-Based Predictive Modeling of Mechanical Properties in 3D-Printed Polymer Composites for IoT Applications
Abstract: This study aims to develop an interpretable and high-accuracy machine learning framework for predicting the mechanical properties of 3D-printed fiber-reinforced polymer composites, with a focus on structure–property correlations relevant to polymer processing and functional performance. Composite specimens based on PLA and ABS matrices were fabricated using FDM with varying weight fractions (5–20 wt%) of carbon and glass fibers. Standardized mechanical testing (ASTM D638, D256, D790) was performed to evaluate tensile …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 61–78 Read article
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Role of Machine Learning Principles for Efficient Nuclear Fuel Management and Design
Abstract: The introduction of machine learning (ML) and evolutionary computation methods in addressing complex nuclear fuel management challenges has brought a significant positive change in the domain of nuclear fuel management. Key applications include fuel assembly design optimization, core loading pattern determination, burnup calculation acceleration, fuel performance prediction, and spent fuel characterization. The analysis reveals significant improvements in computational efficiency, prediction accuracy, and optimization capabilities when ML techniques are properly integrated …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 22–33 Read article
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Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitates the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article