Search
316 articles for “traditional roles”
-
AI Application in the Creation of Medications for COPD
Abstract: The crippling lung condition known as chronic obstructive pulmonary disease (COPD) is typified by a continuous restriction of airflow, which results in increased respiratory dysfunction and a reduced quality of life. The rising incidence of COPD worldwide emphasizes the pressing need for innovative pharmaceutical approaches to address the illness. Even though COPD care has advanced significantly, most current medications concentrate on symptom relief rather than disease change. This gap in …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 01–05 Read article
-
Continuous Learning in Language Models: A Survey of Streaming Data Processing Techniques
Abstract: The integration of continual learning with Large Language Models (LLMs) and Natural Language Processing (NLP) represents a transformative step toward creating adaptive, intelligent systems capable of functioning effectively in ever-changing environments. Traditional LLMs are typically trained on large, pre-collected datasets, which limits their ability to evolve as new information emerges. Continual learning, in contrast, enables models to acquire new knowledge incrementally without the need for complete retraining, thereby supporting long-term …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 23–34 Read article
-
Enhancing Facial Recognition: Assessing CNNs for Detecting Image Manipulation
Abstract: Deepfake technology, powered by highly advanced deep learning models, has raised significant concerns regarding media manipulation, identity theft, and the spread of online disinformation. Due to the increasing sophistication of deepfake content, traditional forensic methods often fail to detect such artificially generated images with high accuracy. Consequently, deep learning-based approaches have become essential in combating this challenge. This study compares six prominent deep learning architectures: VGG16, ResNet50, MobileNetV2, InceptionV3, EfficientNetB0, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 27–36 Read article
-
The Role of Natural Products in Antiviral Drug Discovery: Insights into Mechanisms and Therapeutic Potential
Abstract: Drug discovery has always relied heavily on natural sources, especially when it comes to creating antiviral medications. This review explores the therapeutic potential of various natural products, including plant extracts, marine compounds, and microbial metabolites, in the fight against viral infections. We examine the mechanisms of action by which these natural compounds exert their antiviral effects, including direct inhibition of viral replication, modulation of host immune responses, and interference with …
Published in International Journal of Virus Studies · Vol. 1, Issue 2, 2024 · pp. 36–47 Read article
-
Comprehensive Analysis of Counting by Sorting
Abstract: Sorting algorithms play an important role in computer science, as they facilitate the effective organization and retrieval of data. Counting sort is a non-comparative integer sorting algorithm that works well with a limited number of integers known beforehand. The process, advantages, and limitations of this sorting algorithm were investigated in this study. Unlike other comparison-based sorting algorithms, counting sort achieves a time complexity of O(n+k), which depends on the input …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 2, 2024 · pp. 1–6 Read article
-
Vaccines Through Time: Conventional Foundations and Next-Gen Innovations–Part 1
Abstract: Vaccination serves as a critical pillar of global public health, markedly decreasing infection rates and associated mortality. Traditional vaccine platforms such as live attenuated, inactivated, toxoid, and subunit vaccines have demonstrated effectiveness against pathogens like Mycobacterium tuberculosis and Plasmodium spp., yet they are constrained by antigenic variability, limited immune persistence, and complex production processes. Breakthroughs in synthetic biology, structural antigen design, and computational vaccinology have driven the development of advanced …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 1, 2026 · pp. 53–70 Read article
-
Representation of Post-colonial Sensibility in Chinua Achebe’s “Things Fall Apart”
Abstract: The study focuses on the post-colonial aspects of Chinua Achebe‘s famous work “Things Fall Apart.” The story develops as a delicate analysis of the colonial encounter, revealing insights into its profound effect on Igbo society in the backdrop of British colonization in Nigeria. The research navigates the intricate web of post-colonial issues such as cultural clash, identity negotiation, and resistance. Achebe‘s depiction of Igbo traditions serves as a lens through …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 1, 2024 · pp. 45–49 Read article
-
Optimization of V/F Control in Asynchronous Motors Using Adaptive Bee Colony Optimization
Abstract: : Asynchronous motors play a pivotal role in various industrial applications, utilizing electromagnetic induction to convert electrical energy into mechanical energy. This paper provides an in-depth exploration of their design principles, focusing on the rotor, stator, and coil configurations. Induction motors are categorized into single-phase and three-phase types, each suited to different power supply configurations and operational requirements. The study outlines a comprehensive methodology for modeling and simulating induction motor …
Published in Trends in Electrical Engineering · Vol. 14, Issue 2, 2024 · pp. 67–86 Read article
-
The Impact of Artificial Intelligence on the Sales and Marketing of Pharmaceutical Products
Abstract: The rapid development of computing and technology has permeated all branches of science, with artificial intelligence (AI) emerging as a pivotal field in computer science. AI has significantly influenced disciplines ranging from basic engineering to pharmaceuticals. In healthcare and medicinal chemistry, AI applications have become indispensable. Traditional drug discovery approaches are gradually being overtaken by computer-aided drug design. In recent years, artificial intelligence (AI) and machine learning (ML) have become …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 1, 2025 · pp. 10–18 Read article
-
The Economic Importance of Art and Craft: Men as Artisans at Ranchi Cluster in Jharkhand State
Abstract: There is an inseparable relationship between Art, culture and civilization in India. As man Gradually developed, art also kept on developing along with his civilization. Be it the civilization of any country. Its emergence has been the result of human imagination. Art has always had a significant historical significance, transcended cultural borders and acted as a monument to humanity's inventiveness and imagination. Artists have risen throughout history as guardians of …
Published in Recent Trends in Social Studies · Vol. 1, Issue 2, 2024 · pp. 47–56 Read article
-
Lung Cancer Detection and Classification Using Deep Learning
Abstract: Lung cancer is a disease that can be effectively treated if detected early. Various technologies, such as magnetic resonance imaging, isotopes, X-rays, and computed tomography scans, are employed for diagnosis. One of the most crucial strategies in combating cancer is early detection, which greatly enhances a patient’s likelihood of survival; this is where artificial intelligence plays a significant role. The approach proposed in this study leverages historical medical data to …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 3, 2024 · pp. 11–17 Read article
-
Life Cycle Assessment (LCA): A Tool for Sustainable Development and Environmental Management of Products
Abstract: Life cycle assessment (LCA) is a crucial technique for clearly understanding how much room there is for product improvement in a given good or service. Because of its high cost and application in eco-design, supply chain management, green buying, sustainable investing, and other relevant activities, manual data engineering and analysis processes. Traditional LCA methodologies and technology may need more scalability regarding substantial product portfolios and expanding reporting requirements. The Sustainability …
Published in International Journal of Industrial and Product Design Engineering · Vol. 1, Issue 2, 2023 · pp. 16–25 Read article
-
Flame-Retardant Polymeric Materials: Recent Advances and Future Directions
Abstract: This review explores essential flame-retardant polymers that play a vital role in various industries such as electrical & electronics, automobile, manufacturing, and firefighting. This review also highlights the latest progress in the design and synthesis of flame-retardant polymers, highlighting novel approaches such as the incorporation of nanomaterials, bio-based flame retardants, and the use of intumescent systems. Recent advancements include high-throughput screening, computational design, bio-based and sustainable flame retardants, self-healing materials, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 125–132 Read article
-
Machine Learning for Soil Moisture Detection: Introduction, Approaches and Challenges
Abstract: The demand for agricultural is increasing day by day as the population of the world is increasing. So, it becomes necessary for us to increase the production of agricultural products. Traditional ways of agriculture cannot meet such requirements. Nowadays, machine learning based technologies are being used to develop models for agriculture. Machine learning-based applications are very fast and produce high-quality results. It includes recurrent neural networks (RNN), convolution neural networks …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 88–96 Read article
-
Revolutionizing Drug Delivery: Recent Advances in Pharmaceutical Dosage Forms
Abstract: Recent advances in pharmaceutical dosage forms revolutionize drug delivery, prioritizing targeted therapy and patient well-being. Enhanced drug carriers address complex medical challenges, from high-grade gliomas to ocular drug delivery, maximizing therapeutic efficacy while minimizing adverse effects. Traditional dosage forms like tablets and capsules undergo meticulous formulation and manufacturing processes, integrating Quality by Design principles for consistent product quality. Liquid formulations encounter stability challenges, necessitating rigorous stability testing and pH monitoring. …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 77–89 Read article
-
Biobased Composite Materials for Sustainability
Abstract: Due to increasing demand for sustainable materials in various industrial sectors has directed a significant interest in biobased composite materials. Biobased materials, derived from biological resources, offer a promising substitute as compared to conventional composites that rely greatly on fossil fuels. This paper explores the advanced applications of biobased composites across various sectors such as automotive, construction, packaging etc., emphasising their potential to reduce environmental impact while maintaining the standard …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 163–170 Read article
-
From High-Resolution Optics to High-Bandwidth Telemetry: The Evolution of Deep-Space Imaging Satellites
Abstract: The development of deep space imaging satellites has significantly enhanced satellite communication and space exploration capabilities. Earlier satellite systems relied on low-resolution imaging and conventional radio-frequency (RF) communication, which limited data transmission rates and image quality. With advancements in technology, modern satellites are equipped with high-resolution optical systems capable of capturing detailed images of celestial bodies. Furthermore, the introduction of high-bandwidth telemetry systems, such as Ka- band and optical (laser) …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 1, 2026 · pp. 34–40 Read article
-
STRUCTURAL–EPIGENOMIC ATLAS: CNV/SV- DRIVEN PROGNOSTIC REFINEMENT ACROSS CANCERS
Abstract: Structural genomic alterations, including copy number variations (CNVs) and structural variants (SVs), play a central role in cancer initiation and progression. These alterations extend beyond gene dosage effects and interact dynamically with epigenomic mechanisms such as DNA methylation, histone modifications, and three-dimensional chromatin organization. Recent pan-cancer studies have demonstrated that CNV burden and SV signatures reflect key oncogenic processes including chromothripsis, homologous recombination deficiency, enhancer hijacking, and extrachromosomal DNA (ecDNA) …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 Read article
-
Transforming Waste into Value: The Role of Discarded Waste in Sustainable Paver Block Production
Abstract: Concrete is the primary material used in building construction, but significant waste is generated during the demolition of structures. The increasing activities in the construction sector and manufacturing industries have led to a rise in waste production. This review paper explores the potential of utilizing Construction and Demolition (C&D) waste in the production of sustainable paver blocks, addressing the pressing environmental challenge of the estimated 12-14 million tonnes of construction …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 1–15 Read article
-
Remote Sensing in Atmospheric Studies: Enhancing Understanding of Climate Dynamics and Air Quality, Atmospheric Monitoring and Analysis; Emerging Technologies and Future Directions
Abstract: Remote sensing has emerged as a transformative tool in atmospheric sciences, providing detailed and comprehensive insights into various atmospheric phenomena. Its advanced capabilities have revolutionized our understanding of climate dynamics, air quality, and atmospheric composition, enabling more accurate monitoring and analysis. This paper reviews the critical role of remote sensing technologies in enhancing knowledge of atmospheric processes and their practical applications in areas such as climate change monitoring, air pollution …
Published in International Journal of Atmosphere · Vol. 2, Issue 1, 2025 · pp. 1–5 Read article