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1385 articles for “tradition”
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Real-Time Language Translation Application Using Tkinter
Abstract: This application, “Real Time Language Translation Application Using Tkinter”, was created to develop a friendly tool by which users can instantaneously translate text from one language to another. Built using Python and the Tkinter library, it uses the integration of the Google Translate API to deliver an accurate translation with context while relying on Natural Language Processing technology through the system for Google’s Neural Machine Translation. The GUI developed with …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 26–32 Read article
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Improve Power Quality in Photovoltaic and Wind Energy Systems Through the Utilization of DSTATCOM
Abstract: This paper explores the power quality challenges faced by distributed generation systems that are powered by renewable energy sources, e.g., wind and solar. It provides an in-depth examination of these power quality issues, starting with an overview and examination of basic standards. The research also explores power quality in power systems, specifically those connected to the electrical grid and renewable energy sources. It gives a comprehensive discussion of power quality …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 33–44 Read article
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A Review on Predicting Wear and Friction of PTFE Composites - Fillers to Machine Learning Models
Abstract: Polytetrafluoroethylene (PTFE) composites, a self-lubricating material with low friction, became an indispensable material in engineering applications where load carrying capacity and wear are crucial. The pure PTFE has poor mechanical strength and wear resistance which can be enhanced by the addition of fillers in appropriate volume fraction. The wear performance is dependent on various factors such as fillers, operating parameters, environmental conditions as well as manufacturing attributes. This makes the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 114–128 Read article
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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
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A Comprehensive Study on Improving Contact Lens Performance Through Various Approaches
Abstract: Contact lenses improve vision quality by correcting refractive errors and thus provide a convenient alternative to traditional eyeglasses. Apart from vision enhancement, they have multiple applications in cosmetics, drug delivery, and therapeutic use. The performance of these lenses depends on various factors such as material, design, fitting, and interaction between the lens and the eye. The selection of appropriate materials is crucial for maintaining optimal eye health. Properties like oxygen …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 211–222 Read article
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AI-based Drug Discovery-Revolutionizing Pharmaceutical Research
Abstract: The traditional drug discovery process is often costly, time-consuming, and prone to high failure rates. The advent of Artificial Intelligence (AI) has revolutionized this field by significantly enhancing efficiency, reducing costs, and improving success rates. AI-driven approaches, including machine learning (ML), deep learning (DL), and natural language processing (NLP), have transformed key areas such as drug target identification, molecular screening, lead optimization, and clinical trial design. AI models can analyze …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 30–44 Read article
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The Rising Burden of Heart Attacks: Causes, Trends, and Prevention Strategies
Abstract: Heart attacks, or myocardial infarctions, remain a leading cause of morbidity and mortality worldwide, with their incidence rising steadily across diverse populations. This review explores the increasing prevalence of heart attacks, emphasizing traditional risk factors, such as poor diet, physical inactivity, smoking, and medical conditions like hypertension, diabetes, and hyperlipidemia. It also highlights emerging risk factors, such as chronic infections, pollutants, substance abuse, and the lasting cardiovascular effects of COVID-19. …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 2, 2025 · pp. 1–11 Read article
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Role of Dermabrasion Assisted Tangential Excision in Paediatric Electrical Burn Wounds
Abstract: Early removal of necrotic tissue in deep electrical burns by tangential excision decreases scarring and promotes wound healing. Dermabrasion, traditionally used in dermatology for facial resurfacing and scar treatment, has shown promising results when applied to burn wound management. In burn care, dermabrasion serves as a form of blunt debridement, effectively removing superficial necrotic tissue without damaging underlying healthy structures. This technique helps reduce local inflammation and lowers the likelihood …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 2, 2025 Read article
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GreenDiagnosis: Intelligent Crop Disease Detection Using Deep Learning Algorithm
Abstract: Agriculture in parts of India relies on labour-intensive traditions, maintaining disease-free crops is crucial. Manual methods can be inaccurate, driving farmers towards AI-based solutions. AI offers a proactive approach to address real-time farming challenges. Among these is the invasion of pests, which diminishes crop quality. Combating pest-related diseases poses a challenge, prompting innovation. Effective surveillance and early detection of crop diseases play a pivotal role in ensuring global food security …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
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AI-Based Preventive Healthcare Using Quantum Computing
Abstract: With its improved performance and capabilities, quantum machine learning (QML) is becoming a promising field, especially in the healthcare industry for tasks like early heart disease prediction. In this work, a Quantum Support Vector Classifier (QSVC) is proposed as the basic classifier for a bagging ensemble learning model. Shapley Additive explanations (SHAP) are used to evaluate the significance of each attribute in the predictions in order to improve explainability. Using …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 Read article
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Optimizing Sampling Techniques Using Fuzzy Set Theory: A Comprehensive Approach
Abstract: Sampling is a critical process in statistics, used to estimate population parameters without needing to examine the entire population. Traditional sampling methods, such as simple random sampling, stratified sampling, and cluster sampling, face limitations when applied to complex or heterogeneous populations with imprecise boundaries. These methods often fail to accurately represent populations with overlapping characteristics or missing data, resulting in sampling bias and reduced accuracy. To address these challenges, this …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 29–43 Read article
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Animal Detection in Farms Using Opencv
Abstract: Agriculture plays a fundamental role in sustaining the Indian economy, providing employment and livelihood to a large portion of the population. Despite advancements in farming techniques, one of the persistent challenges faced by farmers is the intrusion of wild animals into agricultural fields. Such intrusions often lead to large-scale crop damage, financial loss, and emotional distress for farmers. Traditional animal deterrent methods, such as manual patrolling, fences, or scarecrows, have …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 Read article
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Polymer Chemistry and Composite Materials in Advanced Dental Flask Design
Abstract: This paper explores the role of polymer chemistry and composite materials in the development of a novel dental flask, emphasizing the advantages of polymer-based materials in dental prosthetic processing. Traditional dental flasks, often made from metals such as brass or stainless steel, are prone to issues like corrosion, dimensional instability, and wear over time. By incorporating advanced polymer composites, including chromium-coated materials, the novel dental flask offers enhanced durability, improved …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 158–165 Read article
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Microsphere and Nanoparticle Drug Delivery Systems: Role of Polymers in Pharmacology
Abstract: Microsphere and nanoscale drug delivery methods have changed the field of pharmacology by making treatment agents more bioavailable, more targeted, and easier to manage. These delivery systems, which are mostly made up of polymers, look like a good way to get around the problems that traditional drug formulations have, like not dissolving well, clearing quickly, and spreading in different places. Plastics are very important in the creation of these improved …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 420–432 Read article
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Modeling Dispersed Count Data: Evaluating the Conway–Maxwell–Poisson Regression with COVID-19 Mortality Data
Abstract: Count data are prevalent in diverse fields such as biology, healthcare, psychology, and marketing, characterized by non-negativity and inherent heteroskedasticity, often exhibiting overdispersion or underdispersion. Traditional Poisson regression, which assumes equal mean and variance, is inadequate for such dispersed data. To address this, various generalized linear models (GLMs) and their extensions, including negative binomial (NB) and Conway–Maxwell–Poisson (CMP) regressions, are utilized. This study evaluates the performance of CMP regression compared …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 18–26 Read article
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Advanced Polymer-Based Packaging Composite with Metal Oxide Nanofillers: Synthesis, Characterization, and Applications
Abstract: The development of high-performance polymeric composites for food packaging applications has gained significant attention in recent years due to increasing concerns about food safety, durability, and environmental impact. The increasing demand for active packaging materials that not only protect food but also extend shelf life has led to extensive research into polymer-based antimicrobial composites. Traditional packaging materials, including plastics, ceramics, and metals, often lack bioactive properties and can contribute to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 56–63 Read article
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Advances in Polymer Chemistry for Zinc Oxide Nanoparticle-Based Composites in Moisture Sensing Applications
Abstract: In present scenario the application of Polymer chemistry is various domain. It is used in sensing the moisture. This paper explores the synthesis and application of zinc oxide nanoparticles (ZnO-NP) deposited on polymer-based hygroscopic substrates to enhance the dielectric properties of capacitive sensors. The novel composite material, comprising ZnO-NP and cellulose-based substrates, offers superior moisture sensitivity, stability, and cost-effectiveness compared to conventional sensing materials. The synthesis process involves the controlled …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 79–85 Read article
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Advanced Polymer Composites for Dental Applications: A Study on Twin Wire Tucker Mechanism
Abstract: This study explores the development of advanced polymer composites for dental applications, particularly focusing on the twin wire tucker mechanism. The study investigates the polymer chemistry underlying the mechanical properties of polymer-based dental instruments, emphasizing the stability, flexibility, and ergonomic benefits of polymer composites in orthodontic applications. The incorporation of reinforced polymers into dental instruments aims to enhance performance, durability, and patient comfort. By integrating high-strength polymers with superior biocompatibility, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 1–6 Read article
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Pathophysiology Reimagined: Integrating Systems Biology and AI for Disease Understanding
Abstract: Pathophysiology, the study of disease mechanisms at molecular, cellular, and systemic levels, has traditionally relied on reductionist approaches that often fail to capture the complex, dynamic, and interconnected nature of biological systems. Diseases such as cancer, neurodegenerative disorders, and infectious diseases arise from intricate interactions among genetic, epigenetic, metabolic, and environmental factors, necessitating integrative, data-driven methodologies for a deeper understanding. Systems biology has emerged as a powerful approach by leveraging …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 63–71 Read article
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Negative Perceptions of Broiler Consumers: Exploring Societal Attitudes, Cultural Ethics, and Health Concerns for Sustainable Production
Abstract: Negative perceptions of broiler chicken remain a significant barrier to its acceptance and market sustainability. This study investigates the societal attitudes, cultural ethics, and health concerns that influence consumer perceptions and challenges the broiler industry. Ethical issues, including animal welfare and perceived unnatural rearing practices, often fuel consumer distrust. Health concerns such as antibiotic residues, growth hormone usage (often misunderstood), and lower nutritional value compared to native breeds further exacerbate …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 2, 2025 · pp. 9–22 Read article