Search
361 articles for “contrast”
-
A Study to Assess the Knowledge and Practice of Self-Care Management Among Post-Operative Orthopaedic Patients in Selected Hospitals at K.G.F
Abstract: This study aimed to assess the level of knowledge and practice regarding self-care management among post-operative orthopedic patients using a non-experimental descriptive research design. A total of 60 post-operative orthopedic patients were selected through purposive sampling from a hospital in Kolar Gold Fields. Data were collected using a standardized checklist developed by Printz, Foster Kent, O’Leary, Robin, and Foster (1989), followed by an assessment of patients’ knowledge and practice related …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
-
Clone-Specific Drug Delivery Systems: Targeted Approaches and Future Clinical Applications
Abstract: Clone-specific drug delivery systems represent a transformative frontier in personalized medicine, addressing the longstanding challenge of clonal heterogeneity within diseases such as cancer, infectious diseases, and autoimmune disorders. Traditional drug delivery platforms often fail to discriminate between pathogenic and healthy cells, leading to systemic toxicity and reduced therapeutic efficacy. In contrast, clone-specific systems aim to selectively target and eliminate disease-driving cellular clones based on unique molecular signatures, thereby improving treatment …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 21–29 Read article
-
A Comparative Study of Deep Learning Methods for Depression Detection in Social Media Data
Abstract: With the rise of social media platforms like Twitter, Reddit, and Facebook, individuals increasingly share personal information about their moods, behaviors, and mental states. This trend provides a unique opportunity to leverage large-scale textual data for understanding and monitoring mental health conditions, particularly depression, a prevalent and challenging mental health issue. Traditional depression assessments are often confined to clinical environments and lack the capacity for real-time monitoring. In contrast, social …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 55–65 Read article
-
Evolution of CSS Frameworks: From Bootstrap to Utility-First Design
Abstract: CSS frameworks have become integral to modern web development, offering developers predefined styles and components that simplify the design process, ensure visual consistency, and accelerate deployment. Over the years, these frameworks have evolved significantly: from traditional component-based architectures, such as those seen in Bootstrap and Foundation, to more flexible utility-first methodologies like Tailwind CSS. This study explores the evolution of CSS frameworks by highlighting the contrasting approaches of these widely …
Published in Recent Trends in Programming languages · Vol. 12, Issue 2, 2025 · pp. 40–48 Read article
-
Utilization of Banana Peel Biopolymer as a Natural Coagulant for Wastewater Treatment: A Sustainable Approach to Bio-Composite Applications
Abstract: This study explores an eco-innovative approach to wastewater treatment by utilizing banana peel powder (BPP) as a sustainable, low-cost bio-coagulant. Although effective, conventional chemical coagulants like aluminum sulfate and synthetic polymers are often non-biodegradable, toxic, and economically burdensome, particularly in decentralized or low-resource settings. In contrast, BPP—an agro-waste material rich in bioactive functional groups such as hydroxyl, carboxyl, and phenolic compounds—provides a renewable and environmentally friendly alternative. To enhance its …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 106–115 Read article
-
IoT Sensors to Monitor Pipeline Pressure and Flow Rate Combined with ML-Algorithms to Detect Leakages
Abstract: In the field of fluid mechanics, pipelines are the lifeblood of industries, transporting everything from natural gas and oil to water and chemicals. Maintaining their integrity is paramount for safety, economic efficiency, and environmental protection. Traditional leak detection methods explained in fluid mechanics can be slow, expensive, and sometimes fail to identify small leaks early enough to prevent significant damage. However, the convergence of Internet of Things (IoT) and Machine …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 2, 2025 · pp. 40–48 Read article
-
The Influence of Soil Types on the Performance of the Building Frames: A Dynamic Analysis
Abstract: The dynamic response of the building structure is to a large extent dependent on the nature of the supporting soil. Soil stiffness and damping metrics fluctuation can cause significant tension in the behaviour of building skeleton when exposed to dynamic loads such as earthquake or wind. This research aims to evaluate how different soil conditions namely hard, medium, and soft soils impact the seismic performance of building frames under dynamic …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 2, 2025 · pp. 25–27 Read article
-
Chemical Modifications and Tensile Properties of Areca Leaf Sheath Fiber Reinforced Polymer Composites: A Comprehensive Review
Abstract: Areca leaf sheath (ALS) fiber is a promising eco-friendly material, offering a sustainable, lightweight, and cost-effective alternative for low-strength applications. Its natural biodegradability aligns well with the growing global demand for environmentally responsible materials. This review explores the transformative effects of chemical treatments, such as alkali, silane, and benzoylation, on the tensile properties of Areca leaf sheath fibers. Among these, alkali treatment consistently demonstrates the most significant improvement in tensile …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 94–106 Read article
-
Topology and Geometry in Data Science: Persistent Homology and Beyond
Abstract: In recent years, the interplay between topology, geometry, and data science has gained substantial momentum, offering powerful frameworks to analyze and interpret complex datasets. Traditional statistical and machine learning methods often rely on linear or metric- based assumptions, which may fail to capture the intrinsic structure of high-dimensional or nonlinear data. In contrast, topological and geometric methods provide shape-oriented, scale- invariant tools that focus on the continuity, connectivity, and global …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 21–27 Read article
-
Fuzzy Probability Distributions and Their Applications in Uncertain Data Analysis
Abstract: This study explores the use of fuzzy probability distributions in data analysis under uncertain conditions, with a specific focus on their implementation in evaluating call center customer satisfaction. Traditional probability models rely on precise parameters, often failing to account for the inherent variability and subjectivity present in real-world data. In contrast, fuzzy probability distributions, which integrate fuzzy logic principles, offer a more adaptable and realistic framework for addressing such complexities. …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
-
Efficient Machine Defect Detection with Sugeno Fuzzy Membership and GRU Networks for Robust Industrial Automation
Abstract: Machine fault detection is of immense significance in industrial automation to achieve efficient operations, reduced downtime, and reduced economic losses. Sugeno fuzzy logic and Gated Recurrent Unit (GRU) networks are used in this research to provide a new hybrid solution that addresses problems such as noisy data, evolving defect patterns, and real-time detection. To improve readability and reliability, the Sugeno fuzzy logic unit preprocesses fuzzy and uncertain input data into …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 17–26 Read article
-
Durability Assessment of Geopolymer and OPC Concretes under Chloride and Sulphate Chemical Attack
Abstract: The main problems with durable concrete constructions are attacks by sulphates and chlorides on concrete. The primary objective of this study is to evaluate how the strength properties of concrete are affected by the incorporation of fly ash when exposed to environmental conditions involving sulphate and chloride solutions. In this research, geopolymer concrete (GPC) is utilized as a replacement for conventional ordinary Portland cement (OPC). The concrete composition is prepared …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 202–218 Read article
-
Support Vector Machine Inspired Load Forecasting of a State University in Haryana
Abstract: Estimating the possible environmental impact and determining probable capital requirements are made easier with a solid grasp of electricity demand. Beginning in the middle of the 20th century, demand forecasting for electric power networks was studied theoretically. Prior to that, the study of demand forecasting had not developed because of the small scale of power networks. With the use of statistical prediction techniques, plans for the electric power industry have …
Published in Trends in Electrical Engineering · Vol. 15, Issue 2, 2025 · pp. 33–40 Read article
-
Comparative Performance Study: Deterministic vs. Probabilistic Models in Retail Chains
Abstract: The finished goods, raw materials, and product stock that a business has on hand for sale are referred to as inventory. They enable the companies to achieve their sales levels and are a chance to cost control and decision making. It is a huge asset to a manufacturing firm. Inventory model permits forecasting of quantities of raw material, inventory and spare parts of the equipment to a very high level …
Published in Recent Trends in Mathematics · Vol. 2, Issue 1, 2025 · pp. 1–6 Read article
-
Automated Blood Cell Counting and Disease Identification Using Image Processing: Implications for Polymer Composite- Based Biomedical Diagnostic Devices
Abstract: Accurate quantification of blood cells is central to clinical decision-making and to the performance of emerging polymer composite–based diagnostic platforms. This work presents a cost-effective, image-processing pipeline for automated counting of red blood cells (including overlapping cells), white blood cells, and platelets from Leishman-stained peripheral blood smears, and articulates its relevance to polymer composite microfluidic and biosensor devices. Implemented in Python with OpenCV, the workflow performs grayscale conversion, median/Gaussian denoising, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 262–270 Read article
-
Personalized Virtual Interior Design Using Generative AI
Abstract: This study presents an AI-driven virtual interior design system that allows users to effectively redesign their home or workspace with an integrated shopping experience. The system tailors designs according to room type, style, and purpose, ensuring that the created layouts are aesthetically pleasing, well-organized, and functional. In contrast to conventional interior design, which involves professional skill, hand labor, and much time consumption, this AI-based method uses technology to automate fundamental …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 07–12 Read article
-
AGRISMART: Crop and Soil Management System
Abstract: Agriculture has played a crucial role in developing countries where the majority of the rural population relies on it for their livelihoods. A finer-grade crop classification has become crucial in the context of precision agriculture. In recent years, the volume of open image data has grown significantly. This can be used in combination with machine learning techniques to classify crop types in the agricultural industry. The proposed crop species recognition …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 50–55 Read article
-
Role of Food Supplements in Premalignant Lesions: A Literature Review
Abstract: Premalignant lesions of the oral cavity are histopathological alterations in the oral epithelium linked to a higher likelihood of malignant transformation. These lesions frequently present as leukoplakia (white patches), erythroplakia (red patches), oral lichen planus, and oral submucous fibrosis. Oral cancer, categorized among head and neck malignancies, is considered the sixth most common cancer globally. While tobacco and alcohol consumption remain the primary etiological factors, increasing evidence underscores the significant …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 3, 2025 · pp. 17–26 Read article
-
Predictive Factors of Long-Term Sobriety: A Post-Discharge Outcome Study in Mangalore, Goa, and Vasai (2019–2023)
Abstract: Relapse following discharge remains a major challenge in addiction recovery, even with structured treatment protocols in rehabilitation centers. This study examines post-discharge outcomes from Kripa Foundation’s rehabilitation centers in Mangalore, Goa, and Vasai over a five-year period (2019–2023). A total of 100 patients were categorized into four behavioural outcome groups: Clean (Sober), Relapsed, R.I.P. (Deceased), and Unknown. The study aimed to identify demographic and behavioural predictors of sustained sobriety post-discharge. …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 29–44 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