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129 articles for “best practices”
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Utilization of Clay as Source Material in Geopolymer and Alkali Activated Concretes: A State of Art Review
Abstract: This innovative research looks at the use of clay as source material for geopolymer and alkali- activated concrete, with a focus on how they could promote green construction practices and perhaps replace Portland cement. Alkali-activated concretes and geopolymers offer low-carbon, eco-friendly alternatives by utilizing natural minerals and industrial wastes. Particularly clay is a plentiful and adaptable option for these cutting-edge products. This review looks at different kinds of clay, like …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 635–654 Read article
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Size-biased Sujatha Distribution with Properties and Application to Model Flood Data
Abstract: In this study, a size-biased version of the Sujatha distribution was proposed to model flood data. The descriptive statistical properties based on moments and the reliability properties of the distribution are discussed in detail along with their derivation and graphical presentation. An interesting feature of the proposed distribution is that it is a member of the exponential family of distributions. A sequential probability ratio test was performed using the proposed …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 1, 2024 · pp. 31–46 Read article
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Comparative Analysis of Heart Disease Prediction System
Abstract: In the present world, where heart illnesses are on the rise, it is crucial to forecast these diseases. Performing the task on heart disease is a bit difficult and it must be finished precisely and successfully. Heart disease identification relies heavily on Machine Learning (ML) and data mining approaches. The primary focus of the review paper is that patients are easily prone to cardiac diseases depending on medical traits. Using …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 1, 2023 · pp. 1–6 Read article
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A Dynamic Text Compression Model for Big Data Applications Using Hadoop
Abstract: In today’s data-driven era, efficiently handling vast amounts of information has become increasingly important. Data compression plays a vital role in this regard — it is essentially a method of encoding information in such a way that significantly reduces the number of bits required to store or transmit a file. By shrinking data to its most compact form, compression techniques help save storage space, reduce bandwidth consumption, and improve the …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 2, 2026 Read article
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An Integrated Study to Extrapolate the Interaction of NMDAR with Potential Ligands for the Treatment of Alzheimer’s Disease Symptoms
Abstract: Objective: Alzheimer’s disease (AD) is the most common neurodegenerative disease affecting the health status of older adults especially those above the age of 60 years. As an outcome, two types of medications have been developed for the treatment of its symptoms which are acetylcholinesterase (AChE) and N-methyl-D-aspartate receptor (NMDAR) antagonist. This paper uses the computational approach to understand the interaction of NMDAR with four major phytocompounds (curcumin, L-epicatechin, ginsenosides, and …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 1, Issue 1, 2023 · pp. 15–27 Read article
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Additive Manufacturing of Polymer-Based Advanced Composites: Mechanical Properties and Performance Evaluation
Abstract: Fabrication of large-scale and geometrically complex polymer-based advanced composites via fused deposition modelling (FDM) has been shown to be a promising technology for the production of such materials, however there are challenges in using short carbon fibre-reinforced polylactic acid (CF-PLA) which include obtaining high mechanical performance and maintaining dimensional accuracy with dynamic robot motion and complex interactions occurring between process parameters. The conventional approaches are mostly static feed rates or …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1326–1335 Read article
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Smart Wireless Charging Infrastructure for Electric Vehicles
Abstract: Wireless Power Transfer (WPT) of Electric Vehicles (EVs) is a potential technology with large scale potential to change how EVs may be charged, eliminate range anxiety, and simplify charging infrastructure. As opposed to the existing conductive charging systems that necessitate physical contact between two charging points, WPT makes power transfer possible regardless of an air gap between charging and the receptive points, making it possible to recharge EVs practically automatically, …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 1, 2025 · pp. 30–42 Read article
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Choosing the Right Machine: A Comparative Analysis of Desktops and Laptops
Abstract: This study provides a comparative analysis of desktop and laptop computers, focusing on factors such as performance, portability, cost, and user requirements. Desktops are highlighted as the preferred option for resource-intensive tasks like gaming, video editing, and handling large-scale data because of their powerful processors, efficient cooling mechanisms, and expandability. These systems are well suited for users who prioritize high performance and the ability to upgrade components over time. On …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 41–49 Read article
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A GIS and MCDA Framework for Land Suitability Analysis in Sustainable Agriculture
Abstract: This study examines land suitability for sustainable agriculture by integrating Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA) as tools to optimize agricultural planning. Sustainable agricultural practices are increasingly critical to meet global food demands without depleting essential land resources. This research focuses on assessing specific parameters that determine the agricultural viability of land, including soil characteristics, topography, climatic conditions, and water availability. These criteria are integral to understanding …
Published in International Journal of Land · Vol. 1, Issue 2, 2024 · pp. 30–34 Read article
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Early Autism Diagnosis: Machine Learning Models and Their Effectiveness
Abstract: Diagnosis is of utmost importance for timely intervention and support. However, traditional diagnosis methods, which are based on subjective assessment, are delayed. This project explores the role that machine learning techniques might play in enhancing the accuracy and effectiveness of ASD detection. Several state-of-the-art classification algorithms were benchmarked using a dataset from Kaggle. Logistic Regression, XG Boost, Random Forest, Decision Tree, and Gradient Boosting were taken into consideration. Other performance …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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Identification of the Potentialities of Ecotourism
Abstract: Khalkhal town's climate, geography, topography, ecological conditions, vegetation, and green spaces make it an exceptional tourism destination. Located in the Talesh foothills, Khalkhal enjoys a favorable climate and abundant water resources, attracting nature lovers. To unlock the town's tourism potential, it is crucial to assess its diverse attributes. Information layers such as slope, geographical direction, vegetation, and climate are individually analyzed. The best zones for the development of ecotourism in …
Published in International Journal of Climate Conditions · Vol. 1, Issue 2, 2024 · pp. 1–8 Read article
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Enhancing Crop Health: A Review of Image Processing Methods for Leaf Disease Identification
Abstract: This research presents an overview of different image processing techniques for the identification of leaf disease. Many algorithms can be used to identify and categorize leaf diseases in plants, and digital image processing provides a quick, dependable, and accurate method of disease detection. This paper presents various techniques used on multiple crops and the achieved accuracy for each model. Leaf disease detection is a critical task in agriculture to ensure …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 10–14 Read article
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Comparative Analysis of Data Augmentation Techniques in CNN-based Classification of Atelectasis
Abstract: This research delves into the critical issue of atelectasis, its causes, and potential complications if left untreated. Leveraging deep learning algorithms, particularly convolutional neural networks (CNN), the paper explores their application in medical image analysis, focusing on the detection of atelectasis using the “chestX-ray8” database. The study compares various data augmentation techniques for improved accuracy, showcasing the importance of augmentation in enhancing model generalization. Through meticulous experimentation and evaluation, the …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article
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A Multi-Criteria Analysis Based on Various Factors for Evaluation of Organic-Mineral Fertilizer Components
Abstract: This study explores the potential of organic-mineral fertilizers as sustainable alternatives to synthetic options, evaluating ten such fertilizers, including coffee grounds, poultry eggshells, bone meal, Fish Emulsion, compost, cow manure, wood ash, biochar, seaweed extract, and green manure. A multi-criteria analysis assessed factors like effectiveness, cost, environmental impact, availability, and waste potential. Coffee grounds and poultry eggshells performed best due to their high nutrient content and positive soil effects, with …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 32–44 Read article
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Evaluation of Organic-Mineral Fertilizer Components: A Multi-Criteria Analysis Based on Various Factors
Abstract: This study explores the potential of organic-mineral fertilizers as sustainable alternatives to synthetic options, evaluating ten such fertilizers, including coffee grounds, poultry eggshells, bone meal, Fish Emulsion, compost, cow manure, wood ash, biochar, seaweed extract, and green manure. A multi-criteria analysis assessed factors like effectiveness, cost, environmental impact, availability, and waste potential. Coffee grounds and poultry eggshells performed best due to their high nutrient content and positive soil effects, with …
Published in International Journal of Trends in Horticulture · Vol. 2, Issue 2, 2025 · pp. 29–42 Read article
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Uterine Leiomyosarcoma: A Diagnostic Dilemma
Abstract: Tumours that fall under the category of uterine malignancies include carcinosarcomas, leiomyosarcomas, endometrial stromal sarcomas, and undifferentiated sarcomas. Of them, leiomyosarcoma is the most common subtype, while still quite uncommon—it accounts for 1% to 2% of uterine cancers. Since postmenopausal bleeding is typically present in leiomyosarcomas, prompt detection is essential for successful treatment. This case study features a 50-year-old female patient who had postmenopausal bleeding, which is a common sign …
Published in International Journal of Pathogens · Vol. 1, Issue 1, 2024 · pp. 38–42 Read article
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The Role of Breastfeeding in Early Childhood and Maternal Health: A Perspective
Abstract: Breastfeeding is globally recognized as the optimal method of infant feeding, offering unparalleled benefits for both child survival and maternal health. Breast milk provides a balanced mix of essential nutrients, bioactive compounds, and protective antibodies, making it the gold standard for early nutrition. Exclusive breastfeeding for the first six months of life, followed by continued breastfeeding with complementary foods for up to two years or longer, is recommended by the …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 3, 2025 · pp. 43–47 Read article
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A Family Planning, Method in Urban Women Between Age Group of 25-45, in Jeeva Hospital Satara
Abstract: Family planning addresses a woman's reproductive health, appropriate spacing between pregnancies, avoiding unintended pregnancies and abortions, preventing STDs, and enhancing the quality of life for the mother, fetus, and family as a whole. A simple random technique was used to select 50 women of reproductive age from Jeeva Hospital in Satara City. The study focused on the limitations of family planning practices among these women, who were between the ages …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 1, 2025 · pp. 1–8 Read article
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Phytopharmacognostical Study and Development & Assessment of Topical Herbal Ointment from Leaves of Calotropis gigantea
Abstract: Joint pain is a common problem that affects people all over the world and calls for efficient treatment solutions. The present study investigated the creation of a topical formulation for the treatment of joint pain that uses an extract from the leaves of Calotropis gigantea. C. gigantea is sometimes referred to as huge milk weed and aak leaves. It is a member of the Apocynaceae family. This versatile plant has …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 114–120 Read article
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Performance Evaluation of Semi-Dense Bituminous Macadam with Crumb Rubber Modified Bitumen
Abstract: This research focuses on evaluating the performance behavior of Semi-Dense Bituminous Macadam (SDBM) mixes incorporating 9% Crumb Rubber Modified Bitumen (CRMB), with varying proportions of bitumen binder. The aim is to understand how different binder contents influence critical pavement properties such as Marshall stability, flow value, bulk density, air voids, Voids in Mineral Aggregate (VMA), and Voids Filled with Bitumen (VFB). The experimental investigation reveals that increasing the bitumen content …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 2, 2025 · pp. 15–20 Read article