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201 articles for “ultimate analysis”
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Computational Approaches to Understanding Cellular Signaling Pathways
Abstract: Cellular signaling pathways are fundamental in regulating vital processes, such as cell growth, differentiation, and apoptosis. The intricate and interconnected nature of these signaling networks requires sophisticated methods for their analysis. Computational approaches, including mathematical modeling, network analysis, and machine learning, have revolutionized the way researchers analyze and simulate cellular signaling. This article provides a comprehensive overview of computational strategies employed to model signaling pathways, with a focus on integrating …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 8–13 Read article
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Multilingual Education and Language Policy in a Globalized World: Toward Inclusive and Equitable Learning Systems
Abstract: Multilingual education involves teaching and learning in two or more languages, promoting linguistic diversity and enhancing educational outcomes. It acknowledges learners’ native languages and integrates them with dominant or global languages to foster inclusivity and cognitive development. Multilingual education (MLE) serves as a critical framework for promoting inclusivity and equity within increasingly globalized and culturally diverse classrooms. This paper explores the role of MLE and the influence of language policies …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 64–74 Read article
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Latest Research Trend of Optimization Techniques and Considerable Parameters in Wire Electrical Discharge Machining (WEDM): Review Article
Abstract: Wire electrical discharge machining (WEDM) is a non-conventional machining method with unique capabilities. WEDM offers a better alternative or sometimes the only alternative to produce complex shaped features and components of difficult-to-machine materials. In today’s highly competitive manufacturing industries, manufacturer’s ultimate goal is to produce high quality product with less time and cost constraint. To achieve these goals, one of the considerations is by optimizing the machining process parameters such …
Published in Journal of Production Research & Management · Vol. 6, Issue 2, 2016 · pp. 30–53 Read article
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Computational Exploration of Bhrijraj-derived Phytochemicals as Potential Anti-inflammatory Agents: A Molecular Docking Study with Cyclooxygenase-II Complex
Abstract: The molecular docking analysis was meticulously conducted using state-of-the-art computational tools, notably Chimera and Python. These tools were employed to unravel the complex interactions between the identified phytochemicals from Bhrijraj and the target protein, COX-II. The 3D structures of the phytochemicals were prepared with precision using ChemSketch, ensuring accuracy in the subsequent molecular docking simulations. This rigorous approach enhances the reliability and validity of the findings. This research aims to …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 1, 2024 · pp. 31–37 Read article
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A Data-Driven Analysis of Machine Learning Classification Models for Reliable Crop Yield Prediction
Abstract: The adoption of ML technologies in agriculture is reshaping farming practices, empowering producers to make informed, data-oriented decisions that improve yields, sustainability, and long-term resilience. In mango cultivation, ML analyzes data from weather, soil, and pests to optimize irrigation, fertilization, and pest control. Predictive analytics help forecast ideal farming practices, minimizing resource wastage and improving yield. Real-time monitoring and image-based disease detection allow timely interventions to maintain plant health and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–17 Read article
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Comparative Proteomics: From Cell Lines to Clinical Samples
Abstract: Comparative proteomics is a powerful tool for understanding the molecular differences between various biological samples. It entails identifying and measuring proteins in complex biological samples to assess their abundance, modifications, and interactions under various conditions. This approach plays a crucial role in advancing biomedical research, especially in disease understanding, biomarker discovery, and therapeutic development. While cell lines are widely used for proteomic studies due to their controlled environments and reproducibility, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 30–34 Read article
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Exploring the Impact of Micro plastics on Soil Ecosystems and Agricultural Productivity
Abstract: This research paper delves into the concerning issue of microplastic contamination in soil ecosystems and its potential consequences for agricultural productivity. Microplastics, defined as plastic particles smaller than 5 millimetres, have garnered significant attention for their adverse impacts on marine environments, yet their effects on soil ecosystems have been relatively overlooked. Through a review of existing literature and empirical analysis, this paper aims to elucidate the mechanisms by which microplastics …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 85–89 Read article
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Integrating Traditional Medicine with Modern Health Practices
Abstract: Traditional medicine has been an integral part of global healthcare for centuries, rooted in cultural heritage, and natural remedies. However, with advancements in modern healthcare practices, a divide has formed between traditional and contemporary approaches. This paper explores the potential integration of traditional medicine with modern health practices, emphasizing evidence-based benefits, challenges in harmonization, and policy frameworks for effective collaboration. Through an interdisciplinary analysis, we argue that integrating these systems …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 12, Issue 3, 2025 · pp. 20–26 Read article
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Virtual Method to Predict Dental Disease
Abstract: The integration of technology and medicine in the healthcare domain has led to the emergence of inventive strategies to improve patient care and diagnostics. One such groundbreaking methodology is the utilization of Convolutional Neural Networks (CNNs) within the domain of deep learning, particularly for image recognition and processing tasks. In this paper, we propose a novel approach to image recognition that employs state-of-the-art deep learning algorithms to create a user-friendly …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 8–15 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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Improving Supply Chain Resilience through Predictive Analytics and Real-Time Data Integration
Abstract: Demand forecasting has under gone major changes because to the incorporation of automated analytics into supply chain management (SCM), which has improved company productivity, accuracy, and responsiveness. Central to this transformation is the application of machine learning (ML), which enables the analysis of large and complex datasets to identify patterns, detect trends, and generate precise forecasts. Conventional methods for predicting frequently rely on linear models and historical sales data, which …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 8–17 Read article
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Regression Analysis of Topological Indices and Physicochemical Properties of Polymer-Based Anticancer Drugs
Abstract: The research analyzed the quantitative correlation between topological indices and the physicochemical properties of selected anticancer compounds using regression analysis. Various topological descriptors—such as the First Zagreb Index, Second Zagreb Index, and Forgotten Index were calculated and regressed against key molecular features, including polar surface area, melting point, and molar refractivity. The regression analysis revealed linear correlations between these topological indices and the properties of anticancer drugs, with particularly strong …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 255–267 Read article
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Reliability-Aware Mathematical Model for Radiation-Hardened Satellite Communication Systems
Abstract: Satellite communication systems operate in radiation environments in which total ionizing dose (TID), displacement damage, and single-event effects (SEE) can progressively degrade electronic, optoelectronic, and communication components and can ultimately reduce link availability and mission reliability. This paper develops a Reliability-Aware Radiation-Hardened Satellite Communication Model (R-RHSCM) that mathematically couples the orbital radiation environment, accumulated radiation dose, component degradation, communication-link performance, single-event failure probability, redundancy, thermal effects, and adaptive mitigation. The …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article
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A Split and Merge UNet: A Deep Learning Assisted UNet Model to Segment Corpus Callosum of Brain for Automatic Autism Detection
Abstract: In recent years, deep learning techniques have shown remarkable performance in various image analysis applications, particularly in the domain of medical image processing. Among these, image segmentation plays a critical role, as it helps in isolating and analyzing specific regions within medical images. The proposed study focuses on segmenting the corpus callosum, a vital structure in the human brain, using a novel optimization technique known as the Split and Merge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Importance of Thesaurus in Natural Language Processing for Scholarly Data Extraction
Abstract: The exponential growth of scholarly literature needs advanced methods for efficient data extraction and knowledge discovery. Natural Language Processing (NLP) has emerged as a crucial technology in automating the analysis and organization of academic texts. Among various linguistic resources, thesauri serve as important tool for enhancing semantic understanding by providing structured vocabularies, synonyms, and hierarchical relationships between terms. This paper examines the importance of thesauri in enhancing NLP-based scholarly data …
Published in Emerging Trends in Languages · Vol. 3, Issue 1, 2026 · pp. 19–24 Read article
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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
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A Study of The Performance of surface modified NACA 2416 Airfoils at various Angles of Attach at Re80000
Abstract: In the present investigation the effect of compressive strength of core and precast concrete on the behavior of columns retrofitted by attaching precast segments and followed by FRP wrapping through Finite Element Analysis. A rectangular column converted into an elliptical column by attaching precast segment is modeled using ANSYS workbench, A Finite Element Analysis software. A Finite Element Model is developed, considering various structural parameters such as grades of core …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 302–310 Read article
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Surface Modified Abaca Fibers: Physico-Mechanical, Morphological and Degradation Properties Evaluation
Abstract: Lignocellulosic fibers are used as cost-cutting fillers in plastics factories. Amid several factors, the ultimate performance of composite ingredients depends on the bond between the matrix resin and the filler, and hence on the quality of the interface. To acquire optimal performance of the end product, adequate interaction between the matrix and the lignocellulosic ingredient is preferred. This is often acquired through surface modification of the matrix or filler. Abaca …
Published in Journal of Materials & Metallurgical Engineering · Vol. 12, Issue 2, 2022 · pp. 34–46 Read article
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Studies on CO2 Dissolution in Sodium Silicate for the Precipitation of Silica
Abstract: Rice husk is an agricultural residue abundantly available. Rice husk is a fuel having high ash content; major constituent being silica (90%). Extracting silica from Rice husk ash (RHA) not only adds value but also solves disposal problem of large amount of ash. Conventionally silica is extracted from quartz (silica rock) but this route is expensive and required more energy and RHA is the ultimate choice. Alternately Extraction of silica …
Published in Emerging Trends in Chemical Engineering · Vol. 1, Issue 1, 2014 · pp. 70–75 Read article
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ASSESSMENT OF KNOWLEDGE, ATTITUDE AND PRACTICES (KAP) REGARDING ANTIMICROBIAL USE (AMU) AND ANTIMICROBIAL RESISTANCE (AMR) AMONG PHARMACY STUDENTS OF THANE DISTRICT
Abstract: Background: The commencement and expand of antibiotics/ antimicrobial resistance is a wide range of growing problem world-wide. Antimicrobial resistance is a topic of global distressed these days. Irrational and extravagant use of antimicrobial by the general public is one of the key factors responsible for this. As the pharmacy students are the subsequent prescriber so their knowledge and attitude in relation to public usage of Antimicrobial will make them essential …
Published in Research and Reviews: A Journal of Toxicology · Vol. 13, Issue 2, 2023 Read article