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1272 articles for “employment”
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Smart Dustbin for Household Using Internet of Things (IoT)
Abstract: This article, titled “Smart Dustbin for Household Using Internet of Things (IoT)”, introduces an innovative solution to manage household waste effectively. In today's fast-paced world, many individuals find it challenging to dispose of garbage regularly due to busy schedules. This IoT-based system aims to address this issue by employing sensors and connectivity to monitor the fill-level of dustbins in real time. By utilizing ultrasonic sensors and microcontrollers like the ESP32, …
Published in Journal of Geotechnical Engineering · Vol. 11, Issue 2, 2024 · pp. 38–48 Read article
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Oral Thin Films of Ondanetron Hcl: Formulation and Performance Evaluation
Abstract: This study had the goal to formulate oral polymeric thin film that would dissolve and disintegrate instantly, while also having high mechanical features. These are the most advanced forms of solid dosage forms. Solvent casting was the technique employed to create oral thin films. These are additionally referred to as buccal films/strip, mouth dissolving films, oral thin films, as well as oral strips of paper. These films are suitable for …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 3, 2024 · pp. 1–6 Read article
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Sentiment Analysis of E-Commerce Reviews using Machine Learning
Abstract: In e-commerce, sentiment pertains to the emotional responses, opinions, or perceptions that customers have about their online shopping experiences, including factors like product quality, service, and various processes such as ordering, shipping, and customer support. Sentiment analysis, which involves machine learning techniques, plays a crucial role in deciphering these sentiments. By using sentiment analysis, companies can obtain valuable insights from customer feedback from diverse online sources, including social media, surveys, …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 25–37 Read article
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An Experimental Investigation on Surface Roughness of Laser Beam Machining of Aluminium Alloy
Abstract: Laser beam machining (LBM) is a cutting-edge technique widely utilized for precision machining of advanced materials. This experimental investigation focuses on the surface roughness of aluminum alloy (Al 6061) during LBM. The study systematically examines the impact of process parameters such as laser power, cutting speed, and gas pressure on surface roughness (Ra). The significance of surface roughness in determining the quality and functionality of machined components is emphasized. The …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 82–104 Read article
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An Experimental Investigation of Machining Parameters on Aluminum Composites
Abstract: The need for a material with good mechanical, thermal, and wear resistant properties is satisfied by aluminum composite. However, the biggest obstacle to substituting it with alternative materials is the machining challenges. For this kind of hard-to-cut material, electric discharge machining is a very efficient method. Thus, using a Taguchi-based method, an attempt has been made to determine the most advantageous amount of input parameters for EDM of Al composite. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 8–13 Read article
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Examination of AI Based Virtual Doctor Robot Fabricated Using Composite Material
Abstract: The accessibility and affordability of healthcare have become significant concerns for a substantial portion of the population in the modern era. In the past two decades, there has been a growing emphasis among researchers on the utilization of natural fibers as reinforcements for structural materials that are based on polymers or cementitious materials. The current investigation offers a The Virtual Doctor Robot is a cutting-edge healthcare solution that leverages the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 71–76 Read article
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Analyzing Cavitation in Marine Propeller: A Computational Approach with Consideration for Polymer Applications
Abstract: A major source of noise and blade damage in marine propellers is because of the phenomenon of hydrodynamic cavitation. The Computational Fluid Dynamics (CFD) analysis approach is employed for the prediction of the cavitating propeller’s performance characteristics under various conditions of operation with the advance coefficient (J) ranging from 0.55 to 0.91 and cavitation number (σ) in the range of 0.80 to 4.50. The numerical simulation is performed on INSEAN …
Published in Journal of Polymer & Composites · Vol. 12, Issue 8, 2024 · pp. 29–44 Read article
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Enhancing User Engagement and Content Relevance: A Novel Approach to Social Media Post Recommendation System
Abstract: The social media post recommendation system is an innovative solution aimed at optimizing content delivery for users in today's digital age. Its primary motive is to tailor online experiences, ensuring users receive posts most relevant to their preferences. Various machine learning algorithms are employed to suggest related posts. This system leverages advanced algorithms and analytics, producing key results that highlight user engagement metrics and content relevance. Preliminary findings of this …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
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Unified Ensemble Techniques for Enhanced DDoS Attack Prevention and Detection
Abstract: Today’s world is entirely reliant on the internet. The internet is a worldwide information source that all users rely on, hence its accessibility is critical. There have been reports in recent years, particularly in the information and technology division of significant organizations worldwide, of data breaches where the terms denial-of-service (DoS) and DDoS are consistently present in the stolen material. Network security is seriously threatened by DoS attacks. They have …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 2, 2024 · pp. 20–27 Read article
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The Regulatory Role of Food Spices Against Lipid Peroxidation in Meat Products
Abstract: Spices are plant-based materials used for enhancing the flavor, taste and aroma of meat and have been employed in cooking and meat processing for many decade. Interestingly, some of these spices have found relevance in meat preservation as they not only enhance the flavor and taste of meat product but can also reduce meat spoilage. One of the major causes of meat spoilage outside those induced by microbes is Lipid …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 3, 2024 · pp. 21–25 Read article
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The Impact of Environmental Changes on Indian Agriculture: Strategies for Resilience
Abstract: With more than 61 years of independence, the portion of agriculture in the whole national revenue has been come down from 50 percent in the year 1950 to 18 percent in the year 2007-08. But, as sup above specified, more than 60 percent of workforce in the country are involved in the agricultural activity. But the economy in general depends to a great extent on the performance of agriculture. For …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 3, 2024 · pp. 01–08 Read article
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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
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Numerical Investigation on Structural Behavior of RC Beam-Column Joints: Beam Weak in Shear
Abstract: This study presents a numerical investigation on structural performance of reinforced concrete (RC) beam-column joints (BCJ) with beam weak in shear subjected to cyclic loading. Retrofitting techniques are explored, utilizing Glass Fiber Reinforced Polymer (GFRP) for shear strengthening, in accordance with ductile detailing standards outlined in IS 13920:2016. The column and beam elements are designed following the guidelines of IS 456:2000. Various specimen scales, including full-scale, 2/3-scale, and 1/3-scale specimens, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 202–226 Read article
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Exploring Azadirachta indica’s Potential to Combat Visceral Leishmaniasis Through GP63 Inhibition
Abstract: Objectives: Millions of people worldwide suffer from the parasite disease visceral leishmaniasis. Determine the naturally occurring active ingredients in Azadirachta indica, which are employed as a disease-prevention agent and have several uses in medicine. To choose the best ligand to use as a medication, absorption, distribution, metabolism, and excretion (ADME) studies and molecular docking are employed. Methods: To obtain the GP63 protein, the Protein Data Bank (PDB) database was accessed. …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 2, 2024 · pp. 1–12 Read article
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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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Flexibility and Inclusion: Designing Modern Office Workspaces
Abstract: The modern workplace is undergoing significant transformations, driven by the need for flexibility and inclusion to accommodate a diverse and dynamic workforce. This research paper explores the principles and practices of designing inclusive office spaces that are adaptable, accessible, and supportive of all employees, regardless of their physical abilities, cultural backgrounds, or personal needs. Through a comprehensive literature review, this study examines the evolution of office design, focusing on key …
Published in International Journal of Urban Design and Development · Vol. 2, Issue 2, 2024 · pp. 32–47 Read article
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Understanding Food Spoilage: Mechanisms, Shelf-Life Determination, and Safety Standards
Abstract: Food spoilage poses significant challenges to the global food industry, impacting both food safety and economic sustainability. The main causes of food quality deterioration are microbial and non-microbial spoiling. Microbial spoilage primarily results from the activity of bacteria, yeasts, and molds, which thrive under favorable environmental conditions. These microorganisms can lead to food poisoning and spoilage through the production of off-flavors, discoloration, slime formation, and the accumulation of harmful toxins. …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 1, 2025 · pp. 6–9 Read article
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A Review study of Mn-Zn Ferrite with Applications and Synthesis processes
Abstract: The distinct magnetic characteristics and adaptability of Mn-Zn ferrites make them broadly applicable in a wide range of industries and applications. Temperature stability, high electricity resistivity, magnetic permeability, permittivity, saturation magnetization, and low power losses are among the characteristics of Mn-Zn ferrites. These ferrites particularly in the form of magnetic nanoparticles, have garnered significant interest in cancer research and therapy and the biomedical field. Researchers are keenly interested in the …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 2, 2024 · pp. 15–26 Read article
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Real-time DDoS Attack Prediction in SDN Environments Using Machine Learning
Abstract: The ever-growing reliance on sdn-based services necessitates robust security measures against Distributed Denial-of-Service (DDoS) attacks that threaten service availability. This project investigates the development of a real-time prediction system for DDoS attacks in sdn environments, leveraging the power of machine learning. The proposed system employs a Decision Tree classification algorithm implemented in Python. To ensure accurate attack identification, the system meticulously addresses data preprocessing challenges inherent in network traffic datasets. …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 16–27 Read article
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Excoecaria agallocha Extract from Leaves Encounters Antifungal, Antibacterial, and Cytotoxic Activity – In Vitro Studies
Abstract: Mangroves contain a wide range of bioactive substances, certain of and these have been used as solutions for a variation of conditions for thousands of years. Excoecaria agallocha leaf application components have been extracted in the presence of organic solvents along with water-based with a Soxhlet apparatus and antibacterial research properties employing diffusion agar well assays towards nine different kinds of culture infectious agents, six clinical trials isolated compounds, as …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 2, 2025 · pp. 1–7 Read article