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2000 articles for “Effectiveness” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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INTERVENTIONS OF LEGISLATION AND ENGINEERING REGULATORY BODIES AS A TOOL FOR ADDRESSING WATER RELATED ISSUES IN NIGERIA
Abstract: ABSTRACT Nigeria faces persistent water-related challenges which include inadequate urban water supply, fragmented governance, groundwater pollution, unsustainable abstraction, poor infrastructure operation and maintenance, and weak enforcement of standards. This paper examines how legislation and engineering regulatory bodies when properly designed and applied can be deployed as practical tools to tackle these problems. Using a multi-method approach-a policy analysis, case studies, and interviews with stakeholders-these are the main gaps in enforcement …
Published in International Journal of Water Resources Engineering · Vol. 11, Issue 2, 2025 · pp. 20–37 Read article
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Comparative Analysis of Equity Considerations in Heritage Preservation Policies Across Different Cultural Contexts: A Case Study with Indian Context
Abstract: This paper offers a comprehensive and multi-layered analysis of how equity principles are robustly integrated into heritage preservation policies across diverse international and national cultural contexts, with a focused and detailed emphasis on India. The core objective is to move significantly beyond conventional, site-focused conservation paradigms to meticulously assess the extent to which existing heritage frameworks actively address fundamental issues of social justice, inclusive governance, and the equitable distribution of …
Published in International Journal of Architectural Heritage · Vol. 8, Issue 2, 2025 · pp. 1–6 Read article
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BEHAVIORAL STUDY OF REINFORCED CONCRETE BUILDINGS DURING MAINSHOCK–AFTERSHOCK EARTHQUAKES
Abstract: ABSTRACT - Earthquakes are among most destructive natural hazards, often causing widespread damage to buildings and vital infrastructure. The extent of this damage depends on various factors, one of which is the nature of fault movement. The point of initial rupture beneath the Earth’s surface is known as the hypocenter or focus. Seismic activity can be broadly divided into two categories: mainshocks and aftershocks. While the mainshock generally causes the …
Published in International Journal of Concrete Technology · Vol. 11, Issue 2, 2025 · pp. 6–14 Read article
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Utilization of Brick Dust and Rice Husk Ash for Sustainable Cement Replacement in M20 Grade Concrete
Abstract: AbstractThe study evaluates the influence of replacing cement with Fly Ash, Brick Dust, and Rice HuskAsh on the compressive strength of concrete. Cement replacement was conducted at varyingpercentages (5%, 10%, 15%, 20%, 25%, 30%, 35%, and 40%) for M20 grade concrete, andcompressive strength was assessed at 7, 28, 90, and 180 days. The results demonstrate thatpartial cement replacement can achieve comparable or improved strength performance up to anoptimal level, beyond …
Published in International Journal of Concrete Technology · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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Smart Technologies for the Modernization of Ready-Mix Concrete Operation
Abstract: Abstract Ready-mix concrete is a product that is ready to use. It is made up of cement, sand, aggregate, and water.In accordance with client requirements, a transit mixer transports the combined material to the location.Ten years ago, ready-mix concrete was first introduced to the Indian construction industry; however, itshigh tax rates and excessive costs initially hindered its widespread use. However, it became more popularbecause it required less strength, time, and …
Published in International Journal of Concrete Technology · Vol. 11, Issue 2, 2025 · pp. 31–50 Read article
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Exploring Antiviral Organic Compounds
Abstract: Antiviral drugs are a class of medication used for treating viral infections [1]. Most antivirals target specific viruses, while a broad-spectrum antiviral is effective against a wide range of viruses [2]. Antiviral drugs are a class of antimicrobials, a larger group which also includes antibiotic (also termed antibacterial), antifungal and antiparasitic drugs or antiviral drugs based on monoclonal antibodies [3, 4] Most antivirals are considered relatively harmless to the host, …
Published in International Journal of Energetic Materials · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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Gourmet Sage Using Deep Learning With Calories Chart
Abstract: Gourmet Sage via Deep Learning with Calories Chart is an innovative system that merges advanced deep learning technology with nutrition science to help users make healthier dietary choices. By leveraging YOLOv8, a cutting-edge object detection model, the system allows real-time identification of food items, estimating their calorie content and ingredient composition with remarkable accuracy. It goes beyond detection by providing a comprehensive nutritional breakdown, including macronutrients (proteins, fats, carbs) and …
Published in International Journal of Image Processing and Pattern Recognition Read article
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Experimental Study on Charging Conditions of a Single Component DDT Detonator Using Nickel Hydrazine Nitrate
Abstract: As a salt of a coordination compound of nickel, nickel hydrazine nitrate (NHN) is an energetic substance with characteristics halfway between those of primary and secondary explosives. It is less sensitive to friction and mechanical impact than other primary explosives, although it is highly sensitive to flames. NHN is not very dangerous to handle, but it explodes readily when exposed to flame. This property makes it possible to fabricate safety …
Published in International Journal of Energetic Materials · Vol. 11, Issue 2, 2025 · pp. 1–12 Read article
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Automated Image Captioning Using Xception–CNN and LSTM for Descriptive Sentence Generation
Abstract: Generating descriptive texts for images is a complex and challenging task that requires advanced deep learning techniques. This paper presents a descriptive sentence generator for images using a combination of convolutional neural networks and recurrent neural networks. The proposed model utilizes a pretrained convolutional neural network, Xception, to extract image features, which are then processed by a long short-term memory network to generate meaningful textual descriptions. The model is trained …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 20–28 Read article
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Improved Programming Model Using AI: Shifting from Imperative Coding to Declarative Intent
Abstract: The contemporary software development lifecycle is burdened by significant cognitive friction, characterized by high demands for syntax recall, boilerplate management, and painstaking manual debugging. This paper proposes and examines a novel programming model built upon deeply embedded artificial intelligence, moving beyond simple code completion tools to establish a truly intent-based, declarative development environment. The proposed model leverages specialized large language models and domain-specific generative agents (Cognitive Programming Assistants, or CPAs) …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 2, 2025 · pp. 1–9 Read article
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Redefining Land Ownership: A Blockchain-Powered Framework for Transparent and Decentralized Land Record Governance
Abstract: Conventional land record management systems have long suffered from issues, such as inefficiency, data manipulation, corruption, and lack of transparency, which collectively hinder effective governance and erode public trust. This paper introduces a blockchain-based framework aimed at revolutionizing land record management by ensuring enhanced transparency, data security, and operational efficiency. The proposed system leverages the decentralized and immutable nature of blockchain technology to eliminate the need for intermediaries, thereby minimizing …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 2, 2025 · pp. 27–39 Read article
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Cloud Security Using Machine Learning: A Study
Abstract: The rapid adoption of cloud computing has revolutionized IT infrastructure, offering unprecedented scalability, flexibility, and cost efficiency. However, this paradigm shift introduces a new spectrum of sophisticated security challenges that traditional, signature-based security mechanisms often struggle to address effectively given the dynamic, multi-tenant, and distributed nature of cloud environments. This paper explores the critical role of Machine Learning (ML) as a potent paradigm for strengthening cloud infrastructure. ML emerges as …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 21–30 Read article
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Blockchain as the Bard of Securities Settlement: A New Way to Think About Trust, Speed, and Openness
Abstract: One of the most promising uses of blockchain technology in financial markets is to modernize securities settlement procedures. Centralized intermediaries, like clearing houses and custodians often cause delays, operational inefficiencies, and counterparty risk in traditional settlement systems. Blockchain, or distributed ledger technology (DLT), can completely change this infrastructure by making real-time, peer-to-peer settlement possible, increasing transparency, and making recordkeeping unchangeable. This article looks at the legal, regulatory, and operational effects …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 13–20 Read article
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Fog Computing Architecture and Deployment in IoT
Abstract: The relentless proliferation of Internet of Things maneuvers generates colossal volumes of data at the network edge, straining traditional cloud-centric paradigms with inherent limitations in latency, bandwidth, resilience, and privacy. This necessitates a paradigm shift towards distributed intelligence. Fog Computing arises as a pivotal architectural paradigm, extending computational, storage, and networking capabilities closer to the data source, thereby mitigating latency, reducing bandwidth consumption, and enhancing real-time processing capabilities for critical …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 31–39 Read article
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Statistical Modeling of Diffusion of Heavy Metals from Waste Oil in Soil Environment Using Regression Analysis
Abstract: Regression analysis is a statistical tool or method used to estimate the relationship between dependent variable and one or more independent variables. The diffusion and statistical model of heavy metals in soil are critical factors influencing pollutant migration and environmental remediation strategies. Understanding the diffusion and statistical method of analyzing the adsorption of heavy metals in soils is crucial for assessing environmental contamination and designing effective remediation strategies. This study …
Published in International Journal of Analytical and Applied Chemistry · Vol. 11, Issue 2, 2025 · pp. 1–15 Read article
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Analysis of Non-Uniform Damped Rayleigh BeamResting on Pasternak Foundation Subjected toDistributed Load with Variable Axial Force
Abstract: In this paper, damped non-uniform Rayleigh beam resting on Pasternak foundation and subjected to distributed load with variable axial force has been investigated. The solution techniques to the governing equation describing the dynamical system are based on Galerkin’s method, Laplace integral transformation in conjunction with convolution theorem. Galerkin’s method is explored to reduce the fourth order non-homogeneous partial differential equation to a second order ordinary differential equation. The resulting equation …
Published in International Journal of Composite Materials and Matrices · Vol. 11, Issue 2, 2025 · pp. 26–35 Read article
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Impact of Digital Environmental Engagement on Environmental Attitude and Pro-environmental Behaviour among Degree Students in Nilgiris District
Abstract: The contemporary digital world has recorded several environmental disasters al, around the world which has necessitates the need for an urgent action. Integrate technology to fight against the environmental crisis should be one of the most effective actions for this purpose. The present study aims to examines the impact of digital environmental engagement on environmental attitude and pro-environmental behaviour among the degree students in Nilgiris district. Participants (N=120) were recruited …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 2, 2025 · pp. 63–67 Read article
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Economical ways to synthesize Nucleotides from Safe and Cheaper raw materials
Abstract: Cytosine is a fundamental nitrogenous base present in both DNA and RNA, playing a critical role inessential cellular processes such as replication, transcription, gene regulation, signal transduction, andDNA repair. Due to its central biological importance, the efficient and cost-effective synthesis of cytosinehas garnered significant interest across biochemical, pharmaceutical, and industrial sectors. However,most conventional synthetic methods rely on complex enzymatic transformations or require expensiveand structurally elaborate starting materials, thereby limiting their …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 11, Issue 2, 2026 · pp. 1–7 Read article
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Economical ways to synthesize Nucleotides from Safe and Cheaper raw materials
Abstract: Cytosine is a fundamental nitrogenous base present in both DNA and RNA, playing a critical role inessential cellular processes such as replication, transcription, gene regulation, signal transduction, andDNA repair. Due to its central biological importance, the efficient and cost-effective synthesis of cytosinehas garnered significant interest across biochemical, pharmaceutical, and industrial sectors. However,most conventional synthetic methods rely on complex enzymatic transformations or require expensiveand structurally elaborate starting materials, thereby limiting their …
Published in International Journal of Chemical Synthesis and Chemical Reactions Read article
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A look at friction stir processing for making better surface properties
Abstract: Abstract Friction stir processing is a surface properties modification method consequential from friction stir welding. The process uses a non-consumable tool made up of tool steel material. The tool pin and shoulder plunged in the surface of the base material plates and it mover along the predetermined path. The frictional heat stimulates the plastic deformation during the process & enhances the dynamic recrystallization. The process represents an advanced approach that …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 2, 2025 · pp. 41–47 Read article