Search
1977 articles for “BASE” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Comparative Assessment of Fire Resistivity of the Construction Materials for Shelves and Bases at Lagos Markets in Nigeria
Abstract: Reoccurring fire outbreaks in markets is a problem in Nigeria; especially in Lagos. To minimise this problem, a research was conducted on the three major markets in Lagos with the aim of comparatively assessing the fire resistivity of the constructi. on materials for their shelves and bases for keeping goods, in order to provide guidelines for designing shelves and bases of market buildings in Nigeria. The research data were gathered …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 11, Issue 3, 2022 · pp. 40–45 Read article
-
Fabrication and Characterization of Zinc-based Alloy for Bio-implants
Abstract: Zinc-based alloys are potential biodegradable implants and can replace Magnesium and Titaniumbased materials via engineering their biomechanical properties with Zinc. Implants, due to their intricate geometries are difficult to fabricate by conventional manufacturing techniques. Therefore, they are usually fabricated by Additive manufacturing and Powder metallurgy techniques. In the present work, Zinc, Magnesium, manganese and titanium are alloyed using powder metallurgy technique. Vickers micro-hardness, UTM, Zeiss microscopy and Corrosion testing using …
Published in Journal of Polymer & Composites · Vol. 11, Issue 7, 2023 · pp. 1–13 Read article
-
Mitigation of Location-based Attacks for Increased User Privacy
Abstract: Designing an effective method to mitigate location-based attacks is a pressing imperative in the realm of cybersecurity. As our world becomes increasingly interconnected through the Internet of Things and location-aware services, the risks associated with the misuse of location data continue to escalate. Location-based attacks encompass a spectrum of threats, from geolocation spoofing and eavesdropping to geo-tagging abuse, potentially leading to severe privacy invasions and security breaches. This abstract provides …
Published in International Journal of Mobile Computing Technology · Vol. 1, Issue 2, 2023 · pp. 1–5 Read article
-
The Influence of Fresh Raffia Palm Trunk on the Bioremediation of Oil-Based Drill
Abstract: This study determines the effect of fresh raffia palm for biodegradation of oil-based drill cuttings bioremediation. The experiment was conducted at the rivers institute of Agricultural research and training (RIART) located at the Rivers State University, Port Harcourt. Samples of oil-based drill cuttings were bulked in eleven reactors with four replications (T1, T2, T3-T11). The physiochemical properties of the initial drill cuttings were analyzed. Also, the physiochemical properties of the …
Published in International Journal of Pollution: Prevention & Control · Vol. 1, Issue 2, 2023 · pp. 41–48 Read article
-
Formability analysis of steel and copper based alloy sheet by using Erichsen Cupping Test Machine
Abstract: Metallic material formability study is critical in a variety of industrial areas, including automotive, aerospace, and manufacturing. The present study aims to investigate the formability properties of steel and copper-based alloy sheets using the Erichsen cupping test machine, an established technique for evaluating sheet metal formability. The process involves manufacturing identical steel and copper-based alloy specimens and subjecting them to the Erichsen cupping test. The test determines the maximum deformation …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 49–57 Read article
-
IT Security and Intrusion Detection Systems: An Introduction
Abstract: This article deals with the current status of IT security in an industrialized country and one of the many approaches. The emphasis is on what are known as intrusion detection systems. These enable users to detect suspicious behavior and attacks in daily IT operations by analyzing data, resources, and network flows. Based on previous research, the different variants, available detection types, and their working methods are briefly explained and presented. …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 10–17 Read article
-
A Review on Loan Approval Prediction Based on Machine Learning Techniques
Abstract: The banking industry has also benefited greatly from technological advancements. An increasing number of individuals are submitting loan applications on a daily basis. When deciding which loan applicants to approve, the bank must take certain rules into account. The bank needs to choose the best one for approval based on certain characteristics. The process of carefully verifying every person and recommending them for loan approval is laborious and fraught with …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 1–11 Read article
-
Navigating Risk-Based Approaches in Quality Assurance: Strategies, Implementation, and Impact
Abstract: This review investigates the implementation of a risk-based approach within Quality Management Systems (QMS) as stipulated by ISO 9001:2015 regulations. It scrutinizes the challenges organizations encounter when transitioning to ISO 9001-2015 requirements, particularly focusing on the alignment of conceptual frameworks and processes among stakeholders. A key objective of this review is to propose a refined definition of "quality risk" and "risk-based thinking in QMS" to address the idiosyncratic characteristics of …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 2, 2024 Read article
-
Enhancing Breastfeeding Practices Through a Biopolymer-Based Educational Intervention
Abstract: Background: Breastfeeding difficulties are common among new mothers, and knowledge gaps can contribute to these challenges. Educational interventions hold promise in improving breastfeeding practices. This study aimed to evaluate the effectiveness of a biopolymer-based educational intervention in enhancing mothers' knowledge and practices regarding breastfeeding problems and their prevention. Methods: A quantitative pre-post-test design was employed with a sample of 54 postnatal mothers in a multispecialty hospital. A biopolymer-based educational intervention …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 114–118 Read article
-
A Polymer-Based Recommender System for Precision Agriculture: Enhancing Crop Yield Analysis Using IoT Technology
Abstract: This study introduces an innovative recommender system that employs polymer-based sensors combined with advanced data analytics to deliver personalized recommendations for crop management optimization. The use of polymer-based materials in sensor design allows for the creation of durable, cost-effective, and efficient sensors, well-suited for the challenging conditions typical in agricultural environments. These sensors are designed to withstand variations in numerous factors like temperature of the surrounding, humidity level, and at …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 86–95 Read article
-
Polymer-Based Materials in Green and Sustainable Construction
Abstract: The escalating impacts of global warming, driven by greenhouse gas emissions, demand urgent action in the construction sector, which contributes over 40% of global CO₂ emissions. Smart buildings, designed to optimize energy use, water efficiency, and occupant comfort through automation and advanced materials, represent a transformative response to these challenges. The convergence of sustainability and urban development has spotlighted the need for green materials in smart building design. With buildings …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 42–48 Read article
-
IoT Based Electricity Theft Detection System
Abstract: The proliferation of smart grids and advanced metering infrastructure has paved the way for innovative solutions to tackle the longstanding issue of electricity theft. This study presents an IoT-based electricity theft detection system that leverages real-time data analytics and machine learning algorithms to identify potential theft cases. The proposed system utilizes smart meters to collect electricity consumption data, which is then transmitted to a central server for analysis. The system …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 2, 2025 · pp. 18–22 Read article
-
Investigating The Alkalizing Potential of Chandanasava For Restoring Acid-Base Homeostasis in Renal Tubular Acidosis: A Computational and In Silico Pharmacological Study
Abstract: Chandanasava, a traditional Ayurvedic formulation, is recognized for its potential alkalizing properties, which may help restore acid-base homeostasis in conditions such as renal tubular acidosis (RTA). This study aims to investigate the active components of Chandanasava and their interactions with key renal target proteins, Pendrin and Carbonic Anhydrase II, which are essential for maintaining acid-base balance. An in silico approach was utilized to explore the pharmacological potential of the phytochemicals …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 28–52 Read article
-
Enhancement of Thermo-hydraulic Properties of a Novel Composite-Based Spiral Fin Tube Heat Exchanger: An Experimental Investigation
Abstract: It is now crucial for engineers to enhance procedures and boost heat exchanger efficiency. Heat exchanger performance can be significantly enhanced by a variety of methods. Composite-based fins or enlarged surfaces are frequently utilized to increase the air-side heat transfer rate in a variety of heat transfer applications. Because composite materials are lightweight, highly thermally conductive, and resistant to corrosion, they were used. A composite based fin's efficiency is influenced …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 238–251 Read article
-
Stacked Generalization-Based Deep Learning Approach for Pneumonia Detection
Abstract: The proposed work focuses on a stacked generalization-based approach for diagnosing pneumonia from chest X-ray images. It utilizes regularization, early stopping, and data augmentation to deal with overfitting. It uses safe level SMOTE to deal with class imbalance and attention-based feature fusion to adaptively weigh features based on their importance. It uses two publicly available datasets (RSNA and Kermany) with ground truth provided by expert radiologists. The proposed work used …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 20–31 Read article
-
AI-Based Intelligent Traffic Signal Management System: A Review
Abstract: Traffic congestion is a growing problem in urban areas worldwide, leading to economic losses, increased pollution, and commuter frustration. Traditional traffic management systems rely on fixed timing cycles and lack adaptability to real-time traffic conditions. Intelligent traffic light control systems based on artificial intelligence (AI) have become a viable substitute for traditional techniques. These systems are able to evaluate large volumes of traffic data in real time, identify patterns, and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
-
Interfacial Bonding and Performance of Polymer-Based CFRP Composites in Externally Applied Configurations
Abstract: Polymer-based carbon fiber reinforced polymer (CFRP) composites are widely used for externally bonded strengthening and retrofitting applications due to their high strength-to-weight ratio and adaptability to existing structures. In such systems, overall performance is governed not only by the fiber–matrix interaction within the laminate, but more critically by the polymer adhesive layer and its interaction with the substrate. Polymer chemistry, interfacial bonding mechanisms, processing conditions, and environmental exposure collectively influence …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 952–966 Read article
-
Evaluation of Polyethylene Glycol (PEG)-Based Polymers for Improving Solubility and Bioavailability of Poorly Soluble Drugs
Abstract: A significant barrier to optimizing oral bioavailability is the inadequate water solubility of numerous pharmaceutical compounds. This study examined whether polymer systems utilizing polyethylene glycol (PEG) may enhance the solubility and bioavailability of a poorly soluble model drug. Multiple PEG polymers with molecular weights between 2,000 and 10,000 Da were utilized to produce PEGylated preparations. The formulations were subsequently evaluated for dissolution efficacy, medication loading capacity, particle size, and solubility …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 489–499 Read article
-
Mental Health in the Post-Pandemic Era (COVID-19): Community-Based Interventions for Resilience and Well-Being
Abstract: Background: The COVID-19 pandemic has had a major psychological effect, causing anxiety, depression, stress, and social disruption around the world. Community-level mental health programs have become widely available methods for promoting resilience and mental well-being, especially in resource-limited contexts. Aim: The aim was to assess the effectiveness of community-based mental health interventions in promoting psychological resilience and overall well-being in the post-pandemic period. Methodology: A cross-sectional, mixed-method, community-based study was …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 Read article
-
Adaptive Drift Correction in Polymer-Based Wearable Biosensors via Data-Driven Signal Modeling
Abstract: Polymer-based wearable biosensors have emerged as a promising technology for continuous health monitoring due to their mechanical flexibility, biocompatibility, and suitability for long-term physiological interfacing. However, prolonged exposure to biofluids, environmental variability, and mechanical deformation introduces signal drift, which significantly degrades measurement accuracy and limits clinical reliability. This paper presents a data-driven methodology for compensating signal drift in polymer-based wearable biosensors using adaptive signal processing and machine learning techniques. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 131–139 Read article