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1983 articles for “failure-prediction AUROC of 0.967” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Length–Weight and Girth Relationship, Condition Factor, and Stomach Contents of Pila Ovata from Otuoke/Otuaba River, Bayelsa State, Nigeria
Abstract: Otuoke/Otuaba River situated in Otuoke, Bayelsa State, Nigeria serves numerous purposes, such as fishing, laundry, human feacal disposal, amongst others. The river is home to Pila ovata, a mollusc which serves as a special delicacy in the meals of most Bayelsan due to its high protein content. The length-weight and girth relationship, condition factor and stomach contents of P. Ovata (Apple snail) from Otuoke/Otuaba River was studied. Snail samples were …
Published in International Journal of Marine Life · Vol. 2, Issue 1, 2025 · pp. 10–17 Read article
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AI For Climate Vulnerability Assessment
Abstract: Climate change is one of the biggest problems we face every day. The main problems are high temperatures, rising sea levels, and changes in weather, which will be worse in the upcoming years. To predict and adapt to these impacts, we need to create data-driven solutions. The main tool for predicting climate change was artificial intelligence, which can also be utilised to predict the weather and alert people of impending …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 1, 2025 · pp. 18–33 Read article
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Human-robot Collaboration in Manufacturing: Safety, Efficiency, and Technological Developments
Abstract: Human-robot collaboration (HRC) has emerged as a transformative force in modern manufacturing, significantly enhancing productivity, operational flexibility, and overall efficiency. This review article explores the fundamental aspects of HRC, with a particular focus on safety protocols, efficiency optimization, and technological advancements that are shaping the future of collaborative robotics. Ensuring safety in HRC environments is a primary concern, necessitating the implementation of advanced safety measures, risk assessment methodologies, and compliance …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 1, 2025 · pp. 18–23 Read article
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A Finite Element Analysis to Study the Effect of Hydrostatic Pressure on Steel Ductility
Abstract: The effect of superimposed hydrostatic pressure on percentage reduction of area (a gauge mark of the ductility) is investigated in round steel bars in tensile stress by employing a finite element analysis (FEA) with 8-node serendipity quadrilateral elements and von Mises plasticity flow rule in an elastoplastic power law hardening model. It is demonstrated that a linear relationship exists between the pressure and percentage reduction of area at any given …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 1, 2025 · pp. 41–51 Read article
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Quasi-Dimensional Thermodynamic Performance and Emission Modelling for Dual-Fuel SI Engine Operation Using Waste-Based Producer Gas and Methane
Abstract: Rising energy crisis and urgent need for better waste-handling techniques have gained significant attention. Integration of wastes-to-wealth and Green Energy evolution techniques are prime sustainable measures towards countering this menace. Moreover, Internal Combustion (IC) engines are significant energy consumers and their emissions play a major factor in global warming and ecological obliteration. Concerning these aspects, investigations should strive at emissions minimization and reutilization of low-impact industrial byproducts. Thus, using methane …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 446–458 Read article
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An Innovative Approach to Find the Optimum Lubricant for Diverse Applications Based on Scikit-Learn Library Using Python
Abstract: This paper presents an innovative approach for finding the optimum lubricant using the Scikit-learn library in Python. The proposed approach uses a linear regression model to analyze a dataset of lubricant properties and performance, specifically the viscosity, wear, and friction. The model is trained on the dataset to predict the wear and friction for a given viscosity, which can be used to identify the optimum lubricant. By analyzing a dataset …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 25–35 Read article
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Iot Based Environment Monitoring System
Abstract: Pollution combined with climate change is creating long-term problems for natural resources. Their impact on soil, air, and water cleanlinessis growing, requires smart, immediate solutions. In this paper, we report on an IoT-based Environment Monitoring System whose purpose is to monitor the air quality, temperature, humidity, and soil moisture content. It consists of an Arduino Uno, gas sensors (MQ135, MQ9, MQ6), a temperature sensor LM35, a soil moisture sensor, and …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 2, 2025 · pp. 8–14 Read article
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Exploring the Role of Small Dense LDL-C and Paraoxonase-I Activity in Lipid Profile Alterations in Postmenopausal Women: Evidence from a Population-Based Study in Punjab, India
Abstract: Background: After menopause, women face a higher risk of cardiovascular disease (CVD) because hormonal changes impact how their bodies process fats. This study aimed to explore the relationship between small dense LDL cholesterol (sdLDL-C), lipid profile, PON1 levels, thyroid function, CBC parameters, and cardiovascular risk in postmenopausal women (45–60 years) in Punjab, India. sdLDL-C is more atherogenic than larger LDL particles, while PON1, linked to HDL, offers heart protection. Thyroid …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 45–49 Read article
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Advanced Functional Nanocomposites: Graphene Oxide Integration into Polyvinyl Alcohol Matrix
Abstract: This research explores how incorporating graphene oxide (GO) into polyvinyl alcohol (PVA) can improve its mechanical and thermal characteristics, with the goal of creating multifunctional nanocomposites suitable for advanced technological applications. GO was introduced into the PVA matrix at 0.5, 1, and 2 wt% via a scalable solution casting method. The resulting nanocomposites were characterized mechanically, thermally, and spectroscopically. Tensile testing revealed a significant improvement in mechanical performance, with tensile …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 50–59 Read article
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Fault Detection in Solar PV Systems Integrated with the Power Grid: Evaluating Logistic Regression through Confusion Matrix Analysis
Abstract: This paper proposes a method for failure detection in grid-integrated solar photovoltaic (PV) systems using logistic regression and real-time sensor data. The approach effectively classifies and identifies seven distinct fault types. The developed model demonstrates a high fault identification accuracy, ranging from 93% to 96.5% across various fault types and operational conditions. By leveraging logistic regression, the system utilizes key independent variables that significantly influence the classification process. Additionally, the …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 45–52 Read article
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AI-based Drug Discovery-Revolutionizing Pharmaceutical Research
Abstract: The traditional drug discovery process is often costly, time-consuming, and prone to high failure rates. The advent of Artificial Intelligence (AI) has revolutionized this field by significantly enhancing efficiency, reducing costs, and improving success rates. AI-driven approaches, including machine learning (ML), deep learning (DL), and natural language processing (NLP), have transformed key areas such as drug target identification, molecular screening, lead optimization, and clinical trial design. AI models can analyze …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 30–44 Read article
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Recycling of Plastic Waste Using Mini Shredder
Abstract: In the current situation, plastic use is expanding daily, leading to a significant environmental problem. Plastics can negatively affect soil organisms in a variety of ways through complex interactions. For example, it has been found that microplastics seep into the soil and change its physical makeup, which lowers the soil's ability to hold water. Particularly in India, people generate 26,000 tons of plastic waste every day which is equivalent to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 426–435 Read article
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Composite Fabrication by Stir-Cast for Al C355.0 With Particulates Hematite Reinforcements at Different Weight Percentages in Copper Chills with and Without Water Circulation for Mechanical and Fatigue Performance
Abstract: This study investigates the fabrication of aluminum matrix composites using the stir casting method to analyze the mechanical characterization and fatigue behavior of Al C355.0 composites reinforced with varying weight percentages of hematite particulates. The hematite content was systematically adjusted from 0 wt. % to 12 wt. % in 3 wt. % increments, with the presence of constituent elements confirmed through Energy Dispersive Spectroscopy (EDS). The incorporation of hematite reinforcement …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 324–336 Read article
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Effect of Salinity and Spraying of Spirulina sp. Extract on some Morphological and Physiological Characteristics of Anise (Pimpinella anisum L.)
Abstract: The experiment was conducted during the academic year (2023-2024) in the Al-Ghammas area, affiliated with Al-Shamiya District / Diwaniyah Governorate, with the aim of studying the effect of salinity of irrigation water and spraying Spirulina plantensis algae extract on some phenotypic and physiological growth characteristics of the anise plant Pimpinella anisum. Which were measured in the laboratories of the Department of biology/ College of Education for women - University of …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 3, 2025 · pp. 1–7 Read article
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Enhanced Mechanical and Tribological Performance of Magnesium–Boron Carbide Composites Fabricated via Stir Casting for Lightweight Structural Applications
Abstract: This study investigates the fabrication and evaluation of properties of magnesium (Mg) matrix composites reinforced with boron carbide (B₄C) for lightweight structural applications. Stir casting was employed to incorporate B₄C particles at varying weight fractions (0%, 3%, 6%, and 9%) into the magnesium matrix. The influence of B₄C on density, porosity, hardness, tensile strength, and wear resistance was systematically examined. Theoretical density increased from 1.74 g/cm³ (pure Mg) to 1.88 …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 29–39 Read article
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Comparative Evaluation of GPBB and CK-MB in Early Diagnosis of Acute Myocardial Infarction in Diabetic and Non-Diabetic Patients
Abstract: Background: Acute myocardial infarction (AMI) continues to be a leading cause of morbidity and death among people worldwide. To lower the risk of problems, early and precise diagnosis is essential, particularly for diabetes patients. The study investigates the diagnostic value of Glycogen Phosphorylase BB (GPBB), a potential early biomarker of myocardial necrosis, and compares it with CK-MB, a widely used cardiac marker, in AMI diagnosis. Inflammatory markers (hs-CRP, IL-6, TNF-α) …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 33–37 Read article
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Transformer Health Monitoring System
Abstract: Rising demands for reliable and efficient power distribution in modern electric control grid increasingly call up for robust monitoring systems for critical substructure. Being a vital part of the power conduction system, transformer are subjected to mechanical, electrical, and environmental stresses, which, if not properly controlled, can cause failures. In this project, we propose a Transformer Health Monitoring System (THMS) using machine learning (ML) models and real-time monitoring method to …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 1–9 Read article
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The Relationship between Presentation of Online Self and Conscientiousness in Emerging Adults in India
Abstract: With the rise of social media use, understanding how individuals curate their online presence and experiment with different aspects of their digital identity is crucial in determining whether their online self is an extension of their offline identity or a distinct construct. This necessitates an examination of personality traits, particularly conscientiousness, to explore its role in online self-expression. Existing research suggests that individuals with high conscientiousness tend to maintain consistency …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 · pp. 38–45 Read article
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Communication Pathways and Project Success: Analyzing Stakeholder Coordination Impacts on Construction Outcomes
Abstract: It is very critical to have effective communication and coordination among stakeholders for the successful delivery of the projects. Effective communication keeps stakeholders well-informed about project progress, promoting transparency, trust, and collaboration. Coordination ensures that responsibilities and resources are efficiently allocated, reducing the risk of misunderstandings and enhancing decision-making processes. Inadequate stakeholder engagement can lead to confusion, delays, rework, and the failure to meet key project milestones. The impact of …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 · pp. 104–126 Read article
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Tribological Behaviour of PTFE based Composite Materials with Different Filler Materials: A Combine Numerical and Experimental Approach
Abstract: This study investigates the tribological behaviour of Polytetrafluoroethylene (PTFE) composites reinforced with various fillers, utilizing the Archard wear model to analyse wear mechanisms and predict wear rates. PTFE is widely recognized for its excellent chemical resistance and low friction, but its inherent wear resistance is relatively poor. To enhance its tribological properties, fillers such as glass fibres, carbon fibres, bronze, and graphite were incorporated into the PTFE matrix. In the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 547–557 Read article