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1964 articles for “F1-score of 0.918” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Composite Behavior of Bagasse Ash Stabilized Expansive Soil with Sodium Benzophenone Under Curing Conditions
Abstract: The present investigation examines the development of a hybrid composite using Black Cotton (BC) soil, Bagasse Ash (BA), and Sodium Benzophenone (SBP) as performance-enhancing elements. Different ratios of BA, a silica-rich agro-industrial by-product, were added to improve pozzolanic reactivity and particle size distribution (0%, 6%, and 12%). SBP was added in the range of 0–0.6% as a compatibilizer in order to enhance interfacial adhesion, particle cohesivity and moisture-assisted deterioration resistance. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1134–1146 Read article
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Knowledge, Attitude, and Practice Regarding Breast Cancer and Its Prevention Among Adolescent School-Going Girls
Abstract: Introduction: Breast cancer claims the lives of over 500,000 women globally each year. In low-resource settings, most women are diagnosed at an advanced stage of the disease, resulting in low 5-year survival rates, typically ranging between 10 and 40%. However, in regions where early detection and basic treatment are both available and accessible, the 5-year survival rate for early-stage localized breast cancer can exceed 80%. Objectives of the Study: The …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 1–9 Read article
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Enhanced Multimodal Disease Prediction Using Hybrid Ensemble Learning and AutoML Techniques
Abstract: The integration of hybrid ensemble learning and automated machine learning (AutoML) is revolutionizing disease prediction by addressing the complexity, imbalance, and high dimensionality inherent in medical datasets. This paper proposes an advanced pipeline that combines diverse ensemble learning models with AutoML-based optimization to predict chronic diseases such as kidney diseas-e, Parkinson’s disease, and lung cancer. Publicly available datasets from UCI and PhysioNet repositories were preprocessed using outlier removal, normalization, and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 10–20 Read article
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Assessing Nanomaterial Toxicity and Environmental Behavior: Toward Sustainable and Safe Nanotechnology
Abstract: The rapid advancement of nanotechnology has introduced engineered nanomaterials into diverse sectors including medicine, agriculture, electronics, and consumer products. However, the unique physicochemical properties that make nanomaterials valuable also raise significant concerns about their potential toxicity to human health and ecological systems. This study presents a comprehensive survey-based analysis of 400 respondents from diverse professional backgrounds across seven countries to assess perceptions and understanding of nanomaterial toxicity mechanisms and environmental …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 1, 2025 · pp. 1–11 Read article
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Study to Assess the Effectiveness of a Structured Teaching Program on Knowledge Regarding Management of Snake Bite at the Emergency Department Among Emergency Care Nurses at Selected Health Wellness Centers
Abstract: Animal bites are the leading cause of death; the delay in identification of bites, accessibility to medical aid, and transportation are contributing factors for morbidity. Among the animal bites snake bite is the most crucial and anxiety-filled situation for the casualties. Early rapid identification of the type of bite and prompt intervention will restore emergency. Emergency department working nurses are the first responders for the management of all casualties. The …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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EMOTION RECOGNITION FROM ELECTROENCEPHALOGRAM SIGNAL AND EYE MOVEMENT BASED ON DEEP LEARNING
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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A Quasi-Experimental Study to Assess the Effectiveness of Yog-Nidra on Improving Quality of Life Among Cancer Patients Undergoing Radiotherapy in Selected Cancer Hospitals at Raipur (Chhattisgarh)
Abstract: The present study aimed to evaluate the effectiveness of Yog-Nidra on improving the quality of life among cancer patients undergoing radiotherapy. The specific objectives were to assess pre-test and post-test scores before and after the Yog-Nidra intervention in both experimental and control groups, determine its effectiveness in enhancing quality of life, and identify any associations between pre-test scores and selected demographic variables. A pre-experimental one-group pre-test and post-test design was …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 29–55 Read article
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Combining Unstructured and Structured Clinical Data in a Hybrid Transformer Model to Enhance Cardiovascular Analytics and Clinical Decision- Making
Abstract: Since cardiovascular disease (CVD) continues to be a major global cause of morbidity and mortality, early and accurate risk prediction is essential for prompt intervention and individualized treatment. This study introduces a new hybrid transformer-based model that combines unstructured clinical narratives, structured data, and customized lifestyle characteristics. A comprehensive understanding of disease progression is made possible by the model's ability to capture contextual, temporal, and patient- specific insights through the …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 · pp. 30–37 Read article
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Combustion Synthesis and Comprehensive Characterization of Pure and Ni-Doped CuFe₂O₄ Nanoparticles for Functional Composite Applications
Abstract: The CuFe2-xNixO4 (x = 0, 0.1, 0.3, and 0.5) nanoparticles were synthesized using a combustion method and comprehensively characterized to understand their suitability for polymer-based composite applications. X-ray diffraction confirmed the formation of a single-phase spinel ferrite structure with crystallite sizes of 20–30 nm. Energy-dispersive X-ray spectroscopy verified the successful incorporation of Ni ions into the CuFe₂O₄ lattice, while FE-SEM analysis revealed uniformly dispersed nanoscale particles desirable for composite reinforcement. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1–11 Read article
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Effect of Ply Orientation on Thermal Erosion and Conductivity of Silica Phenolic Composites Under Oxy-Acetylene Flame
Abstract: The thermal and erosion performance of fiber-reinforced composites is highly sensitive to fiber architecture, matrix chemistry, and processing techniques, factors that have shaped development of advanced thermal protection systems (TPS) over past two decades. Silica phenolic (SP) composites, in particular, are widely employed in aerospace and defense applications due to their flame resistance, char stability, and ability to withstand severe thermal shock. However, optimizing thermal conductivity while improving erosion resistance …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 273–283 Read article
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The Influence of Self-Efficacy on Anxiety and Perfectionism among Dancers
Abstract: The world of dance, though celebrated for its creativity and artistic freedom, often carries considerable psychological demands on performers. Beyond the physical rigor, dancers navigate pressures of performance standards, audience expectations, and internalized goals of perfection. This study examined how self-efficacy—an individual’s belief in their own capability—shapes the experiences of anxiety and perfectionism among dancers, with a particular focus on gender differences. A balanced sample of 120 dancers (60 males …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 37–44 Read article
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Machine Learning Assisted Optimization of Nanoscale MOSFET Parameters Using TCAD Simulation
Abstract: This paper presents a machine learning (ML) assisted framework for the multi-objective optimization of nanoscale bulk n-channel metal-oxide-semiconductor field-effect transistors (nMOSFETs) with a 10 nm physical gate length, high-k HfO₂ gate dielectric, and TiN metal gate. Technology computer-aided design (TCAD) simulations employing drift-diffusion transport, Shockley-Read-Hall recombination, Lombardi mobility degradation, and density- gradient quantum correction models are used to generate a parametric dataset of 2,400 device configurations spanning gate length (L), …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 1, 2026 · pp. 10–19 Read article
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Assessing Digital Literacy among the Oraon Tribe of Jharkhand: A Study
Abstract: Digital literacy is essential for inclusion and socioeconomic empowerment in the digital era. This study examines the digital literacy levels of the Oraon tribe in Jharkhand, with a focus on identifying skill gaps, demographic disparities, and barriers to digital access. A mixed-methods approach was employed to gather data from respondents in the Ranchi district, utilizing structured questionnaires and interviews. Male respondents made up the majority (61.5%), with the largest age …
Published in Recent Trends in Social Studies · Vol. 3, Issue 1, 2026 · pp. 06–12 Read article
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IoT-Enabled Monitoring of AC Condensate Water for Quality Assessment and Early Detection of HVAC System Health
Abstract: The shortage of water and expensive reactive maintenance of HVAC are major problems in the modern building management. The paper introduces an Internet of Things (IoT)-enabled air conditioning (AC) condensate to water resource (predictive maintenance) and sustainable water reuse. The nature of our approach defines the quality of the condensate water at the baseline and indicates that it contains low levels of total dissolved solids (TDS) and has almost neutral …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 1, 2026 · pp. 25–35 Read article
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Design and Validation of an Artificial Intelligence-Driven Digital Twin for Real-Time Monitoring and Control in Polymer Composite Manufacturing
Abstract: Polymer Matrix Composites (PMCs) have become indispensable in high-performance sectors such as aerospace and automotive engineering, offering exceptional strength-to-weight ratios that outperform traditional metals in many demanding applications. However, the reliability of manufacturing PMCs via Vacuum-Assisted Resin Transfer Molding (VARTM) is frequently undermined by stochastic process variabilities. Unpredictable fluctuations in thermal history, preform permeability, resin rheology, and ambient conditions often lead to some defects; namely voids, dry spots, and incomplete …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 224–233 Read article
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Integrating Social Perception and Economic Valuation for Riparian Zone Preservation: Evidence from Kiliti Watershed, Ethiopia
Abstract: Riparian zones play a crucial role in maintaining watershed health by providing ecosystem services such as water filtration, erosion control, biodiversity conservation, and aesthetic and cultural benefits to surrounding communities. Despite their importance, riparian areas in many developing countries are increasingly degraded due to agricultural expansion, grazing pressure, and settlement encroachment. This study integrates social perception analysis with economic valuation to assess riparian zone preservation in the Kiliti Watershed, Northwestern …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 4, Issue 1, 2026 · pp. 49–55 Read article
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Very Short-Term Load Forecasting Using Gaussian Process Regression
Abstract: Very Short-Term Load Forecasting (VSTLF) is critical for real-time grid stability, frequency control, and economic dispatch. This study proposes a Gaussian Process Regression (GPR)-based framework for one-hour-ahead load forecasting using hourly data from January 2020 to April 2024 for Delhi, India. The model incorporates meteorological data such as temperature, humidity, and dew point with lagged load values. The research takes into account time-related dependencies and seasonal changes in order to …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 91–104 Read article
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Nitrosamine Accumulation, Processing Variables, and Indigenous Plant Inhibitors in Nigerian Traditionally Processed Meats
Abstract: N-nitrosamines are classified as probable or possible human carcinogens by the International Agency for Research on Cancer. Carcinogenic N-nitrosamines — principally N-nitrosodimethylamine (NDMA) and N-nitrosodiethylamine (NDEA) — are formed in abundance during the preparation of widely consumed Nigerian traditional processed meats including suya, kilishi, and balangu. This original investigation combined a six geopolitical zone of Nigerian market survey with laboratory-controlled model system experiments, effects of processing parameters on N-Nitrosamine formation …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 61–72 Read article
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A Computational Study of Lift and Drag Characteristics for NACA 4415 and NACA 2412 Aerofoils
Abstract: The performance of an aerofoil is crucial in designing wind turbine blades, aircraft wings, and other aerodynamic surfaces. This project presents a comparative analysis of two widely used aerofoil profiles, NACA 4415 and NACA 2412, to study their lift and drag characteristics under different flow regimes. The aerofoil geometries were developed using the NACA four-digit notation and modeled in ANSYS Design Modeler. Numerical simulations were conducted in ANSYS Fluent for …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1298–1315 Read article
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A Knowledge Graph Approach for Breast Cancer Diagnosis and Data Sharing Platform Implementation in the Context of Human Papillomavirus Infection
Abstract: Background: Breast cancer remains among the most prevalent malignancies in women worldwide, and effective diagnosis and data integration continue to challenge clinical practice. Diagnostic reports from mammography and ultrasound contain rich clinical information that is often under-utilised due to heterogeneous formats and limited data-sharing infrastructure. In the context of human papillomavirus (HPV) infection, which may influence oncogenic pathways and data complexity, advanced computational methods offer new solutions to this problem. …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article