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1452 articles for “P-value”
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Intelligent Traffic Monitoring: YOLO v8 and CSV Data Integration
Abstract: The “Intelligent Traffic Monitoring: YOLO v8 and CSV Data Integration” project is a cutting-edge solution for intelligent traffic monitoring, with YOLO v8 (You Only Look Once) serving as the fundamental technology for real-time vehicle detection and traffic counting on roads. In addition to these features, the system interfaces effortlessly with data pipelines and machine learning projects by storing gathered traffic data in CSV (Comma-Separated Values) format. The major goal of …
Published in International Journal of Electronics Automation · Vol. 1, Issue 2, 2023 · pp. 20–24 Read article
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Knowledge Enhancement Through Breast Cancer Education Among B.Sc. Nursing Students: A Pre-Experimental Study
Abstract: Background: Breast cancer continues to be a major global public health concern. Timely detection and proper management play a vital role in reducing morbidity and mortality. Nursing students must have sufficient knowledge to provide effective community education and deliver quality care. Aim: This study aims to evaluate the effect of a structured teaching program on improving the knowledge of nursing students. Method: The quantitative research approach with pre-experimental research design …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 23–27 Read article
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Unfolding the Awareness for Women and Children in Vidarbha Region
Abstract: The concept of “Roots and Wings” as a pathway to empower women and children in Vidarbha region, focusing on the need for both a strong foundation and the freedom to thrive. “Roots” symbolize support systems like education, cultural identity, and community care, while “wings” represent opportunities for growth, self-expression, and independence. Women in Vidarbha often face deep-rooted challenges, including gender inequality, domestic violence, menstrual health, abuse and a lack of …
Published in International Journal of Trends in Humanities · Vol. 2, Issue 2, 2025 · pp. 39–45 Read article
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Advancing Sustainability: A Comprehensive Review of Environmental, Social, and Governance (ESG) Practices
Abstract: Environmental, Social, and Governance (ESG) frameworks have emerged as critical pillars guiding sustainable business practices and responsible investment decisions. This review explores the multifaceted role of ESG principles in promoting environmental stewardship, advancing social equity, and ensuring ethical governance. Environmentally, ESG focuses on combating climate change, conserving biodiversity, and managing resources through renewable energy adoption, waste reduction, and carbon emission control. Socially, it emphasizes employee well-being, diversity, community engagement, and …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 1–9 Read article
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Forecasting of Crushing Strength of Sustainable Concrete by Employing Deep and Random Forest Machine Learning
Abstract: Sustainable concrete is one of the milestone of the concrete industry. This concrete fulfills the requirements of concrete manufacturing industry such as strengthen, Durability, environment friendly and many of other. With this properties of concrete, sustainable concrete is an ideal substitute for ordinary concrete in the concrete industry. In the 21th century Machine learning is a tool which is use to employ the characteristics of sustainable concrete by using deep …
Published in Journal of Polymer & Composites · Vol. 12, Issue 7, 2024 · pp. 41–46 Read article
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Modeling Dispersed Count Data: Evaluating the Conway–Maxwell–Poisson Regression with COVID-19 Mortality Data
Abstract: Count data are prevalent in diverse fields such as biology, healthcare, psychology, and marketing, characterized by non-negativity and inherent heteroskedasticity, often exhibiting overdispersion or underdispersion. Traditional Poisson regression, which assumes equal mean and variance, is inadequate for such dispersed data. To address this, various generalized linear models (GLMs) and their extensions, including negative binomial (NB) and Conway–Maxwell–Poisson (CMP) regressions, are utilized. This study evaluates the performance of CMP regression compared …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 18–26 Read article
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Theoretical Study of Z = 122 Nuclei
Abstract: We used atomic nuclei with proton number Z = 122 to calculate bulk properties within the relativistic mean field (RMF) theory. We utilized the force parameters recognized as NL3 in our calculations. We extend our calculation to isotopic series of Z = 122 and analyses the theoretical outcomes. A whole isotopic chain of nuclei with atomic number 𝑍 = 122 Z=122 is included in our inquiry, enabling a methodical examination …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 1–9 Read article
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Transforming Agricultural Waste into Opportunities: Crop Residues for Sustainable Livestock Feeding and Productivity
Abstract: As global agricultural systems strive to meet the growing demand for livestock products while minimizing environmental impact, the sustainable utilization of crop residues has emerged as a key strategy for improving feed resource availability. In Bangladesh and many other developing regions, vast quantities of crop residues are produced annually, yet their potential as a valuable feed resource remains underutilized. This review evaluates the role of crop residues in livestock feeding, …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 3, 2024 · pp. 12–21 Read article
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Dimensionality Reduction Techniques and their Applications in Cancer Classification: A Comprehensive Review
Abstract: Dimensionality reduction techniques have become a vital tool in the investigation of high-dimensional data like gene expression profiles in cancer research. Here is a review, we deliver a comprehensive overview of dimensionality reduction techniques and their applications in cancer classification. Firstly, we introduce the concepts and approaches of dimensionality reduction, and after that, we explore several methods for decreasing dimensionality. These techniques include Linear Discriminant Analysis (LDA), Principal Component Analysis …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 2, 2023 · pp. 35–45 Read article
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Critical Examination of Project Success Definition and Factors for Project Success Criteria
Abstract: Project success is understood as the process of measuring the success determinants such as resource management, needful level of funds, application of suitable leadership styles, as well as meeting the defined goals of a project. The success of a project is also determined by the commercial benefits obtained from a defined project. In this research paper, the definition of project success and relevant criteria for project success management is critically …
Published in Journal of Construction Engineering, Technology & Management · Vol. 14, Issue 1, 2024 · pp. 41–48 Read article
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Parametric optimization of COF of fabricated AA6082/Si3N4/C/Al2O3 composite
Abstract: In the present experimental investigation AA6082/Si3N4/C/Al2O3 composite was successfully fabri-cated using stir casting technique combined with electromagnetic stirrer for wear resistance applica-tions. The produced AA6082/Si3N4/C/Al2O3 composite exhibits improved tribological and me-chanical and properties, according to the experimental results. The generated composite has a micro-hardness range of 60 to 110 HV and an average UTS of 150 to 200 MPa. The tribological perfor-mance was evaluated using a pin on disc tribometer. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 144–152 Read article
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Exploring the Therapeutic Potential of Phytohormones: Bridging Plant Immunity and Human Health
Abstract: This review highlights the multifaceted roles of phytohormones, including salicylic acid, abscisic acid, cytokinins, and brassinosteroids, emphasizing their contributions to plant immunity and potential therapeutic applications in human health. Phytohormones are critical regulators of plant growth, development, and defense, functioning as signaling molecules that activate and coordinate plant responses to biotic and abiotic stresses. Salicylic acid, in particular, is instrumental in systemic acquired resistance (SAR), a defense mechanism that strengthens …
Published in International Journal of Trends in Horticulture · Vol. 1, Issue 2, 2024 · pp. 20–23 Read article
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Mathematical Modelling on Unsteady Blood Flow and Unsteady Heat Transfer Through a Stenosed Artery with Hematocrit and Slip Velocity
Abstract: A theoretical investigation concerning variable viscosity dependent on percentage concentration of red blood cell interm of total volume of blood (hematocrit) and slip velocity on unsteady flow of blood and heat transfer has been carried out. The analytical expressions for the flow characteristics and the heat transfer rate, including the velocity profile, volumetric flow rate, flow resistance, wall shear stress, and temperature profile, were obtained using the weighted residual method, …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 2, 2025 · pp. 16–36 Read article
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Development, Optimization and Evaluation of Polyherbal Gel Comprising of Azadirachta Indica, Calendula Officenalis, Turmeric and Aloe-vera for Treatment of Wound
Abstract: Azadirachta indica, Calendula officinalis, Turmeric (Curcuma longa), and Aloe-vera are known to possess numerous medicinal properties. These herbs have been traditionally used across various cultures for the treatment of a wide range of ailments due to their potent therapeutic effects. Individually, they have demonstrated efficacy in addressing conditions such as acne, diabetes, wound healing, gastric ulcers, first-degree burns, psoriasis, arthritis, and pneumonia. Additionally, they are known for their antimicrobial, anti-inflammatory, …
Published in Recent Trends in Cosmetics · Vol. 2, Issue 2, 2025 · pp. 41–53 Read article
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Guanidine as a Starting Material for Preparing a Scale Inhibitor
Abstract: Oilfield scale inhibition, which can obstruct fluid flow in pipelines, valves, and pumps during oil production and processing, is critical for preventing scale formation. Effective scale inhibitors (SIs) minimize downtime and enhance productivity by preventing the build-up of insoluble crystals in water systems. In oil processing, scale formation results from the precipitation of salts due to incompatible aqueous phases, leading to equipment blockage. Phosphonates are highly effective chelating agents for …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 15–28 Read article
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A Study to Evaluate the Effectiveness of a Structured Teaching Programme on Knowledge and Attitude Regarding Selected Comfort Measures Among Post-Caesarean Mothers
Abstract: Introduction: The study was conducted to assess the levels of knowledge and attitudes related to selected comfort measures among mothers who had undergone caesarean delivery, both before and after an intervention. It also aimed to identify any associations between these outcomes and certain demographic variables. Methods: A pre-experimental design using a single group with pretest and posttest measures was employed. The sample consisted of 100 post-caesarean mothers, chosen through a …
Published in International Journal of Midwifery Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 16–25 Read article
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Machine-Learning-Assisted Development of Polymer-Biochar Composite Adsorbents for the Removal of Heavy Metals from Gomti River Water
Abstract: Rapid urbanization, industrial discharge, and agricultural runoff pose a significant threat to freshwater sustainability and public health. Within these ecosystems, polymer pollutants—such as microplastics, nanoplastics, synthetic fibres, and additive residues—have emerged as persistent vectors capable of adsorbing and transporting toxic heavy metals. Because these polymeric contaminants dynamically interact with conventional aquatic parameters to alter pollutant mobility and ecological risk profiles, there is an urgent need to transition from passive environmental …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 72–95 Read article
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Artificial Neural Network Modelling to Optimize Micro-Drilling Parameters of ECDM of Developed Novel Zn/(Ag+Fe)-MMC
Abstract: Several engineering fields have increased their use of metal matrix composites (MMCs) in the past few years. Due to the increase in composites, the demand for accurate machining has also become important. Specifically, pertaining to biomaterial applications, accuracy factor with desired surface finish is critical. While the near-net shape manufacturing process has advanced, MMCs frequently require post-mould machining to achieve surface quality, and dimensional tolerances. In the present study, a …
Published in Journal of Polymer & Composites · Vol. 11, Issue 1, 2023 · pp. 01–13 Read article
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Improving Black Cotton Soil with Sodium Hydroxide and Fly Ash: An Assessment of Optimum Moisture Content, Dry Density, and California Bearing Ratio
Abstract: This study investigates the stabilization of Black Cotton Soil (BCS), an expansive clayey soil primarily composed of montmorillonite minerals, using sodium hydroxide (NaOH) and fly ash. Due to its high plasticity and significant volume changes with moisture, BCS is challenging for construction purposes. Adding NaOH and fly ash can potentially improve the soil's moisture tolerance, compressibility, and reduce its plasticity, making it more suitable for structural applications. The research evaluates …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 192–201 Read article
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Machine Learning Approach to Predict the Performability and Emissions of Diesel Engine Fueled with Doped Biodiesel Blend
Abstract: Enhancing the performability and emission characteristics of diesel engines has been a difficult task in light of growing concerns about global warming and other negative effects, as diesel accounts for 70% of global energy demand. In this study, engine performance and exhaust emissions for various fuel blends were thoroughly evaluated using machine learning techniques to predict engine emission and performance behavior. We focused on biodiesel blend and nanoparticle additive concentration …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 1, 2025 · pp. 1–12 Read article