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330 articles for “and Statistical analysis”
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Challenges And Constraints Affecting Female-Owned Rural Farm Businesses in Plateau State, Nigeria
Abstract: This study examined the challenges and constraints affecting female-owned rural farm businesses in Plateau State, Nigeria. No prior study had conducted a comprehensive, quantitative, state-wide investigation covering all 17 local government areas (LGAs) of the state, and this study addressed that gap. The objectives were to identify the challenges faced by female-owned rural farm businesses, assess their relationship with business performance, and determine how strongly these challenges predicted performance outcomes. …
Published in International Journal of Rural and Regional Development · Vol. 4, Issue 1, 2026 · pp. 1–13 Read article
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Experimental Investigation into MRR of Polished Zinc Plate with Ultrasonic Vibrations Using Single Pole Magnetic Abrasive Finishing Process
Abstract: The present research examines the material removal rate (MRR) in finishing zinc plates on the experimental framework called Single Pole Magnetic Abrasive Finishing Process (SPMAFP) by inducing ultrasonic vibrations. By means of a Flexible Magnetic Abrasive Brush (FMAB) composed of 40% alumina and 60% iron elements, the investigation estimates the effect of key process parameters on surface finishing excellence. An L-16 factorial study design was applied to examine the FMAB …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 428–438 Read article
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Optimizing Sampling Techniques Using Fuzzy Set Theory: A Comprehensive Approach
Abstract: Sampling is a critical process in statistics, used to estimate population parameters without needing to examine the entire population. Traditional sampling methods, such as simple random sampling, stratified sampling, and cluster sampling, face limitations when applied to complex or heterogeneous populations with imprecise boundaries. These methods often fail to accurately represent populations with overlapping characteristics or missing data, resulting in sampling bias and reduced accuracy. To address these challenges, this …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 29–43 Read article
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The Impact of Climate Change on Jute Production in Gaibandha District, Bangladesh
Abstract: Jute plays a crucial role in Bangladesh’s agricultural economy, especially in Gaibandha District, where it is a key crop for rural livelihoods. However, climate change, characterized by rising temperatures and unpredictable rainfall, poses significant threats to jute production. While numerous studies have explored the broader impact of climate change on agriculture, there is a gap in understanding how localized climate conditions specifically affect jute farming in Gaibandha, with many existing …
Published in International Journal of Climate Conditions · Vol. 2, Issue 1, 2025 · pp. 1–17 Read article
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The Fundamental Premises of Efficient Linear Regression and Applying Regression
Abstract: Linear regression is a statistical technique for estimating the value of a dependent variable from an independent variable. Linear regression is a way to assess how two variables are related. A dependent variable is predicted using this modelling technique based on one or more independent factors. Many analyses are based on linear regression. Sometimes the data must be changed to satisfy the needs of the analysis, or extra room must …
Published in Trends in Machine design Read article
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Correlation Analysis of Gastrocnemius Tightness and Heel Pain Severity: A Study on Plantar Fasciitis
Abstract: Background: Plantar fasciitis, a common source of heel pain, is frequently linked to tightness in the gastrocnemius (GCN) muscle. This study seeks to examine the relationship between GCN tightness and the severity of heel pain in plantar fasciitis patients over time, investigating the potential role of muscle flexibility in alleviating pain. Methods: A prospective cohort study was conducted with 74 patients aged 25–65 diagnosed with P. fasciitis at Santosh Hospital, …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 1, 2024 · pp. 57–64 Read article
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A Critique of Advanced Instrumentation for Supervising and Regulating Renewable Energy Systems
Abstract: The integration of renewable strength property into the power grid necessitates modern-day tracking and manipulate systems to ensure highest best average overall performance, reliability, and performance. This paper offers a comprehensive analysis of advanced instrumentation applied for monitoring and controlling renewable strength systems. Beginning with an outline of renewable energy assets and their importance in addressing environmental worries and electricity sustainability, the compare delves into the challenges inherent in monitoring …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 1–12 Read article
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Physics-Informed Generative and Tensor-Based Framework for DNA Sequence Simulation and Genomic Structure Discovery
Abstract: In this paper, we explore the intersection of artificial intelligence (AI) and mathematical physics to propose advanced methods for DNA sequence generation and analysis. Specifically, we investigate how physics-informed Generative Adversarial Networks (GANs) and tensor network representations can be harnessed to restructure DNA for applications in genetic science. The proposed methodology offers a unique integration of concepts of thermodynamic modeling with innovative GAN architecture in order to allow the creation …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Experimental Study of Roughness Analysis of AISI 316L Material using Fiber and CO2 LBM
Abstract: Laser beam machines have gained significant attention as a precise and versatile method for cutting and shaping materials in various industries. This study investigates the surface roughness characteristics of SS 316L, a commonly used stainless steel, when subjected to laser beam machining using both fiber and CO2 laser sources. The aim of this research is to compare the effects of these two laser types on the final surface finish of …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 12–21 Read article
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A Descriptive Study to Assess the Effectiveness of Instructional Modules on Knowledge Regarding Challenges Faced by Rural Community People on Cancer Preventive Measures Among People Living in the Selected Community Area, Palakkad District
Abstract: This study employed a quantitative approach with a descriptive study design to assess the knowledge and challenges faced by rural communities regarding cancer preventive measures. A total of sixty participants were selected using purposive sampling, which is non-probability based. Data were gathered through a semi-structured questionnaire to capture demographic information, alongside a structured questionnaire specifically designed to evaluate knowledge on cancer prevention challenges within the rural population. The collected data …
Published in International Journal of Oncological Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 26–33 Read article
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Hybrid Quantum–Machine Learning Framework for Nonlinear Rheological Modeling of Polymer and Composite Materials
Abstract: In polymer and composite materials, a major challenge lies in predicting their nonlinear rheological response, owing to complex multiscale interactions that are not captured by traditional constitutive laws or conventional machine learning approaches. In this study, a hybrid Quantum Machine Learning (QML) model comprising Quantum Support Vector Machine (QSVM) and Quantum Neural Network (QNN) architectures is proposed for viscosity prediction without requiring any specific rheological equation. To train and test …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Pregnancy Outcomes on Chronically Hemodialyzed Women in Arab World: A Systematic Review
Abstract: Pregnancy carries a major risk of difficulties, as highlighted by the present systemic study on pregnancy outcomes in persistently hemodialyzed women in the Arab world. The objective of this systematic review was to describe the pregnancy outcomes among chronically hemodialyzed pregnant women in Arab countries in terms of the incidence of pregnancy among women on maintenance hemodialysis and the incidence of maternal and fetal complications of pregnant women on hemodialysis. …
Published in International Journal of Midwifery Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 25–36 Read article
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Topology and Geometry in Data Science: Persistent Homology and Beyond
Abstract: In recent years, the interplay between topology, geometry, and data science has gained substantial momentum, offering powerful frameworks to analyze and interpret complex datasets. Traditional statistical and machine learning methods often rely on linear or metric- based assumptions, which may fail to capture the intrinsic structure of high-dimensional or nonlinear data. In contrast, topological and geometric methods provide shape-oriented, scale- invariant tools that focus on the continuity, connectivity, and global …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 21–27 Read article
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Characterization of Antibacterial and Biofilm Inhibition in Tin and Zinc Oxide Nanoparticle-Doped Orthodontic Composites
Abstract: Background: This study investigated the antibacterial effectiveness of orthodontic adhesive enhanced with stannous oxide (SnO₂) nanoparticles against Lactobacillus acidophilus and Streptococcus mutans, in comparison to traditional adhesives without nanoparticle infusion. Methods: A modified orthodontic adhesive was prepared by incorporating 1% w/w of tin dioxide and zinc oxide nanoparticles (SnO₂ + ZnO₂ NPs) into Transbond XT. This nanoparticle-enhanced composite was used to fabricate discs for assessing antibacterial activity against Lactobacillus acidophilus …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 230–239 Read article
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The Role of Artificial Intelligence in Enhancing Athlete Performance and Training Strategies
Abstract: Artificial Intelligence (AI) is transforming modern sports by improving athlete performance, training methods, and decision-making processes. The integration of AI technologies such as machine learning, data analytics, wearable sensors, and computer vision has enabled coaches and sports scientists to analyze large amounts of performance data with greater accuracy and efficiency. Athletes' physiological indicators, movement patterns, injury risks, and recuperation processes are all monitored by these technology. Training regimens can therefore …
Published in Recent Trends in Sports · Vol. 3, Issue 2, 2026 · pp. 1–7 Read article
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Performance, Combustion and Emission analysis of Sunflower oil based Biodiesel using Non-Dominated Sorting Genetic Algorithm-II
Abstract: Biodiesel is used as alternate fuel of I. C. Engines for so many years. It is obtained from various edible and non-edible oils including waste cooking oils through trans-esterification process in the presence of catalyst. The suitable amount of biodiesel mix with commercial diesel can be used to run the compression ignition engines. The optimum combination of engine input parameters is the challenging task as required by the design engineer …
Published in International Journal of Energy and Thermal Applications · Vol. 1, Issue 1, 2023 · pp. 1–6 Read article
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The Influence of Self-Efficacy on Anxiety and Perfectionism among Dancers
Abstract: The world of dance, while driven by creativity, often imposes significant psychological demands on performers. This study explored how self-efficacy influences anxiety and perfectionism—both adaptive (excellencism) and maladaptive—among dancers, with a focus on gender differences. A sample of 120 dancers (60 males, 60 females) was assessed using standardized scales. Relationships and predictive effects were assessed using statistical techniques, such as regression, Pearson correlation, and t-tests. Findings revealed no significant gender …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 Read article
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A Study to Evaluate the Impact of Nurse-led Intervention on Competency Level Regarding Care of Patients on Mechanical Ventilators Among ICU Nurses Working in Selected ICUs at Pt. Bd Sharma PGIMS Rohtak
Abstract: Introduction: The nurse caring for mechanically ventilated patients must be skilled and possess a deep understanding, along with specialized knowledge, of mechanical ventilators (MV). This study is intended to evaluate the impact of nurse-led intervention on competency levels regarding the care of patients on MV among ICU nurses. Objective: To assess the pre- and post-test knowledge, practices, and attitudes of ICU nurses, evaluate the effectiveness of nurse-led interventions on the …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 59–94 Read article
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Enhancing Surface Roughness in the Taguchi Method for Turning Alloy Steel in Wet and Dry Environments
Abstract: The present investigation focuses on evaluating the performance of turning operations in alloy steel with particular emphasis on the effect of cutting parameters on surface roughness. In the machining of alloy steel, tool life and surface integrity are significantly influenced by parameters such as spindle speed, depth of cut, and feed rate. Among these, feed rate has been observed to exert the most prominent effect on surface roughness. To systematically …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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Analysis of Gold Price Trend Using the Hidden Markov Model
Abstract: This study aims to analyze the behavior of gold prices in India through a two-state Hidden Markov Model (HMM). We first formulated crucial parameters, such as the Transition Probability Matrix (TPM), Initial Probability Vector (IPV), and Emission Probability Matrix (EPM). Subsequently, we constructed a hidden Markov probability distribution and evaluated Pearson’s coefficients to gauge the correlations separately for each state. The goodness of fit of the developed model was assessed …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 2, 2024 · pp. 7–16 Read article