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194 articles for “statistical indicators”
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Evaluation of Mammographic Breast Density in Benign and Malignant Breast Disease Patients
Abstract: The purpose of the study was to compare the breast density in benign breast disease and carcinoma of the breast and to evaluate the association between breast density and the Breast Imaging Reporting and Data Systems (BIRADS) score to investigate the potential of breast density as a prognostic indicator. In this study, histologically proven cases of 30 benign breast disease patients and 30 breast carcinoma patients were included. Breast density …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 3, 2025 Read article
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A Clinical Study on Comparing the Efficacy of Areca Catechu Mother Tincture with Areca Tea in Control of Blood Sugar Level Among Healthy Individuals
Abstract: Areca tea of Nivedan Nimpe is trending among diabetic group as preventive and curative diet. Areca Catechu is one of the Indian homoeopathic drugs. There is no authentic literature source to indicate the action of Areca against diabetes, so authors have investigated immediate action on blood sugar level among healthy individuals. Selection of volunteers was done on the basis of inclusion and exclusion criteria. Volunteers were randomly divided into three …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy Read article
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In Silico Analysis and Docking Study of the Active Phytocompounds of Bacopa monnieri Against Alzheimer Disease
Abstract: Objective: Alzheimer’s is a neurodegenerative disease and is the cause of 60–70% of cases of dementia. It infected a million people worldwide. An effort was undertaken to explore the potential of natural compounds found in Bacopa monnieri, a plant renowned for its extensive medicinal properties in Indian Ayurveda, to combat the disease. This was achieved through molecular docking studies, evaluation of drug-likeness, and comprehensive ADME (absorption, distribution, metabolism, and excretion) …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 2, 2024 · pp. 1–13 Read article
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Utilization and Socioeconomic Impact of Biofuel Adoption Among Farming Communities in Fatehgarh Sahib, Punjab
Abstract: With the increasing consumption of energy and environmental issues, transformation toward renewable energy is being considered as a trend globally. Biofuels such as biogas and biodiesel provide potential alternative to fossil based fuel, particularly, in the rural parts of India, including Punjab. These clean sources, however, are not only contributing to environment but also have a potential to improve the rural economy by saving costs and having better health. Despite …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 38–45 Read article
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Passenger car fuel economy: Insights from big data analytics
Abstract: The increasing availability of real-world vehicle telematics through On-Board Diagnostics II (OBD-II) systems has enabled data-driven evaluation of passenger car fuel economy beyond conventional laboratory-based test cycles. While standardized certification procedures ensure repeatability, they often fail to capture the influence of real-world traffic conditions, driver behaviour, and transient vehicle operation. This study presents a structured Big Data Analytics (BDA) approach for analysing high-frequency OBD-II data collected from a gasoline passenger …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 8–19 Read article
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Forecasting Commodity Prices Using Deep Learning Techniques: An Empirical Evidence from India
Abstract: Commodity price forecasting is instrumental in financial markets, providing framework for investment choices and risk management practices. Traditional models, including statistical and machine learning approaches, have limitations in capturing the nonlinear and volatile nature of commodity prices. Deep learning (DL) techniques have emerged as promising alternatives, leveraging advanced neural networks to enhance predictive accuracy. This study presents a thorough and comprehensive examination of deep learning applications in commodity price prediction, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 08–12 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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Integrated Assessment of Soil Health Through Macronutrient Status and Physico-Chemical Properties in Selected Agricultural Blocks of Kangra District, Himachal Pradesh, India
Abstract: Soil health is a critical determinant of agricultural sustainability, particularly in ecologically sensitive Himalayan regions where intensive cultivation and heterogeneous landscapes influence nutrient dynamics. Balanced macronutrient availability, together with favourable physico-chemical properties, governs crop productivity, soil resilience, and long-term ecosystem functioning. Despite the agronomic importance of Kangra District (Himachal Pradesh), localized assessments integrating nutrient status with physico-chemical indicators across representative agricultural blocks remain limited. This study aimed to evaluate soil …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 1, 2026 · pp. 27–33 Read article
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The Awareness–Behaviour Paradox: Media Literacy and Social Media Risk Behaviour Among Nigerian Undergraduates
Abstract: Background: The proliferation of internet-capable devices and social media platforms has created an intricate web of risks for Nigerian undergraduates, including cyberbullying, addiction, misinformation, and exposure to indecent content. While media literacy has been widely proposed in Western scholarship as a sustainable intervention for responsible online behaviour, its protective mechanisms remain insufficiently understood in non-Western contexts, particularly with respect to the psychological pathways through which literacy operates. Objectives: This study …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 121–126 Read article
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A Study to Assess the Satisfaction Level of Children on Parent–Child Relationship Among Adolescent Girls Studying at Selected Educational Institutions in Honavar, Uttara Kannada
Abstract: Background: A strong parent-child relationship (PCR) is essential for a child’s overall development. This study aimed to explore the quality of parent-child relationships, particularly with fathers, among Indian adolescent girls. While societal attitudes have evolved, concerns remained about whether female children receive the same love, respect, and care as their male counterparts. Methodology: This research used a quantitative approach with a descriptive design. A total of 253 adolescent girls from …
Published in International Journal of Women's Health Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 14–20 Read article
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Factors Influencing Coffee Retail Selection Among Smallholder Producers in Gimbo District, Kaffa Zone, Southwest Ethiopia
Abstract: Coffee is Ethiopia’s most important export crop, contributing significantly to GDP and providing income for around 20% of the population. Despite its potential, farmers face marketing challenges, particularly in selecting appropriate market outlets. This study analyzes the determinants of coffee producers’ market outlet choice decisions in the Gimbo district. A purposive and two-stage random sampling technique were used to collect data from 200 coffee producers, 22 traders, and 22 consumers …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 121–133 Read article
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Determinants of Coffee Market Outlet Choices in Gimbo District, Kaffa Zone, Southwest Ethiopia.
Abstract: Coffee is Ethiopia’s most important export crop, contributing significantly to GDP and providing income for around 20% of the population. Despite its potential, farmers face marketing challenges, particularly in selecting appropriate market outlets. This study analyzes the determinants of coffee producers’ market outlet choice decisions in the Gimbo district. A purposive and two-stage random sampling technique was used to collect data from 200.00 coffee producers, 22.00 traders, and 22.00 consumers …
Published in Research & Reviews : Journal of Agricultural Science and Technology Read article
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Perspectives on ‘Kamsaharitaki’: an Ayurvedic Formulation for COVID-19 related Multisystem Inflammatory Syndrome (MIS)
Abstract: Background and Aim: Angiotensin-converting enzyme 2 receptor (ACE2), together with Transmembrane protease serine 2 (TMPRSS2), is a protein receptor for SARS-CoV-2 virus in the host subject; expression of ACE2 and TMPRSS2 reveals the multidimensional character of COVID-19 infection. SARS-CoV-2 Prominently induces pulmonary and systemic injury with other synergistic mechanisms. Preexisting chronic inflammatory conditions markedly sustain and aggravate the severity and cytokine storm. Inflammatory responses are closely linked with COVID-19 severity …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy Read article
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Signal Feature Extraction and Machine Learning Techniques for Human Activity Recognition
Abstract: Human Activity Recognition (HAR) has emerged as a critical field of study with diverse applications in healthcare, fitness tracking, smart homes, and human-computer interaction. The aim of this research is to create an efficient HAR system through advanced techniques characterized by signal feature extraction and machine learning algorithms. The MEMS sensors are used appropriately during data mining to extract time-domain, frequency-domain, and statistical features, which are subsequently passed to the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 24–41 Read article
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Air Pollution and Immune Disorders in Women from Urban Punjab: A Clinical and Epidemiological Study
Abstract: Background: Urban Punjab, particularly cities like Ludhiana, Amritsar, and Jalandhar, experiences some of the highest air pollution levels in India due to industrial activity, vehicular emissions, and agricultural practices. Despite this, gender-specific health impacts—especially related to immune function—remain inadequately studied. Objective of the study is to investigate the relationship between air pollution exposure and immune-related disorders in women residing in urban Punjab. A cross-sectional study was conducted from 2022 to …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 1, 2025 · pp. 36–40 Read article
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Climate variability analysis over the state of Himachal Pradesh, India
Abstract: Longterm daily temperature and rainfall data (2000–2024) for thirty-five locations ranging from ~350 to >4000 m amsl were obtained from the NASA POWER database. The variability and trends in maximum, minimum temperature and rainfall were worked out by using different statistical tools and Mann-Kendal test trend analysis. The mean annual maximum temperature of the state was 20.3°C (CV = 3.9%), declining from 27.4°C in the low hills to 7.2°C at …
Published in International Journal of Climate Conditions · Vol. 3, Issue 1, 2026 · pp. 51–64 Read article
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A Study to Assess the Knowledge and Attitude Regarding Post Dialysis Dietary Regulations Among Care Givers of Chronic Kidney Disease Patient Undergoing Hemodialysis in Selected Hemodialysis Unit at Agartala, West Tripura
Abstract: Introduction and objectives of the study: - Chronic renal failure is a gradual, irreversible decline in kidney function, leading to uremia. This condition necessitates hemodialysis to manage the body's internal environment. Dialysis becomes essential at the final stage of chronic kidney disease, known as end-stage renal disease. Objectives of the study are as: i) The objectives of this study are: i) To evaluate caregivers' understanding of dietary regulations following dialysis …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 89–103 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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Identification and Prioritization of Critical Erosion Prone and Water Potential Areas of Manandragarh Watershed Using HEC-HMS for Management
Abstract: This study was carried out at Indira Gandhi Krishi Vishwavidyalaya, Raipur (CG) on hydrological modelling and development of soil and water conservation plan for critical erosion prone and water potential sub-watersheds of Manendragarh watershed of upper Hasdeo subbasin in Chhattisgarh using Hydrological Engineering Centre-Hydrological Modelling System (HEC-HMS). The Hydrological Engineering Centre-Geo Hydrological Modelling System (HEC-Geo HMS) was utilized for developing the model setup, while the HEC-HMS model was employed to …
Published in Research & Reviews : Journal of Ecology · Vol. 14, Issue 1, 2025 · pp. 26–44 Read article
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Molecular Docking of Arjuna Tree Phytocompounds for Ischemic Heart Disease
Abstract: Heart disease is a serious condition that can be caused by several lifestyle changes and sometimes genetic problems. The primary protein component of apolipoprotein is the LDL receptor, which indicates that a reduction in LDL levels can reduce the risk of ischemic heart disease. Apolipoprotein levels are associated with increased levels of ischemic heart disease. Using ADMET analysis, drug likelihood prediction, and molecular docking, this work attempted to find natural …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 1, 2025 · pp. 42–52 Read article