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1940 articles for “pre” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Effect of a Multi-Component Intervention on the Quality of Life of Breast Cancer Patients Undergoing Chemotherapy in a Selected Oncology Centre
Abstract: Breast cancer remains the most commonly diagnosed cancer among women globally and continues to be a leading cause of cancer-related mortality among females. In India, it has become the most prevalent cancer among women, with a noticeable rise in incidence annually. The growing burden of breast cancer highlights the urgent need for effective supportive care strategies that address not only the physical but also the emotional and psychosocial well-being of …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 3, 2025 · pp. 11–18 Read article
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AI-Enabled Linear Regression Model for Spectroscopic Milk Adulteration Analysis
Abstract: Milk adulteration poses a serious threat to public health and quality assurance in the dairy industry. This requiring rapid, reliable, and non-destructive detection techniques. This study presents a linear regression-based analytical model for identifying and quantifying milk adulteration using spectroscopic data. Spectral measurements of milk samples, including both pure and adulterated variants were acquired using spectroscopic techniques at relevant wavelengths.Blending of other components in pure milk , is specifically called …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 1, 2026 · pp. 28–42 Read article
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Animal Species Prediction Using Deep Learning
Abstract: In the face of escalating biodiversity loss, effective monitoring of animal species is critical for conservation efforts. This study presents a deep learning approach for species detection and a multimodal feature identification technique for animals vulnerable to poaching. The suggested prediction system recognizes objects automatically by the application of deep learning techniques to detect objects and then recognize them by using computer vision techniques, and it is triggered when an …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 14–22 Read article
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Surfactant-Mediated Synthesis and Stabilization of Colloidal Nanoparticles in Aqueous Media: A Preliminary Study on Controlling Parameters
Abstract: Surfactants dissolved in water possess a distinctive tendency to accumulate at surfaces or interfaces, a process that involves the migration of surfactant molecules from the bulk liquid phase to the interfacial region. This adsorption tendency of surfactants is being exploited in stabilization of the Nanoparticles (NPs) synthesized through colloidal chemistry routes. In present research, preliminary studies on controlling parameters involving various surfactants has been carried out to standardized the chemical …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 · pp. 25–35 Read article
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Early Alzheimer’s Disease Prediction Using Vision Transformers and Attention-Guided MRI Analysis
Abstract: Alzheimer’s Disease (AD) continues to be a major global health concern, with early detection being crucial for effective intervention. While conventional machine learning and convolutional neural network (CNN) approaches have made notable progress in automated AD diagnosis using MRI data, they often struggle with capturing long-range dependencies and maintaining spatial contextual awareness. In this research, we propose a novel framework using Vision Transformers (ViTs) for early Alzheimer’s prediction from 3D …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 30–40 Read article
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Identification and Characterization of Genetic Predictors of Sickle Cell Anemia in Bilaspur District, Chhattisgarh, India
Abstract: In the present decades, sickle cell anemia (SCA) is a challenging task for control of hereditary syndrome in Bilaspur district of Chhattisgarh state, India. The present study aims to identify and characterize genetic predictors of SCA from Bilaspur district (CG) in 2024. A total of 3000+ individuals were screened and categorized into carriers, positive (screening), and diseased cases. Fetal hemoglobin (HbF) level is determined by several genetic factors including genetic …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 4, Issue 2, 2026 · pp. 1–9 Read article
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A Study to Assess the Effectiveness of Structured Teaching Program on Knowledge Regarding Breastfeeding Positioning Among Postnatal Mothers in Selected Community Areas in Kanpur
Abstract: Breastfeeding plays a crucial role in promoting infant health by providing complete nutrition, enhancing immunity, and strengthening maternal–infant bonding. Despite its benefits, many postnatal mothers experience challenges, such as nipple pain, breast engorgement, fatigue, and ineffective feeding, often due to improper breastfeeding positioning and poor latching techniques. Limited awareness and lack of structured education further contribute to these difficulties. Educating postnatal mothers on correct breastfeeding positioning is, therefore, essential to …
Published in International Journal of Women's Health Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 1–23 Read article
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Dystocia in Dairy Cattle: Causes, Consequences, and Preventive Measures for Improved Reproductive Health and Productivity
Abstract: Dystocia, or calving difficulty, is a significant reproductive challenge in dairy cattle, with far-reaching impacts on animal health, productivity, and farm economics. This review paper comprehensively explores the primary causes, consequences, and effective preventive measures associated with dystocia in dairy cows. Dystocia arises from a complex interplay of genetic, physiological, environmental, and management-related factors, including breed predisposition, maternal and fetal size, pelvic structure, and gestational nutrition. The consequences of dystocia …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 15, Issue 2, 2026 Read article
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A Factorial Investigation of Hyperparameter Tuning Strategies for Lasso- Based Genomic Prediction
Abstract: In an earlier comparative study of machine-learning methods for genomic prediction of wheat grain yield, we reported a counter-intuitive result: automated nested-cross-validation tuning of the Lasso regularization penalty reduced mean predictive ability relative to a fixed, arbitrarily chosen penalty (mean Pearson r falling from 0.408 to 0.349 across four environments), the opposite of the expected effect of hyperparameter tuning. We hypothesized two possible explanations at the time — high-variance penalty …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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A Security Investigation Survey of Ransomware Detection and Avoidance Strategies for IoT Networks
Abstract: The internet of things (IoT) refers to the interconnection of a large number of distinct physical objects, which in turn makes possible a variety of services and applications. Because the IoT sector is developing at such a rapid rate, ensuring its safety ought to be a high concern. At this time, ransomware attacks constitute the biggest danger to IoT posed by cyberattacks. Ransomware is software that blocks access to or …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 2, 2023 · pp. 14–23 Read article
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Drug abuse in Teenagers
Abstract: Teenage drug abuse is a significant public health concerns with far - reaching consequences. This abstract provides on overview of the prevalence, contributing Factor and consequences of drug abuse among adolescents. Drug abuse remains persistence and multifaceted issue globally, affecting individual’s families and society. Factors that influence the teenagers to experiment with drugs, including peer pressure, family dynamics and predisposition. The abstract also describes the various substance abused by teenagers, …
Published in International Journal of Toxins and Toxics · Vol. 1, Issue 2, 2024 · pp. 15–25 Read article
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A Study to Evaluate the Effectiveness of a Computer-assisted Teaching Program on Knowledge About the Distribution and Use of Iron and Folic Acid Tablets During the Antenatal Period Among Primigravida Mothers in Selected Villages of Holenarasipura Taluk, Karnataka
Abstract: Pregnancy is a critical period in a mother’s life, and proper knowledge about managing pregnancy is essential for maternal and fetal health. This study aimed to evaluate the effectiveness of a computer-assisted teaching program in improving knowledge about the distribution and use of iron and folic acid tablets among primigravida mothers in selected villages of Holenarasipura taluk. A one-group pre-test and post-test pre-experimental design was employed, using non-probability convenience sampling …
Published in International Journal of Midwifery Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 28–40 Read article
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Farmer’s Pal
Abstract: Precision agriculture, characterized by data-driven decision-making, has transformed contemporary farming practices. To increase agricultural sustainability and efficiency, this abstract investigates the combination of sensor monitoring, machine learning, and picture processing. A network of sensors continuously collects vital environmental data, including temperature, humidity, rainfall, sunshine, soil moisture, and conductivity, for precision agriculture. By providing real-time insights, these sensors enable farmers to make informed choices about pest control, fertilization, and irrigation. This …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 19–31 Read article
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Electronics and Communication Design of an AI-Powered Smart Chair for Real-Time Multilingual Interaction
Abstract: Revolutionizing the passive listening experience, a smart chair designed for presentation attendees goes far beyond mere cushioning, dynamically adapting to individual posture and offering ergonomic support to combat fatigue during lengthy sessions. Equipped with integrated sensors, these intelligent seats can subtly prompt listeners to adjust their position for optimal comfort and focus, sometimes even providing gentle haptic feedback for key takeaways or to signal important transitions in the presentation. Furthermore, …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 3, 2025 · pp. 16–29 Read article
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A Comparative Study to Assess the Fetal Outcome Among Normal and Anemic Mothers at Sultania Zanana Hospital at Bhopal
Abstract: Anemia during pregnancy is a significant public health concern, especially in developing countries like India. It is a clinical condition characterized by a deficiency in hemoglobin levels, often due to inadequate intake of essential nutrients such as iron, folic acid, and vitamins. The World Health Organization classifies anemia during pregnancy as having hemoglobin levels under 11 g/dL, with specific thresholds varying by trimester. Maternal anemia not only affects the mother's …
Published in International Journal of Midwifery Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 41–74 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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A Detailed Survey of Machine Learning Applications, Methods, and Future Prospects in Agriculture
Abstract: Agriculture is undergoing a digital transformation driven by machine learning (ML) and artificial intelligence. The integration of ML techniques with data from sensors, drones, satellites, and IoT devices has enabled precision agriculture, early disease detection, optimized resource use, and improved yield prediction. This paper presents a comprehensive review of machine learning applications in modern agriculture, covering key areas such as crop monitoring, soil analysis, irrigation scheduling, pest, and disease detection, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 39–45 Read article
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Impact of HIV on Global Health: A Comprehensive Review of Epidemiology and Interventions
Abstract: H.I.V remains a significant health issue of great concern to the world and with great impact to the individuals and communities on a global scale. This is a comprehensive literature review on the epidemiology of HIV, including both the world prevalence of HIV and the regional variations, especially in sub-Saharan Africa. It discusses the most important modes of transmission including sexual, blood, and vertical transmission and investigates the effectiveness of …
Published in International Journal of Virus Studies · Vol. 3, Issue 1, 2026 · pp. 39–45 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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Preparing Chitosan Hybrid Nanocomposites by Novel Additives for Wound Healing
Abstract: Biomaterials made from chitosan have been discovered to be particularly unique marine polysaccharides (or polycarbohydrates) with a wide range of physico-chemical and biological characteristics suitable for biomedicine field. Due to net positive charge of chitosan, it is essentially capable of chemically binding with negatively charged surfaces A biodegradable blend of chitosan nanoparticles (CHT), poly vinyl alcohol (PVA) and polyethylene glycol (PEG) hybridized with metal oxides nanopowders were prepared and used …
Published in Journal of Polymer & Composites · Vol. 11, Issue 2, 2023 · pp. 9–23 Read article