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122 articles for “and alternative data”
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Study of Energy Efficiency in IoT Devices
Abstract: The Internet of Things (IoT) is transforming industries and daily life by connecting billions of devices, yet its growth presents significant energy efficiency challenges. This paper explores strategies to address these challenges by investigating energy harvesting techniques and low-power communication protocols. Energy harvesting methods, including solar, kinetic, and thermal energy, offer sustainable alternatives to traditional battery-powered IoT devices, reducing dependency on non-renewable resources and enabling longer operational lifetimes. Simultaneously, low-power …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 34–40 Read article
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Kenaf Reinforced Polyamide Composite Materials: A Systematic Review
Abstract: Sustainable development has become the global target to prevent exploitation and degradation of our environment in the pursuit for industrial growth. Almost all sectors including engineering, dental, medical, aerospace, etc use synthetic polymers in daily basis. The growing need for sustainable natural alternatives has encouraged research on natural fibres reinforced polymers like kenaf reinforced polyamide composites. Comprehensive evaluation of existing studies is crucial to understand the scope in this field …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 158–169 Read article
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Pharmacogenomics in Anesthesia: Case Studies and Clinical Applications for Personalized Care
Abstract: Pharmacogenomics, the study of how genetic variability influences individual responses to medications, is transforming anesthetic practice by enabling personalized care. This case study collection explores the integration of pharmacogenomic insights into anesthesia management, highlighting its impact on safety, efficacy, and patient outcomes. Adverse reactions to anesthetics often arise from genetic polymorphisms that alter drug metabolism or sensitivity. For instance, patients with RYR1 mutations are susceptible to malignant hyperthermia (MH) when …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 2, 2025 · pp. 85–91 Read article
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Assess the Knowledge Regarding Usage of Plastic Leading to Cancer Risk and Their Preventive Measures Among House Wives in Selected Area Vaniyamkulam
Abstract: This study explores the level of awareness among housewives in Vaniyamkulam about the potential cancer risks associated with the use of plastic materials in households, along with their knowledge of preventive measures. The proliferation of plastic usage in daily life has raised significant health concerns, particularly its potential to release carcinogenic compounds such as bisphenol A and dioxins, which can leach into food and beverages. Given the critical role housewives …
Published in International Journal of Oncological Nursing and Practices · Vol. 2, Issue 1, 2024 · pp. 12–17 Read article
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Advancements in Intrusion Detection: Tackling Imbalanced Network Traffic with Machine Learning and Deep Learning Techniques
Abstract: Malicious cyberattacks can frequently hide enormous amounts of typical data in unbalanced network traffic. It is very stealthy and obfuscating in cyberspace, which makes it challenging for Network Intrusion Detection Systems (NIDS) to guarantee the precision and promptness of detection. This essay investigates. Machine learning and deep learning are utilized for intrusion detection in imbalanced network traffic. It offers a novel method for addressing the problem of class imbalance termed …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 18–24 Read article
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A GIS and MCDA Framework for Land Suitability Analysis in Sustainable Agriculture
Abstract: This study examines land suitability for sustainable agriculture by integrating Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA) as tools to optimize agricultural planning. Sustainable agricultural practices are increasingly critical to meet global food demands without depleting essential land resources. This research focuses on assessing specific parameters that determine the agricultural viability of land, including soil characteristics, topography, climatic conditions, and water availability. These criteria are integral to understanding …
Published in International Journal of Land · Vol. 1, Issue 2, 2024 · pp. 30–34 Read article
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HPV Screening as an Alternative to Pap Smear in Cervical Cancer Prevention: A Comparative Study in North India
Abstract: Cervical cancer remains a leading cause of cancer-related morbidity and mortality among Indian women, especially in low-resource settings. While Pap smear testing has been the standard screening method, HPV DNA testing offers potential advantages in sensitivity, cost-effectiveness, and feasibility for large-scale implementation. This study compares the efficacy, cost, and acceptability of HPV screening versus Pap smears in urban and rural populations of North India. A comparative cohort study was conducted …
Published in International Journal of Women's Health Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 31–37 Read article
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Continuous Glucose Monitoring Device
Abstract: Managing diabetes effectively requires regular monitoring of blood glucose levels, which is traditionally done through invasive methods like finger-prick tests. This work introduces a non-invasive blood glucose monitoring system utilizing the MAX30100 pulse oximeter sensor and Internet of Things (IoT) technology. The system estimates glucose levels by analyzing infrared (IR) light absorption properties, eliminating the need for direct blood sampling. Key components include the ESP32 microcontroller, cloud-based data storage, and …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 3, 2025 · pp. 1–6 Read article
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Facial Biometrics Driven Attendance Automation Solution Using LBPH Algorithm
Abstract: In today's educational landscape, managing attendance remains a central administrative task, often conducted manually on paper, consuming valuable time for educators. This project proposes a solution utilizing facial recognition technology to streamline the attendance process, thereby saving time and maintaining accurate student records. The objective is to develop an automated attendance system that is minimally intrusive, cost-effective, and highly efficient, leveraging computer vision techniques and algorithms like local binary patterns …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 27–35 Read article
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Bridging Polymer Science and the Circular Economy: Innovative Business Models for Sustainable Plastic Alternatives
Abstract: It involves the application of polymer science, circular economy principles, and sustainable business models to change the industrial environment in an environmentally friendly manner, which the study focuses on. It will also carry out a rigorous investigation into the potential of bio-based, biodegradable, and recyclable materials and how to integrate them into business models that can be sustainable. The theoretical basis of the study includes the theory of the circular …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 202–217 Read article
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Comparative Analysis of Fermented Milk Prepared Using Natural Fermentation Starters
Abstract: Background: Fermented milk products are a staple of traditional diets and offer considerable nutritional and health benefits due to their probiotic and bioactive compounds. While conventional starters, like old buttermilk are widely used, alternative plant-based starters, like clove and green chili stalk, have potential advantages, including enhanced antioxidant properties and cultural relevance. Objectives: This study aimed to compare the fermentation dynamics of milk inoculated with clove, green chili stalk, and …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 3, 2025 · pp. 11–28 Read article
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Optimization of Automatic Energy Management System Using Renewable Resources
Abstract: With the increasing demand for energy efficiency and sustainability, smart home energy management systems (SHEMS) have emerged as promising solutions to optimize residential energy consumption. This paper presents a comprehensive review of SHEMS technologies, focusing on their design, implementation, and impact. SHEMS integrates advanced sensors, real-time data analytics, and intelligent algorithms to monitor, control, and optimize energy usage within the home environment. By leveraging machine learning and predictive modelling techniques, …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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Impact of Online Nursing Education: Nursing Students’ Knowledge Towards Patient Safety in Nursing Academic Institution, Kolkata, West Bengal, India
Abstract: Introduction: Online education is rapidly growing as an alternative way of preparing nursing students since the COVID-19 pandemic outbreak. The future healthcare workforce has shifted to an online mode of education. Objectives: To assess the impact of online nursing education and nursing students’ knowledge on patient safety. Method: A descriptive study was done among 209 nursing students using a random sampling technique. Data were collected from demographic information on online …
Published in International Journal of Community Health Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 15–21 Read article
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Socioeconomic Inequalities in Utilisation of AYUSH Systems of Medicine in North-East India: Evidence from NSS 79th (2022–2023) Round on AYUSH
Abstract: Background: Socioeconomic inequality in healthcare Utilisation continues despite policy focus on universal health coverage and Sustainable Development Goal 3. India's traditional, complementary, and alternative medicine systems are generally termed as AYUSH. AYUSH has been consolidated into the national health policy; however, empirical findings on its distributive equity persist as limited. This study estimates and decomposes socioeconomic inequality in Utilisation of AYUSH systems of medicine among the adult age group 15 …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 29–42 Read article
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Performance of Some Modified Ordinary Ridge Regression Estimators
Abstract: In multiple linear regressions, if the data suffer from severe multicollinearity, then the ordinary least squares (OLS) method become more sensitive to it, and in such a case OLS could yield wrong sign for some of the regression coefficients. Therefore, when such a situation arises, we could use one of the biased regression methods viz., ridge regression, principal component regression, and so on, as an alternative method to OLS. This …
Published in Research & Reviews : Journal of Statistics Read article
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Molecular Docking of Saraca asoca (Ashoka) Phytocompounds for Ovarian Cancer Therapy
Abstract: Objective: One of the top five cancers that causes death in women is ovarian cancer, with increases awareness till date the rate of survival is unpredictable. Even though there are advance treatments introduced, chemotherapy is most suggested to the ovarian cancer patients but the rate of relapses increased and the tumors get resistant towards the drugs. This present study is to evaluate the interaction of phytocompounds from Saraca asoca an …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 2, 2024 · pp. 27–35 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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Experimental Investigation of Hybrid Natural Fiber Reinforced Epoxy Composites Using Banana and Sugar Palm Fibers
Abstract: This paper is a research study that examines the mechanical and morphological properties of hybrid natural fiber reinforced epoxy composites manufactured from banana fibers (BF) and sugar palm fibers (SPF). Because the use of sustainable, lightweight, and cost effective materials in engineering continues to grow, many engineers are looking at the possibility of utilizing natural fiber reinforced polymer composites as alternatives to traditional man-made fiber composites. Hybrid composite laminate samples …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 195–205 Read article
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Evaluating the Efficacy of Acupressure in Alleviating Pain Perception in Adolescent Girls with Primary Dysmenorrhoea: A Study at Selected Government Higher Secondary Schools in Chennai
Abstract: This study investigates the efficacy of acupressure in mitigating pain perception among adolescent girls experiencing primary dysmenorrhea. Conducted at a chosen Government Higher Secondary School in Chennai, the research aims to contribute valuable insights into non-pharmacological interventions for managing menstrual pain in young girls. A quantitative research methodology will be utilized, employing a pre-post experimental design to evaluate the influence of acupressure on the perception of pain. The sample will …
Published in Journal of Nursing Science & Practice · Vol. 14, Issue 1, 2024 Read article
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Improving Node Efficiency in Wireless Sensor Networks Using Advanced Clustering and Routing Techniques
Abstract: Many Internet of Things (IoT) applications, such as disaster relief, smart buildings, smart farming, and healthcare monitoring, have made use of wireless sensor networks (WSN). It is one of the alternatives to address different IoT difficulties in different contexts. One of the main problems with sensor networks is power efficiency. WSN operated on the Client-Server (CS) architecture in the past, however researchers suggested Mobile Agent (MA) based WSN to increase …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 2, 2024 · pp. 35–64 Read article