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1981 articles for “SE method” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Evaluation of the Understanding of Home Remedies for Managing Dysmenorrhea Among Adolescent Girls in Selected School of Vaniyamkulam Panchayat
Abstract: Background: India possesses a significant adolescent population critical to its future development. Addressing the health needs of this group is imperative for progress. Dysmenorrhea, characterized by painful menstrual cramps, is prevalent among adolescent girls, and home remedies are commonly used for management. This study aimed to evaluate the knowledge of home remedies for dysmenorrhea among girls at TRK Higher Secondary School in Vaniyamkulam. Objectives: The research had two main objectives: …
Published in International Journal of Women's Health Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 52–60 Read article
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Elevating Security in IoT Cloud Fusion: Challenges and Remedies
Abstract: The integration of internet of things (IoT) devices and cloud computing platforms, known as IoT cloud fusion, enables powerful new applications but also poses significant security risks. This paper provides a comprehensive analysis of the security challenges in IoT cloud fusion and emerging remedies to elevate protection. We assess key threats around data privacy, authentication, integrity, scalability, and interoperability through a systematic literature review methodology. Encryption, access controls, blockchain, and …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 41–55 Read article
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Patient Profile and Antimicrobial Susceptibility Testingin Clinical Isolates of Staphylococcus aureus
Abstract: INTRODUCTION: Staphylococcus aureus is a gram-positive bacterium capable of causing various infections, ranging from minor skin infections to serious bloodstream infections. The rise of methicillin-resistant S. aureus (MRSA) strains has made treating these infections more challenging, as MRSA is frequently resistant to several types of antibiotics.. OBJECTIVE: The aim of this study was to investigate the patient profile and antimicrobial susceptibility patterns of clinical isolates of S. aureus in a …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 2, 2024 · pp. 31–38 Read article
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AI-Powered Smart Door Lock System with IoT Integration for Enhanced Home Security
Abstract: An AI-Powered Smart Door Lock System with IoT Integration for Enhanced Home Security system is an advanced security solution that utilizes sensors, microcontrollers, and authentication mechanisms to control access efficiently. This system is designed to enhance security and convenience by eliminating the need for traditional keys, reducing the risks associated with lost or duplicated keys. It operates using various authentication technologies such as RFID (Radio Frequency Identification), fingerprint recognition, and …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 34–38 Read article
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Simulation and Experimental Studies on the Effect of Injection Moulding Parameters on Tensile Properties of ABS Thermoplastic Specimen
Abstract: AbstractThe injection moulding process is the most widely used method of manufacturing Engineering thermoplastics. Thermoplastic blends and composites are suitably replacing metals and ceramics in most circumstances. This trend is mainly due to the versatility and compatibility of the injection moulding process. However, the injection moulding conditions has a significant impact on the aesthetic and functional characteristics of the final product as the flow induces substantial variation in the properties …
Published in Journal of Polymer & Composites · Vol. 3, Issue 2, 2015 · pp. 1–10 Read article
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Customer Churn Prediction Using ML Algorithms
Abstract: Comprehending customer churn is essential for businesses aiming to enhance and sustain customer relationships. This study introduces a machine learning approach aimed at forecasting customer churn by leveraging demographic and behavioral data. Our research involved developing predictive models using support vector machines (SVM), random forests, and decision trees, evaluating their efficacy using real-world data from the telecom industry. Our findings underscore that random forests consistently outperform SVM and decision trees …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 70–75 Read article
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Driver Drowsiness Detection System
Abstract: One of the main causes of road accidents worldwide in recent years is driver fatigue. Assessing a driver's mood, or how sleepy they are, is a clear approach to gauge their level of exhaustion. Therefore, detecting driver fatigue is very important to save lives and property. The creation of a prototype drowsiness detection system is the aim of this research. The system operates in real time, continuously capturing images and …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 16–21 Read article
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Analyzing Flood Return Levels Using the Gumbel Distribution in Niamey, Niger
Abstract: Floods are among the most severe natural disasters, capable of causing significant damage to both the environment and society. This research utilizes the Gumbel distribution to analyze flood return levels by examining historical data from Niamey, Niger. The study focuses on river heights, flow rates, and precipitation patterns to understand the dynamics of flooding in the region. By analyzing these parameters, the research aims to identify severe weather trends and …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 1–12 Read article
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Melanogenic Inhibitory Effects of Sesamum indicum Phytocompounds Towards CDK 2, c-KIT, and BRAF.
Abstract: Objective: Melanoma is thought to be the fifth most frequent cancer in the US population, despite cancer being the most common cause of death in the globe. BRAF, CDK2, and c-KIT proteins are regarded as potential therapeutic agents since mutations in these proteins are the primary cause of melanoma. For the investigation of their pharmacological properties and therapeutic activities against the target proteins, Sesamum indicum L. and its phytocompounds were …
Published in International Journal of Bioinformatics and Computational Biology Read article
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Comparative Study to Assess the Knowledge of Higher Secondary School Students Regarding Career Counselling in Selected Rural and Urban Schools of Kashmir
Abstract: Background: Career counseling assists individuals in choosing appropriate educational and occupational choices and making career options based on future employment demands and requirements. Career counseling comprises a wide variety of professional activities that assist people in overcoming career-related obstacles. Aim: The primary objective of the study was to evaluate the understanding of career counseling among students in chosen rural and urban high schools in Kashmir. Method: This study employed a …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 1, 2024 · pp. 11–18 Read article
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Design and Implementation of smart Grocery Packaging System
Abstract: The increasing demand for speed, accuracy, and cost efficiency in retail operations has accelerated the adoption of automation technologies in grocery packaging systems. Traditional grocery packaging methods rely heavily on manual labor, which often leads to errors in quantity measurement, inconsistent packaging quality, increased labor costs, and slower processing times. To address these challenges, this work presents the design and implementation of a smart automated grocery packaging system aimed specifically …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 46–52 Read article
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Intermittent Fasting: Exploring the Benefits and Risks of Intermittent Fasting for Weight Loss and Overall Health
Abstract: Perception in Intermittent Fasting: One novel approach for managing weight is intermittent fasting (IF) which is gaining more popularity in recent days. This research investigates advantages and disadvantages of IF with an emphasis on its impact on metabolic processes, cardiovascular health, cognitive abilities, and changes in hormone levels. Methods: A literature review comprising randomized clinical trials, cohort studies, and meta-analyses of peer-reviewed publications was performed. A resolution was obtained by …
Published in Research & Reviews : Journal of Herbal Science · Vol. 14, Issue 3, 2025 · pp. 24–29 Read article
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Multi-Criteria Assessment of Renewable Energy Technologies for Solar Buildings Using Waspas Method
Abstract: This research comprehensively evaluates renewable energy alternatives for solar buildings using the WASPAS multi-criteria decision-making framework. The analysis covers six distinct energy technologies: geothermal heat pumps, wind turbines, biomass heating systems, micro-hydro installations, fuel cells and building-integrated energy efficiency systems. These options are assessed against four key criteria: energy efficiency, economic viability, environmental sustainability and technical feasibility. The WASPAS methodology combines both summative and multiplicative techniques to produce reliable rankings. …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 2, 2026 Read article
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Effectiveness of Temporins for the Treatment of HPV Infections
Abstract: Objectives: Human papillomavirus (HPV), especially high-risk variants like type-16 have been linked to the formation of malignant tumors. HPV-16 has been implicated in most cases of cervical cancer in women. This study aims to assess the effectiveness of three types of temporin molecules, i.e., antiviral peptides secreted by certain frog species, for the inhibition of the viral L1 protein. Methods: In the present study, various computational tools were used to …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 1, 2024 · pp. 41–53 Read article
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Challenges and Opportunities in the Catalytic Conversion of CO₂ to Value-Added Chemicals
Abstract: The catalytic conversion of CO2 into value-added chemicals presents a promising strategy for tackling the dual challenges of greenhouse gas emissions and the sustainable production of chemicals. This process transforms CO2, a major contributor to climate change, into useful products such as methanol, formic acid, and hydrocarbons. Such an approach not only helps mitigate CO2 levels in the atmosphere but also generates economically valuable products, thereby supporting both environmental and …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 2, 2024 · pp. 30–35 Read article
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Anomaly Based Intrusion Detection Using Machine Learning Techniques
Abstract: Detection of Cyberattacks/anomalies in a network to build an efficient Intrusion Detection System (IDS) is very important. A system called an intrusion detection system (IDS) monitors network traffic in order to find suspicious activity and sends out signals when it is noticed. Monitoring and data analysis are designed with the objective of finding any network or system intrusions. Machine learning methods can anticipate both known and unidentified attacks. This project …
Published in Journal Of Network security · Vol. 10, Issue 2, 2022 · pp. 1–8 Read article
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Revolutionizing Gastro-retentive Drug Delivery: Exploring Innovative Formulation Strategies and Mechanisms in Floating in Situ Gel Raft Forming System
Abstract: An in-depth exploration of the transformative shift underway in gastro-retentive drug delivery, spotlighting the utilization of Floating Drug Delivery Systems (FDDS) and specifically honing in on the innovative formulation strategies and mechanisms inherent in Floating In Situ Gel Raft Forming Systems. FDDS present a promising avenue for revolutionizing drug delivery efficacy by capitalizing on buoyancy to float atop the gastric fluid surface, thereby extending gastric residence time and improving drug …
Published in Trends in Drug Delivery · Vol. 11, Issue 1, 2024 · pp. 9–21 Read article
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AI-Powered Fire Detection System for Accurate and Timely Emergency Response
Abstract: AI-based fire detection system leverages deep learning and Open CV. Issues with conventional fire detection techniques include false alarms and expense. The proposed system uses deep learning for real-time fire detection in videos, enhancing accuracy and adaptability. OpenCV aids in crowd counting, improving situational awareness during emergencies. This innovation promises to revolutionize fire safety by offering timely and precise detection, potentially saving lives and property. Additionally, by counting crowds, the …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 30–36 Read article
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A Comparative Analysis of the Automotive Parts Using the Electre Method
Abstract: The engine one of the most important components of a vehicle and the performance of the vehicle depends on it. Every It is the heart of the vehicle. It's a complex an engine that converts heat from burning gas into power Designed to change turn road wheels.The automobile gave people more personal freedom and provided access to jobs and services. This is Better roads and transportation led to growth. For …
Published in Journal of Control & Instrumentation · Vol. 13, Issue 3, 2022 · pp. 16–27 Read article
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Operational Modeling of Cutting Parameters Influence on Power Consumption and Surface Roughness in CNC Turning of AISI 304
Abstract: This paper describes the power consumption and surface roughness predictive model development in computer numerical control (CNC) turning of AISI 304 austenitic stainless steel using Taguchi method and response surface method (RSM). The experiments are designed and conducted based on Taguchi’s design of experiments (DoE) with cutting speed, feed rate, depth of cut and nose radius as the process parameters. Signal-to-noise (S/N) ratios of responses are calculated to identify the …
Published in Journal of Production Research & Management · Vol. 3, Issue 1, 2013 · pp. 8–15 Read article