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794 articles for “key management”
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Quorum Sensing and Biofilm Dynamics in Pathogens: An Evolving Frontier in Infectious Disease
Abstract: Bacterial and fungal pathogens rarely act as solitary invaders. Instead, they engage in sophisticated chemical communication known as quorum sensing (QS) to coordinate population-wide behaviours and construct structured, multicellular biofilm communities. These biofilms, composed of extracellular polymeric substances, not only facilitate microbial persistence on biotic and abiotic surfaces but also confer remarkable protection against host immune defenses and antimicrobial therapies. QS systems act as central regulators of biofilm dynamics, orchestrating …
Published in International Journal of Pathogens · Vol. 3, Issue 1, 2026 · pp. 18–23 Read article
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Exploring Malaria Fever (Vishama Jwara) Through an Ayurvedic Lens: A Comprehensive Review
Abstract: Malaria fever, known as Vishama Jwara in Ayurveda, is a significant global health challenge caused by the Plasmodium species transmitted via Anopheles mosquitoes. While conventional medicine has advanced in diagnosing and treating malaria, exploring it through the Ayurvedic perspective offers valuable insights into its holistic understanding and management. Ayurveda describes Vishama Jwara as a fever with irregular patterns, aligning with the cyclical febrile episodes seen in malaria. This review delves …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 3, 2024 · pp. 47–53 Read article
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A Sustainable EOQ Model for Declining Products Incorporating Cubic Demand, Variable Deterioration, Partial Backlogging, and Carbon Emission Optimization
Abstract: In this paper proposes a sustainable Economic Order Quantity (EOQ) model for inventory systems involving decaying items under cubic time-dependent demand, variable decaying rates, and partial backlogging while absolutely considering carbon emission costs. The model reflects practical market actions where demand initially increases and afterwards declines over time, and decay depends on the age of the item. To demonstrate the current model's applicability as well as evaluate the trade-off between …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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A Survey on Datamining Techniques and its Uses on Real-Time Applications
Abstract: AbstractData mining is one of the area gaining lot of sensible significance and is progressing at a brisk pace with new methods, methodologies and findings in diverse packages associated with remedy, computer science, bioinformatics and stock market prediction, climate forecast, textual content, audio and video processing to name a few. Data occurs to be the key difficulty in statistics mining. With the massive online facts generated from several sensors, Internet …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 12–17 Read article
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Genetic Counseling: A Pathway to Understanding and Managing Inherited Health Risks
Abstract: Genetic counseling is an essential aspect of personalized medicine that supports individuals and families in understanding the implications of inherited health conditions. With the rising prevalence of genetic disorders and advancements in genomic technologies, counseling provides critical insights into risk factors, diagnostic options, and informed decision-making. This paper explores the classification of genetic disorders, major genetic and environmental causes, and the expanding role of genetic counseling within India’s culturally diverse …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 10–14 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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Blockchain and Web3 Infrastructure Automation Using Shell Programming: Security, Efficiency, and Best Practices for Decentralized Systems Management
Abstract: Blockchain and Web3 systems demand automation that is transparent, secure, and fully auditable, which is essential when managing nodes, deploying smart contracts, and maintaining decentralized infrastructure. This research paper explores how shell programming can effectively support these operations across Ethereum, Hyperledger Fabric, and Polkadot networks. The analysis draws from 180 practical automation scenarios covering node setup, synchronization, smart contract pipelines, monitoring, and security hardening. Shell-based scripts were compared directly against …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 2, 2026 · pp. 1–8 Read article
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Sustainable Computing: Pioneering Energy-Efficient Innovations for a Greener Digital Future
Abstract: Sustainable computing is an emerging field that focuses on developing environmentally responsible and energy-efficient computing technologies. As the global demand for computing power continues to rise, so does the environmental impact of data centers, hardware manufacturing, and energy consumption.This article explores the key principles of sustainable computing, including energy-efficient hardware design, green data centers, and the role of software optimization in reducing energy consumption. We discuss the importance of adopting …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 15, Issue 2, 2025 · pp. 32–45 Read article
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An Evaluation of Climate-Resilient Urban Transport System Using Climate Change Scenario in Lagos Metropolis, Nigeria.
Abstract: Abstract The objective of this project is to provide transit professionals with information and analysis relevant to adapting [1] transportation assets and services to climate change impacts. Climate impacts such as thermal discomfort and flooding will hinder agencies’ ability to achieve goals such as attaining a state of good repair and providing reliability and safety. The report examines anticipated climate impacts on Lagos transit and current climate change adaptation efforts …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 11, Issue 2, 2020 · pp. 1–14 Read article
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Concept of Rhinosinusitis in the Unani Medicine: A Systematic Review
Abstract: Chronic rhinosinusitis (CRS) is a common multifactorial inflammatory disease of the mucosal lining of nose and paranasal sinuses. It is a frequently occurring disease, with significant impact on quality of life and health care spending, and economic impact in terms of absenteeism and productivity. The signs and symptoms of Warm-e-Tajaweef Anaf Muzmin (Chronic rhinosinusitis) are consistent with Nazla barid which depend on the involvement of paranasal sinuses. About 5–15% of …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 6, Issue 3, 2017 · pp. 33–41 Read article
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Offline Distribution Application with Salesman Tracking System
Abstract: In today’s highly competitive business environment, where customer demands are constantly changing, organizations are actively exploring methods to streamline their sales procedures and enhance their overall effectiveness. Sales force automation software emerges as a transformative solution, offering a suite of tools designed to streamline, automate, and enhance sales activities, ultimately leading to improved efficiency, effectiveness, and customer satisfaction. This abstract delves into the fundamental aspects of sales force automation software, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 2, 2023 · pp. 29–35 Read article
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Time Series Forecasting of Electricity Consumption: A Comparative Analysis of ARIMA and SARIMA Models
Abstract: Accurate electricity demand forecasting plays a vital role in energy planning, efficient power system operation, and sustainable resource management. This study conducts a comparative evaluation of the Autoregressive Integrated Moving Average (ARIMA) and Seasonal Autoregressive Integrated Moving Average (SARIMA) models using ten years of monthly electricity consumption data collected from a national electricity regulatory authority. The performance of both models is assessed using forecasting accuracy metrics, including Mean Absolute Error …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 43–53 Read article
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Smart Management of EV Charging Station Using AI Chatbot & TOM API
Abstract: This paper endeavors to address the pressing challenges associated with EV charging by proposing a comprehensive smart management system for EV charging stations. The system aims to streamline the EV charging process, making it more accessible, convenient, and sustainable for users. By harnessing the power of renewable energy sources, particularly photovoltaic systems, the paper seeks to mitigate the environmental impact of EV charging while simultaneously optimizing resource utilization. Through innovative …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 2, 2024 · pp. 16–23 Read article
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Deep Learning models for real time detection of crop diseases in the Maharashtra/Mumbai district
Abstract: This research project addresses the critical agricultural challenge of crop disease management in the Maharashtra region of India by leveraging modern deep learning techniques. The primary objective is to identify, implement, and compare the efficacy of various deep learning architectures—including Convolutional Neural Networks (CNNs), MobileNet, and EfficientNet—for the real-time classification of diseases in key crops such as cotton, soybean, and sugarcane. A custom dataset of agricultural images specific to Maharashtra's …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 36–48 Read article
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Emerging Role of Drone Technologies in Environmental Research: Trends, Applications, and Future Directions
Abstract: Unmanned aerial vehicles (UAVs), commonly called drones, have rapidly transformed environmental research and management over the past decade. Their flexibility, improving sensor payloads, and ability to collect high-resolution spatial and temporal data make them powerful tools across disciplines — from biodiversity monitoring and precision agriculture to water quality assessment and disaster response. UAVs bridge the gap between ground-based surveys and satellite remote sensing by offering near-real-time, fine-scale data acquisition that …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 34–42 Read article
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Innovations in Atmospheric Remote Sensing: From Satellites to Lidar and Beyond
Abstract: Atmospheric remote sensing plays a vital role in monitoring and understanding the Earth's atmosphere, providing essential data for climate studies, weather forecasting, and environmental management. This review discusses various remote sensing technologies, including satellites, radiometers, lidar, radar, and GPS radio occultation, each contributing unique capabilities for atmospheric observations. Satellite remote sensing allows for global coverage and continuous monitoring of atmospheric parameters, while ground-based systems enhance localized measurements. Key applications include …
Published in International Journal of Atmosphere · Vol. 1, Issue 2, 2024 · pp. 10–15 Read article
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Resilient Shell-Based Frameworks for Edge and IoT Systems: A Comprehensive Analysis of Lightweight Automation in Distributed Environments
Abstract: Edge computing and Internet of Things (IoT) deployments require automation solutions that minimize resource use while supporting real-time processing and intermittent connectivity. This study investigates shell-based frameworks for managing distributed edge and IoT systems, with emphasis on sensor integration, live monitoring, and fault recovery. Drawing from 200 real-world deployment cases across smart city, healthcare, and industrial domains, the analysis compares shell scripting directly against containerized approaches (e.g., Docker with lightweight …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 1, 2026 · pp. 01–07 Read article
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Program Based Common Exams Evaluation System
Abstract: A web-based software or examination system, where exams can be taken and given, is referred to as a common examination system. Using a computer system or an Android phone, you can access the internet or an intranet. The studies and comparisons for different web-based examination systems in individual field, introduced as a set of designed mode about general examination platforms which apply in universities and schools, analysis and research key …
Published in Recent Trends in Programming languages · Vol. 8, Issue 1, 2021 · pp. 16–23 Read article
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Technological Development in Education through Online Learning
Abstract: Online education has become familiar nowadays in many countries as well as in India also. Training institutes in India are the pioneers of this system. By following their steps many colleges and universities have also adopted this system. Leaning methods constantly keep changing from generation to generation which proves the development of technology in every aspect. Nowadays students for any of their academic work used to refer or take key …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 9, Issue 2, 2022 · pp. 20–24 Read article
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Optimizing Urban Mobility with AI-Based Traffic Management
Abstract: Urban mobility is a pressing concern in modern cities, plagued by issues like traffic congestion and pollution. This research involves, "Optimising Urban Mobility with AI-based Traffic Management", delves into the potential of Artificial Intelligence (AI) to revolutionize traffic management. Focusing on AI algorithms, data analytics, and sensor technologies, the research aims to enhance traffic flow, reduce congestion, and improve overall efficiency. Through statistical analysis and simulations, the research evaluates the …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 34–43 Read article