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1328 articles for “management systems”
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Investigating Temperature Effects on Thermal Analysis of Composite Heat Pipes with Diverse Geometrical Configurations
Abstract: As the demand for efficient heat dissipation technologies continues to surge, understanding the intricate interplay between temperature variations and the thermal performance of heat pipes assumes paramount importance. This study investigates the impact of temperature fluctuations on the thermal behaviour of heat pipes with diverse geometric configurations. A comprehensive analysis is conducted utilizing advanced computational simulations coupled with experimental validation techniques. Heat pipes are an innovative heat transfer device with …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 20–34 Read article
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Herbal Frontiers: The Role of Alternative Remedies in Combating Typhoid Fevers
Abstract: Typhoid fever, caused by Salmonella typhi, remains a major health challenge, particularly in developing regions where sanitation and healthcare resources are limited. With an estimated global incidence of 17 million cases annually, the disease poses a significant public health burden. The growing resistance to conventional antibiotics, such as fluoroquinolones and third-generation cephalosporins, exacerbates treatment challenges. This has spurred interest in alternative remedies, including herbal and homeopathic treatments.Herbal medicine offers a …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 Read article
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Alternative Medicine: A Review Article the Lupus Journey from the Diagnosis to Recovery and Beyond
Abstract: Lupus, a chronic autoimmune disease, presents a complex and often volatile journey for patients, from diagnosis to recovery and beyond. The course is usually characterized by periods of acute flare-ups, followed by remissions, with different symptoms affecting different organ systems. This review delves into managing lupus with alternative medicine, highlighting how it can work alongside conventional treatments. It covers topics like diet, herbal remedies, acupuncture, and mind-body practices, all aimed …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 1, 2025 · pp. 9–18 Read article
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Machine Learning-Based Approach for Heart Disease Prediction
Abstract: Heart disease is a significant global health challenge, with early diagnosis and prediction being essential for reducing mortality rates. Machine Learning (ML), an efficiently developing field within Artificial Intelligence, provides innovative methods for analyzing complex clinical data to predict heart disease. This review examines the basic machine learning techniques, data, and metrics used in cardiovascular disease prediction. It explores the role of supervised learning, such as decision trees and logistic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 64–73 Read article
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Human-robot Collaboration in Manufacturing: Safety, Efficiency, and Technological Developments
Abstract: Human-robot collaboration (HRC) has emerged as a transformative force in modern manufacturing, significantly enhancing productivity, operational flexibility, and overall efficiency. This review article explores the fundamental aspects of HRC, with a particular focus on safety protocols, efficiency optimization, and technological advancements that are shaping the future of collaborative robotics. Ensuring safety in HRC environments is a primary concern, necessitating the implementation of advanced safety measures, risk assessment methodologies, and compliance …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 1, 2025 · pp. 18–23 Read article
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Low-Grade Heat Recovery: Emerging Materials and Systems for Efficient Utilization
Abstract: Low-grade heat (LGH), generally characterized by temperatures below 200°C, constitutes a significant portion of wasted thermal energy in industrial, commercial, and even residential processes. Despite its vast availability, the efficient recovery and utilization of LGH remains underdeveloped due to its inherently low exergy content and the limitations of traditional heat recovery technologies. The creation of cutting-edge materials and creative system-level approaches for LGH recovery has accelerated significantly as companies continue …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 1, 2025 · pp. 24–29 Read article
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The Assessment of Electric Vehicle Fire Risk Using the Failure Tree Analysis
Abstract: With the global shift toward sustainable transportation, the widespread adoption of electric vehicles (EVs) is rapidly becoming a reality, largely driven by growing environmental awareness and concerns over climate change. However, alongside this transition comes a set of emerging challenges, most notably, the increasing incidence of EV-related fire hazards, which have attracted significant public and media scrutiny. This situation highlights the urgent need for a detailed and systematic approach to …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 2, 2025 · pp. 27–38 Read article
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Review on Formulation and Evaluation of Herbal Gel of Moringa oleifera and Aloe vera for management of acne
Abstract: Acne vulgaris is a prevalent chronic inflammatory disorder of the pilosebaceous units, characterized by excessive sebum production, follicular hyperkeratinization, bacterial colonization, and inflammation. Conventional therapies often result in side effects and the development of drug resistance, prompting the exploration of natural alternatives. This review highlights the potential of Moringa oleifera and Aloe vera in acne management via topical drug delivery systems (TDDS). Moringa oleifera is rich in bioactive compounds such …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 1, 2026 · pp. 10–16 Read article
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Crop Disease Prediction Using Image Processing
Abstract: For any country in the world, its livelihood depends on agriculture. However, crop diseases affect the production and food supply of any country because we are unable to detect crop diseases. This paper presents a machine learning CNN (convolutional neural network) model, which uses images of crops to detect diseases. This model detects the diseases in the early stage and provides us with a solution to the crop diseases. It …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 9–16 Read article
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Revolutionizing Motorcycle Safety: A Deep Learning Approach for Helmet and Triple Riding Detection using Computer Vision Technology and Machine Learning Model
Abstract: Introducing a revolutionary paradigm in road safety, our project unveils the Intelligent Traffic Surveillance System (ITSS), a groundbreaking initiative poised to transform urban traffic management. In an era where road safety is paramount, ITSS emerges as a beacon of innovation, harnessing the prowess of computer vision and machine learning to tackle two of the most pressing concerns plaguing our roads: helmet non-compliance and triple riding among motorcyclists. At its core, …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 1, 2024 · pp. 28–36 Read article
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Cybersecurity Early Detection Algorithms for Threats
Abstract: Cybersecurity plays a vital role in protecting digital systems, networks, and data from unauthorized access, misuse, and cyberattacks in an increasingly interconnected world. As reliance on internet-based technologies continues to grow, the frequency and sophistication of cyber threats have also increased, making effective cybersecurity strategies essential. Cybersecurity encompasses a comprehensive framework that integrates technological solutions, organizational processes, and human awareness to ensure the confidentiality, integrity, and availability of information. Key …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 31–37 Read article
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Network Monitoring Tool in Shell Programming
Abstract: Network monitoring is the systematic effort of a computer network to detect slow or failing network components such as overloaded or crashed/frozen servers, failing routers, failed switches, or other problematic devices. The network monitoring system notifies the network administrator in the event of a network failure or other outage. Network management is a subset of network monitoring. Network monitoring is typically accomplished through the use of software applications and tools. …
Published in Journal of Advances in Shell Programming Read article
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Practical Strategies to Mitigate Acidosis in Dairy Cattle: Implications of Nutritional, Genetic, and Management Practices
Abstract: Acidosis in dairy cattle remains a critical concern, adversely affecting rumen health, milk production, and overall animal welfare. This study investigates practical strategies to mitigate acidosis through integrated nutritional, genetic, and management approaches. Nutritional strategies emphasize balancing forage-to-concentrate ratios, providing adequate fiber, and utilizing feed additives such as buffers, probiotics, and yeast cultures to stabilize rumen pH. The importance of gradual dietary transitions and monitoring total mixed ration (TMR) composition …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 2, 2025 · pp. 27–44 Read article
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Cybersecurity Innovations in Industrial Control Systems
Abstract: Industrial control systems (ICS) are essential for automating and managing industrial processes across a broad spectrum of sectors, including energy, manufacturing, transportation, and water treatment. Securing these systems is essential to avoid disruptions that could lead to significant economic losses and safety risks. Recent advancements in ICS cybersecurity encompass several key areas that collectively aim to bolster the security and reliability of these critical infrastructures, thereby enhancing industrial safety. Enhanced …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 2, 2024 · pp. 15–19 Read article
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AI-Driven Cybersecurity: Enhancing System Resilience with Advance Security Automation Program (ASAP)
Abstract: In the face of increasing cyber threats, this work presents advanced security automation program (ASAP) a revolutionary solution aimed at addressing modern cyber threats through the utilization of artificial intelligence (AI) and open-source technologies. Unlike conventional security systems like security information and event management (SIEM) and security operations center (SOC), ASAP provides automated defense mechanisms that surpass their limitations by significantly increasing both the speed and accuracy of incident detection …
Published in Journal of Open Source Developments · Vol. 11, Issue 2, 2024 · pp. 1–19 Read article
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Entropy, Symmetry, and Data Fusion: Emerging Methods in Multi-Objective Decision- Making and Smart Systems
Abstract: In the era of intelligent technologies and data-driven systems, multi-objective decision-making (MODM) has become an essential aspect of managing complex environments such as smart cities, autonomous systems, and cyber-physical networks. As decision-making scenarios become increasingly dynamic and uncertain, there is a growing need for advanced methodologies that can handle diverse objectives, conflicting constraints, and incomplete information. This review highlights the emerging role of entropy, symmetry, and data fusion as foundational …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 44–49 Read article
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Leveraging Arduino Nano for Developing a User-Friendly and Automated Medicine Dispensing System
Abstract: The goal of the "MED BUDDY" project is to address the urgent need for medication management, particularly for elderly individuals, those with chronic illnesses, and those who must adhere to a rigorous medication schedule. An Arduino Nano microcontroller powers the automated medication dispenser known as the MED BUDDY system. By dispensing the appropriate dosage of medication at the appropriate time, it lowers the possibility that users will forget or take …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 37–46 Read article
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The Hidden Struggle: Premenstrual Depression its Impact on Women’s Health and Management Strategies: A Narrative Review.
Abstract: Background: Premenstrual depression, including Premenstrual Syndrome (PMS) and Premenstrual Dysphoric Disorder (PMDD), represents a significant yet underrecognized contributor to women’s mental health burden. Hormonal fluctuations during the luteal phase interact with neurotransmitter systems, particularly serotonin and GABA, leading to affective and somatic symptoms that impair daily functioning. Objective: This systematic review synthesizes evidence on the prevalence, pathophysiology, psychological impact, and management strategies of premenstrual depression among reproductive-aged women, with particular …
Published in International Journal of Nutritions · Vol. 3, Issue 1, 2026 · pp. 21–32 Read article
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New Employee Onboarding Process
Abstract: Set up Excel spreadsheet: Create an Excel spreadsheet template with necessary columns to store employee details such as name, position, department, contact information, etc. The existing employee onboarding portal project in ‘Automation Anywhere’ streamlines the onboarding process using automation. It utilizes Automation Anywhere capabilities to automate tasks such as gathering employee information, creating user accounts, generating documents, and reporting. The system uses an Excel spreadsheet to manage and store employee …
Published in Journal of Open Source Developments · Vol. 12, Issue 1, 2025 · pp. 16–24 Read article
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Nano-Therapeutics in Diabetes Mellitus: Revolutionizing Diagnosis, Treatment, and Drug Delivery
Abstract: Diabetes mellitus is a chronic metabolic disorder in which blood glucose concentration remains high over an extended duration, resulting in significant lethal complications, including neuropathy, nephropathy and cardiovascular diseases. However, conventional diabetes management strategies, including insulin therapy and oral hypoglycemic agents, rarely exhibit poor bioavailability, high doses, off target delivery, etc. Nanotechnology has brought the rise of diabetes treatment revolution, by overcoming the challenges present in standard treatment, owing to …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 08–19 Read article