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358 articles for “lead time”
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Luminodeficit: The Paradox of High Rent and Abandoned Interiors
Abstract: The paradox of high rent and poor daylighting in residential buildings is a pressing issue in urban areas like Port Harcourt, Rivers State, Nigeria. Despite paying premium rents, many residents experience inadequate daylighting, leading to unexpected behavioral outcomes. This study aims to explore the effects of daylight deprivation on residents of high-rent residential buildings in Port Harcourt. It investigates how poor daylighting influences indoor time spent and overall occupant satisfaction, …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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A Web Application for Predicting Diabetes Using Machine Learning Methods
Abstract: Diabetes is a long-term disease caused by high glucose quantity in the blood. It has the potential to result in serious health complications like heart disease, hypertension, and ocular damage. It is good to identify any health issues as early as possible to get the right medical treatment and make necessary lifestyle adjustments. One makes use of machine learning techniques to predict diabetes and develop treatment options using actual cases. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 92–102 Read article
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Case Study on Snake Bite
Abstract: Snakebites are a major public health concern in India, with the World Health Organization (WHO) estimating approximately 5 million cases annually. Out of these, around 2.7 million involve envenomation, where venom is injected through the snake's bite. These venomous bites pose significant medical emergencies and can lead to severe complications, including permanent physical impairments if not treated promptly. Immediate medical intervention is crucial to mitigating the adverse effects of snakebites. …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 2, 2024 · pp. 21–25 Read article
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Infant Nutrition: Overcoming Challenges in Malnutrition, Weaning, Allergies, and Food Storage for Healthy Growth and Development
Abstract: This review paper examines the critical nutritional needs of infants, focusing particularly on the growth and development of children aged 6-12 months. During this phase, infants experience rapid physical, cognitive, and emotional development, which is heavily dependent on adequate nutrition. The paper explores various aspects of infant nutrition, including the roles of essential nutrients, the challenges posed by malnutrition, and the specific implications of protein energy malnutrition (PEM). It also …
Published in International Journal of Trends in Horticulture · Vol. 2, Issue 1, 2025 · pp. 13–17 Read article
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AI-Powered Solutions for Sustainable Waste Management in Construction Projects
Abstract: The construction industry is a significant contributor to global waste, posing challenges to sustainability and environmental health. This research explores AI-powered solutions for sustainable waste management in construction projects, focusing on optimizing waste reduction, recycling, and resource efficiency. By integrating machine learning algorithms and IoT-enabled sensors, real-time monitoring of waste generation and segregation can be achieved. Predictive analytics and AI-driven decision-making tools are employed to enhance material reuse and minimize …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 1–5 Read article
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Comparative Efficacy and Safety of Safinamide and Rasagiline in the Treatment of Parkinson’s Disease: A Meta-Analysis and Systematic Review
Abstract: Background: Recent studies have suggested Rasagiline and Safinamide monotherapy as potential management options for Parkinson’s disease. Parkinson’s disease, a neurological disorder characterized by tremors and movement difficulties, necessitates treatments aimed at managing clinical symptoms. Levodopa remains the primary effective treatment for Parkinson’s disease symptoms; however, its long-term use often leads to motor complications in many patients. Additional therapeutic drugs, such as dopamine agonists and monoamine oxidase B inhibitors, including Safinamide …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 74–91 Read article
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Critical Nutritional Needs of Infants: A Review of Challenges and Solutions in Infant Nutrition
Abstract: This review paper examines the critical nutritional needs of infants, focusing particularly on the growth and development of children aged 6-12 months. During this phase, infants experience rapid physical, cognitive, and emotional development, which is heavily dependent on adequate nutrition. The paper explores various aspects of infant nutrition, including the roles of essential nutrients, the challenges posed by malnutrition, and the specific implications of protein energy malnutrition (PEM). In addition, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 1, 2025 · pp. 11–14 Read article
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A Community-Based Study to Assess the Impact of Pharmacist Led Home Medication Review in Patients with Diabetes Mellitus in Dakshina Kannada
Abstract: Diabetes mellitus is a chronic metabolic disorder with the condition where there is an abnormally high blood glucose level. Home medication review (HMR) is a patient-centered process that provides the effective and quality use of medication at the patient’s home. According to a study, nearly 50% of Type II diabetes fail to recite adequate glycemic control due to poor management of anti-diabetic medications. So, a community-based interventional study was conducted …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 29–34 Read article
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Multiple Disease Prediction Using Machine Learning Algorithms
Abstract: The incorporation of machine learning algorithms into healthcare has transformed disease prediction and diagnosis. This research introduces a method for predicting various diseases using machine learning techniques. A comprehensive dataset, consisting of patient records, medical histories, and key disease-related features, was utilized to build predictive models. Data preprocessing methods, including feature selection and normalization, were implemented to clean and prepare the dataset. Several machine learning algorithms, such as Decision Trees, …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 3, 2024 · pp. 34–38 Read article
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IoT-based Patient Fall Detection and Alerting System for Patient Safety
Abstract: This paper presents an Internet of Things (IoT) based patient fall detection and alerting system designed to enhance patient safety in healthcare settings. Falls among patients, especially in hospitals or care facilities, can lead to severe injuries and complications. The proposed system utilizes wearable sensors integrated with IoT technology to continuously monitor the movements and activities of patients. Machine learning algorithms are employed to analyze sensor data in real time, …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 9–14 Read article
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Employee Well-Being: Deep Learning Approaches to Stress Detection
Abstract: Stress has become a major concern for employee health, productivity, and overall well-being in today's fast-paced work environment. It is a growing global issue, affecting both individual employees and the productivity of organizations. Work-related stress occurs when the demands of a job surpass an individual's ability to manage, whether because of long hours, overwhelming responsibilities, or other pressures. Factors such as conflicts with coworkers or supervisors, constant changes, and job …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 52–58 Read article
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Struggles Against Displacement: A Case Study of Nilgiri Tribes TODA
Abstract: This research explores the displacement faced by the Nilgiri tribes of southern India, examining both historical and contemporary contexts. Historically, the Nilgiri tribes, including the Todas, Kotas, and Kurumbas, have lived in the Nilgiri Hills for centuries, maintaining distinct cultural practices and agricultural traditions. However, the onset of British colonial rule in the 19th century marked the beginning of their displacement, as the British established tea plantations, appropriating tribal lands. …
Published in International Journal of Rural and Regional Development · Vol. 3, Issue 2, 2025 · pp. 39–49 Read article
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A Comprehensive Study on IOT Based Smart Street Light Management System Using Dynamic Brightness Control
Abstract: Street lighting is vital in urban centers for ensuring public safety, enhancing security, and promoting energy efficiency. However, traditional lighting systems often lack adaptability and responsiveness, leading to increased energy consumption and higher operational costs. To address these challenges, this preliminary report introduces an innovative IoT-driven smart lighting control system utilizing Bolt WiFi module technology. This smart lighting system marks a significant advancement in urban lighting management. By integrating IoT …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 1, 2024 · pp. 10–15 Read article
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Evaluating the Effectiveness of an Informational Booklet on Health Hazard Awareness of Plastic Waste Among Rural Residents in Selected Communities of Kanpur, Uttar Pradesh
Abstract: Plastic has revolutionized the world with its lightweight and strong properties, making it indispensable in daily life. We interact with plastic objects countless times each day. Scientific advancements have yielded considerable advantages, yet they are accompanied by notable drawbacks, particularly concerning plastic. The harmful effects of plastic are profound, posing a serious environmental threat. Failure to enforce control measures could lead to catastrophic consequences from plastic pollution. Frequently, insufficient awareness …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 38–44 Read article
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Computational Biomodeling: Transforming Drug Design with Advanced Simulations
Abstract: Computational biomodeling has emerged as a transformative approach in the field of drug discovery, significantly enhancing the efficiency and precision of identifying and optimizing potential drug candidates. This article explores the various computational techniques utilized in drug design, including molecular docking, molecular dynamics (MD) simulations, free energy calculations, and virtual screening, and examines how these methods collectively contribute to the drug development process. The integration of these advanced simulations allows …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 24–29 Read article
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IOT and algorithmic intelligent motor health monitoring as well as maintenance prediction
Abstract: Manufacturing, transportation, and energy systems rely largely on industrial electric motors, and their untimely failure can result in expensive downtime, safety hazards, and decreased operational efficiency. The majority of traditional motor maintenance procedures rely on reactive methods or routine inspections, which frequently miss early-stage problems and lead to needless maintenance or unexpected breakdowns. This project offers an Intelligent Motor Health Monitoring and Predictive Maintenance System that combines Internet of Things …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 28–37 Read article
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Labeling transparency and heavy metal contamination in commercial protein powders: A case study
Abstract: With the recent surge in market demand, health supplements particularly protein powders, have become increasingly vulnerable to quality deterioration, adulteration, and unethical marketing practices. Non-compliance with labeling regulations is on a rise. Moreover, research indicates that heavy metals absorbed from contaminated soil often accumulate in the protein fractions of crops, thereby elevating the risk of heavy metal contamination in protein powders. These issues highlight the urgent need to systematically assess …
Published in International Journal of Nutritions · Vol. 3, Issue 1, 2026 Read article
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Advanced Security Mechanisms for Protecting Mobile Devices: A Comprehensive Analysis of Threats and Counter Measures
Abstract: The digitization of clinical care has led to significant advancements in medical devices and telemetry, fundamentally transforming the healthcare landscape. These innovations have enhanced the quality of patient care by enabling more accurate diagnoses, real-time monitoring, remote consultations, and increased transparency in clinical workflows. As a result, modern medical practices have become more efficient, data-driven, and patient-centric. Devices such as infusion pumps, pacemakers, ventilators, and wearable monitors now rely heavily …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 24–31 Read article
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A Review on Amino Acids
Abstract: Protein is made up of amino acids, which are the building blocks of the molecule. Only 20 amino acids are involved in protein synthesis, even though more than 300 amino acids have been identified. In nature, all twenty amino acids did not appear at the same time. Rather, some of them appeared first, while others were later incorporated into the genetic code. It is vital to include them in one's …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 8, Issue 3, 2023 · pp. 19–27 Read article
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Implementation of Robotics in Pharmacy System
Abstract: Implementation of robotics are the essential aspects for development of the pharmacy sector. This replaces the medication (or) industrial process with new technology which results in significance of accurate and quality results. This technology aims to detect and ensure quality of finished products with new methodology which increases in productivity and it also identifies potential problems and rectify them which gives a great impact on pharmacy system. The main purpose …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 1, 2024 · pp. 1–15 Read article