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358 articles for “lead time”
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Health Implications of Electromagnetic Wave Exposure
Abstract: From low-frequency radio waves to high-frequency gamma rays, electromagnetic waves have a wide range of effects on human health. This diverse subject includes an extensive spectrum of waves. The non-thermal effects of low-frequency waves, such as microwaves, are not completely understood despite the fact that they predominantly represent thermal dangers, which could potentially lead to tissue heating and damage similar to those caused by heating. High-frequency radiation, such as gamma …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 1, 2024 · pp. 9–13 Read article
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Diabetes Risk Prediction from Survey Data Using Machine Learning Algorithms
Abstract: Diabetes mellitus represents one of the most significant global health challenges, affecting millions worldwide and leading to severe complications if left undiagnosed or poorly managed. Early detection and risk assessment are crucial for preventing the progression of this chronic condition. This research presents a comprehensive machine learning approach for predicting diabetes risk using survey-based health parameters. The study implements and compares four prominent classification algorithms: Logistic Regression, K-Nearest Neighbors (KNN), …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Live Epidemiological Tracking of COVID-19 in Senegalese Participants of the Hajj
Abstract: Background: Since the COVID-19 outbreak, global efforts have focused on controlling the disease. However, intense cross border movements pose a risk for the emergence of new SARS-CoV-2 strains. A recent example is the detection of cases among the 2024 Senegalese pilgrims returning from Mecca, Saudi Arabia. Investigations of these cases have revealed genomic evolution of the virus. The lack of surveillance may lead to the emergence of high-threat strains. This …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 2, 2025 · pp. 8–16 Read article
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Overview of Recent Advancement of Nano Stent in Pharmaceutical Application
Abstract: Interventional cardiology has witnessed remarkable progress with the evolution of nanotechnology, leading to the development of nanostents. Nanostents, characterized by their nanoscale features and innovative materials, have emerged as a cutting-edge solution for addressing the limitations associated with traditional stent technologies. This thorough analysis examines the most recent developments in the design, manufacture, and use of nanostents, emphasizing how they may completely transform vascular interventions. The first section of the …
Published in Trends in Drug Delivery · Vol. 11, Issue 1, 2024 · pp. 22–43 Read article
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The Impact of Mindfulness Techniques on Legal Professionals: A Review
Abstract: The legal profession is known for being one of the most strained and taxing careers out there, often demanding long hours that can take a levy on mental health, leading to weariness, anxiety, and a drop in job satisfaction. Mindfulness, which involves being aware of our thoughts, feelings, physiological senses, and surroundings in the moment, has manifested as a valuable instrument to handle these difficulties. This review explores how mindfulness …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 · pp. 39–43 Read article
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Innovations in Civil Engineering: Advancing Infrastructure through AI Technology
Abstract: A comprehensive exploration of the intersection of civil engineering and artificial intelligence (AI) technology, highlighting the transformative impact of AI on infrastructure development, management, and sustainability. The journal encompasses a wide array of research articles, case studies, and reviews that demonstrate the integration of AI into various facets of civil engineering, including but not limited to smart infrastructure, predictive maintenance, structural analysis, and urban planning. By showcasing cutting-edge applications and …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 1–11 Read article
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Performance of Artificial Neural Network for Tree Species Identification using Sentinel-2 Data
Abstract: Accurate land cover mapping, especially concerning vegetation, is crucial for effective land use policy planning and sustainable forest management. Hence, achieving accuracy in mapping requires a deep understanding of composition changes, vegetation conditions, and the spatial distribution of tree species. In the spatial context of tree species, it holds significant potential for applications including invasive species monitoring, delineating contaminated areas, and biodiversity conservation. However, traditional methods for tree species identification …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 12–21 Read article
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Development of a Blockchain-Based System for Drug Counterfeiting and Traceability in the Pharmaceutical Supply Chain
Abstract: Counterfeit drugs present a major risk to public health and pose a substantial threat to the pharmaceutical industry, leading to severe economic losses and risking patient lives. Ensuring the safety and authenticity of the pharmaceutical supply chain is critical to addressing this issue. This study presents a novel approach for enhancing the security and authenticity of the pharmaceutical supply chain through the integration of blockchain technology, decentralized storage, and artificial …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 99–114 Read article
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Scheduled Charging and Discharging of Electric Vehicles for Charging Cost Optimization
Abstract: The growing number of Electric Vehicles (EVs) will have remarkable impacts on the power grid as it leads to the increase in total energy consumption. This increases the overall burden on the grid which would require new power plants. However, it is possible to minimize the impact by proper scheduling for charging and discharging of electric vehicles. In this paper, three optimal schemes have been compared i.e. global optimal scheduling …
Published in Journal of Microelectronics and Solid State Devices Read article
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Addiction to Social Media Platforms Among Undergraduate Students
Abstract: Social media addiction is characterized by an excessive preoccupation with social media platforms, leading to an inability to control the urge to engage with them, which in turn disrupts various aspects of life. A substantial majority, approximately 90%, of individuals aged 18 to 29 years, utilize some form of social media. Statistics suggest that the global prevalence of social media addiction exceeds 210 million individuals. The study sought to assess …
Published in International Journal of Community Health Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 1–9 Read article
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Bioinformatics-based Preparation and Characterization of Silver Nanoparticles Synthesized from Pterocarpus marsupium
Abstract: Silver nanoparticles were synthesized using Pterocarpus marsupium bark extract in combination with silver nitrate solution through a green synthesis method. Silver nanoparticles formation was confirmed by the formation of dark brown from solution of silver nitrate, where the reduction of silver ion occurs which leads to the formation of silver nanoparticles. The UV–visible spectra showed a peak at 429 nm, confirming the reduction of silver ions and the subsequent synthesis …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 2, 2024 · pp. 21–34 Read article
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Ration Distribution with RFID and Mobile OTP Verification using Raspberry Pi
Abstract: The governmental provision of essential domestic commodities at subsidized rates to economically disadvantaged households in developing nations such as India serves as a crucial means of fulfilling basic needs. However, the current mechanism employed in ration shops relies heavily on manual processes for measuring commodities and maintaining transaction records, leading to various challenges including instances of diversion of food grains to the open market. The proposed project, titled " Ration …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 1, 2024 Read article
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Emotions and Artificial Intelligence in Finance: Exploring the Relationship
Abstract: The integration of Artificial Intelligence (AI) into financial systems has profoundly transformed the industry, providing unprecedented efficiency, accuracy, and speed in decision-making processes. These technological advancements have streamlined operations, reduced human errors, and enabled more informed decision-making based on vast datasets analyzed in real-time. However, the role of emotions in finance remains a critical factor that cannot be ignored. Human emotions, such as fear, greed, and optimism, frequently drive market …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 11–17 Read article
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Artificial Intelligence in Diagnostics: Advancements, Challenges, and Future Prospects
Abstract: AI is changing (and will change) healthcare as we know it, and diagnostics might be the specialty that feels the most discomfort. Artificial intelligence-based analytical systems are facilitating the detection, diagnosis, and treatment of a variety of diseases, with better accuracy, speed, and results. Now, this abstract investigates the role of AI in diagnostics, scouring its elements, landmark techniques, transformative impact and future overview. This article explains AI and discusses …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 8–17 Read article
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Machine Learning for Finding Materials for Membranes
Abstract: Traditionally, finding and improving membrane materials has depended on trial-and-error experiments, which can take a long time, cost a lot of money, and only cover a small area. Recent improvements in machine learning (ML) have the potential to change the way membrane materials are designed by making it possible to make predictions about performance, selectivity, and stability based on data. ML algorithms can find hidden links between the structure, composition, …
Published in International Journal of Membranes · Vol. 3, Issue 1, 2026 · pp. 1–7 Read article
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Nihang Singhs: Guardians of Sikh Martial and Spiritual Heritage
Abstract: The Nihang Singhs constitute a distinctive and elite warrior order within Sikhism, historically entrusted with the defense of Sikh faith, sovereignty, and martial ethos. Emerging prominently during the time of Guru Gobind Singh, the Nihangs became frontline defenders of Sikhism during periods of sustained conflict under Mughal, Afghan, and later British rule. This paper examines the historical origins of the Nihang Singhs, their military contributions during the misl period, and …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 1, 2026 Read article
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A Literature Review on Extrusion/Spheronisation-A Pelletization Technology
Abstract: Extrusion-spheronization is a leading pelletization technology, widely favored for its economic and commercial viability. It is a cost-effective method suitable for large-scale production, making it the most efficient approach for oral drug delivery. This process provides multiple benefits, such as improved flow characteristics, lower friability, a narrow particle size range, easier coating, consistent packing, reduced likelihood of dose dumping, and more predictable gastric emptying. Pellets usually measure between 0.5 and …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 1, 2025 · pp. 61–71 Read article
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Clone-Specific Drug Delivery Systems: Targeted Approaches and Future Clinical Applications
Abstract: Clone-specific drug delivery systems represent a transformative frontier in personalized medicine, addressing the longstanding challenge of clonal heterogeneity within diseases such as cancer, infectious diseases, and autoimmune disorders. Traditional drug delivery platforms often fail to discriminate between pathogenic and healthy cells, leading to systemic toxicity and reduced therapeutic efficacy. In contrast, clone-specific systems aim to selectively target and eliminate disease-driving cellular clones based on unique molecular signatures, thereby improving treatment …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 21–29 Read article
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Seismic-Resilient Structural Systems: Geotechnical Engineering
Abstract: Earthquakes represent one of the most destructive natural hazards, capable of causing severe structural damage, loss of life, and substantial economic disruption. Seismic waves propagating through the ground can induce excessive forces and deformations in buildings, often leading to partial or complete collapse. Statistical records indicate that thousands of earthquakes occur globally each year, including several major events that result in significant damage. Past earthquake disasters have repeatedly demonstrated that …
Published in Journal of Geotechnical Engineering · Vol. 13, Issue 1, 2026 · pp. 55–63 Read article
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Analysis of Power Quality Disturbances in Distribution Systems with Renewable Energy Integration
Abstract: The growing integration of renewable energy sources within the electrical distribution systems has greatly altered the working dynamics of the contemporary power grids. The introduction of intermittent and nonlinear sources (solar photovoltaic and wind energy systems) leads to a wide range of power quality disturbances, however. The current paper includes the in-depth examination of the problem of power quality in the distribution systems with the integration of renewable energy. The …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 Read article