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358 articles for “lead time”
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A Review of Herbal Photoprotective Agents: From Traditional Knowledge to Modern Sunscreen Formulations
Abstract: Continuous exposure of skin to UV rays leads to tanning, premature aging, sunburn, pigmentation, and skin cancer. Sunscreens are widely used to protect the skin from these harmful stimuli. However, sunscreen components may interfere with other health concerns like irritation, itching, allergic reactions, and distinct environmental damage. This major concern initiated the introduction of herbal photoprotective agents, which are eco-friendly, safer for use, and rich in antioxidants (preventing free radicals). …
Published in Research & Reviews : Journal of Herbal Science · Vol. 15, Issue 1, 2026 · pp. 8–13 Read article
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Deep Reinforcement Learning-Based Intelligent Energy Management Strategy for Battery–Supercapacitor Hybrid Energy Storage Systems in Electric Vehicles
Abstract: As the number of EVs increases, smart solutions for energy management are needed that will optimize energy use, prolong battery life and boost vehicle performance. The application of conventional rule based and optimization-based Energy Management Strategies (EMS) for Battery–Supercapacitor Hybrid Energy Storage Systems (HESS) often leads to sub-optimal power management, supercapacitor mismatch and battery degradation when subjected to varying driving conditions. This study aims to design an intelligent energy management …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Enhancing Energy Efficiency in HVAC Systems: A Comprehensive Study of EC+ Fans, VFDs, and AI Integration
Abstract: This research paper explores the integration of EC+ fans with Variable Frequency Drives (VFDs) and Permanent Magnet (PM) motors to enhance energy efficiency and operational performance in heating, ventilation, and air conditioning (HVAC) systems. An extensive energy audit was conducted at the BidP plant in Bangalore, focusing on air handling units (AHUs) in Hangar 101. The audit revealed substantial variations in fan efficiency, secondary fan performance, power consumption, and airflow …
Published in Trends in Machine design · Vol. 11, Issue 3, 2024 · pp. 44–54 Read article
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Using Artificial Intelligence for The Design of Polymeric Drug Delivery Systems
Abstract: AI is cost effective and time efficient process. Artificial intelligence is a method which uses high speed calculation, the improvement regarding algorithm along with collection about biological and chemical features in pharmaceutical exploration and development .Present day because continuous progress towards machine learning (ML),Artificial intelligence an effective statistics analysing technology might have been broadly utilized in drug design .In pharmaceutical exploration and research employ of AI in target identification, compound …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1018–1027 Read article
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Data Structure Driven Probabilistic Deadlock Resolution in Multiprocessor Systems
Abstract: Deadlock resolution in multiprocessor systems is fundamentally a graph-theoretic and probabilistic decision problem. Existing victim selection heuristics, such as youngest, oldest, and lowest priority, apply static rules that overlook the dynamic runtime state of processes, leading to unnecessary computational loss. This paper reframes the inference-guided preemption (IGP) algorithm as a data-structure-centric solution, highlighting how resource allocation graphs, wait-for graphs, adjacency lists, min-heaps, and hash-based evidence stores interact to enable efficient …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 11–20 Read article
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AI Activity to Enhance Productivity, Creativity, and Sustainable Development of AI in Healthcare
Abstract: The application of artificial intelligence (AI) in healthcare is revolutionizing the industry by fostering both productivity and creative approaches to patient care and medical research. This study explores how artificial intelligence (AI) is reshaping healthcare by streamlining workflows, improving diagnostic precision, and supporting personalized treatment plans. AI-powered technologies are reshaping the way medical professionals approach patient care, providing tools that not only automate routine administrative and clinical tasks but also …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 21–29 Read article
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Diet Mate: A Personal Nutrition and Health Tracking App
Abstract: The rising prevalence of chronic health conditions, including obesity, diabetes, and hypertension, has become a significant global health challenge. These conditions are often linked to poor dietary habits, which makes diet management a critical component of disease prevention and management. Traditional dietary approaches, such as generic meal plans or standard consultations with nutritionists, often fail to address the unique and evolving needs of individuals, especially those with specific health concerns. …
Published in International Journal of Nutritions · Vol. 2, Issue 2, 2025 Read article
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Assessing Taila Bindu Pariksha as a Diagnostic and Prognostic test for Diabetes Mellitus
Abstract: Ayurveda has consistently emphasised on not just treatment of a disease but also how to diagnose it and further assess the prognosis. Ayurveda is blessed with different diagnostic tests which is broadly classified into Roga and Rogi Pariksha such as Ashtavidha Pariksha, Dashavidha Pariksha and Dwadashavidha Pariksha. These tests are used very rarely by just few Ayurvedic practioners as an important diagnostic and prognostic methods in different diseases. Taila Bindu …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 2, 2026 Read article
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Antimicrobial Resistance: - A Growing Serious Threat for Global Public Health
Abstract: Antibiotics, among the most significant discoveries of the 20th century, have prevented infectious diseases from claiming millions of lives. However, their widespread use and misuse have created strong selection pressure, enabling microbes to develop antimicrobial resistance (AMR) to many drugs. Over time, AMR has spread primarily through human-to-human contact, both within healthcare settings and in the community. It is driven by a complex interplay of healthcare and agricultural factors, including …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 17, Issue 2, 2026 Read article
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Advanced Anomaly Detection in Cloud Infrastructures Using Deep Learning Algorithms
Abstract: It is critical to guarantee the stability and security of cloud environments as cloud computing is becoming the backbone of contemporary IT infrastructures. Neglecting to quickly identify and resolve anomalies, which might point to security breaches, performance problems, or system breakdowns, can lead to disastrous outcomes. The increasing size and complexity of cloud infrastructures are challenging the effectiveness of traditional anomaly detection methods. These approaches often depend on rule-based systems …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 1–11 Read article
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High Strength Concrete Using Stone Waste
Abstract: Concrete is still the main material used in modern construction, and high strength concrete (HSC) is especially important for structures that need to be very strong. With more focus on being environmentally friendly, using waste materials from industries like stone in concrete has become a good way to make construction more eco-friendly. However, getting rid of stone waste, such as granite slurry, marble powder, and quarry dust, causes environmental problems …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 8–15 Read article
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Trapped in the Feed: The Psychology of Social Media Addiction, Algorithms, and Fear of Missing Out (FoMO)
Abstract: Social media has now become the most crucial part of our life which has multiple advantages, such as connecting with old friends, sharing personal experiences, creating a good social circle, and accessing knowledgeable information. However, excessive use can result in social media addiction. This research paper aims to determine the psychology behind social media addiction and its factors, how the psychological behaviors can lead to social media addiction, the role …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 3, 2024 · pp. 8–19 Read article
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Liposomes as Therapeutic Vehicles: Advancing Targeted Drug Delivery in Healthcare
Abstract: Liposomes represent an innovative approach to targeted drug delivery. These tiny, lipid-based vesicles can encapsulate medications, allowing them to travel directly to diseased cells while minimizing impact on healthy tissues. By using liposomes, medications can improve their effectiveness while reducing side effects, leading to better overall treatment results.. Their structure enables a controlled release of the drug, which can be particularly beneficial for therapies requiring sustained action. This technology holds …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 3, 2024 · pp. 39–46 Read article
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Experimental Investigation on Heat Transfer Enhancement in Shell and Tube Heat Exchanger Using Graphene Nanofluids
Abstract: The paper focuses on the dispersion of Graphene nanoparticles in a water–ethylene glycol based fluid to investigate their impact on the convective heat transfer performance of the resulting nanofluid. Various concentrations of graphene nanoparticles were prepared, and the nanofluids were subjected to different ultrasonication durations to ensure proper dispersion and stability of the nanoparticles within the base fluid. The study involved extensive experimental evaluation to systematically analyze how the nanoparticle …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 32–38 Read article
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Comparative Study of Uniform and Non-Uniform Beams Resting on Bi-Parametric Foundation Under Harmonic Load with Time Dependent Boundary Conditions
Abstract: In this study, we investigated uniform and non-uniform damped and time-dependent elastic beams resting on bi-parametric foundation subjected to harmonically varying moving load. The beam properties, including moment of inertia and mass per unit length, were assumed to be either constant or varying with position along the beam span in this study. The solution methods were based on Mindlin-Goodman method, Fourier sine transformation, weighted residual method, integral transformation, and theory …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 1, 2026 · pp. 33–50 Read article
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Analysis of Die Corner Gap Formation for Strain Hardening Materials in ECAP Through an Upper Bound Sensitivity Approach: A Comparative Study
Abstract: In recent work, using a proposed central composite factorial analysis, the upper-bound theorem's theoretical concept for the equal channel angular pressing process are used. The upper-bound theorem-based theoretical solutions consider Tresca friction conditions and varied fillet radii at the die channel junction. When using AA5083's uniaxial mechanical properties, isotropic nonlinear work hardening is assumed. The ratio of the cumulative effective plastic strain to the time generated by the deformation zones, …
Published in Trends in Machine design · Vol. 12, Issue 3, 2025 · pp. 1–22 Read article
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A Study of Environmental Pollution in Some Areas of the City of Najaf for Some Heavy Metals
Abstract: Pollution is one of the most important problems that people face at the present time, and the problem of soil pollution is the most serious, due to its relationship to human health and other organisms. Soil sample collection areas in the city of Najaf were chosen based on several factors, including traffic, industrial and urban activities, and population density. Soil samples were taken at a depth level ranging between 0-15 …
Published in Research & Reviews : Journal of Ecology · Vol. 13, Issue 2, 2024 · pp. 14–23 Read article
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Synergistic Integration of MEMS and Spintronics for Precision Data Analytics in Cheminformatics
Abstract: The transformational potential of merging spintronics and Micro-Electromechanical Systems (MEMS) technologies in cheminformatics is investigated in this work. Recent advancements in MEMS, particularly through the use of microbeam sensors and accelerometers, enhance the precision of data collection and processing, especially in biomedical applications such as drug delivery systems and chemical sensing. The synchronization of oscillations in MEMS devices leads to improved reliability and data accuracy, enabling the development of sophisticated …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 20–26 Read article
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Evaluation of the Emission and Engine Operability of Biodiesel and Biodiesel Blends Produced from Alkali-Catalyzed Esterification and Transesterification of Jatropha Oil Feedstock
Abstract: This study reports on the engine performance analysis of biodiesel and blends produced from jatropha-based bio-oil feedstock via combined esterification and transesterification process, the physiochemical of the bio-oil, and subsequent biodiesel produced. Jatropha bio-oil was characterized to determine its fuel properties. A liquid phase transesterification reaction at 60 min reaction time, 50°C temperature, using a methanol-oil molar ratio of 40:1 and 0.35 g of sodium hydroxide (NaOH) catalyst was carried …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 9–21 Read article
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Machine Learning Optimization for VARTM Carbon Polymer Laminates
Abstract: Vacuum-assisted resin transfer moulding (VARTM) is a key low-cost, out-of-autoclave process for manufacturing large-scale carbon-fibre reinforced polymer (CFRP) laminates crucial to aerospace wings, wind-turbine blades, marine hulls, and automotive structures. Unpredictable resin flow often leads to voids, dry spots, and race-tracking defects, resulting in 27.9% scrap rates and lengthy, costly trial-and-error design cycles. Although surrogate models provide rapid impregnation predictions for simple flat-plate geometries, vision-based monitoring is limited to idealized …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 229–245 Read article