Search
1933 articles for “ITS-AC” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Valeriana Jatamansi in Ailment of Various Diseases: A Review
Abstract: V. wallichii, often known as Valeriana jatamansi, is a significant medicinal herb. The word ‘Valerian’, which is derived from the word ‘Velo’ means ‘strong drug’, was originally used by an Indian doctor in the ninth century. This review focus on their geographical characterization, botanical characterization, traditional uses, and their mechanism of action on various bioactivity. This review discusses the major bioactive constituents and their 2D and 3D structures. V. jatamansi …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 3, 2024 · pp. 1–13 Read article
-
Accelerate Drug Development with Pharmacokinetic Softwares
Abstract: During continuously evolving technologies and mechanized equipments, there has been a tremendous growth in the pharmaceutical sector over the past few decades. New technologies, software, devices, and techniques are being developed or researched upon with each passing day. By leveraging pharmacokinetic software, researchers can efficiently analyze vast datasets from preclinical and clinical studies, extracting actionable insights that inform decision-making early in the development cycle. This predictive capability not only accelerates …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article
-
Use of Artificial Intelligence to Access and Ensure Safe Drinking Water Supply: A Review
Abstract: Ensuring access to safe drinking water is a critical public health challenge. Traditional water quality assessment methods are often labor-intensive and time-consuming. Artificial intelligence offers a promising alternative, providing rapid, accurate, and scalable solutions for monitoring and predicting water quality. This systematic review examines the application of AI. The review highlights various AI models, including artificial neural networks, support vector machines, decision trees, and ensemble methods, in predicting water quality …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 21–28 Read article
-
Terraform: Accelerating Infrastructure Deployment Through Infrastructsure as Code
Abstract: This paper provides an in-depth analysis of Terraform; an open-source Infrastructure as Code (IaC) tool developed by HashiCorp. It explores how Terraform transforms the way infrastructure is built, managed, and maintained across different cloud platforms and on-premises systems. Through a detailed analysis of its features, workflow, and real-world applications, we demonstrate how Terraform significantly enhances operational efficiency, reduces deployment times, and ensures consistency in infrastructure management. The paper includes code …
Published in Journal of Open Source Developments · Vol. 11, Issue 3, 2024 · pp. 7–15 Read article
-
Synthesis of Magnetically Recoverable Nickel (II) Complex-Functionalized Fe3O4@ISNA (ISNA= Isonicotinic acid) Nanomaterials: Catalytic Studies on Nitrophenol Reduction and TD- DFT Studies
Abstract: In this study, we aimed to develop a novel, environmentally sustainable, and magnetically separable heterogeneous nanocatalyst, denoted as Fe3O4@ISNA@NiL (where L represents the ligand). The synthesis involved a two-step process, first, isonicotinic acid was chemically grafted onto the surface of iron oxide nanoparticles (Fe3O4) to introduce functional groups capable of further chemical modification. Subsequently, a nickel(II) Schiff base monomeric complex was anchored onto the modified surface, resulting in a nanocatalyst …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 88–96 Read article
-
Emerging Trends in Drones across Multiple Sectors
Abstract: Drones, also known as unmanned aerial vehicles (UAVs), have become increasingly popular for their adaptability, affordability, and advanced functionalities. Originally developed for military purposes, they are now widely utilized across diverse sectors such as agriculture, filmmaking, and search and rescue missions. The impact of drones has been significant in various domains, such as reducing human casualties, providing more accurate information, increasing efficiency and cost reduction, and improving crop yields. Nonetheless, …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 2, 2024 · pp. 29–35 Read article
-
Synthesis of Magnetically Recoverable Nickel (II) Complex-Functionalized Fe 3 O 4 @ISNA (ISNA= Isonicotinic acid) Nanomaterials: Catalytic Studies on Nitrophenol Reduction and TD- DFT Studies
Abstract: In this study, we aimed to develop a novel, environmentally sustainable, and magnetically separable heterogeneous nanocatalyst, denoted as Fe 3 O 4 @ISNA@NiL (where L represents the ligand). The synthesis involved a two-step process, first, isonicotinic acid was chemically grafted onto the surface of iron oxide nanoparticles (Fe 3 O 4 ) to introduce functional groups capable of further chemical modification. Subsequently, a nickel(II) Schiff base monomeric complex was anchored …
Published in Journal of Polymer & Composites Read article
-
Enhancing Ship Roll Stabilization: Design of Active Fin Stabilizers Using Auto-Tuned PID Controllers
Abstract: The rolling motion of any type of mechanical system can be realized by the linear differential equation with some constant coefficient. In the domain of marine industries, it is observed that the stabilization of the ship’s roll motion is required due to the occurrence of the most unwanted water wave disturbances at the sea. It may cause serious types of damage to the equipment related to the ship. Active fin …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 3, 2024 · pp. 18–31 Read article
-
AI-Powered Fire Detection System for Accurate and Timely Emergency Response
Abstract: AI-based fire detection system leverages deep learning and Open CV. Issues with conventional fire detection techniques include false alarms and expense. The proposed system uses deep learning for real-time fire detection in videos, enhancing accuracy and adaptability. OpenCV aids in crowd counting, improving situational awareness during emergencies. This innovation promises to revolutionize fire safety by offering timely and precise detection, potentially saving lives and property. Additionally, by counting crowds, the …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 30–36 Read article
-
Synthesis and Study of Photoluminescence properties of Sm3+ activated 7TiO2 + 3Al2O3 + (60-x)B2 O3 +xY+ 5LiCO3 +25SrCO3 Borate Glass for SSL Applications
Abstract: Melt quenching was used to successfully create the raddish orange light-emitting Sm3+activated 7TiO2 + 3Al2O3+ (60-x) B2O3+xY+ 5LiCO3+25SrCO3 (X=0.001, 0.002, 0.005, 0.01 and 0.02, Y=Sm3+) borate glass. XRD examination confirmed the phase of the prepared Un-doped and Doped 7TiO2 + 3Al2O3+ (60-x) B2O3+xY+ 5LiCO3+25SrCO3 glass. Its PL characteristics under ultraviolet (UV) light (302-468 nm) were later studied. At 602 nm, the excitation was detected, and at 402 nm, the emission. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 55–60 Read article
-
Nutraceuticals as Adjunctive Treatment in Cancer Exploring Efficacy and Mechanism of Action
Abstract: Dietary habits are a critical factor in cancer prevention, with plant-based diets rich in vegetables and fruits associated with reduced cancer risk. Nutraceuticals—bioactive compounds derived from food and supplements—have gained attention for their potential in cancer prevention and therapy. Phytochemicals such as flavonoids, polyphenols, and alkaloids exhibit anti-cancer properties through mechanisms including antioxidant activity, anti-inflammatory effects, inhibition of tumor growth, and induction of apoptosis. Key nutraceuticals include alkaloids (e.g., caffeine, …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 1, 2025 · pp. 35–45 Read article
-
Comparison of High and Low Temperature Properties of Dual Modified Asphalt Binders with Polyphosphoric Acid and Polymer Modified Bitumen using Rheological Tests
Abstract: The main objective of this study was to investigate the properties of asphalt binder mixtures at both high and low temperatures. To achieve this, two types of admixtures were selected and combined, resulting in a technology known as dual modified asphalt binders. Extreme temperatures during summer and winter can lead to significant issues such as cracking and rutting in asphalt binder pavement. In order to address these problems, a comprehensive …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 23–34 Read article
-
Comparative Experimental Investigation of Infill Pattern and Infill Density on Fused Deposition Modeling (FDM) Process Characteristics of Polylactic Acid (PLA)
Abstract: Additive manufacturing is the potential and emerging technology widely being used to produce quality products with complicated profiles and customized features. Fused Deposition Modelling (FDM) process, a type of additive manufacturing technology using filament made of thermoplastic which is melted and subsequently extruded through nozzle. The main input process parameters of FDM are wall thickness, infill density, layer height, bed temperature, layer thickness, infill pattern, nozzle temperature etc. In this …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 335–345 Read article
-
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
-
Assay of the Antitrypanosomal Activity of Ziingiber Officinale Extract in Wister Rats
Abstract: This research investigated the antitrypanosomal effects of Zingiber officinale in rats infected with Trypanosoma brucei brucei. Twelve adult rats, 7 weeks old and of both sexes, were randomly divided into six groups (1 through 6), with each group consisting of two rats. All six groups (1–6) were intraperitoneally injected with 0.1 ml of blood containing 10⁶ Trypanosomes/ml. Groups 1–4 received daily intraperitoneal doses of the plant extract at concentrations of …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 1, 2025 · pp. 32–37 Read article
-
A Strategy of Nano-Calcite Fillers for Enhancing the Mechanical and Thermal Properties of Polypropylene Polymers
Abstract: Particulate polymer composites have gained popularity because of their many uses. For some, using high loadings to achieve desired attributes without compromising the material's mechanical properties or restricting its processability is desirable. It is possible to use surface active agents to improve characteristics and increase solid loading. Interface characteristics in highly packed particulate composites based on nano-calcite (nano-calcium carbonate) and polypropylene as a binder are the focus of the current …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 1, 2025 · pp. 20–29 Read article
-
Determination of Effect of Temperature on Bacteria and Fungi (Salt and Fresh Water)
Abstract: This study investigates the effect of temperature on bacterial and fungal activity in fresh and saltwater environments contaminated with crude oil. Utilizing standard characterization techniques, pure cultures of bacteria and fungi were isolated and identified. A bioreactor setup was employed to assess microbial growth and heat generation at varying temperatures (15°C to 120°C) over a 6-hour period. The results demonstrated that temperature significantly influences microbial activity, with bacterial growth rates …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 01–08 Read article
-
Accelerating Innovation: Design, Development, and Manufacturing of Artificial Intelligence- Enhanced Smart Electric Vehicles
Abstract: This research paper delves into the dynamic landscape of automotive engineering, focusing on the accelerated innovation facilitated by the integration of artificial intelligence (AI) in the design, development, and manufacturing processes of smart electric vehicles (SEVs). With sustainability and efficiency at the forefront of contemporary transportation initiatives, SEVs stand as a beacon of technological advancement, offering a paradigm shift towards eco-friendly mobility solutions. By harnessing the power of AI algorithms, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 1, 2025 · pp. 9–25 Read article
-
Assessing the Integration of Information Technology Across Key Areas and Functions in Quantity Surveying Professional Practice
Abstract: Information Technology (IT) has had an immeasurable impact on business systems and processes, in all spheres of the economy including construction. The study assesses the integration of technology within the construction sector by Quantity Surveying professionals in Nigeria. This is against the backdrop that the integration of technology into the practice of Quantity Surveying has had a profound effect on the profession in Nigeria and globally. Technological revolution has fundamentally …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 1, 2025 · pp. 1–10 Read article
-
Optimizing Sampling Techniques Using Fuzzy Set Theory: A Comprehensive Approach
Abstract: Sampling is a critical process in statistics, used to estimate population parameters without needing to examine the entire population. Traditional sampling methods, such as simple random sampling, stratified sampling, and cluster sampling, face limitations when applied to complex or heterogeneous populations with imprecise boundaries. These methods often fail to accurately represent populations with overlapping characteristics or missing data, resulting in sampling bias and reduced accuracy. To address these challenges, this …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 29–43 Read article