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1909 articles for “D-M-A-I-C” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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THE THICKNESS EFFECT ON TiO 2 THIN FILMS FABRICATED BY USING SOL- GEL DIP COATING METHOD
Abstract: Titanium dioxide films were prepared by sol-gel dip-coating technique onto glass substrates at room temperature. The study focuses on the structural pattern of TiO 2 films which were dominated by the parameters such as the film thickness, pH, annealing temperature and number of dipping layers. At first the dipping speed is optimized with the refractive index of the film along with the number of dipping layers. Then the film deposited …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 1–10 Read article
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Recording of Leakage-free Surface-Driven Capillary Flow of Dyed Water in the Dual Sudden Contraction Microchannels
Abstract: Dual sudden contractionpolymethylmethacrylate (PMMA) microchannels are fabricated by the maskless lithography, hot embossing lithography, direct bonding technique, and atmospheric pressure air dielectric barrier discharge (DBD) plasma processing. The surface-driven capillary flow of dyed water is faster on the processed PMMA surface than the pristine PMMA surface. The surface-driven capillary flow of dyed water is slower in the wider portion and faster in the narrower portion of any dual sudden contraction …
Published in Emerging Trends in Chemical Engineering · Vol. 4, Issue 2, 2017 · pp. 40–44 Read article
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Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
Abstract: Genomic selection (GS) predicts complex quantitative traits directly from genome-wide molecular markers, bypassing the need for extensive phenotypic trials and accelerating plant breeding cycles. We conducted a comparative evaluation of seven regression approaches — ridge regression (the machine-learning equivalent of RR-BLUP), Lasso, Elastic Net, Partial Least Squares, linear Support Vector Regression, Random Forest, and Gradient Boosting — for predicting grain yield from 1,279 Diversity Array Technology (DArT) molecular markers genotyped …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Comparison of Different Models forthe Remediation of Crude Oil Contaminated Clay and Swampy Soil Environment
Abstract: This research was carried out to compare different mathematical models for the determination of best practice or method for remediation of crude oil contaminated clay and swampy soil environment. The results obtained were utilized to calculate the highest specific rates, the disassociation constant, and the kinetic values in terms of first- and second-order kinetics. The use of the Lineweaver Buck plot was taken into consideration for the different reactors, and …
Published in International Journal of Pollution: Prevention & Control · Vol. 1, Issue 1, 2023 · pp. 1–8 Read article
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Screening of Some Triterpenoids Isolated from Terminalia arjuna as Inhibitors of Angiotensin Converting Enzyme to Prevent Cardiovascular Diseases
Abstract: Natural products have been shown to present interesting biological and pharmacological activities and are used as chemotherapeutic agents. Plants have historically been used in treating cardiovascular diseases (CVD) and are recognized for their ability to produce secondary metabolites. Secondary metabolites obtained from different plants have been the starting material for designing different drugs. Many useful phytoconstituents have been isolated from Terminalia arjuna. Tannins and flavonoids are responsible for its anticancer …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 1, Issue 3, 2014 · pp. 12–19 Read article
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Analysis of White Matter, Gray Matter, and Cerebrospinal Fluid Alterations in Neurological Disorders: A Deep Learning Approach
Abstract: This paper investigates the role of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) alterations in the pathophysiology of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, schizophrenia, and epilepsy. By leveraging advanced deep learning methodologies, we aim to automate the segmentation and analysis of brain structures from MRI scans, enabling a more detailed and precise evaluation of their roles in disease progression. These techniques allow for the identification …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 3, 2024 · pp. 21–27 Read article
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Role of Carbohydrates and Herbal Plants in the Management of Diabetes Mellitus
Abstract: This extensive review explores the intricate relationship between carbohydrates and diabetes mellitus, integrating historical perspectives, biochemical foundations, and modern therapeutic approaches. The article delves into the chemistry of carbohydrates, elucidating their structural diversity and metabolic significance in relation to diabetes pathophysiology. It traces the evolution of diabetes, understanding from ancient civilizations to contemporary molecular insights, highlighting pivotal discoveries such as insulin’s identification. They critically examined various forms of diabetes, including …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 1, 2025 · pp. 34–60 Read article
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Cross-Domain Comparative Analysis of Microwave Imaging Systems for Medical Diagnostics and Industrial Testing
Abstract: Microwave imaging is gaining significant traction as a non-ionizing, low-cost, and portable alternative to conventional diagnostic and inspection modalities in both medical and industrial domains. Leveraging the dielectric contrast between healthy and anomalous tissues or materials, microwave imaging systems enable early-stage detection and characterization of pathological or structural anomalies. This review provides a detailed comparative analysis of microwave imaging systems tailored for three critical applications: breast cancer detection, brain stroke …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 2, 2025 · pp. 39–48 Read article
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Computational Simulations in Drug Discovery: Modeling Protein Folding and Drug Binding
Abstract: Computational simulations have become essential tools in drug discovery, offering unprecedented insights into molecular behavior at the atomic level. These simulations, particularly in the domains of protein folding and drug binding, allow for the exploration of complex biological systems that are often difficult to study experimentally. Protein folding, a critical aspect of drug discovery, involves the transition of a polypeptide chain from an unfolded to a biologically active structure. Understanding …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 23–29 Read article
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Development Of Moisturizing Cream Incorporating From Sunflower
Abstract: The cultivated sunflower, scientifically known as Helianthus annuus annuus L. has a place to the class Helianthus, which has sixty-five species in add up to. This sunflower is local to America and is frequently developed within the Joined together States. As a member of the Asteraceae family, the cultivated sunflower exhibits a characteristic composite flower. The main objective of this study was to develop, formulate, and assess a moisturizing cream …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 10, Issue 3, 2023 · pp. 30–35 Read article
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Nondairy desserts: Potential ingredients for the development of innovative formulations
Abstract: With a growing demand for lactose-free foods, the food industry faces a challenge in identifying new food ingredients to replace equivalent chemical constituents of milk, achieve similar rheological properties, and preserve texture stability and sensory properties in milk-free food preparations. This study aimed to systematize data on potential innovative ingredients for the production of nondairy desserts, with a focus on different types of texturizing agents. Cactus mucilages, cereal and legume …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 11, Issue 3, 2022 · pp. 1–9 Read article
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Report on the Effects of Mole Fraction, Doping Concentration, Gate Length and Nano-Layer Thickness to Control the Device Engineering in the Nanoelectronic AlGaN/GaN HEMTs at 300 K to Enhance the Reputation of the NIT Arunachal Pradesh
Abstract: In this work, we report total 20748 individual simulation-outputs according to the performed simulation-studies on the Nanoelectronic AlGaN/GaN high electron mobility transistors (HEMTs). This series of simulation work has been performed using the SILVACO-ATLAS software tool. In this work, the drain characteristics is investigated with respect to the Aluminium mole fraction, doping concentration, drain voltage, gate voltage, gate length and thickness of the AlGaN nano-layer. The investigation on the effect …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 19, Issue 1, 2017 · pp. 15–47 Read article
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Pharmacoepigenomics of Replication Timing: How Anti- Cancer Drugs Reshape Chromatin Domains and Mutational Landscapes.
Abstract: DNA replication timing serves as a fundamental epigenetic feature that organizes genome function during the cell cycle (3), while anti-cancer drugs profoundly alter this process to disrupt tumor growth(4). These agents target chromatin architecture, shifting replication domains and reshaping mutational patterns critical for cancer evolution (1,5). DNA replication timing (RT) domains serve as dynamic epigenetic organizers, partitioning the genome into early- and late-replicating regions that correlate with chromatin states, gene …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 1, 2026 · pp. 41–50 Read article
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From Differential Equations to Data Science: A Survey on Analytical Methods in Contemporary Problems
Abstract: The integration of differential equations and data science methods represents a dynamic and evolving approach to solving contemporary challenges across a wide range of disciplines, including engineering, physics, biology, economics, and finance. Differential equations have long served as fundamental tools for modeling continuous systems and processes, offering powerful insights into the behavior of natural and man-made phenomena. For example, they describe how heat diffuses through materials, how populations grow in …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Comparative Study of Data Mining Tools
Abstract: Data mining is a process which finds useful patterns from large amount of data for an appropriate application. It is a well-built technology with great potential to help companies whose focus is on important information in huge databases. It uses machine learning, statistical and visualization technique to discover and predict knowledge in a form which is easily understandable to the user. Classification is important technique of data mining which employs …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 2, 2015 · pp. 35–41 Read article
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Design of Coal Mine Safety and Monitoring System Using Sensors and IOT
Abstract: The paper proposes the application of a network of wireless sensors deployed within coal mining safety systems to oversee the operational environment and bolster safety protocols within coal mines. The system consists of master controllers and slave controllers, where the slave controllers detect dangers and send alerts to the master controller through Wi-Fi, enabling quick action to be taken. The system is powered by the NodeMCU microcontroller and includes various …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
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Diabetes Prediction Using ML Techniques
Abstract: Diabetes mellitus, commonly referred to as diabetes, denotes a cluster of prevalent endocrine disorders characterized by persistent elevated levels of blood sugar. Diabetes is classified into two main types: type 1 and type 2. Type 1 diabetes arises when the body is unable to produce insulin, while type 2 diabetes involves either insulin resistance or insufficient insulin production. Early detection and intervention are essential to reduce its harmful impacts. The …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Pharmacological evaluation of Hepatoprotective activity of Indian medicinal plants Cordia Myxa and Canscora diffusa on wistar albino rats
Abstract: Two plants (Cordia myxa and Canscora diffusa), which were claimed to possess hepatoprotective activity, were selected. The Selected plants were authenticated by an expert botanist. In the current study, herbal extraction involving solvents of decreasing polarity (petroleum ether, ethyl acetate, and hydroalcoholic) was used to extract bioactive compounds from the plants of Cordia Myxa and Canscora diffusa in polyherbal preparations. A phytochemical evaluation was performed, including an acute toxicity study …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 1, 2025 · pp. 31–44 Read article
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Voice Recognized D.C. Motor Drive
Abstract: Speed controlling of a DC motor is a very important as DC motor is very useful in many industrial applications. The advancement in solid state devices has made DC motor speed regulation easier and smoother. The variation in speed can be easily obtained by the help of PWM technique where the gate pulse monitors the speed. In recent times voice automated systems are becoming very common in our day to …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 1, 2023 · pp. 29–36 Read article
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Real-Life Demonstration on the Surface-Driven Capillary Flow in Microfluidic Devices
Abstract: AbstractIn this research paper, glass and PMMA are chosen as materials to fabricate the microfluidic devices due to the optical transparency of these materials. The microfluidic devices are fabricated by the maskless lithography (non-contact lithography), hot embossing lithography (contact lithography), indirect bonding technique, and direct bonding technique. The surface-driven capillary flow is recorded corresponding to each microfluidic device by a CMOS camera. The colour-images are compared with the gray-scale-images for …
Published in Trends in Opto-electro & Optical Communication · Vol. 6, Issue 2, 2016 · pp. 8–17 Read article