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74 articles for “pH gradient”
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Screening of Phytochemicals and Antibacterial Potential of Dicranopteris linearis (Burm.f.) Underw.
Abstract: The present study deals with screening of phytochemical and antibacterial potential of terrestrial fern Dicranopteris linearis (Burm.f.) Underw. collected from Marthandam region of Kanyakumari district of Tamil Nadu, India. The fresh plant material was collected and shade dried for a week and powdered. The powdered material was subjected to gradient extraction with Soxhlet apparatus with two different solvents (acetone and chloroform) and screened for its phytochemical and antibacterial potential. Phytochemical …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 10, Issue 3, 2020 · pp. 1–5 Read article
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Structural and Optical Properties of ZnSe under Pressure
Abstract: AbstractThe structural and optical properties of zinc selenide compound is investigated in zinc blende phases under 0-30 GPa pressure using density functional theory (DFT) calculations with generalized gradient approximation (GGA) embodied in Wien2k code. At zero pressure, lattice constant and bulk modulus are found to be in good agreement with experimental and other theoretical works. Other than zero pressure, there is a reduction in volume of the unit cell according …
Published in Research & Reviews : Journal of Physics · Vol. 5, Issue 1, 2016 · pp. 6–10 Read article
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Development of Multilayer Metallic Coatings with Graded Interfaces for Enhanced Wear and Fatigue Resistance in Aerospace Components
Abstract: This study presents a comprehensive investigation into the development and characterization of multilayer metallic coating systems with compositionally graded interfaces, specifically engineered to enhance wear and fatigue resistance in aerospace structural and rotating components. Four coating architectures were systematically designed: (i) CrN/TiAlN bilayer, (ii) TiN/TiAlN/TiAlSiN gradient trilayer, (iii) CrAlN/AlCrN nanolaminate, and (iv) a novel five-layer CrN–TiN–TiAlN–AlCrN–TiAlSiN functionally graded system (FGS). Coatings were deposited via high-power impulse magnetron sputtering (HiPIMS) and …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 2, 2026 · pp. 50–67 Read article
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A Novel Approach to Fingerprint Authentication Using Histogram Oriented Gradients for Feature Extraction and Machine Learning Convolution Neural Network for Classification
Abstract: With applied biometrics, it is possible to identify a person by examining a feature vector of attributes derived from their physical and behaviour characteristics. In biometrics, fingerprints have become one of the most famous and well known techniques of identification and authentication. In light of technological advancements and safety, fingerprint recognition has been successfully used in a variety of Civil, Defence, and Commercial applications for more than a decade. The …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 1–12 Read article
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Quantitative Determination of Isomeric Components of essential oils by RP-HPLC-PDA in multi-herbal tablets
Abstract: Essential oils are lipophilic and highly volatile secondary plant metabolites, principally mono- and sesquiterpenes. The widespread usage and applications in biopharmaceutics and cosmoceutics of these components drives their quality assessments criteria to be established. Gas chromatography is one of the predominantly used technique for analyzing volatile oils. Although Gas Chromatography employs estimation designs operated at elevated temperatures leading for plausible structural alterations of thermo labile compounds. Hence, a novel gradient …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 11, Issue 3, 2020 · pp. 19–28 Read article
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Evaluation of composite material based on different phases of Face recognition System
Abstract: Composite materials can indeed play a crucial role in various phases of a face recognition system, offering advantages such as lightweight construction, durability, and tailored mechanical properties. Let's explore how composite materials can be utilized in different phases of a face recognition system. A composite material based different phases of Face recognitions System is software that recognizes or verifies a person based on a digital image or a frame from …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 195–204 Read article
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Fluid and Ion Transport in Cement-Based Materials: A Systematic Review
Abstract: The development of fluid and ions in some concrete is occurred according to four basic mechanisms: capillary suction is due to capillary action inside of cement paste, permeation due to on pressure gradients, Diffusion is happened due to concentration gradients, and migration is due to electrical potential gradients. In this paper the transportation processes in concrete are described. Every process has a brief introduction to the physical mechanism by providing …
Published in Recent Trends in Fluid Mechanics · Vol. 10, Issue 1, 2023 · pp. 20–24 Read article
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Thin Film Technology in Sensor Manufacturing – A Technical Discussion
Abstract: Thin‑film technology has become the cornerstone of modern sensor manufacturing, enabling the convergence of miniaturisation, multifunctionality, and cost‑effective mass production. This paper surveys the latest advances in deposition techniques—ranging from magnetron sputtering and chemical vapour deposition to atomic‑layer deposition (ALD) and ink‑jet‑printed sol‑gel processes—and examines how their unique material‑control capabilities translate into performance gains across the sensor spectrum (chemical, physical, and bio‑sensing). By integrating nanoscale thickness control (≤ 10 nm) …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 1, 2026 · pp. 47–57 Read article
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Predicting Dielectric Constants of Polymers Using Molecular Structural Descriptors and Explainable Machine Learning: A Data-Driven Approach
Abstract: Accurate prediction of dielectric constants in polymeric materials is fundamental to the rational design of advanced electronic components, energy storage capacitors, flexible substrates, and high-frequency communication circuits. Conventional approaches to identifying suitable polymer dielectrics rely on extensive experimental synthesis and characterisation, which are both time-consuming and resource-intensive. In this work, an explainable machine learning framework is developed to predict the dielectric constant of polymers directly from molecular structural descriptors derived …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 297–304 Read article
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Atmospheric Boundary Layer Processes: Impacts on Weather Patterns and Climate Change
Abstract: The atmospheric boundary layer (ABL) is a vital component of the Earth's climate system, acting as the interface between the terrestrial surface and the overlying atmosphere. This layer, typically extending from the surface to a height of a few hundred meters, is characterized by strong gradients in meteorological variables such as temperature, humidity, wind speed, and atmospheric pressure. Understanding the dynamics of the ABL is essential for comprehending weather phenomena, …
Published in International Journal of Atmosphere · Vol. 1, Issue 2, 2024 · pp. 22–25 Read article
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Deep Learning for Real-Time Monitoring and Defect Detection in Additive Manufactured Polymer Composites
Abstract: Additives Fiber-reinforced polymer composite ADDs have high utility in making lightweight structural components, but due to process-related defects (interlayer delamination and reinforcement stacking) the integrity of consolidation during extrusion-based deposition is frequently compromised. This paper has presented a physics-informed deep learning framework that is applicable to real-time measurements of reinforced thermoplastic composite fabrication. Multimodal sensing was provided with thermal gradient, optical morphology, and acoustics emission signals being used to assess …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 974–999 Read article
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Thermal Performance of Concentrating Solar Panels
Abstract: The study shows a detailed analysis of the thermal performance of concentrating solar panels and the temperature increase due to concentrated solar radiation. This work proposes a configuration to reduce temperature rise, maintain good panel efficiency, and increase output power. The configuration is based on a sandwich structure including a phase change material (PCM), which absorbs the thermal energy excess generated by the concentrated solar radiation onto the PV panel. …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–10 Read article
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A Research on Thermal Analysis of FSAE Brake Disc
Abstract: Since we all know brakes area unit the foremost vital a part of the vehicles the disc brake is a wheelbrake that slows rotation of the wheel by the friction caused by pushing brake pads against a brakedisc with a set of calipers. Braking system represents one in every of the foremost basic safetyimportant parts in trendy vehicles. Brake absorbs kinetic Energy of the rotating parts (Wheels) andthe energy is …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 8, Issue 1, 2021 · pp. 1–8 Read article
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Brain Tumor Detection
Abstract: The MRI, or magnetic resonance imaging, is one of the most common practices in detecting a brain tumor since it contains important information used to extensively scan the human brain’s internal anatomy. The treatment of any tumor depends entirely on the knowledge and expertise of the physician. This paper reflects the identification of brain tumors using different machine learning algorithms along with the convolution neural network (CNN) and transfer learning. …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 8, Issue 1, 2021 · pp. 45–52 Read article
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An Efficient Method of Fault Analysis using Artificial Neural Network
Abstract: In the power system, there are many techniques to identify and classify the faults. So, it is utmost important to choose the suitable technique. In this paper, a novel technique based on ANN have been proposed. When abnormal conditions occur in the system, the purposed method identifies and classify the fault to protect the system from the faults and stop from the big hazards. Simulation of purposed Simulink model have …
Published in Current Trends in Signal Processing · pp. 9–25 Read article
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An Efficient Method of Fault Analysis using Artificial Neural Network
Abstract: In the power system, there are many techniques to identify and classify the faults. So, it is utmost important to choose the suitable technique. In this paper, a novel technique based on ANN have been proposed. When abnormal conditions occur in the system, the purposed method identifies and classify the fault to protect the system from the faults and stop from the big hazards. Simulation of purposed Simulink model have …
Published in Current Trends in Signal Processing · Vol. 11, Issue 1, 2021 · pp. 9–25 Read article
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Machine Learning Assisted Optimization of Nanoscale MOSFET Parameters Using TCAD Simulation
Abstract: This paper presents a machine learning (ML) assisted framework for the multi-objective optimization of nanoscale bulk n-channel metal-oxide-semiconductor field-effect transistors (nMOSFETs) with a 10 nm physical gate length, high-k HfO₂ gate dielectric, and TiN metal gate. Technology computer-aided design (TCAD) simulations employing drift-diffusion transport, Shockley-Read-Hall recombination, Lombardi mobility degradation, and density- gradient quantum correction models are used to generate a parametric dataset of 2,400 device configurations spanning gate length (L), …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 1, 2026 · pp. 10–19 Read article
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Development and Validation of RP-HPLC Method for Determination of Thermal Degradation Impurity in Macrolide Immunosuppressant Substance and Drug Product
Abstract: The present study describes a simple and stability-indicating reverse phase high-performance liquid chromatography (RP-HPLC) method for the quantification of the thermal degradation impurities of Tacrolimus (FK506) namely Ally ester rearrangement impurity (Impurity R) in Tacrolimus capsules and drug substances. Successful separation of impurity R from Tacrolimus, its other related substances and its tautomers were achieved on a Zorbax XDB C8 (150×4.6 mm, 5 μm) and detector of UV at 210 …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 3, Issue 1, 2016 · pp. 14–19 Read article
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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Experimental Investigation on Thermal Conductivity and Viscosity of Phase Change Material (NaNOᴣ and KNOᴣ) with Different Concentrations of ZnO Polymer Nanofluids for Solar Energy Absorption
Abstract: When evaluating the effectiveness of solar heat absorption methods or solar thermal energy storage systems (TESS), heat transfer fluid is a crucial element. Thermal conductivity and usable heat obtained for any industrial or immediate power plant efficiency are improved by the distinctive refining of Heat Transfer Fluid (HFT). The phase change material used in this study, known as solar salt is a blend of 60% NaNO3 and 40% KNO3. It …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 25–35 Read article