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1406 articles for “PHQ-9 Scale”
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Modulating Immune System of Mosquitoes with A Novel Salicylate Derivative: A Bioinformatics-Based Study
Abstract: The present study aims to compare the interactions of a novel derivative of salicylic acid, 5-(2-nitroethynl) salicylic acid (5-SANA, salicylic acid nitroalkene), and salicylic acid with the critical residues of mosquito’s juvenile hormone binding protein (mJHBP). Given the better water solubility of 5-SANA and salicylic acid, it is believed that they can interact quicker than the natural substrate, juvenile hormone (JH), with the cavity of mJHBP, a circulating protein in …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 1, 2026 · pp. 1–5 Read article
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Enhancing Rhizoremediation of Petroleum Hydrocarbon-Contaminated Soil Using Brachiaria ramosa: A Review of Plant Growth Promotion and Degradation Potential
Abstract: This paper examines rhizoremediation as a sustainable and environmentally acceptable remediation technique in response to the growing problem of petroleum hydrocarbon pollution in soils. Brachiaria ramosa, a tropical grass species that may be useful in contaminated settings, is the main emphasis. A critical analysis of the literature on plant growth-promoting rhizobacteria (PGPR), microbial consortia involved in hydrocarbon breakdown, and rhizosphere-mediated degradation is conducted. There is a thorough discussion of important …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 · pp. 24–41 Read article
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On the Relationship between Equivalent Potential Temperature (theta-e) and Convective Rain over Nigeria and Togo
Abstract: Convective precipitation is a key feature of West Africa's climate, driven by the West African monsoon system. Accurate forecasting of convective storms is challenging but essential for disaster mitigation in the region. This study investigates the ability of using equivalent potential temperature (theta-e) for predicting convective rainfall events in West Africa. Theta-e combines the thermodynamic effects of moisture and temperature to represent total energy available for convection. Daily rainfall and …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 26–43 Read article
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Face Recognition Attendance System Using Local Binary Pattern Histogram Algorithm
Abstract: Maintaining accurate and tamper-proof attendance records in educational and corporate environments has long been a challenge due to the limitations of manual and biometric systems. This study introduces the development and deployment of a contactless, automated attendance system that utilizes facial recognition through the local binary pattern histogram (LBPH) algorithm. The primary goal is to offer a secure and efficient substitute for conventional attendance methods by harnessing the power of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 29–34 Read article
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Variation in Ozone at Night in Barrow, Alaska, during Different seasons, and its Relationship to Methane at Different Pressures
Abstract: The study is focus on the investigation of the night-time seasonal variability of ozone (O₃) at Barrow, Alaska, and also it examines its association with methane (CH₄) concentrations at different pressure levels along with solar flux variations on the basis of eighteen years (2003–2020) of observational data, including ground-based ozone measurements, satellite-derived methane data at 100, 200, 300, 400, and 500 hPa, and solar flux (F10.7) values. For finding the …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 44–53 Read article
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Remote Sensing and Atmospheric Modelling: Data, Processes, Integration and Future Directions
Abstract: Atmospheric modelling plays a central role in weather forecasting, climate projection, and air quality assessment; however, the availability, accuracy, and representativeness of atmospheric observations fundamentally constrain its reliability. Over the past two decades, rapid advances in remote sensing (RS) have transformed atmospheric observation by providing spatially continuous, multiscale measurements of key atmospheric variables, including aerosols, trace gases, clouds, precipitation, and atmospheric thermodynamic profiles. This review synthesises recent progress in integrating …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 54–67 Read article
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Effect of Gamma and Electron Beam Irradiations on Crystalline and Gelatinization Properties of Edible Potato Starch
Abstract: Exposure of food material to radiation causes changes in crystalline (damage of crystal structure / lattice distortion), and gelatinization (digestive)properties. Potato starch (PS) is one of the important globally used food supplement in different forms like chips, curries, cusins etc. During its use the PS is exposed to radiations, altering its molecular structure (due to chain cleavages) and bring changes in structural and physical properties ; sometimes ill – effects …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 113–127 Read article
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AI-Designed Functionally Graded Polymer Composites for Multifunctional Thin Films
Abstract: The design of multifunctional polymer composite thin films requires simultaneous optimization of mechanical, optical, barrier, and thermal properties—objectives often in conflict when using conventional homogeneous materials. This study presents an artificial intelligence-driven framework for designing functionally graded material (FGM) architectures in polymer nanocomposite thin films. We integrated machine learning with physics-based modeling to optimize compositional gradients across film thickness, achieving superior performance compared to homogeneous and discrete multilayer alternatives. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1026–1041 Read article
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Corn Husk Fiber–Reinforced PLA Biocomposites: Mechanical, Thermal, and Biodegradation Performance
Abstract: The increasing environmental burden caused by conventional petroleum-based plastics has driven significant interest in the development of sustainable polymer composites reinforced with renewable natural fibers. In the present work, corn husk fiber (CHF), an agricultural waste by-product, was utilized as a reinforcing phase in a polylactic acid (PLA) matrix to fabricate eco-friendly biocomposites. Composite samples with varying fiber loadings (0–40 wt.%) were produced through twin-screw melt blending followed by compression …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 312–327 Read article
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Sky Scanners: Using satellite remote sensing to figure out what Earth is like
Abstract: Satellite remote sensing has changed the way we look at, study, and learn about the Earth changing systems. Orbiting sensors take data from many different spectral bands, giving us constant, large-scale information about land, oceans, and the atmosphere. This study discusses the fundamental concepts of satellite remote sensing, including the various types of sensors, methods for data acquisition, and techniques for interpreting images. It talks about important uses like monitoring …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 22–33 Read article
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Overheating Prevention System to Improve the Solar Effcicency: Simulation in Logosoft
Abstract: This project aims to improve the efficiency and longevity of solar panels by preventing overheating through an automated cooling system. The system guarantees solar panels operate efficiently, reliably, and sustainably. The proposed system also includes a feedback-based control mechanism that assesses temperature changes on an ongoing basis to enhance cooling cycles and reduce superfluous water consumption. Using LOGO!Soft Comfort software for simulation, the system integrates a temperature sensor to monitor …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 Read article
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AI-Enabled Optimization of Additively Manufactured Composite Materials for Enhanced Mechanical and Thermal Performance
Abstract: This paper discusses the optimization of multi-objective optimization of enhanced coupling of heat and mechanical properties of 3D printed polymer composite materials by artificial intelligence (AI), as a component of a multi-objective optimization framework. It aims at development of nonlinear printing parameters and material properties relationships to achieve maximum tensile strength and thermal conductivity in polymer composites produced through fused deposition modeling (FDM). Short carbon fiber reinforcement was used to …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 867–891 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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Explainable Machine Learning for Process Parameter Optimization in Gradient 3D-Printed Polymer Composites
Abstract: The explainable machine learning-based structure may be employed to achieve a favorable process parameter of the graduate 3D-printed polymer composite structures to improve the mechanical and thermal properties without compromising the transparency of the decisions made during the fabrication process. Gradient composite specimens were made by systematically varied process parameters like nozzle temperature, raster orientation, deposition speed, gradient transition rate and fused filament fabrication. A predictive model of tensile strength …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 847–866 Read article
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An Overview Mechatronics Systems Design of Modelica-Based Model Predictive Control Strategies for CO₂ Heat Pump Systems
Abstract: The growing adoption of renewable energy technologies poses challenges to energy supply stability, necessitating increased flexibility in energy demand. This paper introduces a Modelica-based Model Predictive Control (MPC) strategy aimed at keeping the supply water temperature within the range of 55°C to 75°C while minimizing energy consumption and electricity expenses throughout a year. A comprehensive, high-fidelity model representing a school building in Oslo, Norway, was developed using Modelica and exported …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 15–27 Read article
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Enhancement of Mechanical Properties in Eutectic Al-Si Alloy Matrix Composites Reinforced with Kyanite and Graphite via Stir Casting
Abstract: The purpose of this work is to enhance the mechanical performance of a eutectic Al–Si alloy by incorporating hard ceramic (kyanite) and soft solid lubricant (graphite) reinforcements using a liquid-state stir casting route. Metal matrix composites were fabricated with kyanite contents of 2, 4, and 6 wt.% and a constant 2.5 wt.% graphite. Their microstructures and mechanical properties were systematically evaluated. The microstructure was examined using optical microscopy and energy …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 90–100 Read article
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Development and Performance Evaluation of Polymer-Modified Geopolymer Composites Incorporating GGBS
Abstract: This research investigates the development and performance of geopolymer-based composite materials formulated using Ground Granulated Blast Furnace Slag (GGBS) as a reactive mineral component within an aluminosilicate polymer matrix. The study aims to create an eco-efficient and structurally sound inorganic polymer composite comparable to M35-grade concrete, produced entirely under ambient curing conditions. A series of mixes with varying GGBS replacement ratios (0–100%) was prepared, maintaining a constant binder content of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1145–1165 Read article
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Comparison of Recovery Profile for Total Intravenous Anaesthesia (TIVA) Using Propofol And Remifentanil in Laparoscopic Surgeries
Abstract: Total Intravenous Anaesthesia (TIVA) has become an increasingly preferred technique in modern anaesthetic practice due to advantages such as reduced postoperative nausea and vomiting (PONV), improved hemodynamic stability, minimal environmental impact, and faster recovery compared to conventional inhalational anesthesia. Propofol in combination with remifentanil is widely used for TIVA because of its rapid onset and offset of action, which supports quick postoperative awakening and enhanced patient satisfaction. Target Controlled Infusion …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 · pp. 39–50 Read article
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Formulation and Evaluation of a Natural Excipients-Based Diclofenac Sodium Topical Ointment
Abstract: The present study reports the formulation and evaluation of a diclofenac sodium topical ointment incorporating natural excipients to improve skin compatibility and formulation sustainability. Conventional topical non-steroidal anti-inflammatory drug (NSAID) formulations frequently rely on synthetic excipients that may cause dermal irritation and pose environmental concerns. To address these limitations, a 1% w/w diclofenac sodium ointment was developed using aloe vera gel, glycerin, xanthan gum, peppermint oil, vitamin E, and isopropyl …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 2, 2026 Read article
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Environmental Impact Assessment of Ocean Energy Converters Using Quantum Machine Learning
Abstract: The accelerating deployment of ocean energy converters (OECs) across tidal, wave, osmotic, and thermal domains necessitates rigorous, data-intensive environmental impact assessment (EIA) frameworks capable of modelling multi-stressor marine ecosystems in real time. Classical machine learning approaches, while operationally mature, encounter scalability bottlenecks and feature correlation limitations when applied to the high-dimensional, non-linear datasets characteristic of offshore monitoring networks. This paper presents a comprehensive quantum machine learning (QML) framework for the …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 1, 2026 · pp. 22–31 Read article