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880 articles for “EUMETSAT's Meteosat-9 satellite”
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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
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Polymer-Coated Composite Granules of Clarithromycin: Design, Characterization, and Functional Evaluation for Taste Masking and Antibacterial Performance
Abstract: Background: Masking the unpleasant taste of clarithromycin is essential to improve patient adherence, especially among pediatric and elderly groups. However, enhancing palatability while maintaining its antibacterial effectiveness remains a significant formulation challenge. This study focused on developing polymer-coated clarithromycin granules (B1–B10) using novel non-sugar-based polymers and assessing their antibacterial activity against Staphylococcus aureus Methods: Clarithromycin granules were produced using a fluidized bed coating technique with non-saccharide polymers, specifically Eudragit E-100 …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1042–1050 Read article
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Water Chestnut Stem-Derived Biochar Supported AgNPs/AC-CTS-PVA Composite Gel for Wastewater Treatment and Potent Antibacterial Performance
Abstract: In the present study, green and efficient Ag-NPs functionalized activated carbon/chitosan-polyvinyl alcohol (AgNPs/AC-CTS-PVA) composite gel was successfully synthesized using water chestnut stem-derived biochar for wastewater treatment and antibacterial applications. The composite was characterized by FTIR, XRD, SEM-EDX, and TGA analyses, confirming the successful incorporation of crystalline Ag nanoparticles within the polymeric matrix and improved thermal stability. The material was tested regarding the removal of the dye of methylene blue (MB) …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1129–1144 Read article
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Statistical Modeling for Weld Quality Assessment using AI SAW Welding of Mild Steel
Abstract: The main issue to the industries that apply Submerged Arc Welding (SAW) is quality assurance since the structural integrity dictates safety and the performance of the industry. The existing system of checking manuals is not only time consuming but also has human errors that make it mandatory to deploy automated intelligent systems. This study carries out an extensive comparison of the leading approaches based on the use of Artificial Intelligence …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 892–907 Read article
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Consumer Awareness and Adoption Barriers of E-Pharmacy Services in Delhi/NCR: A Mixed-Methods Investigation
Abstract: Background: The rapid digitization of India's pharmaceutical market has positioned e-pharmacies as a transformative force; yet, consumer adoption remains significantly low despite growing awareness. Objectives: This study investigates consumer awareness levels, purchasing behaviors, trust perceptions, and adoption barriers regarding e-pharmacy services among urban Indian consumers. Methods: A sequential explanatory mixed-methods design was employed. Quantitative data were gathered via a structured questionnaire administered to 65 respondents in Delhi. Qualitative insights were …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 Read article
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Synthesis of Glass Fiber Reinforced Polymer Composites Incorporating MWCNTS and Graphene: A Study on Dynamic Mechanical Behavior and Cole–Cole Representation
Abstract: Glass fiber reinforced polymer (GFRP) composites were fabricated using multi-walled carbon nanotubes (MWCNTs) and graphene as nanofillers through the hand lay-up technique. Two sets of composites were prepared by incorporating MWCNTs and graphene separately into the epoxy resin matrix at varying weight percentages (2%, 4%, 6%, 8%, and 10%). Mechanical and viscoelastic properties were evaluated following ASTM standards, and Dynamic Mechanical Analysis (DMA) was performed to study their mechanical and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1411–1403 Read article
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The Weight of The Flock: Narratives of Young Men who were Childhood Herders in Lesotho
Abstract: Herding in Lesotho is associated with social isolation for extended periods, risk of assault by animal thieves, and risk of being attacked for suspected animal theft. Regardless, herding in Lesotho is mostly assigned to boys. The objective of this study was therefore to examine herding experiences of childhood herders in Thaba Tseka Lesotho. The study employed snowball sampling to recruit 14 childhood herders who were young adults (18-35 years old) …
Published in International Journal of Children · Vol. 3, Issue 1, 2026 · pp. 29–42 Read article
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Brain And Gesture Controlled Assistive System For Physically Challenged Individuals
Abstract: Assistive communication technologies are essential for improving the independence of individuals with physical and sensory disabilities. This paper presents the design and implementation of a multimodal assistive system that integrates brain signal acquisition and gesture recognition for real- time communication. The system utilizes an Electroencephalography (EEG) sensor to capture neural activity and a PAJ7620 gesture sensor along with an ADXL335 accelerometer to detect hand movements. The acquired signals are processed …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 1, 2026 Read article
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Bioscouring And Anionization of Waste Cotton Fabric for Efficient Removal of Malachite Green Dye
Abstract: Adsorption is an efficient method for dye removal but the high cost of adsorbents limits its use, emphasizing the need for sustainable, low-cost alternatives. This study explores the usage of modified cotton fabric for the treatment of malachite green (cationic dye) from wastewater. Cellulase extracted from Raphanus sativus and Daucus carota were evaluated for bioscouring potential which was confirmed by scanning electron microscopy. Further, cotton fabric was chemically modified using …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 53–68 Read article
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Unveiling Bihar's Atmospheric Crisis: A Synoptic Review of PM 2.5 Dynamics, Source Attribution, and Airshed Vulnerabilities in the Eastern Indo-Gangetic Plain (Bihar)
Abstract: Bihar, situated in the pollution-trapping Indo-Gangetic Plain (IGP), faces a severe air pollution crisis characterized by annual PM2.5 concentrations of 80–100 μg m-3 exceeding WHO guidelines (5 μg m-3) and Indian NAAQS (40 μg m-3) by 4–6-fold. This review synthesizes data from CPCB/BSPCB monitoring, MODIS satellite retrievals, and peer-reviewed studies (2000–2025) to assess ambient air quality, sources, health impacts, policies, and research gaps in the state. PM2.5 and PM10 dominate, …
Published in International Journal of Pollution: Prevention & Control · Vol. 4, Issue 1, 2026 · pp. 1–10 Read article
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A Knowledge Graph Approach for Breast Cancer Diagnosis and Data Sharing Platform Implementation in the Context of Human Papillomavirus Infection
Abstract: Background: Breast cancer remains among the most prevalent malignancies in women worldwide, and effective diagnosis and data integration continue to challenge clinical practice. Diagnostic reports from mammography and ultrasound contain rich clinical information that is often under-utilised due to heterogeneous formats and limited data-sharing infrastructure. In the context of human papillomavirus (HPV) infection, which may influence oncogenic pathways and data complexity, advanced computational methods offer new solutions to this problem. …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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CIPHER Intelligence: AI-Powered Global Military Expenditure Analysis and Predictive Modeling
Abstract: Military expenditure analysis has emerged as a critical component of economic and geopolitical intelligence in the modern era. This paper presents CIPHER Intelligence, a comprehensive AI-powered platform for analyzing and predicting global military spending patterns across 211 countries spanning54 years (1970-2024). We employ advanced machine learning techniques, particularly Random Forest regression models, to achieve 99.5% prediction accuracy for military expenditure forecasting based on economic indicators. The platform integrates data from …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 Read article
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Effect of Thermal Conditions on Microstructure and Mechanical Properties of AA5083 Processed by Equal Channel Angular Pressing
Abstract: A commercial AA5083 with an initial grain size of 210 μm was given an ultrafine-grained structure using the equal channel angular pressing (ECAP) technique under die design as patented. The identical sample underwent two successful passes through the die at 473 K, with each passage causing the sample to rotate 90° along its own longitudinal axis. After just one pressing, the microstructure was comparatively homogeneous. It was made up of …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 1, 2026 · pp. 49–64 Read article
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Advancements in AI-Driven Sound Spectrogram Analysis: From Deep Learning to Quantum and Neuromorphic Processing
Abstract: The rapid advancement of artificial intelligence (AI) has significantly reshaped the field of audio signal processing, with sound spectrogram analysis emerging as a central research focus. Spectrograms provide a rich time–frequency representation of audio signals, making them particularly suitable for data-driven learning approaches. This paper presents an in-depth and original review of modern AI-based techniques applied to spectrogram analysis, highlighting their growing impact across critical application areas such as healthcare …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article
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A Reviewed Study On Cpu-Optimized Parameter-Efficient Fine- Tuning For Large Language Models To Increase Accuracy Using Lora
Abstract: The fast proliferation of Large Language Models (LLMs) has increased the need to optimize the process of fine-tuning but the existing workflows that require a GPU are still expensive, intensive, and unavailable to most researchers. This paper is driven by the desire to have a more cost-efficient and democratized version by examining a CPU-efficient implementation of Parameter-Efficient Fine-Tuning (PEFT) based on Low-Rank Adaptation (LoRA). The major purpose of the study …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 Read article
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Design and Performance Analysis of Microwave Filters and Resonators for High-Frequency Systems
Abstract: Microwave filters and resonators are fundamental components in high-frequency systems, playing a crucial role in signal selection, interference suppression, and frequency stabilization. This review presents a detailed analysis of design methodologies and performance characteristics of microwave filters and resonators used in modern communication and radar applications. Various filter topologies, including low-pass, high- pass, band-pass, and band-stop configurations, are examined with respect to their frequency response, insertion loss, selectivity, and bandwidth. …
Published in Journal of Microwave Engineering and Technologies · Vol. 13, Issue 1, 2026 · pp. 8–16 Read article
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Potential, Principles, and Applications of Microwave Energy
Abstract: Microwave energy 300 MHz to 300 GHz electromagnetic radiation is essential to modern science and technology. Its applications include telecommunications, medicine, industrial processing, and renewable energy, despite its association with kitchen appliances. Microwave energy generation, transmission, and material interaction are covered in this article. It emphasises wireless communication, radar, medical therapies, and microwave- assisted chemical processes. The study also examines new developments in microwave engineering, such as the creation of …
Published in Journal of Microwave Engineering and Technologies · Vol. 13, Issue 1, 2026 · pp. 34–39 Read article
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Vitamin D Mitigates Inflammation and Downregulates Importin α3 in Non-Alcoholic Fatty Liver Disease (NAFLD)
Abstract: Background: Pro-inflammatory cytokines, such as TNF-α, IL-1β, IL-6, and IL-8, seem to play a crucial role in the progression of NAFLD as they activate the transcription factor NF-кB. The activated NF-кBp50/RelA subunits are translocated to the nucleus by Importin α3 and Importin α4. Numerous studies have indicated a negative association between NAFLD and vitamin D levels. Low vitamin D levels have been correlated with histological severity, necro-inflammation, and fibrosis in …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 1–16 Read article