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313 articles for “Mass”
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Experimental Investigation on Nitrogen Oxides Air Pollutant Reduction Characteristics of Cement Mortar Using Sustainable Photocatalytic Material
Abstract: Emissions of nitrogen oxide (NOx) should be diminished to address the facts of urban air pollution and its health and environmental consequences. This study explores the potential of NOx reduction of photovoltaic pollutants in cement mortar using titanium dioxide (TiO2) as a photovoltaic material. NOx is one of the major pollutants of urban air, related to the problems of smog and acid rain, with serious health hazards. The study focuses …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 26–40 Read article
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A study on IoT and AI for Predictive Modeling and Control of Infectious Disease Transmission
Abstract: Background: The global response to novel and recurring infectious diseases is frequently hindered by surveillance systems that are slow, siloed, and reactive. Traditional epidemiology relies on retrospective analysis of clinical reports, often missing the critical early phase of autocatalytic spread. The urgency of modern public health necessitates a shift toward real-time, predictive intelligence. Methods: This study investigates the development and deployment of a synergistic paradigm integrating the Internet of Things …
Published in International Journal of Pathogens · Vol. 2, Issue 2, 2025 Read article
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Analysis of the Impact of Seabed Earthquakes on Coastal Structures and Foundation Design
Abstract: Earthquakes in the seabed occur with varying magnitudes. Seabed earthquakes cause a rapid rise in water levels, which can lead to flooding and structural damage. Therefore, when designing buildings near the seashore, it is essential to account for the additional load on columns due to water thrust. Earthquakes occurring at the seabed generate intense ground acceleration of varying magnitudes, significantly affecting water levels and inducing destructive flooding along coastal regions. …
Published in Journal of Offshore Structure and Technology · Vol. 12, Issue 3, 2025 · pp. 42–49 Read article
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Comparative Analysis of Serial and Parallel Robot Mechanisms for Industrial Automation
Abstract: Serial and parallel manipulators represent two major mechanical architectures in industrial automation, each with distinct strengths and trade-offs. This study presents a detailed comparative analysis of serial-chain (open-kinematic) robots and parallel-kinematic manipulators (PKMs) with a focus on industrial automation tasks. It covers kinematics, static accuracy and stiffness, dynamics and actuation requirements, control and calibration burdens, workspace and singularity behaviour, and practical industrial considerations (cost, integration, safety, maintenance). Serial robots, exemplified …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 22–26 Read article
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A Study to Evaluate the Effectiveness of Planned Teaching Program on Diabetic Management Regarding Knowledge and Practice Among Patients with Diabetes Mellitus at Selected Taluk Government Hospital, Kollegala
Abstract: Diabetes mellitus is a chronic metabolic disorder with a growing global impact. Effective management of this condition requires not only medical intervention but also comprehensive patient education. This study was conducted to evaluate the effectiveness of different diabetes education methods on improving metabolic control, body mass index (BMI), and blood pressure among diabetic patients. The research aimed to empower individuals with diabetes by enhancing their knowledge and self-management skills. A …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 3, 2025 · pp. 19–28 Read article
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Thermal Stability and Impact Performance of Basalt–Carbon Hybrid Laminates in Polyimide–Phenolic Matrices
Abstract: The impact resistance and thermal stability of the advanced polymer composites are properties that are necessary for the components that are subjected to dynamic conditions, which show the overall reliability and service performance of the laminates applied in automotive structures, protective casings, etc. These properties prevent premature softening or breakdown during long-term exposure to heat. Impact resistance and thermal stability of composite laminates are studied based on fiber orientation and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 247–260 Read article
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Intelligent Brain Tumor Diagnosis with AI-Based Classification* * Harnessing Deep and Machine Learning for Tumor Identification
Abstract: Brain tumors have become a leading cause of cancer- related deaths, posing significant health risks to many patients. This urgent medical challenge calls for rapid, automated, and reliable techniques to detect brain tumors accurately. Timely and precise tumor identification is crucial for devising effective medical plans that have the potential to save lives and improve patient outcomes. By leveraging advanced image processing methods, healthcare professionals can enhance their diagnostic capabilities …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 Read article
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MHD-Assisted Flow Regulation of Viscoelastic Polymer Fluids for Industrial Cooling and Composite Fabrication with Isotherml Plates
Abstract: This study investigates the magnetohydrodynamic (MHD) regulation of viscoelastic polymer fluid flow over a permeable plate, emphasizing its relevance to industrial cooling and composite fabrication. An incompressible, electrically conducting viscoelastic fluid is analyzed under a transverse magnetic field with Hall and ion-slip effects to capture electromagnetic alterations in polymer transport. The governing non-dimensional equations for momentum, temperature, and concentration are solved analytically using the perturbation method. The results show that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 851–866 Read article
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Bio-Derived TPS–Lignin Hybrid Composites Reinforced with Modified Coir and Plantain Fibers for Eco-Efficient Structural Applications
Abstract: This study develops bio-derived polymer composites using a thermoplastic starch–lignin (TPS–lignin) matrix reinforced with alkali-treated coir and plantain fibers for sustainable load-bearing applications. The TPS–lignin matrix was formulated using cassava starch, glycerol, and 10 wt% lignin, while coir and plantain fibers were surface-modified using 5 wt% NaOH to enhance interfacial compatibility. Composite laminates were fabricated with varying fiber loadings (10–40 wt%) through melt-mixing and hot-press compression. Tensile, thermal, morphological, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 136–145 Read article
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Characterization of Bamboo-Fiber Reinforced Geopolymer Composites
Abstract: In this project, we plan to produce and assess a new, eco-friendly composite made from geopolymer (from a combination of fly ash and GGBFS), strengthened with chemically treated bamboo fibres for retrofitting earthquake-resistant buildings. Geopolymer is produced by activating a mixture of fly ash and GGBFS with sodium silicate and sodium hydroxide solutions. We have produced and analyzed bamboo fibre-reinforced geopolymer composites as potential materials for seismic retrofitting of structures …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1007–1025 Read article
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Modernizing Pharmacovigilance: Leveraging AI, Automation, and Real-World Data for Drug Safety
Abstract: Pharmacovigilance, or PV, is “the pharmacological science relating to the detection, assessment, understanding, and prevention of adverse effects, mainly long term and short-term adverse effects of medicines.” PV’s specific objectives are to increase patient care and safety when using medications and all medical and paramedical therapies; assist in evaluating the benefits, drawbacks, efficacy, and risks of medications, ensuring their safe, prudent, and more effective use; and promote clinical training, education, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 12–21 Read article
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Energetic and Exergetic Investigation on Vapor Compression Refrigeration System Using Ag₂O-R134a Nanofluid as Refrigerant
Abstract: This paper experimentally explored energetic and exergetic performance investigation of VCR System using Ag₂O-R134a Nanofluid as Refrigerant. The integration of silver oxide (Ag₂O) nanoparticles within polymer and composite materials offers promising avenues for enhancing the thermal and physical properties of advanced systems. The energetic and exergetic performance study of VCR were investigated with test parameters including compressor power consumption, cooling capacity, coefficient of performance (COP), discharge temperature, irreversibility in the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 279–287 Read article
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Evaluation on Bioremediation Kinetics of Petroleum- Contaminated Soils Using Plant-Based Amendments
Abstract: The effectiveness of bioremediation processes is strongly influenced by environmental conditions, reactor design parameters, microbial characteristics, and pollutant properties. This study investigates the combined effects of environmental-related factors, reactor design considerations, organism- related characteristics, and pollutant properties on the degradation of total petroleum hydrocarbons (TPH) in swampy and clay soils amended. Laboratory-scale remediation experiments were conducted over an 84-day period using amendment dosages ranging from 20 to 100 g. The …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 1, 2026 · pp. 24–30 Read article
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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Stretchable Elastomer–Phase Change Composites for Passive Thermal Management in Wearable Electronics
Abstract: Elastomer-embedded phase change material (EPCM) composites are developed as stretchable, leakage-free, and electrically insulating thermal regulation layers for wearable electronics operating under stringent skin-safety requirements. The EPCM architecture comprises microencapsulated organic phase change materials (μPCM, 30–70 wt%) uniformly dispersed within soft elastomer matrices based on PDMS or SEBS-type thermoplastic elastomers, together with low loadings (1–8 wt%) of electrically insulating hexagonal boron nitride (h-BN) fillers to enhance lateral heat transport. Differential …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 30–41 Read article
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Impact of Hypoxia on Cardiopulmonary Adaptation in Canines: A Comprehensive Review
Abstract: Hypoxia triggers a series of cardiopulmonary responses that play an important role in oxygen delivery and the continuation of physiological activity in mammals. Canines are also a useful translational model of study to examine these adaptive responses because of their anatomical, physiological, and cardiopulmonary differences with humans. This review summarizes the experimental data of acute, subacute and chronic hypoxia in dogs with particular focus on the variations in cardiac functioning, …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 15, Issue 1, 2026 · pp. 13–24 Read article
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Guanidine as a Starting Material for Preparing a Scale Inhibitor
Abstract: Oilfield scale inhibition, which can obstruct fluid flow in pipelines, valves, and pumps during oil production and processing, is critical for preventing scale formation. Effective scale inhibitors (SIs) minimize downtime and enhance productivity by preventing the build-up of insoluble crystals in water systems. In oil processing, scale formation results from the precipitation of salts due to incompatible aqueous phases, leading to equipment blockage. Phosphonates are highly effective chelating agents for …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 15–28 Read article
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Comparative Environmental and Economic Assessment of Wind Turbine Blade Materials
Abstract: Wind energy has proven to be one of the most stable and non-polluting renewable energy sources to mass power production. For energy production wind turbine is an essential part of the wind power plant. The choice of the blade material and coating applied on it has a strong impact on aerodynamic performance, mechanical strength, fatigue life, manufacturing possibility, and environmental effects throughout the operating life of the turbine. Hence, authors …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 91–99 Read article
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Plant Bioactive Metabolites and Their Role in the Prevention and Control of Dental Diseases and Infections.
Abstract: The oral diseases, including dental caries and periodontitis, affect masses worldwide, and have historically been managed with synthetic antimicrobials that cause deleterious side effects, leading to mounting bacterial resistance. Consequently, contemporary dentistry is rapidly shifting toward phytomedicine using plant bioactive molecules, such as polyphenols, terpenes, anthraquinones (berberin, eugenol, curcumin, catechins, allicin, and azadirachtin. These compounds offer potent antimicrobial, anti-inflammatory, and tissue-regenerative properties that are crucial for preventing and curing dental …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 1, 2026 · pp. 47–66 Read article
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Path Lab-AI: An Autonomous Framework for Error-Free Histopathology Slide Interpretation
Abstract: Path Lab-AI represents a fully autonomous platform for the analysis of histopathology slides with circumscribed structures, designed to obtain highly accurate results using diagnostic methods and avoiding the usual limitations of standard microscopy-based pathology. Leveraging recent deep learning and whole slide image (WSI) analysis innovations, our system takes advantage of automated WSI ingestion along with pre-processing steps to account for staining variability, remove artifacts, and localize tissue from background. Such …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 19–30 Read article