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Predictive framework to evaluate ternary nanocomposite over surface subjected to novel physical perspective.
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Department of Mathematics, AIR University, Sector E-9, Islamabad, Pakistan.
Fluids possessing advanced thermal capabilities are a requirement of today's world scientific technology and are an inherent vital part of diversified large-scale processes. As a result, the induction of nanometric-sized particles has been considered an emerging approach to achieve advanced liquids. Various combinations have been used to enhance the efficiency of nanofluids in thermal engineering systems.
View Article and Find Full Text PDFLinear attention based spatiotemporal multi graph GCN for traffic flow prediction.
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March 2025
Qingdao University of Science and Technology, Qingdao, 266061, China.
Intelligent Transportation Systems (ITSs) have become pivotal in urban traffic management by utilizing traffic flow prediction, which aids in alleviating congestion and facilitating route planning. This study introduces the Linear Attention Based Spatial-Temporal Multi-Graph Convolutional Neural Network (LASTGCN), a novel deep learning model tailored for traffic flow prediction. LASTGCN incorporates a Multifactor Fusion Unit (MFF-unit) to dynamically integrate meteorological factors, an advanced multi-graph convolutional network for spatial correlations, and the Receptance Weighted Key Value (RWKV) block, which employs a linear attention mechanism for efficient processing of historical traffic data.
View Article and Find Full Text PDFSynthesis of Ag@Pd Nanocubes and Pd-based Nanoframes via One-shot Injection of a Halide-free Precursor for Continuous Production in a Flow Reactor.
Chemistry
March 2025
Georgia Institute of Technology, Biomedical Engineering, 901 Atlantic Drive, MoSE 3100J, 30332, Atlanta, UNITED STATES OF AMERICA.
Noble-metal open nanostructures have remarkable catalytic capabilities toward a wide range of reactions. In particular, Pd-based open nanostructures have been synthesized and validated for superior catalytic performance toward formic acid oxidation. However, most of the syntheses are based on dropwise addition, making it challenging to increase the production volume.
View Article and Find Full Text PDFIdentification of DYRK1b as a novel regulator of small extracellular vesicle release using a high throughput nanoscale flow cytometry screening platform.
Nanoscale
March 2025
Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada.
Extracellular vesicles (EVs) are important mediators of intercellular communication and have various roles in physiological and pathological processes. Discovery of regulators of EV biogenesis and release has led to significant improvements in our understanding of EV biology and has highlighted disease-specific pathways. Large scale discovery studies of EV regulators are limited by conventional methods of EV analysis with limited throughput and sensitivity.
View Article and Find Full Text PDFEnergy advancements and integration strategies in hydrogen and battery storage for renewable energy systems.
iScience
March 2025
Mechanical and Aerospace Engineering Department, College of Engineering, United Arab Emirates University, Al Ain 15551, United Arab Emirates.
The long term and large scale energy storage operations require quick response time and round-trip efficiency, which are not feasible with conventional battery systems. To address this issue while endorsing high energy density, long term storage, and grid adaptability, the hydrogen energy storage (HES) is preferred. This proposed work makes a comprehensive review on HES while synthesizing recent research on energy storage technologies and integration into renewable energy (RE) applications.
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