Results 81 to 90 of about 4,242,048 (285)
Magnetically Actuated Microrobot for Drug Delivery: Current Progress and Challenges
Magnetically actuated microrobots are reshaping targeted drug delivery through wireless propulsion, programmable materials, and localized therapeutic release. This review examines how fabrication, body material selection, structural architecture, loading mechanisms, and imaging‐guided control converge to enable microrobotic therapies while identifying ...
Yang Yang, David J. Cappelleri
wiley +1 more source
Forecasting Transient Fuel Consumption Spikes in Ships: A Hybrid DGM-SVR Approach
Accurate prediction of ship fuel consumption is essential for improving energy efficiency, optimizing mission planning, and ensuring operational integrity at sea.
Junhao Chen, Yan Peng
doaj +1 more source
Fuel consumption assessment for speed variation concepts during the cruise phase [PDF]
In recent years, some research studies in Air Traffic Management (ATM) have proposed the idea of adjusting the speed of aircraft for several applications, like for instance, conflict resolution, 4D trajectory management, and airspace capacity and demand ...
Delgado, L., Prats, X.
core
A Perspective on the Applications of Triphasic Gas Storage in Electrochemical Systems
Gas storage in microporous materials positioned locally at an electrode or electrocatalyst surface enhances electrochemical processes. Abstract Microporous materials store gases under dry conditions (e.g., hydrogen or oxygen via physisorption), but in some cases microporous materials also show triphasic (e.g., in a solid|gas|liquid system) gas storage ...
Zhongkai Li +9 more
wiley +1 more source
To significantly reduce fuel consumption and improve fuel economy in hybrid tractor under complex working conditions, an energy—saving strategy based on working condition prediction and Deep Deterministic Policy Gradient and Fuzzy control (DDPG-Fuzzy ...
Shilong Fan +4 more
doaj +1 more source
This study presents a transferable modeling framework for carbon capture using aluminosilicates, integrating Universal Isotherm Modeling with experimental data. It reveals how ultramicropores, alumina content, and amine functionalization influence CO2 adsorption energetics.
Pooja Anil Kumar Nair +4 more
wiley +1 more source
Development of a Predictive System for Car Fuel Consumption Using An Artificial Neural Network
[[abstract]]A predictive system for car fuel consumption using a back-propagation neural network is proposed in this paper. The proposed system is constituted of three parts: information acquisition system, fuel consumption forecasting algorithm and ...
Wu, Jian-Da; Liu, Jun-Ching
core
This study reveals a copper‐driven mechanism of COPD acute exacerbations mediated by the TNF‐α/ATP7A axis. TNF‐α suppresses the copper transporter ATP7A via competitive NF‐κB/CREB1/CBP signaling, resulting in intracellular copper accumulation, mitochondrial oxidative stress, and epithelial barrier disruption.
Xinru Xiao +7 more
wiley +1 more source
Fuel Consumption Prediction Using Bayesian Neural Networks
Transportation is one of the necessities of life. Because humans need transportation to move from one location to another. Transportation requires fuel. On the other hand, fuel consumption is important and must be controlled. This is because fuel can come from both renewable and non-renewable energy sources, depending on the type and process of its ...
Syarifah Diana Permai +3 more
openaire +3 more sources
Focusing on the vertical return mission scenario of reusable launch vehicles, analytical guidance methods commonly adopted in existing research lack effective fuel prediction mechanisms, which severely restricts the mission reliability and fuel economy ...
Jiahao Gan +3 more
doaj +1 more source

