Results 51 to 60 of about 33,386 (268)
Um dos problemas encontrados na área de Engenharia Elétrica é o problema de despacho econômico (PDE), que visa reduzir o custo total da energia calculando a geração de cada unidade vinculada à rede.
João Vitor Dias +2 more
doaj +1 more source
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho +4 more
wiley +1 more source
Prospective study on value of 31P magnetic resonance spectroscopic imaging in evaluating efficacy of hepatic arterial infusion chemotherapy for advanced-stage hepatocellular carcinoma [PDF]
Objective This study aims to investigate the value of 31P magnetic resonance spectroscopy imaging (31P MRSI) in evaluating the therapeutic efficacy of the first cycle of hepatic arterial infusion chemotherapy (HAIC) for patients with hepatocellular ...
LI Jingzhe, LIN Huimin, WU Xinyu, DENG Rong, LIU Peng, YANG Yuchen, YAN Fuhua
doaj +1 more source
Overview of PDEs and Their Regulation [PDF]
Contraction and relaxation of vascular smooth muscle and cardiac myocytes are key physiological events in the cardiovascular system. These events are regulated by second messengers, cAMP and cGMP, in response to extracellular stimulants. The strength of signal transduction is controlled by intracellular cyclic nucleotide concentrations, which are ...
Kenji, Omori, Jun, Kotera
openaire +2 more sources
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Toward Intelligent Multimodal Holography for Real‐Time Chemical Imaging of Dynamic Ion Separation
Intelligent multimodal holography integrates digital off‐axis holography, spectroscopic imaging, and AI‐driven reconstruction to visualize ion transport and chemical dynamics in real time. In this perspective paper, we outline how this approach enables label‐free, chemically specific monitoring of complex environments and discuss its potential to ...
Giovanna Ricchiuti +3 more
wiley +1 more source
Surface Binding Energy Landscapes Affect Phosphodiesterase Isoform-Specific Inhibitor Selectivity
As human phosphodiesterase (PDE) proteins are attractive drug targets, a large number of selective PDE inhibitors have been developed. However, since the catalytic sites of PDE isoforms are conserved in sequence and structure, it remains unclear how ...
Qing Liu, Andreas Herrmann, Qiang Huang
doaj +1 more source
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia +2 more
wiley +1 more source
Solving mathematical equations faster and more efficiently has been a Holy Grail for centuries for scientists and engineers across all disciplines. While electronic digital circuits have revolutionized equation solving in recent decades, it has become ...
Ye Jiachi +12 more
doaj +1 more source
This paper proposes a novel control framework to ensure safety of a robotic swarm. A feedback optimization controller is capable of driving the swarm toward a target density while keeping risk‐zone exposure below a safety threshold. Theory and experiments show how safety is more effectively achieved for sparsely connected swarms.
Longchen Niu, Gennaro Notomista
wiley +1 more source

