Results 91 to 100 of about 9,156,471 (236)
3D Semantic Digital Twins: Data Streams and Ontologies for Risk Prediction in Heritage Contexts [PDF]
Sensor data are core for real-time monitoring in heritage contexts, allowing to ground the synchronization between the real asset and its Digital Twin (DT). Such synchronization can then be leveraged to perform risk prediction with a time aware reasoning
M. Codiglione +2 more
doaj +1 more source
Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting
Temporal Knowledge Graph (TKG) forecasting aims to predict future facts based on given histories. Most recent graph-based models excel at capturing structural information within TKGs but lack semantic comprehension abilities. Nowadays, with the surge of LLMs, the LLM-based TKG prediction model has emerged. However, the existing LLM-based model exhibits
Yuwei Xia +5 more
openaire +2 more sources
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi +7 more
wiley +1 more source
Androgenetic alopecia (AGA) is a common form of hair loss with limited treatment options. Silencing of WNT5A signaling, which is widely known as the trigger of the ncWNT signaling pathway, happens in hair follicle stem cells from balding areas. It leads to downregulation of ATF3 and its target FOSB.
Ruiyu Luo +10 more
wiley +1 more source
Combined structure‐function assessment in aortic rings from Marfan mice using MechaMorph Opto‐Biomechatronics technology relates increased elasticity (stiffness) and dynamic viscosity and less ordered extracellular matrix 3D‐structure (collagen) as potential causes for impaired Windkessel function and compromised haemodynamics in Marfan's syndrome ...
Dominik Schneidereit +10 more
wiley +1 more source
Large language models (LLMs) offer great support for the analysis of social media data; however, they often struggle to provide grounded and reli able responses when reasoning over social network structures.
Arber Ceni, Alda Kika
doaj +1 more source
MAPA transforms complex multi‐omics data into biologically coherent functional modules by integrating pathway information with molecular interaction networks. Retrieval‐augmented large language models then generate structured, literature‐informed interpretations.
Yifei Ge +13 more
wiley +1 more source
A Spatio-Temporal Evolutionary Embedding Approach for Geographic Knowledge Graph Question Answering
In recent years, geographic knowledge graphs (GeoKGs) have shown great promise in representing spatio-temporal and event-driven knowledge. However, existing knowledge graph embedding approaches mainly focus on structural patterns and often overlook the ...
Chunju Zhang +7 more
doaj +1 more source
CRIKEY! ― It's co-ordination in temporal planning [PDF]
Temporal planning contains aspects of both planning and scheduling. Many temporal planners assume a loose coupling between these two sub-problems in the form of "blackbox" durative actions, where the state of the world is not known during the action's ...
Halsey, Keith
core
Low‐Power Control Of Resistance Switching Transitions in First‐Order Memristors
Joule losses are a serious concern in modern integrated circuit design. In this regard, minimizing the energy necessary for programming memristors should be handled with care. This manuscript presents an optimal control framework, allowing to derive energy‐efficient programming voltage protocols for resistance switching devices. Following this approach,
Valeriy A. Slipko +3 more
wiley +1 more source

