Results 41 to 50 of about 2,341,542 (226)
Spatiotemporal Multi‐Omic Mapping Reveals Liver‐Muscle Metabolic Crosstalk in Cancer Cachexia
The interactive CCAtlas platform delineates cross‐species, spatiotemporal, and sex‐specific molecular dynamics and metabolic rewiring across organs during cancer cachexia. Hepatic Gamt downregulation curtails hepatic creatine synthesis to trigger systemic creatine insufficiency and consequent skeletal muscle atrophy in LLC tumour‐bearing mice ...
Zihan Tian +12 more
wiley +1 more source
A geographic knowledge integrated computation framework based on grid graph modelling [PDF]
Managing dynamic geographic knowledge effectively is hindered by fragmented tools lacking holistic integration, particularly when handling the heterogeneous and evolving nature of real world spatio-temporal data.
B. Han, B. Han, T. Qu
doaj +1 more source
Highly Sessional Aggressive Behaviors Link to Temporal Dynamics Shared Across Space
Aggressive behaviors are violent actions or disputes that one individual effectuates over another in which physical harm might happen and occurs in a social environment.
Jorge Victorino +7 more
doaj +1 more source
Pathological tissue rigidity mechanoprimes microglia by enhancing actin cytoskeleton–nucleus coupling and chromatin opening at rigidity‐responsive cis‐regulatory elements (mechanoCREs). Subsequent NF‐κB/p65 signaling converges on this permissive regulatory state to amplify inflammatory gene expression and microglial activation.
Yu Xuan Meng +15 more
wiley +1 more source
Adaptive management of multigranular spatio-temporal object attributes [PDF]
In applications involving spatio-temporal modelling, granularities of data may have to adapt according to the evolving semantics and significance of data. To address such a problem, in this paper we define ST2 ODMGe, a multigranular spatio-temporal model
Camossi, Elena +3 more
core
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source
Riemannian Spatio-Temporal Features of Locomotion for Individual Recognition
Individual recognition based on skeletal sequence is a challenging computer vision task with multiple important applications, such as public security, human–computer interaction, and surveillance. However, much of the existing work usually fails to
Jianhai Zhang +4 more
doaj +1 more source
A comprehensive dataset for the resources and technologies in a present-day energy system is presented. These data were used as the model input data for spatio-temporal value chain optimisation studies for the Great Britain energy system.
Christopher J. Quarton, Sheila Samsatli
doaj +1 more source
An Efficient Probabilistic Algorithm to Detect Periodic Patterns in Spatio-Temporal Datasets
Deriving insight from data is a challenging task for researchers and practitioners, especially when working on spatio-temporal domains. If pattern searching is involved, the complications introduced by temporal data dimensions create additional obstacles,
Claudio Gutiérrez-Soto +2 more
doaj +1 more source
The internal crest anatomy of Lambeosaurini (Hadrosauridae: Lambeosaurinae)
Abstract The supracranial crests of lambeosaurine hadrosaurids have long been a focus of study due primarily to their extreme morphology. The external anatomy of lambeosaurine crests is understood to be highly variable between species, but variation in their internal anatomy is less well understood.
Thomas W. Dudgeon +2 more
wiley +1 more source

