From Agent-Based Markov Dynamics to Hierarchical Closures on Networks: Emergent Complexity and Epidemic Applications. [PDF]
Klimenko AY, Rozycki A, Lu Y.
europepmc +1 more source
Transcription Profiling of Potato Leaves in Response to Heat Stress at Single‐Cell Resolution
ABSTRACT Potato (Solanum tuberosum L.) is a globally important food crop with considerable nutritional and economic value. Heat stress significantly inhibits potato plant growth and tuber development, constraining the sustainable development of the potato industry. Currently, studies on the cellular‐level mechanisms underlying heat adaptation in potato
Shiqi Wen +8 more
wiley +1 more source
Prescribed time reliable platooning control for connected autonomous vehicles using neural network adaptive estimator approach. [PDF]
Devanathan B +3 more
europepmc +1 more source
ABSTRACT Extreme heat can push plants beyond their thermal safety margin (TSM) if maximum leaf temperature (Tleaf_max) exceeds leaf critical temperature (Tcrit). The TSM is potentially useful for assessing heat vulnerability across species but needs further validation, so we exposed 50 tree/shrub species in controlled glasshouses to a 6‐day heatwave ...
Diana Cox +8 more
wiley +1 more source
On Dynamical Measures of Quantum Information. [PDF]
Fullwood J, Parzygnat AJ.
europepmc +1 more source
Fluctuation Relations Associated to an Arbitrary Bijection in Path Space. [PDF]
Chétrite R, Marcantoni S.
europepmc +1 more source
Spaceborne and spaceborn: Physiological aspects of pregnancy and birth during interplanetary flight
Abstract Crewed interplanetary return missions that are on the planning horizon will take years, more than enough time for initiation and completion of a pregnancy. Pregnancy is viewed as a sequence of processes – fertilization, blastocyst formation, implantation, gastrulation, placentation, organogenesis, gross morphogenesis, birth and neonatal ...
Arun V. Holden
wiley +1 more source
Hypercomplex neural networks: Exploring quaternion, octonion, and beyond in deep learning. [PDF]
Devadas RM +5 more
europepmc +1 more source
Topological Graph Neural Networks: A Novel Approach for Geometric Deep Learning
This graphical abstract illustrates the Topological Graph Neural Network (TopGNN) architecture. It demonstrates a parallel processing approach where an input graph is simultaneously analyzed by a standard GNN Encoder to capture local node features and by Persistent Homology to extract global topological features (like cycles and voids), visualized as a
Amarjeet +7 more
wiley +1 more source
Cell-to-cell communication: from physical calling to remote emotional touching. [PDF]
Banaeian Far S +2 more
europepmc +1 more source

