Morphological Traits Shape Foraging Scale but Not Precision: Divergent Responses of Four Tree Species to Water and Nutrient Heterogeneity. [PDF]
Wei L +6 more
europepmc +1 more source
Mixing of random walks on random graphs and intersections of branching random walks
In this thesis, we analyse the mixing properties of random walks on various random graph models, and we discuss a question about the intersection probabilities of branching random walks. We consider three different random graph models that each have some underlying structure and some additional randomness on top of that.
openaire +2 more sources
Superpixel Random Selection Random Walk Multi-Branch Depthwise Convolutional Neural Network for Hyperspectral Image Classification. [PDF]
Zhang K, Jiang X, Cai Z.
europepmc +1 more source
Investigations of the Evolved Molecular Basis for Terpenoid Biosynthesis in Marine Sponges
Confirming and extending a previous observation in another Bubarida sponge, genomic and functional analyses of A. cavernosa reveal that sponges retain the mevalonate pathway and employ single α‐domain T1TSs and UbiA‐type TSs for terpenoid biosynthesis. The absence of T1TSs clustering with other biosynthetic genes tentatively suggests, based on limited ...
Fangyan Chen +6 more
wiley +1 more source
Making Ends Meet or Just Meeting at the Ends? Assessing End-to-End Distance in Folded RNA Sequences and Other Branched Structures. [PDF]
Greenwood T, Heitsch C.
europepmc +1 more source
A unified time‐series forecasting framework learns transferable battery capacity‐degradation patterns from 20 heterogeneous datasets spanning chemistries, formats, temperatures, and cycling conditions. A single model delivers competitive predictions on both known and previously unseen datasets, while physics‐guided representation learning improves ...
Joey Chan +8 more
wiley +1 more source
Vector Encoding of Phylogenetic Trees by Ordered Leaf Attachment. [PDF]
Richman DH, Zhang C, Matsen FA.
europepmc +1 more source
This graphical abstract presents gut microbial cross‐feeding through a Mechanism–Technology–Application framework. It summarizes major resource‐transfer modes, the experimental and computational tools used to establish causality, and potential interventions involving dietary substrates, live biotherapeutic products, and engineered microbes.
Chuankai Sun +7 more
wiley +1 more source
Machine learning for prediction of key haemodynamic parameters in pulmonary arterial hypertension. [PDF]
Kramer T +5 more
europepmc +1 more source
ABSTRACT Bile acids have been implicated in calcium oxalate (CaOx) nephrolithiasis. Here, we employ multi‐omics approaches to identify isoallolithocholic acid (isoalloLCA) as the key bile acid elevated in the feces, serum, kidney, and urine of CaOx rats, confirmed by spatial metabolomics.
Zijian Zhou +9 more
wiley +1 more source

