Results 191 to 200 of about 211,686 (322)
‘reportless places’: Janet Malcolm and Collage
Critical Quarterly, EarlyView.
Natalie Ferris
wiley +1 more source
Cache Pilfering Risks Vary With Seed Species and Pilferers. [PDF]
Cha M, Li Y, Wang M, Yi X.
europepmc +1 more source
Abstract Background Hemorrhage remains the leading cause of preventable traumatic deaths, with many fatalities occurring before hospital arrival. Although geographic differences in prehospital time (PHT) are recognized, contemporary national estimates and their implications for resuscitation readiness are not well defined.
Pawan Acharya +11 more
wiley +1 more source
SLEEPY: a comprehensive Python module for simulating relaxation and dynamics in nuclear magnetic resonance. [PDF]
Smith AA, Zumpfe K.
europepmc +1 more source
Abstract figure legend In lowland mammals that ascend to high elevation, hypoxia‐induced changes in the pulmonary circulation can give rise to hypoxic pulmonary hypertension (HPH) and associated right‐ventricle (RV) hypertrophy. Andean mice with broad elevational ranges have greater heart mass relative to body size at higher elevations, but they ...
Naim M. Bautista +9 more
wiley +1 more source
Diversified caching algorithm with cooperation between edge servers. [PDF]
Sang Y, Guo Y, Wang B, Song Y.
europepmc +1 more source
ABSTRACT Background Air pollution, especially particle pollution, is increasingly recognized as a potential perioperative risk factor, yet modeling environmental exposures in surgical cohorts remains methodologically underdeveloped. We demonstrate a Bayesian hierarchical framework to quantify probabilistic associations between preoperative fine ...
John F. Pearson +13 more
wiley +1 more source
The heritability of spatial memory and caching behaviour in a food-storing bird. [PDF]
Vámos TIF, McCallum E, Shaw RC.
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

