Results 191 to 200 of about 211,686 (322)

‘reportless places’: Janet Malcolm and Collage

open access: yes
Critical Quarterly, EarlyView.
Natalie Ferris
wiley   +1 more source

Unequal access to timely care: Geographic variation in prehospital time among injured patients at risk of hemorrhagic shock

open access: yesTransfusion, EarlyView.
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

Elevational variation in heart mass and suppression of hypoxia‐induced right ventricle hypertrophy in Andean leaf‐eared mice (Phyllotis)

open access: yesThe Journal of Physiology, EarlyView.
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

Bayesian Analysis of Postoperative Complication Risk Associated With Preoperative Exposure to Fine Particulate Matter: A Single‐Center Cohort Study

open access: yesActa Anaesthesiologica Scandinavica, Volume 70, Issue 6, July 2026.
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

Topological Graph Neural Networks: A Novel Approach for Geometric Deep Learning

open access: yesApplied AI Letters, Volume 7, Issue 2, June 2026.
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

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