Results 161 to 170 of about 29,070 (246)

Impact of Advanced Age on Posttransplant Infections and Outcomes in Solid Organ Transplant Recipients: A Multicenter Cohort Study

open access: yesTransplant Infectious Disease, EarlyView.
Advanced age (≥60 years) was independently associated with higher mortality in solid organ transplant recipients, despite similar infection incidence. Even a single infection episode significantly increased mortality risk, underscoring the need for close clinical monitoring in elderly patients.
Sibel Altunisik Toplu   +18 more
wiley   +1 more source

Longitudinal Analysis of Seasonal Variations in Intradermal Test Reactivity and Serum Allergen‐Specific Immunoglobulin E in Dogs With Atopic Dermatitis

open access: yesVeterinary Dermatology, EarlyView.
Background: In dogs with atopic dermatitis (AD), allergen testing is often timed to pollen exposure. However, data on seasonal effects on intradermal testing (IDT) and allergen‐specific immunoglobulin (Ig)E serology (SAT) are limited. Objectives: To evaluate the seasonal effects on IDT and SAT results in dogs with AD by comparing aeroallergen test ...
Jade Faucher   +3 more
wiley   +1 more source

Determinants of maximal oxygen uptake in highly trained females and males: a mechanistic study of sex differences using advanced invasive methods

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend The results from this study show that maximal cardiac output, stroke volume and leg blood flow are similar between highly trained females and males after normalisation to lean body mass (LBM). However, the 10% higher haemoglobin concentration ([Hb]) and arterial O2 content in males result in higher systemic and leg O2 delivery ...
Øyvind Skattebo   +11 more
wiley   +1 more source

Actionable visualization principles and guidance for a foundational university data science course

open access: yesTeaching Statistics, Volume 48, Issue S1, Page S122-S135, Summer 2026.
Abstract When teaching how to describe and apply good practices for visualizing data, we need to define “good”. Several sets of guidelines about good visualization practice exist in the literature and online, though each set focuses on different aspects of visualization and their level ranges from very general to very specific.
David C. Sterratt   +2 more
wiley   +1 more source

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