Results 171 to 180 of about 23,648 (228)

Examining the ‘gendered’ places and spaces of UK doctoral education using multilevel modelling

Transactions of the Institute of British Geographers, EarlyView.
Short Abstract Research on gender in higher education frequently focuses on either micro‐ or macro‐scale factors, such as power relations and working practices, or disciplinary norms and the educational ‘pipeline’. As a result, the connecting meso‐scale of ‘place’—embodied in the department and institution—is often missing both conceptually and ...
Laura Harriet Sheppard, Jonathan Reades, Richard P. J. Freeman   +2 more
wiley   +1 more source

Unveiling high ductility in boron carbide crystal at room temperature. [PDF]

Sci Adv
Li P, Li J, Feng Q, Jin T, Bu Y, Wang C, Luo K, Ning S, Xu B, Zhu Y, An Q, Wang H, Nie A, Tian Y.   +13 more
europepmc   +1 more source

Confined spaces in space: Cerebral implications of chronic elevations of inspired carbon dioxide and implications for long‐duration space travel

Experimental Physiology, EarlyView.
Abstract Cerebrovascular regulation is critically dependent upon the arterial partial pressure of carbon dioxide (PaCO2${P_{{\mathrm{aC}}{{\mathrm{O}}_{\mathrm{2}}}}}$), owing to its effect on cerebral blood flow, tissue PCO2${P_{{\mathrm{C}}{{\mathrm{O}}_{\mathrm{2}}}}}$, tissue proton concentration, cerebral metabolism and cognitive and neuronal ...
Jay M. J. R. Carr, Philip N. Ainslie, Trevor Day   +2 more
wiley   +1 more source

Cerebrovascular pulsatility following long duration spaceflight is associated with changes in pulse pressure and carotid artery stiffness

Experimental Physiology, EarlyView.
Abstract Central artery stiffening increases the haemodynamic pulsations transmitted downstream towards target organs, including the brain. While recent evidence suggests that long duration spaceflight is associated with reduced common carotid artery (CCA) distensibility, cerebrovascular pulsatility has not been extensively characterized in astronauts.
Roxanne Fournier, Danielle K. Greaves, J. Kevin Shoemaker, Philippe Arbeille, Richard L. Hughson, Andrew D. Robertson   +5 more
wiley   +1 more source

Are AI weather models learning atmospheric physics? A sensitivity analysis of cyclone Xynthia. [PDF]

NPJ Clim Atmos Sci
Baño-Medina J, Sengupta A, Doyle JD, Reynolds CA, Watson-Parris D, Monache LD.   +5 more
europepmc   +1 more source

Integrative cardiovascular dose–response to graded lower‐body negative pressure

Experimental Physiology, EarlyView.
ABSTRACT Lower‐body negative pressure (LBNP) has been posited as a potential spaceflight countermeasure to counteract the physiological deconditioning related to fluid shifts in microgravity. However, open questions remain regarding the magnitude of LBNP that should be applied.
Richard S. Whittle, Nathan Keller, Eric A. Hall, Safiyya Patanam, Bonnie J. Dunbar, Ana Diaz‐Artiles   +5 more
wiley   +1 more source

Multiple Probe Measurements at Uranus Motivated by Spatial Variability. [PDF]

Space Sci Rev
Wong MH, Rowe-Gurney N, Markham S, Sayanagi KM.   +3 more
europepmc   +1 more source

Diffusion and physical constraints limit oxidative capacity, capillary supply and size of muscle fibres in mice and humans

Experimental Physiology, EarlyView.
Abstract It has been suggested that angiogenesis during skeletal muscle fibre hypertrophy allows escape from the ‘size constraint’, which is the inverse relationship between oxidative capacity and muscle fibre cross‐sectional area (FCSA). It is, however, not known whether there are any limitations to the combinations of FCSA, oxidative capacity and ...
Hans Degens, Guy A. M. Messa, Jason Tallis, Alessandra Bosutti, Tomas Venckunas, Ismail Adeniran, Rob C. I. Wüst, Paul W. Hendrickse   +7 more
wiley   +1 more source

Pervasive impact modification of pristine lunar clasts. [PDF]

Nat Commun
Barboni M, Needham E, Trail D, Bell EA, Chen HY.   +4 more
europepmc   +1 more source

A Hybrid Physics‐Guided Deep Learning Modeling Framework for Predicting Surface Soil Moisture

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 3, September 2025.
Abstract Accurate prediction of surface soil moisture (SSM) is vital for understanding the complex interactions between terrestrial and atmospheric processes with significant implications for weather forecasting, agriculture, and water management. In this study, we introduce an innovative physics‐guided deep learning (PGDL) model by integrating the ...
Xuan Xi, Qianlai Zhuang, Xinyu Liu
wiley   +1 more source