Results 171 to 180 of about 2,501,529 (292)

Understanding the interactions that children and young people have with their natural and built environments: A survey to identify targets for active travel behaviour change in Wales. [PDF]

PLoS One
Holmes E, Arkesteijn M, Knowles K, McKinney T, Mizen A, Purcell C.   +5 more
europepmc   +1 more source

Socioeconomic and gendered inequities in travel behaviour in Africa: Mixed-method systematic review and meta-ethnography.

Soc Sci Med, 2022
Foley L, Brugulat-Panés A, Woodcock J, Govia I, Hambleton I, Turner-Moss E, Mogo ERI, Awinja AC, Dambisya PM, Matina SS, Micklesfield L, Abdool Karim S, Ware LJ, Tulloch-Reid M, Assah F, Pley C, Bennett N, Pujol-Busquets G, Okop K, Anand T, Mba CM, Kwan H, Mukoma G, Anil M, Tatah L, Randall L.   +25 more
europepmc   +1 more source

A survey of travel behaviour among scientists in Germany and the potential for change. [PDF]

Elife, 2020
Haage V.
europepmc   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Measuring and Explaining the Increase of Travel Distance: A Multilevel Analysis Using Repeated Cross Sectional Travel Surveys [PDF]

Structural and behavioural factors drive the growth and change of spatial mobility in the industrialised countries: on the macro level we have observed tremendous increases in travel demand as measured by person miles travelled.
Uwe Kunert, Oliver Lipps
core  

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

FEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source

Cyclic azapeptide CD36 ligand attenuates cardiac injury and reduces long‐chain fatty acid accumulation after myocardial ischemia–reperfusion in mice

FEBS Open Bio, EarlyView.
In a murine model of myocardial ischemia and reperfusion (MI/R), the CD36 azapeptide ligand MPE‐298 reduces cardiac injury and transiently lowers left ventricular long‐chain fatty acids (LCFAs) accumulation 3 h after reperfusion, accompanied by a decrease of oxidative stress and inflammation‐associated genes' expression in the heart and adipose tissue.
Jade Gauvin, Naghme Radmannia, David N. Huynh, Liliane Ménard, Caroline Daneault, Maïté Veilleux, Ahsanullah Ahsanullah, André C. Carpentier, William D. Lubell, Matthieu Ruiz, Huy Ong, Sylvie Marleau, Simon‐Pierre Gravel   +12 more
wiley   +1 more source

Hydrostatic pressure activates HIF‐1α via β‐catenin to promote stemness in breast cancer cells

FEBS Open Bio, EarlyView.
To mimic the elevated intestinal fluid pressure in breast cancers, we loaded human breast cancer cells (MCF‐7, MDA‐MB‐453, and BT‐474) to 50 mmHg hydrostatic pressure. Hydrostatic pressure exposure upregulated HIF‐1α and induced stemness in MCF‐7 and BT‐474 cells.
Da Zhai, Yong Xu, Jingjing Ma, Ratchanee Duangrat, Chen Yan, Jingyan Liang, Hua Wei, Bin Jiang, Tao‐Sheng Li   +8 more
wiley   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source