Concept
British Doctors Study
Related publications (33)
Harmonization of multi-scanner in vivo magnetic resonance spectroscopy: ENIGMA consortium task group considerations
Magnetic resonance spectroscopy is a powerful, non-invasive, quantitative imaging technique that allows for the measurement of brain metabolites that has demonstrated utility in diagnosing and characterizing a broad range of neurological diseases. Its impa ...
FRONTIERS MEDIA SA2023Electrification and digitalization effects on sectoral energy demand and consumption: A prospective study towards 2050
François Maréchal, Fabian Heymann, Xiang Li
Energy transition is blurring the boundaries between the demand and supply sides with growing participation of prosumer resources. The intensifying pace of electrification and digitalization during the past decade tends to continue, leading to potential te ...
PERGAMON-ELSEVIER SCIENCE LTD2023Prospective study on the cost evolution for key energy technologies
Drastic variations of energy costs are witnessed in past decades, especially for low-carbon technologies, where decreasing and increasing trends co-existed. Estimating the cost evolution in the future is hence essential in long-term energy planning. Despit ...
2022Prospective study on the cost evolution for key energy technologies
Energy technologies are subject to dramatic cost changes. Indeed, the recent trend in investment costs (expressed in [USD/kW]) for the main renewable energy technologies showed an important cost reduction (e.g. solar PV and wind) or increase (e.g. hydro-po ...
2022Cerebral Metabolic Dysfunction at the Acute Phase of Traumatic Brain Injury Correlates with Long-Term Tissue Loss
Adriano Bernini, Ricardo Alberto Corredor Jerez, Neil Graham
Following traumatic brain injury (TBI), cerebral metabolic dysfunction, characterized by an elevated cerebral microdialysis (CMD) lactate/pyruvate (LP) ratio, is associated with poor outcome. However, the exact pathophysiological mechanisms underlying this ...
MARY ANN LIEBERT, INC2022Long-term effects of early treatment with SSRIs on cognition and brain development in individuals with 22q11.2 deletion syndrome
Maude Schneider, Marie Schaer, Karin Bortolin
Cognitive deficits in individuals at risk of psychosis represent a significant challenge for research, as current strategies for symptomatic treatment are often ineffective. Recent studies showed that atypical cognitive development predicts the occurrence ...
SPRINGERNATURE2021Optimization of operational decisions for on-demand shared mobility systems
Martin Jean Marie Joseph Repoux
This thesis introduces new operational management policies for two types of on-demand shared mobility systems, the now well-studied one-way carsharing systems and a new innovative semi-autonomous last-mile transportation system. In addition, two associated ...
EPFL2021The effects of model complexity and size on metabolic flux distribution and control: case study in Escherichia coli
Vassily Hatzimanikatis, Georgios Fengos, Tuure Eelis Hameri
Background Significant efforts have been made in building large-scale kinetic models of cellular metabolism in the past two decades. However, most kinetic models published to date, remain focused around central carbon pathways or are built around ad hoc re ...
BMC2021NovelT2Mapping for Evaluating Cervical Cancer Features by Providing QuantitativeT2Maps and Synthetic Morphologic Images: A Preliminary Study
Tobias Kober, Tom Hilbert, Yong Zhang, Meng Yang, Jie Liu
Background The application value of T(2)mapping in evaluating cervical cancer (CC) features remains unclear. Purpose To investigate the role of T(2)values in evaluating CC classification, grade, and lymphovascular space invasion (LVSI) in comparison to app ...
WILEY2020Resting-State Brain Activity for Early Prediction Outcome in Postanoxic Patients in a Coma with Indeterminate Clinical Prognosis
Dimitri Nestor Alice Van De Ville
The authors used resting-state fMRI in a prospective study to compare whole-brain functional connectivity between patients with good and poor outcomes, implementing support vector machine learning. They automatically predicted coma outcome using resting-st ...
AMER SOC NEURORADIOLOGY2020