Closed-loop synchronization versus conventional synchronization in spontaneously breathing pediatric patients (CHESTSIPP) - a randomized controlled cross-over study. [PDF]
Ceylan G +11 more
europepmc +1 more source
Leptin Reduces Running in a Rodent Anorexia Nervosa Model via a Distributed Neural Network
ABSTRACT Objective Hyperactivity is a persistent and clinically relevant symptom in anorexia nervosa (AN). Hyperactivity is inversely correlated with leptin levels. While systemic leptin administration attenuates hyperactivity in rodent models, the specific brain regions mediating this effect remain unclear.
Nick J. M. Papavoine +6 more
wiley +1 more source
Desert dust exerts twice the longwave radiative heating estimated by climate models. [PDF]
Kok JF +18 more
europepmc +1 more source
Brain–Computer Interfaces: The Dawn of a New Era in Disease Treatment
This study investigates the potential of brain–computer interface (BCI) technology in treating neuropsychiatric disorders, such as movement and communication barriers. Our review examines the history, signal paradigms, and diverse applications of BCI while also discussing ongoing research into novel materials and emerging technologies that offer ...
Yuqi Feng +11 more
wiley +1 more source
Glioblastoma cells that evade chemoradiotherapy-induced cell death exhibit a bifurcated glycolytic program. [PDF]
Martell E +8 more
europepmc +1 more source
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das +2 more
wiley +1 more source
Examining the independent effects of motivational factors and withdrawal mechanisms on functional impairment. [PDF]
Gallagher MR, Fournier JC.
europepmc +1 more source
Using DSGE and Machine Learning to Forecast Public Debt for France
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos +4 more
wiley +1 more source
Prosocial behaviour and happiness among children aged 6 to 11 years in Canada. [PDF]
Capaldi CA +4 more
europepmc +1 more source
Nowcasting World Trade With Machine Learning: A Three‐Step Approach
ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn +2 more
wiley +1 more source

