Results 151 to 160 of about 94,222 (207)

The Mathematical History Behind the Granger–Johansen Representation Theorem

Oxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT When can a vector time series that is integrated once (i.e., becomes stationary after taking first differences) be described in error correction form? The answer to this is provided by the Granger–Johansen representation theorem. From a mathematical point of view, the theorem can be viewed as essentially a statement concerning the geometry of ...
Johannes M. Schumacher
wiley   +1 more source

Building compositional tasks with shared neural subspaces. [PDF]

Nature
Tafazoli S, Bouchacourt FM, Ardalan A, Markov NT, Uchimura M, Mattar MG, Daw ND, Buschman TJ.   +7 more
europepmc   +1 more source

A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention

Obesity Reviews, EarlyView.
ABSTRACT This systematic review examines the applications of artificial intelligence (AI) in preventing obesity, addressing a critical public health issue that affects a substantial portion of the population. With obesity rates rising alarmingly, particularly in the United States, this review synthesizes findings from 46 studies published between 2008 ...
Atefehsadat Haghighathoseini, Shuo‐yu Lin, Ge Song, Ruopeng An, Hong Xue   +4 more
wiley   +1 more source

A configuration interaction approach to solve the Anderson impurity model; applications to elemental Ce. [PDF]

NPJ Comput Mater
Herzog B, Thunström P, Eriksson O.
europepmc   +1 more source

Altered spectral patterns of aperiodic electroencephalography in autism

Psychiatry and Clinical Neurosciences, EarlyView.
Aim The altered ratio of neural excitation (E) and inhibition (I) has been proposed to the etiology of autism spectrum disorder (ASD). Previous studies suggested a lower E/I ratio in autistic individuals compared to non‐autistic comparisons (NACs) in specific brain regions.
Yi‐Ling Chien, Ming Hsien Hsieh, Yi‐Hsuan Hsieh, Yi‐Li Tseng   +3 more
wiley   +1 more source

Schizophrenia detection via lobe-wise and overall EEG features using VMD and bayesian-optimized machine learning models. [PDF]

Front Neurosci
Sravanthi GS, Sharma LD.
europepmc   +1 more source

In silico modelling of multi‐electrode arrays for enhancing cardiac drug testing on hiPSC‐CM heterogeneous tissues

The Journal of Physiology, EarlyView.
Abstract figure legend Schematic overview of the experimental and computational framework for investigating hiPSC‐CM electrophysiology with MEA systems. The MEA‐based model integrates experimental data with phenotype‐specific ionic models and tissue‐level heterogeneity.
Sofia Botti, Rolf Krause, Luca F. Pavarino   +2 more
wiley   +1 more source

Augmenting early stroke diagnosis with an eye-tracker. [PDF]

Front Neurol
Hassan MA, Zhuang Y, Shifat-E-Rabbi M, Aldridge CM, Southerland AM, Rohde GK.   +5 more
europepmc   +1 more source

Computational modelling of the pro‐ and antiarrhythmic effects of atrial high rate‐dependent trafficking of small‐conductance calcium‐activated potassium channels

The Journal of Physiology, EarlyView.
Abstract figure legend Small‐conductance calcium‐activated potassium (SK) channels are important for atrial repolarization and can be targeted for atrial‐specific antiarrhythmic treatments. We developed a computational model with a calcium sensor to study the effects of increased pacing rate (5 Hz), which enhances SK‐channel gating and forward ...
Stefan Meier, Dobromir Dobrev, Paul G. A. Volders, Jordi Heijman   +3 more
wiley   +1 more source

Dataset-Learning Duality and Emergent Criticality. [PDF]

Entropy (Basel)
Kukleva E, Vanchurin V.
europepmc   +1 more source