Results 131 to 140 of about 1,780,354 (311)

Data-driven learning how oncogenic gene expression locally alters heterocellular networks. [PDF]

Nat Commun, 2022
Klinke DJ, Fernandez A, Deng W, Razazan A, Latifizadeh H, Pirkey AC.   +5 more
europepmc   +1 more source

Metabolic and Microvascular Risk Factors Associated With Brain Health in Type 1 Diabetes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We examined relationships between metabolic factors, microvascular complications, and brain health in adults with type 1 diabetes. Fifty‐one adults were assessed for metabolic risk factors, microvascular complications, and cognitive function, with a subset completing brain MRI.
Jihyun Park, Emily J. Koubek, Richard Beare, Lynn Ang, Brian C. Callaghan, Rodica Pop‐Busui, Eva L. Feldman, Evan L. Reynolds   +7 more
wiley   +1 more source

Data-driven modelling of LTI systems using symbolic regression [PDF]

, 2017
The aim of this project is to automate the task of data-driven identification of dynamical systems. The underlying goal is to develop an identification tool that models a physical system without distinguishing between classes of systems such as linear ...
Tóth, Roland Roland, Khandelwal, D., Van den Hof, P.M.J.; id_orcid, Hof, PMJ Paul van den, Toth, R.; id_orcid, Toth, R., Van den Hof, P.M.J., Khandelwal, D   +7 more
core  

On the linear quadratic data-driven control

, 2007
The classical approach for solving control problems is model based: first a model representation is derived from given data of the plant and then a control law is synthesized using the model and the control specifications.
Paolo Rapisarda, Markovsky, Ivan, Ivan Markovsky, Rapisarda, Paolo   +3 more
core   +1 more source

The Impact of Data-Driven Learning on Medical Students\' English Academic Writing [PDF]

Journal of Medical Education and Development
Introduction: Data-driven learning has emerged as a powerful method in language teaching and has drastically changed the traditional methods of teaching and learning, especially in academic writing.
Amin Dehghan, Ali Mohammad Fazilatfar, Ali Akbar Jabbari   +2 more
doaj  

Fast data-driven learning of parallel MRI sampling patterns for large scale problems. [PDF]

Sci Rep, 2021
Zibetti MVW, Herman GT, Regatte RR.
europepmc   +1 more source

Plasma EV Proteomics Identifies ECM Remodeling and Inflammatory Proteins LUM and C7 as Candidate Biomarkers in FSHD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit, Chiranth K. Nagaraj, Jackson S. Newell, Kim Truc Nguyen, Xilal Y. Rima, Jacob Doon‐Ralls, Eduardo Reátegui, Jeffrey M. Statland, Rabi Tawil, Kevin M. Flanigan, Scott Q. Harper, Nizar Y. Saad   +11 more
wiley   +1 more source

The effect of data-driven approach to teaching vocabulary on Iranian students’ learning of English vocabulary

Cogent Education, 2017
Corpus-based data-driven learning (DDL) is an innovation in teaching and learning new vocabulary for EFL students. Using teacher-prepared materials obtained from COCA corpus, the goal of the present study is to compare DDL and traditional methods of ...
Elyas Barabadi, Yaser Khajavi
doaj   +1 more source

White Matter Microstructural Abnormalities in Neonatal Onset Genetic Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Recent evidence indicates that epilepsy is associated with abnormal white matter. If seizures alter white matter, then the impact upon network function, epileptogenesis, and cognition could be pronounced in neonates undergoing rapid developmental myelination. Neonates with epilepsy due to nonstructural genetic causes provide a unique
Amanda G. Sandoval Karamian, Tianjia Zhu, Hao Huang, Shavonne L. Massey, Mark P. Fitzgerald, Darshana Parikh, Arastoo Vossough, Ingo Helbig, Nicholas S. Abend   +8 more
wiley   +1 more source

(Lexico)grammar and Data-Driven Learning

Among the different aspects of language that data-driven learning (DDL) can be used for, this entry focuses on lexicogrammar and grammar. It starts by showing that DDL has been applied more often to lexicogrammar than to grammar. It then presents the ways in which each of them can be approached through DDL, with some illustrations taken from the ...
openaire   +2 more sources