Results 101 to 110 of about 31,155,536 (302)

Data-Driven Control-oriented Modelling of Submerged Arc Furnaces [PDF]

, 2023
openThe present thesis focuses on the integration of chemophysical knowledge and data-driven insights to develop control-oriented models for submerged arc furnaces (SAF).
FORNASIER, PIERANGELO
core  

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani, Emmanuel Barbeau, Béatrice Lemesle, Emilie Milongo‐Rigal, Sophie Fernandez, Sandrine Charpentier, Jean‐François Albucher, Nicolas Raposo, Fabrice Bonneville, Patrice Péran, Jérémie Pariente   +10 more
wiley   +1 more source

Using Data-Driven Learning to Predict and Control the Outcomes of Inorganic Materials Synthesis. [PDF]

Inorg Chem, 2023
Williamson EM, Brutchey RL.
europepmc   +1 more source

Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach, Sandra Donkervoort, Carola Hedberg‐Oldfors, Giovanni Baranello, Dimah Saade, Precilla D'Souza, Ruchee Patel, Eva Michael, A. Reghan Foley, Diana Bharucha‐Goebel, S. Jin Haugland, Meghan McAnally, Omer Abdul Hamid, Katherine Chao, Ellen F. Macnamara, Alan H. Beggs, Anna Sarkozy, Juliane Mueller, Steven A. Moore, Richard S. Finkel, Cynthia J. Tifft, Francesco Muntoni, Anders Oldfors, Carsten G. Bönnemann   +23 more
wiley   +1 more source

Everybody's talking about equity, but is anyone really listening?: The case for better data-driven learning in health systems. [PDF]

Int J Popul Data Sci, 2023
Lee-Foon NK, Reid RJ.
europepmc   +1 more source

Data-driven methodologies for structural damage detection based on machine learning applications

, 2016
Structural health monitoring (SHM) is an important research area, which interest is the damage identification process. Different information about the state of the structure can be obtained in the process, among them, detection, localization and ...
Francesc Pozo, Tibaduiza Burgos, Diego Alexander, Anaya Vejar, Maribel, Diego Alexander Tibaduiza Burgos, Jaime Vitola, Pozo Montero, Francesc, Vitola Oyaga, Jaime, Maribel Anaya Vejar   +7 more
core   +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

Employing the Linguistic Corpus in Teaching Arabic Writing Skill: A Proposed Instructional Model for the Arabic Program

Al-Muyassar
This study proposes an instructional model for teaching Arabic writing skills to students of the Program for Arabic Language (PKPBA) at Maulana Malik Ibrahim State Islamic University Malang, Indonesia, based on the use of a language corpus.
Ilham Fatkhu Romadhon, Muassomah, Zakiyah Arifa   +2 more
doaj   +1 more source

Toward written error correction with a Japanese-English parallel corpus: Data-driven learning in the japanese EFL classroom

Vocabulary Learning and Instruction, 2019
The concept of data-driven learning (DDL) – direct student use of corpora – has been gaining attention among researchers and teachers. DDL gives learners the chance to take an inductive approach to learning by recognizing patterns in corpus data rather ...
Michael McGuire
doaj   +1 more source

Data-driven learning of Boolean networks and functions by optimal causation entropy principle. [PDF]

Patterns (N Y), 2022
Sun J, AlMomani AAR, Bollt E.
europepmc   +1 more source