Results 61 to 70 of about 1,803,229 (305)

Digital Cognitive Testing in Mitochondrial Disease: Validity and Challenges for Clinical Trial Use

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Primary mitochondrial disease is a group of genetic disorders caused by pathogenic variants in nuclear or mitochondrial DNA, often resulting in progressive neurodegeneration and cognitive decline. Current management is primarily supportive, though recent research offers hope for disease‐modifying treatments in the future.
Oksana Pogoryelova, Jan Smeitink, Herma Renkema, Rosabeth White, Frankie Barton, Rachel Lyon, Jane Newman, Aye Moe, Yi Shiau Ng, Grainne Siobhan Gorman   +9 more
wiley   +1 more source

A fuzzy concept-cognitive learning method integrating fuzzy coverage

Nantong Daxue xuebao. Ziran kexue ban
Concept-cognitive learning is an emerging interdisciplinary research area that aims to continuously learn new knowledge by imitating the human cognitive process.
WU Yuqing；LIN Yidong；LIANG Taoju
doaj   +1 more source

A Granular Computing Method for Economic Dispatch Problems With Valve-Point Effects

IEEE Access, 2019
This paper presents a granular computing method (GrC) for the economic dispatch (ED) problems with valve-point effects to reduce the computational dimension and improve the solving accuracy.
Xueping Li, Anyi Li, Zhigang Lu
doaj   +1 more source

On the System Algebra Foundations for Granular Computing

, 2009
Granular computing studies a novel approach to computing system modeling and information processing. Although a rich set of work has advanced the understanding of granular computing in dealing with the “to be” and “to have” problems of systems, the “to ...
Lotfi A. Zadeh, Yiyu Yao, Yingxu Wang
core   +1 more source

Safety and Efficacy of GLP‐1 Receptor Agonists in Adults With Epilepsy, Obesity, and Type 2 Diabetes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Managing obesity in patients with epilepsy is complicated by the weight‐gaining properties of essential antiseizure medications (ASMs) such as valproate and pregabalin. We evaluated the safety and efficacy of initiating glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) in this population.
Hyoshin Son, Inyoung Hwang, Sang Won Lee, Yun Kim   +3 more
wiley   +1 more source

Granular Computing Methods in Bioinformatics.

, 2007
Granular Computing Methods in Bioinformatics.Méthodes de calcul granulaire en bioinformatiqueNRC publication ...
Valdés, Julio
core   +1 more source

Training dictionary by granular computing with L∞-norm for patch granule–based image denoising

Journal of Algorithms & Computational Technology, 2018
Considering the objects by different granularity reflects the recognition common law of people, granular computing embodies the transformation between different granularity spaces.
Hongbing Liu, Gengyi Liu, Xuewen Ma, Daohua Liu   +3 more
doaj   +1 more source

A Logic Approach to Granular Computing [PDF]

International Journal of Cognitive Informatics and Natural Intelligence, 2008
Granular computing is an emerging field of study that attempts to formalize and explore methods and heuristics of human problem solving with multiple levels of granularity and abstraction. A fundamental issue of granular computing is the representation and utilization of granular structures.
Bing Zhou 0002, Yiyu Yao
openaire   +2 more sources

Impact of Age on the Diagnostic Yield of Routine EEG in People With Childhood or Juvenile Absence Epilepsy: A Cross‐Sectional Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background We aimed to identify the proportion of individuals with a confirmed diagnosis of childhood absence epilepsy (CAE) or juvenile absence epilepsy (JAE) who show a negative routine EEG (rEEG), and to determine the main factors associated with this finding.
Francesco Fortunato, Alessia Giugno, Miriam Sturniolo, Enrico Fratto, Pio Zoleo, Francesca Felicia Operto, Ilaria Sammarra, Antonio Gambardella   +7 more
wiley   +1 more source

Modeling Progressive Brain Volume Losses in Chronic Moderate Severe Traumatic Brain Injury: Extensive, but Attenuating

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Progressive brain atrophy has now been widely observed in the chronic stages of moderate–severe traumatic brain injury (msTBI), but there is only coarse information regarding its prevalence and magnitude, and whether rate of atrophy accelerates or attenuates across time. We examined these questions in a Canadian inception cohort from
Robin E. A. Green, Brenda Colella, Alana Changoor, David J. Mikulis, Adrienne Li, Kadeen Johns, Georges A. Monette   +6 more
wiley   +1 more source