Results 161 to 170 of about 7,569,463 (308)

Utility of the APE2 Score as a Diagnostic Tool for Autoimmune Encephalitis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To retrospectively evaluate the diagnostic performance of the Antibody Prevalence in Epilepsy and Encephalopathy (APE2) score relative to clinician‐adjudicated autoimmune encephalitis (AE) and the Graus criteria in a tertiary neuroimmunology referral cohort, including antibody‐negative AE.
Bijoya Basu, Sophia F. Damman, Samhitha M. Rai, Hesham Abboud   +3 more
wiley   +1 more source

Asymptomatic twin pregnancies with newly short cervix at 24-27^6/7 weeks' gestation based on dynamic series follow-up findings: is cervical cerclage necessary? [PDF]

Arch Gynecol Obstet
Xie H, Jiang X, Bao Y, Cao Z, Qu X, Wu S, Dong J, Mao X, Ying H.   +8 more
europepmc   +1 more source

Cerebrospinal Fluid Over Plasma Links Analytes to Cognitive Decline in Older Adults at Risk for Alzheimer's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To identify inflammatory analytes in cerebrospinal fluid (CSF) and plasma associated with cognitive decline in cognitively normal (CN) older adults at risk for Alzheimer's disease (AD). Methods In a longitudinal study of 118 CN older adults (65–80 years, 54% APOE ε4, 26% preclinical AD), 1331 CSF and 1501 plasma analytes were ...
Jagan A. Pillai, Audrey Zhu, Chunxuan Ma, Ming Wang, Yifan Yang, Lynn M. Bekris, Maria Khrestian, Frank P. DiFilippo, Mikhail Nasrallah, Aaron Burberry, James B. Leverenz, Yuan Hou, Feixiong Cheng, Stephen M. Rao   +13 more
wiley   +1 more source

Time Series Dynamics

This paper explores the application of Time Series Dynamics (TSD) to modeling dynamic systems, focusing on the inherent evolution of time series data. We introduce a novel dynamic system model that explicitly incorporates temporal dynamics, enabling improved prediction and control capabilities.
openaire   +1 more source

Complementing Engel Classification: Postoperative Scalp EEG as an Objective Indicator in SEEG‐Guided Radiofrequency Thermocoagulation—A Seizure‐Onset Pattern‐Based Stratified Analysis—

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) is a minimally invasive therapy for drug‐resistant focal epilepsy. However, the relationship between specific seizure‐onset patterns (SOPs), particularly low‐voltage fast activity (LVFA), and postoperative scalp EEG normalization remains inadequately ...
Yi‐qing Yang, Rui Zhang, Haiyan Ma, Lu Yang, Xuefeng Qu, Qiqi Chen, Yan Zhang   +6 more
wiley   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Dynamic rough set learning for reliable early warning in industrial time-series systems. [PDF]

Sci Rep
Zakaria A.
europepmc   +1 more source

20240201: Marshall Artists Series, 2014-2016 [PDF]

These items include materials from the Artists Series at Marshall University from 2014-2016. Items were received in 2024 and include the programs brought to Marshall via the Artists Series, posters, and newspaper clippings from 1960.
Artist Series
core  

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Expression of Concern: Identifying key determinants of health among China's migrant population using machine learning methods: Evidence from the china migrants dynamic survey. [PDF]

PLoS One
PLOS One Editors.
europepmc   +1 more source