Results 101 to 110 of about 397,119 (307)

Lesion Location and Functional Connections Reveal Cognitive Impairment Networks in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive impairment, fatigue, and depression are common in multiple sclerosis (MS), potentially due to disruption of regional functional connectivity caused by white matter (WM) lesions. We explored whether WM lesions functionally connected to specific brain regions contribute to these MS‐related manifestations.
Alessandro Franceschini, Paolo Preziosa, Paola Valsasina, Damiano Mistri, Monica Margoni, Federica Esposito, Massimo Filippi, Maria A. Rocca   +7 more
wiley   +1 more source

Automatic prediction for IP backbone network traffic

Dianxin kexue, 2020
Efficient and reliable network traffic prediction is the basis of network planning and capacity expansion construction.Currently,there is no integral theoretical model to describe internet traffic.Most of the industry designs simplified and operable ...
Xuan WEI, Ke RUAN, Xiaoying HUANG, Xun CHEN, Cancan HUANG   +4 more
doaj   +2 more sources

CCDSReFormer: Traffic flow prediction with a criss-crossed dual-stream enhanced rectified transformer model

Communications in Transportation Research
Accurate, efficient, and rapid traffic forecasting is essential for intelligent transportation systems and plays a pivotal role in urban traffic planning, management, and control.
Zhiqi Shao, Michael G.H. Bell, Ze Wang, D. Glenn Geers, Xusheng Yao, Junbin Gao   +5 more
doaj   +1 more source

Time-Series Regression Model for Prediction of Mean Daily Global Solar Radiation in Al-Ain, UAE [PDF]

, 2012
H.A.N. Hejase, Ali Assi
openalex   +1 more source

Visualizing Time Series Predictability [PDF]

, 2014
Predicting how temporally varying phenomena will evolve over time, or in other terms forecasting, is one of the fundamental tasks in time series analysis. Prediction has gained particular importance with the advent of real time data collection activities.
openaire   +1 more source

Systemic T Cell Receptor Profiling Reveals Adaptive Immune Activation and Potential Immune Signatures of Diagnosis and Brain Atrophy in Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy is increasingly associated with immune dysregulation and inflammation. The T cell receptor (TCR), a key mediator of adaptive immunity, shows repertoire alterations in various immune‐mediated diseases. The unique TCR sequence serves as a molecular barcode for T cells, and clonal expansion accompanied by reduced overall TCR ...
Yong‐Won Shin, Sang Bin Hong, Yong Woo Shin, Inpyeong Hwang, Jaeseong Oh, Jihyeon Choi, Narae Kim, Jangsup Moon, Keun‐Hwa Jung, Kyung‐Il Park, Ki‐Young Jung, Kon Chu, Sang Kun Lee   +12 more
wiley   +1 more source

TIME SERIES MODEL WITH LONG SHORT-TERM MEMORY EFFECT FOR GREENHOUSE GAS ESTIMATION IN INDONESIA

Barekeng
Climate change is one of the major challenges in the world today, characterized by changes in meteorological values, such as rainfall and temperature, caused by the concentration of greenhouse gases in the atmosphere, such as CO2, N2O, and CH4.
Ridho Saputra, Alvi Khairin Nisa, Nia Ramadhani, Mawanda Almuhayar, Dodi Devianto   +4 more
doaj   +1 more source

Interleukin‐6 as a Key Biomarker in Facioscapulohumeral Dystrophy: Evidence From Longitudinal Analyses

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy type 1 (FSHD1) is a progressive neuromuscular disorder with no approved treatments. Identifying reliable biomarkers is critical to monitor disease severity, activity, and progression. Interleukin‐6 (IL‐6) has been proposed as a candidate biomarker, but longitudinal validation is limited ...
Jonathan Pini, Emanuela Martinuzzi, Sandra Dhifallah, Abderhmane Slioui, Angela Puma, Luisa Villa, Michele Cavalli, Andra Ezaru, Jérémy Garcia, Manuela Gambella, Federico Torre, Luca Jacopo Pavan, Nicolas Glaichenhaus, Sabrina Sacconi   +13 more
wiley   +1 more source

Time Series. Prediction

, 1995
The Thesis is the dissertation for Licensed in Informatics Degree. The thesis threat the subject of time series from point of view of decomposing the knowledge from a time series into trend, ciclicity, and periodicity. All this components are modeled separately and a software application embeds all thee in a compact ensamble. The application is useful
openaire   +1 more source

Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong, Min‐Hee Lee, Hiroshi Uda, Yoon Ho Hwang, Michael Behen, Aimee Luat, Csaba Juhász, Eishi Asano   +7 more
wiley   +1 more source