Mukara: A deep learning alternative to the four-step travel demand model with a case study on interurban highway traffic prediction in the UK. [PDF]
Li Y, Chen S, Jin Y.
europepmc +1 more source
Early Recognition of Treatment‐Responsive Rapidly Progressive Dementia: The Modified STAM3mP Score
ABSTRACT Early identification of patients with treatment‐responsive rapidly progressive dementia (RPD) is important as early treatment improves outcomes. The STAM3P score identifies treatment‐responsive RPD using “high risk” presenting features. We optimized performance by adding a time component (i.e., dementia within 3 months) and validated the ...
R. W. van Steenhoven +16 more
wiley +1 more source
IRN2Vec: A representation learning model for road network intersections by integrating geospatial attributes and travel behaviors. [PDF]
Yang X.
europepmc +1 more source
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 +11 more
wiley +1 more source
Dual-temporal inflow-outflow dependency modeling for short-term metro outflow prediction. [PDF]
Hu W, Huang Z, Cai J, Zhao X.
europepmc +1 more source
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
Development and simulation of an innovative autonomous knowledge-based smart waste collection system. [PDF]
Abdallah M, Hosny M.
europepmc +1 more source
Data-Driven Travel Time Prediction
Being able to accurately forecast the time of arrival of a vehicle in traffic appeals both to private drivers aiming to keep up with their schedules, and to businesses that need to organize transport logistics. THis thesis is assigned by the Swedish truck manufacturer Scania CV AB, and sets out to use GPS data from Scania's vehicle fleet to train ...
openaire +1 more source
A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi +17 more
wiley +1 more source
Real-time eco-driving strategy for intelligent connected vehicles under mixed traffic environments. [PDF]
Fan L, Cai Y, Zhou B, Wei H, Feng B.
europepmc +1 more source

