Results 31 to 40 of about 15,100,752 (291)
Enhancing wind speed forecasting accuracy using a GWO-nested CEEMDAN-CNN-BiLSTM model
This study introduces an advanced artificial model, grey wolf optimization (GWO)-nested complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN)-convolutional neural network (CNN)-bidirectional long short-term memory (BiLSTM), for ...
Quoc Bao Phan, Tuy Tan Nguyen
doaj +1 more source
IGF2 knockout reduces but does not abolish osteosarcoma growth in vitro and in vivo
To test whether endogenous IGF2 promotes osteosarcoma growth, IGF2 was knocked out in Saos2 cells via CRISPR‐Cas9. KO cells showed reduced proliferation in vitro, and knockout xenografts in mice reached only ~25% of wild‐type tumor volume. Insulin‐like growth factor 2 (IGF2) is implicated in osteosarcoma, but direct functional evidence of its role is ...
Shun Yao, Marco Archetti
wiley +1 more source
Joint tests of non-nested models and general error specifications [PDF]
This paper is concerned with joint tests of non-nested models and simultaneous departures from homoskedasticity, serial independence and normality of the disturbance terms. Locally equivalent alternative models are used to construct joint tests since they provide a convenient way to incorporate more than one type of departure from the classical ...
Anil K. Bera +3 more
openaire +1 more source
TEMAP2.R: True and Error model analysis program in R [PDF]
True and Error Theory (TET) provides a method to separate the variability of behavior into components due to changing true policy and to random error. TET is a testable theory that can serve as a statistical model, allowing one to evaluate substantive ...
Michael H. Birnbaum +1 more
doaj +3 more sources
ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng +4 more
wiley +1 more source
WaterLynn/Bayesian-Nested-Patch-Occupancy-Model: Bayes PIT Tag Model for Ecol. App. Manuscript
Code for Waterhouse, L., J. White, K. See, A. Murdoch, B. Semmens, (2020). A Bayesian nested patch occupancy model to estimate steelhead movement and abundance.
Lynn Waterhouse
core +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
Multilevel IRT Modeling in Practice with the Package mlirt
Variance component models are generally accepted for the analysis of hierarchical structured data. A shortcoming is that outcome variables are still treated as measured without an error.
Jean-Paul Fox
doaj
Fuzzy Control for PVTOL Stabilization Based on Nested Saturation Functions
In this paper, a new approach for stabilization of the PVTOL is presented, considering the Nested Saturation Controller (NSC) algorithm that has been designed based on the Lyapunov theory for stabilization problem of this mechanical system.
David Lara Alabazares +3 more
doaj +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source

