Results 61 to 70 of about 729,681 (329)
Cross-Cultural Questionnaires and the Necessity of Using Native Translators: A Croatian-Swedish Case
Psychological Topics, 2020 In this paper, we discuss problems of comparing two European cultures in a study of emotional intelligence by relying on traditional back translation of the questionnaire and the scales used in the study (Holmström, Molander, & Takšić, 2008; Molander,
Bo Molander +2 more
doaj
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi +2 more
wiley +1 more source
SLAP: A Split Latency Adaptive VLIW pipeline architecture which enables\n on-the-fly variable SIMD vector-length [PDF]
, 2021 Ashish Shrivastava +4 more
openalex +1 more source
Gaussian Process Structural Equation Models with Latent Variables [PDF]
, 2010 In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by some causal structure.
Gramacy, Robert B., Silva, Ricardo
core +1 more source
Deep Recurrent Generative Decoder for Abstractive Text Summarization
, 2017 We propose a new framework for abstractive text summarization based on a sequence-to-sequence oriented encoder-decoder model equipped with a deep recurrent generative decoder (DRGN).
Bing, Lidong +3 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The Gold Coast criteria permit diagnosis of amyotrophic lateral sclerosis (ALS) even without upper motor neuron (UMN) signs. However, whether ALS patients with UMN signs (ALSwUMN) and those without (ALSwoUMN) share similar characteristics and prognoses remains unclear.
Hee‐Jae Jung +7 more
wiley +1 more source
Accuracy of Latent-Variable Estimation in Bayesian Semi-Supervised Learning [PDF]
, 2015 Hierarchical probabilistic models, such as Gaussian mixture models, are widely used for unsupervised learning tasks. These models consist of observable and latent variables, which represent the observable data and the underlying data-generation process ...
Yamazaki, Keisuke
core
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
Scoring ordinal variables for constructing composite indicators
Statistica, 2013 In order to provide composite indicators of latent variables, for example of customer satisfaction, it is opportune to identify the structure of the latent variable, in terms of the assignment of items to the subscales defining the latent variable ...
Marica Manisera
doaj +1 more source
The Inflation Technique for Causal Inference with Latent Variables
, 2019 The problem of causal inference is to determine if a given probability distribution on observed variables is compatible with some causal structure. The difficult case is when the causal structure includes latent variables.
Fritz, Tobias +2 more
core +1 more source