Results 41 to 50 of about 2,389,074 (237)
Stack LSTM-Based User Identification Using Smart Shoes with Accelerometer Data
Sensors, 2021 In this study, we propose a long short-term memory (LSTM)-based user identification method using accelerometer data from smart shoes. In general, for the user identification with human walking data, we require a pre-processing stage in order to divide ...
Do-Yun Kim +2 more
doaj +1 more source
Identification of individual demands from market data under uncertainty [PDF]
, 2008 We show that, even under incomplete markets, the equilibrium manifold identifies individual demands everywhere in their domains. Under partial observation of the manifold, we determine maximal subsets of the domains on which identification holds.
Carvajal, Andrés M., Riascos, Alvaro
core +1 more source
An online parameter identification method for time dependent partial differential equations
, 2015 Online parameter identification is of importance, e.g., for model predictive control. Since the parameters have to be identified simultaneously to the process of the modeled system, dynamical update laws are used for state and parameter estimates.
Boiger, Romana, Kaltenbacher, Barbara
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background An international Delphi panel of experts developed consensus statements to delineate the circumstances where the risks of dexamethasone as an antiemetic do and do not outweigh its benefits. Procedure Experts in supportive care of pediatric patients were invited to participate.
Negar Shavandi +20 more
wiley +1 more source
A web tool for the global identification of pig breeds
Genetics Selection Evolution, 2023 Background Natural and artificial selection for more than 9000 years have led to a variety of domestic pig breeds. Accurate identification of pig breeds is important for breed conservation, sustainable breeding, pork traceability, and local resource ...
Jian Miao +6 more
doaj +1 more source
A Bayesian partial identification approach to inferring the prevalence of accounting misconduct [PDF]
, 2015 This paper describes the use of flexible Bayesian regression models for estimating a partially identified probability function. Our approach permits efficient sensitivity analysis concerning the posterior impact of priors on the partially identified ...
Hahn, P. Richard +2 more
core +3 more sources
Clinical Insights Into Hypercalcemia of Malignancy in Childhood
Pediatric Blood &Cancer, EarlyView.ABSTRACT Hypercalcemia of malignancy (HCM) is a rare but life‐threatening metabolic emergency in children that occurs in less than 1% of pediatric cancer cases, with a reported incidence ranging from 0.4% to 1.0% across different studies. While it is observed in 10%–20% of adult malignancies, pediatric HCM remains relatively uncommon.
Hüseyin Anıl Korkmaz
wiley +1 more source
On Partial Identification of the Pure Direct Effect [PDF]
, 2015 In causal mediation analysis, nonparametric identification of the pure (natural) direct effect typically relies on, in addition to no unobserved pre-exposure confounding, fundamental assumptions of (i) so-called "cross-world-counterfactuals" independence
Kanki, Phyllis +3 more
core +3 more sources
Partial Identification of Latent Correlations with Binary Data [PDF]
Psychometrika, 2020 The tetrachoric correlation is a popular measure of association for binary data and estimates the correlation of an underlying normal latent vector. However, when the underlying vector is not normal, the tetrachoric correlation will be different from the underlying correlation.
Steffen Grønneberg +2 more
openaire +5 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács +8 more
wiley +1 more source