Results 41 to 50 of about 1,423,030 (279)
Parameter Estimation in a Noisy 1D Environment via Two Absorbing Receivers
, 2020 This paper investigates the estimation of different parameters, e.g., propagation distance and flow velocity, by utilizing two fully-absorbing receivers (RXs) in a one-dimensional (1D) environment. The time-varying number of absorbed molecules at each RX
Fang, Yuting +3 more
core +1 more source
Assessing the similarity of dose response and target doses in two non-overlapping subgroups [PDF]
, 2017 We consider two problems that are attracting increasing attention in clinical dose finding studies. First, we assess the similarity of two non-linear regression models for two non-overlapping subgroups of patients over a restricted covariate space.
Bretz, Frank +4 more
core +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Pulmonary dysfunction and sleep abnormalities are common in children with sickle cell disease (SCD) and are associated with worse clinical outcomes. Whether spirometry abnormalities are associated with polysomnography (PSG) findings remains unclear.
Ammar Saadoon Alishlash +4 more
wiley +1 more source
Sensor Fault Detection for LPV Systems Using Interval Observers
IEEE AccessThis paper presents an approach for design a continuous-time interval observer for linear parameter varying (LPV) systems in the presence of disturbances that are considered unknown but bounded.
Jorge Yusef Colin-Castillo +6 more
doaj +1 more source
Application of interval state estimation in vehicle control
Alexandria Engineering Journal, 2022 This paper mainly attempts to design an interval observer for vehicle dynamic system, and make interval observation of the state for moving vehicles. For this purpose, a novel robust estimation method was introduced to apply interval state estimation in ...
Zhaoxia Huang
doaj +1 more source
, 2011 We have made a Markov Chain Monte Carlo (MCMC) analysis of primordial non-Gaussianity (f_NL) using the WMAP bispectrum and power spectrum. In our analysis, we have simultaneously constrained f_NL and cosmological parameters so that the uncertainties of ...
Kim, Jaiseung
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim +8 more
wiley +1 more source
Prediction Research of Water Demand Probability Interval in Liuzhou City Based on BP Neural Network
Renmin Zhujiang, 2021 Water demand prediction is of great importance for regional water resources planning.In this paper,BP neural network is primarily applied to predict the water demand of Liuzhou in 2020 and 2025,and then 100 groups of forecast results are selected for ...
ZHANG Zhibo
doaj
A Novel Joint TDOA/FDOA Passive Localization Scheme Using Interval Intersection Algorithm
Information, 2021 Due to the large measurement error in the practical non-cooperative scene, the passive localization algorithms based on traditional numerical calculation using time difference of arrival (TDOA) and frequency difference of arrival (FDOA) often have no ...
Lingyu Ai +5 more
doaj +1 more source
Inpatient Food Insecurity and Pediatric Hematology Oncology Hospitalization Outcomes
Pediatric Blood &Cancer, EarlyView.ABSTRACT Children with cancer and blood disorders are at risk for food insecurity (FI). We aimed to describe the association of inpatient food insecurity (IFI) and hospitalization outcomes among patients admitted to the pediatric hematology oncology service. Of 325 caregivers screened for IFI, 60 (18.6%) screened positive.
Joanna M. Robles +4 more
wiley +1 more source