Results 91 to 100 of about 21,325,393 (304)
Generalizing Orthogonalization for Models with Non-Linearities
CoRRThe complexity of black-box algorithms can lead to various challenges, including the introduction of biases. These biases present immediate risks in the algorithms' application. It was, for instance, shown that neural networks can deduce racial information solely from a patient's X-ray scan, a task beyond the capability of medical experts. If this fact
Rügamer, David +4 more
openaire +5 more sources
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito +7 more
wiley +1 more source
Crop Breeding and Applied Biotechnology, 2023 This study aimed to apply, in unprecedented depth, a Bayesian approach to the non-linear regression model developed by Toler for evaluating the stability and adaptability of genotypes.
Jocimar Costa Rosa +5 more
doaj
Falsifying cosmological models based on a non-linear electrodynamics
European Physical Journal C: Particles and Fields, 2018 Recently, the nonlinear electrodynamics (NED) has been gaining attention to generate primordial magnetic fields in the Universe and also to resolve singularity problems. Moreover, recent works have shown the crucial role of the NED on the inflation. This
Ali Övgün +3 more
doaj +1 more source
Distributed Lag Linear and Non-Linear Models in R: The Package dlnm [PDF]
Distributed lag non-linear models (DLNMs) represent a modeling framework to flexibly describe associations showing potentially non-linear and delayed effects in time series data. This methodology rests on the definition of a crossbasis , a bi-dimensional
Antonio Gasparrini
core
Non-linear error correction, asymmetric adjustment and cointegration [PDF]
, 1998 This article links the intertemporal choice model with the non-linear error correction (NEC) model. It has three main components. First, it outlines a model of non-linear error correction, in which the linear error correction term ?Xt (the vector time ...
Pfann, Gerard +3 more
core +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Hyperlipidemia is a major risk factor for atherosclerotic cardiovascular disease (ASCVD). Although statins are the cornerstone of lipid‐lowering therapy, their use may be limited in some patients by adverse effects. This study evaluated the possible impact of non‐drug treatment using double‐filtration plasmapheresis (DFPP) on CD14+
Yun Cheng +3 more
wiley +1 more source
Previsão Não-linear de Retornos na BOVESPA: Volume Negociado em um Modelo Auto-Regressivo de Transição Suave [PDF]
RAC: Revista de Administração Contemporânea, 2010 In this study, the predictive power of a logistic smooth transition auto regression model (LSTAR) in generating statistically significant returns is evaluated when the transition variable is trading volume and the lagged return itself, for the São Paulo ...
Robert Aldo Iquiapaza +2 more
doaj
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Instruction Tenapanor potentially affects fluid volume and blood pressure. This study explored its effects on these parameters in patients undergoing peritoneal dialysis (PD). Methods We conducted a single‐arm, prospective observational study that enrolled 10 patients on PD with hyperphosphatemia who were newly initiated on tenapanor.
Shun Yoshida +11 more
wiley +1 more source