Results 61 to 70 of about 108,153 (267)
Advanced Science, EarlyView.SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio +6 more
wiley +1 more source
CoRR, 2019 To draw scientifically meaningful conclusions and build reliable models of quantitative phenomena, cause and effect must be taken into consideration (either implicitly or explicitly). This is particularly challenging when the measurements are not from controlled experimental (interventional) settings, since cause and effect can be obscured by spurious,
Max A. Little, Reham Badawy
openaire +2 more sources
Instantaneous Frequency Estimation Using Stochastic Calculus and Bootstrapping
EURASIP Journal on Advances in Signal Processing, 2005 Stochastic calculus methods are used to estimate the instantaneous frequency of a signal. The frequency is modeled as a polynomial in time. It is assumed that the phase has a Brownian-motion component. Using stochastic calculus, one is able to develop a
Abutaleb A
doaj +1 more source
International Journal of Occupational Medicine and Environmental Health, 2013 Introduction: The purpose of this study was to analyze the role of general and occupational stress in the relationship between workaholism (recognized in two ways: as addiction and as behavioral tendency) and the intensity of work-family and familywork ...
Mateusz Hauk, Jan Chodkiewicz
doaj +1 more source
Advanced Science, EarlyView.Correcting the apparent priming effect resolves systematic biases in Asian rice fertilizer nitrogen accounting. Net soil retention drops below 7%, while 48% of fertilizer escapes, inflicting US$98.53 billion in annual reactive‐nitrogen damages. High‐resolution mapping uncovers N‐risk archetypes across 42% of the rice area, delivering a spatially ...
Xiuyun Liu +5 more
wiley +1 more source
Bootstrapping Neural Networks [PDF]
Neural Computation, 2000 Knowledge about the distribution of a statistical estimator is important for various purposes, such as the construction of confidence intervals for model parameters or the determination of critical values of tests. A widely used method to estimate this distribution is the so-called bootstrap, which is based on an imitation of the probabilistic ...
Franke, Jürgen, Neumann, Michael
openaire +3 more sources
Advanced Science, EarlyView.An integrative single‐cell atlas across multiple metabolic diseases reveals coordinated metabolic modules and disease‐shared versus disease‐specific pathway activities. By systematically comparing scoring strategies, a robust RankAve framework is established. Coupled with network analysis and drug‐target prediction, this resource uncovers cross‐disease
Kuan Yang +10 more
wiley +1 more source
The Annals of Statistics, 2015 The authors introduce a new concept of a bootstrap method, denoted numerical bootstrap, intended to be an alternative to the commonly used \(m\)-out-of-\(n\) bootstrap mostly in cases where the standard bootstrap fails. After introducing the numerical bootstrap method, they compare it with the \(m\)-out-of-\(n\) bootstrap and subsampling and show a ...
Hong, Han, Li, Jessie
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Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature
Advanced Science, EarlyView.A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo +14 more
wiley +1 more source
CoRR, 2015 The monolithic approach to policy representation in Markov Decision Processes (MDPs) looks for a single policy that can be represented as a function from states to actions. For the monolithic approach to succeed (and this is not always possible), a complex feature representation is often necessary since the policy is a complex object that has to ...
Daniel J. Mankowitz +2 more
openaire +2 more sources