Results 61 to 70 of about 579,977 (276)

Danger Invariants [PDF]

open access: yes, 2016
Static analysers search for overapproximating proofs of safety commonly known as safety invariants. Conversely, static bug finders (e.g. Bounded Model Checking) give evidence for the failure of an assertion in the form of a counterexample trace. As opposed to safety invariants, the size of a counterexample is dependent on the depth of the bug, i.e ...
Cristina David   +3 more
openaire   +5 more sources

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein   +7 more
wiley   +1 more source

Teacher self-efficacy: development, validity, and factorial invariance of a brief measure in Peruvian university professors

open access: yesFrontiers in Education, 2023
IntroductionTeacher self-efficacy is understood as the set of beliefs regarding teachers’ ability to exercise their role and have a positive effect on the learning of their students.
Susana K. Lingán-Huamán   +5 more
doaj   +1 more source

Invariance under twisting for crossed products [PDF]

open access: yes, 2010
We prove a result of the type ''invariance under twisting'' for Brzezinski's crossed products, as a common generalization of the invariance under twisting for twisted tensor products of algebras and the invariance under twisting for quasi-Hopf smash ...
Panaite, Florin
core  

Monocyte LOXHD1 and RHOB Expression Predictive of Progressive Systemic Sclerosis–Associated Interstitial Lung Disease

open access: yesArthritis Care &Research, EarlyView.
Objective A leading cause of death among patients with scleroderma (SSc), interstitial lung disease (ILD) remains challenging to prognosticate. The discovery of biomarkers that accurately determine which patients would benefit from close monitoring and aggressive therapy would be an essential clinical tool.
Cristina M. Padilla   +13 more
wiley   +1 more source

A unifying causal framework for analyzing dataset shift-stable learning algorithms

open access: yesJournal of Causal Inference, 2022
Recent interest in the external validity of prediction models (i.e., the problem of different train and test distributions, known as dataset shift) has produced many methods for finding predictive distributions that are invariant to dataset shifts and ...
Subbaswamy Adarsh   +2 more
doaj   +1 more source

Invariant means

open access: yesJournal of Mathematical Analysis and Applications, 2002
Submitted for publication-20 pages.
openaire   +2 more sources

Differential Item Functioning on the Patient Health Questionnaire‐8 by Disease Subtype, Language, Sex, and Age among People with Systemic Sclerosis: A Scleroderma Patient‐centered Intervention Network Cohort Study

open access: yesArthritis Care &Research, Accepted Article.
Objective Somatic items used in depression assessments can potentially overlap with symptoms related to physical illness, including systemic sclerosis (SSc). No studies have looked at whether somatic depression items may be influenced by diffuse versus limited SSc disease subtypes, which are associated with varying degrees of symptom presentation.
Sophie Hu   +109 more
wiley   +1 more source

From dynamical scaling to local scale-invariance: a tutorial

open access: yes, 2016
Dynamical scaling arises naturally in various many-body systems far from equilibrium. After a short historical overview, the elements of possible extensions of dynamical scaling to a local scale-invariance will be introduced.
A. Einstein   +75 more
core   +3 more sources

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

open access: yesInternational Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam   +2 more
wiley   +1 more source

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