Results 41 to 50 of about 384,701 (284)

Mirror Descent and Convex Optimization Problems With Non-Smooth Inequality Constraints

open access: yes, 2018
We consider the problem of minimization of a convex function on a simple set with convex non-smooth inequality constraint and describe first-order methods to solve such problems in different situations: smooth or non-smooth objective function; convex or ...
A Beck   +16 more
core   +1 more source

Randomised rules for stopping problems [PDF]

open access: yesJournal of Applied Probability, 2020
AbstractIn a classical, continuous-time, optimal stopping problem, the agent chooses the best time to stop a stochastic process in order to maximise the expected discounted return. The agent can choose when to stop, and if at any moment they decide to stop, stopping occurs immediately with probability one.
Hobson, David (David G.), Zeng, Matthew
openaire   +2 more sources

Tau acetylation at K331 has limited impact on tau pathology in vivo

open access: yesFEBS Letters, EarlyView.
We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto   +3 more
wiley   +1 more source

APPROXIMATION TO THE USE OF AN OPTIMAL STOPPING RULE FOR COHERENT SYSTEMS

open access: yesRevista de la Facultad de Ciencias, 2015
In this paper  is introduced some applications of the optimal stopping rule known as ILA rule (Infinitesimal Look Ahead rule) in solving optimization problems in maintenance, burn-in and guarantees processes on coherent systems observed at the level of ...
Nelfi Gertrudis González-Alvarez
doaj   +1 more source

Frequentist Evaluation of Group Sequential Clinical Trial Designs [PDF]

open access: yes, 2005
Group sequential stopping rules are often used as guidelines in the monitoring of clinical trials in order to address the ethical and efficiency issues inherent in human testing of a new treatment or preventive agent for disease. Such stopping rules have
Emerson, Scott S.   +2 more
core   +1 more source

AAA+ protein unfoldases—the Moirai of the proteome

open access: yesFEBS Letters, EarlyView.
AAA+ unfoldases are essential molecular motors that power protein degradation and disaggregation. This review integrates recent cryo‐electron microscopy (cryo‐EM) structures and single‐molecule biophysical data to reconcile competing models of substrate translocation.
Stavros Azinas, Marta Carroni
wiley   +1 more source

A Steepest Ascent Analysis Based on an Experimental Approach for the Hardening Process of a Steel Alloy

open access: yesMathematics
A significant number of alloyed metals applied for different purposes are currently available in industry. The hardness of a piece is an important parameter to consider. The tempering process is widely used to change a metal’s hardness, which is obtained
Paulo Eduardo García-Nava   +4 more
doaj   +1 more source

Behaviorally consistent optimal stopping rules [PDF]

open access: yesJournal of Economic Theory, 1990
The authors characterize behaviorally consistent optimal stopping rules in a bounded sequential search model without recalls for searchers whose preferences are nonlinear. They show that the preferences are quasiconvex then the optimal stopping rule has the reservation level property, and that if the preferences are quasiconcave then the optimal ...
Karni, Edi, Safra, Zvi
openaire   +2 more sources

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

open access: yesMolecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice   +16 more
wiley   +1 more source

An Improved Forward Regression Variable Selection Algorithm for High-Dimensional Linear Regression Models

open access: yesIEEE Access, 2020
Variable selection plays an important role in various fields, such as process modeling and process monitoring. It generally involves a large number of predictor variables, usually with the number of predictor variables d much larger than the sample size ...
Yanxi Xie   +3 more
doaj   +1 more source

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