Results 91 to 100 of about 2,528,480 (312)

A Robbins-Monro type learning algorithm for an entropy maximizing version of stochastic Optimality Theory

open access: yes, 2005
The object of the present work is the analysis of the convergence behaviour of a learning algorithm for grammars belonging to a special version -- the maximum entropy version -- of stochastic Optimality Theory.
Fischer, Markus
core   +1 more source

Optimality Conditions and Stability Analysis for the Second-Order Cone Constrained Variational Inequalities

open access: yesAxioms
In this paper, we study the optimality conditions and perform a stability analysis for the second-order cone constrained variational inequalities (SOCCVI) problem.
Li Wang   +4 more
doaj   +1 more source

Regularity Conditions for Non-Differentiable Infinite Programming Problems using Michel-Penot Subdifferential [PDF]

open access: yesControl and Optimization in Applied Mathematics, 2016
In this paper we study optimization problems with infinite many inequality constraints on a Banach space where the objective function and the binding constraints are locally Lipschitz.
Nader Kanzi
doaj  

Golgi enzymes are retrieved from the plasma membrane to the trans‐Golgi network

open access: yesFEBS Letters, EarlyView.
Golgi enzymes are traditionally considered resident proteins retained within the Golgi apparatus. Here, we demonstrate that a subset transiently reaches the cell surface and is subsequently retrieved to the trans‐Golgi network via retrograde transport. Using a nanobody‐based toolkit, we uncover a dynamic trafficking cycle of several Golgi enzymes.
Dominik P. Buser, Tina Junne
wiley   +1 more source

Autosegmental spreading in optimality theory

open access: yes, 2011
This paper is a shorter version of ROA-1009 'Harmony in harmonic serialism'. Some material is omitted, but the overall presentation is probably clearer.The publisher of the book in which this excerpt appears does not permit the archiving of this or any ...

core  

On optimality and duality in nonsmooth vector fractional continuous-time programming: Strengthened conditions for mixed-affine models [PDF]

open access: yesTheoretical and Applied Mechanics
We investigate a nonsmooth vector fractional continuous-time programming problem with inequality-type phase constraints, motivated by applied-mechanics contexts in which performance is quantified by ratio-type, time-accumulated indices under pointwise-in-
Jović Aleksandar
doaj   +1 more source

Partial depletion of plasminogen activator inhibitor‐1 decreases subcutaneous fat cell hypertrophy and liver cholesterol in high‐fat‐fed female mice

open access: yesFEBS Letters, EarlyView.
Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante   +10 more
wiley   +1 more source

A Practical Optimality Condition Without Constraint

open access: yes, 1999
A new optimality condition for minimization with general constraints is introduced. Unlike the KKT conditions, this condition is satisfied by local minimizers of nonlinear programming problems, independently of constraint qualifications.
Qualifications For Nonlinear   +1 more
core  

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

open access: yesFEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri   +5 more
wiley   +1 more source

Computing Optimal Forms in Optimality Theory: Basic Syllabification

open access: yes, 1995
In Optimality Theory, grammaticality is defined in terms of optimization over a large (often infinite) space of candidates. This raises the question of how grammatical forms might be computed.

core   +1 more source

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