Results 131 to 140 of about 8,125 (267)

How important are quantum mechanical effects in controlling biological functions: Enzymes, electron transfer and bird navigation

open access: yesProtein Science, Volume 35, Issue 7, July 2026.
Abstract In light of the centennial of the Schrödinger equation, this article addresses the popular idea that quantum mechanical effects play an important role in biological systems. We start by defining what is qualified as a quantum effect. We then clarify the idea that quantum mechanical tunneling is a crucial factor in enzyme catalysis.
Aoxuan Zhang, Arieh Warshel
wiley   +1 more source

Impulses And Stochastic Arithmetic For Signal Processing

open access: yes, 2001
The work described in this paper explores the use of Poisson point processes and stochastic arithmetic to perform signal processing functions. Our work is inspired by the asynchrony and fault tolerance of biological neural systems.
Les E. Atlas, John F. Keane
core  

Socioeconomic gaps in the allocation of curriculum modifications in inclusive mainstream classrooms

open access: yesJournal of Research in Special Educational Needs, Volume 26, Issue 3, July 2026.
Abstract Differentiation is a widely established approach to addressing heterogeneity in students' learning needs and prerequisites in inclusive mainstream classrooms. While differentiation has been extensively studied regarding its implementation and effectiveness, aspects of social selectivity in these practices remain underexplored.
Robin Benz   +2 more
wiley   +1 more source

Assessing Basis Risk in Margin Insurance for Beef Cattle Farming in Brazil

open access: yesAgricultural Economics, Volume 57, Issue 4, July 2026.
ABSTRACT Price volatility in agricultural markets directly affects the financial viability of rural producers, particularly in sectors characterized by narrow profit margins and long production cycles, such as beef cattle production. Futures contracts and agricultural insurance are commonly used to mitigate this risk; however, both instruments are ...
Beatriz Salandin Dal Pozzo   +1 more
wiley   +1 more source

Novel hybrid arithmetic-equilibrium optimizer as robust tuner for power system stabilizer (PSS) parameters in interconnected electrical power system

open access: yese-Prime: Advances in Electrical Engineering, Electronics and Energy
Nowadays, the metaheuristic approaches become popular in the optimal tuning parameters of power system controllers, especially Power System Stabilizers (PSS).
Imam Robandi   +5 more
doaj   +1 more source

What if the expected is not the most likely outcome? Four examples giving pause for thought and reconsideration

open access: yesEconomica, Volume 93, Issue 371, Page 839-862, July 2026.
Abstract The foundational nature of expectations‐based theories and the prominence of symmetric unimodal stochastic assumptions in economic research render the expected outcome the go to locational focus throughout its many realms. When symmetric unimodality prevails, expected and most likely outcomes are identical; however, when it does not, they are ...
Gordon Anderson
wiley   +1 more source

Some new classes of stochastic order relations among arithmetic random variables, with applications in actuarial sciences

open access: yes, 1997
Recently, Fishbum and Lavalle (1995) and Lefèvre and Utev (1996) have considered some stochastic order relations specific for arithmetic random variables.
Denuit, Michel, Lefèvre, Claude
core   +1 more source

Automated Bandwidth Selection for Inference in Linear Models With Time‐Varying Coefficients

open access: yesJournal of Time Series Analysis, Volume 47, Issue 4, Page 854-875, July 2026.
ABSTRACT The problem of selecting the smoothing parameter, or bandwidth, for kernel‐based estimators of time‐varying coefficients in linear models with possibly endogenous explanatory variables is considered. We examine automated bandwidth selection by means of cross‐validation, a nonparametric variant of Akaike's information criterion, and bootstrap ...
Charisios Grivas, Zacharias Psaradakis
wiley   +1 more source

Random Function Iterations for Stochastic Fixed Point Problems

open access: yes, 2023
We study the convergence of random function iterations for finding an invariant measure of the corresponding Markov operator. We call the problem of finding such an invariant measure the stochastic fixed point problem.
Hermer, Neal   +2 more
core  

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