Results 211 to 220 of about 55,214 (248)

PPO‐Based Reinforcement Learning for the Semi‐Active Vibration Control of MDOF Platform

AI &Innovation, EarlyView.
ABSTRACT Aiming at the coupled vibration problem of a multi‐degree‐of‐freedom (MDOF) vibration isolation platform under eccentric excitation, this paper proposes a semi‐active vibration control strategy based on Proximal Policy Optimization (PPO) ‐based reinforcement learning (PPO RL).
Wei Huang, Jian Xu
wiley   +1 more source

Redistributive land reforms, agricultural productivity, and structural change: New cross‐national evidence

American Journal of Agricultural Economics, EarlyView.
Abstract Large‐scale land reforms constitute a substantial redistribution of wealth and reallocation of agricultural land, which is a major form of asset and production input in developing countries. While land redistribution (from the rich to the poor) remains a highly controversial issue, extensive evidence on its effect is limited.
Devashish Mitra, Abdulaziz B. Shifa, Lan Anh Tong, Mehmet A. Ulubasoglu   +3 more
wiley   +1 more source

How does the Kids SIPsmartER program impact the sugar‐sweetened beverage intake of students: An investigation beyond total treatment effect in randomized controlled trial

American Journal of Agricultural Economics, EarlyView.
Abstract This study develops and empirically estimates a structural framework to decompose the causal pathways of multilevel behavioral interventions targeting adolescent health behaviors. We apply this framework to the Kids SIPsmartER (KSS) program, a 6‐month, school‐based intervention evaluated through a clustered randomized controlled trial in rural
Naveen Abedin, Wen You, Annie Reid, Kathleen Porter, Brittany Kirkpatrick, Jamie Zoellner   +5 more
wiley   +1 more source

Choice experiments on land managers' participation in environmental programs: A systematic review and meta‐analysis of estimate validity

American Journal of Agricultural Economics, EarlyView.
Abstract Discrete choice experiments are increasingly being used to estimate land managers' willingness to accept participation in incentive‐based environmental programs. This is a specific application of discrete choice experiments: the estimation of willingness to accept for a private good (program participation) where respondents have to make trade ...
Anastasio J. Villanueva, Angel Perni, Jesus Barreiro‐Hurle   +2 more
wiley   +1 more source

Introducing AI & Innovation

AI &Innovation, EarlyView.
Mirko Farina, Xiao Yu, Rongrong Ji, Chen Jin, Vincent Blok, Paolo Ciancarini, Ngcaweni Busani, Witold Pedrycz   +7 more
wiley   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Cognitive bias modification: A review of meta-analyses

Journal of Affective Disorders, 2017
Cognitive bias modification (CBM) is a novel, but controversial intervention with considerable divergence amongst conclusions in individual studies and reviews. This systematic review synthesizes meta-analyses of CBM to determine whether CBM is effective, and what parameters most reliably evoke the process of CBM.A systematic literature search resulted
Louise Sharpe
exaly   +3 more sources

Cognitive bias modification of inferential flexibility

Behaviour Research and Therapy, 2022
This research examines the effects of a cognitive bias modification procedure for facilitating inferential flexibility, on inferences, mood, and state rumination. Participants were presented with training scenarios, followed by two consecutive inferences for each scenario.
Baruch Perlman, Nilly Mor
openaire   +2 more sources

Modifying insecure attachment style with cognitive bias modification

Journal of Behavior Therapy and Experimental Psychiatry, 2021
Attachment theory suggests that internal working models developed from early experiences with attachment figures biases cognitive appraisals a person makes of themselves and others. The current paper investigates whether attachment-related interpretative biases can be altered using Cognitive Bias Modification (CBM-I).Eighty anxiously attached ...
Emma L, Doolan, Richard A, Bryant
openaire   +2 more sources

Cognitive bias modification for inferential style

Cognition and Emotion, 2018
In this study, we developed a cognitive bias modification procedure that targets inferential style, and tested its effect on hope, mood, and self-esteem. Participants were randomly assigned to training conditions intended to encourage either a negative or a positive inferential style.
Noa, Avirbach, Baruch, Perlman, Nilly, Mor   +2 more
openaire   +2 more sources

Cognitive Bias Modification Approaches to Anxiety

Annual Review of Clinical Psychology, 2012
Clinical anxiety disorders and elevated levels of anxiety vulnerability are characterized by cognitive biases, and this processing selectivity has been implicated in theoretical accounts of these conditions. We review research that has sought to evaluate the causal contributions such biases make to anxiety dysfunction and to therapeutically alleviate ...
Colin, MacLeod, Andrew, Mathews
openaire   +2 more sources