A single-subject ABA-design was used to compare the effectiveness of DRI with that of the differential reinforcement of other behaviour (DRO). DRI reduced stereotyped behaviour to near zero levels for all the people studied, whereas DRO produced such a reduction in only one person, the one ...
The least-restrictive-alternative guideline for providing treatment emphasizes the use of non-aversive procedures to reduce maladaptive behaviors in individuals with intellectual disability (ID). Differential reinforcement (DR) is an excellent example of such a non-aversive, reinforcement based behavioral ...
The effectiveness of differential reinforcement of incompatible behaviour (DRI) as a technique for reducing stereotyped behaviour was investigated in a study of two young men and two teenage boys with mental handicaps who showed high rates of stereotyped behaviour. A single-subject ABA-design was used...
In order to study the plant response to this parasitic plant and the molecular basis of the resistance we have used a proteomic approach. The root proteome of two accessions of the model legumeMedicago truncatuladisplaying differences in their resistance phenotype, in control as well as in inoculat...
Wall hydrolysis is an important component that enables separation of the abscising organ while cell wall reinforcement is needed to protect the tissue exposed after organ separation. In keeping with the complexity of the cell wall, 55 DEGs involved in biosynthesis and modification of cell wall compo...
In this work, we aim to preserve the privacy of the data used in deep reinforcement learning with Double Deep-Q-Network in continuous space by adopting the differentially private SGD method to inject a noise to the gradient. In our experiment, we used a different amount of noise on two ...
5. Equivalent amounts of reinforcement in baseline and experimental conditions with baseline reinforcement given non-contingently at regular intervals or randomly throughout the phase (Foxx and Azrin, 1973; Baer and Wolf, 1970). Baer and Wolf (1970) have stated that: 'Non-contingent reinforcement ...
In addition, we will investigate how to combine TopkSDP-FL with machine learning paradigms such as migration learning and reinforcement learning to address more complex application scenarios. Author Contributions Conceptualization, D.X. and X.F.; Methodology, X.F. and L.C.; Writing—original ...
In addition, we will investigate how to combine TopkSDP-FL with machine learning paradigms such as migration learning and reinforcement learning to address more complex application scenarios. Author Contributions Conceptualization, D.X. and X.F.; Methodology, X.F. and L.C.; Writing—original ...