Area:
Developmental Psychology, Educational Psychology Education
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High-probability grants
According to our matching algorithm, Xin Feng is the likely recipient of the following grants.
| Years |
Recipients |
Code |
Title / Keywords |
Matching
score |
| 1993 — 1997 |
Heinen, James (co-PI) [⬀]
Brown, Ronald
Feng, Xin
Arkadan, Abd |
N/AActivity Code Description:
No activity code was retrieved: click on the grant title for more information |
Incorporating Known Plant Characteristics Into Artificial Neural Networks For Dynamic System Identification and Control With Electrically Commutated Machine Applications
The primary emphasis of this project is on the use of artificial neural networks (ANNs) for identification and control of unknown nonlinear dynamic systems. However, generally much is known about the plant. This research involves the use of a "gray layer" which facilitates the integration of known characteristics of the otherwise unknown plant into an ANN. The convergence characteristics using this novel technique are of several orders of magnitude better than the conventional schemes. Both state of the art intelligent control and adaptive control technologies are used, and their application is demonstrated in the context of electrically commutated machines.*** //
|
0.951 |
| 2018 — 2019 |
Feng, Xin |
R21Activity Code Description:
To encourage the development of new research activities in categorical program areas. (Support generally is restricted in level of support and in time.) |
Maternal Depression and the Development of Autobiographical Memory in Children
ABSTRACT Children of depressed mothers are at significant risk for depression and other psychiatric disorders, poor social and emotional adjustment, and increased problem behaviors. Given the significant negative personal and social consequences of depression, it is important to gain an understanding of early risk mechanisms that lead to adverse child outcomes. The proposed study examines the patterns of autobiographical memory retrieval in young children of depressed mothers that may contribute to their vulnerabilities to depression. Although past research has focused on overgeneral autobiographical memory as a potential marker of vulnerability to depression in adults, little is known about how this problematic memory retrieval pattern emerges and develops, and how overgeneral autobiographical memory is related to future problems in children. In the proposed study, 3.5- to 4-year-old children of depressed (n = 60) and nondepressed (n = 60) mothers will be recruited and followed over a 9-month period. We seek to understand 1) how maternal factors (maternal depression, overgeneral autobiographical memory, reminiscing quality) and child factors (self-representation, executive function, and gender) affect children?s autobiographical memory specificity; 2) how children?s overgeneral autobiographical memory predicts early markers of childhood depression; and 3) whether child overgeneral autobiographical memory mediates the link between maternal factors and early markers of childhood depression. Should the goals of this study be met, the findings would be informative to early prevention efforts in reducing the risk for adverse outcomes among children of depressed mothers.
|
0.948 |