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1,051 results on '"Yu, Xiaodan"'

115. Neural Correlates of Quantity Processing of Numeral Classifiers

Author

Cui, Jiaxin, Yu, Xiaodan, Yang, Hong, Chen, Chuansheng, Liang, Peipeng, and Zhou, Xinlin

Subjects
Biological Psychology, Cognitive and Computational Psychology, Psychology, Applied and Developmental Psychology, Neurosciences, Adult, Female, Humans, Magnetic Resonance Imaging, Male, Mathematical Concepts, Parietal Lobe, Semantics, numerical processing, functional MRI, intraparietal sulcus, numeral classifiers, Cognitive Sciences, Experimental Psychology, Biological psychology, Cognitive and computational psychology
Abstract

ObjectiveClassifiers play an important role in describing the quantity information of objects. Few studies have been conducted to investigate the brain organization for quantity processing of classifiers. In the current study, we investigated whether activation of numeral classifiers was specific to the bilateral inferior parietal areas, which are believed to process numerical magnitude.MethodUsing functional MRI, we explored the neural correlates of numeral classifiers, as compared with those of numbers, dot arrays, and nonquantity words (i.e., tool nouns).ResultsOur results showed that numeral classifiers and tool nouns elicited greater activation in the left inferior frontal lobule and left middle temporal gyrus than did numbers and dot arrays, but numbers and dot arrays had greater activation in the middle frontal gyrus, precuneus, and the superior and inferior parietal lobule in the right hemisphere. No differences were found between numeral classifiers and tool nouns.ConclusionThe results suggest that quantity processing of numeral classifiers is independent of that of numbers and dot arrays, supporting the notation-dependent hypothesis of quantity processing.

Published
2013

121. Dissociation of subtraction and multiplication in the right parietal cortex: Evidence from intraoperative cortical electrostimulation

Author

Yu, Xiaodan, Chen, Chuansheng, Pu, Song, Wu, Chenxing, Li, Yongnian, Jiang, Tao, and Zhou, Xinlin

Subjects
Biological Psychology, Cognitive and Computational Psychology, Psychology, Applied and Developmental Psychology, Neurosciences, Adult, Brain Mapping, Cognition, Dominance, Cerebral, Electric Stimulation, Glioma, Humans, Intraoperative Period, Magnetic Resonance Imaging, Male, Mathematics, Neuropsychological Tests, Parietal Lobe, Temporal Lobe, Numerical processing, Intraoperative cortical electrical stimulation, Cognitive arithmetic, Cognitive Sciences, Experimental Psychology, Biological psychology, Cognitive and computational psychology
Abstract

Previous research has consistently shown that the left parietal cortex is critical for numerical processing, but the role of the right parietal lobe has been much less clear. This study used the intraoperative cortical electrical stimulation approach to investigate neural dissociation in the right parietal cortex for subtraction and multiplication. Results showed that multiplication (as well as picture naming) was not affected by the cortical electrical stimulation on all the targeted sites of the right parietal cortex as well as those of the right temporal cortex. In contrast, stimulation at three right parietal sites (two sites in the right inferior parietal lobule and one in the right angular gyrus) impaired performance on simple subtraction problems. This study provided the first evidence from an intraoperative cortical electrical stimulation study to show the dissociation of arithmetic operations in the right parietal cortex. This dissociation between subtraction and multiplication suggests that the right parietal cortex plays a more significant role in quantity processing (subtraction) than in verbal processing (multiplication) in numerical processing.

Published
2011

122. A Multi-Objective Stochastic Optimization Approach for Planning a Multi-Energy Microgrid Considering Unscheduled Islanded Operation

Author

Cao, Yan, Mu, Yunfei, Jia, Hongjie, Yu, Xiaodan, Hou, Kai, and Wang, Huiyuan

Abstract

The multi-energy microgrid (MEMG) improves the energy supply economy through a multi-energy coupling operation. However, due to faults or maintenance, outages may occur in the main grid, forcing the MEMG switch to the islanded mode, which heavily impacts the energy supply reliability. To solve this problem, a multi-objective stochastic optimization approach for planning the MEMG considering unscheduled islanded operation is proposed in this paper. This method aims to optimize the planning decision, improve the operation economy in the grid-connected mode and enhance the energy supply reliability in the islanded mode. A planning-operation co-optimization model is established with two objective functions: the minimum total planning cost and the minimum expected economic loss caused by islanded operation. The model incorporates equipment capacity allocation constraints, operation constraints in two operation modes and load curtailment constraints in the islanded mode. In addition to considering the uncertainties of load and renewable energy, the model of the uncertain islanded mode is established using four correlated random variables, and the scenario tree is used for islanded scenario generation. The adaptive weighted sum (AWS) method is used to solve the multi-objective model and obtain an optimal and evenly distributed Pareto frontier. On this basis, the technique for order preference by similarity to an ideal solution (TOPSIS) is employed to determine the final planning scheme. Numerical results illustrate the effectiveness of the proposed method, which makes a trade-off between planning economy and energy supply reliability.

Published
2024
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