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116 results on '"Wang, Xiuyi"'

3. Construction Site Inspection System Based on Panoramic Image Cloud Processing Technology

Author

Wu, Caihui, Wang, Xiuyi, Chen, Bin, Deng, Xiaolu, Duan, Minghua, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Wang, Bing, editor, Hu, Zuojin, editor, Jiang, Xianwei, editor, and Zhang, Yu-Dong, editor

Published
2024
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4. Damage Identification Method of Building Structure Based on Computer Vision

Author

Zhang, Hongyue, Deng, Xiaolu, Zhang, Guoliang, Wang, Xiuyi, Liu, Longshuai, Wang, Hongbing, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Wang, Bing, editor, Hu, Zuojin, editor, Jiang, Xianwei, editor, and Zhang, Yu-Dong, editor

Published
2024
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11. The neural basis of flexibility in semantic memory retrieval

Author

Wang, Xiuyi, Jefferies, Elizabeth, and Smallwood, Jonathan

Subjects
150
Abstract

At the heart of adaptive cognition is flexibility - the capacity to focus on particular mental representations and to utilise distinct processes in a way that is appropriate for current goals. This thesis aimed to investigate the neural basis of flexibility in semantic retrieval, using cortical thickness, intrinsic connectivity and task-based fMRI. Chapter 2 investigated the structural basis of controlled semantic retrieval. We found that participants who performed relatively well on tests of semantic control showed increased structural covariance between left posterior middle temporal gyrus and left anterior middle frontal gyrus. This study provides converging evidence for a distributed network underpinning semantic control. Chapter 3 explored whether memory-related regions within the default mode network (DMN) represent goal information during semantic cognition. Participants were asked to perform a semantic feature matching task in which they decided whether a probe and target word shared a feature indicated by a cue. We found DMN regions, angular gyrus and posterior cingulate cortex, represented goal information, consistent with the view that DMN supports controlled cognition. Chapter 4 investigated how human cortex is organised to produce a spectrum of cognition, from efficient memory-based decisions to more flexible novel patterns of thought. We asked participants to match words on the basis of a specific semantic feature, such as colour, while parametrically varying other features. This created a 'psychological gradient' varying from strong to weak convergence between long-term memories and evolving task demands. We found the neural response to the task varied in a gradual way along a previously-described connectivity gradient which captures transition along the cortical surface from perception and action, through executive control areas, to regions of DMN. The findings of this thesis provide evidence for the structural and functional basis of flexibility in semantic retrieval and point to organizational principles of this conceptual flexibility in the brain.

Published
2019

13. The Brain’s Topographical Organization Shapes Dynamic Interaction Patterns That Support Flexible Behavior Based on Rules and Long-Term Knowledge

Author

Wang, Xiuyi, primary, Krieger-Redwood, Katya, additional, Lyu, Baihan, additional, Lowndes, Rebecca, additional, Wu, Guowei, additional, Souter, Nicholas E., additional, Wang, Xiaokang, additional, Kong, Ru, additional, Shafiei, Golia, additional, Bernhardt, Boris C., additional, Cui, Zaixu, additional, Smallwood, Jonathan, additional, Du, Yi, additional, and Jefferies, Elizabeth, additional

Published
2024
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19. The brain’s topographical organization shapes dynamic interaction patterns to support flexible behavior

Author

Wang, Xiuyi, primary, Krieger-Redwood, Katya, additional, Lyu, Baihan, additional, Lowndes, Rebecca, additional, Wu, Guowei, additional, Souter, Nicholas E., additional, Wang, Xiaokang, additional, Kong, Ru, additional, Shafiei, Golia, additional, Bernhardt, Boris C., additional, Cui, Zaixu, additional, Smallwood, Jonathan, additional, Du, Yi, additional, and Jefferies, Elizabeth, additional

Published
2023
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21. The dynamic role of ecological innovation and sustainable finance in improving green productivity: evidence from China.

Author

Wang, Xiuyi, Sun, Le, Razzaq, Hafiz Kashif, Abdul-Samad, Zulkiflee, and The Cong, Phan

Subjects
SUSTAINABLE investing, DATA envelopment analysis, ECONOMIC conditions in China, TECHNOLOGICAL innovations, INDUSTRIAL productivity, INTERVENTION (Federal government)
Abstract

This study investigates the influence of ecological innovations and sustainable financing in promoting the Chinese economy's green total factor productivity (GTFP) from Q1-2004 to Q4-2018. Initially, this study measures GTFP using Data Envelopment Analysis and applies Bootstrap Auto-regressive Distributed Lagged (BARDL) model for dynamic effects. The preliminary results confirm the existence of unit root and a long-term cointegrating relationship among the model variables. The long-run results demonstrate that ecological innovations and sustainable financing have promoted GTFP in China. Moreover, government intervention is imperative to support green productivity growth at the macro level. However, there is a need to control the adverse effect of unemployment in impeding GTFP. Notably, the long-run results reflect the more substantial impact of the stated variables compared to the short run with the convergence towards long-run equilibrium. The policymakers are suggested to prioritise the development of the financial market and technological innovations. [ABSTRACT FROM AUTHOR]

Published
2023
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28. Physical distance to sensory-motor landmarks predicts language function

Author

Wang, Xiuyi, Krieger-Redwood, Katya Melanie, Zhang, Meichao, Cui, Zaixu, Wang, Xiaokang, Karapanagiotidis, Theodoros, Du, Yi, Leech, Robert, Bernhardt, Boris C, Margulies, Daniel S., Smallwood, Jonathan, and Jefferies, Beth

Subjects
Cellular and Molecular Neuroscience, Cognitive Neuroscience
Abstract

Auditory language comprehension recruits cortical regions that are both close to sensory-motor landmarks (supporting auditory and motor features) and far from these landmarks (supporting word meaning). We investigated whether the responsiveness of these regions in task-based functional MRI is related to individual differences in their physical distance to primary sensorimotor landmarks. Parcels in the auditory network, that were equally responsive across story and math tasks, showed stronger activation in individuals who had less distance between these parcels and transverse temporal sulcus, in line with the predictions of the “tethering hypothesis,” which suggests that greater proximity to input regions might increase the fidelity of sensory processing. Conversely, language and default mode parcels, which were more active for the story task, showed positive correlations between individual differences in activation and sensory-motor distance from primary sensory-motor landmarks, consistent with the view that physical separation from sensory-motor inputs supports aspects of cognition that draw on semantic memory. These results demonstrate that distance from sensorimotor regions provides an organizing principle of functional differentiation within the cortex. The relationship between activation and geodesic distance to sensory-motor landmarks is in opposite directions for cortical regions that are proximal to the heteromodal (DMN and language network) and unimodal ends of the principal gradient of intrinsic connectivity.

Published
2022

34. Perceptual coupling and decoupling of the default mode network during mind-wandering and reading

Author

Zhang, Meichao, primary, Bernhardt, Boris C, additional, Wang, Xiuyi, additional, Varga, Dominika, additional, Krieger-Redwood, Katya, additional, Royer, Jessica, additional, Rodríguez-Cruces, Raúl, additional, Vos de Wael, Reinder, additional, Margulies, Daniel S, additional, Smallwood, Jonathan, additional, and Jefferies, Elizabeth, additional

Published
2022
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36. Author response: Perceptual coupling and decoupling of the default mode network during mind-wandering and reading

Author

Zhang, Meichao, primary, Bernhardt, Boris C, additional, Wang, Xiuyi, additional, Varga, Dominika, additional, Krieger-Redwood, Katya, additional, Royer, Jessica, additional, Rodríguez-Cruces, Raúl, additional, Vos de Wael, Reinder, additional, Margulies, Daniel S, additional, Smallwood, Jonathan, additional, and Jefferies, Elizabeth, additional

Published
2022
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41. The Nature of Interfacial Catalysis over Pt/NiAl2O4for Hydrogen Production from Methanol Reforming Reaction

Author

Wang, Xiuyi, Li, Didi, Gao, Zirui, Guo, Yong, Zhang, Hongbo, and Ma, Ding

Abstract

Reforming of methanol is one of the most favorable chemical processes for on-board H2production, which alleviates the limitation of H2storage and transportation. The most important catalytic systems for methanol reacting with water are interfacial catalysts including metal/metal oxide and metal/carbide. Nevertheless, the assessment on the reaction mechanism and active sites of these interfacial catalysts are still controversial. In this work, by spectroscopic, kinetic, and isotopic investigations, we established a compact cascade reaction model (ca. the Langmuir–Hinshelwood model) to describe the methanol and water activation over Pt/NiAl2O4. We show here that reforming of methanol experiences methanol dehydrogenation followed by water–gas shift reaction (WGS), in which two separated kinetically relevant steps have been identified, that is, C–H bond rupture within methoxyl adsorbed on interface sites and O–H bond rupture within OlH (Ol: oxygen-filled surface vacancy), respectively. In addition, these two reactions were primarily determined by the most abundant surface intermediates, which were methoxyl and CO species adsorbed on NiAl2O4and Pt, respectively. More importantly, the excellent reaction performance benefits from the following bidirectional spillover of methoxyl and CO species since the interface and the vacancies on the support were considered as the real active component in methanol dehydrogenation and the WGS reaction, respectively. These findings provide deep insight into the reaction process as well as the active component during catalysis, which may guide the design of new catalytic systems.

Published
2023
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49. Plant phenomics: history, present status and challenges

Author

Zhou, Ji, Tardieu, Francois, Pridmore, Tony, Doonan, John, Reynolds, Daniel, Hall, Neil, Griffiths, Simon, Cheng, Tao, Zhu, Yan, Wang, Xiuyi, Jiang, Dong, and Ding, Yanfeng

Abstract

With the development of remote sensing, robotics, computer vision and artificial intelligence, plant phenomics research has been developing rapidly in recent years. Here, we first introduced a concise history of this research domain, including the theoretical foundation, research methods, biological applications, and the latest progress. Then, we introduced some important indoor and outdoor phenotyping approaches such as handheld devices, ground-based manual and automated vehicles, robotic systems, Internet of Things(IoT)based distributed platforms, automatic deep phenotyping systems, and large-scale aerial phenotyping, together with their advantages and disadvantages during the applications. In order to extract meaningful information from big image-and sensor-based datasets generated by the phenotyping process, we also specified key phenotypic analysis methods and related development procedures. Finally, we discussed the future perspective of plant phenomics, with recommendations of how to apply this research field to breeding, cultivation and agricultural practices in China.

Published
2018

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