Author(s): Zhao M; Jia W; Jennings S; Law A; Bourgon A; Su C; Larose MH; Grenier H; Bowness D; Zeng Y;
The objective of pilot training is to equip trainees with the knowledge, judgment, and skills to maintain control of an aircraft and respond to critical flight tasks. The present research aims to investigate changes in trainees' cognitive control levels during a pilot training process while t ...
Article GUID: 39428425
Author(s): Zangeneh Soroush M; Zeng Y;
Brain dynamics associated with design creativity tasks are largely unexplored. Despite significant strides, there is a limited understanding of the brain-behavior during design creation tasks. The objective of this paper is to review the concepts of creativity and design creativity as well as their differences, and to explore the brain dynamics associated ...
Article GUID: 39148896
Author(s): Yang J; Zeng Y; Yang L; Khan N; Singh S; Walker RL; Eastwood R; Quan H;
Objective: Effective management of hypertension requires not only medical intervention but also significant patient self-management. The challenge, however, lies in the diversity of patients' personal barriers to managing their condition. The objective of this research is to identify and categorize personalized barriers to hypertension self-management ...
Article GUID: 39143621
Author(s): Zangeneh Soroush M; Zhao M; Jia W; Zeng Y;
Understanding neural mechanisms in design and creativity processes remains a challenging endeavor. To address this gap, we present two electroencephalography (EEG) datasets recorded in design and creativity experiments. We have discussed the details, similarities, differences, and corresponding cognitive tasks of the two datasets in the following sections ...
Article GUID: 38152489
Author(s): Yang L; Kuang A; Xu C; Shewchuk B; Singh S; Quan H; Zeng Y;
Background: In recent years, mHealth has increasingly been used to deliver behavioral interventions for disease prevention and self-management. Computing power in mHealth tools can provide unique functions beyond conventional interventions in provisioning personalized behavior change recommendations and delivering them in real time, suppo ...
Article GUID: 36811938
Author(s): Pan J; Huang J; Cheng G; Zeng Y;
This paper proposes, implements, and evaluates a reinforcement learning (RL)-based computational framework for automatic mesh generation. Mesh generation plays a fundamental role in numerical simulations in the area of computer aided design and engineering (CAD/E). It is identified as one of the critical issues in the NASA CFD Vision 2030 Study. Existing ...
Article GUID: 36375347
Author(s): Wu G; Eastwood C; Zeng Y; Quan H; Long Q; Zhang Z; Ghali WA; Bakal J; Boussat B; Flemons W; Forster A; Southern DA; Knudsen S; Popowich B; Xu Y;
Background: Measurement of care quality and safety mainly relies on abstracted administrative data. However, it is well studied that administrative data-based adverse event (AE) detection methods are suboptimal due to lack of clinical information. Electronic medical records (EMR) have been widely ...
Article GUID: 36197944
Author(s): Wan TTH; Matthews S; Luh H; Zeng Y; Wang Z; Yang L;
There are several challenges in diabetes care management including optimizing the currently used therapies, educating patients on selfmanagement, and improving patient lifestyle and systematic healthcare barriers. The purpose of performing a systems approach to implementation science aided by artificial intelligence techniques in diabetes care is two-fold ...
Article GUID: 35372638
Author(s): Jia W; von Wegner F; Zhao M; Zeng Y;
Design is a ubiquitous, complex, and open-ended creation behaviour that triggers creativity. The brain dynamics underlying design is unclear, since a design process consists of many basic cognitive behaviours, such as problem understanding, idea generation, idea analysis, idea evaluation, and idea evolution. In this present study, we simulated the design ...
Article GUID: 34930950
Author(s): Jia W, Zeng Y
Many neurocognitive studies endeavor to understand neural mechanisms of basic creative activities in strictly controlled experiments. However, little evidence is available regarding the neural mechanisms of interactions between basic activities underlying creativity in such experiments. Moreover, strictly controlled experiments might limit flexibility/fre ...
Article GUID: 33483583
Author(s): Wang Z, Du S, Dayanandan S, Wang D, Zeng Y, Zhang J
PLoS One. 2014;9(8):e103645 Authors: Wang Z, Du S, Dayanandan S, Wang D, Zeng Y, Zhang J
Article GUID: 25116432
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