1,747 research outputs found
Tensors for neuroimaging: A review on applications of tensors to unravel the mysteries of the brain
No full textNeuroimaging techniques are used to image the structure and function of the nervous system for medicine, psychology, and neuroscience research. Brain data are inherently multidimensional and complex, and the recent advances in neuroimaging allow the acquisition of brain signals at an increasing spatiotemporal resolution. Being able to process the resulting large-scale data and capturing the multiway structure of the brain, tensor-based analyses are well suited for a variety of neuroimaging applications. In this review, we provide a comprehensive overview of successful tensor-based solutions used in the field of neuroimaging discuss practical challenges and the future of tensors in medical technology.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Signal Processing System
The role of returnees in business:A review
No full textIn recent years, a growing number of overseas Chinese students and immigrants return to China to take advantage of the development opportunities by engaging business. Their roles in business receive increasing attention from policy makers, the media and scholars. This chapter intends to provide a review of the relevant literature. We note that returnees have started playing an important role in the society since 1840s. Returnees contribute to the modern business through facilitating knowledge transfer, increasing innovation, boosting productivity and ensuring economic growth. The evidence from other countries and the disadvantages of returnees are also discussed
sj-docx-1-tam-10.1177_17588359231210678 – Supplemental material for Different associations between organ-specific immune-related adverse event and survival in non-small cell lung cancer patients treated with programmed death-1 inhibitors-based combination therapy
No full textSupplemental material, sj-docx-1-tam-10.1177_17588359231210678 for Different associations between organ-specific immune-related adverse event and survival in non-small cell lung cancer patients treated with programmed death-1 inhibitors-based combination therapy by Yuzhong Chen, Yuanjian Shi, Hanlin Ding, Yipeng Feng, Te Zhang, Yingkuan Liang, Hui Wang, Xuming Song, Bing Chen, Wenjie Xia, Qixing Mao, Bo Shen, Lin Xu, Gaochao Dong and Feng Jiang in Therapeutic Advances in Medical Oncology</p
A Functional Representation for Graph Matching
No full textGraph matching is an important and persistent problem in computer vision and pattern recognition for finding node-to-node correspondence between graphs. However, graph matching that incorporates pairwise constraints can be formulated as a quadratic assignment problem (QAP), which is NP-complete and results in intrinsic computational difficulties. This paper presents a functional representation for graph matching (FRGM) that aims to provide more geometric insights on the problem and reduce the space and time complexities. To achieve these goals, we represent each graph by a linear function space equipped with a functional such as inner product or metric, that has an explicit geometric meaning. Consequently, the correspondence matrix between graphs can be represented as a linear representation map. Furthermore, this map can be reformulated as a new parameterization for matching graphs in Euclidean space such that it is consistent with graphs under rigid or nonrigid deformations. This allows us to estimate the correspondence matrix and geometric deformations simultaneously. We use the representation of edge-attributes rather than the affinity matrix to reduce the space complexity and propose an efficient optimization strategy to reduce the time complexity. The experimental results on both synthetic and real-world datasets show that the FRGM can achieve state-of-the-art performance
Effective volume growth of three-manifolds with positive scalar curvature
No full textIn this note, we prove an effective linear volume growth for complete three-manifolds with non-negative Ricci curvature and uniformly positive scalar curvature. This recovers the results obtained by Munteanu-Wang. Our method builds upon recent work by Chodosh-Li-Stryker, which utilizes the technique of -bubbles and the almost-splitting theorem by Cheeger-Colding.10 pages; v2: minor changes, version accepted for publication in Proc. Amer. Math. So
Transnational space, networks, and entrepreneurship: reverse migration from the US to China
No full text
Authoritarian Peace: Explaining China\u27s Peaceful Rise through a Domestic Costs Model
No full textThe rise of China is a crucial topic in the field of International Relations in the 21st century. Three major theoretical trends aim to explain and predict whether China will experience a peaceful rise. However, the author argues that none of these trends can explain China\u27s future strategic orientation. Instead, the author proposes a "domestic costs" model, which builds upon the "audience costs" concept and evaluates China\u27s economic and political costs associated with engaging inwards. The author concludes that China will pursue a peaceful rise because engaging in a war would likely result in high domestic costs and jeopardize the legitimacy and survival of the communist regime. To support this argument, the author utilizes two case studies: the reunification of Hong Kong and the Diaoyu/Senkaku Islands dispute, analyzing them through the lens of the domestic costs model. The author also briefly discusses the model\u27s limitations and suggests potential directions for future research
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