27,808 research outputs found
Crisis management, global challenges, and sustainable development from an Asian perspective
No full textTensors 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
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Innovating through digital revolution: The role of soft skills and Big Data inincreasing firm performance
No full textPurpose–The purpose of this paper is to investigate the relations among soft skill, information technologiesand Big Data for building a possible bridge able to link human and technology dimensions for increasingfirm performance. Design/methodology/approach–Using the Business-focused Inventory of Personality , work personalityof 4,758 human resources engaged in 72 high-tech European firms has been analyzed and its relations withfirms’investment in Big Data and firms’economic performance have been tested using the structuralequation modeling (SEM).Findings–The research shows the existence of strong relations between some elements of human resources’personality such as the work motivation and the social competencies and the firms’economic performance.At the same time, the research clarifies the mediated effect of firms’investment in Big Data in the relationsbetween human resources’organizational behavior and the firms’economic performance.Originality/value–The paper extends previous managerial contributions about Big Data management andhuman resource management providing evidence on which build more effective managerial models in the eraof digital transformation
Liu Kang
No full textLiu Kang: Essays on Art and Culture is a testament to the inexorable passion of an artist who knew no boundaries. This collection of essays, which Liu Kang wrote over 44 years, offers an insight into the artist’s myriad interests as well as his contributions as a first generation Nanyang artist and art educator. Translated into English for this volume, Liu Kang’s essays are accompanied by commentaries and photographs of the artist-author and his subjects
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Advancing Chinese leadership research: review and future directions
No full textChinese leadership has received growing research attention amid the rapid development of the Chinese economy, the rising influence of the Chinese government and companies in the global arena, and China’s business transformation and institutional reform. However, the extant literature has tended to adopt Western leadership theories and test them in the Chinese context. By reviewing Chinese leadership studies, this paper highlights the importance of context in shaping leadership attitudes, behaviors, activities, and their consequences. To further advance Chinese leadership research and its impact on management practice, we suggest that it is crucial to pay closer attention to the cultural micro-foundations underpinned by traditional Chinese philosophy. We offer six promising avenues for future research: (1) a nuanced and critical approach to the role of context, (2) the combination of Western and Chinese thoughts, (3) indigenous leadership theory development, (4) gender and leadership, (5) leadership and performance, and (6) leadership in crisis management
Tensor methods for low-level vision
No full textLow-level vision is a processing system that plays an important role in human as well as in machine visual pattern recognition. It is often used to refer to information processing based on local visual features such as edges, corners, colors, and self-similarity. Typical examples in the research fields of computer vision and image/ signal processing are compression, noise removal, deblurring, superresolution, image inpainting, computed tomography, and compressed sensing. In this chapter, we introduce the tensor representations, mathematical models, and optimization algorithms and illustrate their application to selected low-level vision tasks.Fil: Yokota, Tatsuya. Nagoya Institute Of Technology; JapónFil: Caiafa, César Federico. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; ArgentinaFil: Zhao, Qibin. Riken Aip; Japó
Prospective prediction of anxiety onset in the Canadian Longitudinal Study on Aging (CLSA) : A machine learning study
No full textYutong Li: Conceptualization, Data curation, Formal analysis, Methodology, Visualization, Writing – original draft, Writing – review & editing. Yipeng Song: Conceptualization, Data curation, Formal analysis, Methodology, Writing – original draft. Jie Sui: Supervision, Writing – original draft, Writing – review & editing. Russell Greiner: Supervision, Writing – original draft, Writing – review & editing. Xin-min Li: Supervision, Writing – original draft. Andrew J. Greenshaw: Supervision, Writing – original draft, Writing – review & editing. Yang S. Liu: Conceptualization, Data curation, Writing – original draft, Writing – review & editing. Bo Cao: Resources, Supervision, Validation, Writing – original draft, Writing – review & editing, Conceptualization, Funding acquisition, Methodology, Project administration.Peer reviewe
Phoebus 10: A Journal of Art History
No full texttableOfContents: Homage to the Past: The Art of Yin Xiaofeng by Ralph Gabbard and Liu Liu.. pages 5-1
Ji Han xiang chen zhuan
No full text[V.1-2]. 前漢相臣傳 : 十二卷 -- [v.3-5]. 後漢相臣傳 : 十六卷 -- [v.6]. 季漢相臣傳 : 六卷.[V.1-2]. Qian Han xiang chen zhuan : shi er juan -- [v.3-5]. Hou Han xiang chen zhuan : shi liu juan -- [v.6]. Ji Han xiang chen zhuan : liu juan.魏顯國纂述 ; 魏一鵬編次.綫裝, 1函.框22x14.3公分, 10行20字, 白口, 單黑魚尾, 四周單邊, 版心上鐫題名, 中鐫卷次, 下鐫葉次及小題.刻書年據《四庫全書存目叢書》鈐有"元鑑齋", "潤州笪重光鑒定印", "毛氏收藏子孫永保"印.Library's copy: 本館只存《歷代相臣傳》中《前漢》, 《後漢》, 《季漢》共六冊.Xian zhuang, 1 han.Kuang 22 x 14.3 gong fen, 10 hang 20 zi, bai kou, dan hei yu wei, si zhou dan bian, ban xin shang juan ti ming, zhong juan juan ci, xia juan ye ci ji xiao ti.Ke shu nian ju "Si ku quan shu cun mu cong shu"Wei Xianguo zuan shu ; Wei Yipeng bian ci.Qian you "Yuan jian zhai", "Runzhou Da Chongguang jian ding yin", "Mao shi shou cang zi sun yong bao" yin.Library's copy: ben guan zhi cun "Li dai xiang chen zhuan" zhong "Qian Han", "Hou Han", "Ji Han" gong liu ce
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