981 research outputs found
Collaborative Inference of Coexisting Information Diffusions
Recently, \textit{diffusion history inference} has become an emerging
research topic due to its great benefits for various applications, whose
purpose is to reconstruct the missing histories of information diffusion traces
according to incomplete observations. The existing methods, however, often
focus only on single information diffusion trace, while in a real-world social
network, there often coexist multiple information diffusions over the same
network. In this paper, we propose a novel approach called Collaborative
Inference Model (CIM) for the problem of the inference of coexisting
information diffusions. By exploiting the synergism between the coexisting
information diffusions, CIM holistically models multiple information diffusions
as a sparse 4th-order tensor called Coexisting Diffusions Tensor (CDT) without
any prior assumption of diffusion models, and collaboratively infers the
histories of the coexisting information diffusions via a low-rank approximation
of CDT with a fusion of heterogeneous constraints generated from additional
data sources. To improve the efficiency, we further propose an optimal
algorithm called Time Window based Parallel Decomposition Algorithm (TWPDA),
which can speed up the inference without compromise on the accuracy by
utilizing the temporal locality of information diffusions. The extensive
experiments conducted on real world datasets and synthetic datasets verify the
effectiveness and efficiency of CIM and TWPDA
Increased Stress Tolerance in Transgenic Alfalfa Expressing \u3ci\u3eAt.\u3c/i\u3e DREB1C Gene by \u3ci\u3eAgrobacterium\u3c/i\u3e‐Mediated Genetic Transformation
An Uplink Interference Analysis for Massive MIMO Systems with MRC and ZF Receivers
This paper considers an uplink cellular system, in which each base station
(BS) is equipped with a large number of antennas to serve multiple
single-antenna user equipments (UEs) simultaneously. Uplink training with pilot
reusing is adopted to acquire the channel state information (CSI) and maximum
ratio combining (MRC) or zero forcing (ZF) reception is used for handling
multiuser interference. Leveraging stochastic geometry to model the spatial
distribution of UEs, we analyze the statistical distributions of the
interferences experienced by a typical uplink: intra-cell interference,
inter-cell interference and interference due to pilot contamination.
For a practical but still large number of BS antennas, a key observation for
MRC reception is that it is the intra-cell interference that accounts for the
dominant portion of the total interference. In addition, the interference due
to pilot contamination tends to have a much wider distribution range than the
inter-cell interference when shadowing is strong, although their mean powers
are roughly equal. For ZF reception, on the other hand, we observe a
significant reduction of the intra-cell interference compared to MRC reception,
while the inter-cell interference and the interference due to pilot
contamination remains almost the same, thus demonstrating a substantial
superiority over MRC reception.Comment: 7 pages, 4 figures, accepted by IEEE Wireless Communications and
Networking Conference (WCNC) 201
Oxytocin is implicated in social memory deficits induced by early sensory deprivation in mice
Acknowledgements We thank Miss Jia-Yin and Miss Yu-Ling Sun for their help in breading the mice. Funding This work was supported by grants from the National Natural Science Foundation of China (81200933 to N.-N. Song; 81200692 to L. Chen; 81101026 to Y. Huang; 31528011 to B. Lang; 81221001, 91232724 and 81571332 to Y-Q. Ding), Zhejiang Province Natural Science Foundation of China (LQ13C090004 to C. Zhang), China Postdoctoral Science Foundation (2016 M591714 to C.-C. Qi), and the Fundamental Research Funds for the Central Universities (2013KJ049).Peer reviewedPublisher PD
Do national cultures matter in the containment of COVID-19?
Purpose
This paper empirically investigates how cultural variations in individualism and tightness affected the containment of COVID-19 using data from 54 nations during a 30-day period of government intervention.
Design/methodology/approach
The authors utilized the hierarchical regression approach to check the effects of three cultural variables – the individualism measure, taken from Hofstede’s six-dimension national culture index, and the measure of cultural tightness, based on the three tightness–looseness indexes calculated by Irem Uz (2015) and their interaction – on the changes in the prevalence rate (ΔPR) and crude mortality rate (ΔCMR) and case fatality rate (CFR) while controlling for the stringency of government responses to COVID-19, median age and population density.
Findings
Significant relationships were found between cultural variables and national performance in slowing the spread of the coronavirus, measured by ΔPR, ΔCMR and CFR. After controlling for the stringency of government responses, median age and population density, the authors found that cultural tightness and individualism as well as their interactions remain to be pivotal. Loose and individualistic cultures led to faster increases in PR and CMR and higher CFR. A four-quadrant conceptual framework is developed to categorize and discuss the national differences
A Multi-Dimensional Analytical Model for Musical Harmony Perception
In this paper, a theoretical approach is presented to analyse music harmony perception under different tonal context. The purpose of this study is to account for the empirical perception rankings of musical chord structures. We believe the perception of a musical simultaneity depends on both its internal structure and external tonal context and the failure of previous psychoacoustic theories possibly comes from the ignorance of tonal context. The model prediction result reveals some important insights in line with empirical observations for music triads
Musical composing on pitch time table based tangible tabletop interface
Master'sMASTER OF ENGINEERIN
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