In: Biological Invasions, 2015, vol. 17, no. 2, p. 529-535
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In: Knowledge and Information Systems, 2020, vol. 62, p. 2257-2280
Missing values are very common in real-world data including time-series data. Failures in power, communication or storage can leave occasional blocks of data missing in multiple series, affecting not only real-time monitoring but also compromising the quality of data analysis. Traditional recovery (imputation) techniques often leverage the correlation across time series to recover missing...
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In: Proceedings of the VLDB Endowment, 2020, vol. 13, no. 5, p. 768-782
Recording sensor data is seldom a perfect process. Failures in power, communication or storage can leave occasional blocks of data missing, affecting not only real-time monitoring but also compromising the quality of near- and off-line data analysis. Several recovery (imputation) algorithms have been proposed to replace missing blocks. Unfortunately, little is known about their relative...
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In: Diversity, 2020, vol. 12, no. 9, p. 346
Glacial relicts, especially those with very narrow habitat requirements, are particularly affected by global warming. We considered Papaver occidentale, a glacial relict endemic to the Western Prealps, belonging to the alpine poppy complex (P. alpinum aggr.), as a model taxon to study the actual status and potential future distribution of species restricted to particular microrefugia. For...
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In: International Journal of Antimicrobial Agents, 2020, vol. 56, no. 2, p. 106050
Klebsiella pneumoniae carbapenemase (KPC)-producing K. pneumoniae (KPC-KP) have disseminated worldwide and are a major threat to public health. The multidrug- resistant (MDR)-phenotype of KPC-KP are commonly associated with the presence of high molecular weight blaKPC plasmids. Restriction-modification (R-M) systems provide bacteria with innate defense against plasmids or other infectious gene...
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In: International Journal of Modern Physics C, 2020, vol. 31, no. 04, p. 2050056
Community division in complex networks has become one of the hot topics in the field of network science. Most of the methods developed based on network topology ignore the dynamic characteristics underlying the structure. By exploring the diffusion process in the network based on random walk, this paper sums up the general rule with temporal characteristics as a temporary local balancing...
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In: Journal of Informetrics, 2020, vol. 14, no. 1, p. 101005
Despite the increasing use of citation-based metrics for research evaluation purposes, we do not know yet which metrics best deliver on their promise to gauge the significance of a scientific paper or a patent. We assess 17 network-based metrics by their ability to identify milestone papers and patents in three large citation datasets. We find that traditional information-retrieval evaluation...
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In: Emerging Microbes & Infections, 2020, vol. 9, no. 1, p. 1011–1022
Klebsiella pneumoniae carbapenemase (KPC)-producing K. pneumoniae (KPC-KP) have disseminated worldwide and emerged as major threats to public health. Of epidemiological significance, the international pandemic of KPC-KP is primarily associated with CG258 isolates and bla KPC-IncF plasmids. CRISPR-Cas system is an adaptive immune system that can hinder gene expansion driven by horizontal gene ...
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Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020ECO007.
Empirical indicators of sentiment are commonly employed in the economic literature while a precise understanding of what is sentiment is still missing. Exploring the links among the most popular proxies of sentiment, fear and uncertainty this paper aims to fill this gap. We show how fear and sentiment are specular in their predictive power in relation to the aggregate market and to...
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In: Physics Reports, 2020, vol. 846, p. 1–66
Biological entities are involved in intricate and complex interactions, in which uncovering the biological information from the network concepts are of great significance. Benefiting from the advances of network science and high-throughput biomedical technologies, studying the biological systems from network biology has attracted much attention in recent years, and networks have long been...
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