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Consortium of Swiss Academic Libraries

Uptake and speciation of vanadium in the rhizosphere soils of rape ( Brassica juncea L.)

Tian, Li-Yan ; Yang, Jin-Yan ; Huang, Jen-How

In: Environmental Science and Pollution Research, 2015, vol. 22, no. 12, p. 9215-9223

Université de Fribourg

High-risk KPC-producing Klebsiella pneumoniae lack type I R-M systems

Zhou, Ying ; Tian, Dongxing ; Tang, Yu ; Yu, Lianhua ; Huang, Yunkun ; Li, Gang ; Li, Meng ; Wang, Yong ; Yang, Zehua ; Poirel, Laurent ; Jiang, Xiaofei

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...

Université de Fribourg

Multiscale community estimation based on temporary local balancing strategy

Zhou, Qiang ; Cai, Shi-Min ; Zhang, Yi-Cheng

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...

Université de Fribourg

Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data

Xu, Shuqi ; Mariani, Manuel Sebastian ; Lü, Linyuan ; Medo, Matúš

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...

Université de Fribourg

The type I-E CRISPR-Cas system influences the acquisition of bla KPC-IncF plasmid in Klebsiella pneumonia

Zhou, Ying ; Tang, Yu ; Fu, Pan ; Tian, Dongxing ; Yu, Lianhua ; Huang, Yunkun ; Li, Gang ; Li, Meng ; Wang, Yong ; Yang, Zehua ; Xu, Xiaogang ; Yin, Zhe ; Zhou, Dongsheng ; Poirel, Laurent ; Jiang, Xiaofei

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 ...

Université de Fribourg

Ranking game on networks: The evolution of hierarchical society

Zhang, Xin-Jie ; Tanga, Yong ; Xiong, Jason ; Wang, Wei-Jia ; Zhang, Yi-Cheng

In: Physica A: Statistical Mechanics and its Applications, 2020, vol. 540, p. 123140

Interacting with each other, individuals in a population form various social network topologies. Models of evolutionary games on networks provide insight into how the collective behaviors of structured populations are influenced by individual decision making and network topologies. In a hierarchical society, many social resources are allocated according to certain social rankings, such as...

Université de Fribourg

Parallel heuristic community detection method based on node similarity

Zhou, Qiang ; Cai, Shi-Min ; Zhang, Yi-Cheng

In: IEEE Access, 2019, vol. 7, p. 184145–184159

Community structure discovery can help us better understand the capabilities and functions of the network. However, many existing methods have failed to identify nodes in communities accurately. In this paper, we proposed a heuristic community detection method based on node similarities that are computed by assigning different edge weight influence factors based on different neighbor types of...