In: Journal of Vertebrate Paleontology, 2021, p. e1917587
Here we report a new cricetid s.l., Caecocricetodon yani, gen. et sp. nov., discovered in the early Oligocene of the Caijiachong Formation in Yunnan Province, China. The new cricetid differs from all known cricetids or stem muroids by its particular molar pattern displaying numerous crests and spurs. Our phylogenetic analysis based on a matrix including 42 taxa and 72 characters indicates...
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In: International journal of environmental research and public health, 2020, vol. 17, no. 15, p. 15 p
As non-communicable diseases (NCDs) are now well recognized as the leading cause of mortality among adult populations worldwide, they are also increasingly the focus of media coverage. As such, the objective of this study is to describe the framing of NCDs in the coverage of newspapers, with the understanding that it says something about the society producing it. Automatic content analysis was ...
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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: 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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In: International journal of environmental research and public health, 2018, vol. 15, no. 7, p. 1553
The rapid rise of Internet-based technologies to disseminate health information and services has been shown to enhance online health information acquisition. A Chinese version of the electronic health literacy scale (C-eHEALS) was developed to measure patients’ combined knowledge and perceived skills at finding and applying electronic health information to health problems. A valid sample...
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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...
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In: Physica A: Statistical Mechanics and its Applications, 2019, vol. 536, p. 121004
When the product quality is limited and the information capability is variable, we propose the enterprise enhances corporate profits by changing the relationship between market demand and external resources. We assume that the information capacity can be changed through the input of external resources. In this paper, we present a research agenda that empowers external resources to transform...
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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...
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In: Complexity, 2019, vol. 2019, p. 1–17
Understanding and predicting extreme turning points in the financial market, such as financial bubbles and crashes, has attracted much attention in recent years. Experimental observations of the superexponential increase of prices before crashes indicate the predictability of financial extremes. In this study, we aim to forecast extreme events in the stock market using 19-year time-series...
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