Introduction: Platformization of entrepreneurial labor via Chinese digital networks

The special issue, “Chinese Platforms and Entrepreneurial Labour,” examines entrepreneurial labor and its relationship with the platformization of Chinese society and economy. The introduction to the special issue sums up three key issues pertinent to the broad field of platform entrepreneurial labor: class, power, and gender. It also contextualizes the platforms—Kuaishou, Xiaohongshu, Bilibili, and TikTok—that are discussed in five articles by authors from China, India, Japan, Australia, and UK

Temporal Trends of Polychlorinated Biphenyls in Precipitation and Air at Chicago

Polychlorinated biphenyl (PCB) concentrations in precipitation (1997−2003) and in the atmospheric gas phase (1996−2003) collected in Chicago, IL, are reported. These data were obtained as part of the Integrated Atmospheric Deposition Network. For comparison, PCB concentrations at a remote site, Sleeping Bear Dunes on the northeastern shore of Lake Michigan, are also reported. Much higher PCB concentrations in both precipitation (7.1 ± 0.9 ng/L) and the gas phase (1.4 ± 0.1 ng/m3) at Chicago compared to Sleeping Bear Dunes (1.1 ± 0.1 ng/L and 0.1 ± 0.08 ng/m3, respectively) indicate that Chicago is a source of PCBs to the Great Lakes. A long-term decreasing trend of PCB concentrations in precipitation was observed at Chicago with a half-life of 6.8 ± 3.1 years. The corresponding half-life for PCB concentrations in the gas phase was 7.7 ± 1.1 years. The significant long-term decrease of PCB concentrations in precipitation and the gas phase in Chicago suggests that regulatory efforts are working, at least in this city

This is the description of the data set.

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Segmentation results of the proposed model and CV, DRLSE, LSACM, LVC models.

Segmentation results of the proposed model and CV, DRLSE, LSACM, LVC models.</p

Comparisons of the proposed model with the CV, the LVC, the LRFI on heart images.

Comparisons of the proposed model with the CV, the LVC, the LRFI on heart images.</p

Value information table of each parameter.

Value information table of each parameter.</p

Comparisons of Jaccard similarity coefficient of Fig 5.

Comparisons of Jaccard similarity coefficient of Fig 5.</p

Comparison of CPU iteration time of the proposed model with CV, LVC and LSACM.

Comparison of CPU iteration time of the proposed model with CV, LVC and LSACM.</p

Comparisons of the proposed model with the LVC, GAC, DRLSE models.

Comparisons of the proposed model with the LVC, GAC, DRLSE models.</p

Comparisons of the proposed model with the LIF, the LSACM and the LVC on brain images.

Comparisons of the proposed model with the LIF, the LSACM and the LVC on brain images.</p