In contrast to much of the research that treats the official All China Federation of Trade Unions (ACFTU) as a monolithic organization, the author argues that there is considerable variation within ...ACFTU in terms of local union organizing strategies. Using extensive field research and interviews with regional union officials, grassroots union cadres, shop floor workers, and employers and managers in China during the period 2005-2007, the author contributes to an understanding of contemporary trade union strategies in China. Moreover, his analysis of regional union strategies suggests three patterns of union organizing: the traditional ACFTU pattern, the union association pattern, and the regional, industry-based bargaining pattern, each with vastly different consequences for the future of trade unions and collective bargaining in China.
Neddylation-mediated activation of Cullin-RING E3 Ligases (CRLs) are necessary for the degradation of specific immune regulatory proteins. However, little is known about how these processes govern ...the function of regulatory T (Treg) cells. Here we show that mice with Treg cell-specific deletion of Rbx1, a dual E3 for both neddylation and ubiquitylation by CRLs, develop an early-onset fatal inflammatory disorder, characterized by disrupted Treg cell homeostasis and suppressive functions. Specifically, Rbx1 is essential for the maintenance of an effector Treg cell subpopulation, and regulates several inflammatory pathways. Similar but less severe phenotypes are observed in mice having Ube2m, a neddylation E2 conjugation enzyme, deleted in their Treg cells. Interestingly, Treg-specific deletion of Rbx2/Sag or Ube2f, components of a similar but distinct neddylation-CRL complex, yields no obvious phenotype. Thus, our work demonstrates that the Ube2m-Rbx1 axis is specifically required for intrinsic regulatory processes in Treg cells; and that Rbx1 might also play Ube2m-independent roles in maintaining the fitness of Treg cells, suggesting a layer of complexity in neddylation-dependent activation of CRLs.
Microseismic monitoring is an important tool for predicting and preventing rock burst incidents in mines, as it provides precursor information on rock burst. To improve the prediction accuracy of ...microseismic events in rock burst mines, the working face of the Hegang Junde coal mine is selected as the research object, and the research data will consist of the microseismic monitoring data from this working face over the past 4 years, adopts expert system and temporal energy data mining method to fuse and analyze the mine pressure manifestation regularity and microseismic data, and the "noise reduction" data model is established. By comparing the MEA-BP and traditional BP neural network models, the results of the study show that the prediction accuracy of the MEA-BP neural network model was higher than that of the BP neural network. The absolute and relative errors of the MEA-BP neural network were reduced by 247.24 J and 46.6%, respectively. Combined with the online monitoring data of the KJ550 rock burst, the MEA-BP neural network proved to be more effective in microseismic energy prediction and improved the accuracy of microseismic event prediction in rock burst mines.
As a circadian organ, liver executes diverse functions in different phase of the circadian clock. This process is believed to be driven by a transcription program. Here, we present a transcription ...factor (TF) DNA-binding activity-centered multi-dimensional proteomics landscape of the mouse liver, which includes DNA-binding profiles of different TFs, phosphorylation, and ubiquitylation patterns, the nuclear sub-proteome, the whole proteome as well as the transcriptome, to portray the hierarchical circadian clock network of this tissue. The TF DNA-binding activity indicates diurnal oscillation in four major pathways, namely the immune response, glucose metabolism, fatty acid metabolism, and the cell cycle. We also isolate the mouse liver Kupffer cells and measure their proteomes during the circadian cycle to reveal a cell-type resolved circadian clock. These comprehensive data sets provide a rich data resource for the understanding of mouse hepatic physiology around the circadian clock.
•We use sewage sludge and river sediment to produce lightweight aggregate (LWA).•We investigate the effects of K on the stabilization of heavy metals in LWA.•Minimum heavy metals leachability can be ...obtained at K between 0.175 and 0.2.•Heavy metal solidification rates above 95% in acidic solutions.•LWA can be used as an environmentally safe material for civil engineering.
The primary goal of this research is to investigate the stabilization of heavy metals in lightweight aggregate (LWA) made from sewage sludge and river sediment. The effects of the sintering temperature, the (Fe2O3+CaO+MgO)/(SiO2+Al2O3) ratio (K ratio), SiO2/Al2O3 and Fe2O3/CaO/MgO (at fixed K ratio), pH, and oxidative conditions on the stabilization of heavy metals were studied. Sintering at temperatures above 1100°C effectively binds Cd, Cr, Cu and Pb in the LWA, because the stable forms of the heavy metals are strongly bound to the aluminosilicate or silicate frameworks. Minimum leachabilities of Cd, Cr, Cu and Pb were obtained at K ratios between 0.175 and 0.2. When the LWA was subjected to rigorous leaching conditions, the heavy metals remained in the solid even when the LWA bulk structure was broken. LWA made with sewage sludge and river sediment can therefore be used as an environmentally safe material for civil engineering and other construction applications.
Micro- and nanomotors (MNMs) are micro/nanoparticles that can perform autonomous motion in complex fluids driven by different power sources. They have been attracting increasing attention due to ...their great potential in a variety of applications ranging from environmental science to biomedical engineering. Over the past decades, this field has evolved rapidly, with many significant innovations contributed by global researchers. In this review, we first briefly overview the methods used to propel motors and then present the main strategies used to design proper MNMs. Next, we highlight recent fascinating applications of MNMs in two examplary fields, water remediation and biomedical microrobots, and conclude this review with a brief discussion of challenges in the field.
The diffuse-type gastric cancer (DGC) is a subtype of gastric cancer with the worst prognosis and few treatment options. Here we present a dataset from 84 DGC patients, composed of a proteome of ...11,340 gene products and mutation information of 274 cancer driver genes covering paired tumor and nearby tissue. DGC can be classified into three subtypes (PX1-3) based on the altered proteome alone. PX1 and PX2 exhibit dysregulation in the cell cycle and PX2 features an additional EMT process; PX3 is enriched in immune response proteins, has the worst survival, and is insensitive to chemotherapy. Data analysis revealed four major vulnerabilities in DGC that may be targeted for treatment, and allowed the nomination of potential immunotherapy targets for DGC patients, particularly for those in PX3. This dataset provides a rich resource for information and knowledge mining toward altered signaling pathways in DGC and demonstrates the benefit of proteomic analysis in cancer molecular subtyping.
Transcription factors (TFs) drive various biological processes ranging from embryonic development to carcinogenesis. Here, we employ a recently developed concatenated tandem array of consensus TF ...response elements (catTFRE) approach to profile the activated TFs in 24 adult and 8 fetal mouse tissues on proteome scale. A total of 941 TFs are quantitatively identified, representing over 60% of the TFs in the mouse genome. Using an integrated omics approach, we present a TF network in the major organs of the mouse, allowing data mining and generating knowledge to elucidate the roles of TFs in various biological processes, including tissue type maintenance and determining the general features of a physiological system. This study provides a landscape of TFs in mouse tissues that can be used to elucidate transcriptional regulatory specificity and programming and as a baseline that may facilitate understanding diseases that are regulated by TFs.
Despite the rapid growth of Chinese outward foreign direct investment in developed markets, many Chinese multinational corporations (MNCs) suffer from liabilities of origin (LOR)—capability‐ and ...legitimacy‐based disadvantages associated with the country of origin. This study identifies localization as a strategic mechanism through which Chinese MNCs overcome their LOR. With a specific focus on human resource management (HRM), we examine how factors associated with firms' perceived LOR, including springboard intent, local competition, and host country regulatory pressures, affect Chinese MNCs' adoption of local HRM practices in developed markets. We differentiate HRM practices that managers intend to adopt from those that are actually implemented and explore how state ownership affects the intention–implementation gap. Based on a sample of Chinese MNCs in the United States, we find that springboard intent, local competition, and host country regulatory pressures are positively associated with intended, but not implemented, HRM localization. Further examination demonstrates that springboard intent and local competition have significant effects on implemented HRM localization among private businesses but not in state‐owned enterprises (SOEs). The managerial constraints and resource endowment of Chinese SOEs may hinder their overseas subsidiaries from implementing local HRM practices to address LOR.
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•Incomplete oxidation in oxic tanks was the primary source of N2O.•N2O in anoxic tank was mainly generated by nitrifier denitrification.•No direct correlation existed between N2O and ...nitrifiers/denitrifiers abundances.•The impacts of pH relied on response of bacterial enzymes and nitrogen compounds.•A pH optimum of 6–8 is recommended for nitrogen removal and N2O mitigation.
This study focused on the nitrous oxide (N2O) generation from the biological nitrogen removal process under different pH levels. To explore a pH optimum, the online N2O emission and the bacterial composition and function in the anoxic–oxic process were investigated. The mean gaseous N2O emission accounted for 0.329%, 0.103%, 0.085%, and 0.793% of the influent total nitrogen at pH of 5, 6, 8, and 9, respectively. Incomplete oxidation in oxic tanks was the primary source of N2O, while N2O in the anoxic tank was mainly generated by nitrifier denitrification. No direct correlations were observed between N2O emission and potential nitrifiers and denitrifiers. The impacts of pH on N2O generation were more likely related to the response of bacterial enzymes and nitrogen compounds, rather than the feedback of bacterial community structure itself. Above all, an influent pH range of 6–8 is recommended for nitrogen removal and N2O mitigation in anoxic–oxic process.
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