The knowledge map and visualization on the technological hotspots and the developmental trends of China's textile manufacturing industry is investigated to understand the developmental frontiers of the textile manufacturing industry technology. This work contributes to the knowledge of research and development trends of the textile manufacturing and apparel industry in a macroscopic way. The Web of Science database and the core set of the Web of Science was explored and 2852 articles in the related fields are identified from 2010 to 2019. The scientific knowledge map of the textile manufacturing technology industry is explored using CiteSpace software. For the last decade, the developmental status, research hotspots and developmental trends of the textile manufacturing and apparel industry are analysed and summarised from the perspectives of key words, hot trends and core authors. The outcomes obtained reveal that in the past 10 years, through the analysis of the technical literature of the textile manufacturing industry, different perspectives were explored where the textile manufacturing industry develops from the initial textile manufacturing treatment. The decolourisation and removal of azo dyes and other traditional textile manufacturing to the composite materials, cotton fabrics leads to the improvement of textile manufacturing wastewater treatment. Currently, the textile manufacturing industry technology has gradually developed towards an intelligent knowledge visualization and decision support. Therefore, this work suggests the developmental directions of textile manufacturing from traditional to intelligent trends, further providing a reference for the later developmental trend and the dynamic planning of China's textile manufacturing industry technology.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

The baseline data from GLORIA-AF phase 2 demonstrate that in newly diagnosed nonvalvular atrial fibrillation patients, NOAC have been highly adopted into practice, becoming more frequently prescribed than VKA in Europe and North America. Worldwide, however, a large proportion of patients remain undertreated, particularly in Asia and North America. (Global Registry on Long-Term Oral Antithrombotic Treatment in Patients With Atrial Fibrillation [GLORIA-AF]; NCT01468701).

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This overview attempts to outline what we currently know about the PCDD/F emission inventories and the source categories therein. Besides the best available control techniques, suggestions are offered on how to reduce the PCDD/F emission factors and emission quantity of some important PCDD/F emission sources. The PCDD/F combustion sources can be classified as either stationary or mobile or minimally/uncontrolled combustion sources. The major stationary sources of PCDD/Fs are metal production processes, waste incineration, heat and power plants, and fly ash treatment plant. Crematories, vehicles, residential boilers and stoves are of key concern due to their proximity to residential areas and their relatively lower lying stacks and exhaust gases, which may result in great impact to their surrounding environment.Moreover, we offered our perspectives on how to improve the quality and representative of the PCDD/F emission factors to attain PCDD/F inventories which correspond more to reality. These points of view include: (1) PCDD/F contributions during start-up procedures of MSWIs should be considered, (2) the sampling times of stack flue gases for EAFs and secondary metal smelters should correspond to whole smelting process stages, (3) longer flue gas sampling time should be executed for power plants, (4) direct exhaust samplings from tailpipes for mobile sources, (5) development of an open burn testing facility that can reflect the real open burning conditions, and (6) long-term sampling techniques like AMESA are suggested to used exclusively for the most contributed PCDD/F stationary sources.

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The sharing economy has developed rapidly in recent years using both business‐to‐customer (B2C) and customer‐to‐customer (C2C) models. This has exerted a profound impact on incumbent firms that follow a traditional sales model. Although the effects of B2C or C2C sharing in certain scenarios have been studied by prior literature, the effect of external B2C sharing has not been considered. Furthermore, the possible distinction between the two sharing effects as well as incumbent firms’ decisions on the sales and sharing models under the internal and external environments have not been addressed. This study compares the effects of B2C and C2C sharing in an internal sharing scenario where an incumbent firm can extend into the sharing business. Due to the difference in sharing agents, we also consider an external sharing scenario where an independent entrant firm can provide B2C or C2C sharing and strategically set price. From the perspectives of product cost and sharing transaction cost, we present several new managerial insights to expand on existing literature. First, under the internal sharing scenario, interestingly, the incumbent firm benefits from extending into the B2C or C2C sharing business only when the product cost is above a threshold, and it prefers to extend into the C2C sharing business unless the per‐period transaction cost of C2C sharing is much higher than that of B2C sharing. In addition, it is shown that the incumbent firm may need to produce more products for sales, or maintain lower sharing supply when it extends into the B2C sharing business than those when it extends C2C sharing, which is somewhat counter‐intuitive. Under the external sharing scenario, we observe that the B2C sharing business benefits the incumbent firm merely when the product cost is high, similar to the impact of C2C sharing. Meanwhile, if the per‐period transaction cost of C2C sharing is much higher than that of B2C sharing, then the positive impact of external B2C sharing on the incumbent firm’s profitability should be stronger than that of external C2C sharing. Moreover, external B2C sharing actually increases the sales demand of the incumbent firm under the conditions of low product cost and high sharing transaction cost, while external C2C sharing might increase it as well in the condition of high product cost. Both external B2C and C2C sharing may lead to a higher rental price than internal sharing in the presence of high product cost. Furthermore, even though the product cost is low, there should be higher customer surplus and total social welfare in the external B2C or C2C sharing scenarios. For constructing a comprehensive framework of sharing scenarios, we also extend our model to a setting where the incumbent firm could extend both B2C and C2C sharing in the internal and external environments. It is shown that the incumbent firm always extends into the sharing business to compete against the entrant firm in the external sharing scenario.