Suchergebnisse

China's rise as an economic power has attracted enormous attention: from policy makers to business circles, and from journalists to academics worldwide. The economic reform and 'open door' policies carried out in the late 1970s have brought the world's most populous country on to a fast track of economic growth and increasing openness. The transition from a centralized command economy to a market economy has been accompanied by unprecedented social change, but it has taken place without any substantial change in the political structure. The clear contrast between 'continuities and discontinuities' seems to suggest a different model of transition in comparison with that experienced by the former USSR and other Eastern European countries. For all these reasons, Chinese media undoubtedly make an interesting case for study.

The mythology of the news agency, as the earliest news organization to operate globally, has been used to explain its ability to build up connections with its counterparts, and media and non-media organizations, as well as to use these connections to good advantage. This article offers a social-historical analysis of China's Xinhua News Agency and Chinese newspapers, focusing on their interrelations. It attempts to delineate how a national news agency in a non-capitalist country went through a process of development, and how it has changed during the transition from a command economy to market-oriented economy. Xinhua's experience of dealing with newspapers provides a distinctive example: it started life as an amalgamation of an agency and several newspapers and then evolved towards the path followed by a great number of news agencies since the 19th century. The movement of Xinhua towards adopting Western experiences illustrates a globalized tendency, which has been experienced by leading international news agencies and is still experienced by a number of national players in the developing world. This tendency leads news agencies, including Xinhua, to undergo a transition from bi-directional dependency to an agency-client relationship.

Due to rapid IT advances and escalated globalization, business digitalization has been accelerating. However, the average success rate of such endevors remains low. As an attempt to reveal why the digital transformation of a business is still so risky, this research analyzes how commonly encountered risks in IS projects are responded to and how the responses affect project outcomes. Resulting from the authors' previous work, they hypothesize that information systems are much more complex as they play an increasingly pivotal role in executing most business functions, and subsequently, the risk pattern of IS projects may have evolved, and that as businesses keep adding more information systems to the enterprise infrastructure, rather than via a piecemeal approach, a framework for enterprise-wide digital integration must be established to guide and evaluate business digitalization. The finding from this research should largely validate their hypotheses and allow them to call for a refocus of the efforts on digitalizing an enterprise.

AbstractSimultaneous partial nitrification, anammox and denitrification (SNAD) process for treating anaerobic digester liquor of swine wastewater (ADLSW) was achieved successfully in a continuous ‐flow biofilm reactor by gradually increasing the influent ammonium (

) concentration whilst controlling the low dissolved oxygen (DO) concentration. After 180 days of operation, the average removal efficiencies of

, total nitrogen (TN) and COD were 61.59, 55.76 and 75.21% respectively. Also, the average conversion efficiency

of total effluent nitrite and nitrate production to ammonia consumption was kept at about 0.053 at the last stage (days 181‐218). Anaerolineaceae (26.92%), Candidatus Brocadia (3.96%), Candidatus‐Kuenenia (4.69%), Armatimonadetes‐norank (4.25%), Limnobacter (4.15%), Xanthomonadaceae (3.07%) and Ignavibacterium (2.87%) were the dominant genera in the SNAD system for treating ADLSW. The quantitative polymerase chain reaction (qPCR) results further confirmed that the co‐existence and enrichment of anammox bacteria, ammonium oxidising bacteria (AOB) and denitrifying bacteria (HB) in the bioreactor.

Anomaly detection in sentiment analysis refers to detecting abnormal opinions, sentiment patterns or special temporal aspects of such patterns in a collection of data. The anomalies detected may be due to sudden sentiment changes hidden in large amounts of text. If these anomalies are undetected or poorly managed, the consequences may be severe, e.g. A business whose customers reveal negative sentiments and will no longer support the establishment. Social media platforms, such as Twitter, provide a vast source of information, which includes user feedback, opinion and information on most issues. Many organizations also leverage social media platforms to publish information about events, products, services, policies and other topics frequently. Thus, analyzing social media data to identify abnormal events in a timely manner is a beneficial topic. It will enable the businesses and government organizations to intervene early or adopt proper strategies if needed. However, it is also a challenge due to the diversity and size of social media data. In this study, we survey existing anomaly analysis as well as sentiment analysis methods and analyze their limitations and challenges. To tackle the challenges, an enhanced sentiment classification method is proposed and discussed. We study the possibility of employing the proposed method to perform anomaly detection through sentiment analysis on social media data. We tested the applicability and robustness of the method through sentiment analysis on tweet data. The results demonstrate the capabilities of the proposed method and provide meaningful insights into this research area.