When the COVID-19 pandemic began, formal frameworks to collect data about affected patients were lacking. The COVID-19 and Cancer Consortium (CCC19) was formed to collect granular data on patients with cancer and COVID-19 at scale and as rapidly as possible. CCC19 has grown from five initial institutions to 125 institutions with >400 collaborators. More than 5,000 cases with complete baseline data have been accrued. Future directions include increased electronic health record integration for direct data ingestion, expansion to additional domestic and international sites, more intentional patient involvement, and granular analyses of still-unanswered questions related to cancer subtypes and treatments.

Sudden major public health events once again test the ability of the whole society to deal with emergencies. Universities are no exception. There are many kinds of management work in Colleges and universities, among which teaching management is the most important one, which is also one of the most affected in this epidemic situation. Therefore, in view of the problems of teaching management in Colleges and universities exposed in the epidemic, combined with the characteristics of independent colleges, starting from the aspects of teaching guarantee mechanism, teaching supervision mechanism, teaching process construction, teaching resources construction and so on, the advantages of big data technology, such as large amount of information, easy to communicate and easy to integrate, are fully used to put forward a set of open-minded, perfect mechanism and advanced technology teaching management emergency response mechanism.

Abstract:Purpose: Collusion is a common behavior of oligarch enterprises aiming to get an advantage in market competition. The purpose of the research is to explore positive or negative effects from the electricity generation manufacturers' collusion through statistical analysis approach. To be exact, these effects are discovered both in market economy at a macro-economic level and in enterprise behaviors at a micro-economic level.Design/methodology/approach: This research designs a model as an extension of Porter's model (Green & Porter, 1984). In this model FIML is applied. Taking price bidding project launched in China's power industry as an example, this paper conducts an empirical research on its relevant price data collected from subordinate power plants of China's five power generation groups in the pilots. Findings:It is found in this paper that power generation enterprises are facing collusion issues in the market. To be exact, it is such a situation in which non-cooperative competition and collusion alternate. Under the competition, market is relatively steady, thus forming a lower network price. It is helpful to the development of the whole industry. However, once Cartel is formed, the price will rise and clash with power enterprises and transmission-distribution companies concerning the interests conflicts. At the same time, a higher power price will form in the market, making consumers suffer losses. All of these are bad for industry development.-943-Journal of Industrial Engineering and Management -http://dx.doi. org/10.3926/jiem.1515 Not only the collusion of power enterprises affects power price but also the market power that caused by long-time Cartel will reduce the market entrant in electricity generation. Market resources are centralized in the hands of Cartel, causing a low effective competition in the market, which has passive effects on users. Implications:The empirical research also indicates that collusion undoubtedly benefits the power enterprises that involved. As a cooperation pattern, collusion can lead to the synergy between relevant companies. However, collusion harms the benefits of other market entities.During the process of enterprises creating common interests cooperatively, collusion may bring harm to the outside industry.Originality/value: Using empirical research method, the paper takes China's power industry as an example to show the gains and losses of collusion from two aspects, namely market economy and strategic management.

No abstract