Search

Background: Pharmacy intravenous admixture service (PIVAS) center has emerged as an important department of hospitals as it can improve occupational protection and ensure the safety and effectiveness of intravenous infusions. However, there is little research on the standardized capability and risk evaluation of PIVAS by using modern information technology. In this research, we established Regional Pharmacy Intravenous Admixture Services Data Reporting and Analysis Platform (RPDRAP) to improve quality control ability for PIVAS management. RPDRAP including evaluation matrix for quality control monitoring. The construction of platform is based on guidelines for the Construction and Management of PIVAS and management specifications of PIVAS in China. Methods: RPDRAP was established in 2018. This platform comprises a data collection system and a data analysis system. The data collection system consists of 67 data items. Data collection relied on online platforms through data acquisition module. The collected data were analyzed using a model with 20 indicators within the data analysis system. Fifteen hospitals, public comprehensive healthcare facilities with more than 500 beds, participated in the platform's application evaluation. Results: The study revealed significant differences in PIVAS total score, supervisors, and workload between 2020 and 2022. The platform's application results demonstrated improvements in personnel management, work efficiency, and infection control within these PIVAS. Although statistical significance was observed in only 8 out of the 25 items, most of the scores showed an increase, with a small portion remaining unchanged and no decline in scores. Conclusions: This platform can be recommended for PIVAS homogeneous and regional efficient management. The use of this platform not only improves the quality control ability of PIVAS but also enables the management department to quickly grasp the current situation and characteristics of each PIVAS through standardized data collection and analysis. [ABSTRACT FROM AUTHOR]

With the continuous deepening and development of tobacco manufacturing informatization construction, tobacco manufacturing enterprises have the characteristics of strong production capacity, high degree of production automation, and advanced enterprise-level management information system. In order to cooperate with the market and brand strategy of the tobacco industry, the State Tobacco Monopoly Administration has carried out serious strategic thinking on informatization and customized the overall plan and strategic goals. In recent years, China's informatization construction has made great progress, and both industries and enterprises have felt various benefits from the application of information technology. In the deployment and development of mobile services, it is often local and municipal mobile companies that, in order to meet the different needs of the market, immediately carry out corresponding services, resulting in one service for each municipal subsidiary in the same province or one platform for a class of services. Situation is good for quickly meeting user needs at that time. The exchange and communication of enterprise personnel information are becoming more and more frequent, and the collection of enterprise information through mobile has become a new way of enterprise information collection. The work orders, process parameters, documents, notifications, and instructions generated by the planning layer are sent to the production control layer to respond, guide, and trigger the production site events. The ultimate goal of mobile data collection is to gather the collected data into the enterprise production data center, which plays an important role in mobile devices, mobile performance, mobile planning, mobile balancing, mobile prediction, and so on. Based on the unified mobile application data collection method, this paper analyzed and analyzed the design of application architecture in the tobacco enterprise platform and further described the business functions, security performance, and system characteristics of the platform. [ABSTRACT FROM AUTHOR]

This study examines the research methods, topics, and trends of empirical MOOC research to gain a comprehensive understanding of the MOOC phenomenon through reviewing 541 empirical MOOCs research published from 2009 to 2019. The results indicate that: (1) the majority of studies adopted quantitative research methods followed by mixed research methods and qualitative research methods, (2) the most frequently adopted data collection method was survey, followed by platform database and interviews, (3) almost half of the studies used at least two data collection methods such as survey and interview, (4) the majority of researchers adopted descriptive statistics for data analysis, followed by inferential statistics and content analysis, (5) the research topics primarily focused on students, followed by design-focused, context and impact-focused, and instructor-focused. Among these student-focused topics, learner retention, learning experience, social learning, and engagement were the most mentioned, and (6) the affiliations of the first authors of the MOOC studies were mainly from the U.S. followed by China and Spain. Implications and future research were discussed. [ABSTRACT FROM AUTHOR]

The aim of this study was to explore the purchase willingness of Chinese consumers for pork, beef, lamb, and rabbit meat. A conceptual framework and focus group discussions were adopted to design the questionnaire which included experience, eating habits, purchase drivers, purchase location, seasonality, and willingness to purchase red meat among Chinese consumers. Data collection was undertaken using an online platform questionnaire, with 4039 meat consumers participating in this study. By constructing the partial least squares – path modeling (PLS-PM) to explore the concerns of Chinese consumers while purchasing various types of red meats as well as the effect of these questions on consumers' willingness intensity to purchase red meat. Willingness intensity to purchase lamb is significantly affected by experience, seasonality, purchase location, eating habits, willingness, purchase drivers, and personal information; beef is affected by experience, seasonality, purchase location, eating habits, willingness, and personal information; pork is mainly affected by eating habits and purchase drivers; while eating habits, purchase location, and personal information have positive impacts on willingness intensity to purchase rabbit meat. This study developed the orthogonal matching pursuit – stochastic gradient descent (OMP-SDG) model, which integrated the questionnaire collecting personal information with the questionnaire on Chinese consumers' perceptions of red meat. The program can more precisely forecast which types of red meat people like and their degree of willingness. Finally, Chinese consumers preferred beef, lamb, pork, and rabbit meat in that order. They also prefer local meat, believing it to be of high quality and providing a satisfactory sensory experience, appearance, and saturation. • PLS-PM models identified factors affecting red meat willingness. • The OMP-SGD method was proposed to analyze fused data. • Data fusion and simultaneous measurement of multiple questionnaires were used. [ABSTRACT FROM AUTHOR]

This article explores the fluidity and dynamicity of a Chinese PhD student's research experience in negotiating her identities in a longitudinal ethnographic study, first in China and then in the UK. It adopts retrospective and reflexive document analysis of research journals written by her over a 5-year period of overseas study. The analytical framework for the critical reflection of knowledge production synthesizes key concepts of ontology, epistemology, reflexivity, positionality, serendipity, and intersectionality to describe and interpret the researcher's struggles between insider and outsider, uncertain feelings about different values and beliefs, and emotions due to changing circumstances of family life. The reflexive analysis indicates that PhD students who undertake qualitative studies would function in a far more fluid manner than the often simplistically documented binary roles between an "insider" participant and an outsider researcher in their theses. The article argues that this fluidity in identity shifts and complexity in data collection and analysis are in most cases part and parcel of the research process, which is crucial for researchers to be aware of. Researchers should feel confident to tell the "messy stories" reflexively so as to enhance credibility and trustworthiness of the research findings. [ABSTRACT FROM AUTHOR]

This article explores the fluidity and dynamicity of a Chinese PhD student's research experience in negotiating her identities in a longitudinal ethnographic study, first in China and then in the UK. It adopts retrospective and reflexive document analysis of research journals written by her over a 5-year period of overseas study. The analytical framework for the critical reflection of knowledge production synthesizes key concepts of ontology, epistemology, reflexivity, positionality, serendipity, and intersectionality to describe and interpret the researcher's struggles between insider and outsider, uncertain feelings about different values and beliefs, and emotions due to changing circumstances of family life. The reflexive analysis indicates that PhD students who undertake qualitative studies would function in a far more fluid manner than the often simplistically documented binary roles between an "insider" participant and an outsider researcher in their theses. The article argues that this fluidity in identity shifts and complexity in data collection and analysis are in most cases part and parcel of the research process, which is crucial for researchers to be aware of. Researchers should feel confident to tell the "messy stories" reflexively so as to enhance credibility and trustworthiness of the research findings. [ABSTRACT FROM AUTHOR]