Search

Building Information Modeling (BIM) has been one of the most significant and widely adopted advanced technologies in the architecture, engineering, and construction (AEC) industry in recent years. Unfortunately. the current BIM curriculum in colleges does not adequately prepare students for real-world AEC industry practices. Besides, numerous concerns regarding the competency requirements of the AEC industry for BIM practitioners and the targeted design of teaching content of BIM curricula, etc. remain unanswered. To enhance the preparation of Bl M students for real-world AEC work. this study collected 280 questionnaires from 27 administrative regions in China and conducted data analysis to assess the disparity between the competency requirements in the AEC industry and the existing BIM curriculum in colleges. Additionally. this study presents innovative theories, namely directed closed-loop and undirected closed-loop theories, derived from the closed-loop management system. These theories are effectively integrated into college BIM education as project closed-loop and content closed-loop theories. it validates the effectiveness of the curriculum design through BIN(1 students' academic performance. Results demonstrate that the closed-loop management design of the BIM curriculum can better match the AEC industry's competency requirements and that BIM students will better adapt to realworld AEC work. [ABSTRACT FROM AUTHOR]

Aiming at the problems of weak safety awareness of personnel, formalization of safety training and unspecific management methods of hazardous chemicals in the safety management of university laboratories, this paper first analyzes the current situation of safety access and safety out of personnel and articles in university laboratories by using the fishbone diagram, and then combined with PDCA theory, a closed-loop management system for laboratory safety access and safety out is designed and developed. The system comprehensively considers the safety awareness and safety behavior of laboratory personnel, the safety state of objects, and environmental factors, and covers the double access and double access of personnel and objects. The process of laboratory safety access and access is step-by-step, so as to enhance the safety awareness of teachers and students, improve the laboratory safety management status, and improve the overall safety management level of the experiment. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Heilongjiang University of Science & Technology is the property of Journal of Heilongjiang University of Science & Technology Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: The novel coronavirus disease 2019 (COVID-19) confirmed cases overseas have continued to rise in the last months, and many people overseas have chosen to return to China. This increases the risk of a large number of imported cases which may cause a relapse of the COVID-19 outbreak. In order to prevent imported infection, the Shenzhen government has implemented a closed-loop management strategy using nucleic acid testing (NAT) for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and requiring 14 days of medical observation for individuals with an overseas tour history (Hong Kong, Macao, Taiwan province and other countries). Our study aims to describe the status of COVID-19 infection among people entering Shenzhen, and to evaluate the effect of the closed-loop management strategy.Methods: We undertook a descriptive study and risk analysis by the entry time, time of reporting, and local confirmed cases in countries of origin. The NAT were completed in Shenzhen Center for Disease Control and Prevention (CDC), ten district-level CDCs, and fever clinics.Results: A total of 86,844 people from overseas entered Shenzhen from January 1 to April 18, 2020; there were 39 imported COVID cases and 293 close contacts. The infection rate of people entering was 4.49‰ [95% Confidence interval (CI): 3.26‰-6.05‰]. Fourteen imported cases (35.9%) came from the UK, and nine (23.08%) came from the USA. People entering from the USA since March 9 or from the UK since March 13 are the high-risk population. As of July 17, there have been no new confirmed cases in Shenzhen for 153 days, and the numbers of confirmed case, close contacts, and asymptomatic cases are 0.Conclusions: The closed-loop management has been effective in preventing imported infection and controlling domestic relapse. The distribution of entry time and report time for imported cases overseas was similar. This shows that it is important to implement closed-loop management at the port of entry. [ABSTRACT FROM AUTHOR]

In order to solve the problems existing in the management of information collection, operation and maintenance, such as slow fault detection, difficult location, lack of predictability, difficult initiative, emphasis on technical quality, light of indicators, lack of process, lagging behind, difficulty to precipitate knowledge, low efficiency and so on, a data acquisition and analysis platform based on data homology management based on Hadoop is built. The platform provides a basic supporting framework for big data analysis, supports online and offline distributed data processing capabilities, and provides a unified data access and storage interface to form a closed-loop management system framework. The data loading subsystem is also implemented, which provides different effective data acquisition schemes for the collection of multi-source heterogeneous operation and maintenance logs. The correlation analysis subsystem of operation and maintenance logs is designed and implemented, providing the ability of feature extraction, clustering, on-line classification and correlation analysis for off-line and on-line data analysis of logs. The framework is constructed and designed based on OSGI framework. Finally, the key technical indicators of the system are tested. It is proved that the system can effectively promote data homology, quality and business operation and maintenance efficiency. [ABSTRACT FROM AUTHOR]