With the development of digital technologies such as cloud computing, big data, and 5G, omni-channel retailing has become the direction of the retail industry reform. To understand the research context, hot spots, and...
With the development of digital technologies such as cloud computing, big data, and 5G, omni-channel retailing has become the direction of the retail industry reform. To understand the research context, hot spots, and future development trend of global omni-channel retailing in the past decade and provide a reference for relevant research, this paper collects relevant articles in the WOS database from 2011 to 2020, uses the co-word analysis method to make statistics and analysis on keywords, and uses Bicomb, Spss and Excel software to conduct cluster analysis and strategic coordinate analysis on omni-channel retailing research. The results show that the research on omni-channel retailing logistics and supply chain, the research on omni-channel integration and management, and the research on omni-channel digital marketing and consumer behavior are the three hot areas of omni-channel retailing research. In the future, the mixed methods combining quantitative researches (such as machine learning, artificial neural network, and quantitative model) with qualitative research (such as case research and interviews) can be used from a mixed perspective of consumers and retailers to conduct in-depth research on the operation mechanism and the decision-making mechanism of omni-channel retailing and the interdisciplinary research combining omni-channel and organizational management.
ALICE (A Large Ion Collider Experiment) is the heavy-ion detector designed to study the physics of strongly interacting matter and the quark-gluon plasma at the CERN Large Hadron Collider (LHC). The online data Qualit...
ALICE (A Large Ion Collider Experiment) is the heavy-ion detector designed to study the physics of strongly interacting matter and the quark-gluon plasma at the CERN Large Hadron Collider (LHC). The online data Quality Monitoring (DQM) is a key element of the data Acquisition's software chain. It provide shifters with precise and complete information to quickly identify and overcome problems, and as a consequence to ensure acquisition of high quality data. DQM typically involves the online gathering, the analysis by user-defined algorithms and the visualization of monitored data. This paper describes the final design of ALICE'S DQM framework called AMORE (Automatic MOnitoRing Environment), as well as its latest and coming features like the integration with the offline analysis and reconstruction framework, a better use of multi-core processors by a parallelization effort, and its interface with the eLogBook. The concurrent collection and analysis of data in an online environment requires the framework to be highly efficient, robust and scalable. We will describe what has been implemented to achieve these goals and the procedures we follow to ensure appropriate robustness and performance. We finally review the wide range of usages people make of this framework, from the basic monitoring of a single sub-detector to the most complex ones within the High Level Trigger farm or using the Prompt Reconstruction and we describe the various ways of accessing the monitoring results. We conclude with our experience, before and after the LHC startup, when monitoring the data quality in a challenging environment.
The research purposes are 1) Analyse the results of bibliometric mapping visualization on research trends ethnoscience-based learning and its contribution to physics learning, 2) Analyse author collaboration on resear...
The research purposes are 1) Analyse the results of bibliometric mapping visualization on research trends ethnoscience-based learning and its contribution to physics learning, 2) Analyse author collaboration on research trends ethnoscience-based learning, and 3) Recommendations for future ethnoscience research in physics learning. In this research, the descriptive method is applied with a bibliometric approach. data was obtained through the Scopus and Google Scholar databases published in the period 2011-2020. The results showed that ethnoscience-based learning made a major contribution to science learning at the elementary to junior high school level and physics at the high school to university level. Ethnoscience can be integrated with learning innovations in schools and can also train/improve students' thinking skills. Ethnoscience also dominates the social sciences. The recommended research trends in the Scopus and Google Scholar databases are physics learning about ethno-stem, development of ethnoscience-based physics teaching materials, ethnoscience-based physics learning to train students' scientific literacy and problem-solving skills.
Illiterate is someone who can’t read and can’t write to communicate. The large number of people who are still illiterate in a country is one indicator that shows the country is still not developed. The percentage of...
Illiterate is someone who can’t read and can’t write to communicate. The large number of people who are still illiterate in a country is one indicator that shows the country is still not developed. The percentage of illiteracy in 2011 was 4.63 percent of the population in Indonesia, and in 2019 it fell to 1.78 percent of the population in Indonesia who are still illiterate from the total population of Indonesia. The factors that cause illiteracy can be identified from the poverty of the population, dropping out of elementary school (SD), and the condition of the community’s social environment. This study aims to improve the literacy skills of the Indonesian people. The data used is sourced from the Central Statistics Agency. The data entered is the population aged 10 years and over who are illiterate (percent) in Indonesia. The number of records used is 34 provinces which are divided into the last 3 years, 2018, 2019, and 2020. The data processing process is carried out using the Geoda application for later visualization. Based on the research conducted, it was found that there has been a decline in illiteracy in the provinces in Indonesia from year to year which shows that the quality of Indonesian human resources can be said to be much better. It is hoped that this research can be used as a basis for decision making for the government in an effort to eradicate illiteracy by province in Indonesia in order to produce quality Indonesian human resources.
暂无评论