China’s Teachers Flow System in Compulsory Education From the Perspective of Human Study

The teachers flow system is an important key to the balanced development of compulsory education in China. The subjectivity of teachers as human is ignored in present flow policies which highlight excessively teachers’ groupment and clear up class feature and individuality. The teachers flow system should be constructed in the perspective of human study, satisfying teachers’ individual needs, accelerating the growth of group professionalization and realizing the improvement of teachers’ human subject

Cross-Domain Labeled LDA for Cross-Domain Text Classification

Cross-domain text classification aims at building a classifier for a target domain which leverages data from both source and target domain. One promising idea is to minimize the feature distribution differences of the two domains. Most existing studies explicitly minimize such differences by an exact alignment mechanism (aligning features by one-to-one feature alignment, projection matrix etc.). Such exact alignment, however, will restrict models' learning ability and will further impair models' performance on classification tasks when the semantic distributions of different domains are very different. To address this problem, we propose a novel group alignment which aligns the semantics at group level. In addition, to help the model learn better semantic groups and semantics within these groups, we also propose a partial supervision for model's learning in source domain. To this end, we embed the group alignment and a partial supervision into a cross-domain topic model, and propose a Cross-Domain Labeled LDA (CDL-LDA). On the standard 20Newsgroup and Reuters dataset, extensive quantitative (classification, perplexity etc.) and qualitative (topic detection) experiments are conducted to show the effectiveness of the proposed group alignment and partial supervision.Comment: ICDM 201

Research on Age-Friendly Design of Living Spaces in Institutional Elderly Care Models

With the increasing trend of population aging, elderly care institutions have become important places for the daily lives of older adults. However, there are still many issues in the current design of living spaces in institutional elderly care models, such as unreasonable spatial layout, inadequate functionality, and inconvenient facilities. To address these issues, this paper conducts a comprehensive analysis through literature review and field research, integrating the physiological and psychological characteristics of older adults and the advantages and disadvantages of living spaces in actual elderly care institutions. Based on spatial design principles and technical approaches, this paper summarizes the key points and strategies for designing age-friendly living environments for older adults in institutional elderly care models. This provides a reference basis for the design of living spaces for older adults in elderly care institutions in China, promoting the improvement of quality of life for older adults and the development of healthy aging care

Red Blood Cell Transfusion and Functional Dose

Objective:The objective is to study the relationship between cell age and function in the process of the red blood cell (RBC) normal metabolism and investigate the functional changes of red blood cells in the preservation process

Survey and Research on the Current Situation of Rural Happy Old Age Stations in Mentougou District

According to the 2020 Beijing Population Census Yearbook, rural areas in the Mentougou District of Beijing have long entered into a heavily aging society, but the construction of the pension service system and the station for happy old age, which are supposed to be appropriate, is lagging far behind. For this reason, this paper mainly adopts the field research method to carry out field research on the happy old age stations in the three most representative villages in Mentougou District, to understand the situation of the old age service system and the construction of happy old age stations in Mentougou, and to summarize, summarize and analyze the problems in the status quo. It will provide a reference basis for the subsequent construction of the pension service system and Happy Old Age Stations based on the integration of rural resources, so as to promote the improvement of the quality of life of the elderly in rural areas and the development of the healthy pension industry

D2L Learning Management System in America: It’s Character and It’s Inspiration Towards Online Education of China

After 20th century 90s, online education becomes popular all around the world. Along with the development of information technology, online education starts to affect traditional education and learning methods. In this era which is new media frequently used while interaction and participation, it deeply changed the learning activity essence and form. America, as one the example of mature online education, used D2L learning management system in higher education not only to broaden and deepen the students knowledge, but also to provide students with multi-skill training opportunity. It emphasize the research and course teaching interaction as well as its parallel development,improved students learning quality in higher education.  This article, through character analysis of  D2L learning management system in America, try to inspire China’s online education with D2L’s successful experience. Also try to propose a feasible suggestion to improve China’s higher education online environment, form  a new model of  China’s online education

Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling

Understanding determinants of success in academic careers is critically important to both scholars and their employing organizations. While considerable research efforts have been made in this direction, there is still a lack of a quantitative approach to modeling the academic careers of scholars due to the massive confounding factors. To this end, in this paper, we propose to explore the determinants of academic career success through an empirical and predictive modeling perspective, with a focus on two typical academic honors, i.e., IEEE Fellow and ACM Fellow. We analyze the importance of different factors quantitatively, and obtain some insightful findings. Specifically, we analyze the co-author network and find that potential scholars work closely with influential scholars early on and more closely as they grow. Then we compare the academic performance of male and female Fellows. After comparison, we find that to be elected, females need to put in more effort than males. In addition, we also find that being a Fellow could not bring the improvements of citations and productivity growth. We hope these derived factors and findings can help scholars to improve their competitiveness and develop well in their academic careers