scholarly journals An Empirical Study on the Precise Employment Situation-Oriented Analysis of Digital-Driven Talents with Big Data Analysis

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Lin Li ◽  
Sang-Bing Tsai
Keyword(s):  
Big Data ◽  
College Graduates ◽  
Pearson Correlation ◽  
Current Situation ◽  
Evaluation Index System ◽  
Web Crawler ◽  
Overall Design ◽  
The Status ◽  
Stakeholder Perspective ◽  
Database Technology

This paper conducts an in-depth research analysis on the precise employment of college graduates in the context of big data using a number-driven approach. The textual information of the study is obtained by using in-depth interviews, and the evaluation index system of college students’ employment quality is constructed by combining the step-by-step coding method with rooting theory. The research on the current situation of employment recommendation platform research and the application status of big data in the employment recommendation platform is explored by using a bibliometric approach. And the innovative use of web crawler technology is used to comprehensively understand the recommendation function and status quo of the same type of recommendation platform, which provides a reference for the research of this platform. Based on the preliminary analysis of platform requirements and overall design, the overall design and functional implementation of the big data employment recommendation platform are carried out by using big data crawler technology, big data architecture technology, text mining technology, database technology, etc. The construction of a recommendation module based on user history information, a recommendation based on real-time user online behavior data, and hybrid recommendation carried out on the recommendation module to grasp all-round the platform is built based on a stakeholder perspective. Based on the platform construction, the initial platform operation and maintenance management mechanism was established from the stakeholder’s perspective. The Pearson correlation coefficient is used to objectively evaluate the current situation of talent supply in universities and talent demand in enterprises from the perspective of image and data. In the research on the development status of the big data education industry, the Lorenz curve and Gini coefficient are used to match the status of new big data majors with their college construction volume in each province and provide data support for the reasonable adjustment of majors setting in each province according to the education level.

scholarly journals The Physical Health Evaluation of Adolescent Students Based on Big Data

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Chunyan Fan
Keyword(s):  
Big Data ◽  
Physical Health ◽  
Evaluation Index System ◽  
Health Evaluation ◽  
Young Generation ◽  
Adolescent Students ◽  
Capacity Evaluation ◽  
The Status ◽  
Physical Health Problems ◽  
Health Quality

Globally, it is widely accepted that the physical health of the young generation is continuously declining which remained unnoticed in many countries including China. Therefore, it is very important to scientifically investigate the evaluation index system and effectively interrogate the current health position of the young generation especially students. The results regarding health issues will be further investigated in terms of finding the optimal solutions for improving the status quo. Considering adolescent physical health evaluation indicators of Chinese students, this paper introduces the new era of adolescent physical health evaluation which should focus on “health quality indicators” for analyzing the objectivity and applicability of the indicators through testing and research methods. The method of simulation experiment research is used to demonstrate the scientificity and validity of the index. The optimization of the physical health evaluation indicators of adolescent students helps in assessing the health quality of adolescents, scientifically and accurately. In addition, it can effectively improve the physical health problems faced by adolescents. The proposed model achieves the evaluation indicators of adolescent health quality, collects physical health information and exercise data of adolescent students in a certain area of the northwest through big data, and conducts research as the research object. Furthermore, through the collation and analysis of the correlation data of the aerobic capacity evaluation indicators, the results show that the mid-run test value currently used in China is negatively correlated with the relative value of the measured maximum oxygen uptake on the treadmill.

scholarly journals Standardization in biobanking – between cooperation and competition

2019 ◽  
Vol 43 (6) ◽  
pp. 317-328 ◽  
Author(s):  
Bettina Meinung ◽  
Dunja Martin ◽  
Uwe Zimmermann
Keyword(s):  
Active Participation ◽  
Current Situation ◽  
Conformity Assessment ◽  
International Context ◽  
Cooperation And Competition ◽  
The Status ◽  
Performance Monitor ◽  
Per Se ◽  
Assessment Standard ◽  
A Performance

Abstract This article presents the current situation of German biobanks and shows future fields of action in the European and international context on the basis of upcoming legal and normative challenges. It gives an overview of the development of the international biobank standard ISO 20387 and the commitment of German biobank experts in the ISO committee TC276. Less attention than the biobank standard per se has so far been paid to the basic mechanisms by which standards are developed and the potential of their application and accreditation. In this sense, this article deals with the motivation for active participation in standardization projects. We discuss the status of ISO 20387 as a conformity assessment standard and the consequence of accreditation as a performance monitor.

Plébániai lét – ma

2021 ◽  
Vol 24 (1) ◽  
pp. 25-53
Author(s):  
Csaba Török
Keyword(s):  
Current Situation ◽  
Great Flexibility ◽  
Pope Francis ◽  
Catholic Clergy ◽  
The Status

„The parish is not an outdated institution; precisely because it possesses great flexibility, it can assume quite different contours depending on the openness and missionary creativity of the pastor and the community“ (Evangelii gaudium 28). The words of Pope Francis give us an actual and imminent inspiration to explore the status of the being-in-parish and the being-a-parish experience of the catholic clergy and faithful. We try to identify the basic elements of the biblical understanding of παροικία, to analyze the current situation and develop some possible principles for the (re)forming of parochial existence, highlighting the main challenges of this ancient and till always newly thinkable and realizable institution.

Uses of content analysis in economic sciences: An overview of the current situation and prospects

2021 ◽  
pp. 79-95
Author(s):  
A. N. Oleinik
Keyword(s):  
Content Analysis ◽  
Mixed Methods ◽  
Qualitative Data ◽  
Web Of Science ◽  
Current Situation ◽  
Economic Information ◽  
The Status ◽  
On Line ◽  
The Creation

The article discusses the status of quantitative and qualitative data in economic sciences, as well as methods for transforming data into information and knowledge. Particular attention is devoted to content analysis as a set of methods for aggregating, processing and analyzing qualitative data; its forms (qualitative, quantitative and mixed methods) and uses by economists. Content analysis appears to be particularly suitable for non-orthodox economists because of their refusal to consider price as the only source of economic information. The content analysis of metadata of articles indexed in Web of Science and eLibrary suggests that Russian economists still have insufficient familiarity with the principles of content analysis and their applications to research compared with their Western counterparts. It is argued that the creation of on-line platforms for content analysis and on-line banks of qualitative data may become a trigger for changing this situation.

scholarly journals Evaluation Method for Green Ecological Airports in China Based on Combination Weighting

2018 ◽  
Vol 30 (4) ◽  
pp. 419-428
Author(s):  
Danwen Bao ◽  
Xiaoling Zhang ◽  
Jiayu Gu
Keyword(s):  
Evaluation Method ◽  
Rank Correlation ◽  
Resource Conservation ◽  
Evaluation Index System ◽  
Weighting Method ◽  
Environmental Friendliness ◽  
International Airport ◽  
Spearman’S Rank Correlation ◽  
Spearman’S Rank Correlation Coefficient ◽  
The Status

To scientifically and accurately evaluate the status of the development of green airports in China, evaluation methods of green, ecological airports are established in this paper. To address the shortcomings in subjective and objective weighting methods, we propose a combination weighting method based on Spearman’s rank correlation coefficient and evaluation grades based on interval approximation. At the same time, by taking into account resource conservation, environmental friendliness, operation efficiency, and people-oriented service, we propose an evaluation index system and an interval number for each index. Lastly, the theory is applied to five large airports in different regions of China. Analysis of the evaluation results shows that Shanghai Pudong International Airport (PVG) and Guangzhou Baiyun International Airport (CAN) have the highest scores for the resource conservation and environmental friendliness indexes, thus indicating that the development of a green ecological airport is closely related to its passenger transportation scale and economic strength. All considered airports showed the need for upgrading public  service facilities and constructing intelligent equipment. The method proposed in this paper is reasonable  and reliable; therefore, it can provide guidance for the evaluation and construction of green, ecological  airports.

scholarly journals Mencari Bentuk Mengajar Entrepreneurship pada Perguruan Tinggi

2010 ◽  
Vol 1 (2) ◽  
pp. 293
Author(s):  
Bambang Pratama
Keyword(s):  
Extracurricular Activities ◽  
College Graduates ◽  
Career Path ◽  
Current Situation ◽  
College Culture ◽  
Effective Form ◽  
The World

The high number of unemployment in Indonesia is caused by college graduates not brave enough to determine a career path as an entrepreneur. The embedded bad image and false myths about entrepreneurs has made its spread very low in Indonesia. Universities in Indonesia are looking for a more effective form of teaching entrepreneurship so as to produce graduates who are productive rather than educated, but unemployed graduates. Entrepreneurship is very unique because it contains multiple disciplines. There are various forms of teaching entrepreneurship used by different countries in the world from various literatures. Universities and entrepreneur lecturers should be able to take an example on (adapt and adopt) how to teach according to the college culture and taught students, without having to look at what disciplines the student is enrolled in, also by integrating the values of entrepreneurship in the curriculum and extracurricular activities as supporting activities. Thus, entrepreneurial atmosphere can be created within the campus so that students, during their stay in college, do not seem to have lived and becoming used to a dynamic entrepreneurial environment, inspiring, and full of innovation. Thus, graduates will be braver in becoming an entrepreneur without it becomes their last choice like the current situation. 

scholarly journals Interactive Application of Virtual Reality and Intelligent Big Data in Landscape Design

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Huashan Zhan
Keyword(s):  
Big Data ◽  
Performance Evaluation ◽  
Research Method ◽  
Landscape Design ◽  
Simulation System ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Bp Network ◽  
Performance Evaluation Index ◽  
Interactive Application

In order to improve the accuracy and efficiency of performance evaluation, the interactive application of virtual reality and intelligent big data in landscape design is proposed. Clara algorithm is used to mine the performance evaluation index data of landscape simulation design. The performance evaluation index system of landscape simulation system is established based on the data mined. BP network is used to build a comprehensive evaluation model. The expert scoring method is the evaluation index system scoring, which is used as the input of BP network, and the expected output is a neuron. The value of the neuron represents the comprehensive performance evaluation value of the landscape simulation system. The experimental results show that the evaluation results of the research method are consistent with the expert evaluation results, with high accuracy; with the increasing number of systems, the evaluation efficiency of the research method is faster.

scholarly journals Design of College English Halving Classroom Teaching System Based on Big Data

2021 ◽  
Vol 2066 (1) ◽  
pp. 012082
Author(s):  
Guilan Chen
Keyword(s):  
Big Data ◽  
Classroom Teaching ◽  
Test Results ◽  
Dynamic Configuration ◽  
Teaching Resources ◽  
Teaching System ◽  
College English ◽  
Training Models ◽  
The Status ◽  
Talent Education

Abstract With the development of big data and the continuous advancement of education informatization, the single lecture-based classroom teaching model no longer meets the development requirements of the society for the development of talent education and training. Under the environment of big data technology, how to innovate teaching models and talent training models becomes the focus of the current classroom teaching reform. This article aims to study the design of the college English bisection classroom teaching system based on big data. On the basis of introducing the bisection classroom, the basic theory of teaching system design and the design principles of the bisection classroom teaching system, the theoretical analysis and top-level design of the system login module and the teaching system that adaptively integrates teaching resources according to the status of college students are carried out. Finally, an experimental test of the college English split-class teaching system based on big data has been carried out. The test results show that the system can realize the core of system management, teaching resource release and dynamic configuration.

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