scholarly journals Research on the Optimization of Talent Recruitment Process in Higher Vocational Colleges under the Background of Double High Plan

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Litao Cui
Keyword(s):  
Resource Allocation ◽  
Current Status ◽  
Recruitment Process ◽  
Vocational Colleges ◽  
The Relationship

In order to elucidate the relationship between talent recruitment and teacher allocation management in higher vocational colleges under the background of the "Double High Plan", this paper studies and analyzes the current status of talent recruitment in Chinese higher vocational colleges in conjunction with the characteristics of talent resource allocation in higher vocational colleges and proposes to elucidate the priorities and improve supporting policies with reasonable planning to improve the optimization guideline of talent recruitment efficiency, so as to better accomplish the building of the national "double high plan" and improve the ability of higher vocational colleges to nurture more outstanding talents for the society.

COVID-19 in children: Pathogenesis and current status

2020 ◽  
Author(s):  
Lawrence Frenkel ◽  
Fernando Gomez ◽  
Joseph A Bellanti
Keyword(s):  
Respiratory Disease ◽  
Respiratory Symptoms ◽  
Distress Syndrome ◽  
Clinical Course ◽  
Current Status ◽  
Current Evidence ◽  
Initial Description ◽  
Relationship Of ◽  
Inflammatory Syndrome ◽  
The Relationship

Background: Since its initial description in December 2019 in Wuhan, China, coronavirus disease 2019 (COVID-19) has rapidly progressed into a worldwide pandemic, which has affected millions of lives. Unlike the disease in adults, the vast majority of children with COVID-19 have mild symptoms and are largely spared from severe respiratory disease. However, thereare children who have significant respiratory disease, and some may develop a hyperinflammatory response similar to thatseen in adults with COVID-19 and in children with Kawasaki disease (KD), which has been termed multisystem inflammatory syndrome in children (MIS-C).Objective: The purpose of this report was to examine the current evidence that supports the etiopathogenesis of COVID-19 in children and the relationship of COVID-19 with KD and MIS-C as a basis for a better understanding of the clinical course, diagnosis, and management of these clinically perplexing conditions.Results: The pathogenesis of COVID-19 is carried out in two distinct but overlapping phases of COVID-19: the first triggered by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) itself and the second by the host immune response. Children with KD have fewer of the previously described COVID-19–associated KD features with less prominent acute respiratory distress syndrome and shock than children with MIS-C.Conclusion: COVID-19 in adults usually includes severe respiratory symptoms and pathology, with a high mortality. Ithas become apparent that children are infected as easily as adults but are more often asymptomatic and have milder diseasebecause of their immature immune systems. Although children are largely spared from severe respiratory disease, they canpresent with a SARS-CoV-2–associated MIS-C similar to KD.

Family Firms, Social Responsibility, and Non-Family Member Employees Identification

Think India ◽  
2013 ◽  
Vol 16 (3) ◽  
pp. 10-19
Author(s):  
Ang Bao
Keyword(s):  
Resource Allocation ◽  
Social Responsibility ◽  
Family Member ◽  
Program Implementation ◽  
Social Identity Theory ◽  
Family Firms ◽  
The Family ◽  
Corporate Social ◽  
The Relationship ◽  
Csr Engagement

The objective of this paper is to find the relationship between family firms’ CSR engagement and their non-family member employees’ organisational identification. Drawing upon the existing literature on social identity theory, corporate social responsibility and family firms, the author proposes that family firms engage actively in CSR programs in a balanced manner to increase non-family member employees’ organisational identification. The findings of the research suggest that by developing and implementing balanced CSR programs, and actively getting engaged in CSR activities, family firms may help their non-family member employees better identify themselves with the firms. The article points out that due to unbalanced CSR resource allocation, family firms face the problem of inefficient CSR program implementation, and are suggested to switch alternatively to an improved scheme. Family firms may be advised to take corresponding steps to select right employees, communicate better with non-family member employees, use resources better and handle firms’ succession problems efficiently. The paper extends employees’ identification and CSR research into the family firm research domain and points out some drawbacks in family firms’ CSR resource allocation while formerly were seldom noticed.

scholarly journals The Integrated Networks Model: Explaining Resource Allocations in Network Markets

2003 ◽  
Vol 67 (1) ◽  
pp. 29-45 ◽  
Author(s):  
Judy K. Frels ◽  
Tasadduq Shervani ◽  
Rajendra K. Srivastava
Keyword(s):  
Resource Allocation ◽  
Value Added ◽  
Information Technology Professionals ◽  
Integrated Networks ◽  
Windows Nt ◽  
Proposed Model ◽  
Network Markets ◽  
Business Customers ◽  
The Relationship ◽  
Allocation Decisions

The last decade has witnessed a shift from a focus on the value created by a single firm and product to an examination of the value created by networks of firms (or product ecosystems) in which assets are comingled with external entities. The authors examine these market-based assets in the context of network markets and propose an Integrated Networks model in which three types of networks—user, complements, and producer—add value or enhance the attractiveness of the associated focal product. The authors empirically test the proposed model by surveying information technology professionals on their resource allocation decisions regarding the Unix and Windows NT operating systems. The findings suggest that the value added by these three networks is significantly and positively associated with resources allocated by business customers to competing products. The results also show that the three networks mediate the relationship between stand-alone product performance and resource allocation.

An Empirical Study on the Relationship between Innovation and Entrepreneurship Education and Employ-ability in Higher Vocational Colleges

2021 ◽  
Vol 7 (5) ◽  
pp. 1067-1074
Author(s):  
Zhiqin Li
Keyword(s):  
Data Analysis ◽  
Empirical Study ◽  
Positive Impact ◽  
Entrepreneurship Education ◽  
Questionnaire Data ◽  
Vocational Colleges ◽  
The Relationship ◽  
Innovation And Entrepreneurship

Through the modeling and data analysis of the questionnaire data on the relationship between innovation and entrepreneurship education and employ-ability in higher vocational colleges, this paper concludes that all innovation and entrepreneurship education will have a significant positive impact on employ-ability, and it has a significant impact on higher vocational colleges. The promotion of innovation and entrepreneurship education in the school puts forward corresponding strategies.

scholarly journals Connectivism in the Network Society. The Coming of Social Capital Knowledge

2018 ◽  
pp. 21 ◽  
Author(s):  
José Antonio Díaz Martínez ◽  
Teodoro Hernández de Frutos
Keyword(s):  
Work Experience ◽  
Cultural Context ◽  
Virtual Communities ◽  
Online Social Network ◽  
Cognitive Capacity ◽  
Collaborative Group ◽  
Current Status ◽  
Network Approaches ◽  
The Relationship

Connectivism is a hypothesis of learning which emphasizes the role of the social and cultural context. The relationship among work experience, learning and knowledge, as expressed in the concept of connectivity, is central to connectivism, motivating the name of the theory. According to the current status of online social network approaches, the interconnected computers increase the human intellect, because the network increases the cognitive capacity of individuals. The change in the role of knowledge that is taking place in society has to do with the relationship between technology and society. A collaborative group of knowledge building in the network is emerging as a result of the technological trends and culture. This article discusses the arrival of Virtual Communities of Building Knowledge (VCBK) as a phenomenon that appears spontaneously online. Traditional theories of learning and construction of knowledge have not taken into account the revolution that has occurred in recent decades due to the emergence of ICT. The connectivism refers to the knowledge in the network that arises from the interaction within a group of knowledge construction. In this paper, we consider some cases of VCBK: GNU/Linux, Wikipedia and MOOC. In VCBK, knowledge is created by the group. The sense or meaning created is the result of the group’s dialogue.

scholarly journals Beyond History: The List of The Most Well Studied Human Protein Structures

2020 ◽  
Author(s):  
Zhenlu Li ◽  
Matthias Buck
Keyword(s):  
Protein Structures ◽  
Protein Sequences ◽  
Human Protein ◽  
Current Status ◽  
Protein Database ◽  
X Ray ◽  
X Ray Crystallography ◽  
Protein Biophysics ◽  
The Relationship ◽  
Past Trend

Of 20,000 or so canonical human protein sequences, as of July 2020, 6,747 proteins have had their full or partial medium to high-resolution structures determined by x-ray crystallography or other methods. Which of these proteins dominate the protein database (the PDB) and why? In this paper, we list the 272 top protein structures based on the number of their PDB depositions. This set of proteins accounts for more than 40% of all available human PDB entries and represent past trend and current status for protein science. We briefly discuss the relationship which some of the prominent protein structures have with protein biophysics research and mention their relevance to human diseases. The information may inspire researchers who are new to protein science, but it also provides a year 2020 snap-shot for the state of protein science.

Employees Working Behavior under Different Shades of Destructive Leadership

2021 ◽  
Vol 39 (10) ◽  
Author(s):  
Muhammad Kayani ◽  
Imran Ibrahim Alasan ◽  
Waqas Ali ◽  
Shoib Hassan
Keyword(s):  
Counterproductive Work Behavior ◽  
Work Behavior ◽  
Dark Side ◽  
Destructive Leadership ◽  
Recruitment Process ◽  
Corporate Leaders ◽  
Counterproductive Behavior ◽  
Confirmatory Factor ◽  
Nursing Professionals ◽  
The Relationship

Still, there is a lack of research on the dark side or destructive leadership. The purpose of this research is to add the literature on the two shades of destructive leadership, that are aversive and exploitative leadership, and their shadow in the form of counterproductive work behavior on the nursing professionals. Using 485 samples collected from the nurses of different hospitals of Pakistan, the model is tested through multiple linear hierarchical regressions, correlation analysis, and confirmatory factor analysis in Smart PLS software. The results reveal that people working under aversive and exploitative leaders are more likely to indulge in counterproductive work behavior. Still, proactive personalities have an essential impact which weakens the relationship between destructive leadership and counterproductive work behavior. Results of this study describe a vital requirement for corporate leaders to strengthen their recruitment process in such a way that people with aversive and exploitative attitudes ought to understand how to treat their subordinates before they enter top roles to discourage their workers from indulging in counterproductive behavior.

The Status of Research into Intention Recognition

2016 ◽  
pp. 201-221 ◽  
Author(s):  
Luyao Wang ◽  
Chunlin Li ◽  
Jinglong Wu
Keyword(s):  
Intelligence Quotient ◽  
The Elderly ◽  
Service Robots ◽  
Current Status ◽  
Human Computer Interactions ◽  
Intention Recognition ◽  
The Status ◽  
Service Object ◽  
The Relationship ◽  
Computer Interactions

In recent years, service robots have been widely used in many fields, especially for assisting the elderly and disabled. For example, the medical care of patients with Alzheimer's disease has become a worldwide problem. Existing service robots with some intelligence quotient can perform actions that are programmed by a human. However, the robot cannot understand human intentions or communicate with people naturally. Understanding the intent of the service object could allow the robot to provide better service. Therefore, the most critical component of human-computer interactions is intention recognition. There are currently many methods by which intention recognition can be achieved, such as EMG, EOG and EEG. In addition, emotion is one of the important factors during intention recognition, and this has been a breakthrough notion. This chapter summarizes the current status of research into intention recognition and gives a brief description of the relationship between emotion and intention. We hope to provide more ideas for optimizing human-computer interactions.

scholarly journals Trends of the incidence of drug use disorders from 1990 to 2017: an analysis based on the Global Burden of Disease 2017 data

2020 ◽  
Vol 29 ◽  
Author(s):  
Zhenyu Pan ◽  
Jun Zhang ◽  
Hua Cheng ◽  
Qingting Bu ◽  
Na Li ◽  
...  
Keyword(s):  
Drug Use ◽  
Incidence Rate ◽  
Data Exchange ◽  
Gaussian Process Regression ◽  
Positive Association ◽  
Current Status ◽  
Drug Use Disorders ◽  
Query Tool ◽  
Incident Cases ◽  
The Relationship

Abstract Aim Drug use disorders are an important issue worldwide. Systematic attempts to estimate the global incidence of drug use disorders are rare. We aimed to determine the incidence of drug use disorders and their trends. Methods We obtained the annual incident cases and age-standardised incidence rate (ASR) of drug use disorders from 1990 to 2017 using the Global Health Data Exchange query tool. The estimated annual percentage changes of the ASR were used to quantify and evaluate the trends in the incidence rate. Gaussian process regression and the Pearson's correlation coefficient were used to assess the relationship between the ASR and socio-demographic index (SDI). Results The number of drug use disorders’ cases increased by 33.5% from 1990 to 2017 globally, whereas the ASR exhibited a stable trend. The ASR was higher in men than in women. Most cases (53.1%) of drug use disorders involved opioid. A positive association (ρ=0.35, p < 0.001) was found between ASR and SDI. Teenagers aged 15–19 years had the highest incidence rate. Conclusions The incident cases of drug use disorders were increasing, but the incidence rate did not change significantly from 1990 to 2017. Current preventive measures and policies for drug use disorders might have little effect. The present results suggest that future strategies should focus on men, teenagers and high-risk regions in order to improve the current status of drug use disorders.

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