scholarly journals Influencing Factors and Strategies of the Flow of Academic Professionals in Colleges and Universities Based on Convolutional Neural Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
LIli Zhao
Keyword(s):  
Influencing Factors ◽  
Research Universities ◽  
Factor Model ◽  
Influencing Factor ◽  
Colleges And Universities ◽  
Factors Affecting ◽  
Strength Factor ◽  
Mobility Factor ◽  
Questionnaire Surveys ◽  
Academic Professionals

The influencing factors of academic professional mobility in colleges and universities are complex and diverse, and the intensity of each influencing factor has obvious characteristics of differentiation. However, scholars have few relevant studies based on the intensity of factors affecting the flow of academic professionals in colleges and universities. Therefore, this article aims to study and analyze the influence of different factors on the flow of academic professionals in different types of colleges and universities, which is of great significance for promoting the rational and orderly flow of academic professionals. This paper proposes a comprehensive application of multiple methods, such as questionnaire surveys and data statistics, based on ERG theory, based on the four types of universities and colleges: research-oriented, teaching research, teaching, and application. The influence intensity of the flow-influencing factors is comparatively studied. It clarified the differences in the influence of spiritual factors, economic factors, and social factors on the mobility of academic professionals in colleges and universities, established a mobility factor model, and put forward policy recommendations for colleges and universities to promote the rational and orderly mobility of academic professionals. A total of 2042 questionnaires on “Policy Improvement Factors Affecting the Flow of Academic Experts in Universities” were released, four academic experts of different levels were assigned to universities, and 1,561 were effectively searched. Among them, there were 336 research universities, 157 educational research universities, 404 educational universities, and 164 applied universities. The experimental results of this article show that the factors affecting the flow of academic professionals in universities include economic strength factor of 0.4945, social strength factor of 0.5456, and intellectual strength factor of 0.52. Therefore, the factors affecting the mobility of university scholars can be used in strategic research.

scholarly journals Choice Model and Influencing Factor Analysis of Travel Mode for Migrant Workers: Case Study in Xi’an, China

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Hong Chen ◽  
Zuo-xian Gan ◽  
Yu-ting He
Keyword(s):  
Influencing Factors ◽  
Migrant Workers ◽  
Choice Model ◽  
Mode Choice ◽  
Influencing Factor ◽  
Travel Mode ◽  
Factors Affecting ◽  
Travel Choice ◽  
Travel Mode Choice ◽  
Set Up

Based on the basic theory and methods of disaggregate choice model, the influencing factors in travel mode choice for migrant workers are analyzed, according to 1366 data samples of Xi’an migrant workers. Walking, bus, subway, and taxi are taken as the alternative parts of travel modes for migrant workers, and a multinomial logit (MNL) model of travel mode for migrant workers is set up. The validity of the model is verified by the hit rate, and the hit rates of four travel modes are all greater than 80%. Finally, the influence of different factors affecting the choice of travel mode is analyzed in detail, and the inelasticity of each factor is analyzed with the elasticity theory. Influencing factors such as age, education level, and monthly gross income have significant impact on travel choice mode for migrant workers. The elasticity values of education degree are greater than 1, indicating that it on the travel mode choice is of elasticity, while the elasticity values of gender, industry distribution, and travel purpose are less than 1, indicating that these factors on travel mode choice are of inelasticity.

scholarly journals Factors Affecting the Promotion of Conservation Tillage in Black Soil—The Case of Northeast China

2021 ◽  
Vol 13 (17) ◽  
pp. 9563
Author(s):  
Yan Qu ◽  
Chulin Pan ◽  
Hongpeng Guo
Keyword(s):  
Influencing Factors ◽  
Soil Conservation ◽  
Northeast China ◽  
Conservation Tillage ◽  
New Technology ◽  
Influencing Factor ◽  
Economic Factor ◽  
Black Soil ◽  
Agricultural Machinery ◽  
Factors Affecting

Taking the conservation tillage influences of black soil in Northeast China as the research object, the paper is written according to the advice of relevant experts and technicians in Northeast China, the study also calculates the weight of each influencing factor through the Delphi and Analytic Hierarchy Process (AHP) method. Then, the significance of the factors affecting the benefit of conservation tillage is analyzed. The results show that, based on the comprehensive analysis, it is concluded that the economic factor is the primary factor affecting the benefit of black soil conservation tillage in Northeast China. Among the twelve influencing factors, eight of them have a significant impact on the development of conservation tillage benefits on black soil in Northeast China. Such as the degree of government subsidy; the adaptability of agricultural machinery; the input of new technology; relevant policies, laws and regulations; the quality of conservation tillage; the income of agricultural machinery farmers; practical application capacity; government publicity. Therefore, in the process of implementing the black soil conservation tillage, we should focus on these influencing factors, which will effectively promote the sustainable development of agriculture in Northeast China.

scholarly journals Research on Influencing Factor Selection of Pilot’s Intention

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Haibo Wang ◽  
Ting Pan ◽  
Haiqing Si ◽  
Yao Li ◽  
Naiqi Jiang
Keyword(s):  
Influencing Factors ◽  
Flight Control ◽  
Influencing Factor ◽  
Physical Parameters ◽  
Cognitive State ◽  
Factors Affecting ◽  
Active Safety System ◽  
Factor Sequence ◽  
Automatic Pilot ◽  
Selection Of

The physiological, psychological, and physical characteristics of the pilot will have an impact on flight safety, mainly in the pilot’s intention. In another word, this means the pilot’s psychological experience of flight status under the influence of various factors and the preference for decision-making or behavioral value that is displayed. The pilot’s intention is to reflect the cognitive state that the pilot showed during the maneuvering of the aircraft. The exploration of intention is very important for the study of automatic pilot and flight control active safety system. Also, it is an important concept often involved in the study of human factors in flight, especially the microbehavior of pilots. Pilot’s intention is taken as the study object in this paper; physiological-psychological-physical parameters are obtained through analyzing their influencing factors from the simulating flight experiments designed. The random forest analysis method is used to rank the main influencing factors affecting the pilot’s intention, and the factor sequence is formed. The results provide a good foundation for further research on the pilot’s intention identification.

scholarly journals Research on the Influencing Factors of the Construction of Tourism and Leisure Characteristic Towns in Sichuan Province under the Background of New Urbanization

2021 ◽  
Author(s):  
Yi-ping WANG ◽  
Xian-li ZHANG
Keyword(s):  
Influencing Factors ◽  
Field Research ◽  
Economic Transformation ◽  
Sichuan Province ◽  
Tourism Industry ◽  
Scientific Development ◽  
Key Factors ◽  
Factors Affecting ◽  
Questionnaire Surveys ◽  
New Urbanization

Promoting the construction of characteristic towns under the background of new urbanization is an important way for my country to break the bottleneck of economic development and realize economic transformation and upgrading. In recent years, although the construction of characteristic towns in Sichuan Province has achieved remarkable results and a large number, especially tourist and leisure characteristic towns accounted for the largest proportion, they still face urgent problems such as avoiding redundant construction, achieving scientific development, and overall planning. This study takes 20 cultural tourism characteristic towns selected by the first batch of Sichuan Province as the research object, combined with field research and tourist questionnaire surveys, and screened out relevant influencing factors of characteristic towns from different aspects such as transportation, economy, industry, ecology, historical and cultural heritage. Analyze the correlation with the development level of characteristic towns in order to find out the key factors affecting the development of characteristic towns of this type, provide a policy basis for the scientific development and overall planning of reserve characteristic towns in our province, and contribute to the construction of new urbanization And provide advice and suggestions on the development of tourism industry in our province.

scholarly journals Aphid–Plant–Phytovirus Pathosystems: Influencing Factors from Vector Behaviour to Virus Spread

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 502
Author(s):  
Junior Corneille Fingu-Mabola ◽  
Frédéric Francis
Keyword(s):  
Influencing Factors ◽  
Virus Transmission ◽  
Physical Factors ◽  
Factors Affecting ◽  
Vector Borne Diseases ◽  
Vector Behaviour ◽  
Crop Fields ◽  
Host Seeking ◽  
The Impact ◽  
Vector Efficiency

Aphids are responsible for the spread of more than half of the known phytovirus species. Virus transmission within the plant–aphid–phytovirus pathosystem depends on vector mobility which allows the aphid to reach its host plant and on vector efficiency in terms of ability to transmit phytoviruses. However, several other factors can influence the phytoviruses transmission process and have significant epidemiological consequences. In this review, we aimed to analyse the aphid behaviours and influencing factors affecting phytovirus spread. We discussed the impact of vector host-seeking and dispersal behaviours mostly involved in aphid-born phytovirus spread but also the effect of feeding behaviours and life history traits involved in plant–aphid–phytovirus relationships on vector performances. We also noted that these behaviours are influenced by factors inherent to the interactions between pathosystem components (mode of transmission of phytoviruses, vector efficiency, plant resistance, …) and several biological, biochemical, chemical or physical factors related to the environment of these pathosystem components, most of them being manipulated as means to control vector-borne diseases in the crop fields.

scholarly journals The role of serum β-trophin and endostatin in patients with polycystic ovary syndrome: Are they correlated?

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wei Gong ◽  
Aikmu Bilixzi ◽  
Xinmei Wang ◽  
Yanli Lu ◽  
Li Wan ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Influencing Factors ◽  
Polycystic Ovary ◽  
Pearson Correlation ◽  
Healthy Controls ◽  
Newly Diagnosed ◽  
Ovary Syndrome ◽  
Factors Affecting ◽  
Main Factors

Abstract Background It’s necessary to investigate the serum β-trophin and endostatin (ES) level and its influencing factors in patients with newly diagnosed polycystic ovary syndrome (PCOS). Methods Newly diagnosed PCOS patients treated in our hospital were selected, and healthy women who took physical examination during the same period as healthy controls. We detected and compared the related serum indicators between two groups, Pearson correlation were conducted to identify the factors associated with β-trophin and ES, and the influencing factors of β-trophin and ES were analyzed by logistic regression. Results A total of 62 PCOS patients and 65 healthy controls were included. The BMI, WHI, LH, FSH, TT, FAI, FBG, FINS, HOMA-IR, TC, TG, LDL, ES in PCOS patients were significantly higher than that of healthy controls, while the SHBG and HDL in PCOS patients were significantly lower than that of healthy controls (all p < 0.05). β-trophin was closely associated with BMI (r = 0.427), WHR (r = 0.504), FBG (r = 0.385), TG (r = 0.405) and LDL (r = 0.302, all p < 0.05), and ES was closely associated with BMI (r = 0.358), WHR (r = 0.421), FBG (r = 0.343), TC (r = 0.319), TG (r = 0.404, all p < 0.05). TG, BMI, WHR and FBG were the main factors affecting the serum β-trophin levels (all p < 0.05). FBG, TC and BMI were the main factors affecting the serum ES levels (all p < 0.05). The TG, β-trophin, ES level in PCOS patients with insulin resistance (IR) were significantly higher than that of those without IR (all p < 0.05). Conclusion Increased β-trophin is closely associated with increased ES in patients with PCOS, which may be the useful indicators for the management of PCOS.

scholarly journals Grey Relational Grade Based Quantitative Analysis of the Factors Influencing the Load Characteristics of A Power Grid

2018 ◽  
Vol 53 ◽  
pp. 01012 ◽  
Author(s):  
Wei Pan ◽  
Caijia Lei ◽  
Wei Jia ◽  
Hui Gao ◽  
Binghua Fang
Keyword(s):  
Quantitative Analysis ◽  
Influencing Factors ◽  
Power Grid ◽  
Grey System Theory ◽  
Grey System ◽  
Factors Affecting ◽  
Grey Relational Grade ◽  
Load Characteristics ◽  
Grey Relational ◽  
Main Factor

Regarding analysis of load characteristics of a power grid, there are multiple factors that influence the variation of load characteristics. Among these factors, the influence of different ones on the change of load characteristic is somewhat different, thus the degree of influence of various factors needs to be quantified to distinguish the main and minor factors of load characteristics. Based on this, the grey relational analysis in the grey system theory is employed as the basis of mathematical model in this paper. Firstly, the main factors affecting the load characteristics of a power grid are analysed. Then, the principle of quantitative analysis of the influencing factors by using grey relational grade is introduced. Lastly, the load of Guangzhou power grid is selected as the research object, thereby the main factor of temperature affecting the load characteristics is quantitatively analysed, such that the correlation between temperature and load is established. In this paper, by investigating the influencing factors and the degree of influence of load characteristics, the law of load characteristics changes can be effectively revealed, which is of great significance for power system planning and dispatching operation.

Investigation on Polymer Adsorption and Retention in a Polymer Flooded Reservoir

2013 ◽  
Vol 734-737 ◽  
pp. 1200-1203
Author(s):  
Shu Qiang Liu ◽  
Ji Cheng Zhang ◽  
Jin Cheng Xu
Keyword(s):  
Polymer Solution ◽  
Influencing Factors ◽  
Polymer Adsorption ◽  
Solution Concentration ◽  
Injection Rate ◽  
The Other ◽  
Injection Time ◽  
Factors Affecting ◽  
Dynamic Factors ◽  
Polymer Retention

During polymer flooding, certain amount of polymer would be lost. Polymer retention causes sweep volume expanding on one side, it also causes polymer loss on the other. Therefore, it is a very important topic to study the influencing factors of polymer retention. There are many factors affecting polymer retention process. This paper mainly studied the influence from dynamic factors such as polymer solution concentration, injection rate, injection time, injected pv number. This paper investigated the influence of these factors on polymer retention process, and optimized these factors to minimize polymer loss in reservoir.

What is access to radiation therapy? A conceptual framework and review of influencing factors

2016 ◽  
Vol 40 (1) ◽  
pp. 11 ◽  
Author(s):  
Puma Sundaresan ◽  
Martin R. Stockler ◽  
Christopher G. Milross
Keyword(s):  
Radiation Therapy ◽  
Health Services ◽  
Conceptual Framework ◽  
Influencing Factors ◽  
International Literature ◽  
Access To Treatment ◽  
Access Methods ◽  
Factors Affecting ◽  
Detailed Review ◽  
Factors Influencing

Objectives Optimal radiation therapy (RT) utilisation rates (RURs) have been defined for various cancer indications through extensive work in Australia and overseas. These benchmarks remain unrealised. The gap between optimal RUR and actual RUR has been attributed to inadequacies in ‘RT access’. We aimed to develop a conceptual framework for the consideration of ‘RT access’ by examining the literature for existing constructs and translating it to the context of RT services. We further aimed to use this framework to identify and examine factors influencing ‘RT access’. Methods Existing models of health care access were reviewed and used to develop a multi-dimensional conceptual framework for ‘RT access’. A review of the literature was then conducted to identify factors reported to affect RT access and utilisation. The electronic databases searched, the host platform and date range of the databases searched were Ovid MEDLINE, 1946 to October 2014 and PsycINFOvia OvidSP,1806 to October 2014. Results The framework developed demonstrates that ‘RT access’ encompasses opportunity for RT as well as the translation of this opportunity to RT utilisation. Opportunity for RT includes availability, affordability, adequacy (quality) and acceptability of RT services. Several factors at the consumer, referrer and RT service levels affect the translation of this opportunity for RT to actual RT utilisation. Conclusion ‘Access’ is a term that is widely used in the context of health service related research, planning and political discussions. It is a multi-faceted concept with many descriptions. We propose a conceptual framework for the consideration of ‘RT access’ so that factors affecting RT access and utilisation may be identified and examined. Understanding these factors, and quantifying them where possible, will allow objective evaluation of their impact on RT utilisation and guide implementation of strategies to modify their effects. What is known about the topic? It is well documented that the use of RT in Australia is well below evidence-based benchmarks. The shortfall in the use of RT has been attributed to problems with access to treatment services. Although considerable attention has been directed (rightly) towards addressing infrastructure needs, access to RT is more than just supply of services. There is currently no specific framework for RT access to comprehensively consider and examine other factors influencing the use of RT. The existing international literature addresses some of the influencing factors. However, there is a need for a detailed review of all actual and potential influencers of RT utilisation. What does this paper add? This paper presents a conceptual framework for the specific consideration of access to RT. A detailed review of various factors affecting access and utilisation of RT has been performed using the aforementioned conceptual framework. To our knowledge this is the first such review and hence we are confident that it adds to the existing international literature on this subject. What are the implications for practitioners? The topic of improving consumers’ access to RT is of relevance locally, in Australia, as well as internationally. We feel that the RT access framework proposed herein will be of interest and use to those involved in health services research, delivery and policy, especially those involved with the planning and delivering of cancer services. In addition to compiling evidence on the subject, the review of factors influencing RT utilisation highlights and proposes areas for future translational and implementation research in the areas of health services and treatment-related decision making.

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