scholarly journals Quantitative analysis of influencing factors of single vessel maintenance standard cost

2021 ◽  
Vol 251 ◽  
pp. 03080
Author(s):  
Tang Haoning ◽  
Liang Xin
Keyword(s):  
Quantitative Analysis ◽  
Influencing Factors ◽  
Price Level ◽  
Mutual Influence ◽  
Fixed Number ◽  
Factors Affecting ◽  
Service Environment ◽  
Standard Cost ◽  
Ship Maintenance ◽  
Single Standard

Ship equipment maintenance fee of the single standard funds under the influence of many factors, in order to analyse the ship maintenance fee standard for each single loading factors influence the size of paper from two aspects: the ship itself and using the environment of ship cost, displacement, use fixed number of year, the price level, service environment, the use frequency of six index quantification, the factors which influence on factors affecting the characteristics of the mutual influence and mutual restriction between the measures, using the index of conflict and contrast between the strength of give attention to two or more things CRITIC method for quantitative analysis. The results show that the six influencing factors are in order from large to small: price level, service life, service frequency, service environment, ship cost, displacement.

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.

Factors Affecting the Organizational Justice in Ho Chi Minh City, Vietnam

2018 ◽  
Vol 9 (6) ◽  
pp. 523-528
Author(s):  
Vu Ba Thanh ◽  
◽  
Ngo Van Toan ◽  
Keyword(s):  
Organizational Culture ◽  
Quantitative Analysis ◽  
Organizational Justice ◽  
Survey Data ◽  
Internal Communication ◽  
Ho Chi Minh City ◽  
Research Model ◽  
Factors Affecting ◽  
Feedback Training ◽  
Model Research

The study was conducted to examine the factors affecting organizational justice in Ho Chi Minh City. Through quantitative analysis from the survey data for 242 civil servants working in Ho Chi Minh city to evaluate the scale and research model. Research results show that four factors: feedback, training, organizational culture and internal communication affect organizational justice in Ho Chi Minh city.

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.

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.

scholarly journals FACTORS AFFECTING DISPOSITION EFFECT IN EQUITY INVESTMENT: A SOCIAL NETWORK ANALYSIS APPROACH

2020 ◽  
Vol 5 (3) ◽  
pp. 64-86
Author(s):  
K. Kajol ◽  
Prasita Biswas ◽  
Ranjit Singh ◽  
Sana Moid ◽  
Amit Kumar Das
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Stock Market ◽  
Influencing Factors ◽  
Social Trust ◽  
Complete Analysis ◽  
Disposition Effect ◽  
Factors Affecting ◽  
The Relationship

The study aims at identifying the factors influencing the disposition effect acting on equity investors and further identifying the relationship between the influencing factors. The study aims at conducting a complete analysis of the influencing factors along with measuring their impact on disposition effect using Social Network Analysis (SNA).The factors affecting disposition effect on investors were identified through the literature review. Experts’ opinions were sought for determining the relationship among the factors and finally, the importance of those factors was analyzed using Social Network Analysis (SNA). It was found that social trust, investor emotion are the two most important factors affecting the other factors of disposition effect and consequently disposition effect finally. Besides, mental accounting; regret aversion, trading intensity, trading volume, and portfolio performance strongly influence the effect of disposition on investors because of their higher in-degree and out-degree. Therefore, the policymakers need to impart training to the investors to understand the mechanism of the stock market so that they can evaluate their standing in the stock market which, in the long run, will be reflected in their investment behavior. 

scholarly journals Spatial Modeling of Voter Choice: The Survey of Theoretical and Empirical Approach

2021 ◽  
Vol 17 (2) ◽  
pp. 127-164
Author(s):  
Lada Kuletskaya ◽  
Keyword(s):  
Research Methodology ◽  
Spatial Modeling ◽  
Mutual Influence ◽  
Empirical Work ◽  
Spatial Models ◽  
Point Of View ◽  
Factors Affecting ◽  
Directional Model ◽  
Electoral Choice ◽  
Voter Choice

As for today, political elections are the key form of people’s participation in the formation of the state in all democratic countries, which is why theoretical works in the field of spatial modeling of voter choice appeared relatively long ago and played a major role in the development of both further theoretical and empirical research in this area. In this survey we firstly give a brief overview of the history of the formation of spatial modeling in relation to election results and political preferences of individuals from the point of view of research methodology, based on the classical theoretical ‘proximity model’ and ‘directional model’, where rational individuals determine their political positions and compare them with the positions of candidates. Secondly, we explain the appearance of the studies of the mutual influence of voters living in neighboring territories on each other as one of the factors that determine the voters’ political positions and, accordingly, the final choice of a candidate. We also point out the authors’ different explanations of the reasons for the appearance of such mutual influence of voters and other factors affecting voters living in neighboring territories (also called as ‘contextual effects’) and emphasize the importance of taking them into account in the studies of electoral preferences. A separate chapter in this paper presents the systematization and description of the main empirical approaches to spatial modeling of electoral choice: at the beginning, we present the basic econometric spatial models (used by the authors regardless of the subject of the study), and then we describe the empirical work in the field of voter choice, depending on the hypotheses, focusing on the research methodology and the data used. In conclusion, we define the main directions for the research development and the vector of further practical work in this area. This paper will help researchers understand existing fundamental works, evaluate current approaches to the modeling of electoral choice, and improve theoretical or empirical spatial analysis

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