scholarly journals Identifying Influencing Factors of Regional Agricultural Drought Vulnerability Based on PSR-TGRC Method

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Dongxing Zhang ◽  
Wenkai Cao ◽  
Bing Qi
Keyword(s):  
Influencing Factors ◽  
Agricultural Drought ◽  
Analysis Method ◽  
Drought Vulnerability ◽  
Relative Variation ◽  
Factors Affecting ◽  
Relational Analysis ◽  
Theoretical Support ◽  
Number Of Factors ◽  
Evaluation Problem

Regional agricultural drought vulnerability (RADV) is a complex nonlinear problem caused by the interaction of multiple factors, and an objective and systematic method is proposed by this paper to identify its influencing factors, which plays an important role in preventing and regulating the risks of regional agricultural drought. Firstly, to provide a reference for the evaluation problem in selecting the number of factors, the influencing factors affecting RADV are revealed by using the method of phase space reconstruction (PSR). Secondly, to rank the importance of influencing factors, a grey trend relational analysis (TGRA) method is proposed, considering the dynamic development relationship between the RADV index and the influencing factors and integrating the absolute and relative variation of sequences in each corresponding period. Finally, to reduce the collinearity between the influencing factors, a grey trend relational clustering (TGRC) analysis method is proposed. According to the above steps, the process of identifying factors based on PSR-TGRC method is formed. Taking Henan Province as an example, 14 main influencing factors and their effects on RADV are identified from all 42 factors, and the identification results which are consistent with the actual drought relief work show the rationality and practicality of PSR-TGRC method and provide theoretical support for formulating strategies of regional agricultural disaster prevention and mitigation.

ANALYSIS OF THE FEATURES OF MANAGING AN AMBULATORY-POLYCLINIC INSTITUTION USING THE METHOD OF ANALYSIS OF HIERARCHIES AND THE FUNDING MODEL

2021 ◽  
pp. 121-129
Author(s):  
Анастасия Дмитриевна Акулова ◽  
Евгений Николаевич Коровин ◽  
Евгений Андреевич Назаренко
Keyword(s):  
Health Care ◽  
Outpatient Clinic ◽  
Management System ◽  
Economic Factor ◽  
Optimal Operation ◽  
Analysis Method ◽  
Factors Affecting ◽  
Number Of Factors ◽  
Hierarchy Analysis

В статье проведено изучение основных факторов и акторов, характеризующих систему управления, применяемой в амбулаторно-поликлиническом учреждении с помощью метода анализа иерархий и построенной схемы системной динамики с помощью программы Ithink. Для понимания основных действующих механизмов управления был выявлена основная цель деятельности поликлинического учреждения и ряд факторов, влияющих на ее достижение. Этот тип изучения процессов основан на методе анализа иерархий. Основной целью применения данного метода является выявление ряда факторов и акторов, оказывающих на механизм управления наибольшее влияние, а также помогает выявить основные проблемы функционирования, устранение которых позволит обеспечить такое качество оказываемых медицинских услуг, которое бы соответствовало установленным нормам и стандартов оказания первичной медико-санитарной, скорой, специализированной и паллиативной помощи. Выявление существующих проблем управления позволит определить основные направления улучшения работы амбулаторно-поликлинического учреждения. Для оптимальной работы системы управления и обеспечения высокого качества оказываемых услуг важной составляющей является экономический фактор. В условиях дефицита финансовых средств он становится все более значимым для сферы медицинского обслуживания The article deals with the study of the main factors and actors characterizing the management system used in an outpatient clinic using the hierarchy analysis method and the constructed system dynamics scheme using the Ithink program. To understand the main operating mechanisms of management, the main goal of the activity of the polyclinic institution and a number of factors affecting its achievement were identified. This type of process learning is based on the hierarchy analysis method. The main purpose of using this method is to identify a number of factors and actors that have the greatest impact on the management mechanism, and also helps to identify the main problems of functioning, the elimination of which will ensure such quality of medical services that would meet the established norms and standards for the provision of primary health care. emergency, specialized and palliative care. Revealing the existing management problems will determine the main directions for improving the work of an outpatient clinic. For the optimal operation of the management system and ensuring the high quality of the services provided, an important component is the economic factor. In the context of a shortage of financial resources, it is becoming more and more important for the health care sector

Identifying influence patterns of regional agricultural drought vulnerability using a two-phased grey rough combined model

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Huifang Sun ◽  
Liping Fang ◽  
Yaoguo Dang ◽  
Wenxin Mao
Keyword(s):  
Influencing Factors ◽  
Temporal Dynamics ◽  
Decision Rules ◽  
Agricultural Drought ◽  
Drought Vulnerability ◽  
Entropy Weight ◽  
Combined Model ◽  
Content Type ◽  
Base Points ◽  
Double Base

PurposeA core challenge of assessing regional agricultural drought vulnerability (RADV) is to reveal what vulnerability factors, under which kinds of synergistic combinations and at what strengths, will lead to higher vulnerability: namely, the influence patterns of RADV.Design/methodology/approachA two-phased grey rough combined model is proposed to identify influence patterns of RADV from a new perspective of learning and mining historical cases. The grey entropy weight clustering with double base points is proposed to assess degrees of RADV. The simplest decision rules that reflect the complex synergistic relationships between RADV and its influencing factors are extracted using the rough set approach.FindingsThe results exemplified by China's Henan Province in the years 2008–2016 show higher degrees of RADV in the north and west regions of the province, in comparison with the south and east. In the patterns with higher RADV, the higher proportion of agricultural population appears in all decision rules as a core feature. A smaller quantity of water resources per unit of cultivated land area and a lower adaptive capacity, involving levels of irrigation technology and economic development, present a significant synergistic influence relationship that distinguishes the features of higher vulnerability from those of the lower.Originality/valueThe proposed grey rough combined model not only evaluates temporal dynamics and spatial differences of RADV but also extracts the decision rules between RADV and its influencing factors. The identified influence patterns inspire managerial implications for preventing and reducing agricultural drought through its historical evolution and formation mechanism.

Evaluating the Influence of Mix Proportion Parameters on Anti-Permeability of Green High Performance Concrete with Grey Relational Analysis

2011 ◽  
Vol 250-253 ◽  
pp. 857-860
Author(s):  
Qiao Yan Guan ◽  
Peng Zhang
Keyword(s):  
Influencing Factors ◽  
Grey Relational Analysis ◽  
High Performance ◽  
High Performance Concrete ◽  
Factors Affecting ◽  
Relational Analysis ◽  
Mix Proportion ◽  
Binder Ratio ◽  
Grey Relational ◽  
Water Binder Ratio

The aim of this study was to evaluate the influence of mix proportion parameters on anti-permeability of green high performance concrete (GHPC) and find out the main influencing factors. Applying grey relational analysis method, the relational grades between the influencing factors and diffusion coefficient of Cl- of GHPC were calculated. Besides, the sequence result of influencing degree of the factors to affect the anti-permeability was obtained. The result shows that the importance of the factors affecting anti-permeability of GHPC has following sequence: water-binder ratio> sand ratio > dosage of cement> dosage of water reducing admixture > dosage of mineral fillers > dosage of fly ash. In order to improve anti-permeability of GHPC, water-binder ratio and sand ratio must be controlled strictly.

scholarly journals Assessment on Agricultural Drought Vulnerability and Spatial Heterogeneity Study in China

2021 ◽  
Vol 18 (9) ◽  
pp. 4449
Author(s):  
Hongpeng Guo ◽  
Jia Chen ◽  
Chulin Pan
Keyword(s):  
Influencing Factors ◽  
Agricultural Drought ◽  
Contribution Rate ◽  
Drought Vulnerability ◽  
Entropy Weight ◽  
Scoring Method ◽  
Resilience Index ◽  
Entropy Weight Method ◽  
Forest Coverage ◽  
Northwest Region

Reducing drought vulnerability is a basis to achieve sustainable development in agriculture. The study focuses on agricultural drought vulnerability in China by selecting 12 indicators from two aspects: drought sensitivity and resilience to drought. In this study, the degree of agricultural drought vulnerability in China has been evaluated by entropy weight method and weighted comprehensive scoring method. The influencing factors have also been analyzed by a contribution model. The results show that: (1) From 1978 to 2018, agricultural drought vulnerability showed a decreasing trend in China with more less vulnerable to mildly vulnerable cities, and less highly vulnerable cities. At the same time, there is a trend where highly vulnerable cities have been converted to mildly vulnerable cities, whereas mildly vulnerable cities have been converted to less vulnerable cities. (2) This paper analyzes the influencing factors of agricultural drought vulnerability by dividing China into six geographic regions. It reveals that the contribution rate of resilience index is over 50% in the central, southern, and eastern parts of China, where agricultural drought vulnerability is relatively low. However, the contribution rate of sensitivity is 75% in the Southwest and Northwest region, where the agricultural drought vulnerability is relatively high. Among influencing factors, the multiple-crop index, the proportion of the rural population and the forest coverage rate have higher contribution rate. This study carries reference significance for understanding the vulnerability of agricultural drought in China and it provides measures for drought prevention and mitigation.

Research on financing efficiency of China's strategic emerging industries based on super efficiency DEA and tobit model

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiangyuan Chen ◽  
Ying Wang
Keyword(s):  
Manufacturing Industry ◽  
Economic Science ◽  
Analysis Method ◽  
Content Type ◽  
Factors Affecting ◽  
Emerging Industries ◽  
Theoretical Support ◽  
Tobit Analysis ◽  
New Energy ◽  
Comprehensive Level

PurposeThe purpose of this research is to explain the financing dilemma of China's strategic emerging industries and improve their financing efficiency, seize the commanding heights of economic science and technology to provide theoretical support.Design/methodology/approachThis paper selects the companies listed under strategic emerging industry during the period of 2010–2017 as the research object and used the data envelopment analysis method (DEA) to evaluate the financing efficiency of China's strategic emerging industries and selects the tobit analysis method to find out the factors affecting its financing efficiency.FindingsThe results show that the average financing efficiency of listed companies in strategic emerging industries between 2010 and 2017 is 0.7792, and the level of financing efficiency of strategic emerging industries is still at a low level. Among them, the bio-pharmaceutical industry and the energy-saving and environmental protection industry have the highest comprehensive level, and the high-end equipment manufacturing industry and the new energy industry have the lowest level of financing efficiency. Among the factors affecting the financing efficiency of strategic emerging industries, the asset-liability ratio, financial expenses and cash ratio and financing efficiency are negatively correlated, and the net asset income is positively correlated with the growth rate of the main business income.Originality/valueThis paper measures the financing efficiency of China's strategic emerging industries, then explores the influencing factors of the financing efficiency of strategic emerging industries and tries to provide important reference values for the improvement of the financing efficiency of China's strategic emerging industries at a practical level.

scholarly journals Research on the Spatial Distribution Pattern and Influencing Factors of China’s Antipoverty (Pro-Poor Tourism) on GIS

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Qing Yang ◽  
Fengtai Zhang ◽  
Youzhi An ◽  
Changcheng Sun ◽  
Jianfeng Wu ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Influencing Factors ◽  
Poverty Alleviation ◽  
Scientific Basis ◽  
Policy Formulation ◽  
Annual Rainfall ◽  
Factors Affecting ◽  
Theoretical Support ◽  
Spatial Distribution Characteristics ◽  
Tourism Resources

Eliminating poverty is the common mission of all mankind, and it is also an important task faced by many countries. Pro-poor tourism villages are an active attempt by China to use rural tourism to escape poverty. This paper aims to provide theoretical support for consolidating the results of poverty alleviation and achieving comprehensive poverty alleviation and to provide a scientific basis for policy formulation by using GIS spatial analysis to study the spatial distribution characteristics and influencing factors of 22,651 pro-poor tourism villages in China. The findings revealed that the spatial distribution of pro-poor tourism villages is roughly divided by the Hu line. Pro-poor tourism villages show an uneven agglomeration pattern and present a spatial pattern of dense southeast and sparse northwest with six high-density core areas, among which some cities in the southwest are H-H agglomeration areas. Specifically, topography, annual rainfall, endowment of tourism resources, location transportation, and policy orientation are important factors affecting the spatial distribution of pro-poor tourism villages.

Moving on the Chain: Push-Pull Factors Affecting the Migration of Laotian Workers to Udon Thani, Thailand

2018 ◽  
Vol 5 (2) ◽  
pp. 99-105
Author(s):  
Thanapauge Chamaratana ◽  
Thawatchai Sangseema
Keyword(s):  
Social Network ◽  
Additional Data ◽  
Analysis Method ◽  
Pull Factors ◽  
Factors Affecting ◽  
Content Analysis Method ◽  
Depth Interview ◽  
Additional Data Collection ◽  
Study Unit ◽  
Participatory Observation

Abstract The tendency of migration of Lao workers to Thailand is likely to increase especially migration pattern is social network. The objective of this research was to study factors effecting the migration through social network of Lao workers in Udon Thani. Qualitative research method was applied in the study. Unit of analysis was group level. In-depth interview guideline was applied to collect data from 15 Laotian workers. The research site was Udon Thani, Thailand. Participatory observation and non-participatory observation were use for additional data collection. The ATLAS.ti programme was applied to categorize data, and data analysis was based on the content analysis method. The research results showed that the crucial push factors which contributed migration among Laotian workers included Udon Thani Unemployment in residency, and low revenue in residency and important pull factors include higher compensation, worker demand of establishments in Udon Thani province, Laotian employers' values in Udon Thani, and social network of Laotian workers in destination.

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.

Impact of climatic conditions on the parameters of failure flow of military vehicles

2021 ◽  
pp. 095440702110202
Author(s):  
Nikolaj Dobrzinskij ◽  
Algimantas Fedaravicius ◽  
Kestutis Pilkauskas ◽  
Egidijus Slizys
Keyword(s):  
Climatic Factors ◽  
Armed Forces ◽  
Climatic Conditions ◽  
Operating Conditions ◽  
Technical Equipment ◽  
Factors Affecting ◽  
Military Vehicles ◽  
Equipment Reliability ◽  
Number Of Factors ◽  
The Impact

Relevance of the article is based on participation of armed forces in various operations and exercises, where reliability of machinery is one of the most important factors. Transportation of soldiers as well as completion of variety of tasks is ensured by properly functioning technical equipment. Reliability of military vehicles – armoured SISU E13TP Finnish built and HMMWV M1025 USA built were selected as the object of the article. Impact of climatic conditions on reliability of the vehicles exploited in southwestern part of the Atlantic continental forest area is researched by a case study of the vehicles exploitation under conditions of the climate of Lithuania. Reliability of military vehicles depends on a number of factors such as properties of the vehicles and external conditions of their operation. Their systems and mechanisms are influenced by a number of factors that cause different failures. Climatic conditions represent one of the factors of operating load which is directly dependent on the climate zone. Therefore, assessment of the reliability is started with the analysis of climatic factors affecting operating conditions of the vehicles. Relationship between the impact of climatic factors and failure flow of the vehicles is presented and discussed.

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