scholarly journals Formulation of India State Hunger Index and Assessment of Associated Factors

2021 ◽  
Vol 9 (VII) ◽  
pp. 1489-1496
Author(s):  
Arshi T. Khan
Keyword(s):  
Principal Component Analysis ◽  
Drinking Water ◽  
Associated Factors ◽  
Principal Component ◽  
Premature Death ◽  
Index Score ◽  
Factors Affecting ◽  
Adequate Diet ◽  
Sanitation Facility ◽  
Minimum Index

There are many faces of hunger such as loss of energy, lack of interest, increased vulnerability to disease, shortfalls in nutritional status and premature death. Hunger is usually linked with lack of food. India State Hunger Index was formulated by assigning weights to the components of the index using principal component analysis. Association between hunger index and factors affecting it was assessed. Kerala has the minimum index score indicating less hunger, whereas, Jharkhand has the maximum index score depicting serious hunger situation. Literacy (men-women), households with improved drinking water facility and households with sanitation facility are highly associated with the India State Hunger Index. The factors like literacy (men-women), household with improved drinking water and sanitation facility and child’s adequate diet are required to be considered while framing the policies to mitigate the problem of hunger.

Reliability Parameters Forecasting for Transmission Lines Based on Principal Component Regression

2013 ◽  
Vol 291-294 ◽  
pp. 2381-2386 ◽  
Author(s):  
Wen Xia Liu ◽  
Ji Kai Xu ◽  
Hong Yuan Jiang ◽  
Yong Tao Shen
Keyword(s):  
Principal Component Analysis ◽  
Transmission Lines ◽  
Principal Component Regression ◽  
Principal Component ◽  
Forecasting Accuracy ◽  
Factors Affecting ◽  
Reliability Parameters ◽  
Impacting Factors ◽  
Simulation Results

It is the foundation for evaluating the reliability of transmission lines to obtain and analyze the original reliability parameters. However, these parameters depend on long- term statistic and calculation. In the case of lacking such parameters in a new project , this paper proposes a method of Principal Component Analysis to obtain the principal component of the impacting factors ,in which various factors affecting reliability parameters are taken into account. Through this method, we can use PCR to obtain the failure rate of the unknown transmission lines on the base of the known credible lines’ rates. The simulation results show that the proposed approach possesses higher forecasting accuracy and provides references for the power system dispatching departments and transmission lines maintenance departments.

scholarly journals Research on key influence factors of creativity development of applied undergraduates based on PCA

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Xiangmin Ren ◽  
Jingwei Yu
Keyword(s):  
Principal Component Analysis ◽  
Influence Factors ◽  
Principal Component ◽  
Heilongjiang Province ◽  
Key Factors ◽  
Factors Affecting ◽  
The Core ◽  
Creativity Development ◽  
Teachers And Students ◽  
Core Characteristics

Abstract Creativity is one of the core characteristics of talent; for this reason, the creativity development of applied undergraduates should be one of the basic components of their education. This article gives an overview of the meaning of the creativity of applied undergraduates and makes a literature knowledge-mining and expert investigation on the factors affecting the creativity development. We obtained more than 100 influencing factors, filtered out the duplicative factors, and formed the remaining factors into a questionnaire. A survey was conducted among 1460 teachers and students of some applied undergraduates in Heilongjiang Province. By using principal component analysis (PCA) to analyse the questionnaire, the key factors that affect the creativity development of applied undergraduates are obtained, and the key factors are systematically analysed. According to the results of the analysis, the specific ways and methods of the creativity development of applied undergraduates are put forward.

scholarly journals Assessment of Groundwater Quality Based on Matter Element Extension Model

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Jin Jing ◽  
Qian Hui ◽  
Chen Yu-Fei ◽  
Xi Wen-Juan
Keyword(s):  
Principal Component Analysis ◽  
Drinking Water ◽  
Groundwater Quality ◽  
Principal Component ◽  
Analysis Method ◽  
Entropy Weight ◽  
Extension Method ◽  
Groundwater Quality Assessment ◽  
Extension Model ◽  
Dissolution And Precipitation

The basic theory and calculating processes of matter element extension method are discussed in detail. Mass balance simulation is used to study the changes of groundwater chemistry. Results show that calcite and dolomite are oversaturated, while gypsum, fluorite, and halite are unsaturated in the simulation path; so calcite precipitates, while gypsum, fluorite, halite, and dolomite dissolve. The changing tendency of Ca2+/Na+is apparent. Because of the dissolution and precipitation of minerals, the content of each ion changes. Parameters of groundwater are basically within the permissible limits and meet the requirement of drinking water standards. By comparing the evaluation results obtained from matter element extension method, osculating value method based on entropy weight, and principal component analysis method, it is proved that matter element extension is an effective and reasonable method for groundwater quality assessment. The converting tendency of groundwater quality is judged based on the extension indexes; this characteristic is unique of matter element extension method.

Principal Component Analysis of Hydrological Data

2010 ◽  
pp. 364-388
Author(s):  
Petr Praus
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Drinking Water ◽  
Ground Water ◽  
Principal Component ◽  
Component Analysis ◽  
Data Sets ◽  
Hydrological Data ◽  
First Case

In this chapter the principals and applications of principal component analysis (PCA) applied on hydrological data are presented. Four case studies showed the possibility of PCA to obtain information about wastewater treatment process, drinking water quality in a city network and to find similarities in the data sets of ground water quality results and water-related images. In the first case study, the composition of raw and cleaned wastewater was characterised and its temporal changes were displayed. In the second case study, drinking water samples were divided into clusters in consistency with their sampling localities. In the case study III, the similar samples of ground water were recognised by the calculation of cosine similarity, the Euclidean and Manhattan distances. In the case study IV, 32 water-related images were transformed into a large image matrix whose dimensionality was reduced by PCA. The images were clustered using the PCA scatter plots.

scholarly journals Diversity of entomopathogenic fungi associated with Mediterranean fruit fly (Ceratitis capitata (Diptera: Tephritidae)) in Moroccan Argan forests and nearby area: impact of soil factors on their distribution

BMC Ecology ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Ayoub Hallouti ◽  
Mohamed Ait Hamza ◽  
Abdelaziz Zahidi ◽  
Rachid Ait Hammou ◽  
Rachid Bouharroud ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Entomopathogenic Fungi ◽  
Ceratitis Capitata ◽  
Chemical Properties ◽  
Principal Component ◽  
Fruit Fly ◽  
Component Analysis ◽  
Organic Content ◽  
Pathogenicity Test ◽  
Factors Affecting

Abstract Background Studying the ecology of biocontrol-agents is a prerequisite to effectively control medfly (Ceratitis capitata (Diptera: Tephritidae)) with entomopathogenic fungi. In this context, factors affecting the occurrence and distribution of medfly-associated entomopathogenic-fungi were studied. Soil samples (22) were collected from natural and cultivated areas of Souss-region Morocco. Results A total of 260 fungal isolates belonging to 22 species and 10 genera were obtained by using medfly pupae as bait. Medfly-associated fungi were detected in all studied soils and pupae infection percentages ranged from 3.33% to 48%. Two genera, Fusarium and Beauveria were the most frequent with 83 isolates (32%) and 50 isolates (19.23%) respectively. Pathogenicity test of isolated species against medfly pupae showed high mortality rates up to 91% for some strains. Principal component analysis (PCA) demonstrated a strong influence of origin, physical, and chemical properties of soil on the abundance of these fungi. In general, medfly-associated fungi were more abundant in soils with moderate pH (7.5 to 8) having high sand and organic content. High relative humidity negatively influenced the abundance of these fungi. Both factors directly affected the fungal infection percentages in pupae. The response of fungi to these parameters varied among species. According to principal component analysis (PCA), the soils of argan fields and forests were more suitable for the development of medfly-associated fungi than citrus orchards. Conclusions These results guide identifying suitable soils for the effective application of entomopathogenic fungi as biological control agents. In summary, isolated indigenous strains seem to be a promising option to control C. capitata.

The Establishment of Principal Component Analysis Assessment Model for Drinking Water Quality of City Resource

2014 ◽  
Vol 675-677 ◽  
pp. 960-963
Author(s):  
Li Feng Sun ◽  
Qing Jie Qi ◽  
Xiao Liang Zhao ◽  
Rui Feng Li
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Drinking Water ◽  
Water Resources ◽  
Principal Component ◽  
Water Source ◽  
Component Analysis ◽  
Assessment Model ◽  
Affecting Factors

In order to effectively control pollution of sources of drinking water, improve the environmental quality of drinking water and guarantee the sanitation of drinking water, it is very important to assess water source quality. Main factors of drinking water were identified. Then principal component analysis was used to establish assessment model of drinking water, which could ensure that under the condition that the primitive data information was in the smallest loss, a small number of variables were used to replace the integrated multi-dimensional variables to simplify the data structure. The weightings of principal component were determinated as theirs pollution ratios. This paper was based on the theoretical study of principal component analysis, used the monitoring data on water quality of the main water resources in 2013 to evaluate and analyze the water quality of water resources. Analysis content included the main affecting factors, cause of pollution and the degree of pollution.The resulted showed that: the main affecting factors on water quality of Fo Si water source was CODMn, TP, fluoride.

scholarly journals Barriers to increasing fruit and vegetable intakes in the older population of Northern Ireland: low levels of liking and low awareness of current recommendations

2009 ◽  
Vol 13 (4) ◽  
pp. 514-521 ◽  
Author(s):  
Katherine M Appleton ◽  
Rory McGill ◽  
Charlotte Neville ◽  
Jayne V Woodside
Keyword(s):  
Principal Component Analysis ◽  
Northern Ireland ◽  
Telephone Survey ◽  
Principal Component ◽  
Fruit And Vegetable ◽  
Older Population ◽  
Factors Affecting ◽  
Five Factors ◽  
Willingness To Change ◽  
Low Levels

AbstractObjectiveTo investigate barriers to increasing fruit and vegetable (f + v) intakes in a large sample of the older population of Northern Ireland (NI), in relation to current intakes.DesignThe study was conducted using a telephone survey assessing f + v intakes, barriers to increasing intakes and various demographic and lifestyle characteristics. Barriers to increasing intakes were investigated using twenty-two closed-response items and one open-response item.SettingNI.SubjectsFour hundred and twenty-six older people from NI, representative of the older population of NI.ResultsPrincipal component analysis of the twenty-two closed-response items revealed five factors affecting f + v consumption. Significant associations with current intakes were found where greater f + v consumption was associated with greater ‘liking’ for f + v (B = 0·675, P < 0·01), greater ‘awareness of current recommendations’ for consumption (B = 0·197, P < 0·01) and greater ‘willingness to change’ (B = 0·281, P < 0·01). ‘Ease of consumption’ and ‘difficulties in achieving consumption’ were not associated with f + v intakes. Similar associations between f + v intakes and ‘liking’ and ‘awareness’ were also found in those consuming low intakes of f + v or those at risk of consuming low intakes. Low awareness and knowledge of recommendations were also found in response to the open-ended question in all groups, although some weight was also given here to environmental difficulties, such as cost and access.ConclusionsThese findings suggest that interventions aiming to increase f + v intakes in the older population of NI should focus predominantly on improving liking and improving knowledge and awareness of current recommendations.

Research on Waste Tubes Recycling with Material Properties in Wuhan

2014 ◽  
Vol 951 ◽  
pp. 133-136
Author(s):  
Min Zhang ◽  
Jia Ying Wang ◽  
Liang Liang Liang ◽  
Bin Hu ◽  
Wan Li Hu
Keyword(s):  
Principal Component Analysis ◽  
Material Properties ◽  
Research Result ◽  
Residual Effect ◽  
Principal Component ◽  
Effect Factors ◽  
Factors Affecting ◽  
Personal Profile ◽  
Is Theory ◽  
Main Factors

The theoretical framework of this research is Theory of Planned Behavior (TPB). And from personal profile, residual effect factors and attitudes to recycling, this research investigates the factors affecting residents’ behavior of recycling waste fluorescent tubes, the characteristics of the behavior and related preference. The survey data are collected by the means of questionnaires and their exploratory analysis is conducted by SPSS and Principal Component Analysis (PCA). The statistical result illustrates that the main factors affecting the behaviors are propaganda, enterprise, recycling device, stimulation and government. Based on the summary of research result, a recycling device used to recycle waste tubes in communities is designed to improve this research.

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