scholarly journals Forecasting Models for the Economic Security of Regional Clusters of the National Economy

2018 ◽  
Vol 81 (2) ◽  
pp. 72-81
Author(s):  
N. S. Ivanova
Keyword(s):  
Principal Component Analysis ◽  
National Economy ◽  
Principal Component ◽  
Component Analysis ◽  
Economic Security ◽  
Internal Factors ◽  
Forecasting Models ◽  
Regional Clusters ◽  
Regional Cluster ◽  
Principal Factors

Introduction. The principal internal factors of the economic security of regions are defined by principal component analysis and their correlation with respective indicators is determined. Four principal factors (components) of the economic security of regions are identified. Forecasting models for the economic security of regions of the national economy are constructed by regional cluster using the results of the study. The study is performed by data on main socio-economic indicators of 24 Ukrainian regions over 2008–2015 and by economic security clusters (classified as “good”, “sufficient” and “satisfactory”) defined in previous studies. The purpose of the study is to construct sets of forecasting models for the economic security of the national economy by regional cluster. Methods. Methods of theoretical generalization are used to study and systematize the factors of the economic security of regions; multidimensional statistical methods such as principal component analysis are used to define their correlation with the respective indicators; the method of comparison allows for defining common and distinctive features of the results of computation of the economic security of regions using the constructed models. Results. Principal component analysis used for defining the internal factors of economic security of regions and their correlations with the respective indicators allows for identifying four principal factors (components) of the economic security of regions. Results of principle component analysis show that the significance of the first four latent factors for the overall sample is 86.86% of the dispersion of the analyzed variables (13.14% error); for “good” cluster it is 87.3% (12.7% error); for “sufficient” cluster it is 88.03% (11.97% error); for “satisfactory” cluster it is 86.0% (14.0% error). Four sets of forecasting models are constructed, each consisting of a mathematical description of four principal components for each sample. The implementation of the constructed models confirms the inclusion of the regions to the respective regional clusters. The dynamics of the indicators shows the economic situation and processes in the regions in the respective periods.  Conclusion. The applied character of the constructed models is substantiated by their practical implementation using actual socio-economic data for the regions represented in each of the regional clusters (Dnipropetrovsk, Vinnytsia, and Volyn regions), over the period of 2008–2015. Further studies should focus on making the scale of the economic security performance for the constructed forecasting models, to determine the performance and estimate the probability of insecurity occurrences in the economy using expected (planned) figures of economic development in a region.

Principal component analysis to assess the efficiency and mechanism for ultraviolet-C/polyaluminum chloride enhanced coagulation of algae-laden water

2013 ◽  
Vol 14 (3) ◽  
pp. 493-503
Author(s):  
Hua-Se Ou ◽  
Chao-Hai Wei ◽  
Yang Deng ◽  
Nai-Yun Gao
Keyword(s):  
Principal Component Analysis ◽  
Lake Taihu ◽  
Principal Component ◽  
Component Analysis ◽  
Polyaluminum Chloride ◽  
Algae Biomass ◽  
Principal Factors ◽  
P Factor ◽  
Uv C

Polyaluminum chloride (PAC) coagulation, short wavelength ultraviolet (UV-C at 254 nm) treatment and UV-C/PAC treatment of algae-laden water from Meiliang Gulf (Lake Taihu) were conducted. The intrinsic characteristics and correlations of chromophoric dissolved organic matter (CDOM), algae biomass and other contaminants were investigated. Parallel factor analysis determined four CDOM components, and principal component analysis (PCA) identified three integrated principal factors. PCA Factor 1 had correlations with dissolved organic carbon (DOC) (r = 0.798), UV254 (0.645), humic-like CDOM component C3 (0.892) and C4 (0.876), and Factor 2 correlated with in vivo chlorophyll-a (0.768), microcystin-LR (0.713), protein-like C1 (0.782) and C2 (0.759). Factor 3 had correlations with NH3-N (0.851) and total phosphorus (T-P) (0.716). The variation in PCA factor scores revealed that single PAC coagulation preferentially removed algal cells (Factor 2) but had little effect on NH3-N and T-P (Factor 3). Single UV-C treatment induced degradation of protein-like CDOM and decrease of algal biomass (Factor 2), followed by humic-like CDOM increase from ruptured cells (Factors 1 and 3). Compared with single PAC coagulation (20 mg L−1), the combined UV-C/PAC treatment (700 mJ cm−2 + 20 mg L−1) enhanced the removal of PCA Factors 1, 2 and 3 (15%, 32% and 10%).

Coordination Degree Analysis of Real Estate Investment and the National Economy in China - Based on Principal Component Analysis Method

2013 ◽  
Vol 753-755 ◽  
pp. 2870-2874
Author(s):  
Lian Fa Ruan ◽  
Long Jiang Shen
Keyword(s):  
Principal Component Analysis ◽  
Real Estate ◽  
National Economy ◽  
Principal Component ◽  
Component Analysis ◽  
Real Estate Market ◽  
Real Estate Investment ◽  
The Real ◽  
The Real Estate ◽  
Coordination Degree

Starting from six indicators like the ratio of the real estate investment growth and GDP growth etc., this article analyses the coordination degree of real estate investment and national economy with principal component analysis, and obtains the coordination index. Using 3σ method, the authors calculate the mean and standard deviation of the principal component indicator data, and then establish an early warning interval for real estate market . The results show that the real estate investment is a little excessive in recent years but the coordination degree between the real estate industry and the national economy is generally stable in China. Further investigations indicate that the change of the coordination index of the commercial housing sub-market is consistent with the whole commercial building market, but the one of the non-residential building is opposite to the total CB's.

A German version of the Intermittent Claudication Questionnaire (ICQ): cultural adaptation and validation

VASA ◽  
2012 ◽  
Vol 41 (5) ◽  
pp. 333-342 ◽  
Author(s):  
Kirchberger ◽  
Finger ◽  
Müller-Bühl
Keyword(s):  
Principal Component Analysis ◽  
Intermittent Claudication ◽  
Completion Time ◽  
Short Form ◽  
Principal Component ◽  
Component Analysis ◽  
German Version ◽  
Average Completion Time ◽  
Sf 36 ◽  
Related Quality

Background: The Intermittent Claudication Questionnaire (ICQ) is a short questionnaire for the assessment of health-related quality of life (HRQOL) in patients with intermittent claudication (IC). The objective of this study was to translate the ICQ into German and to investigate the psychometric properties of the German ICQ version in patients with IC. Patients and methods: The original English version was translated using a forward-backward method. The resulting German version was reviewed by the author of the original version and an experienced clinician. Finally, it was tested for clarity with 5 German patients with IC. A sample of 81 patients were administered the German ICQ. The sample consisted of 58.0 % male patients with a median age of 71 years and a median IC duration of 36 months. Test of feasibility included completeness of questionnaires, completion time, and ratings of clarity, length and relevance. Reliability was assessed through a retest in 13 patients at 14 days, and analysis of Cronbach’s alpha for internal consistency. Construct validity was investigated using principal component analysis. Concurrent validity was assessed by correlating the ICQ scores with the Short Form 36 Health Survey (SF-36) as well as clinical measures. Results: The ICQ was completely filled in by 73 subjects (90.1 %) with an average completion time of 6.3 minutes. Cronbach’s alpha coefficient reached 0.75. Intra-class correlation for test-retest reliability was r = 0.88. Principal component analysis resulted in a 3 factor solution. The first factor explained 51.5 of the total variation and all items had loadings of at least 0.65 on it. The ICQ was significantly associated with the SF-36 and treadmill-walking distances whereas no association was found for resting ABPI. Conclusions: The German version of the ICQ demonstrated good feasibility, satisfactory reliability and good validity. Responsiveness should be investigated in further validation studies.

Multifactorial analysis of clinical laboratory signs, the levels of IL-17A, IL-23, IL-33, IL-35, and specific antibodies in the serum of patients with Lyme borreliosis without erythema migrans

2020 ◽  
Vol 4 (11) ◽  
pp. 676-681
Author(s):  
V.V. Sapozhnikova ◽  
◽  
A.L. Bondarenko ◽  
Keyword(s):  
Principal Component Analysis ◽  
Lyme Borreliosis ◽  
Clinical Laboratory ◽  
Acute Infection ◽  
Erythema Migrans ◽  
Principal Component ◽  
Component Analysis ◽  
Control Group ◽  
Multifactorial Analysis ◽  
Specific Antibodies

Aim: to determine the association between clinical laboratory parameters, the production of cytokines (IL-17A, -23, -33, -35), and specific IgM and IgG in the serum of patients with Lyme borreliosis without erythema migrans. Patients and Methods: complete blood count, the concentrations of IL-17A, -23, -33, -35, and the levels of specific IgM and IgG were measured during acute infection and convalescence (n=30). The control group included age- and sex-matched healthy individuals (n=30). Statistical analysis was performed using the StatSoft Statistica v 10.0 software (parametric and non-parametric methods and multifactorial analysis, i.e., principal component analysis). Results: most (80%) patients with Lyme borreliosis without erythema migrans are the people of working age. In most patients, the combination of the specific antibodies against Borrelia afzelii and Borrelia garinii (76.7%) and severe intoxication and inflammatory process (100%) were detected. Moderate and severe disease associated with meningism was diagnosed in 90% and 10%, respectively. The mean duration of hectic period was 8.3±1.27 days. Abnormal ECG was reported in 40% of patients, i.e., conduction abnormalities in 20%, sinus bradycardia in 16.7%,and sinus tachycardia in 3.3%. The clinical laboratory signs of hepatitis without jaundice were identified in 26.7%. During treatment, the significant reduction in band and segmented neutrophil counts as well as the significant increase in platelet count were revealed compared to these parameters at admission. Abnormal cytokine levels (i.e., the increase in IL-17A, -23, -33 and the deficiency of IL-35) were detected. Conclusions: multifactorial analysis has demonstrated that the severity of immunological abnormalities in patients with Lyme borreliosis without erythema migrans is associated with fever, cardiac and liver disorders, the high levels of IL-23 and IL-33, and the lack of IL-35 and specific IgM and IgG. KEYWORDS: tick-borne borreliosis, Lyme disease without erythema migrans, clinical laboratory signs, cytokines, specific antibodies, multifactorial analysis, principal component analysis. FOR CITATION: Sapozhnikova V.V., Bondarenko A.L. Multifactorial analysis of clinical laboratory signs, the levels of IL-17A, IL-23, IL-33, IL-35, and specific antibodies in the serum of patients with Lyme borreliosis without erythema migrans. Russian Medical Inquiry. 2020;4(11):676–681. DOI: 10.32364/2587-6821-2020-4-11-676-681.

Oxypropylation of Brazilian Pine-Fruit Shell Evaluated by Principal Component Analysis

2018 ◽  
Vol 6 (7) ◽  
pp. 715-723 ◽  
Author(s):  
Stephany C. de Rezende ◽  
Jo鉶 A. Pinto ◽  
Isabel P. Fernandes ◽  
Fernanda V. Leimann and Maria-Filomena Barreiro
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis
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