scholarly journals Principal component analysis of geoelectrical signals measured in the seismically active area of Basilicata Region (southern Italy)

2004 ◽  
Vol 4 (5/6) ◽  
pp. 663-667 ◽  
Author(s):  
L. Telesca ◽  
G. Colangelo ◽  
K. Hattori ◽  
V. Lapenna

Abstract. Geoelectrical fluctuations are the end product of several geophysical phenomena. In particular geoelectrical signals measured in seismically active areas can be attributed to stress and strain changes, associated with earthquakes. The complexity of this problem has suggested the development of advanced statistical methods to investigate the heterogeneous nature of these fluctuations. In this paper we analysed the time dynamics of short-term variability of geoelectrical field measured at Giuliano station, located in Basilicata Region, one of the most seismically active areas of southern Italy. We applied the principal component analysis (PCA). The analysis has shown earthquake precursory patterns in the daily variation of the principal components, revealing that the PCA approach is promising for monitoring seismic areas.

2011 ◽  
Vol 50-51 ◽  
pp. 404-408
Author(s):  
Xiao Qiang Guo ◽  
Zhen Dong Li ◽  
Dong Dong Hao ◽  
Xin Xie ◽  
Jian Min Wang

This paper from the economic analysis, quantitative evaluation of the 2010 Shanghai World Exop impact. First, from the short-term and long-term benefits of the two considerations, the loss of earnings, base construction costs on the percentage of total funding, permanent building retained, the number of daily tours, the number of participating countries for the evaluation index, subjectively weight to the five indicators,calculate its scores to rank for five World Expos including Shanghai World Expo. Second, using principal component analysis, we get the five indicators of objective weighting and ranking for above five World Expos. The results show that the Shanghai World Expo will boost the economic development and has a huge influence on the economy


2018 ◽  
Vol 17 (3) ◽  
pp. 819-840
Author(s):  
Mariana Ferreira Soares Marques ◽  
Renata Turola Takamatsu ◽  
Bruna Camargos Avelino

Resumo: A forma como as pessoas lidam com suas finanças pessoais é um tema cada vez mais relevante diante da complexidade dos meios de pagamento atuais, das formas de investimento existentes e da oferta do crédito restrita. Neste estudo propõe-se a analisar como os estudantes de Ciências Contábeis da Universidade Federal de Minas Gerais (UFMG) têm gerenciado suas finanças, a propensão ao endividamento ou à poupança desses indivíduos e a influência de aspectos comportamentais — o autocontrole, a visão de curto prazo, a preferência por crédito e a propensão a planejar — na gestão dos recursos. Foi realizado um estudo quantitativo, com a aplicação de questionários a 104 estudantes. Os resultados da pesquisa foram analisados por meio da análise fatorial, testes de correlação e de diferenças de médias. Observou-se, de forma geral, que os acadêmicos de Ciências Contábeis são altamente bancarizados e, em grande parte, possuem poupança e realizam depósitos regulares. Foi identificada uma maior propensão à poupança em alunos inseridos em famílias com renda superior a R$ 5.201,00 e uma aversão a crédito de estudantes que poupam com a finalidade de prevenir emergências. A idade dos alunos não esteve correlacionada a nenhum padrão de comportamento.Palavras-chave: Finanças Pessoais. Propensão ao endividamento. Propensão à poupança.Personal finance: an analysis of Undergraduate Accounting students behavior  Abstract: The ways in which people deal with money is relevant given the complexity of current payment methods, existing types of investment and the credit supply restrictions. This research's aim was to assess how Undergraduate Accounting students manage their finances, their propensity for getting into debt, propensity to save and analyze how behavioral aspects (self-control, short-term thinking, preference for credit and propensity to plan) influence resources’ management. We have applied a questionnaire to 104 students.  We used principal component analysis, correlations and tests of differences between means. The results suggest that Accounting students are highly banked and, most of them have savings account and make periodic deposits. We have identified a higher Propensity to save money in families with incomes greater than R$ 5.201,00 and debt aversion of students who save to prevent emergencies. Student's age was not correlated with any behavior pattern.Keywords: Personal Finance. Propensity to save. Propensity for getting into debt.


2021 ◽  
Vol 17 (64) ◽  
pp. 112-123
Author(s):  
Esther Morencos ◽  
Blanca Romero-Moraleda ◽  
Markel Rico-González ◽  
Daniel Rojas-Valverde ◽  
José Pino-Ortega

The aim of this study was to assess the principal components (PC) of women’s field hockey players´ TL distinguishing by playing positions (i.e., back, midfielder, forward). Data were collected from sixteen players belonging to the Spanish National women’s field hockey team during 13 official matches from the European Championship, World Series, and Pre-Olympic tournament. The Principal Component Analysis (PCA) grouped a total of 16 variables in five to six PC, explaining between 68.6 and 80% of the total variance. Different variables formed the PC that explain the player’s performance in different field positions. There were differences by positions in the distance covered at 21 to 24 km·h-1 (midfielders>forwards), decelerations from 5 to 4 m·s-2 (midfielders>forwards), and in maximum accelerations (midfielders>backs). Overall, strength and conditioning coaches should combine exercises which induce a high degree of aerobic endurance and power. However, some specification should be made by playing position: (1) defenders should perform training sessions with at least the same amount of volume as in the matches; (2) forwards should perform training efforts that ensure high repeated sprint ability; and (3) midfielders should perform a high training volume to develop high-intensity aerobic endurance, in combination with short-term efforts.


Author(s):  
Francesco Caridi ◽  
Antonio Francesco Mottese ◽  
Maurizio Messina ◽  
Maurizio D'Agostino

Background and Objectives: In this article a comprehensive study was carried out for Sicilian and Calabrian olive oils authenticity evaluation through chemometric analyses, correlating botanical and geographical origins with samples chemical composition. Method: A total of eighteen Sicilian and Calabrian (southern Italy) olive oil samples were analyzed through gas chromatography (GC). Results: The fatty acids concentration in the investigated samples followed the subsequent order: oleic (C18:1) > palmitic (C16) > linoleic (C18:2) > stearic (C18) > palmitoleic (C16:1) > linoleic (C18:3). The 2D Scatterplot (Principal Component Analysis) showed that, among the analyzed oils, six clusters stand out, which seem to consistently group samples in relation to the cultivars and cultivation areas that share the territorial proximity (same province). Conclusions: Experimental results demonstrated that it is possible to strictly relate, through the PCA, olive oils to their geographical and botanical provenance, thus becoming a useful tool for evaluating product authenticity and to guarantee it to the consumers.


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