The new concept to measure human freedom examines the relationship of the Coefficient of Liberalism (L); and, the variables grouped in three dimensions: the forces of modern markets, private property; and, Institutionality. The analyzed population corresponded to 116 countries. 158 variables were collected per country for 10 years. For the analysis, information from The Global Competitiveness Index Historical Dataset © 2008-2018 of the World Economic Forum was used, with which an Xnxl Database was used with index and coefficient values, country codes, global id, identified series and treatments (Income groups, Regions and Forum classification). The hypothesis test, linear regression analysis, ANOVA, PCA, univariate variance and eta-square were used as statistics. The L Coefficient has a statistically significant positive correlation with the Global Competitiveness Index (R 2 =0,82; F(1,114) = 516,61; Sig.=,000)); and, it served to evaluate the three treatments analyzed. The means of the income groups differ significantly, F(1,112) = 5,68, p < ,001, η2 = 0,14 for the dependent variable of the Coefficient of Liberalism (L). In addition, the means of the Regions differ significantly, F
This document proposes the calculation of Hemeroby in Peru, examining the levels of relation of Hemeroby with the departmental factors of regional naturalness in the 24 Departments of Peru. The methodology used considers the data from the National Institute of Statistics and RapidEye TM satellite images corresponding to the year 2019. Pearson statistical analysis, ANOVA and regression analysis were used as statistics. The article shows that the Departments with the highest Hemeroby in Peru are San Martín (57.93), Lambayeque (57.65), while those with the lowest Hemeroby are Moquegua (44.07), Ica (45.24). The mean of Hemeroby in Peru is 53.28 with a calculated error deviation of A strong positive correlation between the variable "Natural pasture area / departmental area" and the variable " Altitude of the capital of the Department" (CC = .818, p <.001); and, with the variable "Differential of the psychometric fan" (CC = .838, p <.001) were found. Also founded a positive correlation between the variable "Altitude of the capital of the Department" and the variable "Differential of the psychometric range" (CC = .877, p <.001) This research serves as a platform to identify critical points of increasing anthropogenic influence in rapidly developing regions of Peru.
The new concept of Evolution Coefficient (E) in Peru examines the levels of Complaints of Family Violence due to Physical Aggression (DVFAF), both dimensions of Ethological Factors'. The levels of the variables of the Collaboration Factors grouped into three dimensions are also examined: Social, Economic; and Human Resources in Education and Health in the 24 Departments of Peru. The dataset © of the National Institute of Statistics (INEI) between 2010 and 2020 is used. Economic inactivity (men and women) and GDP as economic concepts added to the participation of professors and collegiate doctors as human resources available in each territory, destined to calculate patterns of family violence in the national geographic diversity. The E Coefficient maintains a strong correlation with the dimensions of the Collaboration Factors' (R 2 =0.99; F (11,247) = 2,479.73; p < 001), which makes it possible to visualize the levels of family violence. A strong correlation is identified between the E Coefficient and DVFAF (R 2 =0.91; F (1,262) = 2,478.19; p < 001), which corroborates the link between DVFAF dimension and Collaboration Factors in Peru. In the case of economically active men, 31.88 cases of DVFAF are reduced (R 2 =0.91; F (1,286) = 2,951.79; p < 001). In 2020, 75% of Peru is at least 4 times more violent than in 2010. The value of Eta square indicated a large effect of the Departments on the E coefficient (F (23,240) = 3.20; p < 001, η2 = 0.23). It is recommended to account for the job opportunities of citizens, as well as to train Health and Education professionals around social problems, taking into account the need for a multidisciplinary perspective to reduce family violence in Peru.
The new concept of industrial hemp genetic selection examines the relationship levels of the Human Wellbeing Coefficient (K), and the variables grouped in three dimensions of promotion and protection human health with legality framework. The industrial hemp population was 47 hybrids. Eighteen samples were made for each hybrid during six weeks of evaluation. The Hewlett Packard 1100 HPLC equipment was used to analyze the fresh inflorescence samples during the 2019-2020 agricultural season in Montevideo, Uruguay. The hypothesis test, linear regression analysis, ANOVA, Decision Tree, PCA, HCA and Nearest Neighbor Analysis were used as statistics. The coefficient K has a statistically significant positive correlation with the variable Total Cannabidiols -TCBD (CC = ,978; p <.005). It also with the Total Tetrahydrocannabinols -TTHC variable (CC = ,936; p <.005) and with the Full Protection Projection -R1s variable (CC = ,979; p <.005). It is observed that the K coefficient is negatively correlated with the Coefficient of Promotion -R9. When K values increase, the probability of increasing the promotion and protection of human health is higher (R2=0,99; F(4,841) = 30.974.72; Sig = ,000). Hybrids whose K values >4.82 were selected. From the analysis of PCA and HCA, it has been possible to select the six best hybrids and were grouped into two categories. The first group of superior hybrids. This analysis confirmed the potency of the K Coefficient to select hybrids that contain the highest capacity to promote and protect human health.
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