DOES THE SHADOW ECONOMY AFFECT FOREIGN DIRECT INVESTMENT? CASE STUDY OF POLAND AND POLISH REGIONS

The main goal of the research was to identify the relationship between the level of shadow economy and Foreign Direct Investment. The research was carried in Poland and Polish regions during 1990-2020. MIMIC approach was employed to calculate the level of shadow economy as a % of Polish and regional GDP. Pearson correlation index and Kolmogrov-Smirnov test were applied as well. The study proved there is a sound negative correlation (-0,636) between the shadow economy and foreign direct investment in Poland, but regional associations between those two variables demonstrated different results. Unlike in other Polish provinces, in Opolskie and Podkarpackie the correlation index confirmed a positive association between the level of shadow economy and FDI flow.

Theoretical Relationship Between Two Measures of Spike Synchrony: Correlation Index and Vector Strength

Information processing in the nervous system critically relies on temporally precise spiking activity. In the auditory system, various degrees of phase-locking can be observed from the auditory nerve to cortical neurons. The classical metric for quantifying phase-locking is the vector strength (VS), which captures the periodicity in neuronal spiking. More recently, another metric, called the correlation index (CI), was proposed to quantify the temporally reproducible response characteristics of a neuron. The CI is defined as the peak value of a normalized shuffled autocorrelogram (SAC). Both VS and CI have been used to investigate how temporal information is processed and propagated along the auditory pathways. While previous analyses of physiological data in cats suggested covariation of these two metrics, general characterization of their connection has never been performed. In the present study, we derive a rigorous relationship between VS and CI. To model phase-locking, we assume Poissonian spike trains with a temporally changing intensity function following a von Mises distribution. We demonstrate that VS and CI are mutually related via the so-called concentration parameter that determines the degree of phase-locking. We confirm that these theoretical results are largely consistent with physiological data recorded in the auditory brainstem of various animals. In addition, we generate artificial phase-locked spike sequences, for which recording and analysis parameters can be systematically manipulated. Our analysis results suggest that mismatches between empirical data and the theoretical prediction can often be explained with deviations from the von Mises distribution, including skewed or multimodal period histograms. Furthermore, temporal relations of spike trains across trials can contribute to higher CI values than predicted mathematically based on the VS. We find that, for most applications, a SAC bin width of 50 ms seems to be a favorable choice, leading to an estimated error below 2.5% for physiologically plausible conditions. Overall, our results provide general relations between the two measures of phase-locking and will aid future analyses of different physiological datasets that are characterized with these metrics.

Character correlation and its use for identification

A method is presented for correlating phylogenetic characters through cladistic analysis. It extends the use of phylogenetic datasets for diagnostic purposes. It improves matrix-based identification tools by predicting novel character-state combinations that were not observed when the key was constructed. By interpreting homoplasy as analytical error, hypothetical character-state combinations are tested for the homoplasy that they would add to the shortest tree(s). The correlation is equal to the homoplasy summed across all state combinations, divided by a maximum possible value. The results depend on uncertainty about the sequence of state transitions and their overlap among characters. A correlation index r is proposed for sets of non-additive characters; it is a kind of multiple-regression value, and its ensemble value R is a statistic of a whole matrix. This approach can be used to select sets of the best "proxy" characters to substitute for unobservable characters of interest. The concept can be extended to continuous characters. Worked examples are given with datasets of various insect orders.

Concordance between body fat percentage stablished by bio impedance and estimation formulas based in anthropometric measurements

Obesity is one of the most important health issues worldwide. According to the Mexican National Survey of Health and Nutrition 2018 “ENSANUT”, 76.8% of women and 73% of men who are 18 years or older are overweight or obese, and the majority are not well diagnosed. One of the greatest difficulties in order to diagnose this disease is the poor correlation between the BMI and the real fat percentage. There are different ways to estimate the fat percentage. Some of them are the formulas based on anthropometric measures. We conducted a retrolective, descriptive, transversal trial to analyze the correlation between the fat percentage measured by bioelectrical impedance with In Body 230 and the one calculated with the Deurenberg, Lean, and CUN BAE formulas in Mexican adults. We analyzed 319 people, 111 men, and 208 women. The average age was 43.8, and 44.13 years, respectively. The average BMI for each gender was 36.5 kg/m2 and 33.8 kg/m2, and the average fat percentage was 38.23 and 45.53 respectively. We calculated de Pearson correlation index between fat percentage mesure by bioelectrical impedance and the one calculated by the formulas enlisted before. We also calculated the W/H and the average between the three formulas. The Pearson correlation index for Deurenberg’s formula was 0.71, for men and 0.816 for women. For Lean’s formula was 0.622 for men and 0.701 for women, and for CUN BAE’s formula 0.77for men, and 0.856 for women. All of them with estatistical significance (p<0.001). For the W/H was 0.702 (p<0.001) for men and 0.681 (p<0.001) for women, and for the average of the three formulas was 0.73 (p<0.001) for men and 0.828 (p<0.001) for women. In conclusion CUN BAE´s and Deurenberg’s formulas have a higher correlation with the fat percentage in both genders, and CUN BAE’s formula is the one with more correlation in women.

Obesity in postmenopausal women: causes, prevalence and specific risks: role of decreased

Obesity is one of the most important health issues worldwide. According to the Mexican National Survey of Health and Nutrition 2018 “ENSANUT”, 76.8% of women and 73% of men who are 18 years or older are overweight or obese, and the majority are not well diagnosed. One of the greatest difficulties in order to diagnose this disease is the poor correlation between the BMI and the real fat percentage. There are different ways to estimate the fat percentage. Some of them are the formulas based on anthropometric measures. We conducted a retrolective, descriptive, transversal trial to analyze the correlation between the fat percentage measured by bioelectrical impedance with In Body 230 and the one calculated with the Deurenberg, Lean, and CUN BAE formulas in Mexican adults. We analyzed 319 people, 111 men, and 208 women. The average age was 43.8, and 44.13 years, respectively. The average BMI for each gender was 36.5 kg/m2 and 33.8 kg/m2, and the average fat percentage was 38.23 and 45.53 respectively. We calculated de Pearson correlation index between fat percentage mesure by bioelectrical impedance and the one calculated by the formulas enlisted before. We also calculated the W/H and the average between the three formulas. The Pearson correlation index for Deurenberg’s formula was 0.71, for men and 0.816 for women. For Lean’s formula was 0.622 for men and 0.701 for women, and for CUN BAE’s formula 0.77for men, and 0.856 for women. All of them with estatistical significance (p<0.001). For the W/H was 0.702 (p<0.001) for men and 0.681 (p<0.001) for women, and for the average of the three formulas was 0.73 (p<0.001) for men and 0.828 (p<0.001) for women. In conclusion CUN BAE´s and Deurenberg’s formulas have a higher correlation with the fat percentage in both genders, and CUN BAE’s formula is the one with more correlation in women.

Tetragonisca angustula resin gathering behaviour of Schizolobium parahyba

Tetragonisca angustula is a very important stingless bees species. This study aimed to report the resin gathering behaviour of this species of a possible new resin source: Schizolobium parahyba. Evaluations of temperature, number of bees in gathering activity, time and season were used to characterize bee’s behaviour. Resin gathering activities were concentered between 10 and 14 hours, with a moderate linear positive correlation index with the temperature. No bee activity was observed when temperatures were below 16.69°C. Gathering suffered extreme reduction during winter and greater activity in summer. Bees exploration were concentered on the younger leafs and apical portion of S. parahyba. Older leafs were mainly ignored, and gradually the exploring activity was constantly migrating to most young parts, while apical exploration was consistent all the studied period.

Discussion on Nursing Mode of Ecmo in Treating Severe Patients

Objective: To evaluate the nursing effect of Ecmo treatment for severe patients.Methods :66 patients treated with extracorporeal membrane pulmonary oxygenation were included in the experimental data. From August 2018 to August 2019, the patients were divided into experimental group and reference group by random digital table method, each group was 33 cases. Routine nursing and targeted nursing were performed to compare the complications of the two groups.Results :(1) The correlation index of extracorporeal membrane pulmonary oxygenation treatment before treatment was consistent, P>0.05, the oxygen saturation and oxygen partial pressure of 2 h、4h after treatment in the experimental group were higher than those in the reference group, compared with the reference group, the carbon dioxide partial pressure of 2 h、4h after treatment in the experimental group was lower, showing statistical significance of data test (PP>0.05). (2) The incidence of infection, bleeding, coagulation, embolism and hypotension in the experimental group (12.12%) was lower than that in the reference group (45.45%), showing statistical significance (P<0.05).Conclusion: the specific nursing effect of extracorporeal membrane pulmonary oxygenation in severe patients can effectively improve the success rate of treatment, and the possibility of complications during treatment is low.

Texture Representation and Application of Colored Spun Fabric Using Uniform Three-Structure Descriptor

The local binary pattern (LBP) and its variants have shown their effectiveness in texture images representation. However, most of these LBP methods only focus on the histogram of LBP patterns, ignoring the spatial contextual information among them. In this paper, a uniform three-structure descriptor method was proposed by using three different encoding methods so as to obtain the local spatial contextual information for characterizing the nonuniform texture on the surface of colored spun fabrics. The testing results of 180 samples with 18 different color schemes indicate that the established texture representation model can accurately express the nonuniform texture structure of colored spun fabrics. In addition, the overall correlation index between texture features and sample parameters is 0.027 and 0.024, respectively. When compared with the LBP and its variants, the proposed method obtains a higher representational ability, and simultaneously owns a shorter time complexity. At the same time, the algorithm proposed in this paper enjoys ideal effectiveness and universality for fabric image retrieval. The mean Average Precision (mAP) of the first group of samples is 86.2%; in the second group of samples, the mAP of the sample with low twist coefficient is 89.6%, while the mAP of the sample with high twist coefficient is 88.5%.