scholarly journals The development of professionally important qualities as a result of various activities: Learning, sport, and labour market (El desarrollo de cualidades profesionales importantes como resultado de diversas actividades: Aprendizaje, deporte y mercado labo

Retos ◽  
2021 ◽  
Vol 43 ◽  
pp. 17-26
Author(s):  
Daniil Shmatkov ◽  
Bielikova Nadiia ◽  
Brytan Yurii ◽  
María Sánchez Zafra
Keyword(s):  
Labour Market ◽  
Correlation Coefficient ◽  
Soft Skills ◽  
Rank Correlation ◽  
Correlation Factor ◽  
Secondary Importance ◽  
Kendall Rank Correlation ◽  
Two Factors ◽  
Competencias Profesionales ◽  
Key Participants

  The purpose of this article is to define evolution of opinions about the formation of the in-demand qualities (soft skills) in the Ukrainian labour market and the possibilities of their formation through sports based on the opinions of key participants in the market. The basis of the study is a survey of professionals (104 respondents), students (314 respondents), and schoolchildren (326 respondents). The coherence of the respondents' answers was checked by the Spearman rank correlation coefficient and Kendall rank correlation coefficient. The correlation, factor, and cluster analyses were used in the study methods. Factor analysis allowed us to form obtained qualities into two factors (of primary and secondary importance). Using cluster analysis, all the qualities that were identified by the respondents were divided into three uniform groups. It was also proved that the clusters differ most in terms of the qualities that were named by schoolchildren, and the clusters which are the closest in terms of the qualities were highlighted by the employers. The study was conducted within the framework of new approaches to searching the tendencies and key elements of competition on the labour markets, and it complements the work (Cachón-Zagalaz et al., 2020) by including the aspects into the analysis of schoolchildren and highlighting the distinguishing aspects that are involved in their perception of in-demand qualities. The uniqueness of the qualities that were highlighted by the students who do sport and the importance of these qualities in the formation of professional competencies have been proved.  Resumen. El propósito de este artículo es definir la evolución de las opiniones sobre la formación de las cualidades más demandadas (soft skills) en el mercado laboral ucraniano y las posibilidades de su formación a través del deporte a partir de las opiniones de los principales agentes del mercado. La base del estudio es una encuesta realizada a profesionales (104 encuestados), estudiantes (314 encuestados) y escolares (326 encuestados). La coherencia de las respuestas de los encuestados se comprobó mediante el coeficiente de correlación de rangos de Spearman y el coeficiente de correlación de rangos de Kendall. En los métodos de estudio se utilizaron los análisis de correlación, de factores y de conglomerados. El análisis factorial permitió formar las cualidades obtenidas en dos factores (de importancia primaria y secundaria). Mediante el análisis de conglomerados, todas las cualidades identificadas por los encuestados se dividieron en tres grupos uniformes. También se comprobó que los clusters son los que más se diferencian en cuanto a las cualidades nombradas por los escolares, y los clusters que más se acercan en cuanto a las cualidades fueron destacados por los empresarios. El estudio se ha realizado en el marco de los nuevos enfoques de búsqueda de las tendencias y elementos clave de la competencia en los mercados de trabajo, y complementa el trabajo (Cachón-Zagalaz, et al., 2020) al incluir los aspectos en el análisis de los escolares y destacar los aspectos distintivos que intervienen en su percepción de las cualidades demandadas. Se ha comprobado la singularidad de las cualidades destacadas por los alumnos que hacen deporte y la importancia de las mismas en la formación de competencias profesionales.

scholarly journals A Method for Predicting the Remaining Useful Life of Lithium-Ion Batteries Based on Particle Filter Using Kendall Rank Correlation Coefficient

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4183
Author(s):  
Diju Gao ◽  
Yong Zhou ◽  
Tianzhen Wang ◽  
Yide Wang
Keyword(s):  
Particle Filter ◽  
Lithium Ion Batteries ◽  
Correlation Coefficient ◽  
Lithium Batteries ◽  
Rank Correlation ◽  
Lithium Ion ◽  
Remaining Useful Life ◽  
Kendall Rank Correlation ◽  
Battery Capacity ◽  
Useful Life

With the wide application of lithium batteries, battery fault prediction and health management have become more and more important. This article proposes a method for predicting the remaining useful life (RUL) of lithium-ion batteries to avoid a series of safety problems caused by continuing to use the battery after reaching its service life threshold. Since the battery capacity is not easy to obtain online, we propose that some measurable parameters should be used in the battery discharge cycle to estimate battery capacity. Then, the estimated capacity is used to replace the measured value of the particle filter (PF) based on the Kendall rank correlation coefficient (KCCPF) to predict the RUL of the lithium batteries. Simulation results show that the proposed method has high prediction accuracy, stability, and practical value.

Analysis of Environmental Materials with Correlation between PM2.5 and Other Indexes in AQI of Wuhan

2014 ◽  
Vol 1003 ◽  
pp. 269-272
Author(s):  
Ying Hong Xie ◽  
Xiao Wei Han ◽  
Peng Sun ◽  
Xue Lian Zhang
Keyword(s):  
Particulate Matter ◽  
Correlation Coefficient ◽  
Fine Particulate Matter ◽  
Rank Correlation ◽  
Spearman’S Rank Correlation ◽  
Spearman’S Rank Correlation Coefficient ◽  
Kendall Rank Correlation ◽  
Environmental Materials ◽  
Management Work ◽  
Main Factor

Fine particulate matter PM2.5 is the main factor of "Haze” weather. The paper chose the content of various indicators in the sets of air quality index AQI detected by a monitoring station in Wuhan city as samples. Based on the methods of Spearman's rank correlation coefficient and Kendall rank correlation coefficient to establish mathematical model, the paper analyzed the correlation between the content of PM2.5 and other five basic detection indicators and corresponding pollutants, with providing theoretical and experimental evidence for air management work. Two methods of the experiment results showed that PM2.5 (content) has a strong correlation with sulfur dioxide, nitrogen dioxide, particulate matter, carbon monoxide (content), and had a negative correlation with ozone (content).

scholarly journals Imprecision nutrition? Different simultaneous continuous glucose monitors provide discordant meal rankings for incremental postprandial glucose in subjects without diabetes

2020 ◽  
Vol 112 (4) ◽  
pp. 1114-1119 ◽  
Author(s):  
Rebecca Howard ◽  
Juen Guo ◽  
Kevin D Hall
Keyword(s):  
Correlation Coefficient ◽  
Rank Correlation ◽  
Postprandial Glucose ◽  
Glucose Response ◽  
Simultaneous Measurements ◽  
Kendall Rank Correlation ◽  
Freestyle Libre ◽  
Increase Risk ◽  
Ad Libitum ◽  
Continuous Glucose Monitors

ABSTRACT Background High postprandial glucose excursions may increase risk for disease. Individuals have widely varying glucose responses to different meals, and precision nutrition approaches often seek to personalize diets to minimize postprandial glycemic responses as measured by continuous glucose monitors (CGMs). However, it is unknown whether different CGM devices result in concordant meal rankings according to postprandial glycemic excursions. Objective We explored whether meal rankings according to postprandial glycemic excursions differ between 2 simultaneously worn CGMs. Methods We collected 27,489 simultaneous measurements from Dexcom G4 Platinum and Abbott Freestyle Libre Pro CGMs during 28 inpatient days in 16 adults without diabetes. Simultaneous glucose measurements obtained for 2 h following 760 ad libitum meals were used to compare within-subject meal rankings between the CGM devices according to their incremental glucose response. Results Postprandial responses to ad libitum meals were highly variable, with the Abbott and Dexcom systems resulting in within-subject incremental mean ± SD glucose CVs of 91.7 ± 1.9% and 94.2 ± 2.7%, respectively. Within-subject meal rankings for incremental glycemic responses were relatively discordant between CGMs, with a mean Kendall rank correlation coefficient of 0.43 ± 0.05. Meals in the bottom compared with those in the top half of incremental glycemic responses ranked by Abbott resulted in 50 ± 10% (P = 0.0002) less glycemic reduction as measured by Dexcom, and vice versa. The missing glycemic reduction by eating meals ranked according to the discordant CGM was inversely correlated with each subject's Kendall rank correlation coefficient (r = −0.95; P < 0.0001). Conclusions Precision nutrition approaches that use CGMs to personalize meal recommendations for minimizing glycemic excursions may be premature given the discordance of within-subject meal rankings between simultaneous CGM devices. More research is needed to clarify the source of this imprecision. This trial was registered at clinicaltrials.gov as NCT03407053.

scholarly journals Precision Nutrition and Reliability of Continuous Glucose Monitors: Insights From the PREDICT Study

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 513-513
Author(s):  
Jordi Merino ◽  
Sarah Berry ◽  
Sajaysurya Ganesh ◽  
Joan Capdevila ◽  
David Drew ◽  
...  
Keyword(s):  
Correlation Coefficient ◽  
Coefficient Of Variation ◽  
Area Under The Curve ◽  
Rank Correlation ◽  
Funding Sources ◽  
Kendall Rank Correlation ◽  
Health And Social Care ◽  
Freestyle Libre ◽  
Ad Libitum ◽  
Continuous Glucose Monitors

Abstract Objectives The use of continuous glucose monitors (CGM) provides a more in-depth characterization of glycemic variation in response to environmental stimuli, but concerns about CGM reliability for categorizing glycemic responses to foods and meals exist. We sought to evaluate the concordance and reliability of two simultaneously worn CGM devices on postprandial glycemic responses. Methods We examined the correlation and coefficient of variation of the 2h glucose incremental area under the curve (iAUC) for 21,527 standardized and ad libitum meals consumed by 368 healthy participants from the PREDICT-1 Study. Included participants were simultaneously monitored with either two Abbott Freestyle Libre Pro devices (n = 339, same device group) or the combination of Abbott Freestyle Libre Pro and Dexcom G6 devices (n = 29, inter device group). Within-subject 2 h iAUC glucose meal rankings for paired CGM devices were assessed using the Kendal-tau measure for ranking concordance. Results The correlation coefficient of the 2 h glucose iAUC for paired CGM devices was 0.97 (95% CI, 0.96 to 0.97) for same device comparisons and 0.78 (0.76 to 0.80) for inter device comparisons. The coefficient of variation of the 2 h glucose iAUC for standardized meals was 5.1% (interquartile range, 2.2 to 10.1) for same device comparisons and 15.1% (5.9 to 31.2) for inter device comparisons. Similar results were observed for ad libitum meals with same and inter device coefficients of variation of 8.9% (3.3 to 21.3) and 24.2% (10.2 to 53.1%), respectively. Meal rankings for the 2 h glucose iAUC were concordant between paired CGM devices, with a mean Kendall rank correlation coefficient of 0.86 (sd = 0.07) for same device comparisons and 0.63 (sd = 0.011) for inter device comparisons. Conclusions These data provide evidence for repeatability and concordance for ranking of glycemic responses, and suggest that factors other than CGM sensors mostly drive within-subject meal categorization. Our findings are critical for identifying sources of variability in glycemic responses for the eventual implementation of precision nutrition. Funding Sources Zoe Global, UK Government Department of Health and Social Care, Wellcome Trust. National Institutes of Health.

Sign in / Sign up

Export Citation Format

Share Document