A comparative study and data analysis for the Ultimate Fighting Championship

Mixed Martial Arts is the fastest growing sport with many organizations worldwide. The biggest stage or biggest organization for Mixed Martial Arts is the Ultimate Fighting Championship (UFC). There are eight weight classes for men. The website: http://www.foxsports.com/ufc/stats provides data on fighters in all these categories. This data measures Striking Accuracy, Take downs, Reversals, Knockdowns, etc. in each category. It is interesting to understand and interpret all these numbers and study their relationships. Statistical tools like both parametric and nonparametric inference may give rise to such interpretations and provide explanations how the weight classes differ from one another. In this study, we selected 30 fighters per weight class and conducted some comparative study. Using Correlation Analysis, Shapiro-Wilk Test, Levene’s Test ANOVA, and Kruskal-Wallis Test. We believe that our study will give rise to many striking insights, which may be of help for future research

SISTEMA DE POSICIONAMIENTO LOCAL BASADO EN UNA RED WI-FI Y UNA INTERFAZ GRÁFICA DESARROLLADA CON PYTHON PARA ANALIZAR EL DESEMPEÑO DE JUGADORES DE SOCCER

ResumenEste artículo describe el desarrollo de un sistema de posicionamiento de jugadores de soccer en la cancha para analizar su ubicación, desplazamiento y velocidad en partidos y entrenamientos, con el fin de utilizar estos datos en la evaluación cuantitativa de su desempeño. El sistema está basado en la triangulación de la posición, mediante la medida de la intensidad de señal recibida (RSS) de las conexiones de una red Wi-Fi, dicha triangulación se realiza en un script de Python y los datos se despliegan en una interfaz gráfica desarrollada con Tkinter y Matplotlib.Palabras Clave: Python, Sistema de posicionamiento local, Soccer, Wi-Fi. LOCAL POSITIONING SYSTEM BASED ON A WI-FI NETWORK AND A GRAPHICAL INTERFACE DEVELOPED WITH PYTHON TO ANALYZE THE PERFORMANCE OF SOCCER PLAYERS AbstractThis article describes the development of a positioning system of soccer players on the field, in order of analysing their location, displacement and velocity in games and training, with the final purpose of using this data for the quantitative evaluation of their performance. The system is based on the position triangulation, by the measurement of strong signal (RSSI) of Wi-Fi web connections, this triangulation works in a Python script and data is shown in a graphic interface developed using Tkinter and Matplotlib.Keywords: Local position system, Python, Soccer, Wi-Fi

USO DE HIDRÓGENO COMO ADITIVO PARA COMBUSTIÓN DOMÉSTICA. ANÁLISIS ESTEQUIOMÉTRICO

Resumen   En este artículo se estudió la estequiometría de la reacción de combustión para conocer la posibilidad de sustituir una parte del combustible doméstico, gas LP, por hidrógeno producido mediante electrólisis, HHO, para lograr una mezcla gas LP-hidrógeno con propiedades de combustión similares a las del gas licuado de petróleo y disminuir las emisiones directas de CO2 desprendidas por la reacción de combustión.Lo anterior se logró haciendo un balance de energía sobre la reacción de combustión para una temperatura adiabática de flama definida, analizando el requerimiento de aire necesario para que exista una reacción completa dependiendo de la fracción de HHO presente en la mezcla.Con el proceso anterior se obtuvo el aire necesario para cualquier porcentaje de gas LP sustituido por HHO, el porcentaje de aire necesario como porcentaje de aire teórico dependiendo de la fracción de gas LP sustituida y la cantidad de CO2 desprendida en función del HHO presente en la mezcla.Palabras Clave: Combustión, estequiometría, gas LP, hidrógeno USE OF HYDROGEN AS AN ADDITIVE FOR DOMESTIC COMBUSTION. STOICHIOMETRIC ANALYSISAbstractIn this article, the stoichiometry of the combustion reaction was studied to know the possibility of replacing a part of the domestic fuel, LP, by hydrogen produced by electrolysis, HHO, to achieve an LP gas-hydrogen gas mixture with combustion properties similar to the ones of the liquefied petroleum gas and reduce the direct emissions of CO2 released by the combustion reaction.The above was achieved by making an energy balance over the combustion reaction for a defined flame adiabatic temperature, analyzing the air requirement for a complete reaction depending on the HHO fraction present in the mixture.With the above process, the air required for any percentage of HHO-substituted LP gas was obtained, the percentage of air required as a percentage of theoretical air depending on the fraction of LP gas substituted and the amount of CO2 evolved as a function of HHO present in the mixture.Keywords: Combustion, hydrogen, LP gas, stoichiometry

Estudio de validación de cuatro diferentes criterios para el diagnóstico de síndrome metabólico en población infantil

  Introducción: El síndrome metabólico (SM) es un problema de salud pública, el cual no cuenta con estrategias adecuadas de prevención, diagnóstico y tratamiento para población infantil. Los criterios existentes son controversiales y no son aplicables en los niños. Asimismo, varían según autores y comités de expertos; lo que podría tener importantes consecuencias en el diagnóstico de SM, impactando el tratamiento oportuno y el pronóstico del individuo. Objetivo: Validar criterios (NCEP-ATPIII; Cook, Ford y Duncan, et al; Ferranti, et al; Cruz, et al; e IDF1) para el diagnóstico de SM en niños mexicanos. Metodología: Estudio transversal de 2599 niños entre 6 y 16 años, residentes de la Ciudad de México. Se consideró SM con tres o más de los cinco componentes en los distintos criterios; y dos o más componentes con la presencia de obesidad central para IDF. Se consideró como Gold Standard la combinación de los cinco criterios diagnósticos. Para identificar el mejor valor predictivo se calculó sensibilidad, especificidad, valor predictivo positivo (VPP), valor predictivo negativo (VPN) y razón de verosimilitud. Resultados: Se observó una mayor proporción de individuos diagnosticados con SM con el criterio de Ferranti, et al. en comparación con los demás criterios evaluados. Nuestra propuesta ad hoc presentó una alta sensibilidad (0,89) y especificidad (0,90) frente al Gold Standard aplicado. Conclusión: El criterio propuesto por nosotros contiene una elección de componentes sencillos y de bajo costo, que facilitará su aplicación, permitiendo la unificación en el diagnóstico, tratamiento y pronóstico poblacional, reduciendo los índices de morbimortalidad en mexicanos.Introduction Metabolic syndrome (MS) is a public health problem without appropriate strategies for prevention, diagnosis and treatment in children. Existing criteria are controversial and not applicable for pediatric population, with variations according to different authors and expert committees, which could have important consequences  in MS diagnosis, treatment and prognosis. Objective: To validate different definitions (NCEP-ATPIII; Cook, Ford and Duncan, et al; Ferranti, et al; Cruz, et al; and IDF1) for metabolic syndrome diagnosis in Mexican children. Methodology: Cross-sectional study of 2599 children aged between 6 and 16 years, residents of Mexico City. MS was defined as the presence of three or more of the five components in the different criteria; and two or more components with the presence of central obesity for IDF. The Gold Standard was considered as the combination of the five diagnostic criteria. To identify the best predictive value, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and likelihood ratio were calculated. Results: A greater proportion of individuals diagnosed with the Ferranti, et al criterion was observed in comparison with the other criteria evaluated. We proposed an ad hoc criteria which showed a high sensitivity (0,89) and specificity (0,90) compared to the Gold Standard applied. Conclusion: Our diagnostic criteria contains a choice of simple and low-cost components that will facilitate its application in health institutions and will unify- diagnostic criteria, treatment, and prognosis, reducing morbidity and mortality rates in Mexican population

Type 2 Diabetes Variants Disrupt Function of SLC16A11 through Two Distinct Mechanisms

Type 2 diabetes (T2D) affects Latinos at twice the rate seen in populations of European descent. We recently identified a risk haplotype spanning SLC16A11 that explains ∼20% of the increased T2D prevalence in Mexico. Here, through genetic fine-mapping, we define a set of tightly linked variants likely to contain the causal allele(s). We show that variants on the T2D-associated haplotype have two distinct effects: (1) decreasing SLC16A11 expression in liver and (2) disrupting a key interaction with basigin, thereby reducing cell-surface localization. Both independent mechanisms reduce SLC16A11 function and suggest SLC16A11 is the causal gene at this locus. To gain insight into how SLC16A11 disruption impacts T2D risk, we demonstrate that SLC16A11 is a proton-coupled monocarboxylate transporter and that genetic perturbation of SLC16A11 induces changes in fatty acid and lipid metabolism that are associated with increased T2D risk. Our findings suggest that increasing SLC16A11 function could be therapeutically beneficial for T2D. Video Abstract [Figure presented] Keywords: type 2 diabetes (T2D); genetics; disease mechanism; SLC16A11; MCT11; solute carrier (SLC); monocarboxylates; fatty acid metabolism; lipid metabolism; precision medicin

Novel Common Genetic Susceptibility Loci for Colorectal Cancer

BACKGROUND: Previous genome-wide association studies (GWAS) have identified 42 loci (P < 5 × 10-8) associated with risk of colorectal cancer (CRC). Expanded consortium efforts facilitating the discovery of additional susceptibility loci may capture unexplained familial risk. METHODS: We conducted a GWAS in European descent CRC cases and control subjects using a discovery-replication design, followed by examination of novel findings in a multiethnic sample (cumulative n = 163 315). In the discovery stage (36 948 case subjects/30 864 control subjects), we identified genetic variants with a minor allele frequency of 1% or greater associated with risk of CRC using logistic regression followed by a fixed-effects inverse variance weighted meta-analysis. All novel independent variants reaching genome-wide statistical significance (two-sided P < 5 × 10-8) were tested for replication in separate European ancestry samples (12 952 case subjects/48 383 control subjects). Next, we examined the generalizability of discovered variants in East Asians, African Americans, and Hispanics (12 085 case subjects/22 083 control subjects). Finally, we examined the contributions of novel risk variants to familial relative risk and examined the prediction capabilities of a polygenic risk score. All statistical tests were two-sided. RESULTS: The discovery GWAS identified 11 variants associated with CRC at P < 5 × 10-8, of which nine (at 4q22.2/5p15.33/5p13.1/6p21.31/6p12.1/10q11.23/12q24.21/16q24.1/20q13.13) independently replicated at a P value of less than .05. Multiethnic follow-up supported the generalizability of discovery findings. These results demonstrated a 14.7% increase in familial relative risk explained by common risk alleles from 10.3% (95% confidence interval [CI] = 7.9% to 13.7%; known variants) to 11.9% (95% CI = 9.2% to 15.5%; known and novel variants). A polygenic risk score identified 4.3% of the population at an odds ratio for developing CRC of at least 2.0. CONCLUSIONS: This study provides insight into the architecture of common genetic variation contributing to CRC etiology and improves risk prediction for individualized screenin

Genetic Drivers of Heterogeneity in Type 2 Diabetes Pathophysiology

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes1,2 and molecular mechanisms that are often specific to cell type3,4. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P \u3c 5 × 10-8) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores5 in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care

Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes1,2 and molecular mechanisms that are often specific to cell type3,4. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P &lt; 5 × 10-8) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores5 in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.</p

Cardiovascular disease, chronic kidney disease, and diabetes mortality burden of cardiometabolic risk factors from 1980 to 2010: A comparative risk assessment

Background: High blood pressure, blood glucose, serum cholesterol, and BMI are risk factors for cardiovascular diseases and some of these factors also increase the risk of chronic kidney disease and diabetes. We estimated mortality from cardiovascular diseases, chronic kidney disease, and diabetes that was attributable to these four cardiometabolic risk factors for all countries and regions from 1980 to 2010. Methods: We used data for exposure to risk factors by country, age group, and sex from pooled analyses of population-based health surveys. We obtained relative risks for the effects of risk factors on cause-specific mortality from meta-analyses of large prospective studies. We calculated the population attributable fractions for each risk factor alone, and for the combination of all risk factors, accounting for multicausality and for mediation of the effects of BMI by the other three risks. We calculated attributable deaths by multiplying the cause-specific population attributable fractions by the number of disease-specific deaths. We obtained cause-specific mortality from the Global Burden of Diseases, Injuries, and Risk Factors 2010 Study. We propagated the uncertainties of all the inputs to the final estimates. Findings: In 2010, high blood pressure was the leading risk factor for deaths due to cardiovascular diseases, chronic kidney disease, and diabetes in every region, causing more than 40% of worldwide deaths from these diseases; high BMI and glucose were each responsible for about 15% of deaths, and high cholesterol for more than 10%. After accounting for multicausality, 63% (10·8 million deaths, 95% CI 10·1-11·5) of deaths from these diseases in 2010 were attributable to the combined effect of these four metabolic risk factors, compared with 67% (7·1 million deaths, 6·6-7·6) in 1980. The mortality burden of high BMI and glucose nearly doubled from 1980 to 2010. At the country level, age-standardised death rates from these diseases attributable to the combined effects of these four risk factors surpassed 925 deaths per 100 000 for men in Belarus, Kazakhstan, and Mongolia, but were less than 130 deaths per 100 000 for women and less than 200 for men in some high-income countries including Australia, Canada, France, Japan, the Netherlands, Singapore, South Korea, and Spain. Interpretation: The salient features of the cardiometabolic disease and risk factor epidemic at the beginning of the 21st century are high blood pressure and an increasing effect of obesity and diabetes. The mortality burden of cardiometabolic risk factors has shifted from high-income to low-income and middle-income countries. Lowering cardiometabolic risks through dietary, behavioural, and pharmacological interventions should be a part of the global response to non-communicable diseases. Funding: UK Medical Research Council, US National Institutes of Health. © 2014 Elsevier Ltd

Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants

Summary Background Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. Methods For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. Findings We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls. Interpretation The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks