BRAZILIAN VERSION OF THE NURSING PROFESSIONAL VALUES SCALE: VALIDITY AND RELIABILITY ASSESSMENT.

Background and Purpose: The Nurses Professional Values Scale-3 (NPVS-3) is an instrument designed to measure nurses professional values. This study aimed to assess the cultural reliability and validity of the NPVS-3 for use in Brazil. Methods: Translation followed the steps: translation, back-translation, Internal consistency was verified using Cronbach's alpha coefficient and construct validity, by confirmatory factor analysis for the NPVS-3 three-domain model. Results: NPVS-3 applied to 169 nursing students. The culturally and semantically equivalent to the original English version was appropriate. The internal consistency values of each factor represented by Cronbach's alpha were adequate: Care (0.790), Activism (0.898), and Professionalism (0.763). Conclusion: The analyses showed that the Brazilian version of NPVS-3 has high validity and reliability, being effective in assessing professional nursing values for Brazil.

Decline in Traffic Congestion Increased Crash Severity in the Wake of COVID-19.

Highway fatalities are a leading cause of death in the U.S. and other industrialized countries. Using highly detailed crash, speed, and flow data, we show highway travel and motor vehicle crashes fell substantially in California during the response to the COVID-19 pandemic. However, we also show the frequency of severe crashes increased owing to lower traffic congestion and higher highway speeds. This "speed effect" is largest in counties with high pre-existing levels of congestion, and we show it partially or completely offsets the "VMT effect" of reduced vehicle miles traveled on total fatalities. During the first eleven weeks of the COVID-19 response, highway driving decreased by approximately 22% and total crashes decreased by 49%. While average speeds increased by a modest 2 to 3 mph across the state, they increased between 10 and 15 mph in several counties. The proportion of severe crashes increased nearly 5 percentage points, or 25%. While fatalities decreased initially following restrictions, increased speeds mitigated the effect of lower vehicle miles traveled on fatalities, yielding little to no reduction in fatalities later in the COVID period.

Percentiles de peso, talla e índice de masa corporal de escolares de Mendoza. Comparación con la referencia de la Organización Mundial de la Salud / Body mass index, weight, and height percentiles in school-aged children from Mendoza. A comparison with the WHO reference

Introducción. La Organización Mundial de la Salud (OMS) recomienda el uso de tablas de referencia para monitorear el crecimiento y estado nutricional de niños, niñas y adolescentes. El peso corporal, la talla y el índice de masa corporal (IMC) son las variables más utilizadas. El presente trabajo tiene como objetivos estimar los percentiles de peso, talla e IMC de escolares (2009-2011) residentes en el departamento San Rafael (Mendoza) y compararlos con la referencia internacional de la Organización Mundial de la Salud, a fin de establecer su pertinencia para la evaluación del crecimiento y estado nutricional de dicha población. Población y métodos. Se realizó un estudio antropométrico transversal en 3448 escolares de entre 4,00 y 13,49 años de edad. Se utilizó el programa LMS ChartMarker Pro para calcular los valores percentilares de peso/edad, talla/edad e IMC/edad, por sexo y edad, y se compararon con las curvas de la OMS. Además, se calcularon diferencias porcentuales (D%) para estimar las diferencias y su significación estadística mediante prueba de Wilcoxon. Resultados. La población de San Rafael mostró, en varones y mujeres, valores percentilares superiores de peso e IMC (D% ≈7 % y 9 %, respectivamente), y menores de talla (D% ≈0,8 %) que los de la OMS (p <0,05). Conclusión. Las diferencias encontradas alertan sobre el empleo de la referencia OMS en la población escolar de San Rafael, ya que sobreestimaría las prevalencias de sobrepeso, obesidad y desnutrición crónica, y subestimaría la de desnutrición aguda y global. Esta situación resalta la importancia de contar con una referencia local.

Introduction. The World Health Organization (WHO) recommends the use of reference tables to monitor the growth pattern and nutritional status of children and adolescents. Body mass index (BMI), weight, and height are the most commonly used variables. The objective of this study was to estimate the BMI, weight, and height percentiles for school-aged children (2009-2011) living in the department of San Rafael (Mendoza) and compare them to the international World Health Organization reference to establish their relevance for the evaluation of the growth pattern and nutritional status of this population. Population and methods. A cross-sectional anthropometric study was conducted in 3448 school-aged children aged 4.00 to 13.49 years. The LMS ChartMarker Pro software was used to estimate the BMI- for-age, weight-for-age, and height-for-age percentiles, by sex and age, and they were compared with the WHO curves. Besides, percentage differences (%D) were calculated to estimate the differences and their statistical significance using the Wilcoxon test. Results. The population of boys and girls in San Rafael showed higher weight and BMI (%D ≈ 7% and 9%, respectively) percentiles, and lower height (%D ≈ 0.8%) values than WHO reference (p < 0.05). Conclusion. The differences found warn about the use of the WHO reference in the school-aged population of San Rafael since it would overestimate the prevalence of overweight, obesity, and chronic malnutrition and underestimate the prevalence of acute and global malnutrition. This situation highlights the importance of having a local reference resource

Body mass index, weight, and height percentiles in school-aged children from Mendoza. A comparison with the WHO reference. / Percentiles de peso, talla e índice de masa corporal de escolares de Mendoza. Comparación con la referencia de la Organización Mundial de la Salud.

Introduction. The World Health Organization (WHO) recommends the use of reference tables to monitor the growth pattern and nutritional status of children and adolescents. Body mass index (BMI), weight, and height are the most commonly used variables. The objective of this study was to estimate the BMI, weight, and height percentiles for school-aged children (2009-2011) living in the department of San Rafael (Mendoza) and compare them to the international World Health Organization reference to establish their relevance for the evaluation of the growth pattern and nutritional status of this population. Population and methods. A cross-sectional anthropometric study was conducted in 3448 school-aged children aged 4.00 to 13.49 years. The LMS ChartMarker Pro software was used to estimate the BMIfor-age, weight-for-age, and height-for-age percentiles, by sex and age, and they were compared with the WHO curves. Besides, percentage differences (%D) were calculated to estimate the differences and their statistical significance using the Wilcoxon test. Results. The population of boys and girls in San Rafael showed higher weight and BMI (%D ≈ 7% and 9%, respectively) percentiles, and lower height (%D ≈ 0.8%) values than WHO reference (p < 0.05). Conclusion. The differences found warn about the use of the WHO reference in the school-aged population of San Rafael since it would overestimate the prevalence of overweight, obesity, and chronic malnutrition and underestimate the prevalence of acute and global malnutrition. This situation highlights the importance of having a local reference resource.

Introducción. La Organización Mundial de la Salud (OMS) recomienda el uso de tablas de referencia para monitorear el crecimiento y estado nutricional de niños, niñas y adolescentes. El peso corporal, la talla y el índice de masa corporal (IMC) son las variables más utilizadas. El presente trabajo tiene como objetivos estimar los percentiles de peso, talla e IMC de escolares (2009-2011) residentes en el departamento San Rafael (Mendoza) y compararlos con la referencia internacional de la Organización Mundial de la Salud, a fin de establecer su pertinencia para la evaluación del crecimiento y estado nutricional de dicha población. Población y métodos. Se realizó un estudio antropométrico transversal en 3448 escolares de entre 4,00 y 13,49 años de edad. Se utilizó el programa LMS ChartMarker Pro para calcular los valores percentilares de peso/edad, talla/edad e IMC/edad, por sexo y edad, y se compararon con las curvas de la OMS. Además, se calcularon diferencias porcentuales (D%) para estimar las diferencias y su significación estadística mediante prueba de Wilcoxon. Resultados. La población de San Rafael mostró, en varones y mujeres, valores percentilares superiores de peso e IMC (D% ≈7 % y 9 %, respectivamente), y menores de talla (D% ≈0,8 %) que los de la OMS (p <0,05). Conclusión. Las diferencias encontradas alertan sobre el empleo de la referencia OMS en la población escolar de San Rafael, ya que sobreestimaría las prevalencias de sobrepeso, obesidad y desnutrición crónica, y subestimaría la de desnutrición aguda y global. Esta situación resalta la importancia de contar con una referencia local.

Valoraciones sobre el procesamiento de información en investigaciones asociadas a especialidades médicas / Assessments on the processing of information in research associated with medical specialties

RESUMEN El presente trabajo tiene como objetivo valorar las regularidades de los principales problemas que se evidencian en el uso y empleo de la dinámica del procesamiento de la información en investigaciones asociadas a especialidades médicas, a partir de una selección de tesis vinculadas a la especialidad de Medicina General Integral y de otras especialidades médicas defendidas en los últimos 5 años en la Universidad de Ciencias Médicas de Camagüey. Los principales resultados de la revisión documental se centran en deficiencias en la presentación e interpretación de la naturaleza de las relaciones entre las variables del diseño metodológico y las técnicas estadísticas que se utilizan desde el diseño, ejecución y presentación del resultado científico.

SUMMARY The present work aims to assess the regularities of the main problems that are evidenced in the use and employment of the dynamics of information processing in research associated with medical specialties, from a selection of theses linked to the specialty of Comprehensive General Medicine and other medical specialties defended in the last 5 years at the University of Medical Sciences of Camagüey. The main results of the documentary review focus on deficiencies in the presentation and interpretation of the nature of the relationships between the variables of the methodological design and the statistical techniques that are used from the design, execution and presentation of the scientific result.

Practical foundations of machine learning for addiction research. Part I. Methods and techniques.

Machine learning assembles a broad set of methods and techniques to solve a wide range of problems, such as identifying individuals with substance use disorders (SUD), finding patterns in neuroimages, understanding SUD prognostic factors and their association, or determining addiction genetic underpinnings. However, the addiction research field underuses machine learning. This two-part narrative review focuses on machine learning tools and concepts, providing an introductory insight into their capabilities to facilitate their understanding and acquisition by addiction researchers. This first part presents supervised and unsupervised methods such as linear models, naive Bayes, support vector machines, artificial neural networks, and k-means. We illustrate each technique with examples of its use in current addiction research. We also present some open-source programming tools and methodological good practices that facilitate using these techniques. Throughout this work, we emphasize a continuum between applied statistics and machine learning, we show their commonalities, and provide sources for further reading to deepen the understanding of these methods. This two-part review is a primer for the next generation of addiction researchers incorporating machine learning in their projects. Researchers will find a bridge between applied statistics and machine learning, ways to expand their analytical toolkit, recommendations to incorporate well-established good practices in addiction data analysis (e.g., stating the rationale for using newer analytical tools, calculating sample size, improving reproducibility), and the vocabulary to enhance collaboration between researchers who do not conduct data analyses and those who do.

Detection of response shift in health-related quality of life studies: a systematic review.

BACKGROUND: Response Shift (RS) refers to the idea that an individual may undergo changes in its health-related quality of life (HRQOL). If internal standard, values, or reconceptualization of HRQOL change over time, then answer to the same items by the same individuals may not be comparable over time. Traditional measures to evaluate RS is prone to bias and strong methodologies to study the existence of this phenomenon is required. The objective is to systematically identify, analyze, and synthesize the existing and recent evidence of statistical methods used for RS detection in HRQOL studies. METHODS: The analysis of selected studies between January 2010 and July 2020 was performed through a systematic review in MEDLINE/PubMed, Scopus, Web of Science, PsycINFO and Google Scholar databases. The search strategy used the terms "Health-Related Quality of Life" and "Response Shift" using the filters "Humans", "Journal Article", "English" and "2010/01/01-2020/07/31". The search was made in August 2020. RESULTS: After considering the inclusion and exclusion criteria, from the total selected articles (675), 107 (15.9%) of the publications were included in the analysis. From these, 79 (71.0%) detected the existence of RS and 86 (80.4%) only used one detection method. The most used methods were Then Test (n = 41) and Oort's Structural Equation Models (SEM) (n = 35). Other method used were Multiple Lineal Regression (n = 7), Mixed-Effect Regression (n = 6), Latent Trajectory Analysis (n = 6), Item Response Theory (n = 6), Logistics Regression (n = 5), Regression and Classification Trees (n = 4) and Relative Importance Method (n = 4). Most of these detected recalibration, including Then Test (n = 27), followed by Oort's SEM that detected the higher combination of RS types: recalibration (n = 24), reprioritization (n = 13) and reconceptualization (n = 7). CONCLUSIONS: There is a continuous interest of studying RS detection. Oort's SEM becomes the most versatile method in its capability for detecting RS in all different types. Despite results from previous systematic reviews, same methods have been used during the last years. We observed the need to explore other alternative methods allowing same detection capacity with robust and highly precise methodology. The investigation on RS detection and types requires more study, therefore new opportunity grows to continue attending this phenomenon through a multidisciplinary perspective.

El Enfoque Bayesiano en las Ciencias de la Salud / The Bayesian Approach in the Health Sciences

En estadística existen dos enfoques básicos, la estadística frecuentista que es la corriente principal y la estadística bayesiana. La mayoría de los principales métodos estadísticos son frecuentistas siendo el enfoque bayesiano más desconocido entre los investigadores. En el presente artículo se exponen los fundamentos lógicos del enfoque bayesiano y su uso mediante un ejemplo de aplicación. En este contexto, más que presentar un debate entre la lógica clásica y la bayesiana, se pretende mostrar de manera introductoria las enormes posibilidades que el enfoque bayesiano puede aportar a la investigación en las Ciencias de la Salud.

In the stadistic field there are two basic approaches, the Frequentist Statistics which is the primary one, and the Bayesian Statistics. The most used statistical methods are the Frequentist methods, being the Bayesian approach the most popular among researchers. In this article, the logical basis of the Bayendian approach and its use are exposed through an application example. In this context, rather than presenting a debate between the classic and the Bayensian logic, it is intended to demonstrate in an introductory method the considerable possibilities how Bayesian approach can contribute to Health and Sciences research.

Exploring physical activity in Central Chile during the Early Ceramic Period and Late Intermediate Period (200-1450 CE).

OBJECTIVES: We explore physical activity in early farming societies of Central Chile during the Early Ceramic and Late Intermediate Periods (200-1450 CE), a time of technological changes and intensification of food production. The existence of differences in entheseal changes (EC) between females and males is evaluated in two periods with different subsistence strategies. MATERIAL AND METHODS: EC were recorded with method in the upper and lower limbs of 56 male and female adult individuals from the Early Ceramic Period (ECP) and Late Intermediate Period (LIP). Hierarchical multiple factor analysis and hierarchical clustering on principal components were performed using an exploratory approach. RESULTS: In all the analyzed limbs, the EC scores are higher in males than females, which may be explained by sexual dimorphism. A constant overlap in the variability of the EC among males and females is observed. However, the EC scores show a different pattern of variability when comparing ECP females with LIP females. The results show that the scores increase in the latter. In contrast, when comparing ECP males with LIP males scores decrease in the later period. DISCUSSION: Physical activity in the societies of Central Chile with incipient agriculture did not vary by sex or during the timeframe studied. Nevertheless, the interaction between sex-period and the variability pattern of the EC from one period to another suggests different ways of doing similar physical activities or different emphases for similar biomechanical actions.

Disjoint and Functional Principal Component Analysis for Infected Cases and Deaths Due to COVID-19 in South American Countries with Sensor-Related Data.

In this paper, we group South American countries based on the number of infected cases and deaths due to COVID-19. The countries considered are: Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Peru, Paraguay, Uruguay, and Venezuela. The data used are collected from a database of Johns Hopkins University, an institution that is dedicated to sensing and monitoring the evolution of the COVID-19 pandemic. A statistical analysis, based on principal components with modern and recent techniques, is conducted. Initially, utilizing the correlation matrix, standard components and varimax rotations are calculated. Then, by using disjoint components and functional components, the countries are grouped. An algorithm that allows us to keep the principal component analysis updated with a sensor in the data warehouse is designed. As reported in the conclusions, this grouping changes depending on the number of components considered, the type of principal component (standard, disjoint or functional) and the variable to be considered (infected cases or deaths). The results obtained are compared to the k-means technique. The COVID-19 cases and their deaths vary in the different countries due to diverse reasons, as reported in the conclusions.

A strategy to impute age at onset of a particular condition from external sources.

A key hypothesis in epidemiological studies is that time to disease exposure provides relevant information to be considered in statistical models. However, the initiation time of a particular condition is usually unknown. Therefore, we developed a multiple imputation methodology for the age at onset of a particular condition, which is supported by incidence data from different sources of information. We introduced and illustrated such a methodology using simulated data in order to examine the performance of our proposal. Then, we analyzed the association of gallstones and fatty liver disease in the Maule Cohort, a Chilean study of chronic diseases, using participants' risk factors and six sources of information for the imputation of the age-occurrence of gallstones. Simulated studies showed that an increase in the proportion of imputed data does not affect the quality of the estimated coefficients associated with fully observed variables, while the imputed variable slowly reduces its effect. For the Chilean study, the categorized exposure time to gallstones is a significant variable, in which participants who had short and long exposure have, respectively, 26.2% and 29.1% higher chance of getting a fatty liver disease than non-exposed ones. In conclusion, our multiple imputation approach proved to be quite robust both in the linear/logistic regression simulation studies and in the real application, showing the great potential of this methodology.

Statistical methods for comparing test positivity rates between countries: Which method should be used and why?

The test positivity (TP) rate has emerged as an important metric for gauging the illness burden due to COVID-19. Given the importance of COVID-19 TP rates for understanding COVID-related morbidity, researchers and clinicians have become increasingly interested in comparing TP rates across countries. The statistical methods for performing such comparisons fall into two general categories: frequentist tests and Bayesian methods. Using data from Our World in Data (ourworldindata.org), we performed comparisons for two prototypical yet disparate pairs of countries: Bolivia versus the United States (large vs. small-to-moderate TP rates), and South Korea vs. Uruguay (two very small TP rates of similar magnitude). Three different statistical procedures were used: two frequentist tests (an asymptotic z-test and the 'N-1' chi-square test), and a Bayesian method for comparing two proportions (TP rates are proportions). Results indicated that for the case of large vs. small-to-moderate TP rates (Bolivia versus the United States), the frequentist and Bayesian approaches both indicated that the two rates were substantially different. When the TP rates were very small and of similar magnitude (values of 0.009 and 0.007 for South Korea and Uruguay, respectively), the frequentist tests indicated a highly significant contrast, despite the apparent trivial amount by which the two rates differ. The Bayesian method, in comparison, suggested that the TP rates were practically equivalent-a finding that seems more consistent with the observed data. When TP rates are highly similar in magnitude, frequentist tests can lead to erroneous interpretations. A Bayesian approach, on the other hand, can help ensure more accurate inferences and thereby avoid potential decision errors that could lead to costly public health and policy-related consequences.

Spatiotemporal analysis of distribution of pest and predator in corn crops

Crop pests have negative impacts on yield. This paper proposes a spatiotemporal geostatistical modeling to compare data of adult Syrphidae fly count and corn leaf aphid Rhopalosiphum maidis (Fitch, 1856) colonies in corn crops. The use of a geostatistical model that allows the space-time variation makes the approach more interesting because it is a more complete model. Multiple regression was used to model the trend component for the variable response adult Syrphidae fly count and corn leaf aphid colonies, with the coordinates serving as covariates and the spatiotemporal variations around the deviation are described by a random spacetime residual field. Finally, the prediction map obtained by kriging may be a biological indicator of possible corn leaf aphid colonies in the corn crop. It was possible to verify that the occurrence of the pest provided a significant increase in adult predators and seminatural habitats may favor populations of natural enemies.

Spatiotemporal analysis of distribution of pest and predator in corn crops

ABSTRACT Crop pests have negative impacts on yield. This paper proposes a spatiotemporal geostatistical modeling to compare data of adult Syrphidae fly count and corn leaf aphid Rhopalosiphum maidis (Fitch, 1856) colonies in corn crops. The use of a geostatistical model that allows the space-time variation makes the approach more interesting because it is a more complete model. Multiple regression was used to model the trend component for the variable response adult Syrphidae fly count and corn leaf aphid colonies, with the coordinates serving as covariates and the spatiotemporal variations around the deviation are described by a random spacetime residual field. Finally, the prediction map obtained by kriging may be a biological indicator of possible corn leaf aphid colonies in the corn crop. It was possible to verify that the occurrence of the pest provided a significant increase in adult predators and seminatural habitats may favor populations of natural enemies.

The Gini Coefficient: A New Approach to Assess Physical Activity Inequality in COPD.

Increasing physical activity (PA) is a complex and challenging task in patients with chronic obstructive pulmonary disease (COPD). However, some questions are raised regarding the evaluation of PA in these patients: Have all aspects of PA evaluation in patients with COPD already been explored in the scientific literature and clinical practice? What is the clinical importance of assessing PA inequality? PA inequality is defined as the Gini coefficient (Ginicoef) of the PA distribution of a population and is already shown to have implications for public health in the general population. It is a simple tool that might allow a better understanding of PA disparities among different COPD populations, although to our knowledge there is no previous investigation of PA inequality in patients with COPD using the Ginicoef. In this perspective study we have provided examples of the Ginicoef use in different scenarios. Future studies might try to apply it in order to identify subpopulations with higher PA inequality, and perhaps are therefore more prone to benefit most from interventions specifically tailored to promote PA. In summary, we propose the quantification of PA inequality with the Ginicoef as a tool that might allow us to see PA even more comprehensively than we already do, expanding our perspective on PA in patients with COPD.

Distribuição espaço-temporal de ocorrências de dengue em Três Corações, Minas Gerais, utilizando processos pontuais / Spatio-temporal distribution of dengue occurrences in Três Corações, Minas Gerais, using point processes

Objetivo: detectar a presença de agrupamentos espaço-temporais dos casos de dengue em Três Corações, Minas Gerais, Brasil, utilizando informações da localização e do tempo de cada ocorrência e a série histórica da precipitação pluviométrica do período de estudo. Métodos: o método Kernel foi utilizado para estimar a intensidade dos casos, enquanto a função K espaço-temporal e o método de varredura foram utilizados para detectar o padrão e identificar agrupamentos, respectivamente. Resultados: a partir dos 2.818 casos observados, verificou-se que a maior parte desses ocorreu no final dos períodos chuvosos. Também foi detectada a presença de agrupamentos de casos, principalmente na Região Central da cidade. Uma razão para a formação de agrupamentos pode ser devido à maior densidade populacional das regiões afetadas. Conclusão: os resultados mostram que indivíduos que moram em regiões densamente povoadas são mais propensos a contrair dengue. Os métodos estatísticos utilizados permitiram caracterizar a distribuição espaço-temporal dos casos de dengue e também podem ser utilizados para analisar outras doenças endêmicas ou pandêmicas, o que pode contribuir para as políticas de prevenção e combate à proliferação dessas doenças.(AU)

Objective: detect the presence of space-time clusters of dengue cases in Três Corações, Minas Gerais, Brazil, using information on the location and time of each occurrence and the historical series of rainfall in the study period. Methods: the Kernel method was used to estimate the intensity of the cases, while the space-time K-function and the scan method were used to detect the pattern and identify clusters, respectively. Results: from the 2,818 observed cases, it was found that most of these occurred in the end of rainy periods. The presence of clusters of cases was also detected, mainly, in the central region of the city. One reason for the formation of clusters may be due to the higher population density of the affected regions. Conclusion: the results show that individuals who live in densely populated regions are more likely to get dengue. The statistical methods used allowed to characterize the spatio-temporal distribution of dengue cases and, they can also be used to analyze other endemic or pandemic diseases, which can contribute to policies to prevent and combat the proliferation of these diseases.(AU)

Spatial-temporal of fire foci in the state of Rio de Janeiro, Brazil / Espaço-temporal de focos de fogo no estado do Rio de Janeiro, Brasil

This study evaluated the space-time variability of fire foci via environmental satellites for the State of Rio de Janeiro (SRJ) based on statistical procedures. The fire foci in the period of 2000 to 2015 were obtained from the BDQueimadas fire database. Descriptive, exploratory, and multivariate statistical analyses were performed in the software environment R i386 version 3.2.5. The north region had 6760 foci (21.11%), the south-central region had 3020 foci (9.43%), the Middle Paraíba had 6,352 foci (19.84%), the Metropolitan areas had 6671 foci (20.83%), and the Green Coast region had 292 foci (0.91%). The cluster analysis identified three homogeneous groups of fire foci (G1, G2, and G3) but did not include the municipality of Campos dos Goytacazes (NA). The G1 group (6.21 ± 0.01 foci, 57.61%) included areas throughout the state and covered the coastal region and lowlands towards the north. The G2 group (6.21 ± 0.01 foci, 34.81%) included the northern, south-central, and coastal shallows regions. The G3 group (6.21 ± 0.01 foci, 9.78%) included the mountain ranges of the state. Environmental characteristics and socioeconomic are crucial in the dynamics of fire foci in Rio de Janeiro.

Este estudo avaliou a variabilidade espaço-temporal de focos de calor via satélites ambientais para o Estado do Rio de Janeiro (SRJ) com base em procedimentos estatísticos. Os focos de calor no período de 2000 a 2015 foram obtidos a partir do banco de dados de focos do BDQueimadas. Análises estatísticas descritivas, exploratórias e multivariadas foram realizadas no ambiente de software R i386 versão 3.2.5. A região Norte tinha 6760 focos (21,11%), a região Centro-Sul tinha 3020 focos (9,43%), o Médio Paraíba tinha 6,352 focos (19,84%), as áreas metropolitanas tinham 6671 focos (20,83%) e a Costa Verde região teve 292 focos (0,91%). A análise de agrupamento identificou três grupos homogêneos de focos de calor (G1, G2 e G3), mas não incluiu o município de Campos dos Goytacazes (NA). Em que se observa no grupo G1 uma forte presença de outliers com valores atípicos, em todos os anos da série temporal, sendo destaque para os anos de 2014 e 2015 que apresentam os maiores números de outliers seguidos dos valores das médias (20.46 e 18.85 focos) acima das medianas (14.00 e 12.50 focos). Comportamentos semelhantes foram observados nos grupos G2 e G3, sendo o grupo G2 com média (81.43 mm e 66.00 focos) e medianas (49.07 e 35.50 focos) com um DP de 27.89 focos de fogo. O grupo G3 com média (314.13 e 361.33 mm) e mediana (204.50 e 76.00 focos) e o maior DP (196,75 focos) em comparação aos demais grupos. Características ambientais e socioeconômicas são cruciais na dinâmica dos focos de calor no Rio de Janeiro.

Osteoarthritis, entheses, and long bone cross-sectional geometry in the Andes: Usage, history, and future directions.

Akin to approaches encouraged by Verano (1997) in the Andes, and Ortner (2011, 2012) for general paleopathological studies, this article focuses on accurate descriptions and definitions of osteoarthritis, entheses, and long bone cross-sectional geometry. By evaluating these conditions as part of biological responses to abnormal skeletal changes and biomechanical stress, this research discusses each condition's pathogenesis. Further, this article emphasizes a "small data" approach to evaluating these conditions in ancient culturally and biologically related human populations, where the study samples must have good skeletal preservation, where estimates of age and sex need to be included as major factors, and where abnormalities need to be described and evaluated. This article also discusses global clinical and osteological research on ways scholars are currently trying to establish industry-wide methods to evaluate osteoarthritis, entheses, and long bone cross-sectional geometry. Recent studies have focused on rigorous evaluation of methodological techniques, recording protocols, and inter- and intra-observer error problems. Additionally, scholars have focused on physical intensity of movement using biomechanics, evaluated burials of known occupation, and used complex statistical methods to help interpret skeletal changes associated with these conditions. This article also narrows to focus on these conditions within thematic "small data" areas throughout the Andes. This research concludes with describing future directions to understand skeletal changes, such as more multidisciplinary studies between osteologists and pathologists, collaborations with living people to collect CT, x-rays, or computer-aided motion capture, and a stronger focus on how these conditions correlate with intense biomechanical changes in younger individuals.

Characterization of Brazilian coffee based on isotope ratio mass spectrometry (δ13C, δ18O, δ2H, and δ15N) and supervised chemometrics.

Authentication of ground coffee has become an important issue because of fraudulent activities in the sector. In the current work, sixty-seven Brazilian coffees produced in different geographical origins using organic (ORG, n = 25) and conventional (CONV, n = 42) systems were analyzed for their stable isotope ratios (δ13C, δ18O, δ2H, and δ15N). Data were analyzed by inferential analysis to compare the factors whereas linear discriminant analysis (LDA), k-nearest neighbors (k-NN), and support vector machines (SVM) were used to classify the coffees based on their origin. ORG and CONV cultivated coffees could not be differentiated according to C stable isotope ratio (δ13C; p = 0.204), but ORG coffees presented higher values of the N stable isotope ratio (δ15N; p = 0.0006). k-NN presented the best classification results for both ORG and CONV coffees (87% and 67%, respectively). SVM correctly classified coffees produced in São Paulo (75% accuracy), while LDA correctly classified 71% of coffees produced in Minas Gerais.

Effect of hydrogeological and anthropogenic factors on the spatial and temporal distribution of CVOCs in the karst system of northern Puerto Rico.

This study evaluates factors affecting the spatial and temporal distribution of chlorinated volatile organic contaminants (CVOCs) in the highly productive aquifers of the karst region in northern Puerto Rico (KR-NPR). Historical records from 1982 to 2016 are analyzed using spatial and statistical methods to evaluate hydrogeological and anthropogenic factors affecting the presence and concentrations of multiple CVOCs in the KR-NPR. Results show extensive spatial and temporal distributions of CVOCs, as single entities and as mixtures. It is found that at least one type of CVOC is present above detection limits in 64% of the samples and 77% of the sampling sites during the study period. CVOC distribution in the KR-NPR is contaminant-dependent, with some species being strongly influenced by the source of contamination and hydrogeological characteristics of the system. Persistent presence of CVOCs in the KR-NPR system, even after contaminated sites have been subjected to active remediation, reflect the high capacity of the system to store and slowly release contaminants over long periods of time. This study shows that karst aquifers are highly vulnerable to contamination and can serve as a long-term route of contaminants to potential points of exposure.