Study of some morphometric and meristic characteristics of Alepes vari (Cuvier, 1833) collected from the Arabian coast / Estudo de características morfométricas e merísticas de Alepes vari (Cuvier, 1833) coletados na costa da Arábia

The present study examines the correlations between fifteen morphometric and ten meristic characters and total length (TL) of males, females, and combined sexes of Alepes vari (Cuvier, 1833) collected from Karachi fish harbor, West Wharf of Karachi Coast. Statistical analyses of linear regression relationships show mostly strong correlations (r≥0.70; p<0.05) between total length (TL) and most morphometric characters in males, females, and combined sexes, except the height of pectoral-fin (PFH), and pelvic-fin base length (PelFL); whereas, meristic characters were found to be constant and indicate weak or negative type correlations (r≤0.50; p>0.05) with total length (TL). Hence, according to our present results, there is a direct relationship between the total length of fish and all morphometric characters, which were found to be the best indicators of positive allometric pattern growth in fish. Moreover, analysis of the 2-sample t-test revealed (t-test; p>0.05) that no sexual dimorphism was reported in Alepes vari. Thus, our present study could be valuable in systematic classification, sexual dimorphism, and management of this species on the Karachi coast.

O presente estudo examina as correlações entre 15 caracteres morfométricos e 10 caracteres merísticos e comprimento total (CT) de machos, fêmeas e sexos combinados de Alepes vari (Cuvier, 1833), coletados do porto de Karachi, West Wharf, na costa de Karachi. As análises estatísticas das relações de regressão linear mostraram, principalmente, correlações fortes (r ≥ 0,70; p < 0,05) entre o CT e a maioria dos caracteres morfométricos em machos, fêmeas e sexos combinados, exceto a altura da nadadeira peitoral e o comprimento da base da nadadeira pélvica, enquanto os caracteres merísticos foram constantes, indicando correlações fracas ou negativas (r ≤ 0,50; p > 0,05) com o CT. Portanto, de acordo com nossos resultados, existe uma relação direta entre o CT dos peixes e todos os caracteres morfométricos, que foram considerados os melhores indicadores de crescimento do padrão alométrico positivo em peixes. Além disso, a análise do teste t de duas amostras revelou (teste t; p > 0,05) que nenhum dimorfismo sexual foi relatado em A. vari.

Study of some morphometric and meristic characteristics of Alepes vari (Cuvier, 1833) collected from the Arabian coast

Abstract The present study examines the correlations between fifteen morphometric and ten meristic characters and total length (TL) of males, females, and combined sexes of Alepes vari (Cuvier, 1833) collected from Karachi fish harbor, West Wharf of Karachi Coast. Statistical analyses of linear regression relationships show mostly strong correlations (r0.70; p 0.05) between total length (TL) and most morphometric characters in males, females, and combined sexes, except the height of pectoral-fin (PFH), and pelvic-fin base length (PelFL); whereas, meristic characters were found to be constant and indicate weak or negative type correlations (r0.50; p>0.05) with total length (TL). Hence, according to our present results, there is a direct relationship between the total length of fish and all morphometric characters, which were found to be the best indicators of positive allometric pattern growth in fish. Moreover, analysis of the 2-sample t-test revealed (t-test; p>0.05) that no sexual dimorphism was reported in Alepes vari. Thus, our present study could be valuable in systematic classification, sexual dimorphism, and management of this species on the Karachi coast.

Resumo O presente estudo examina as correlações entre 15 caracteres morfométricos e 10 caracteres merísticos e comprimento total (CT) de machos, fêmeas e sexos combinados de Alepes vari (Cuvier, 1833), coletados do porto de Karachi, West Wharf, na costa de Karachi. As análises estatísticas das relações de regressão linear mostraram, principalmente, correlações fortes (r 0,70; p 0,05) entre o CT e a maioria dos caracteres morfométricos em machos, fêmeas e sexos combinados, exceto a altura da nadadeira peitoral e o comprimento da base da nadadeira pélvica, enquanto os caracteres merísticos foram constantes, indicando correlações fracas ou negativas (r 0,50; p > 0,05) com o CT. Portanto, de acordo com nossos resultados, existe uma relação direta entre o CT dos peixes e todos os caracteres morfométricos, que foram considerados os melhores indicadores de crescimento do padrão alométrico positivo em peixes. Além disso, a análise do teste t de duas amostras revelou (teste t; p > 0,05) que nenhum dimorfismo sexual foi relatado em A. vari. Assim, o presente estudo pode ser valioso na classificação sistemática, dimorfismo sexual e manejo dessa espécie na costa de Karachi.

Analysis of Association of Brain Natriuretic Peptide Levels and Blood Pressure Variability

Objective: The present study aimed to investigate the relationship between brain natriuretic peptide (BNP) levels and blood pressure variability among hypertensive patients aged over 40 years. Methods: The study recruited 120 patients from a cardiology outpatient clinic who had been diagnosed with hypertension and taking antihypertensive medication for at least 6 months. Demographic and clinical information, blood pressure measurements, and blood samples were collected to measure BNP levels. The standard deviation of the mean arterial pressure over 24 hours was calculated as a measure of blood pressure variability. Linear regression was used to examine the association between BNP levels and blood pressure variability while controlling for age, sex, BMI, and medication history. Results: The study found a significant positive association between BNP levels and blood pressure variability (?=0.31, p=0.002), even after controlling for other variables. The linear regression model explained 20% of the variance in blood pressure variability (R2=0.20, F=9.52, p<0.001). Conclusion: The findings suggest that higher BNP levels are associated with increased blood pressure variability among hypertensive patients. Further studies are needed to explore the underlying mechanisms and the potential implications of this association.

A Study to Analyse Covid-19 Outbreak Using Multiple Linear Regression: A Supervised Machine Learning Approach

Introduction: Globally, COVID-19 have impacted people's quality of life. Machine learning have recently be-come popular for making predictions because of their precision and adaptability in identifying diseases. This study aims to identify significant predictors for daily active cases and to visualise trends in daily active, posi-tive cases, and immunisations. Material and methods: This paper utilized secondary data from Covid-19 health bulletin of Uttarakhand and multiple linear regression as a part of supervised machine learning is performed to analyse dataset. Results: Multiple Linear Regression model is more accurate in terms of greater score of R2 (=0.90)as com-pared to Linear Regression model with R2=0.88. The daily number of positive, cured, deceased cases are signif-icant predictors for daily active cases (p <0.001). Using time series linear regression approach, cumulative number of active cases is forecasted to be 6695 (95% CI: 6259 - 7131) on 93rd day since 18 Sep 2022, if simi-lar trend continues in upcoming 3 weeks in Uttarakhand. Conclusion: Regression models are useful for forecasting COVID-19 instances, which will help governments and health organisations to address this pandemic in future and establish appropriate policies and recom-mendations for regular prevention.

Quantitative characterization of cell physiological state based on dynamical cell mechanics for drug efficacy indication / 药物分析学报

Cell mechanics is essential to cell development and function,and its dynamics evolution reflects the physiological state of cells.Here,we investigate the dynamical mechanical properties of single cells under various drug conditions,and present two mathematical approaches to quantitatively character-izing the cell physiological state.It is demonstrated that the cellular mechanical properties upon the drug action increase over time and tend to saturate,and can be mathematically characterized by a linear time-invariant dynamical model.It is shown that the transition matrices of dynamical cell systems signifi-cantly improve the classification accuracies of the cells under different drug actions.Furthermore,it is revealed that there exists a positive linear correlation between the cytoskeleton density and the cellular mechanical properties,and the physiological state of a cell in terms of its cytoskeleton density can be predicted from its mechanical properties by a linear regression model.This study builds a relationship between the cellular mechanical properties and the cellular physiological state,adding information for evaluating drug efficacy.

Infant mortality in a Brazilian Northeast State between 2009 and 2018: a temporal space approach / Mortalidade infantil em um estado do Nordeste Brasileiro entre os anos de 2009 e 2018: uma abordagem espaço temporal

Abstract Objective: to present the epidemiological profile of infant mortality and neonatal and post neonatal components, in addition to the temporal dynamics of these events in Pernambuco State between 2009 and 2018. Methods: descriptive, ecological, temporal space study of infant mortality in Pernambuco between 2009 and 2018. Epidemiological and temporal space characteristics were described using the Sistema de Informação sobre Mortalidade (Mortality Information System) and the Sistema de Informação sobre Nascidos vivos.(Information System on Live Births) as data sources. Results: there were 19,436 infant deaths in the period; 13,546 (69.7%) in the neonatal period and 5,890 (30.3%) in the post neonatal period. Male (55.4%), non-white children (74.7%) with low birth weight (63.5%) predominated; mothers were aged between 20 and 29 years (46.6%), with 8-11 years of schooling (43.9%) and preterm pregnancy (65.2%). Although the infant mortality rate decreased during the analyzed decade, high rates persisted in cities in the Sertão (backwoods) and Vale do São Francisco and Araripe macroregions of health services. Conclusions: even though infant mortality declined over the years studied, it is necessary to achieve better rates and confront inequalities and other obstacles that perpetuate the event in Pernambuco State.

Resumo Objetivos: apresentar o perfil epidemiológico da mortalidade infantil e dos componentes neonatal e pós-neonatal, além da dinâmica espaço temporal desses eventos em Pernambuco, entre os anos de 2009 e 2018. Métodos: estudo descritivo e ecológico, de abordagem espaço temporal, da mortalidade infantil de Pernambuco entre 2009 e 2018. Foram descritas características epidemiológicas e espaço temporais, tendo como fonte de dados o Sistema de Informação sobre Mortalidade e o Sistema de Informação sobre Nascidos vivos. Resultados: ocorreram 19.436 óbitos infantis no período, sendo 13.546 (69,7%) no período neonatal e 5.890 (30,3%) no período pós neonatal. Predominaram crianças do sexo masculino (55,4%), não brancas (74,7%), com baixo peso ao nascer (63,5%), sendo as mães com idade entre 20 e 29 anos (46,6%), com escolaridade entre oito e 11 anos (43,9%) e com gestação pré-termo (65,2%). Houve decréscimo da taxa de mortalidade infantil durante a década analisada, entretanto elevadas taxas persistiram em municípios das Macrorregiões de saúde Sertão e Vale do São Francisco e Araripe. Conclusões: a mortalidade infantil apresentou cenário de queda ao longo dos anos estudados, todavia é necessário o alcance de melhores taxas, o enfrentamento às desigualdades e a outros entraves que perpetuam o evento no estado de Pernambuco.

Analysis of factors influencing the medical insurance balance of hospitalization expenses for gastric cancer surgery patients under DRG payment / 中华医院管理杂志

Objective:To analyze the influencing factors of the medical insurance balance of hospitalization expenses for gastric cancer surgery patients under DRG payment, for reference for promoting the reform of DRG payment in public hospitals and controlling hospitalization expenses reasonably.Methods:The gastric cancer patients enrolled in the gastroenterology department of a tertiary comprehensive hospital from January to July 2022 were selected as the research subjects. The indicators such as patient age, medical insurance balance, hospitalization expenses and their composition were extracted from the hospital information management system and the medical insurance settlement system a certain city. Descriptive analysis was conducted for all data, and stepwise multiple linear regression was used to analyze the influencing factors of patients′ medical insurance balance. Monte Carlo simulation method was used to simulate different combination scenarios of various influencing factors to analyze the probability of medical insurance balance.Results:A total of 205 patients were contained, including 117 in the medical insurance balance group and 88 in the loss group. The difference in hospitalization expenses and medical insurance balance between the two groups of patients were statistically significant ( P<0.05). The intervention of medical insurance specialists, correct DRG enrollment, parenteral nutrition preparation costs, anti infective drug costs, examination costs, and consumables costs were the influencing factors of patient medical insurance balance ( P<0.05). Through Monte Carlo simulation verification, patients with different cost parenteral nutrition preparations, or different anti infective drug schemes had the higher probability of medical insurance balance in the scenario where the medical insurance commissioner intervenes and the DRG enrollment was correct. Conclusions:The hospital adopted interventions from medical insurance specialists to ensure the correct DRG enrollment of patients, accurate use of parenteral nutrition and anti infective drugs, and reasonable control the cost of examinations and consumables, which could increase the probability of medical insurance balance for gastric cancer surgery patients. In the future, hospitals should further promote the procurement of drug consumables in bulk, reduce unnecessary examinations, develop standardized perioperative nutritional interventions and anti infection treatment pathways, ensure the accuracy of DRG enrollment, optimize clinical diagnosis and treatment pathways to improve the efficiency of medical insurance fund utilization and provide high-quality medical services for patients.

Influencia de factores psicosociales en el clima y estrés laboral del personal de un hospital ecuatoriano / Influence of psychosocial factors on work climate and stress in Ecuadorian hospital personnel

RESUMEN Introducción: actualmente, el estudio de las relaciones del individuo con las condiciones de su trabajo resulta de gran interés. Objetivo: analizar la influencia de factores psicosociales de riesgo en el clima y estrés laboral de los trabajadores de un hospital básico en la ciudad de Ambato, en Ecuador. Materiales y métodos: estudio no experimental, transversal y prospectivo. A cincuenta trabajadores se le aplicaron tres encuestas: CoPsoq-istas21 (versión 2), cuestionario de clima laboral FOCUS-93 y el cuestionario para la evaluación del estrés (versión 3) de la Pontificia Universidad Javeriana. Se utilizaron la prueba de Chi-cuadrado de Pearson, con un nivel de significancia del 0,05, para descartar la hipótesis nula, y la regresión lineal curvilínea para determinar la influencia de los factores en las dos variables dependientes. Resultados: la estima (100 % de desfavorabilidad), las exigencias psicológicas (94 %) y la doble presencia (90 %) fueron los factores psicosociales peor calificados por los informantes. Solo el 40,5 % de los participantes consideraron su clima laboral como satisfactorio; y se registró en el 80 % de la población la presencia de síntomas fisiológicos y psicoemocionales provocados por el estrés. La inseguridad sobre el futuro y el apoyo social/calidad de liderazgo, fueron las subvariables que mayor número de inferencias estadísticas tuvieron con el estrés y el clima laboral. Conclusiones: los factores de riesgo psicosociales influyeron en la percepción negativa del clima laboral y en el incremento de la sintomatología del estrés.

ABSTRACT Introduction: currently, the study of the relationships between people and their work conditions are of great interest. Objective: to analyze the influence of risk psychosocial factors in the labor climate and stress of the workers of a basic hospital in the city of Ambato, Ecuador. Materials and methods: non-experimental, cross-sectional and prospective study. Three surveys were applied to 50 workers: the CoPsoQ-ista21 (version 2), the FOCUS-93 labor climate questionnaire, and the stress evaluation inventory of the Pontificia Universidad Javeriana (version 3). Pearson's Chi-square test, with a significance level of 0.05, was used to discard the null hypothesis, and curvilinear linear regression was used to determine the influence of the factors on the two dependent variables. Results: esteem (100 % unfavorableness), psychological demands (94 %) and double presence (90 %) were the psychosocial factors the informers rated worst. Only 40.5 % of the participants considered their work climate as satisfactory; and the presence of physiological and psycho-emotional symptoms caused by stress was recorded in 80 % of the population. Conclusions: psychosocial risk factors influenced the negative perception of the labor environment and the increase of stress symptoms.

Correlation of Human Height with Hand Dimensions: A Study among Medical students

Background: Anthropometry is widely used for Identification of an individual. Height is one of the most important parameters of anthropometry. It is strongly correlated with the individual’s hand dimensions and if either of the measurements are known, the other can be calculated. Aim and Objective: To know correlation between the hand dimensions and Height of an individual and to apply the regression line of height on hand dimension of the person. Methods and Material: A crosssectional study was conducted among the medical students. Anthropometric indices were recorded after obtaining written consent and institutional approval using standard equipments. Linear regression and Pearson coefficient were calculated to study the correlation and arrive at the equation to calculate Height from Hand length. Results: Age of the study participants who consented for study (150) ranged between 18-24 years. Mean height was 165.91 cm. Mean right hand length was 17.71 cm and 17.69 cm on left hand. Mean hand width was 7.79 cm on right side and 7.56 cm on left side. A statistically significant positive correlation was observed between height and the hand dimensions. Conclusions: There was a statistically significant positive correlation between hand dimensions and height. Forensic investigation, body identification and triage can be facilitated through calculating Height from hand dimensions when only mutilated body remains are received during disasters.

Impacto das mudanças climáticas e da qualidade do ar em hospitalizações por doenças respiratórias em municípios da Região Metropolitana de São Paulo (RMSP), Brasil / Impact of climate change and air quality on hospitalizations for respiratory diseases in municipalities in the Metropolitan Region of São Paulo (MRSP), Brazil

Resumo Este estudo teve por objetivo analisar os possíveis impactos das mudanças climáticas na saúde respiratória nos municípios de Santo André e São Caetano do Sul. Foram analisados dados meteorológicos históricos (temperatura, precipitação, umidade relativa e pressão atmosférica), de qualidade do ar (concentrações de MP10 e O3) e de saúde respiratória (taxas de incidência de internações por doenças respiratórias - TIIDR), relacionados através de modelos estatísticos de Regressão Linear Múltipla (RLM). Dados meteorológicos de projeções climáticas futuras (2019-2099) de três modelos climáticos (um global e dois regionalizados) em dois cenários de emissão foram aplicados aos modelos de RLM. Os resultados das projeções mostraram um aumento de até 10% nas TIIDR em relação aos níveis atuais para São Caetano do Sul no período de 2070-2099. Em Santo André as projeções indicaram redução de até 26% nas TIIDR. A variável de maior peso nos modelos de RLM de Santo André foi a temperatura (-2,15x) indicando que o aquecimento é inversamente proporcional ao aumento nas TIIDR, enquanto em São Caetano do Sul a pressão atmosférica teve o maior peso (2,44x). Para próximos trabalhos recomenda-se a inclusão de projeções futuras de concentrações de poluentes atmosféricos.

Abstract The scope of this study was to analyze the possible impacts of climate change on respiratory health in the municipalities of Santo André and São Caetano do Sul. Historical meteorological data (temperature, precipitation, relative humidity and atmospheric pressure), air quality data (concentrations of PM10 and O3) and respiratory health data (incidence rates of hospitalizations for respiratory diseases - IRHRD) were related through statistical models of Multiple Linear Regression (MLR). Meteorological data from future climate projections (2019-2099) from three different climate models (one global and two regionalized) in two emission scenarios were applied to the MLR models. The results showed that the IRHRD will suffer an increase of up to 10% in relation to the current levels for São Caetano do Sul in the 2070-2099 period. In Santo André, projections indicated a reduction of up to 26% in IRHRD. The most important variable in the MLR models for Santo André was temperature (-2,15x), indicating an inverse relationship between global warming and an increase in IRHRD, while in São Caetano the atmospheric pressure had the greatest weight (2.44x). For future studies, the inclusion of future projections of PM10 concentrations is recommended.

Reasonably conduct the multiple linear regression analysis combined with the propensity score analysis / 四川精神卫生

The purpose of this paper was to introduce how to combine the propensity score analysis to reasonably carry out multiple linear regression analysis. Firstly， it introduced 3 basic concepts related to the propensity score analysis. Secondly， it presented the core contents of the propensity score analysis， that was， three matching methods. Thirdly， through an epidemiological survey example， it gave the whole process of how to use SAS software for the analysis. The contents were as follows： ① for the original data set， test whether the difference of covariates between the treatment group and the control group was statistically significant； ② directly implement the multiple linear regression analysis for the original data set； ③ the propensity score analysis was used to generate the matched data set； ④ for the matched data set， test whether the difference of covariates between the treatment group and the control group was statistically significant； ⑤ a reasonable multiple linear regression analysis was used for the matched data set.

Influence of built environment on circulatory disease mortality: A case study of 17 cities in China / 环境与职业医学

Background In view of circulatory diseases, most previous studies focused on the impacts of air pollution and meteorological factors, while ignoring the influence of built environment. Objective To investigate and quantify the impact of built environment on circulatory diseases in China. Methods Circulatory disease mortality data and built environment data (including urban greenery coverage, urban land use, urban land use mix, urban road facilities and urban medical facilities) of 17 cities in China from 2000 to 2019 were collected. Multiple linear regression was used to analyze which built environment elements had significant influence on circulatory diseases, and to quantify their effects. Furthermore, the changes of built environment indicators on circulatory disease mortality were evaluated under different levels of urban economic development and various air quality. Results The built environment affected the mortality of circulatory diseases during the study period (P<0.05). Urban green space and commercial land area were negatively correlated with circulatory disease mortality, and regression coefficients were −0.550 and −0.280, respectively (P<0.05). On the contrary, the increase of urban road area, residential land ratio, and the degree of land use mix were positively associated with circulatory disease mortality, and their regression coefficients were 0.322, 0.283, and 0.176, respectively (P<0.05). When the level of urban economic development was low, the impact of commercial land use ratio on circulatory diseases was stronger, and the regression coefficient was −0.476 (P<0.05). When urban air pollution worsened, the impacts of per capita green coverage area and per capita urban road area on the disease were more prominent, and the regression coefficients were −0.528 and 0.372, respectively (P<0.05). Conclusion There is a significant correlation between urban built environment and mortality of circulatory diseases. To be specific, circulatory disease mortality has a negative correlation with per capita green coverage area and commercial land use ratio, and a positive correlation with per capita urban road area, residential land ratio and degree of land use mix.

The influence of mindfulness cognitive therapy on the early maladaptive schema in patients with depression / 中华行为医学与脑科学杂志

Objective:To evaluate the effect of mindfulness-base cognitive therapy (MBCT) in improving patients with depression, and to explore its effect on patients early maladaptive schemas (EMSs).Methods:Sixty patients with depressive disorder were included in the pre- and post-control design, and MBCT treatment was carried out for 8 weeks. The Hamilton depression scale-17 (HAMD-17), Hamilton anxiety scale (HAMA), five facet mindfulness questionnaire (FFMQ), and Young schema questionnaire-short form (YSQ-SF) were used for evaluation. The scores of the three time points were compared by one-way repeated measure ANOVA and Kruskal Wallis test. Pearson correlation analysis and multiple linear regression analysis were used to explore the relationship between the improvement degree of depression and anxiety symptoms, as well as the changes of mindfulness level and schema.Results:There were significant differences in the total scores of HAMD-17, HAMA and FFMQ at baseline((15.4±5.0), (21.0±9.6), (115.8±11.7)), 4 weeks after intervention((11.4±6.7), (15.9±10.1), (121.9±14.2)) and 8 weeks((11.0±6.2), (15.4±8.7), (122.6±15.5)) after intervention ( F=25.22, 20.95, 14.02, all P<0.01). Further pairwise comparison, compared with baseline, the total scores of HAMD-17 and HAMA in patients with depression decreased (all P<0.05), and the total scores of FFMQ increased (all P<0.05) in 8 weeks and 4 weeks after treatment.There were no significant differences in the total scores of HAMD-17, HAMA and FFMQ between 8 weeks and 4 weeks after treatment (all P>0.05). There were significant differences on the scores of the emotional deprivation, abandonment/instability, failure, vulner ability to harm or illness, enmeshment/undeveloped self, unrelenting standards/hypercriticalness, and entitlement/grandiosity subscales in the YSQ-SF( H=2.00-17.11, all P<0.05). Regression analysis showed that the FFMQ total score difference has a linear relationship with the HAMA total score difference ( β=-0.363). There was a linear relationship between the emotional deprivation scale score difference and the HAMD-17 total score difference ( β=-0.292). Dependence/incompetence and submission scale score difference showed a linear relationship with the HAMA total score difference ( β=0.334, 0.278). Conclusion:MBCT can improve the anxiety and depression symptoms of patients with depression, and the improvement of some EMSs may be the mechanism of MBCT in the treatment of depression.

Influencing factors associated with delayed time in pre-hospital emergency medical care for hypertensive emergency in the main urban area of Chongqing / 上海预防医学

ObjectiveTo investigate the influencing factors associated with delayed time in pre-hospital emergency medical care in patients with hypertensive emergency in the main urban area of Chongqing. MethodsA total of 1 246 patients with hypertension in the main urban area of Chongqing from March 2018 to August 2021 were included in this study. The delayed time in the pre-hospital emergency medical care was determined. A multivariate linear regression model was used to analyze the influencing factors. ResultsThe delayed time in the pre-hospital emergency medical care for the patients with hypertensive emergency was concentrated in 0‒12 h， with the average of （5.89±1.96） h. The delayed time differed significantly by gender， age， history of atrial fibrillation， diabetes， educational level， time of onset， mode of transportation， awareness of hypertensive emergency， blood pressure at the onset， and presence of persons at the onset of emergency （P<0.05）. Multivariate linear regression analysis showed that educational level， time of onset， blood pressure at the onset， awareness of hypertensive emergency， presence of persons at the onset were linearly correlated with delayed time in the pre-hospital medical care for hypertensive emergencies （P<0.05）. ConclusionDelay in pre-hospital medical care is prevalent for patients with hypertensive emergency in the main urban area of Chongqing. The delayed time is associated with multiple factors， such as educational level， time of onset， blood pressure at onset， awareness of hypertensive emergency， and presence of persons at onset. It warrants further improvement in the interventions to reduce the delay in the pre-hospital medical care.

Arboles de Decisión como Metodología para Determinar el Rendimiento Académico en Educación Superior / Decision Trees as a Methodology to Determine Academic Performance in Higher Education / Árvores de Decisão como Metodologia para Determinar o Desempenho Acadêmico no Ensino Superior

Resumen Introducción. En este artículo se presentan los resultados finales de la investigación Árboles de decisión como metodología para determinar el rendimiento académico en educación superior. Objetivo. Explicar el rendimiento académico de los alumnos que cursan asignaturas relacionadas con la programación en una institución de nivel superior ubicada en la zona urbana de Pánuco, Veracruz, México. El rendimiento académico presenta una situación que no solamente preocupa a las instituciones educativas, sino también a los estudiantes, padres de familia, profesores y directores. Puede mencionarse que este presenta también una situación mundial y que es investigado en diferentes áreas de conocimiento. Materiales y Métodos. Se aplicó un cuestionario a 341 estudiantes repartidos en el segundo, cuarto y sexto semestre. Se utilizaron dos técnicas de modelado estadístico: árbol de decisión y regresión lineal múltiple, para definir qué variables independientes están asociadas al rendimiento académico. Resultados. Se ubica que las variables de aprendizaje en el aula y las tutorías externas están relacionadas con la variable de rendimiento académico y que el 48.1 % de los alumnos necesitan algún apoyo académico o capacitación externa para el reforzamiento de la programación. Conclusiones. Se recomienda implementar estrategias de mejora para reducir la sobrecarga de trabajo de los alumnos. También realizar una sensibilización antes de aplicar la encuesta y que los cuestionarios sean aplicados en fechas de exámenes ya que los alumnos se encuentran en niveles altos de estrés. En trabajos posteriores se tiene contemplado poder evaluar los efectos sobre el rendimiento académico, económico, social y cultural.

Abstract Introduction. This article presents the results of the Decision Trees research as a methodology to determine academic performance in higher education. Objective. Explain the academic performance of students taking subjects related to programming at a higher-level institution located in the urban area of Pánuco, Veracruz, Mexico. Academic performance presents a situation that not only concerns educational institutions, but also students, parents, teachers, and principals. It can be mentioned that this also presents a world situation and that it is investigated in different areas of knowledge. Materials and methods. A questionnaire was applied to 341 students distributed in the second, fourth and sixth semester. Two statistical modeling techniques were used: decision tree and multiple linear regression, to define which independent variables are associated with academic performance. Results. It is located that the learning variables in the classroom and the external tutorials are related to the academic performance variable and that 48.1 % of the students need some academic support or external training to reinforce the programming. Conclusions. It is recommended to implement improvement strategies to reduce the work overload of the students. Also make an awareness before applying the survey and that the questionnaires are applied on test dates since the students are at high levels of stress. Future research could evaluate the effect on academic, economic and cultural performance.

Resumo Introdução. Este artigo apresenta os resultados da pesquisa Árvores de Decisão como uma metodologia para determinar o desempenho acadêmico no ensino superior. Objetivo. Explique o desempenho acadêmico dos estudantes que cursam matérias relacionadas à programação em uma instituição de nível superior localizada na área urbana de Pánuco, Veracruz, México. O desempenho acadêmico apresenta uma situação que diz respeito não apenas às instituições de ensino, mas também a estudantes, pais, professores e diretores. Pode-se mencionar que isso também apresenta uma situação mundial e é investigada em diferentes áreas do conhecimento. Materiais e métodos. Foi aplicado um questionário a 341 alunos distribuídos no segundo, quarto e sexto semestre. Foram utilizadas duas técnicas de modelagem estatística: árvore de decisão e regressão linear múltipla, para definir quais variáveis independentes estão associadas ao desempenho acadêmico. Resultados. Fica localizado que as variáveis de aprendizagem em sala de aula e os tutoriais externos estão relacionados à variável desempenho acadêmico e que 48,1 % dos alunos precisam de algum apoio acadêmico ou treinamento externo para reforçar a programação. Conclusões. Recomenda-se implementar estratégias de melhoria para reduzir a sobrecarga de trabalho dos alunos. Lembre-se também antes de aplicar a pesquisa e que os questionários sejam aplicados nas datas dos testes, uma vez que os alunos estão em altos níveis de estresse.

Incremental Validity between the Wartegg and Rorschach tests (R-PAS) / Validade Incremental entre o Teste de Wartegg e o Rorschach (R-PAS) / Validad Incremental entre la Prueba de Wartegg y Rorschach (R-PAS)

Abstract Incremental validity indicates how much a measure can add prevision to a criterion, more than what can be previewed by other sources of data. In other words, it means how an instrument can complement and aid on information comprehension derived from another. The objective of the study was to verify evidence of incremental validity between the Wartegg and the Rorschach tests (R-PAS). A total of 40 subjects with ages varying between 21 to 70 years participated, divided into two groups, one composed by schizophrenia diagnosis and another, by subjects with a history of psychiatric diseases. Everybody responded to the Rorschach and Wartegg tests. The results indicated predictive capacity among the instruments of 75% for the variable Formal Quality, 98% for Movement and 100% for Content. New studies are suggested about validity evidences with larger samples as well as the analysis of other variables, not explored in this study.

Resumo Validade incremental diz respeito ao quanto uma medida pode adicionar à previsão de um critério, acima do que pode ser previsto por outras fontes de dados, ou seja, de que forma um instrumento pode complementar e auxiliar na compreensão de informações obtidas por outro. O objetivo do estudo foi verificar evidências de validade incremental entre o Teste de Wartegg e o Rorschach (R-PAS). Participaram 40 sujeitos, com idades entre 21 a 70 anos, divididos em dois grupos, um composto por pacientes com diagnóstico de esquizofrenia e outro por sujeitos sem histórico de doença psiquiátrica. Todos responderam o Rorschach e o Teste de Wartegg. Os resultados indicaram capacidade preditiva entre os instrumentos de 75% para a variável Qualidade Formal, 98% para Movimento e 100% para Conteúdo. Sugere-se novos estudos acerca das evidências de validade, com amostras maiores e também análise de outras variáveis não exploradas no presente estudo.

Resumen Validad incremental dice respecto a lo cuanto una medida puede añadir a la previsión de un criterio, más de lo que puede ser previsto por otras fuentes de datos, o sea, de cual manera un instrumento puede complementar y auxiliar en la comprensión de informaciones obtenidas por otro. El objetivo del estudio fue verificar la evidencia de validez incremental entre la Prueba de Wartegg y lo Rorschach (R-PAS). Participado 40 sujetos con edades entre 21 y 70 años, divididos en dos grupos, un compuesto por pacientes con diagnóstico de esquizofrenia y otro, por sujetos sin histórico de enfermedad psiquiátrica. Todos respondieron a lo Roraschach y a la Prueba de Wartegg. Los resultados indicaron capacidad predictiva entre los instrumentos de 75% para la variable Calidad formal, 98% para Movimiento y 100% para Contenido. Se sugieren nuevos estudios acerca de las evidencias de validad, con amuestras mayores y también análisis de otras variables no exploradas en el presente estudio.

Indicadores demográficos en la incidencia de la covid-19 en Santiago de Cuba / Indicadores demográficos na incidência da Covid-19 em Santiago de Cuba / Demographic indicators in the incidence of Covid-19 in Santiago de Cuba

Los indicadores demográficos han sido empleados por algunos investigadores para estimar el número de personas infectadas por la covid-19. El presente trabajo tiene como primer objetivo determinar en qué medida la incidencia de casos con covid-19 en los municipios de la provincia de Santiago de Cuba puede ser explicada a partir de determinados indicadores demográficos. El segundo objetivo es construir una jerarquía de grupos de municipios de acuerdo al comportamiento diferenciado de los indicadores demográficos seleccionados. Se desarrolló un estudio ecológico, exploratorio, de grupos múltiples, comparando los nueve municipios de la provincia Santiago de Cuba según variables del nivel global, supuestamente relacionadas con la cantidad de casos con covid-19 confirmados desde el 15 de octubre de 2020 hasta el 16 de enero de 2021. Se aplicó el análisis de regresión lineal múltiple para seleccionar el modelo que describiera mejor el comportamiento de los datos y el análisis de clúster para visualizar la agrupación de los municipios. Se evidenció una correlación significativa entre la cantidad de casos con covid-19, la densidad de población y el grado de urbanización. En cambio, en el modelo de regresión solo resultó significativa la densidad poblacional cuando se consideraron los nueve municipios y el índice de masculinidad, cuando se excluyó el municipio atípico, Santiago de Cuba. El índice de masculinidad resultó ser una variable espuria condicionada por la densidad poblacional como variable confusora. El análisis de clúster reveló la formación de tres grupos de municipios, quedando Santiago de Cuba aislado del resto de los municipios.

Some researchers have used demographic indicators to estimate the number of people infected by COVID-19. The first goal of this study is to determine to what extent the incidence of cases of COVID-19 in the municipalities of the province of Santiago de Cuba can be explained by certain demographic indicators. The second goal is to construct a hierarchy of groups of municipalities according to the differentiated behavior of the selected demographic indicators. An ecological, exploratory, multi-group study was developed, comparing the nine municipalities of Santiago de Cuba province according to global level variables, supposedly related to the number of cases with COVID-19 confirmed from October 15, 2020 to January 16, 2021. Multiple linear regression analysis was applied to select the model that best described the behavior of the data and cluster analysis to visualize the grouping of the municipalities. A significant correlation was found between the number of cases with COVID-19, population density and urbanization level. On the other hand, in the regression model, only population density was significant when the nine municipalities were considered and the masculinity index, when the atypical municipality, Santiago de Cuba, was excluded. The masculinity index turned out to be a spurious variable conditioned by population density as a confounding variable. The cluster analysis revealed the formation of three groups of municipalities, with Santiago de Cuba being isolated from the rest of the municipalities.

Indicadores demográficos têm sido usados por alguns pesquisadores para estimar o número de pessoas infectadas pela Covid-19. O primeiro objetivo deste estudo é determinar até que ponto a incidência de casos de Covid-19 nos municípios da província de Santiago de Cuba pode ser explicada por certos indicadores demográficos. O segundo objetivo é construir uma hierarquia de grupos de municípios de acordo com o comportamento diferenciado dos indicadores demográficos selecionados. Foi desenvolvido um estudo ecológico, exploratório e multigrupo, comparando os nove municípios da província de Santiago de Cuba de acordo com variáveis de nível global, supostamente relacionadas ao número de casos de Covid-19 confirmados entre 15 de outubro de 2020 e 16 de janeiro de 2021. A análise de regressão linear múltipla foi aplicada para selecionar o modelo que melhor descrevia o comportamento dos dados e a análise de agrupamento para visualizar o agrupamento dos municípios. Foi encontrada uma correlação significativa entre o número de casos de Covid-19, a densidade populacional e o nível de urbanização. Por outro lado, no modelo de regressão, apenas a densidade populacional era significativa quando os nove municípios foram considerados e o índice de masculinidade, quando o município atípico, Santiago de Cuba, foi excluído. O índice de masculinidade revelou-se uma variável espúria condicionada pela densidade populacional como uma variável confusa. A análise de agrupamento revelou a formação de três grupos de municípios, com Santiago de Cuba sendo isolado do resto dos municípios.

Correlation between fragment size of ulnar coronoid process fracture and patient prognosis / 中华创伤骨科杂志

Objective:To investigate the relationship between fragment size of ulnar coronoid process fracture and patient prognosis.Methods:A retrospective study was conducted of the 34 patients who had been treated at Department of Orthopaedics, The Second Hospital Affiliated to Lanzhou University for fracture of ulnar coronoid process combined with elbow dislocation from July 2016 to December 2020. They were assigned into 2 groups according to their different treatments. In the surgery (internal fixation) group of 23 cases, there were 15 males and 8 females, aged from 22 to 71 years; in the conservative treatment group of 11 cases, there were 8 males and 3 females, aged from 38 to 78 years. Preoperatively, the sizes of coronoid process and fracture fragments were measured by elbow CT scan and 3D reconstruction, and a size-weighted ratio Z (%) corresponding to the fragment of coronoid process fracture was calculated. At the last follow-up, American Hospital for Special Surgery total elbow scoring system (HSS2) score was used to assess their therapeutic efficacy, the correlation between the ratio Z and HSS2 score for elbow function was calculated, and complications were recorded.Results:There were no significant differences between the surgery and conservative treatment groups in gender or age ( P>0.05). All the 34 patients were followed up for 18 to 54 months (average, 36.7 months). At the last follow-up, the HSS2 score was 93.77±0.84 (from 82 to 98) for the surgery group and 86.00±1.42 (from 78 to 90) for the conservative treatment group; the complications rate was 13.04% (3/23) for the former and 63.64% (7/11) for the latter. There was a linear relationship between the size-weighted ratio Z of the coronoid fracture fragment and the HSS2 elbow function score in the surgery group ( P<0.01). The linear regression equation between them was: y=99.44-0.121x ( r2=0.86, P<0.01). There was a linear relationship between the size-weighted ratio Z of the coronoid fracture fragment and the HSS2 elbow function score in the conservative treatment group ( P<0.01). The linear regression equation between them was: y=89.46-0.144x ( r2=-0.91, P<0.01). When a HSS2 elbow joint function score 90 was substituted into both linear regression equations, the results were x=78.02 for the surgery group and x=3.75 for the conservative treatment group. Conclusions:Conservative treatment may not lead to a satisfactory prognosis for the patients with coronoid process fracture whose size-weighted ratio of fracture fragment is larger than 3.75. Open reduction and internal fixation usually leads to a satisfactory prognosis for those whose size-weighted ratio of fracture fragment is smaller than 78.02.

Entrada de viajeros y densidad poblacional en la propagación de la COVID-19 en Cuba / Arrival of travelers and population density in the spread of COVID-19 in Cuba

Introducción: El comportamiento no homogéneo de la cantidad de casos confirmados con COVID-19 en diferentes regiones de Cuba aún no se ha esclarecido, lo cual resultaría de utilidad para la toma de decisiones en futuras epidemias en el país. Objetivo: Determinar la influencia de la entrada de viajeros y la densidad poblacional sobre la distribución no homogénea de la cantidad de casos con COVID-19 por provincias en Cuba. Métodos: Se desarrolló un estudio ecológico, exploratorio, de grupos múltiples, comparando las provincias cubanas según variables del nivel global y agregado, relacionadas con la cantidad de casos con COVID-19, confirmados durante la epidemia en Cuba. Se aplicó el análisis de regresión lineal múltiple para seleccionar el modelo que mejor describe el comportamiento de los datos y el análisis de clúster para visualizar la agrupación de las provincias. Resultados: Se evidenció una correlación significativa entre la cantidad de casos con COVID-19 y la cantidad de viajeros con COVID-19, la cantidad total de viajeros que arribaron al país en marzo y los eventos de trasmisión. En el modelo de regresión resultaron significativas la densidad poblacional y las cantidades de viajeros total y con COVID-19. El análisis de clúster reveló la formación de cuatro grupos de provincias. Conclusiones: La cantidad de casos con COVID-19 por provincia se relaciona con la cantidad de viajeros que entraron al país, con y sin COVID-19, y la densidad poblacional. Se forman cuatro grupos de provincias por su similitud en los aspectos identificados en la regresión(AU)

Introduction: The non-homogeneous behavior of the number of COVID-19 confirmed cases in different regions of Cuba has not yet been clarified, which would be useful for decision-making in future epidemics in the country. Objective: To determine the influence of the arrival of travelers and the population density on the non-homogeneous distribution of the number of COVID-19 cases by provinces in Cuba. Methods: An ecological, exploratory, multiple group study was carried out, comparing Cuban provinces according to variables of the global and aggregate levels, related to the number of COVID-19 cases, confirmed during the epidemic in Cuba. Multiple linear regression analysis was applied to select the model that best describes the behavior of the data and cluster analysis to visualize the grouping of the provinces. Results: A significant correlation was proved between the number of COVID-19 cases and the number of travelers with COVID-19, the total number of travelers who arrived in Cuba in March, and transmission events. In the regression model, the population density and the total number of travelers and those with COVID-19 were significant. The cluster analysis revealed the formation of four groups of provinces. Conclusions: The number of cases with COVID-19 by province is related to the number of travelers who arrived in the country, with and with no COVID-19, and the population density. Four groups of provinces are formed by their similarity in the aspects identified at regression(AU)

Multivariate analysis of correlates of children nutritional status in Harar region, Ethiopia

Background:Malnutrition is defined as deficiencies, excesses or imbalances in a person’s intake of energy and/or nutrients. In Ethiopia malnutrition is one of the most serious health and welfare problems among infants and young children. Malnutrition among children under five years of age is a chronic problem in most regions of Ethiopia, including the Harari region. The main objective of this study was to assess risk factors attributed to nutritional status of children in Harari region.Methods:Data was obtained from Ethiopian Demographic Health Survey, 2016. Different factors were considered as determinants of nutritional status of a child. The study used Multivariate Multiple Linear Regression model to identify significant correlates of children nutritional status.Results:The descriptive statistics in the study revealed that out of a total of 233 children included in the study 21% are underweighted, 19.3% are stunted and 11.2% are wasted in the study area. From Multivariate multiple linear regression, breast feeding factors, health status of child and child vaccination status significantly affect nutritional status of the under five children.Conclusions:The factor analyses conducted in this study indicated that only two factors (instead of 5 original observed variables or items) were sufficient to explain 78.605% of the total variation in PCFA of observed items related to child nutritional status. Factors duration of breast feeding, birth order of a child, current age of child is statistically significant in affecting child malnutrition