This study aimed to analyze within-week and within-match external load variations in male soccer players over three consecutive matches during a congested week. Methods:The study cohort included nineteen elite professional male players (age: 26.5 ± 4.3 years) from a European First League team. Players were monitored daily over a full season using measurements collected by global positioning systems (GPSs). GPS-derived measures of total distance (TD), high-speed running (HSR), high metabolic load (HML), and maximal speed (maxSpeed) were collected during each match.Results: TD and HML intensity were meaningfully lower during the second half of the season than the first half for all weeks (p < 0.05), regardless of the number of matches. Also, the standardized differences for both metrics presented moderate-to-strong effect sizes. Although no significant differences between halves were found for HSR or maxSpeed (p > 0.05), these measures presented inconsistently minimum-to-strong effect sizes in some matches in overall weeks. Conclusion:The findings of this study revealed that TD and HML distances were significantly different between halves for all weeks, regardless of the number of matches. Meanwhile, HSR and maxSpeed measures presented no significant differences across matches overall.

Objectives: The main aim of this study was to test the relationship of volume and weekly training intensities with match-running demands of professional male soccer players. Methods: The training volume and intensity load and match demands of 18 professional soccer players (age: 20.7 ± 1.8 years) were monitored daily for 15 weeks. Results: Match high-speed running (mHSR) and match accelerations (mACC) were found to be moderately positively correlated with weekly HSR (wtHSR) and weekly ACC volume (wtACC) (r = 0.497; p < 0.01; r = 0.367; p < 0.01), respectively. Moderate positive correlations were also found between mHSR, mACC and mHSR and mean training intensity of ACC (mtACC) (r = 0.366; p < 0.01). Conclusions: Weekly HSR and ACC training volume and intensity have moderate associations with match HSR and ACC loads. Coaches should prioritize weekly HSR and ACC during the training process, for ensuring that players perform more HSR and ACC actions during the subsequent match.

Absenteeism is the practice or custom of an employee to be absent from workplace. Its causes are diverse and may aect the workers income as well as to cause operational disruption, stress the administration and also nancial losses for the company. Cluster analysis is a multivariate tool that can be used to determine groups in the sense that each group has its own characteristics in terms of the observed variables.In this sense, that technique can be used as a support to show which characteristics may contribute to absenteeism. We use the Ward hierarchical algorithm to build the clusters and to compare the groups the Kruskal-Wallis nonparametric test is adopted. Finally, a study on the strength of association among the variables is developed using Spearman's correlation and for the relationship among those variables related to absence and social aspects, we use the principal component analysis. Moreover, the study indicates the possibility to determine three heterogeneous groups in the company and to show characteristics in those groups which are potential factors that cause absenteeism to a greater or lower extent.

Resumo: Realizou-se um estudo sobre a incidência de dípteros muscóides no Campus da UNESP de Presidente Prudente, São Paulo, no período da manhã e da tarde, de dezembro de 2009 a março de 2010.Os insetos foram capturados com seis armadilhas confeccionadas com garrafas tipo "pet", utilizando atrativos à base de fígado bovino e carcaças de peixe. No período da manhã as armadilhas foram colocadas às 6:00 horas e retiradas às 12:00 horas e no período da tarde houve troca das armadilhas e iscas às 12:00 horas, com retirada às 18:00 horas. Foi capturado um total de 235 moscas, sendo 35,31% (83) no período da manhã e 64,69% (152) no da tarde. Desse total, 85,53% (201) pertenciam à família Calliphoridae, 9,36% (22) à Sarcophagidae, 2,98% (7) à Muscidae e 2,13% (5) à Fanniidae. Os testes estatísticos não indicaram diferença significativa entre o número de moscas coletadas nos dois períodos estudados das famílias Calliphoridae e Sarcophagidae, considerando um nível de significância de 5%. Possivelmente tal fato deve-se ao número reduzido de observações (n = 7) e a alta variabilidade dos dados, que podem ter acobertado um possível efeito. Os muscídeos e os fanideos foram pouco abundantes, apresentando frequência nula em muitas capturas, somaram juntos 12 espécimes coletados, de forma que não foi possível realizar a análise estatística com essas espécies. Os resultados deste trabalho levantam interessantes questões sobre a necessidade de se dar continuidade a estes estudos, tendo em vista a complexidade de se compreender o comportamento da flutuação das moscas em áreas urbanas.

This work presents a cluster analysis approach aiming to determine distinct groups based on clinicopathological data from patients with breast cancer (BC). For this purpose, the clinical variables were considered: age at diagnosis, weight, height, lymph nodal invasion (LN), tumor-node-metastasis (TNM) staging and body mass index (BMI). Ward's hierarchical clustering algorithm was used to form specific groups. Based on this, BC patients were separated into four groups. The Kruskal-Wallis test was performed to assess the differences among the clusters. The intensity of the influence of variables on the prognosis of BC was also evaluated by calculating the Spearman's correlation. Positive correlations were obtained between weight and BMI, TNM and LN invasion in all analyzes. Negative correlations between BMI and height were obtained in some of the analyzes. Finally, a new correlation was obtained, based on this approach, between weight and TNM, demonstrating that the trophic-adipose status of BC patients can be directly related to disease staging.