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Copyright of GeSec: Revista de Gestao e Secretariado is the property of Sindicato das Secretarias e Secretarios do Estado de Sao Paulo (SINSESP) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Electrónica de Enseñanza de las Ciencias is the property of Revista Electronica de Ensenanza de las Ciencias and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This work performs a comparative analysis of the economic and technological dynamism of industrial sectors in Brazil during the period 2007-2020. It aims to identify correspondences between these result variables and the practice of industrial policy in industrial sectors. The results suggest feeble coordination among the use of instruments, that most of the sectors did not differ from the general patterns of the manufacturing industry, that exceptional performances are not related to the diversity of instruments, but that the sectors of greater technological intensity seem to have responded particularly well to the combination of BNDES and FINEP funding and use of public purchasing power. [ABSTRACT FROM AUTHOR]

Copyright of Sigmae is the property of Universidade Federal de Alfenas (UNIFAL-MG) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The objective of this study is to analyze the transformations that occurred in the distribution of income and degree of social inequality measured by the Gini Index of the municipalities of the Midwest Region of Brazil in the period between 2000 and 2010 with data from the censuses carried out in the respective years. The methodology is based on the Exploratory Analysis of Spatial Data (AEDE) and the results make it possible to assess the evolution of income inequality in the region within the period of analysis and to identify patterns of clusters of municipalities (spatial clusters). The results show that the spatial clusters formed in the period of analysis do not differ significantly and show the persistence of income inequality between the localities, especially in the Upper-High groupings in the state of Goiás and in the Federal District, which indicate municipalities with high inequality neighboring others with the same characteristic. The increase in per capita income in the Midwest Region has not significantly changed the structure of income distribution in the municipalities, which implies the demand for public policies so that economic growth is accompanied by a process of income deconcentration.

Abstract Conulariids are extinct scyphozoans, have benthic and sessile life modes, and inhabited shallow marine platforms. Taphonomic studies of these animals from the Parnaíba Basin are scarce, distinctly from the Paraná Basin. The present work seeks to analyze the taphonomic characteristics of Conularia quichua from the Pimenteira Formation, Parnaíba Basin, and infer deposition events that influenced this fossiliferous concentration. The material is housed at Laboratório de Paleontologia de Macroinvertebrados (LAPALMA) and consists of 43 specimens. The taphonomic signatures used in the analyses were orientation in relation to the bedding plane, concentration, degree of preservation, and theca filling. The cluster and correspondence analyses evidenced two taphonomic classes for single-unit, fragile skeletons of conulariids from Pimenteira Formation: the taphonomic class 1 comprehends obliquely, filled, and complete skeletons; the taphonomic class 2 comprehends concordantly, fragmented, flattened, grouped, and isolated skeletons. A high-stand system tract, after the maximum transgressive surface of the Pimenteira Formation, is interpreted to be the depositional environment of this concentration, where an episodic high-energy event was responsible for the fossiliferous lens. In addition, the lack of preserved calcium carbonate shells suggests acidic conditions, assuming that diagenetic control occurred in this accumulation.

ABSTRACT The objective was to explore publications on the effects of genotype × environment interaction (GEI) in livestock farming. The dataset used for this analysis came from the Web of Science (WOS) database, and the search was carried out from the first article identified in the WOS database until the search date (August 17, 2023). A set of minimum parameters was defined, and then the data was processed using the VOSviewer® software. To generate visual representations in VOSviewer, fractional counting was used, in which the contribution of each article is divided proportionally based on the number of co-authors. Consequently, if an article has three authors, the weight of each author is calculated as 1/3. Brazil and the United States lead research on GEI, while India, China, and Uruguay are emerging countries on the subject. The most cited journals on GEI include the Journal of Animal Science, Journal of Dairy Science, Animal, Livestock Science, Journal of Animal Breeding and Genetics, and Revista Brasileira de Zootecnia. In Brazil, the research groups are at the forefront of publications related to GEI. Ongoing climate changes over the years have likely led to further investigations into this matter. In the Brazilian context, research groups from the São Paulo State University (UNESP), College of Agricultural and Veterinary Sciences - Jaboticabal, and the Faculty of Veterinary Medicine and Animal Science at the University of São Paulo (FZEA/USP, Campus Pirassununga) have played a prominent role in advancing this area of study. Furthermore, our bibliometric analysis revealed future trends in GEI publications, including an increasing integration of genomic information into research.

ABSTRACT Objective: Gastric adenocarcinoma remains an aggressive disease with a poor prognosis, as evidenced by a 5-year survival rate of approximately 31%. The histological classifications already proposed do not accurately reflect the high biological heterogeneity of this neoplasm, particularly in diverse populations, and new classification systems using genetic markers have recently been proposed. Following these newly proposed models, we aimed to assess the cluster distribution in a Brazilian cohort. Furthermore, we evaluated whether the inclusion of other clinical and histological parameters could enhance the predictive value. Methods: We used a previously described four-immunohistochemistry/EBER-ISH marker to classify a cohort of 30 Brazilian patients with gastric adenocarcinoma into five different clusters and compared the distribution with other genetically diverse populations. Furthermore, we used artificial intelligence methods to evaluate whether other clinical and pathological parameters could improve the results of the methodology. Results: Disclosing the genetic variability between populations, we observed a more balanced distribution of the aberrant/normal p53 ratio (0.6) between patients negative for the other markers tested, unlike previous studies with Asian and North American populations. In addition, decision tree analysis reinforced the efficiency of these new classifications, as the stratification accuracy was not altered with or without additional data. Conclusion: Our study underscores the importance of local research in characterizing diverse populations and highlights the complementary role of molecular biomarkers in personalized medicine for gastric adenocarcinoma, enhancing diagnostic accuracy and potentially improving survival rates.

The study aims to explain the omnichannel characteristics and behaviors of micro, small and medium-sized enterprises (MSMEs) in the food sector in Antioquia, Colombia. It evaluates the conditions necessary to achieve an omnichannel classification based on three dimensions: marketing models, multichannel options, and supply chain with digital technologies. An explanatory methodology using empirical data from surveys of 140 MSMEs was applied, and cluster analysis was used to group the companies. The results show relatively low overall omnichannel behavior, with medium enterprises outperforming small and micro enterprises. Enhanced digital technologies and integrated platforms can significantly improve omnichannel conditions, leading to better profitability and customer retention. The findings emphasize the importance of digital integration and the need for further research into the technological and methodological aspects of omnichannel implementation.

ABSTRACT: Owing to rich in vitamins, proteins, mineral elements, and active substances, the highly medicinal and economic value of mung bean seeds have been proven to be beneficial to human. In order to fully identificate and innovative utilization of excellent germplasm resources for mung bean yield and quality breeding, the genetic diversity level of eight seed phenotypic traits of 302 mung bean germplasm resources were comprehensively evaluated by diversity analysis, correlation analysis, principal component analysis (PCA), and cluster analysis. The results showed the genetic diversity of eight seed phenotypic traits of 302 mung bean germplasm resources with a Shannon diversity Index ranging from 0.25 to 2.09. For most traits, their coefficient of variation (CV) were more than 10% with the highest being seed shape (41.51%). Correlation analysis showed that the 100-seed weight had extremely positive correlations with seed size, seed length, seed width, and seed thickness. PCA of seed phenotypic traits showed that the cumulative contribution rate of the first three principal components was 78.551%. These principal components included seed width, seed coat gloss and seed color. The 302 mung bean germplasm resources were divided into eight groups by cluster analysis. A total of 140 germplasm resources with large-seed were selected from group I and group II, of which 9 germplasm resources in group II were likely to be high-yield varieties. Overall, this study not only indicated sufficient variation among the studied germplasm resources, but also provided a theoretical basis for the selection, utilization and hybrid breeding of mung bean germplasm resources.

Copyright of Journal of Integrated Coastal Zone Management / Revista de Gestão Costeira Integrada is the property of Associacao Portuguesa dos Recursos Hidricos and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Evidenciação Contábil & Finanças is the property of Revista Evidenciacao Contabil & Financas and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

ABSTRACT The aim of this study was to evaluate agronomic performance in cultivars of the Cavendish banana under the soil and climate conditions of the microregion of Assis in the state of São Paulo over three production cycles. The experiment was set up at the Fazenda São José Farm, Água do Pau d´Alho, in Palmital, São Paulo. The Grande Naine, IAC2001 and FHIA02 cultivars were evaluated, considering the following variables: cultivar; plant height; pseudostem perimeter; number of leaves at flowering and harvest; number of days from planting to flowering, from planting to harvest, and from flowering to harvest; weight of the bunch, stalk and fruit per bunch; number of hands per bunch; productivity of the fruit and pulp; weight and number of fingers on the second hand; weight, length and diameter of the finger; pulp diameter; and weight and thickness of the peel. The data were subjected to multivariate statistical techniques (principal component factor analysis, tree clustering, two-way joining, and correspondence). The results showed the extraction of three principal factors that accounted for 89.63% of the total variance of the characteristics under analysis: banana production (Factor 1), vegetative development (Factor 2), and cultivars and fruit diameter (Factor 3). The productive performance of the FHIA02 cultivar was homogeneous and inferior to that of the other cultivars, as seen in the two-way joining cluster analysis. Only the Grande Naine and IAC2001 cultivars are recommended for cultivation in the micro-region of Assis, São Paulo, with Grande Naine showing the largest fruit and, especially, the largest pulp diameter.

Copyright of Revista de Ciências Agrárias is the property of Sociedade de Ciencias Agrarias de Portugal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Introduction: The COVID-19 pandemic is an illustration of how a physical illness can damage people’s minds. In this regard, the goal of this study was to see how different sociodemographic and behavioral factors were linked to anxiety and depression symptoms in a group of individuals living in Portugal. Methods: Between November 2020 and February 2021, a cross-sectional, snowball online study was conducted. The study’s target population was adults over the age of 18, residents of the country. For the statistical analysis, the clustering technique – K-means algorithm was applied. The chi-squared test was used to determine the relationships between clusters and sociodemographic and behavioral characteristics. Statistical analyses were conducted in R language, with a significance level of 0.05. A total of 453 participants were included. Results: The majority were female (69.8%), under the age of 40 (60.8%), with a higher education degree (75.3%), and not married (54.4%). Furthermore, the majority were from the country’s north region (66%). Cluster 1 (n = 194) was characterized by low or nonexistent levels of anxiety and depression symptoms, which means normal; cluster 2 by severe symptoms (n = 82), meaning case; and cluster 3 by mild symptoms (n = 177), which means borderline. Younger participants (p-value 0.024), female (p-value 0.041), with drinking habits (p-value 0.002), food insecurity (p-value < 0.001), food affordability exacerbation (p-value < 0.001), comorbidity (p-value < 0.001), use of anxiolytics (p-value < 0.001), insufficient household income (p-value 0.017) and income change (p-value < 0.001) were significantly associated with the anxiety-depression clusters. From the three clusters, cluster 2 was mainly represented by younger participants, with more persons stating that their household income was insufficient and that their income has changed as a result of COVID-19 and that they had the highest probability of food insecurity. Conclusion: The impacts of a crisis on mental health extend longer than the event itself. We were able to observe that younger women with insufficient household income who suffered a change in income due to COVID-19 and were classified as food insecure presented higher levels of anxiety and depression symptoms. These results highlight the presence of a social gradient where we saw that people who were less advantaged in terms of socioeconomic position presented worse mental health outcomes, stressing, in this sense, the need to bring the best public health responses for these specific groups of the population.

Abstract Background Health has dynamic conditions and overlapping pathophysiological factors. For health prevention and promotion, actions are necessary to understand the most common risk combinations. Objective Describe noncommunicable chronic diseases (NCDs) clusters and investigate specific multimorbidity combinations in Brazilian adults and older adults. Method This study used data from Vigitel 2013 survey held in the Brazilian capitals (52,929 interviews). A self-report of diabetes, dyslipidemia, hypertension, and obesity was used. The analyses were the descriptive cluster of NCDs and an adjusted binary logistic regression (odds ratio [OR]), stratified by age. Results Among adults, the clusters of diabetes, dyslipidemia, hypertension, and obesity (O/E = 18.74) and diabetes, hypertension, and obesity (O/E = 16.83) were higher. There was a higher clustering between diabetes and obesity (O/E = 7.25). Among adults, diabetes was associated with dyslipidemia (OR: 3.04), hypertension (OR: 3.84), and hypertension with obesity (OR: 3.34). In older adults, hypertension was associated with diabetes (OR: 2.79), dyslipidemia (OR: 2.06), and obesity (OR: 2.26). Conclusion Other diseases combined with diabetes and hypertension were more frequent in adults and older adults. It is suggested to combine preventive and control measures for these diseases for the non-occurrence of new diagnoses.

This study identified spatial clusters of type 2 diabetes mellitus among participants of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) residing in two cities and verified individual and neighborhood socioeconomic environmental characteristics associated with the spatial clusters. A cross-sectional study was conducted with 4,335 participants. Type 2 diabetes mellitus was defined as fasting blood glucose ≥ 126mg/dL (7.0mmol/L), oral glucose tolerance test ≥ 200mg/dL (11.1mmol/L), or glycated hemoglobin ≥ 6.5% (48mmol/L); by antidiabetic drug use; or by the self-reported medical diagnosis of type 2 diabetes mellitus. Neighborhood socioeconomic characteristics were obtained from the 2011 Brazilian census. A spatial data analysis was conducted with the SaTScan method to detect spatial clusters. Logistic regression models were fitted to estimate the magnitude of associations. In total, 336 and 343 participants had type 2 diabetes mellitus in Belo Horizonte, Minas Gerais State (13.5%) and Salvador, Bahia State (18.5%), respectively. Two cluster areas showing a high chance of type 2 diabetes mellitus were identified in Belo Horizonte and Salvador. In both cities, participants living in the high type 2 diabetes mellitus cluster area were more likely to be mixed-race or black and have a low schooling level and manual work; these were also considered low-income areas. On the other hand, participants in the low type 2 diabetes mellitus cluster area of Salvador were less likely to be black and have low schooling level (university degree) and live in a low-income area. More vulnerable individual and neighborhood socioeconomic characteristics were associated with living in clusters of higher type 2 diabetes mellitus occurrence , whereas better contextual profiles were associated with clusters of lower prevalence.

Abstract Morphological and phenological variability of Guaraní maize germplasm from Northeastern Argentina (NEA) are potential sources of genetic resources, constituting valuable repositories of alleles associated with tolerance and resistance to biotic and abiotic stresses. Here, we studied the morphological and phenological variability in maize populations of 14 Guaraní landraces from NEA and analysed the relationship among them. These landraces were characterised according to the endosperm consistency of grain as Popcorn (Pc), Floury (F) and Floury with corneal periphery (F-Pc). There were inter-population differences in phenological characters as time from germination to tassel emergence, from germination to spike emergence and from germination to anthesis (length of vegetative cycle -LVC). The morphological and phenological data here reported were used to carry out a cluster analysis, in which the F and Pc populations appeared as two separate groups and the F-Pc populations were included in the F group. Thus, the well-defined F (including F-Pc) and Pc genetic pools should be prioritised within the framework of breeding plans as well as ex situ and in situ conservation programs. For these purposes it is essential the morphological, phenological and genetic characterisation the maize Guaraní landraces.

Abstract The soymilk is a ready-to-eat, nutritious and naturally cholesterol-free product. Several soybean specialty cultivars were developed in Brazil in order to increase the human consumption of soybean products. The aim of this work was to evaluate the nutritional composition and consumer acceptance of soymilk from three soybean cultivars with special features such as high-protein and isoflavone contents, mild flavor and lipoxygenase-free compared to three conventional ones. The soymilk was obtained after blanching with a bicarbonate solution, grinding, centrifugation and pasteurization. The physicochemical and nutritional evaluation data were analyzed using Analysis of Variance (ANOVA) and Tukey’s test to check differences among means, and the consumer data through cluster analysis and internal preference mapping. The lipoxygenases were inactivated after thermal processing. There were significant differences among soybean cultivars and soymilks related to the protein, isoflavones, oil, and sugar contents and soymilk yield (p < 0.05). The BRS 133 and BRS 284 cultivars and soymilks presented the highest total isoflavone content (p < 0.05). Regarding the overall consumer acceptance, there were significant differences among cultivars (p < 0.05) with means ranging from 5.9 to 6.7 and the lower score was obtained by BRS 267. However, the cluster analysis identified three consumer segments according to preference similarity. The cultivars BRS 284 and BRS 267 reached the highest mean among the consumers of segment 1 (6.8 and 6.7 respectively). The consumers of segment 2 preferred the cultivar without lipoxygenases, BRS 213 (mean of 7.5) while segment 3 preferred the BRS 133 (mean of 7.4). The process of blanching of soybean with bicarbonate solution, grinding with boiling water and pasteurization mitigated the differences between conventional and specialty cultivars and the six cultivars evaluated were suitable for soymilk production.

ABSTRACT Environmental influences and genetic variability can promote, within the same species, variations between plants with intrinsic traits to the seeds. This work aimed at investigating the divergence among Handroanthus serratifolius mother trees from traits related to the physiological quality of seeds. Seeds collected from 13 mother trees were submitted to tests germination, electrical conductivity (EC), cold, controlled deterioration, and accelerated aging. Five replications of 50 and 25 seeds each were used for the cold test and other tests, respectively. The average data per mother tree were submitted to cluster analysis by the methods of Ward, k-means, and Principal Component Analysis (PCA). The mother trees were grouped into 4 clusters by the Ward’s and K-means methods, and confirmed by the PCA, but with varying cluster compositions. Cluster 2 grouped the mother trees with lower seed quality as demonstrated by the lowest values for most of the evaluated traits, but the highest EC and the second-highest value for the germination uncertainty index. On the other hand, cluster 4 grouped the mother trees with better seed quality. Of the 22 evaluated traits, eight are probably suitable for discarding due to their little contribution to the original variability. The results of the different clustering methods indicate significant differences between the mother trees regarding the physiological quality of seeds, showing that these parameters may be used to guide breeding programs aiming to produce high-quality seeds and seedlings of H. serratifolius.

Purpose: To analyze whether there is consistent evidence that Brazilian audit courts are using information and communication technologies (CITs) as instruments to improve transparency, accountability and citizen participation of actions related to the control of public finances. Methodology: A quantitative research was conducted based on secondary data obtained from the electronic government pages of all 32 (thirty-two) Brazilian state and municipal courts of accounts. Cluster analysis was performed to establish the tc's ranking on 3 (three) perspectives examined in the study (accountability, transparency and citizen participation). Results: The evidence points to different levels in the dimensions accountability (38.4%), transparency (83.71%) and citizen participation (64.89%). The examination of the attribute accountability, paradoxically, proved to be worrisome due to the destonating behavior of the courts of accounts - including among Brazilian regions - given the requirement that they make this attribute with their jurisdictions, but when analyzed, do not promote it in the same intensity. Contributions of the Study: The results found in this research may support new evaluations in representative samples, incorporate studies on this theme and assist decision makers. [ABSTRACT FROM AUTHOR]

Copyright of Amazônia, Organizações e Sustentabilidade (AOS) is the property of Amazon, Organizations & Sustainability - AOS / Amazônia, Organizações e Sustentabilidade (AOS) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Brasileira de Estudos Urbanos e Regionais is the property of Associacao Nacional de Pos-Graduacao e Pesquisa em Planejamento Urbano e Regional and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of PARC Pesquisa em Arquitetura e Construção is the property of Universidade Estadual de Campinas - Portal de Periodicos Eletronicos Cientificos and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study aimed to identify the existence of therapeutic itineraries shared by users of specialized mental health services in a medium-sized municipality. This is a cross-sectional study, carried out from August to November 2019 including 341 users of specialized mental health services in the municipality of Itatiba, São Paulo State, Brazil. To identify the itineraries, based on a set of variables, the users were grouped with clustering. The best measure of silhouette of cohesion and separation (> 0.3) for the clusters was achieved based on four variables: situation in which the mental health problem was identified, place of first care, origin of referral to the current service, and bond maintenance with primary health care (PHC). The clusters identified in the study demonstrated: (1) low participation of PHC in welcoming new cases, with most of the care taking place in specialized services; (2) high proportion of cases identified in crisis situations; (3) low participation of PHC in the referral of cases, with high access to specialized services by spontaneous demand; (4) lack of continuity in PHC services after entering the specialized service. The study highlighted significant weaknesses in the studied healthcare network, evincing the need to develop strategies that foster the services integration, especially regarding PHC, both to favor access to specialized care in a timely manner and to enable the continuity of care between different healthcare facilities.

Objective: To identify social vulnerability profiles of transgender people who have experienced intimate partner violence in Brazil and to assess the association with recurrent violence and referrals to support services., Methods: This was a cross-sectional study of reported cases of violence against transgender people in Brazil (2015-2021) utilizing data from SINAN/DATASUS. Sociodemographic profiles were defined using two-step cluster analysis and associations estimated by means of binary logistic regression, with odds ratios (OR) and confidence intervals (CI)., Results: A total of 3,384 cases were reported, identifying five profiles. Recurrent violence was more frequent in the South region (71.1%), among individuals with elementary education (64.9%) and those with disabilities (74.0%) (p<0.001). Fewer referrals were observed in the North region (76.6%), among Asian and Indigenous people (74.5%) and among lesbians (81.6%) (p<0.05). No significant differences were found between the profiles (p>0.05)., Conclusion: Social disparities influence intimate partner violence, but no significant differences were observed between the identified profiles.

Objective: To identify clusters of high and low risk for the occurrence of leptospirosis in space and space-time in Acre, between 2001 and 2022, as well as to characterize temporal trends and epidemiological profiles of the disease in the state., Methods: An ecological study of cases mandatorily reported by health services in Brazil. For the analysis of clusters in space and space-time, the SaTScan software was used, which calculated the relative risks (RR). Additionally, temporal trends were obtained using Prais-Winsten linear regression and epidemiological profiles estimated by incidences by sex and age group., Results: A high-risk spatial cluster was identified in Rio Branco, Bujari, and Porto Acre (RR=2.94), occurring mainly between 2013 and 2015, according to the space-time cluster (RR=9.51). The municipality of Cruzeiro do Sul also showed a high-risk spatial cluster (RR=1.31). This municipality and contiguous municipalities showed an increasing temporal trend in cases, while the other municipalities in the state showed a stationary temporal trend. The disease mainly affected men between 20 and 59 years old, followed by young people aged 10 to 19 years. However, the RR of leptospirosis in older women was 2.1 times higher than in older men (95%CI 1.6-2.9)., Conclusion: The findings indicated that leptospirosis, although endemic in the state, had a more significant incidence in certain municipalities and years. Therefore, it is necessary to act with greater or lesser intensity in specific locations and periods, both for the prevention and control of the disease.

Background: Diabesity is a condition characterized by the coexistence of type 02 diabetes and obesity. The causes are multifactorial, resulting from a complex interaction of genetic and behavioral factors. Among the behavioral factors, there are physical inactivity, inadequate eating habits and excessive consumption of alcohol and tobacco., Objective: To investigate the clustering of physical inactivity and other risk factors and the association between risk factor combinations and the presence of diabesity in quilombola adults., Methods: Cross-sectional study involving a sample of 332 middle-aged and older adults (≥ 50 years) selected among participants in the "Epidemiological Profile of Quilombolas in Bahia" study. Data were collected by interview and anthropometric assessment. Descriptive statistics, cluster analysis, and multinomial logistic regression procedures were used for data analysis., Results: The highest prevalence of clustering was identified for the combinations of regular alcohol consumption in the absence of the other factors (O/E=14.2; 95%CI 0.87-1.15), followed by regular alcohol and tobacco consumption (O/E=10.3; 95%CI 0.64-0.95) and regular consumption of alcohol, tobacco and foods high in sugar and fat (O/E=6.8; 95%CI= 1.31-1.75). Unadjusted analysis revealed an association between physical inactivity in the absence of the other factors (OR=0.82; 95%CI 0.78-0.86) and diabesity., Conclusion: Alcohol consumption was the most prevalent factor among the largest combinations evaluated. Furthermore, the presence of physical inactivity without the other behaviors analyzed and the absence of all behaviors were associated with diabesity only in unadjusted analysis.

Copyright of Revista de Economia e Sociologia Rural is the property of Sociedade Brasileira de Economia e Sociologia Rural and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Cadernos de Saude Publica is the property of Escola Nacional de Saude Publica Sergio Arouca and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

ABSTRACT An adequate combination of factors involved in the technology used for phytosanitary product application contributes to an efficient spray deposition on the target. The objective of this study was to use multivariate analysis to characterize the magnitude of effects and the order of influence of three factors that interfere with the quality of phytosanitary product application in coffee plants. An entirely randomized design was adopted, with four repetitions, using a 2 × 2 × 3 factorial scheme, with two classes of droplets quality (fine and coarse), two application rates (250 and 400 L ha-1), and the use of adjuvants (with no adjuvant or with Fighter®and Aureo® adjuvants). The quality of the application was determined by jointly analyzing the spray deposition on three thirds of leaves, in their internal and external layers, the runoff to soil, coverage, droplet density, relative amplitude, and the volumetric median diameter. The results underwent analysis of variance (ANOVA) to measure the effect sizes (η2). After testing the assumptions of multivariate analysis, clustering and principal component analyses were performed. The class of droplets was found to be the most influential factor in the quality of the phytosanitary product application (spray deposition and runoff to soil). When focusing on spray deposition on leaves, the second-most influential factor was the application rate and the relation between the application rate and the adjuvants. For the other variables, the second-most influential factor was the application rate.

ABSTRACT Genetic divergence analysis and combined selection for various physical grain traits are unprecedented for common bean cultivars. The objectives of this study were to examine the genetic variability of common bean cultivars for 12 physical grain traits; study the correlations between these traits; analyze the genetic divergence; and select superior common bean cultivars. Two experiments were carried out in 2019 in which 22 common bean cultivars of different grain types were evaluated. Significant effects of genotype, grain type and genotype × environment interaction were obtained for all physical grain traits, indicating the existence of genetic variability. High correlations were observed between grain length and width (r = 0.844), normal grains and uptake (r = 0.796) and uptake and cooking time (r = -0.651). The L* (grain lightness) and a* (variation between green and red hue) values had a greater contribution to the differentiation between common bean cultivars. Four and three groups of cultivars were formed by the analyses of canonical variables and unweighted pair group method with arithmetic mean, respectively. Both cluster analyses are efficient in separating the cultivars into homogeneous groups based on the L* and a* values, although the canonical variables analysis provides more detailed information. The cranberry bean cultivars BRS Executivo, BRS MG Realce and Hooter and the black bean cultivars IPR Tiziu, BRS Esteio and Guapo Brilhante have superior physical grain traits and will thus be selected by the breeding program.

ABSTRACT The effects of dietary digestible protein (DP) levels (22, 26, 29, 32, and 34%) and different stressors (cold-induced stress, CIS; heat/dissolved oxygen-induced stress, HDOIS; transport-induced stress, TIS; and size-sorting-induced stress, SSIS) on hemato-biochemical parameters were evaluated. Four hundred and forty Nile tilapia fingerlings were distributed into 40-250 L aquaria and fed experimental diets for 110 days, and fed each of the five experimental diets, that were randomly distributed to eight replicates per treatment. Then, different groups of fish were subjected to one type of stress. Groups of 40 fish were used on CIS (17 °C), HDOIS (32 °C), and TIS (4 h), and a group of 140 fish on SSIS (15 min air exposure and 60 s handling). There was no effect on hemato-biochemical profile when DP levels were compared, neither before nor after stress; however, there was a significant stress effect. Digestible protein did not mitigate stress response under SSIS and CIS; lymphopenia and neutrophilia were the main cell-mediated immune response; dietary 22 and 26% DP impaired oxygenation on SSIS and TIS; fish under HDOIS and SSIS demanded more energy using triglycerides as an energy source; the diet formulated to contain 22% DP was not adequate to keep homeostasis under temperature stress. Cluster analysis showed that, for DP levels below the requirement for growth, SSIS and CIS were considered the most stressful conditions. At 34% DP level, HDOIS response was comparable to that of non-stressing conditions.

ABSTRACT The objective of this work was to describe morphology and grouping of Paspalum notatum accessions, based on multicategorical data which discards the redundant variables for quantification of genetic diversity. We also tested the hypothesis that geographical distance was correlated with morphological divergence. In our study, multivariate analyzes successfully demonstrated the geographic and morphological variability of the P. notatum accessions characterized. Many of these evaluated accessions can be included in future genetic improvement programs. Based on two methodologies for discarding variables, it was possible to identify the potentially important morphological characteristics from genetic diversity studies and characterize new accessions aimed at improving forage and seed production. The methodologies used to discard variables are biometric tools that can be used successfully in future plant breeding programs, especially when a large number of traits and accessions are being evaluated. Although significant, geographic distance had a low association with morphological traits. This indicated the need to use other characteristics, such as forage and seed yield, in addition to molecular analysis. Our analyzes showed genetic variability in P. notatum for all the characteristics studied.

Abstract This study aimed to identify the homogeneous zones, the regimes, and the local trends for annual and seasonal rainfall in the state of Pernambuco, Brazil. We collected seasonal and annual data on monthly rainfall from 45 weather stations in Pernambuco from 1987 to 2019. The data were organized yearly to identify the homogeneous rainfall zones based on Euclidean distance and Ward's coefficient. The mean annual value of each zone was calculated and the data were subjected to descriptive statistics analysis, analysis of rainfall regime with the Rain Anomaly Index, and time trend analysis using the Mann-Kendall method. The results show three homogeneous rainfall zones: 1 (semiarid), 2 (transition), and 3 (coastal), with mean values for annual rainfall of 562, 1032, and 1812 mm year-1, respectively. The precipitation regime showed the predominance of dry years as zones 1, 2, and 3 exhibited dry periods of 18, 17, and 15 years, respectively. Time trend analysis revealed a decrease in annual rainfall of 48.7 mm for Zone 1, 13.2 mm for Zone 2, and 204.4 mm for Zone 3, without statistical significance. Seasonal analysis demonstrated that Zone 1 presented a negative trend in the spring and a positive trend in Zone 2 in the summer, indicating changes in the rain seasonality.

Objective. Determine and characterize potential risk areas for the occurrence of cutaneous leishmaniasis (CL) in Latin America (LA). Method. Ecological observational study with observation units defined by municipalities with CL transmission between 2014-2018. Environmental and socioeconomic variables available for at least 85% of the municipalities were used, combined in a single database, utilizing the R software. The principal component analysis methodology was combined with a hierarchical cluster analysis to group clusters of municipalities based on their similarity. The V-test was estimated to define the positive or negative association of the variables with the clusters and separation by natural breaks was used to determine which ones contributed the most to each cluster. Information on cases was also incorporated in the analyses to attribute CL risk for each cluster. Results. This study included 4,951 municipalities with CL transmission (36.5% of the total in LA) and seven clusters were defined by their association with 18 environmental and socioeconomic variables. The historical risk of CL is positively associated with the Amazonian, Andean and Savannah clusters in a decreasingly manner; and negatively associated with the Forest evergreen, Forest/crop and Forest/populated clusters. The Agricultural cluster did not reveal any association with the CL cases. Conclusions. The study made it possible to identify and characterize the CL risk by clusters of municipalities and to recognize the epidemiological distribution pattern of transmission, which provides managers with better information for intersectoral interventions to control CL.

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Abstract The characterization of banana cultivars is an important stage, which allows the identification of materials adapted to a particular region. The aim of this study was to evaluate the agronomic performance in the edaphoclimatic conditions of the geographic microregion of Assis, State of São Paulo, during the first three production cycles. The experiment was installed at São José Farm, Palmital, SP, where ten banana cultivars (Grande Naine, IAC 2001, FHIA 02, Bucaneiro, FHIA 17, Calypso, Ambrosia, Thap Maeo, BRS Princesa and Caipira) were evaluated during the three production cycles. The experimental design was in randomized blocks, with four replicates, each plot with 8.75 m2 and 5 plants per plot. The evaluated variables were plant height, pseudostem perimeter, number of leaves at flowering and harvesting, bunch mass, number of hands per bunch, fruit and pulp yield. Results were submitted to analysis of variance, means comparison tests and multivariate clustering or tree clustering analysis. ‘Grande Naine’ and ‘IAC 2001’ cultivars, as well as those of the Cavendish subgroup, are the most suitable for cultivation in the geographic microregion of Assis, SP, considering production performance in the evaluated production cycles.

Due to a deeper understanding by consumers of the environmental challenge, during the last two decades there has been exponential growth in research on sustainable consumption (SC), especially in developed countries. Most of the studies related to this topic focused on exploring, profiling or modelling the phenomenon have primarily been performed in these regions. However, in emerging markets consumers are concerned about sustainability so research must include them in its scope. Therefore, this research focuses on the young adult population of Mexico City to explore SC behavior patterns and associated segmentation criteria. The study relies on cluster analysis using the K-means method, derived from a quantitative survey of 248 subjects aged 20 to 34 who live in Mexico City. Clusters help to identify five groups of SC patterns, based on four SC key factors: culture, public policies, socio-environmental concern, and sustainable marketing associated with five types of SC: purchase of sustainable products, preference for alternative channels, non-monetary sustainable practices, collaborative consumption and sustainable transportation. The value of this exploratory study involves the provision of new information on characteristics to establish distinct groups of consumers based on SC among young adults in Mexico City.

ABSTRACT The characterization of genetic diversity in common bean genotypes for various agronomic traits enables the selection of promising parents and the identification of genotypes with high agronomic performance. The present study proposes to evaluate the genetic diversity of common bean landraces and cultivars for 14 agronomic traits; examine the correlations between these traits; define promising crosses; and select genotypes with high agronomic performance. A total of 49 common bean genotypes were evaluated in three growing seasons, consisting of 37 landraces and 12 common bean cultivars. Significant effects of genotype × environment interaction or genotype were observed for all agronomic traits, thereby allowing the study of genetic divergence. Several plant-architecture traits were correlated with each other, whereas grain yield was highly correlated with insertion of the last pod (r = 0.74), number of pods per plant (r = 0.74) and mass of 100 grains (r =-0.64). The furthest-neighbor method separated the common bean genotypes into two groups, Mesoamerican and Andean, and mass of 100 grains showed the greatest contribution to the differentiation between the genotypes. Tocher's method was more informative and divided the common bean genotypes into 12 groups. The following crosses are recommended: Vagem Roxa × IPR Juriti, Vagem Roxa × Macanudo, Fepagro Triunfo × IPR Juriti, Fepagro Triunfo × Macanudo, Guapo Brilhante × IPR Juriti, and Guapo Brilhante × Macanudo. The common bean genotypes Fepagro Triunfo, IPR Juriti, Guapo Brilhante, BRS Campeiro and Vagem Roxa have high agronomic performance and should thus be selected by the breeding program.

Commencing with the definition of school moral atmosphere, this essay presents first results of an empirical research which aims to investigate the attitudes of aspiring, in-training, and in-service teachers. The study was conducted by means of a questionnaire entitled, Che cosa è bene, che cosa è male. La scuola e la sfida dell’educazione morale, which involved 763 participants. These included 224 aspirating teachers who participated in pre-F.I.T. training programs at the Universities of Parma and Sassari, 397 in-training teachers who underwent training in Special Needs Education at the Universities of Messina and Parma, and 142 in-service teachers from the provinces of Messina, Reggio Emilia and Parma. Data analyses were conducted through factorial and cluster analyses. Results of the cluster analyses revealed three different attitudes of teachers: first, one generally institutional, a second, more undecided in nature, and a third, which was mostly communicative in nature.

This study employed multivariate analysis techniques to identify and evaluate the chemical variables responsible for the contamination of the urban area of Boquira, Bahia, due to the abandonment of the tailings basin of Pb-Zn mining, in order to assist in the environmental management of the area. Factor analysis was performed on main and grouping components. The factor analysis allowed grouping the variables into two main factors for street sediment samples, adding up to 72% of the total accumulated variance, and three factors for house dust samples, which explained 77% of the total variance. The variables have a strong correlation with the composition of the tailings basin. Cluster analysis classified the samples according to the concentration of metals in the area, where the influence of the tailings basin and the natural background of the region's rocks in the contamination distribution can be identified.

Este trabajo tiene el propósito de establecer cuáles factores permiten explicar las diferencias departamentales en materia de protección de derechos de autor y nuevas creaciones en Colombia, en el 2017. Para esto se usaron los datos disponibles en la Dirección Nacional de Derechos de Autor y el Observatorio Colombiano de Ciencia y Tecnología. A estos se aplicó una técnica de aprendizaje no supervisado (análisis de conglomerados) y otra de estadística no paramétrica (correlación de Spearman). Entre los principales hallazgos se encuentra la identificación de 12 agrupaciones espaciales en Colombia que explican el 95,22% de la variabilidad. De igual forma, se identificó que las variables con más variabilidad dentro del territorio nacional fueron: registro de fonogramas, de obra artística, de contratos, de obra audiovisual y de obra literaria editada; graduados de maestría y doctorado; solicitud y concesión de diseños industriales; producción bibliográfica y solicitud de patentes de invención. This paper aims to establish the factors that explain the departmental differences in copyright protection and new creations in Colombia in 2017. For this purpose, we use the data available at the Dirección Nacional de Derechos de Autor and Observatorio Colombiano de Ciencia y Tecnología. We applied a technique of unsupervised learning (cluster analysis) and a non-parametric statistics (Spearman correlation). Among the main findings is the identification of 12 spatial cluster in Colombia that explain 95.22% of the variability. Likewise, it was identified that the variables with more variability within the national territory were: register of phonograms, artistic piece, contracts, audiovisual piece, and literary; master’s and doctoral graduates; industrial design applications; bibliographic production and patent applications.

ABSTRACT Regionalization is an important technique for estimating the flow of hydrographic sections with a lack of data. First, it is necessary to identify hydrologically homogeneous regions (HHRs), which are commonly validated via statistical analyses. Because this step is understood to be subjective, studies that contribute to a greater reliability in identifying regions are needed. In this context, the objective was to evaluate the inclusion of a physical analysis of the average regionalized flow rates as an aid to identify HHRs. The groupings were defined on the basis of geographical convenience methods and cluster analysis. For the assessment of regionalized flows, six statistical indices were used with a physical analysis that was performed via a comparison of the runoff coefficient to the spatial distribution of precipitation values. It was concluded that the physical analysis reduced the subjectivity in the identification of HHRs.

The objective of this study was to identify and evaluate the variables responsible for contributing to possible natural and/or human contamination in groundwater of the semiarid region of the state of Bahia, seeking to subsidize water quality monitoring and management actions in the area. To do so, multivariate analysis techniques regarding factorial analysis in principal components and cluster analysis were used. The factorial analysis allowed the grouping of variables into two principal factors that explained 93% of total accumulated variance. Variables were strongly related to concentrations of metals and salinity in the water. The cluster analysis was used to classify water sources according to the quality of waters into three clusters in each factor. The natural background of the rocks of the municipality of Boquira was shown to influence water resources. A continuous (during dry and rainy seasons) monitoring of water quality from wells and springs located upstream and downstream from contamination sources is recommended, even if these waters are not used for public supply, to determine possible contamination plumes from contaminated material.

ABSTRACT The melon (Cucumis melo L.) is one of the most important horticultural crops in the northeast of Brazil. The characterisation of germplasm is an efficient process for managing plant genetic resources, as it contributes to better conservation and improved use in breeding programs. In the present study, the genetic divergence between sub-accessions of the melon taken from traditional agriculture in the semi-arid region of Brazil was evaluated using ISSR and RAPD markers, verifying the level of agreement with the botanical classification. Twenty-six sub-accessions preserved in the Active Germplasm Bank of Cucurbitaceae for the northeast of Brazil, located at Embrapa Semiárido in Petrolina, Pernambuco, were analysed. The binary matrix of the molecular data was used to obtain the genetic dissimilarities using the complement of the Jaccard index. The genetic dissimilarities were represented in dendrograms generated using the UPGMA method. Twenty-eight ISSR primers and 26 RAPD primers were polymorphic. A total of 686 fragments were obtained, of which 451 were polymorphic. The mean polymorphism of the RAPD markers was greater than that of the ISSR markers. The number of markers was considered sufficient to accurately determine the genetic diversity. The ISSR dendrogram allowed the formation of three groups, the RAPD dendrogram, four groups, and the joint dendrogram, three groups. The study demonstrated the genetic variability between the sub-accessions, and the strong association between the characterisation made by the molecular markers and the taxonomic classification of the genotypes under study.

ABSTRACT The objective of this study was to analyze the perceptions of professionals in relation to the importance of indicators used to assess the sustainability of Brazilian dairy cattle. A survey method was used through a questionnaire. The target audience was professionals related to dairy cattle: researchers, professors, consultants, farmers, and other professionals. The total number of respondents to the survey was 347. Cluster analysis resulted in the formation of four distinct groups: G1 (“Holistic”), participants agreed that all indicators are very important or, at least, important; G2 (“Technician”) considered the indicators important and desirable, except for some environmental indicators which were assessed as non-priority and expendable; G3 (“Socio-environmentalist”) assessed the indicators as desirable, but environmental indicators received more importance; and G4 (“Skeptic”) generally believed that indicators were non-priority and expendable. The groups showed significant differences in relation to knowledge about technical, economic, social, and environmental aspects of dairy cattle. More than 60% of professionals consider milk production per area, reproductive index, production costs, profit from the activity, milk quality, quality of life of the producer and employees, succession, protection of water courses, and soil management as very important indicators of the sustainability of dairy cattle. On the other hand, important environmental indicators such as emissions of gases and substances, energy use, nutrient balance, and land use were neglected by most respondents. These results can help select and implement policies and strategies for decision making, aiming at producing milk in a more sustainable way.

This article aims to analyze spatial and temporal patterns of maternal mortality in Brazil during the period 2010-2020 and identify related socioeconomic indicators. We conducted an ecological study of the maternal mortality ratio (MMR) in Brazil's municipalities using secondary data. Temporal analysis was performed using the joinpoint method. Bayesian statistics, spatial autocorrelation, the Getis Ord Gi* technique and the scan statistic were used to identify spatial clusters, and multiple non-spatial and spatial regression models were used to assess the association between factors and the MMR. There was an increase in the MMR in 2020 and an increase in deaths in the North and Southeast. Clusters were found in Amazonas, Tocantins, Piauí, Maranhão, Bahia and Mato Grosso do Sul. The following indicators were negatively associated with the MMR: cesarean section rate, Municipal Human Development Index, and per capita household income of people who are vulnerable to poverty. The MMR was stable up to 2019, followed by a sharp rise in 2020 coinciding with the onset of the Covid-19 pandemic in the country. It is essential that efforts to reduce maternal mortality in Brazil extend beyond the promotion of improvements in antenatal, childbirth and postpartum care to address the social determinants of the problem.

ABSTRACT The objective of this study was to evaluate 94 Paspalum notatum genotypes over two growing seasons to estimate genetic dissimilarity through agronomic traits and the distance between genotypes. This information is used to create an ideotype from the best averages obtained for the set of characteristics evaluated. Seven apomitic, three sexual, and 81 hybrid genotypes were compared with native genotypes “André da Rocha”, “Bagual”, and cultivar “Pensacola” as controls. There is genetic variability in P. notatum for the studied characteristics, and distinct genotypes with superior characteristics can be used in new combinations between apomictic and sexual plants to obtain hybrids. The characters with the greatest relative contribution to the dissimilarity between the genotypes were tiller density, stem dry mass, and leaf dry mass yield. Thus, these characteristics are suitable criteria to infer genetic distance studies in P. notatum . The selection index based on the ideotype is an auxiliary tool in the breeding process. The ideotype must be based on characteristics of interest according to the objective of the breeding program, as well as on the breeder’s prior knowledge in relation to culture.

Seed color, brightness and texture are important aspects for the consumption of immature beans. This study aimed to estimate the phenotypic variability among thirty cowpea genotypes for immature seed harvesting, in order to guide breeding programs. The experiment was carried out in a randomized blocks design, with three replications. The evaluated traits were immature seeds yield, pods and dry seeds production, number of immature pods, 100-immature seeds weight, immature pods length, number of seeds per immature pod, cooking time, harvesting period of immature pods, seed color, pod color, plant growth habit, opening of immature pods, seed threshing from immature pods, cultivation value and seed browning after threshing. Anova and three clustering methods were applied: UPGMA using the Jaccard coefficient of similarity; modified Tocher method based on the Gower algorithm; and k-means. All the analyses were performed based on the variable means of experiments evaluated in six environments. A statistically significant phenotypic variability was observed among all the quantitative traits. Discrepancies occurred in the accessions grouping and number of clusters. The accession BRS Acauã, in one group, and P508 and PCCR3F6L15, in other groups, showed a good quality for immature grain harvesting, were consistently grouped into different clusters and are recommended for use as parents in the development of new cultivars.