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The most recent emerging infectious diseases originated in animals, mainly in wildlife reservoirs. Mutations and recombination events mediate pathogen jumps between host species. The close phylogenetic relationship between humans and non-human primates allows the transmission of pathogens between these species. These pathogens cause severe impacts on public health and impair the conservation of habituated or non-habituated wild-living apes. Constant exposure of great apes to human actions such as hunting, deforestation, the opening of roads, and tourism, for example, contributes to increased interaction between humans and great apes. In spite of several studies emphasizing the risks of pathogen transmission between animals and humans, outbreaks of the reverse transmission of infectious agents threatening wildlife still occur on the African continent. In this context, measures to prevent the emergence of new diseases and conservation of primate species must be based on the One Health concept ; that is, they must also ensure the monitoring of the environment and involve political and social aspects. In this article, we review and discuss the anthropological aspects of the transmission of diseases between people and wild primates and discuss new anthropozoonotic diseases in great apes in Africa from studies published between 2016 and 2020. We conclude that the health of great apes also depends on monitoring the health of human populations that interact with these individuals.

A presente pesquisa sobre as percepções étnico-raciais da juventude negra de Campos dos Goytacazes, tem a perspectiva de constribuir para concepções de novos horizontes pessoais e sociais no que diz respeito ao racismo velado ou explícito ainda existente na sociedade brasileira. O trabalho tem como objetivo geral analisar as percepções fenomenológica da juventude negra de Campos dos Goytacazes-RJ sobre a sua autoimagem e autoestima. A pesquisa te o compromisso de dar voz à juventude negra de Campos dos Goytacazes, discutir tabus, perceber a existência de preconceitos velados, possibilitando uma abertura para o diálogo dentro do contexto social e acadêmico sobre questões étnico-raciais. Os primerios resultados da pesquisa revelam que a discriminação contribui diretamente para o aumento da segregação social; torna difícil o enfrentamento de realidades; evita questionamentos; e afasta, muitas vezes, de forma sutil tentativas de inclusão social. Os estigmas normalmente são reunidos em três grandes grupos, conforme essa linha teórica: as deformidades físicas; as culpas de caráter individual (desonestidade, entre outros); e os estigmas tribais de raça, nação, religião, por exemplo. As pessoas ditas como normais, tendem a se agrupar e a estabelecer padrões de comportamentos que serão impostos ao coletivo, que acabam aceitando e tornando esses padrões como normas de convivência dentro daquele grupo. Aos que não se enquadrarem dentro dos padrões estabelecidos pelo grupo serão estigmatizados. Destarte acredita-se que o convívio obrigatório das pessoas estigmatizadas com as ditas "normais", principalmente quando o grupo a que pertencem não podem excluí-lo, podem levar a baixa estima e por vezes a assumir e concordar com a condição de inferior, levando a depressão ou a outros estados patológicos. Também está sendo observado que o preconceito é passado de geração em geração, sendo uma construção social. Por isso, se ele é construído também pode ser desconstruído.

This work provides an overview of human-made hazards impact on the malfunctioning of terrestrial transportation systems. The impacts evaluation is gathered in four major groups, specifically: human, economic, environmental and political/social impacts. For further characterization or forecast of human-made hazards impact in real case scenarios, a traditional risk assessment framework is proposed by assuming four main steps: i) hazard identification; ii) probability of occurrence; iii) asset vulnerability; iv) impacts. The present work was carried within the SAFEWAY project, which aims at improving the resilience of transport infrastructures, developing a holistic toolset with transversal application to anticipate and mitigate the effects of extreme events at all modes of disaster cycle. ; H2020 -Horizon 2020 Framework Programme(UIDB / ...

A structure may be totally destroyed due to a fire, but often it is only partially damaged and parts of it may still be salvaged and reused. For buildings with significant historic and cultural value, it is of utmost importance that these elements, which were only partially damaged, can still be recovered as to preserve the authenticity of the structure. In the case of timber elements after a fire, it is common to find damage on the cross-section exterior part, whereas the inner part presents still a non-damaged section. Therefore, the element is often found with an exterior irregular shape, either due to its original shape prior decay or due to the exposure to fire, that does not coincide with the inner residual cross-section. Moreover, it is essential to perform a preliminary safety analysis to verify which elements can be preserved and to what extent interventions could be needed. The objective of this work is to apply a methodology that allows to calculate the residual cross-section of partially burnt timber elements structures as to calculate the resistant and apparent sections for geometry assessment and to implement that information in three-dimensional structural models. For this purpose, this work proposes a methodology based on a combination of drilling resistance tests together with laser scanner measurements. The methodology was first tested and calibrated within a controlled laboratory environment and then validated onsite using elements from a building exposed to a past fire. The Casa de Sarmento (Sarmento's House) in Guimar˜aes (Portugal) was used as case study, where various structural damages due to a past fire were found. ; Financiado para publicación en acceso aberto: Universidade de Vigo/CISUG ; European Union | Ref. EAPA_826/2018 ; Agencia Estatal de Investigación | Ref. RTI2018-095893-B-C21

Financiado para publicación en acceso aberto: Universidade de Vigo/CISUG ; A structure may be totally destroyed due to a fire, but often it is only partially damaged and parts of it may still be salvaged and reused. For buildings with significant historic and cultural value, it is of utmost importance that these elements, which were only partially damaged, can still be recovered as to preserve the authenticity of the structure. In the case of timber elements after a fire, it is common to find damage on the cross-section exterior part, whereas the inner part presents still a non-damaged section. Therefore, the element is often found with an exterior irregular shape, either due to its original shape prior decay or due to the exposure to fire, that does not coincide with the inner residual cross-section. Moreover, it is essential to perform a preliminary safety analysis to verify which elements can be preserved and to what extent interventions could be needed. The objective of this work is to apply a methodology that allows to calculate the residual cross-section of partially burnt timber elements structures as to calculate the resistant and apparent sections for geometry assessment and to implement that information in three-dimensional structural models. For this purpose, this work proposes a methodology based on a combination of drilling resistance tests together with laser scanner measurements. The methodology was first tested and calibrated within a controlled laboratory environment and then validated onsite using elements from a building exposed to a past fire. The Casa de Sarmento (Sarmento's House) in Guimar˜aes (Portugal) was used as case study, where various structural damages due to a past fire were found. ; European Union | Ref. EAPA_826/2018 ; Agencia Estatal de Investigación | Ref. RTI2018-095893-B-C21

PurposeThe paper sets out to test relationships between performance improvements and the three classical manufacturing strategy paradigms of fit, best practices, and capabilities defined by Voss.Design/methodology/approachRegression analyses are carried out on an international sample of 697 manufacturers of fabricated metal products, machinery, and equipment.FindingsThe results indicate that capability learning and best practices are positively related to performance improvements in quality, flexibility, and dependability, whereas internal fit appears to be negatively related to flexibility improvements.Research limitations/implicationsThe study reinforces the need for research to explore the nature and role of the three paradigms jointly rather than in isolation. In particular, more research is needed to assess the merits of maintaining fit between operations structure and processes.Practical implicationsImproving performance in areas such as quality, flexibility, and delivery can be achieved through building capabilities and/or adopting best practices, but not apparently by maintaining internal fit between operations structure and processes.Originality/valueThe study validates two of the three classical paradigms of manufacturing strategy and makes the case for research to further specify and test the merits of maintaining internal fit between operations structure and processes.

The most recent emerging infectious diseases originated in animals, mainly in wildlife reservoirs. Mutations and recombination events mediate pathogen jumps between host species. The close phylogenetic relationship between humans and non-human primates allows the transmission of pathogens between these species. These pathogens cause severe impacts on public health and impair the conservation of habituated or non-habituated wild-living apes. Constant exposure of great apes to human actions such as hunting, deforestation, the opening of roads, and tourism, for example, contributes to increased interaction between humans and great apes. In spite of several studies emphasizing the risks of pathogen transmission between animals and humans, outbreaks of the reverse transmission of infectious agents threatening wildlife still occur on the African continent. In this context, measures to prevent the emergence of new diseases and conservation of primate species must be based on the One Health concept; that is, they must also ensure the monitoring of the environment and involve political and social aspects. In this article, we review and discuss the anthropological aspects of the transmission of diseases between people and wild primates and discuss new anthropozoonotic diseases in great apes in Africa from studies published between 2016 and 2020. We conclude that the health of great apes also depends on monitoring the health of human populations that interact with these individuals.

Infrastructure healthy enhancement for saving resources in operation procedures is one of the most important objectives for owners on their decision support system based on cost management. In this manner, finding the intervention action priority, as well as the inspection method and maintenance system for each component, with regard to a limited resources amount is investigated in this paper. Defects on infrastructure components create data and these data are undoubtedly useful to increase the knowledge in decision making in practice. In that sense, risk analysis and value of information can be applied using decision trees together with Bayesian networks. For data filtering and noise reduction, a principal component analysis may also be applied to manage a database and prepare useful input variables for the decision tree system. This paper presented an approach for the maintenance managers to prepare their infrastructure available with a sustainable index with minimum cost. This index would be a tool for decision-makers with regard to the cost management and sustainability aspects. ; This work was partly financed by FCT / MCTES through national funds (PIDDAC) under the R&D Unit Institute for Sustainability and Innovation in Structural Engineering (ISISE), under reference UIDB / 04029/2020. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement ...

Natural disasters are unavoidable and can cause serious damage to bridges, which may lead to catastrophic losses, both human and economic. Therefore, the assessment of bridges exposed to these events is of paramount importance to identify possible mitigation needs. The objective of the present work is to present consistent tools that may allow us to obtain the failure probability of a masonry arch bridge under a flood event, leading to local scour. Surrogate models were implemented to ease the computational cost of the probabilistic analysis. Moreover, a stochastic parametric analysis based on the geotechnical properties of the soil components of masonry arch bridges located in Portugal was performed. The results show the failure mechanism of the masonry arch bridges when subjected to scour-induced settlements and the influence of soil density on the failure probability obtained for different flow discharge values and angles of attack. The presented methodology and derived fragility curves can be used to assess bridge performance under a flood event, thus providing useful information for bridge management and monitoring. ; This work was partly financed by FCT/MCTES through national funds (PIDDAC) under the R&D Unit Institute for Sustainability and Innovation in Engineering Structures (ISISE), under reference UIDB/04029/2020. The second author would like to thank FCT—Portuguese Scientific Foundation—for research grant SFRH/BD/144749/2019. This project has received funding from the European Union's Horizon 2020 research and innovation programmed under grant agreement No 769255. This document reflects only the views of the author(s). Neither the Innovation and Networks Executive Agency (INEA) nor the European Commission is in any way responsible for any use that may be made of the information it ...

In the context of bridge management, three main types of maintenance actions can be considered. Maintenance actions can be taken preventively before the predefined limit condition is reached, or as a corrective measure in case those limits have been reached. The third possibility corresponds to the so-called "doing nothing" scenario, in which no action is taken on the bridge. To be able to implement preventive maintenance, it is necessary to know the current condition of the bridge, as well as to be able to predict its performance. On the other hand, it is also important to be able to identify potentially threatening events that might occur in the analysis life period. This paper describes an integrated methodology to help bridge managers in defining an efficient maintenance program, considering the specific case of a railway bridge. The novelty of the methodology is focused on updating an existing methodology proposed by COST TU1406, by extending it to railway bridges and also by including the resilience analysis in case of a sudden event occurrence. The analysis considers a multi-hazard future scenario, in which a flood event occurs while corrosion phenomena were already in place. The results show the feasibility of the proposed methodology as a support for the establishment of an efficient maintenance schedule to prevent bridge severe degradation, as well as to establish recovery plans in case of a sudden event. ; This work was partly financed by FCT/MCTES through national funds (PIDDAC) under the R&D Unit Institute for Sustainability and Innovation in Structural Engineering (ISISE), reference no. UIDB/04029/2020; HYPER FCT–Por tuguese Scientific Foundation, research grant no. PD/BD/ 128015/2016, under the Ph.D. program "Innovation in Railway System and Technologies-iRail" of the author João N.D. Fernandes; and European Union's Horizon 2020 re search and innovation programme, grant agreement no. 769255. ,e authors would like to thank the Portuguese company "Infraestruturas de Portugal (IP)" for providing ...

The accuracy of forecasting models for the prediction of an infrastructure's deterioration process plays a significant role in the estimation of optimal maintenance, rehabilitation, and replacement strategies. Numerous approaches have been developed to overcome the limitations of existing forecasting models. In this article, a direct comparison is made between different models using the same input data to derive conclusions of their distinct performance. The models selected for the comparison were Markov, semi-Markov, and hidden Markov models together with artificial neural networks (ANNs), which have been reported in literature as reliable deterioration prediction models. A quality of fit was performed to measure how well the observed data corresponded to the predicted values, and therefore objectively compare the performance of each model. The results demonstrated that the most accurate prediction was accomplished by the ANN model. Nevertheless, all models presented differences with respect to typical values of concrete decks life expectancy, which is attributed to the inherent difficulties of the database. Additionally, the problem of the visual inspection subjectivity was also regarded as one of the potential causes for the found deviations. Therefore, this article also discusses the shortcomings of current condition assessment practices and encourages future bridge management systems to replace the classical methods by more sophisticated and objective tools. ; The first, third and fourth authors also acknowledge that, this work was partly 574 financed by FEDER funds through the Competitivity Factors Operational 575 Programme - COMPETE and by national funds through FCT Foundation for 576 Science and Technology within the scope of the project POCI-01-0145-FEDER- 577 007633. This project has received funding from the European Union's Horizon 578 2020 research and innovation programme under grant agreement No 769255. This 579 document reflects only the views of the author(s). Neither the Innovation and 580 ...

ABSTRACT Purpose: To investigate the relationship between religious beliefs and the constructs of the Theory of Planned Behavior in entrepreneurial intention. Originality/value: The article stands out by promoting the understanding of entrepreneurship from the Theory of Planned Behavior proposed by Ajzen (1991), aligning it with religious beliefs. Design/methodology/approach: It is an exploratory and descriptive study, of a quantitative nature. The survey method was used to collect the data, in which a sample of 448 students from the Business Administration courses at two public universities in the northeast of Brazil was obtained. Structural Equation Modeling was used to treat and analyze the data. Findings: The results demonstrated that personal attitude, perceived control, and religious beliefs influence the entrepreneurial intention of university students, which did not occur with subjective norms. However, subjective norms influenced the personal attitude and perceived control of university students. The university students presented a predisposition to entrepreneurship and recognized that they have the necessary skills to create a business. However, the choice to become an entre preneur may not be motivated directly by the expectation of its social referents. Moreover, university students did not perceive the influence of religious beliefs in the manifestation of their behavior, because vocation and prosocial motivation are far from the environmental context in which university students are inserted or because they are not practicing a religion that fosters such beliefs.

As bridges provide crossing at critical points such as waterways, valleys and other type of physical obstacles, they are invaluable assets within a rail network. However, these infrastructures are exposed to several hazards of different natures that compromise their structural safety and ultimately lead to critical events. Accord-ing to literature, there are commonly five levels of assessment of safety with increasing complexity per level. Level 1, consisting on an assessment based on partial coefficients, is the simplest one, whereas level 5 is the most complex involving a combination of non-linear analysis and probabilistic assessment. Within that scope, this paper analyses the structural safety of a pre-stressed reinforced concrete railway bridge located in Portugal, by using a combination of linear elastic and probabilistic analysis procedures. The proposed framework is adaptable and suitable for common safety analysis. The obtained reliability index is compared to threshold values given by different standards which validates that the bridge ensures the safety at ultimate limit state. The reliability levels along time are also determined assuming a reduction in the cross-section area of the steel reinforcement, resulting from corro-sion initiation based on onsite inspection evidences. From the analysis of this scenario over time, it may be concluded that the bridge under study exhibits sufficient load carrying capacity during its planned service life even under the proposed damage. ; The third author would like to thank FCT – Portuguese Scientific Foundation for the research grant PD/BD/128015/2016 under the PhD program "Innovation in Railway System and Technologies- iRail". This work was partly financed by FEDER funds through the Competitivity Factors Operational Programme - COMPETE and by national funds through FCT Foundation for Science and Technology within the scope of the project POCI-01- 0145-FEDER-007633. This project has received funding from the European Union's Horizon 2020 research and innovation ...

Bridges have substantial significance within the transport system, considering that their functionality is essential for countries' social and economic development. Accordingly, a superior level of safety and serviceability must be reached to ensure the operating status of the bridge network. On that account, the recent collapses of road bridges have led the technical–scientific community and society to reflect on the effectiveness of their management. Bridges in a network are likely to share coinciding environmental conditions but may be subjected to distinct structural deterioration processes over time depending on their age, location, structural type, and other aspects. This variation is usually not considered in the bridge management predictions. For instance, the Brazilian standards consider a constant inspection periodicity, regardless of the bridges' singularities. Consequently, it is helpful to pinpoint and split the bridge network into classes sharing equivalent deterioration trends to obtain a more precise prediction and improve the frequency of inspections. This work presents a representative database of the Brazilian bridge network, including the most relevant data obtained from inspections. The database was used to calibrate two independent predictive models (Markov and artificial neural network). The calibrated model was employed to simulate different scenarios, resulting in significant insights to improve the inspection periodicity. As a result, the bridge's location accounting for the differentiation of exposure was a critical point when analyzing the bridge deterioration process. Finally, the degradation models developed following the proposed procedure deliver a more reliable forecast when compared to a single degradation model without parameter analysis. These more reliable models may assist the decision process of the bridge management system (BMS). ; : This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 769255. ...