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Dry rock and soil have the capability to absorb and contain water because of their porosity. Measuring water concentration in different materials is important for many applications. For example, in heap leaching the leaching liquid distribution directly affects the metal recovery. The water concentration is the key parameter affecting the slope stability, and its measurement is therefore of a great importance for landslide prevention and tailing dams safety. Measurement of this parameter is however a significant challenge, and is done mostly by measuring rainfall in the field and/or analyzing soil samples in the laboratory. These measurements are model-dependent and require significant extrapolation of the results. A direct measurement of the water concentration in-situ is offered by muon radiography - through measuring density distribution based on cosmic-ray muon flux monitoring. By measuring the flux of muons from different directions we can reconstruct density maps of any object they traverse, including large volumes of rock. By monitoring the muon flux, our sensors are sensitive to the density changes in any material above it. From these density changes we can infer the amount of water contained within the rock or soil. We performed the first in-situ, fully volumetric monitoring of the water concentration in an active leaching heap in Chile. Here we discuss the results of these pioneering measurements and the potential for muon imaging of the water concentration for different applications.

Uma das principais diretrizes do Sistema Nacional de Ciência, Tecnologia e Inovação (SNCTI) é a internacionalização da pesquisa e pós-graduação nacional, política pública essencial ao desenvolvimento científico, tecnológico, econômico, social, cultural e ambiental do país. É um desafio nacional figurar entre as principais nações em produção de conhecimento e inovação do mundo. O objetivo deste estudo é relatar e analisar a experiência do Centro de Referência em Desenvolvimento e Humanidades da Universidade do Estado da Bahia (CRDH/UNEB) com a internacionalização da pesquisa e pós-graduação através das plataformas e redes digitais educacionais. A metodologia da pesquisa prevê a triangulação de fontes a partir da observação participante, análise documental e revisão de literatura. Os resultados apontam para a ampliação da internacionalização a partir das redes digitais e educacionais; realização de atividades de pesquisa e inovação híbridas; e mudanças na formação docente e discente.

As primary funders of sport mega-events, host country residents deserve to reap benefits. Subjective well-being (SWB) can be one such positive outcome. Research analyzing the relationship between sport events and SWB is limited, and results are ambiguous. This study examines the effects of social impact experiences from the Rio 2016 Olympic and Paralympic Games (Rio2016) on SWB of host country residents, considering attitudinal involvement with the event. Using a cohort longitudinal design, data were collected during (n=402) and six months after (n=401) the event. Attitudinal involvement was significantly related to most factors of social impact experiences during, but not after Rio2016. Social impact experiences were low during and even lower after Rio 2016, not contributing significantly to SWB of Brazilians. SWB was high during and after Rio2016, but not significantly different between these moments. Rio2016 did not affect the SWB of residents.

The UEFA EURO 2020 football tournament was one of the largest Sporting Mega Events (SMEs) to take place during the COVID-19 pandemic. Mitigating the risk of virus transmission requires a multi-layered approach for any large event, more so in this case due to staging the tournament across eleven host countries. Yet, little is known about COVID-19 risks and mitigation from attending an event of this scale and nature. We examined the implementation of mitigation and messaging at EURO 2020 matches hosted at venues in the UK. The tournament was postponed from the summer of 2020 and played in June and July of 2021. Structured observations were conducted by 11 trained fieldwork-supporters at 10 matches played at Wembley Stadium, London, or Hampden Park, Glasgow. Fieldwork-supporters observed one-way systems and signage, and hand sanitizing stations inside the stadia, but reported significant variation in the implementation of staggered timeslots, testing upon entry, and procedures for exit. Adherence to planned measures by ticket holders and implementation by stewards waned as the tournament progressed culminating in an absence of enforced measures at the final. The non-compliance with COVID-19 mitigation measures was likely to have led to a significantly increased risk of transmission. Future events should consider how COVID-19 mitigation measures could become 'new norms' of fan behaviour, learning from what is already known about football fandom. Tournament organizers of SMEs can use these findings to promote clearer messaging on pandemic-driven changes in fan behaviour and best practices in mitigating risk at future sporting and cultural events.The UEFA EURO 2020 football tournament saw one of the largest returns to spectating at sporting events during the COVID-19 pandemic. With the tournament taking place across 11 different countries, several measures (e.g. mask-wearing and social distancing) were put in place to protect ticket holders from spreading and catching COVID-19, and these were communicated to spectators before and during matches. This study considers how these measures were implemented at EURO 2020 matches hosted in the UK. Despite retaining the name ‘EURO 2020’, the tournament was postponed from the summer of 2020 and played in June and July of 2021. We recruited and trained 11 ticket holders who became observers at 10 matches played at Wembley Stadium, London, or Hampden Park, Glasgow. The results demonstrate that supporting normally at football matches during the pandemic times increased the risk of virus transmission. There were inconsistencies in how mitigation measures were planned and implemented by tournament organizers. Ticket holders were also less compliant with mitigation measures as the tournament progressed, likely made more difficult with relaxations in government restrictions. To limit virus transmission at future sporting and cultural events, messaging on mitigation measures must be clear, consistent and implemented as planned.

Podcasts are becoming an increasingly popular source of information. However, they often rely on the topical knowledge of the listener in order for them to be fully understood. We describe an investigation into methods to augment the contents of podcasts with related information from the Web. We seek to identify webpages related to segments within a podcast. NLP techniques are used to analyze audio podcast transcripts and link these to related content. We propose and examine 10 methods for automatically generating search queries from transcript segments, which are then used to search for related content on the web. The relevance of retrieved webpages to retrieved content is evaluated using crowdsourcing via Amazon Mechanical Turk. Extracting key phrases directly from the podcasts using YAKE was the most successful approach with more than 90% returned pages assessed as relevant, with precision at rank 1 and rank 3 above 0.9.

Drawing upon the technology acceptance model, the aim of this study was to describe the effects of technology innovations in Formula 1 (F1) on fans’ satisfaction and commitment to consumption of F1 as a TV product, controlling for identification with F1 and specific teams and drivers. We surveyed F1 fans (N = 449) contacted via web-based forums. Results of a structural equation modeling showed that positive perceptions of technology innovation lead to satisfaction with F1 as a TV product, which in turn leads to commitment to consumption. Highly identified fans are committed to consuming the sport on TV, but they do not necessarily accept F1 new technologies. Technology changes that increase predictability and competitive unbalance are not well received and may lead to less consumption of F1 on TV. F1 managers need to make careful analysis before introducing new technology, which might decrease the TV audience for F1 races.

This article aims to understand the relationship between basic needs satisfaction, self-determined motivation, and burnout in esports players. To achieve this, we investigate three research hypotheses: (1) The three dimensions of basic needs satisfaction have a positive effect on the self-determined motivation of esports players, (2) The self-determined motivation of esports players has a negative effect on their burnout, and (3) All three dimensions of basic needs satisfaction affect esports player’s burnout, indirectly via self-determined motivation. Data were collected through an online questionnaire (n = 608) administered to Korean esports players who play online games as a leisure activity. Results indicate that player competence has a negative relationship with self-determined motivation, suggesting that Korean players do not associate increased levels of competence with their intrinsic motivation. The results show that intrinsic motivation is negatively associated with burnout, particularly exhaustion and reduced sense of accomplishment. It should be noted that Korean players’ high level of competence can result in reduced levels of self-determined motivation, which can lead them to burnout. This should be addressed by the industry, practitioners, and researchers considering the cultural context and the relationship between the factors, which will contribute to the sustainable growth and prosperity of the esports.

Approximately two billion people lack access to microbiologically safe drinking water globally. Boiling is the most popular household water treatment method and significantly reduces diarrheal disease, but is often practiced inconsistently or ineffectively. The use of low-cost technologies to improve boiling is one approach with potential for increasing access to safe drinking water. We conducted household trials to evaluate the feasibility and acceptability of water pasteurization indicators (WAPIs) in the Peruvian Amazon in 2015. A total of 28 randomly selected households were enrolled from a rural and a peri-urban community. All households trialed two WAPI designs, each for a 2-week period. Ninety-six percent of participants demonstrated the correct use of the WAPIs at the end of each trial, and 88% expressed satisfaction with both WAPI models. Ease of use, short treatment time, knowledge of the association between WAPI use and improved health, and the taste of treated water were among the key factors that influenced acceptability. Ease of use was the key factor that influenced design preference. Participants in both communities preferred a WAPI with a plastic box that floated on the water’s surface compared with a WAPI with a wire that was dipped into the pot of drinking water while it was heating (77% versus 15%, P < 0.001); we selected the box design for a subsequent randomized trial of this intervention. The high feasibility and acceptability of the WAPIs in this study suggest that these interventions have potential to increase access to safe water in resource-limited settings.

Five biologicals have been approved for severe eosinophilic asthma, a well-recognized phenotype. Systematic reviews (SR) evaluated the efficacy and safety of benralizumab, dupilumab, mepolizumab, omalizumab and reslizumab (alphabetical order) compared to standard of care for severe eosinophilic asthma. PubMed, Embase and Cochrane Library were searched to identify RCTs and health economic evaluations, published in English. Critical and important asthma-related outcomes were evaluated for each of the biologicals. The risk of bias and the certainty of the evidence were assessed using GRADE. 19 RCTs (three RCTs for benralizumab, three RCTs for dupilumab, three RCTs for mepolizumab, five RCTs for omalizumab and five RCTs for reslizumab), including subjects 12 to 75 years old (except for omalizumab including also subjects 6-11 years old), ranging from 12 to 56 weeks were evaluated. All biologicals reduce exacerbation rates with high certainty of evidence: benralizumab incidence rate ratio (IRR) 0.53 (95% CI 0.39 to 0.72), dupilumab (IRR) 0.43 (95% CI 0.32 to 0.59), mepolizumab IRR 0.49 (95% CI 0.38 to 0.66), omalizumab (IRR) 0.56 (95% CI 0.40 to 0.77) and reslizumab (IRR) 0.46 (95% CI 0.37 to 0.58). Benralizumab, dupilumab and mepolizumab reduce the daily dose of oral corticosteroids (OCS) with high certainty of evidence. All evaluated biologicals probably improve asthma control, QoL and FEV1 , without reaching the minimal important difference (moderate certainty). Benralizumab, mepolizumab and reslizumab slightly increase drug-related adverse events (AE) and drug-related serious AE (low to very low certainty of evidence). The incremental cost-effectiveness ratio per quality-adjusted life year value is above the willingness to pay threshold for all biologicals (moderate certainty). Potential savings are driven by decrease in hospitalizations, emergency and primary care visits. There is high certainty that all approved biologicals reduce the rate of severe asthma exacerbations and for benralizumab, dupilumab and mepolizumab for reducing OCS. There is moderate certainty for improving asthma control, QoL, FEV1 . More data on long-term safety are needed together with more efficacy data in the paediatric population.

Self-management interventions (SMIs) may improve outcomes in Chronic Obstructive Pulmonary Disease (COPD). However, accurate comparisons of their relative effectiveness are challenging, partly due to a lack of clarity and detail regarding the intervention content being evaluated. This study systematically describes intervention components and characteristics in randomized controlled trials (RCTs) related to COPD self-management using the COMPAR-EU taxonomy as a framework, identifying components that are insufficiently incorporated into the design of the intervention or insufficiently reported. Overall, 235 RCTs published between 2010 and 2018, from a systematic review were coded using the taxonomy, which includes 132 components across four domains: intervention characteristics, expected patient (or caregiver) self-management behaviours, patient relevant outcomes, and target population characteristics. Risk of bias was also assessed. Interventions mainly focused on physical activity (67.4%), and condition-specific behaviours like breathing exercise (63.5%), self-monitoring (50.8%), and medication use (33.9%). Support techniques like education and skills-training, self-monitoring, and goal setting (over 35% of the RCTs) were mostly used for this. Emotional-based techniques, problem-solving, and shared decision-making were less frequently reported (less than 15% of the studies). Numerous SMIs components were insufficiently incorporated into the design of COPD SMIs or insufficiently reported. Characteristics like mode of delivery, intensity, location, and providers involved were often not described. Only 8% of the interventions were tailored to the target population’s characteristics. Outcomes that are considered important by patients were hardly taken into account. There is still a lot to improve in both the design and description of SMIs for COPD. Using a framework such as the COMPAR-EU SMI taxonomy may contribute to better reporting and to better informing of replication efforts. In addition, prospective use of the taxonomy for developing and reporting intervention content would further aid in building a cumulative science of effective SMIs in COPD.

This systematic review evaluates the efficacy and safety of biologicals for chronic rhinosinusitis with nasal polyps (CRSwNP) compared to the standard of care.Pubmed, EMBASE and Cochrane Library were searched for RCTs. Critical and important CRSwNP-related outcomes were considered. The risk of bias and the certainty of the evidence were assessed using GRADE. RCTs evaluated (dupilumab-2, omalizumab-4, mepolizumab-2, reslizumab-1) included 1236 adults, with follow-up 20-64 weeks. Dupilumab reduces the need for surgery (NFS) or oral corticosteroid (OCS) use (RR 0.28; 95%CI 0.20-0.39, moderate certainty) and improves with high certainty smell evaluated with UPSIT score (mean difference (MD) +10.54; 95%CI +9.24 to +11.84) and quality of life (QoL) evaluated with SNOT-22 (MD -19.14; 95%CI -22.80 to -15.47), with fewer treatment-related adverse events (TAEs) (RR 0.95; 95%CI 0.89-1.02, moderate certainty). Omalizumab reduces NFS (RR 0.85; 95%CI 0.78 to 0.92, high certainty), decreases OCS use (RR 0.38; 95%CI 0.10-1.38, moderate certainty), improves with high certainty smell (MD +3.84; 95%CI +3.64 to +4.04) and QoL (MD -15.65; 95%CI -16.16 to -15.13), with increased TAE (RR 1.73; 95%CI 0.60-5.03, moderate certainty). There is low certainty for mepolizumab reducing NFS (RR 0.78; 95%CI 0.64 to 0.94) and improving QoL (MD -13.3; 95% CI -23.93 to -2.67) and smell (MD +0.7; 95%CI -0.48 to +1.88), with increased TAEs (RR 1.64; 95%CI 0.41-6.50). The evidence for reslizumab is very uncertain.

The presence of multi-drug resistant (MDR) E. coli harboring virulence pathotypes in aquatic systems is a public health concern due to an increase number of cases of infections and outbreaks in industrialized and developing countries. The aim of the present study was to evaluate the microbiological quality of Joana river, located at Rio de Janeiro, by analyzing E. coli bacteria contamination and to investigate virulence properties and MDR profiles by phenotypic and genotypic methods, including bacterial interaction with Caco-2 cells. A total of 34 E. coli were identified by MALDI-TOF and 20 E. coli were characterized as MDR when submitted to antimicrobial susceptibility test. Evaluation by multiplex-PCR of MDR E. coli demonstrated the presence of virulence pathotypes: EHEC (stx1, stx2, eae genes), STEC (stx2 gene) and EIEC/STEC (stx2, iaL genes). Virulence potential was demonstrated by the ability to adhere and survive within Caco-2 cells of MDR E. coli pathotypes (n = 4). In conclusion, this study demonstrates the presence of diarrheagenic MDR E. coli in river water at Rio de Janeiro. The possibility of aquatic environment dissemination of antimicrobial resistance and human contamination leading to community and nosocomial infections due to virulent MDR E. coli water-borne pathogens is a matter of concern.

The increasingly spread of information through digital media raises new realities in the world's present scenario and, thus, new technologies have been emerging in order to streamline the process of disseminating information and providing quality access to such information by the population. The Next Generation Network (NGN) holds tremendous potential, with a promise to merge the transmission of data, voice, video and other media into a single network; unfortunately, several developing countries do not have the necessary infra-structure to implement NGN technology. The main concern in these networks is not the backbone or the transport layer, but in the last mile itself. Last mile has become a popular keyword to indicate the technology which connects the End User to the Network backbone.

This systematic review evaluates the efficacy, safety and economic impact of dupilumab compared to standard of care for uncontrolled moderate-to-severe atopic dermatitis (AD). Pubmed, EMBASE and Cochrane Library were searched for RCTs and health economic evaluations. Critical and important AD-related outcomes were considered. The risk of bias and the certainty of the evidence were assessed using GRADE. Seven RCTs including 1845 subjects >12 years treated with dupilumab 16 to 52 weeks were evaluated. For adults, there is high certainty that dupilumab decreases SCORAD (MD -30,72; 95% CI -34,65% to -26,79%) and EASI-75 (RR 3.09; 95% CI 2.45 to 3.89), pruritus (RR 2.96; 95% CI 2.37 to 3.70), rescue medication (RR 3.46; 95% CI 2.79 to 4.30), sleep disturbance (MD -7.29; 95% CI -8.23 to -6.35) and anxiety/depression (MD -3.08; 95% CI -4.41 to -1.75) and improves quality of life (MD -4.80; 95% CI -5.55 to -4.06). The efficacy for adolescents is similar. Dupilumab-related adverse events (AEs) slightly increase (low certainty). The evidence for dupilumab-related serious AE is uncertain. The incremental cost-effectiveness ratio ranged from 28 500 pound (low certainty) to 124 541 US$ (moderate certainty). More data on long-term safety are needed both for children and for adults, together with more efficacy data in the paediatric population.Registration: PROSPERO (CRD42020153645).

Drinking water contamination is a frequent problem in developing countries and could be associated with bacterial pathogen carriage in feces. We evaluated the association between the risk of drinking water and bacterial carrier status in children younger than 5 years in a cross-sectional study conducted in 199 households from three Peruvian rural communities. Fecal samples from children were screened for pathogenic Aeromonas, Campylobacter, and Vibrio species, as well as for Enterobacteriaceae, including pathogenic Escherichia coli. The drinking water risk was determined using E. coli as an indicator of contamination. Nineteen (9.5%) children were colonized with pathogens and classified as carriers, all without diarrhea symptoms. Of 199 drinking water samples, 38 (19.1%) were classified as very high risk because of high fecal contamination (> 100 E. coli/100 mL). Shared-use water sources, daily washing of containers, and washing using only water were associated with higher prevalence of bacterial carriage, whereas there was no association between households reporting boiling and chlorination of water and carrier status. The prevalence of carriage in children exposed to very high-risk water was 2.82 (95% CI: 1.21-6.59) times the prevalence of those who consumed less contaminated water, adjusted by the water source and daily washing. Our results suggest that household drinking water plays an important role in the generation of carriers with diarrheal pathogens. Our findings also highlight the importance of interventions to ensure the safety of drinking water. Further studies are needed to validate the observed association and determine its significance with respect to diarrhea in the community.

Dupilumab, a fully human monoclonal antibody against interleukin-4 receptor α, is approved as add-on maintenance treatment for inadequately controlled type 2 severe asthma. This systematic review evaluated the efficacy, safety and economic impact of dupilumab compared to standard of care for uncontrolled severe asthma. PubMed, EMBASE and Cochrane Library were searched for RCTs and health economic evaluations. Critical and important asthma-related outcomes were evaluated. The risk of bias and the certainty of the evidence were assessed using GRADE. Three RCTs including 2735 subjects >12 years old and 24-52 weeks of follow-up were included. Dupilumab reduced with high certainty severe asthma exacerbations (Incidence rate ratio 0.51; 95% CI 0.45-0.59) and the percentage use of oral corticosteroid use (mean difference (MD) -28.2 mg/d; 95% CI -40.7 to -15.7). Asthma control (ACQ-5), quality of life (AQLQ) and rescue medication use [puffs/d] improved, without reaching the minimal important clinical difference: ACQ-5 MD -0.28 (95% CI -0.39 to -0.17); AQLQ MD +0.28 (95% CI 0.20-0.37); and rescue medication MD -0.35 (95% CI -0.73 to +0.02). FEV1 increased (MD +0.15; 95% CI +0.11 to +0.18) (moderate certainty). There was an increased rate of dupilumab-related adverse events (AEs) (moderate certainty) and of drug-related serious AEs (low certainty). The incremental cost-effectiveness ratio of dupilumab versus standard therapy was 464 000$/QALY (moderate certainty). More data on long-term safety are needed both for children and for adults, together with more efficacy data in the paediatric population.

Allergic asthma is a frequent asthma phenotype. Both IgE and type 2 cytokines are increased, with some degree of overlap with other phenotypes. Systematic reviews assessed the efficacy and safety of benralizumab, dupilumab and omalizumab (alphabetical order) vs standard of care for patients with uncontrolled severe allergic asthma. PubMed, Embase and Cochrane Library were searched to identify RCTs and health economic evaluations, published in English. Critical and important asthma-related outcomes were evaluated. The risk of bias and the certainty of the evidence were assessed using GRADE. All three biologicals reduced with high certainty the annualized asthma exacerbation rate: benralizumab incidence rate ratios (IRR) 0.63 (95% CI 0.50 - 0.81); dupilumab IRR 0.58 (95%CI 0.47 - 0.73); and omalizumab IRR 0.56 (95%CI 0.42 - 0.73). Benralizumab and dupilumab improved asthma control with high certainty and omalizumab with moderate certainty; however, none reached the minimal important difference (MID). Both benralizumab and omalizumab improved QoL with high certainty, but only omalizumab reached the MID. Omalizumab enabled ICS dose reduction with high certainty. Benralizumab and omalizumab showed an increase in drug-related adverse events (AEs) with low to moderate certainty. All three biologicals had moderate certainty for an ICER/QALY value above the willingness to pay threshold. There was high certainty that in children 6-12 years old omalizumab decreased the annualized exacerbation rate [IRR 0.57 (95%CI 0.45-0.72)], improved QoL [relative risk 1.43 (95%CI 1.12 -1.83)], reduced ICS [mean difference (MD) -0.45 (95% CI -0.58 to -0.32)] and rescue medication use [ MD -0.41 (95%CI -0.66 to -0.15)].

Health-care–associated infections (HAI) and antimicrobial resistance are of great public health concern worldwide.1 Bacterial pathogens causing HAI have become increasingly more resistant over the past 10–15 years as a result of various mechanisms, including gene-mediated enzymes such as class A, B, and D β-lactamases.2 Numerous factors, from the horizontal transfer of gene-encoded enzymes to global travel, have allowed resistance and resistant organisms to rapidly spread with great clinical and epidemiological impact.3,4 The recently described carbapenemase, New Delhi metallo-β-lactamase (NDM-1) class B, is of particular epidemiological and clinical concern. Since its discovery in 2008, NDM-1 has rapidly spread worldwide and confers resistance to almost all lactams, with the exception of aztreonam, leaving limited therapeutic options against pathogens harboring NDM-1, typically colistin, tigecycline, and fosfomycin.2,5,6 In Latin America, the blaNDM-1 gene was first reported in 2011 from Guatemala and Colombia, and later from Mexico in 2012, Brazil in 2013, and Uruguay in 2013, with all instances from Enterobacteriaceae.5 The blaNDM-1 gene in non-fermentative pathogens was first reported in Latin America from Honduras (Acinetobacter baumannii) and Paraguay (Acinetobacter pittii) in 2012, and later from Brazil (A. baumannii) in 2014, Cuba (Acinetobacter soli) in 2015, Argentina (Acinetobacter junii) in 2016, and Colombia (A. baumannii) in 2017.5–8 In Peru, the first report of blaNDM-1 was in May 2017 in a set of nine Klebsiella pneumoniae infecting or colonizing critically ill neurological patients from one hospital in Lima.9 Here, we describe the identification of the first three strains of A. baumannii harboring blaNDM-1 in Peru as part of a strain-based surveillance project carried out by the Naval Medical Research Unit No Six (NAMRU-6) in Lima, Peru.

Despite advances in the quality and availability of information and communication technologies (ICT), the level of access and skill in using these resources remains unequal. This is particularly evident in developing countries. To reduce the gap between these levels of ICT use, organizations (both public and private) invest in the expansion of infrastructure by providing ICT access and ICT training. In this study, we demonstrate that there is a gap in current approaches to monitor and evaluate large-scale ICT training interventions. Thus, we propose an approach based on social network analysis and data mining techniques, and apply it to an online training program conducted in different regions of Brazil. The results allow us to examine different aspects of the program, such as the region of participants, the institutions driving the intervention, local indicators of telecommunications infrastructure, and local socioeconomic conditions.

O interesse cada vez maior das empresas em adquirir novas tecnologias de processarnento e armazenamento de dados, além de visualizar a informação como seu maior patrimônio, tem direcionado várias pesquisas para o estudo do processo de transformação desses dados em conhecimento, o que pode proporcionar um auxílio efetivamente inteligente à tomada de decisão. Nesse contexto, o processo de Extração de Conhecimento de Bases de Dados (KDD - Knowledge Discovery in Database) desponta como uma tecnologia capaz de cooperar amplamente na busca do conhecimento embutido nos dados. Essa busca pode ser realizada utilizando métodos estatísticos e/ou técnicas de Inteligência Artificial, especialmente as que manipulam incerteza, que são amplamente aplicados na análise de dados com objetivo de encontrar relações de interesse. As redes Bayesianss representam um dos modelos mais proeminentes para encontrar essas relações. Este trabalho envolve a investigação dos conceitos, técnicas, métodos e ferramentas Bayesianas para auxiliar o processo de extração de conhecimento de bases de dados, considerando a incorporação de conhecimento de fundo, bem como o tratamento de dados incompletos. The fa.ct that companies are becoming more and more interested in acquiring new technologies for processing and storing data, as well as the view that information is their largest asset, has led to much regearch about the process of transforming this data into knowledge, which can malce it possible to aid decision-making in an effective and intelligent miner. In this context, the Knowledge Discovery in Databases (KDD) proress has emerged as a technology well suited to searching for knowledge that is embedded in the data. This search can be made using statistical methods and/or Artificial Intelligence techniques, especially those that manipulate uncertainty, which are widely used to analyze data and find interesting relations. Bayesian networks represent one of the more proeminent models for finding these relations. This work involves the investigation of Bayesian concepts, techniques, methods and tools to aid the process of extracting knowledge from databases, considering the inclusion of background knowledge, as well as treatment of incomplete data.

Introduction. Pseudomonas aeruginosa has the ability to acquire plasmids and other mobile genetic elements that confer resistance to antibiotics. Bacterial genes encoding different β-lactamases (bla), such as metallo-β-lactamases (MBLs) and extended-spectrum β-lactamases (ESBL), can confer resistance to multiple classes of β-lactam antibiotics. Case presentation. An 83 year old female was admitted in 2012 to the Peruvian Naval Hospital, Centro Medico Naval ‘Cirujano Mayor Santiago Tavara’ (CEMENA), in Lima, Peru. A midstream urine sample was collected and sent to the local CEMENA laboratory for routine urine culture. P. aeruginosa was isolated and initial antibiotic susceptibility testing showed it to be sensitive to imipenem. The clinicians started a course of meropenem, but the patient did not improve. After 5 days, a second urine culture was performed and a P. aeruginosa was isolated again, but this time the strain showed resistance to imipenem. The treatment course was changed to fosfomycin and the patient improved. Phenotypic and molecular laboratory testing to characterize the antibiotic resistance were performed, demonstrating the presence of both MBL and ESBL genes. Conclusion. To our knowledge, this is the first report of a P. aeruginosa XDR clinical isolate that co-expresses an MBL (VIM-2), OXA-1 beta-lactamase and the ESBL (GES-1) in Peru. It is also the first report of a VIM carbapenemase in Peru.

Social network analysis is appointed as a promising approach to analyze the interactions in e-learning environments. Virtual Learning Environments (VLE) allow the register of significant amounts of data, proving to be a valuable data source to support researches on online interactions. This study is applied in a course offered in Brazil for training individuals to act as digital inclusion agents in telecenters. Our goals were to investigate the influence of the tutor's role in the grouping of individuals who interact through the VLE and to investigate the grouping of individuals from different regions of the country. Our approach presents the visualization of structure of interactions among the actors and discusses structural aspects of the interactions occurred in the VLE. We found that the classification of individuals by region could be predicted by the classification using a community detection method.