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Chronic Kidney Disease (CKD) is a growing public-health concern worldwide. Patients exhibit compromised immunity and are more prone to infection than other populations. Therefore, oral colonization by clinically relevant members of the Enterobacteriaceae family, major agents of both nosocomial and dialysis-associated infections with frequent prevalence of antibiotic resistances, may constitute a serious risk. Thus, this study aimed to assess the occurrence of clinically relevant enterobacteria and their antibiotic resistance profiles in the oral cavity of CKD patients undergoing peritoneal dialysis (CKD-PD) and compare it to healthy controls. Saliva samples from all the participants were cultured on MacConkey Agar and evaluated regarding the levels of urea, ammonia, and pH. Bacterial isolates were identified and characterized for antibiotic resistance phenotype and genotype. The results showed that CKD-PD patients exhibited significantly higher salivary pH, urea, and ammonia levels than controls, that was accompanied by higher prevalence and diversity of oral enterobacteria. Out of all the species isolated, only the prevalence of Raoultella ornithinolytica varied significantly between groups, colonizing the oral cavity of approximately 30% of CKD-PD patients while absent from controls. Antibiotic resistance phenotyping revealed mostly putative intrinsic resistance phenotypes (to amoxicillin, ticarcillin, and cephalothin), and resistance to sulfamethoxazole (~43% of isolates) and streptomycin (~17%). However, all isolates were resistant to at least one of the antibiotics tested and multidrug resistance isolates were only found in CKD-PD group (31,6%). Mobile genetic elements and resistance genes were detected in isolates of the species Raoultella ornithinolytica , Klebsiella pneumoniae , Klebsiella oxytoca , Escherichia coli , and Enterobacter asburiae , mostly originated from CKD-PD patients. PD-related infection history revealed that Enterobacteriaceae were responsible for ~8% of peritonitis and ~ 16% of exit-site infections episodes in CKD-PD patients, although no association was found to oral enterobacteria colonization at the time of sampling. The results suggest that the CKD-induced alterations of the oral milieu might promote a dysbiosis of the commensal oral microbiome, namely the proliferation of clinically relevant Enterobacteriaceae potentially harboring acquired antibiotic resistance genes. This study highlights the importance of the oral cavity as a reservoir for pathobionts and antibiotic resistances in CKD patients undergoing peritoneal dialysis., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Costa, Merino-Ribas, Ferreira, Campos, Silva, Pereira, Garcia, Azevedo, Mesquita, Rangel, Manaia and Sampaio-Maia.)

Excessive sun exposure during childhood increases the risk of skin cancer. This study characterized the knowledge and attitudes of caregivers regarding exposure and sun protection of children and adolescents. One hundred and ninety-eight caregivers (38.5 ± 8.0 years) who resorted to the consultations of a Pediatrics Service or a Family Health Unit answered a questionnaire. The age of children/adolescents was 6.5 ± 5.1 years. On average, caregivers presented a high level of knowledge regarding exposure and sun protection. One hundred and twenty-six caregivers indicated that they obtained more information about sun protection on social communication, and 66% considered the information provided by healthcare professionals to be enough. One-hundred and fifteen caregivers reported that the child/adolescent was more exposed to the sun after 4 a.m., and 88% reported applying sunscreen on the beach/pool and outdoor activities. Fifty-seven percent of caregivers renewed sunscreen application on the child/adolescent every 2 h, and 94% applied a sun protection factor ≥ 50 in the child/adolescent. There was a significant association ( p < 0.001) between education level and caregivers' self-knowledge about sun protection (the higher the education, the higher the knowledge), and between the knowledge of the hour of sun exposure avoidance and the time when the child/adolescent was more exposed to the sun. This study shows that caregivers are highly knowledgeable about exposure and sun protection in children/adolescents, and their attitudes follow the general recommendations.

Bee-mediated pollination greatly increases the size and weight of tomato fruits. Therefore, distinguishing between the local set of bees-those that are efficient pollinators-is essential to improve the economic returns for farmers. To achieve this, it is important to know the identity of the visiting bees. Nevertheless, the traditional taxonomic identification of bees is not an easy task, requiring the participation of experts and the use of specialized equipment. Due to these limitations, the development and implementation of new technologies for the automatic recognition of bees become relevant. Hence, we aim to verify the capacity of Machine Learning (ML) algorithms in recognizing the taxonomic identity of visiting bees to tomato flowers based on the characteristics of their buzzing sounds. We compared the performance of the ML algorithms combined with the Mel Frequency Cepstral Coefficients (MFCC) and with classifications based solely on the fundamental frequency, leading to a direct comparison between the two approaches. In fact, some classifiers powered by the MFCC-especially the SVM-achieved better performance compared to the randomized and sound frequency-based trials. Moreover, the buzzing sounds produced during sonication were more relevant for the taxonomic recognition of bee species than analysis based on flight sounds alone. On the other hand, the ML classifiers performed better in recognizing bees genera based on flight sounds. Despite that, the maximum accuracy obtained here (73.39% by SVM) is still low compared to ML standards. Further studies analyzing larger recording samples, and applying unsupervised learning systems may yield better classification performance. Therefore, ML techniques could be used to automate the taxonomic recognition of flower-visiting bees of the cultivated tomato and other buzz-pollinated crops. This would be an interesting option for farmers and other professionals who have no experience in bee taxonomy but are interested in improving crop yields by increasing pollination., Competing Interests: The authors have declared that no competing interests exist.

Introduction: Asthma affects more than 339 million people worldwide. In the Community of Portuguese Speaking Countries, in 2016, its prevalence ranged from 9.5% (Portugal) to 3.91% (Brazil). Chronic disease management programs aim to improve the health status of patients with chronic disease and reduce associated costs. The objective of this study is to identify models of asthma asthma 'management and control' that are that are implemented in the Community of Portuguese Speaking Countries (CPLP), and analyse them through the integrated disease management model., Material and Methods: A rapid review of the PubMed indexed scientific literature and grey literature on 'management and control of asthma' in the countries of the Community of Portuguese-Speaking Countries was carried out., Results: Portugal, Brazil and Mozambique presented publications on 'management and control of asthma', at different stages of implementation. Clinical management and organization and service delivery are the dimensions of integrated disease management most addressed in publications., Discussion: The implementation of asthma management and control programs is influenced by health systems, care delivery structures, and the surrounding political and social environment. The dimensions of funding and information systems are the most difficult to implement given the degree of economic, social and technological development of most countries under study., Conclusion: Only Portugal, Brazil and Mozambique adopted asthma integrated disease management as the main form of asthma management and control. The programs developed by these countries can constitute a model for asthma integrated disease management in the other countries under study.

Objective: Studies of outcome after traumatic brain injury (TBI) are hampered by the lack of robust injury severity measures that can accommodate spatial-anatomical and mechanistic heterogeneity. In this study we introduce a Mahalanobis distance measure ( M ) as an intrinsic injury severity measure that combines in a single score the many ways a given injured brain's connectivity can vary from that of healthy controls. Our objective is to test the hypotheses that M is superior to univariate measures in (1) discriminating patients and controls and (2) correlating with cognitive assessment., Methods: Sixty-five participants (34 with mild TBI, 31 controls) underwent diffusion tensor MRI and extensive neuropsychological testing. Structural connectivity was inferred for all participants for 22 major white matter connections. Twenty-two univariate measures (1 per connection) and 1 multivariate measure ( M ), capturing and summarizing all connectivity change in a single score, were computed., Results: Our multivariate measure ( M ) was able to better discriminate between patients and controls (area under the curve 0.81) than any individual univariate measure. M significantly correlated with cognitive outcome (Spearman ρ = 0.31; p < 0.05). No univariate measure showed significant correlation after correction for multiple comparisons., Conclusions: Heterogeneity in the severity and distribution of injuries after TBI has traditionally complicated the understanding of outcomes after TBI. Our approach provides a single, continuous variable that can fully capture individual heterogeneity. M 's ability to distinguish even mildly injured patients from controls and its correlation with cognitive assessment suggest utility as an imaging-based marker of intrinsic injury severity., (Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.)

Polymeric ion selective electrodes are highly sensitive to changes in zero current ion flow and this offers a route to signal amplification in label-free potentiometric immunosensors. In this work, a label-free potentiometric immunosensor toward Salmonella typhimurium (ST) assembled in a home-made pipette-tip electrode is described. The signal-output amplification was implemented on a gold nanoparticle polymer inclusion membrane (AuNPs-PIM) which was used as sensing platform and for antibody immobilization. Additionally, a marker ion was used to detect the antibody-antigen binding event at the electrode surface. The immunosensor construction was performed in several steps: i) gold salt ions extraction in PVC membrane; ii) AuNPs formation using Na 2 EDTA as reduction agent; iii) antibody anti-Salmonella conjugation on AuNPs-PIM in pipette-tip electrodes. The potential shift observed in potentiometric measurements was derived simply from the blocking effect in the ionic flux caused by antigen-antibody conjugation, without no extra steps, mimetizing the ion-channel sensors. A detection limit of 6 cells mL -1 was attained. As proof-of-concept, recovery studies were performed in spiked commercial apple juice samples with success. Due to the simplicity of use, the appealing cost of equipment and sensor production and being able to provide a quick analytical response (less than 1 h for a complete assay, including sample preparation for analysis), this scheme represents a good prototype device for the detection of foodborne pathogens like ST or other immune-responsive bacteria., (Copyright © 2018 Elsevier B.V. All rights reserved.)

According to the recent statistics, Salmonella is still an important public health issue in the whole world. Legislated reference methods, based on counting plate methods, are sensitive enough but are inadequate as an effective emergency response tool, and are far from a rapid device, simple to use out of lab. An overview of the commercially available rapid methods for Salmonella detection is provided along with a critical discussion of their limitations, benefits and potential use in a real context. The distinguished potentialities of electrochemical biosensors for the development of rapid devices are highlighted. The state-of-art and the newest technologic approaches in electrochemical biosensors for Salmonella detection are presented and a critical analysis of the literature is made in an attempt to identify the current challenges towards a complete solution for Salmonella detection in microbial food control based on electrochemical biosensors., (Copyright © 2017 Elsevier B.V. All rights reserved.)

Neuroscience is an increasingly multidisciplinary and highly cooperative field where neuroimaging plays an important role. Neuroimaging rapid evolution is demanding for a growing number of computing resources and skills that need to be put in place at every lab. Typically each group tries to setup their own servers and workstations to support their neuroimaging needs, having to learn from Operating System management to specific neuroscience software tools details before any results can be obtained from each setup. This setup and learning process is replicated in every lab, even if a strong collaboration among several groups is going on. In this paper we present a new cloud service model - Brain Imaging Application as a Service (BiAaaS) - and one of its implementation - Advanced Brain Imaging Lab (ABrIL) - in the form of an ubiquitous virtual desktop remote infrastructure that offers a set of neuroimaging computational services in an interactive neuroscientist-friendly graphical user interface (GUI). This remote desktop has been used for several multi-institution cooperative projects with different neuroscience objectives that already achieved important results, such as the contribution to a high impact paper published in the January issue of the Neuroimage journal. The ABrIL system has shown its applicability in several neuroscience projects with a relatively low-cost, promoting truly collaborative actions and speeding up project results and their clinical applicability.

To evaluate the predictor factors for non-acceptance of hepatitis B vaccine among low-income adolescent students in the Goiânia Metropolitan Region, Goiás State, Brazil. In this study, 304 HBV-susceptible individuals enrolled in two schools were interviewed, and the HBV vaccine was offered. Only 195 (64%) of adolescents accepted the first dose of vaccine. On the other hand, 182/195 (93.3%) received the full HBV vaccine scheme. School factors played a role in vaccine acceptance, as School B and night classes were independently associated with non-acceptance of hepatitis B vaccination. The findings of this study ratify the low acceptance of hepatitis B vaccine among adolescents, highlighting the need for health education programs aiming at this group for hepatitis B vaccinations, while buttressing the importance of school-based vaccination strategies for attaining full HBV immunization of this target population.

In order to asses the clinical forms of meningococcal disease, we reviewed 201 cases diagnosed as meningococcal disease in the University Hospital of the Fluminense Federal University in Rio de Janeiro, 185 of which met the inclusion criteria. Clinical and laboratorial characterization allowed for grouping of the cases as follows: meningococcal meningitis, 18%; meningitis with septicemia, 62%; and septicemia, 20%. Available epidemiological data did not differentiate clinical forms. The following were significantly greater in meningococcal meningitis: duration of clinical history; frequency of neurological manifestations; positive bacterioscopy; culture and latex test in cerebrospinal fluid. The following were significantly predominant in septicemia: shock; fatal outcome and higher partial thromboplastin time. Septicemia and meningitis with septicemia were differentiated from meningococcal meningitis in the following: duration of clinical history; occurrence of focal neurological signs; disseminated intravascular coagulation; and arthritis. Clinical and laboratory data lead us to admit meningococcal meningitis as a localized form of Meningococcal disease, and meningitis with septicemia and septicemia as variations in severity of the systemic form of the disease.