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Bio-impedance Spectroscopy (BIS) is a technique that allows tissue analysis to diagnose a variety of diseases, such as medical imaging, cancer diagnosis, muscle fatigue detection, glucose measurement, and others under research. The development of CMOS integrated circuit front-ends for bioimpedance analysis is required by the increasing use of wearable devices in the healthcare field, as they offer key features for battery-powered wearable devices. These features include high miniaturization, low power consumption, and low voltage power supply. A key circuit in BIS systems is the current source, and one of the most common topology is the Enhanced Howland Current Source (EHCS). EHCS is also used when the current driver is driven by a pseudo-random signal like discrete interval binary sequences (DIBS), which, due to its broadband nature, requires high performance operational amplifiers. These facts lead to the need for a current source more compatible with DIBS signals, ultra-low power supply, standard CMOS integrated circuit, output current amplitude independent of input voltage amplitude, high output impedance, high load capability, high output voltage swing, and the possibility of tetra-polar BIS analysis, that is a pseudotetra-polar in the case of EHCS. The objective of this work is to evaluate the performance of the Switching CMOS Current Source (SCMOSCS) over EHCS using a Cole-skin model as a load using SPICE simulations (DC and AC sweeps and transient analysis). The SCMOSCS demonstrated an output impedance of more than 20 MΩ, a ± 2.5 V output voltage swing from a +3.3 V supply, a 275 μA current consumption, and a 10 kΩ load capacity. These results contrast with the + 1.5 V output voltage swing, the 3 kΩ load capacity, and the 4.9 mA current of the EHCS case.

This article presents the design of a seven-country study focusing on childhood vaccines, Addressing Vaccine Hesitancy in Europe (VAX-TRUST), developed during the COVID-19 pandemic. The study consists of (a) situation analysis of vaccine hesitancy (examination of individual, socio-demographic and macro-level factors of vaccine hesitancy and analysis of media coverage on vaccines and vaccination and (b) participant observation and in-depth interviews of healthcare professionals and vaccine-hesitant parents. These analyses were used to design interventions aimed at increasing awareness on the complexity of vaccine hesitancy among healthcare professionals involved in discussing childhood vaccines with parents. We present the selection of countries and regions, the conceptual basis of the study, details of the data collection and the process of designing and evaluating the interventions, as well as the potential impact of the study. Laying out our research design serves as an example of how to translate complex public health issues into social scientific study and methods., Competing Interests: Declaration of conflicting interestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

This study aimed to propose and evaluate a drug susceptibility testing (DST) using the 2,3,5-triphenyl tetrazolium chloride (TTC) as a colorimetric indicator against Mycobacterium abscessus complex (MABC), M. avium complex (MAC), and M. kansasii strains, main nontuberculous mycobacteria (NTM) of clinical relevance. Our results demonstrated that the assay using TTC and the broth microdilution method recommended by the Clinical and Laboratory Standards Institute had essential agreement above 91%, 92%, and 100%, for drugs tested against MABC, MAC, and M. kansasii strains, respectively. Categorical agreement above 91% was obtained for most drugs tested against MABC, except to cefoxitin (76.5%). For drugs tested against MAC and M. kansasii, categorical agreement above 92% and 100% was observed, respectively. TTC showed to be a promising colorimetric indicator of growth to be used in DST for NTM, allowing an easier reading of results., Competing Interests: Declaration of Competing Interest The authors report no conflicts of interest relevant to this article., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Objectives: To update nucleoside reverse transcriptase inhibitor (NRTI), nonnucleoside reverse transcriptase inhibitor (NNRTI) and protease inhibitor (PI) resistance rates and describe the frequency of HIV subtypes in a cohort of pregnant people living with HIV (PPLH) at a national Prevention of Mother-To-Child HIV Transmission (PMTCT) centre., Methods: We evaluated genotypic resistance among PPLH during prenatal care who were antiretroviral therapy-naïve or experienced. We determined mutations by the Surveillance of Drug Resistance Mutations (SDRM) dataset and also focused on studying participants with intermediate or high resistance defined through the Stanford score., Results: From 2018 to 2021, 1170 PPLH received prenatal care at the centre and 550 were genotyped. Among the 295 SDRMs, with respect to NRTI resistance mutations, there were 27/295 (9.2%) M184V/I, 14/295 (4.7%) T215Y/C/D/E/F/V/I/S and 12/295 (4.1%) M41L. For NNRTI, there were 75/295 (25.4%) K103N, 18/295 (6.1%) M230L and 14/295 (4.7%) G190A/E/S mutations. For PI, the most frequent mutations were 13/295 (4.4%) V82A/S/F/T, 12/295 (4.1%) M46I/L and 10/295 (3.4%) D30N. Based on the Stanford score, 36/224 (16%) naïve participants had one or more antiretroviral resistance mutations, 81% of whom had NNRTI resistance. In the treatment-experience group, 108/326 (33%) had one or more mutations, 91% of whom had NNRTI resistance. The most frequent HIV subtype was B (82.5%)., Conclusions: Our findings suggest that continuous surveys of HIV genotype appear to be important tools to map the distribution and evolution of HIV subtypes and resistance to provide information to support treatment policies. Furthermore, concerns about the use of rilpivirine-containing regimens underscore the importance of resistance surveillance., (© 2023 British HIV Association.)

The purpose of this study was to estimate the temporal variability of CO 2 emission (FCO 2 ) from O 2 influx into the soil (FO 2 ) in a reforested area with native vegetation in the Brazilian Cerrado, as well as to understand the dynamics of soil respiration in this ecosystem. The database is composed of soil respiration data, agroclimatic variables, improved vegetation index (EVI), and soil attributes used to train machine learning algorithms: artificial neural network (ANN) and an adaptive neuro-fuzzy inference system (ANFIS). The predictive performance was evaluated based on the mean absolute error (MEA), root mean square error (RMSE), mean absolute percentage error (MAPE), agreement index (d), confidence coefficient (c), and coefficient of determination (R 2 ). The best estimation results for validation were FCO 2 with multilayer perceptron neural network (MLP) (R 2  = 0.53, RMSE = 0.967 µmol m -2  s -1 ) and radial basis function neural network (RBF) (R 2  = 0.54, RMSE = 0.884 µmol m -2  s -1 ) and FO 2 with MLP (R 2  = 0.45, RMSE = 0.093 mg m -2  s -1 ) and RBF (R 2  = 0.74, 0.079 mg m -2  s -1 ). Soil temperature and macroporosity are important predictors of FCO 2 and FO 2 . The best combination of variables for training the ANFIS was selected based on trial and error. The results were as follows: FCO 2 (R 2  = 16) and FO 2 (R 2  = 29). In all models, FCO 2 outperformed FO 2 . A primary factor analysis was performed, and FCO 2 and FO 2 correlated best with the weather and soil attributes, respectively., (© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

To evaluate the genetic diversity and clustering rates of M. tuberculosis strains to better understand transmission among persons deprived of liberty (PDL) in Rio Grande do Sul (RS), southern Brazil. This is a cross-sectional study, including strains of M. tuberculosis isolated from PDL, stored at the Central Laboratory of RS, in the period from 2013 to 2018. The molecular characterization was performed using the MIRU-VNTR 15 loci method. A total of 598 M. tuberculosis strains were genotyped, and 37.5% were grouped into 53 clusters. Cluster sizes ranged from 2 to 34 strains. The largest cluster of the study had strains from 34 PDL, and 58.8% of the PDL of this cluster were in P01. Among the clusters formed, in 60.3%, there was at least one strain from P01. The most common strains in RS were LAM (53.2%) and Haarlem (31.1%). The LAM strain was the most likely to form clusters, and Haarlem was associated with anti-TB drug resistance. This was translational research, and the results can collaborate with the TB control programs, leading to improved strategies that allow the reduction of the TB burden in prisons., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Invasive meningococcal disease (IMD) is a major cause of meningitis and septicaemia worldwide. Changes in serogroup predominance contribute to the unpredictable nature of the disease, with significant health impact. This study aimed to determine the epidemiological profile of IMD in Rio Grande do Sul, Santa Catarina and Paraná, three states in southern Brazil. We analysed 1024 IMD cases that had been confirmed by clinical and/or laboratory criteria and reported to the national information system for notifiable diseases between 2015 and 2019. Additionally, we calculated the proportions of serogroup and incidence by age. Of 1024 cases, 562 (55 %) were caused by serogroup C. Furthermore, serogroup W was responsible for almost half of the cases among children younger than 5 years between 2017 and 2018, with an overall incidence of 1.5 cases/100 000 infants. IMD remains a significant healthcare issue in southern Brazil despite reduced serogroup C incidence after the introduction of the meningococcal C conjugate vaccine into the childhood immunization programme. Changes in disease epidemiology were observed, and serogroup W was the most common serogroup among children younger than 5 years in 2017 and 2018. Although future cost-effectiveness studies are necessary, our results could have future implications for meningococcal vaccination programmes.

Amburana cearensis leaves have been used in folk medicine to treat respiratory diseases and inflammations. This study aimed to evaluate the biological potential of A. cearensis leaves by antioxidant and in vitro cytogenotoxic analyses of ethanolic crude extract (EE) and its fractions in healthy human cells. The EE was obtained by percolation, followed by fractionation using dichloromethane, cyclohexane, ethyl acetate (EtOAc), and methanol (MeOH) as organic solvents. Extract and all fractions were evaluated for their antioxidant potential by DPPH and reducing power tests. In vitro cytotoxic activity was determined in human peripheral blood mononuclear cells by MTT assay for the extract, EtOAc and MeOH fractions. In turn, the genotoxic activity was determined in human lymphocytes by the Cytokinesis Block Micronucleus assay only for the EtOAc fraction. Only EtOAc fraction was analyzed via gas chromatography coupled to mass spectrometry due to its higher biological activity. Considering the antioxidant potential, the EtOAc fraction was most effective in DPPH (EC 50 43.37 µg/mL) and reducing power (EC 50 89.80 µg/mL) assays. GC-MS analysis of the EtOAc fraction led to the identification of guaiacol, 2,3-dihydro-benzofuran, 2-methoxy-4-vinylphenol, isovanillic acid methyl ester, 4-hydroxybenzaldehyde, and 4-(ethoxymethyl)-phenol. The EE (400-1000 µg/mL), EtOAc (≤150 µg/mL) and MeOH (50 and 150-600 µg/mL) fractions were not cytotoxic by MTT test. Additionally, the EtOAc fraction (100-400 µg/mL) did not induce significant genotoxic damage. Concentrations of the EtOAc fraction with antioxidant activity showed no cytotoxicity, nor genotoxicity potential, indicating them as a nontoxic natural antioxidant source.

Fear is a reaction that can influence multiple aspects of health and life. During the Covid-19 pandemic, there have been serious pathophysiological, social, behavioral and mental consequences that can be related to fear. This study aimed to assess the fear of Covid-19 and its association with sociodemographic, behavioral and health variables. Data were gathered from two cross-sectional population-based studies conducted in 2020 with adults from two cities from Southern Brazil. The Fear of Covid-19 scale was used to evaluate fear of Covid. Exposure variables were socioeconomic, demographic, health and pandemic-related factors. Adjusted Poisson regression was performed to assess the association between fear of Covid-19 and the exposure variables. A total of 2,152 subjects were assessed. Higher fear of Covid-19 was found among women and in individuals with symptoms of Covid-19. Living alone, being richer, and testing positive for Covid-19 were associated with lower prevalence of fear. Higher prevalence of fear of Covid-19 was related to worse sleep quality, worse health perception, sadness, higher stress, depressive symptoms, and suicidal ideation. There was a linear association between fear of Covid-19 and health outcomes. The results provide evidence that fear of Covid-19 seems to be associated with socioeconomic, demographic, health and pandemic-related factors., (Copyright © 2022. Published by Elsevier B.V.)

Background: Many significant ecosystems, including important non-forest woody ecosystems such as the Cerrado (Brazilian savannah), are under threat from climate change, yet our understanding of how increasing temperatures will impact native vegetation remains limited. Temperature manipulation experiments are important tools for investigating such impacts, but are often constrained by access to power supply and limited to low-stature species, juvenile individuals, or heating of target organs, perhaps not fully revealing how entire or mature individuals and ecosystems will react to higher temperatures., Results: We present a novel, modified open top chamber design for in situ passive heating of whole individuals up to 2.5 m tall (but easily expandable) in remote field environments with strong solar irradiance. We built multiple whole-tree heating structures (WTHSs) in an area of Cerrado around native woody species Davilla elliptica and Erythroxylum suberosum to test the design and its effects on air temperature and humidity, while also studying the physiological responses of E. suberosum to short-term heating. The WTHSs raised internal air temperature by approximately 2.5 °C above ambient during the daytime. This increased to 3.4 °C between 09:00 and 17:00 local time when thermal impact was greatest, and during which time mean internal temperatures corresponded closely with maximum ambient temperatures. Heating was consistent over time and across WTHSs of variable size and shape, and they had minimal effect on humidity. E. suberosum showed no detectable response of photosynthesis or respiration to short-term experimental heating, but some indication of acclimation to natural temperature changes., Conclusions: Our WTHSs produced a consistent and reproducible level of daytime heating in line with mid-range climate predictions for the Cerrado biome by the end of the century. The whole-tree in situ passive heating design is flexible, low-cost, simple to build using commonly available materials, and minimises negative impacts associated with passive chambers. It could be employed to investigate the high temperature responses of many understudied species in a range of complex non-forest environments with sufficient solar irradiance, providing new and important insights into the possible impacts of our changing climate., (© 2022. The Author(s).)