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Geostationary satellites can retrieve the cloud droplet effective radius (re) but suffer biases from cloud inhomogeneities, internal retrieval nonlinearities, and 3-D scattering/shadowing from neighboring clouds, among others. A 1-D retrieval method was applied to Geostationary Operational Environmental Satellite 13 (GOES-13) imagery, over large areas in South America (5∘ N–30∘ S; 20∘–70∘ W), the Southeast Pacific (5∘ N–30∘ S; 70∘–120∘ W), and the Amazon (2∘ N–7∘ S; 54∘–73∘ W), for four months in each year from 2014–2017. Results were compared against in situ aircraft measurements and the Moderate Resolution Imaging Spectroradiometer cloud product for Terra and Aqua satellites. Monthly regression parameters approximately followed a seasonal pattern. With up to 108,009 of matchups, slope, intercept, and correlation for Terra (Aqua) ranged from about 0.71 to 1.17, −2.8 to 2.5 μm, and 0.61 to 0.91 (0.54 to 0.78, −1.5 to 1.8 μm, 0.63 to 0.89), respectively. We identified evidence for re overestimation (underestimation) correlated with shadowing (enhanced reflectance) in the forward (backscattering) hemisphere, and limitations to illumination and viewing configurations accessible by GOES-13, depending on the time of day and season. A proposition is hypothesized to ameliorate 3-D biases by studying relative illumination and cloud spatial inhomogeneity.

Regulation of inflammation is a critical process for maintaining physiological homeostasis. The λ-carrageenan (λ-CGN) is a mucopolysaccharide extracted from the cell wall of red algae (Chondrus crispus) capable of inducing acute intestinal inflammation, which is translated into the production of acute phase reactants secreted into the blood circulation. However, the associated mechanisms in vertebrates are not well understood. Here, we investigated the crucial factors behind the inflammatory milieu of λ-CGN-mediated inflammation administered at 0, 1.75, and 3.5% (v/w) by i.p. injection into the peritoneal cavity of adult zebrafish (ZF) (Danio rerio). We found that polymorphonuclear leukocytes (neutrophils) and lymphocytes infiltrating the ZF peritoneal cavity had short-term persistence. Nevertheless, they generate a strong pattern of inflammation that affects systemically and is enough to produce edema in the cavity. Consistent with these findings, cell infiltration, which causes notable tissue changes, resulted in the overexpression of several acute inflammatory markers at the protein level. Using reversed-phase high-performance liquid chromatography followed by a hybrid linear ion-trap mass spectrometry shotgun proteomic approach, we identified 2938 plasma proteins among the animals injected with PBS and 3.5% λ-CGN. First, the bioinformatic analysis revealed the composition of the plasma proteome. Interestingly, 72 commonly expressed proteins were recorded among the treated and control groups, but, surprisingly, 2830 novel proteins were differentially expressed exclusively in the λ-CGN-induced group. Furthermore, from the commonly expressed proteins, compared to the control group 62 proteins got a significant (p<0.05) upregulation in the λ-CGN-treated group, while the remaining ten proteins were downregulated. Next, we obtained the major protein-protein interaction networks between hub protein clusters in the blood plasma of the λ-CGN induced group. Moreover, to understand the molecular underpinnings of these effects based on the unveiled protein sets, we performed a bioinformatic structural similarity analysis and generated overlapping 3D reconstructions between ZF and humans during acute inflammation. Biological pathway analysis pointed to the activation and abundance of diverse classical immune and acute phase reactants, several catalytic enzymes, and varied proteins supporting the immune response. Together, this information can be used for testing and finding novel pharmacological targets to treat human intestinal inflammatory diseases.

IntroductionThe aim of this study was to evaluate the clinical, epidemiological and laboratory aspects of SARS-CoV-2 infection during pregnancy and postpartum in 16 maternity hospitals.Methods and analysisA prospective multicentre study, with five axes. First, the prevalence of SARS-CoV-2 infection among women admitted for childbirth will be described in a cross-sectional study. Second, maternal and perinatal outcomes will be assessed in a prospective cohort study including pregnant or postpartum women with suspected COVID-19. Third, a cohort of positive COVID-19 cases with sampling of a variety of biological material. Histopathological and viral analysis of biological maternal and neonatal samples will be performed, and the assessment of nutritional variables to evaluate the association between vitamin D and severity of infection. Fourth, a monitoring and evaluation committee to collect relevant healthcare information and plan actions in centres facing the pandemic. Furthermore, qualitative studies will be performed to study pregnant women, their families and health professionals. Fifth, an ecological study will monitor the number of live births, stillbirths and other outcomes to explore any trend among the periods before, during and after the pandemic. Data will systematically be collected in an electronic platform following standardised operational procedures. For quantitative study components, an appropriate statistical approach will be used for each analysis. For qualitative data, in-depth interviews recorded in audio will be transcribed, checking the text obtained with the recording. Subsequently, thematic analysis with the aid of the NVivo programme will be performed.Ethics and disseminationEthical approval was obtained (letters of approval numbers 4.047.168, 4.179.679 and 4.083.988). All women will be fully informed to sign the consent form before enrolment in the study. Findings will be disseminated through peer-reviewed journals and scientific conferences.

AimTo investigate the prevalence of alcohol and tobacco consumption as well as behavioral and socio-demographic aspects among undergraduate students in the healthcare area of a Brazilian private university.Subjects and methodsA cross-sectional study was conducted with undergraduate students in health sciences courses, with randomized probabilistic sampling proportional to the number of students in each course. Two trained researchers, by means of a socio-demographic and behavioral questionnaire, carried out the data collection. One questionnaire related to the smoking habit and the other the Alcohol Use Disorder Identification Test. The data were entered and organized in SPSS software, version 20.0 for Windows (Statistical Package for the Social Sciences), presented through descriptive (absolute and percentage distribution) and analytic statistics.ResultsThe total sample was composed of 317 students (29.7% male and 70.3% female). The prevalence rate of nicotine consumption was 3.2% and hazardous alcohol consumption 31.9% among university students. It was verified that the habit of smoking was more prevalent among male students (p = 0.007). The hazardous use of alcohol was proportionally greater among male undergraduates (p < 0.001) in the physical education course (p = 0.003) who were smokers (p < 0.001).ConclusionThe prevalence of smoking was low, with the majority of smokers being male, while the hazardous use of alcohol among university students was high, also predominantly among males.

Many remote sensing-based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America and Europe. Model evaluation across South America has been done locally or using only a single algorithm at a time. Here, we provide the first evaluation of multiple RSBET models, at a daily scale, across a wide variety of biomes, climate zones, and land uses in South America. We used meteorological data from 25 flux towers to force four remote sensing based ET models: Priestley & Taylor Jet Propulsion Laboratory (PT-JPL), Global Land Evaporation Amsterdam Model (GLEAM), Penman-Monteith Mu model (PM-MOD), and Penman-Monteith Nagler model (PM-VI). ET was predicted satisfactorily by all four models, with correlations consistently higher (R²>0.6) for GLEAM and PT-JPL, and PM-MOD and PM-VI presenting overall better responses in terms of PBIAS (-10

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