ABSTRACT The objective of this study was to evaluate the ecophysiological aspects and biomass production of three soybean genotypes subjected to soil flooding in the vegetative and/or reproductive stages. The design adopted was completely randomized with 5 replications, in a 3 x 3 factorial arrangement, with three soybean genotypes: PELBR 17-46, PELBR 15-7016, and 75I77RSF IPRO; and three water treatment conditions: soil flooding for 10 days in the vegetative period + 10 days in the reproductive period; soil flooding for 10 days only in the reproductive period, and the control treatment, where the soil was maintained at 70% of field capacity. There was a reduction in the relative water content for the PELBR 15-7016 and PELBR 17-46 genotypes in the vegetative/reproductive stages and in the reproductive stage, while for the 75I77RSF IPRO there was no difference. The levels of chlorophyll a, chlorophyll b, and total chlorophyll were reduced only for the PELBR 15-7016 and 75I77RSF IPRO genotypes. The dry matter in the leaves and roots was lower for PELBR 17-46 and PELBR 15-7016 when subjected to stress in the R2 soybean stage and for the grain production. PELBR 17-46 and PELBR 15-7016 genotypes are more susceptible to stress, while the 75I77RSF IPRO showed mechanisms to overcome waterlogging stress. andor or replications arrangement 1746, 1746 17 46, 46 157016, 157016 15 7016, 7016 IRSF I RSF conditions 1 70 capacity 15-701 17-4 vegetativereproductive difference b R 174 4 15701 701 7 15-70 17- 1570 15-7 157 15-

RESUMO O objetivo deste trabalho foi avaliar aspectos ecofisiológicos e produção de biomassa de genótipos de soja submetidos ao alagamento do solo nas fases vegetativa e/ou reprodutiva. O delineamento adotado foi o inteiramente casualizado com 5 repetições, em arranjo fatorial 3 x 3, com três genótipos de soja: PELBR 17-46, PELBR 15-7016 e 75I77RSF IPRO; e três condições de tratamento de água: alagamento do solo por 10 dias no período vegetativo + 10 dias no período reprodutivo; alagamento do solo por 10 dias apenas no período reprodutivo, e o tratamento testemunha, onde o solo foi mantido a 70% da capacidade de campo. Houve redução no teor relativo de água para os genótipos PELBR 15-7016 e PELBR 17-46 no vegetativo/reprodutivo e no reprodutivo, enquanto para 75I77RSF IPRO não houve diferença. Os teores de clorofila a, b e total foram reduzidos apenas para os genótipos PELBR 15-7016 e 75I77RSF IPRO. A matéria seca nas folhas e raízes foram menores para PELBR 17-46 e sensíveis quando submetidos ao estresse no estádio R2 da soja e para a produção de grãos. Os genótipos PELBR 17-46 e PELBR 15-7016 são mais suscetíveis ao estresse, enquanto o 75I77RSF IPRO apresentou mecanismos para superar o estresse por encharcamento. eou ou reprodutiva repetições 1746, 1746 17 46, 46 157016 15 7016 15-701 IRSF I RSF 1 reprodutivo testemunha 70 campo 17-4 vegetativoreprodutivo diferença R grãos encharcamento 174 4 15701 701 15-70 7 17- 1570 15-7 157 15-

Abstract This study aimed to select recombinant lines and explore phenotypic and genotypic correlations using BLUP. It was conducted in Capão do Leão/RS during two years, in an incomplete block design with intercalary controls, with four replications. 131 and 128 RILs were tested in the F6 in the F7 generations, respectively. Plant height; days to flowering; panicle length; number of panicles per plant; number of fertile and sterile spikelets per panicle; one hundred grains weight; yield per plant; broken, chalky, white-belly and red-streaked grains; vitreous whiteness; gelatinization temperature; and apparent amylose content were obtained. According to the study, line F105 is an elite line for improving grain quality, exhibiting high amylose content (27.041%). Canonical (r=0.817), phenotypic (0.541) and genotypic (0.808) correlations inferred that groups of grain quality and agronomic traits were not independent and there was a tendency for the amylose content to be associated with grain yield. BLUP LeãoRS Leão RS years controls replications 13 12 F generations respectively height flowering length plant weight broken chalky whitebelly white belly redstreaked red streaked whiteness temperature obtained F10 27.041%. 27041 27.041% . 27 041 (27.041%) r=0.817, r0817 r r=0.817 , 0 817 (r=0.817) 0.541 0541 541 (0.541 0.808 0808 808 (0.808 1 F1 2704 27.041 2 04 (27.041% r081 r=0.81 81 (r=0.817 0.54 054 54 (0.54 0.80 080 80 (0.80 270 27.04 (27.041 r08 r=0.8 8 (r=0.81 0.5 05 5 (0.5 0.8 08 (0.8 27.0 (27.04 r0 r=0. (r=0.8 0. (0. 27. (27.0 r=0 (r=0. (0 (27. r= (r=0 ( (27 (r= (2 (r

Abstract This analytical cross-sectional study aimed to analyze the access of patients with special needs (PSN) in Brazilian municipalities to hospital dental care of the Unified Health System (Sistema Único de Saúde - SUS), based on data from the Hospital Information System of the Unified Health System (Sistema de Informações Hospitalares do SUS- SIH/SUS - SIH), from 2010 to 2018. The Kolmogorov-Smirnov normality test was performed; the Poisson regression was used to verify factors associated with the variable total number of hospitalization authorizations with the main procedure of dental treatment for PSN (“Total de Autorizações de Internação Hospitalar” – AIH), the Spearman correlation test with a significance level of 5% was used to characterize the relationships between the Municipal Human Development Index per municipality - (Índice de Desenvolvimento Humano Municipal - HDI) and the Oral Health Coverage in the Family Health Strategy by municipality (Cobertura de saúde bucal na estratégia saúde da família por município - SBSF Coverage), and the relationship of the AIH with SBSF Coverage. A total of 127,691 procedures were performed, of which 71,517 (56%) were clinical procedures, such as restorations, endodontic treatments, supra and subgingival scaling, among others. Municipalities in the Midwest (PR=5.117) and Southeast (RP = 4.443) regions had more precedures than the others. A weak correlation was found between AIH and SBSF Coverage (r = -0.2, p < 0.001) and HDI and SBSF Coverage (r = -0.074, p < 0.001). Population size, region, health coverage, oral hygiene, and number of dentists in hospitals affected the availability of dental procedures in PSN. crosssectional cross sectional (PSN Sistema SUS, SUS , SUS) SIHSUS SIH SIH, SIH) 201 2018 KolmogorovSmirnov Kolmogorov Smirnov performed Total Hospitalar AIH, AIH) 5 Índice Cobertura Coverage, Coverage) 127691 127 691 127,69 71517 71 517 71,51 56% 56 (56% restorations treatments scaling others PR=5.117 PR5117 PR 117 (PR=5.117 RP 4.443 4443 4 443 r 0.2, 02 0 2 -0.2 0.001 0001 001 0.074, 0074 074 -0.074 0.001. . size region coverage hygiene 20 12769 12 69 127,6 7151 7 51 71,5 (56 PR=5.11 PR511 11 (PR=5.11 4.44 444 44 0.2 -0. 0.00 000 00 0.074 007 07 -0.07 1276 1 6 127, 715 71, (5 PR=5.1 PR51 (PR=5.1 4.4 0. -0 0.0 0.07 -0.0 ( PR=5. PR5 (PR=5. 4. PR=5 (PR=5 PR= (PR= (PR

ABSTRACT This article seeks to deepen the understanding of sustained competitive advantages built through strategies of R&D investments, and patents and trademarks registrations by Big Pharma, within the framework of the three main activity clusters related to dynamic capabilities: sensing, seizing, and transforming. The use of this framework contributes to the comprehension of the strategies of R&D, patents, and trademarks by Big Pharma in creating sustained competitive advantages and in the endurance and stability of these companies as industry leaders. The identification of R&D opportunities emerging from the public sector, the ability to leverage identified opportunities through organizational competencies and consistent strategies for resource transformation – such as evergreening –, and brand building have been recognized as significant components of the dynamic capabilities of the firms that enable the creation and maintenance of sustained competitive advantages. RD R D investments sensing seizing transforming leaders sector

RESUMO O presente artigo busca aprofundar o entendimento das vantagens competitivas sustentadas construídas através das estratégias de investimentos em P&D e de registros de patentes e trademarks pela Big Pharma, à luz dos três grupos de atividades principais relacionados às capacitações dinâmicas: identificar, aproveitar e transformar. A utilização deste arcabouço contribui para o entendimento das estratégias de P&D, patentes e trademarks pela Big Pharma na criação de vantagens competitivas sustentáveis e na permanência e estabilidade dessas empresas como líderes do setor. A identificação de oportunidades de P&D que despontam do setor público, a capacidade de aproveitar as oportunidades identificadas através de competências organizacionais e as estratégias constantes de transformação de recursos – como o evergreening – e a construção de marcas fortes foram identificadas como parte importante das capacitações dinâmicas dessas firmas que possibilitam a criação e manutenção de vantagens competitivas sustentáveis. PD P D identificar transformar público

Abstract The spore wall of Riccia plano-biconvexa, R. fruchartii, R. cavernosa, R. stenophylla, and R. curtisii was analyzed using light microscopy. The study involved cytochemical analysis to distinguish the different layers of the sporoderm and assess their chemical composition. In all the species studied, the sporoderm was found to have a tri-layered exine, consisting of a lamellar exine 1 that forms ridges and depressions, an intermediate exine 2, and a thick and generally discontinuous exine 3. Cytochemical studies indicated that exine 1 and 2 are composed of sporopollenin, while exine 3 is a mixture of sporopollenin and polysaccharides. The intine, on the other hand, is the only layer that is purely cellulosic and contains pectins. Based on the chemical composition and structural organization, exine 1 and 2 can be categorized as ectexine while exine 3 corresponds to an endexine. We emphasize the importance of using cytochemical tests to study the spore wall in liverworts and other bryophytes. planobiconvexa, planobiconvexa plano biconvexa, biconvexa plano-biconvexa R fruchartii cavernosa stenophylla microscopy studied trilayered tri layered depressions polysaccharides intine hand pectins organization endexine bryophytes

Resumo Os esporos de Riccia plano-biconvexa, R.fruchartii, R. cavernosa, R. stenophylla and R. curtisii foram analisados sob microscopia de luz. O estudo citoquímico foi realizado para distinguir as diferentes camadas do esporoderma e para determinar a sua natureza química. O esporoderma de todas as espécies estudadas apresenta uma exina com três camadas, composta por uma exina 1, lamelar, que forma cristas e depressões, uma exina 2, intermediária, e uma exina 3, espessa e geralmente descontínua. Os testes citoquímicos indicam que as exinas 1 e 2 são compostas por esporopolenina, enquanto a exina 3 é uma mistura de esporopolenina e polissacarídeos. A intina é a única camada só celulósica, além de conter pectinas. Com base na composição química e na organização estrutural, as exinas 1 e 2 podem ser agrupadas numa ectexina, enquanto a exina 3 corresponde a uma endexina. Nós ressaltamos a importância do uso de testes citoquímicos para o estudo da parede de esporos em hepáticas e outras briófitas. planobiconvexa, planobiconvexa plano biconvexa, biconvexa plano-biconvexa Rfruchartii R fruchartii R.fruchartii cavernosa luz lamelar depressões intermediária descontínua polissacarídeos celulósica pectinas estrutural ectexina endexina briófitas

Abstract A simple, rapid, precise, accurate and sustainable spectrofluorimetric method (SFM) was developed, validated and applied for the determination of 4-aminobenzoic acid and aromatic amino acids (phenylalanine, tryptophan and tyrosine). These compounds are used in biopharmaceutical formulations and therefore must be analyzed by quality control laboratories to meet the criteria established in pharmacopoeias. In general, potentiometric titration (PT) is described in the compendia as the official analytical technique. However, this method showed low sensitivity and selectivity, and moreover was performed with a non-aqueous solvent (acetic acid), which led to higher consumption of reagents and consequently to the formation of residues. Therefore, the SFM was developed in aqueous medium at pH 7.2 using phosphate buffer. It was successfully validated according to the ICH guidelines and showed good linearity range (r>0.999), specificity, accuracy and precision (within and between days) and robustness. The test results were compared between the SFM and PT using raw material samples, while according to the F- and t-tests at 95% confidence level, no statistical difference was found between the methods. simple rapid precise (SFM 4aminobenzoic aminobenzoic 4 phenylalanine, phenylalanine (phenylalanine tyrosine. tyrosine . tyrosine) pharmacopoeias general (PT technique However selectivity nonaqueous non acetic acid, , acid) residues Therefore 72 7 2 7. buffer r>0.999, r0999 r r>0.999 0 999 (r>0.999) specificity within days robustness samples F ttests t tests 95 level methods r099 r>0.99 99 (r>0.999 9 r09 r>0.9 (r>0.99 r0 r>0. (r>0.9 r>0 (r>0. r> (r>0 (r> (r

In this work we described the synthesis and characterization of a series of novel chiral 1,5-diamines derived from (R)-(+)-camphor through simple procedures in moderate to good yields. These new enantiopure compounds constitute a new family of chiral diamines with potential applicability as chiral building blocks, bioactive products or chiral ligands for asymmetric transformations. 1,5diamines 15diamines 1,5 1 5 R+camphor Rcamphor R + camphor yields blocks transformations 5diamines 15 1,

BACKGROUND Leprosy is a highly neglected disease that is considered a serious public health problem in many countries. This illness is characterised by a variety of clinical and histopathological manifestations that are related to the patient immune response. OBJECTIVES This work aimed evaluate the profile of circulating immune mediators in the plasma from patients classified clinically as paucibacillary (PB), multibacillary (MB), households contacts (HHC), type1 leprosy reaction (T1R), type2 leprosy reaction (T2R) and control individuals without medical history of leprosy (CTL). METHODS To assessment of the plasma immune mediators was used multiplex microbeads immunoassay “Luminex”. FINDINGS The results showed that patients (PB) had a regulatory-biased profile, while MB revealed a pro-inflammatory trend of highly expressed biomarkers. HHC display conspicuously increased levels in the plasma of the chemokines (CCL2, CCL3, CCL4, CCL5 and CXCL8), pro-inflammatory cytokines (IFN-γ,TNF and IL-1β), modulating cytokines (IL-9 and IL-1Ra) and growth factors (PDGF, G-CSF and IL-2). Interestingly, HHC displayed superior production of IFN-γ as compared to other leprosy groups, indicating a putative protective role for this cytokine during chronic Mycobacterium leprae exposure. MAIN CONCLUSION Further investigations are currently underway to elucidate the potential of these mediators as biomarkers applicable to the diagnosis/prognosis of leprosy and also T1R and T2R leprosy reactions. countries response PB, PB , MB, (MB) HHC, (HHC) type T1R, TR T R (T1R) (T2R CTL. CTL . (CTL) Luminex. Luminex “Luminex” (PB regulatorybiased regulatory biased proinflammatory pro inflammatory CCL2, CCL2 CCL (CCL2 CCL3 CCL4 CXCL8, CXCL8 CXCL CXCL8) IFNγ,TNF IFNγTNF IFN γ,TNF γ TNF IL1β, IL1β ILβ IL 1β β IL-1β) IL9 9 (IL- IL1Ra ILRa 1Ra Ra IL-1Ra PDGF, PDGF (PDGF GCSF G CSF IL2. IL2 2 IL-2) Interestingly IFNγ groups exposure diagnosisprognosis diagnosis prognosis reactions (MB (HHC (T1R (CTL “Luminex (CCL γTNF IL-1β (IL IL-2 IL-

ABSTRACT. The increasing use of genomic selection (GS) in plant and animal breeding programs has led to the development of software that fits models based on unique scenarios. Accordingly, several R packages have been developed for GS. The lmekin function from the coxme R package was one of the first functions implemented in R to fit models with random family effects using the pedigree-based relationship matrix. The function allows the user to provide the covariance structures for the random effects; thus, the GBLUP model can be fitted. This fitting process consists of replacing, in the traditional BLUP model, the additive relationship matrix derived from a pedigree by the additive relationship matrix derived from markers. Thus, the objective of this study was to employ the lmekin function in the context of genomic prediction by comparing the results of this function with those obtained using five R packages for GS: rrBLUP, BGLR, sommer, lme4qtl, and lme4GS. The comparisons were performed considering the computational times and predicted values for a wheat dataset and simulated big data. In addition, we implemented a 5-fold cross-validation scheme through considering the values predicted by the lmekin function for the wheat dataset. The results indicated that the lmekin function was effective in predicting genomic breeding values considering multiple random effects and relatively small sample sizes. The rrBLUP package processed the fastest for the scenario with only one genetic random effect, and the high temporal efficiency of the sommer package was confirmed for the scenario with more than one genetic random effect. Differences in computational times occurred because of the different algorithms implemented in the packages to estimate the variance components. ABSTRACT GS (GS scenarios Accordingly pedigreebased thus fitted replacing markers Thus BGLR lme4qtl lmeqtl lme qtl lme4GS lmeGS data addition 5fold fold 5 crossvalidation cross validation sizes effect components

ABSTRACT The standardized precipitation (SPI) and standardized precipitation-evapotranspiration (SPEI) indices are important tools for monitoring drought events, but the low density of weather station networks limits their use in many regions. To address this issue, we developed the PowerSDI R-package, which calculates these two indices using gridded-data from the NASA-POWER project (NASA-SPI and NASA-SPEI). Different from other packages, the PowerSDI package has two modes: the scientific, and the operational. In the scientific mode, the users may assess the quality of the indices estimates through their agreement with a reference/observed series and through the evaluation of how well these estimates meet the conceptual assumptions required for calculating both SPI and SPEI. This evaluation is based on measure of accuracy (e.g., Willmott index of agreement), goodness-of-fit tests (e.g., Anderson-Darling), and normality tests (e.g., Shapiro-Wilk’s test), which are calculated by the ScientSDI.R, Reference.R, and Accuracy.R functions. In the operational mode, users can calculate both indices routinely using the OperatSDI.R function. The package also uses a quasi-weekly time scale, allowing for index calculations four times a month. The OperatSDI.R enables users to download NASA-POWER data for all available period or only for the quasi-week they intend to monitor (reducing the function’s running time). In short, the PowerSDI facilitates the routine use of these two widely used drought indices and, unlike others existing software, it provides a solid scientific basis for using NASA-POWER data in drought monitoring systems, which can help improve drought preparedness and response efforts worldwide. The package is freely available at two repositories: Github (https://github.com/gabrielblain/PowerSDI), and CRAN (https://CRAN.R-project.org/package=PowerSDI). (SPI precipitationevapotranspiration evapotranspiration SPEI (SPEI events regions issue Rpackage, Rpackage R package, R-package griddeddata gridded NASAPOWER NASA POWER NASASPI NASASPEI. NASASPEI . NASA-SPEI) packages modes mode referenceobserved reference observed e.g., eg e g (e.g. agreement, , agreement) goodnessoffit goodness fit AndersonDarling, AndersonDarling Anderson Darling Anderson-Darling) ShapiroWilks Shapiro Wilk s test, test test) ScientSDIR ScientSDI ScientSDI.R ReferenceR Reference Reference.R AccuracyR Accuracy functions OperatSDIR OperatSDI function quasiweekly quasi weekly scale month quasiweek week reducing time. time) short software systems worldwide repositories https//github.com/gabrielblain/PowerSDI, httpsgithubcomgabrielblainPowerSDI https //github.com/gabrielblain/PowerSDI github com gabrielblain (https://github.com/gabrielblain/PowerSDI) https//CRAN.Rproject.org/package=PowerSDI. httpsCRANRprojectorgpackagePowerSDI //CRAN.R project.org/package=PowerSDI org (https://CRAN.R-project.org/package=PowerSDI) NASA-SPEI e.g. (e.g Anderson-Darling https//github.com/gabrielblain/PowerSDI githubcomgabrielblainPowerSDI (https://github.com/gabrielblain/PowerSDI Rproject https//CRAN.Rproject.org/package=PowerSDI CRANR projectorgpackagePowerSDI (https://CRAN.R-project.org/package=PowerSDI e.g

Abstract This cross-sectional study investigated the association of SNPs rs670 (C>T) and rs693 (G>A) with parameters of lipid metabolism and endothelial activation in 167 subjects, including 86 COVID-19 outpatients and 81 healthy subjects (control group) matched for sex and age. Serum levels of total cholesterol (TC), high-density lipoprotein cholesterol (HDL-c), low-density lipoprotein cholesterol (LDL-c), non-high-density lipoprotein cholesterol (non-HDL-c), triglycerides (TG), apolipoproteins (Apo A-I and B), and vascular cell adhesion molecule-1 (VCAM-1) were determined. The SNPs were genotyped by quantitative polymerase chain reaction (qPCR). A p -value<0.05 was assumed. COVID-19 outpatients showed increases in TC (187.0±48.3 vs . 160.8±32.0 mg/dL), LDL-c (110.3±41.5 vs . 98.8±28.2 mg/dL), non-HDL-c (138.3±45.8 vs . 115.6±31.6 mg/dL), TG (139.7±80.3 vs . 84.9±35.1 mg/dL), and Apo A-I (149.5±40.0 vs . 133.3±20.9 mg/dL), along with a high frequency of hypercholesterolemia and hypertriglyceridemia. VCAM-1 levels were double those of the control (682.7±231.8 vs. 299.3±102.9 ng/mL) and a strong predictor of COVID-19 (AUC=0.946). Moreover, VCAM-1 correlated with TC (r = -0.223) and HDL-c (r = -0.225). The decrease in TG and VCAM-1 is predicted by the dominance of the T allele (rs670) and its codominance with the A (rs693) allele in COVID-19 outpatients. COVID-19 has been shown to be associated with dyslipidemias and endothelial activation, and apolipoprotein polymorphisms may influence this. crosssectional cross sectional rs rs67 C>T CT C (C>T rs69 G>A GA G (G>A 16 8 COVID19 COVID 19 COVID-1 group age TC, , (TC) highdensity density HDLc, HDLc HDL c (HDL-c) lowdensity low LDLc, LDLc LDL (LDL-c) nonhighdensity non nonHDLc, nonHDLc (non-HDL-c) TG, (TG) AI I B, B B) molecule1 molecule 1 molecule- VCAM1 VCAM (VCAM-1 determined qPCR. qPCR (qPCR) value<0.05 value005 value 0 05 -value<0.0 assumed 187.0±48.3 1870483 187 48 3 (187.0±48. 1608320 160 32 160.8±32. mg/dL, mgdL mg/dL mg dL mg/dL) 110.3±41.5 1103415 110 41 5 (110.3±41. 988282 98 28 2 98.8±28. 138.3±45.8 1383458 138 45 (138.3±45. 1156316 115 6 31 115.6±31. 139.7±80.3 1397803 139 7 80 (139.7±80. 849351 84 9 35 84.9±35. 149.5±40.0 1495400 149 40 (149.5±40. 1333209 133 20 133.3±20. hypertriglyceridemia VCAM- 682.7±231.8 68272318 682 231 (682.7±231. 29931029 299 102 299.3±102. ng/mL ngmL ng mL AUC=0.946. AUC0946 AUC AUC=0.946 946 (AUC=0.946) Moreover r 0.223 0223 223 -0.223 0.225. 0225 0.225 225 -0.225) (rs670 (rs693 this rs6 COVID1 COVID- (TC (HDL-c (LDL-c (non-HDL-c (TG (VCAM- (qPCR value<0.0 value00 -value<0. 187.0±48. 187048 18 4 (187.0±48 160832 160.8±32 110.3±41. 110341 11 (110.3±41 98828 98.8±28 138.3±45. 138345 13 (138.3±45 115631 115.6±31 139.7±80. 139780 (139.7±80 84935 84.9±35 149.5±40. 149540 14 (149.5±40 133320 133.3±20 682.7±231. 6827231 68 23 (682.7±231 2993102 29 10 299.3±102 AUC094 AUC=0.94 94 (AUC=0.946 0.22 022 22 -0.22 -0.225 (rs67 (rs69 (VCAM value<0. value0 -value<0 187.0±48 18704 (187.0±4 16083 160.8±3 110.3±41 11034 (110.3±4 9882 98.8±2 138.3±45 13834 (138.3±4 11563 115.6±3 139.7±80 13978 (139.7±8 8493 84.9±3 149.5±40 14954 (149.5±4 13332 133.3±2 682.7±231 682723 (682.7±23 299310 299.3±10 AUC09 AUC=0.9 (AUC=0.94 0.2 02 -0.2 (rs6 value<0 -value< 187.0±4 1870 (187.0± 1608 160.8± 110.3±4 1103 (110.3± 988 98.8± 138.3±4 1383 (138.3± 1156 115.6± 139.7±8 1397 (139.7± 849 84.9± 149.5±4 1495 (149.5± 1333 133.3± 682.7±23 68272 (682.7±2 29931 299.3±1 AUC0 AUC=0. (AUC=0.9 0. -0. (rs value< -value 187.0± (187.0 160.8 110.3± (110.3 98.8 138.3± (138.3 115.6 139.7± (139.7 84.9 149.5± (149.5 133.3 682.7±2 6827 (682.7± 2993 299.3± AUC=0 (AUC=0. -0 187.0 (187. 160. 110.3 (110. 98. 138.3 (138. 115. 139.7 (139. 84. 149.5 (149. 133. 682.7± (682.7 299.3 AUC= (AUC=0 - 187. (187 110. (110 138. (138 139. (139 149. (149 682.7 (682. 299. (AUC= (18 (11 (13 (14 682. (682 (AUC (1 (68 ( (6

ABSTRACT We report the occurrence of Tapanhuacanga campinorum in the Parque Estadual do Cristalino, in the State of Mato Grosso, Central-West Brazil. This represents the first record of the genus in this State and the species in this region of the country, since T. campinorum was known only from the Amazonian campinas vegetation in the States of Amazonas and Pará, in the northern region of Brazil. We further comment on the distribution, conservation, and taxonomic aspects of this species. Cristalino Grosso CentralWest Central West Brazil country T Pará distribution conservation

RESUMO Relatamos a ocorrência de Tapanhuacanga campinorum no Parque Estadual do Cristalino, no Estado do Mato Grosso, Centro-Oeste do Brasil. Este representa o primeiro registro do gênero neste estado e da espécie nesta região do país, já que T. campinorum era conhecida apenas das vegetações de campinas amazônicas dos Estados do Amazonas e Pará, na região Norte do Brazil. Comentamos ainda sobre a distribuição, conservação e aspectos taxonômicos desta espécie. Cristalino Grosso CentroOeste Centro Oeste Brasil país T Pará Brazil distribuição

Resumen: Brotes de síndrome respiratorio agudo grave (SRAG) ocurren todos los años, con picos estacionales que varían entre regiones geográficas. La notificación de los casos es importante para preparar las redes de atención a la salud para el cuidado y hospitalización de los pacientes. Por lo tanto, los gestores de salud deben tener herramientas adecuadas de planificación de recursos para las temporadas de SRAG. Este estudio tiene el objetivo de predecir brotes de SRAG con base en modelos generados con aprendizaje automático utilizando datos de hospitalización por SRAG. Se incluyeron datos sobre casos de hospitalización por SRAG en Brasil desde 2013 hasta 2020, salvo los casos causados por la COVID-19. Se prepararon estos datos para alimentar una red neural configurada para generar modelos predictivos para series temporales. Se implementó la red neural con una herramienta de canalización. Se generaron los modelos para las cinco regiones brasileñas y se validaron para diferentes años de brotes de SRAG. Con el uso de redes neurales, se pudo generar modelos predictivos para los picos de SRAG, el volumen de casos por temporada y para el inicio del periodo pre-epidémico, con una buena correlación de incidencia semanal (R2 = 0,97; IC95%: 0,95-0,98, para la temporada de 2019 en la Región Sudeste). Los modelos predictivos tuvieron una buena predicción del volumen de casos notificados de SRAG; así, se observaron 9.936 casos en 2019 en la Región Sur, y la predicción de los modelos mostró una mediana de 9.405 (IC95%: 9.105-9.738). La identificación del periodo de ocurrencia de un brote de SRAG es posible a través de modelos predictivos generados con el uso de redes neurales y algoritmos que aplican series temporales. Resumen (SRAG geográficas pacientes tanto 201 2020 COVID19. COVID19 COVID 19. 19 COVID-19 temporales canalización preepidémico, preepidémico pre epidémico, epidémico pre-epidémico R2 R (R 0,97 097 0 97 IC95% IC95 IC 0,950,98, 095098 0,95 0,98, 95 98 0,95-0,98 Sudeste. Sudeste . Sudeste) así 9936 9 936 9.93 Sur 9405 405 9.40 (IC95% 9.1059.738. 91059738 9.105 9.738 105 738 9.105-9.738) 20 202 COVID1 1 COVID-1 0,9 09 IC9 950 0,950,98 09509 095 098 0,98 0,95-0,9 993 93 9.9 940 40 9.4 (IC95 1059 9.1059.738 9105973 9105 9.10 9738 9.73 10 73 9.105-9.738 2 COVID- 0, 0,950,9 0950 0,95-0, 99 9. 94 4 (IC9 9.1059.73 910597 910 9.1 973 9.7 7 9.105-9.73 0,950, 0,95-0 (IC 9.1059.7 91059 91 9.105-9.7 0,950 0,95- 9.1059. 9.105-9. 9.1059 9.105-9 9.105-

Abstract: Severe acute respiratory infection (SARI) outbreaks occur annually, with seasonal peaks varying among geographic regions. Case notification is important to prepare healthcare networks for patient attendance and hospitalization. Thus, health managers need adequate resource planning tools for SARI seasons. This study aims to predict SARI outbreaks based on models generated with machine learning using SARI hospitalization notification data. In this study, data from the reporting of SARI hospitalization cases in Brazil from 2013 to 2020 were used, excluding SARI cases caused by COVID-19. These data were prepared to feed a neural network configured to generate predictive models for time series. The neural network was implemented with a pipeline tool. Models were generated for the five Brazilian regions and validated for different years of SARI outbreaks. By using neural networks, it was possible to generate predictive models for SARI peaks, volume of cases per season, and for the beginning of the pre-epidemic period, with good weekly incidence correlation (R2 = 0.97; 95%CI: 0.95-0.98, for the 2019 season in the Southeastern Brazil). The predictive models achieved a good prediction of the volume of reported cases of SARI; accordingly, 9,936 cases were observed in 2019 in Southern Brazil, and the prediction made by the models showed a median of 9,405 (95%CI: 9,105-9,738). The identification of the period of occurrence of a SARI outbreak is possible using predictive models generated with neural networks and algorithms that employ time series. Abstract (SARI annually Thus seasons 201 202 used COVID19. COVID19 COVID 19. 19 COVID-19 series tool preepidemic pre epidemic R2 R (R 0.97 097 0 97 95%CI 95CI CI 95 0.950.98, 095098 0.95 0.98, 98 0.95-0.98 Brazil. . Brazil) accordingly 9936 9 936 9,93 9405 405 9,40 (95%CI 9,1059,738. 91059738 9,105 9,738 105 738 9,105-9,738) 20 COVID1 1 COVID-1 0.9 09 950 0.950.98 09509 095 098 0.98 0.95-0.9 993 93 9,9 940 40 9,4 1059 9,1059,738 9105973 9105 9,10 9738 9,73 10 73 9,105-9,738 2 COVID- 0. 0.950.9 0950 0.95-0. 99 9, 94 4 9,1059,73 910597 910 9,1 973 9,7 7 9,105-9,73 0.950. 0.95-0 9,1059,7 91059 91 9,105-9,7 0.950 0.95- 9,1059, 9,105-9, 9,1059 9,105-9 9,105-

Resumo: Surtos de síndrome respiratória aguda grave (SRAG) ocorrem anualmente, com picos sazonais variando entre regiões geográficas. A notificação dos casos é importante para preparar as redes de atenção à saúde para o atendimento e internação dos pacientes. Portanto, os gestores de saúde precisam ter ferramentas adequadas de planejamento de recursos para as temporadas de SRAG. Este estudo tem como objetivo prever surtos de SRAG com base em modelos gerados com aprendizado de máquina usando dados de internação por SRAG. Foram incluídos dados sobre casos de hospitalização por SRAG no Brasil de 2013 a 2020, excluindo os casos causados pela COVID-19. Estes dados foram preparados para alimentar uma rede neural configurada para gerar modelos preditivos para séries temporais. A rede neural foi implementada com uma ferramenta de pipeline. Os modelos foram gerados para as cinco regiões brasileiras e validados para diferentes anos de surtos de SRAG. Com o uso de redes neurais, foi possível gerar modelos preditivos para picos de SRAG, volume de casos por temporada e para o início do período pré-epidêmico, com boa correlação de incidência semanal (R2 = 0,97; IC95%: 0,95-0,98, para a temporada de 2019 na Região Sudeste). Os modelos preditivos obtiveram uma boa previsão do volume de casos notificados de SRAG; dessa forma, foram observados 9.936 casos em 2019 na Região Sul, e a previsão feita pelos modelos mostrou uma mediana de 9.405 (IC95%: 9.105-9.738). A identificação do período de ocorrência de um surto de SRAG é possível por meio de modelos preditivos gerados com o uso de redes neurais e algoritmos que aplicam séries temporais. Resumo (SRAG anualmente geográficas pacientes Portanto 201 2020 COVID19. COVID19 COVID 19. 19 COVID-19 temporais pipeline préepidêmico, préepidêmico pré epidêmico, epidêmico pré-epidêmico R2 R (R 0,97 097 0 97 IC95% IC95 IC 0,950,98, 095098 0,95 0,98, 95 98 0,95-0,98 Sudeste. Sudeste . Sudeste) forma 9936 9 936 9.93 Sul 9405 405 9.40 (IC95% 9.1059.738. 91059738 9.105 9.738 105 738 9.105-9.738) 20 202 COVID1 1 COVID-1 0,9 09 IC9 950 0,950,98 09509 095 098 0,98 0,95-0,9 993 93 9.9 940 40 9.4 (IC95 1059 9.1059.738 9105973 9105 9.10 9738 9.73 10 73 9.105-9.738 2 COVID- 0, 0,950,9 0950 0,95-0, 99 9. 94 4 (IC9 9.1059.73 910597 910 9.1 973 9.7 7 9.105-9.73 0,950, 0,95-0 (IC 9.1059.7 91059 91 9.105-9.7 0,950 0,95- 9.1059. 9.105-9. 9.1059 9.105-9 9.105-

Abstract: Aim The zooplankton community is used as a bioindicator of environmental changes and can be an indicator of trophic status in aquatic environments through changes in the composition of the community. The objective of this work was to study the variation of shallow reservoir systems in an urban park, evaluating the relationships between physical, chemical, and biological variables. Methods The collections were conducted monthly for a year in the surface of reservoirs. The physical and chemical variables of the water were measured using a multiparametric probe on the surface. Nutrient analysis was performed using spectrophotometry in the laboratory. Zooplankton was collected using a plankton net (60 µm mesh size). Principal Coordinate Analysis (PCoA) was used to verify whether the three reservoirs present differences in zooplankton community composition. Results Altogether, 43 taxa belonging to 16 families were collected. Rotifera was the most representative group, with 27 taxa, Cladocera had 13 taxa, and Copepoda had only three taxa. The environmental variables indicated different trophic status between the reservoirs, demonstrating greater eutrophication in reservoirs 1 and 3. An association between the composition of the zooplankton community and the trophic state of the reservoirs was verified. Conclusions The composition of the zooplankton community shows differences among three of the shallow urban reservoirs studied. Reservoir 1 exhibited Filinia terminalis and Asplanchna herrick as indicator species. As for reservoir 2, with a lower trophic status, the indicative species were Bosmina freyi and Diaphanosoma polyspina, correlated with lower concentrations of nitrate, nitrite, total phosphorus, pH, and lower values of electrical conductivity. Reservoir 3 exhibited Brachionus angularis and Brachionus calyciflorus as indicator species, demonstrating a similar nutrient profile to R1, but with higher nitrate concentrations. Abstract park laboratory 60 (6 size. size . size) PCoA (PCoA Altogether 4 group 2 verified studied polyspina nitrite phosphorus pH conductivity R1 R 6 (

Resumo: Objetivo A comunidade zooplâncton é utilizada como bioindicador de mudanças ambientais e pode ser um indicador do estado trófico em ambientes aquáticos através de mudanças na composição da comunidade. O objetivo deste trabalho foi estudar a variação de sistemas de reservatórios rasos em um parque urbano, avaliando as relações entre variáveis físicas, químicas e biológicas. Métodos As coletas foram realizadas mensalmente durante um ano na superfície dos reservatórios. As variáveis físicas e químicas da água foram medidas por meio de sonda multiparamétrica na superfície. A análise dos nutrientes foi realizada por espectrofotometria em laboratório. O zooplâncton foi coletado com rede de plâncton (malha de 60 µm). A Análise de Coordenadas Principais (PCoA) foi utilizada para verificar se os três reservatórios apresentam diferenças na composição da comunidade zooplanctônica. Resultados Ao todo foram coletados 43 táxons pertencentes a 16 famílias. Rotifera foi o grupo mais representativo, com 27 táxons, Cladocera teve 13 táxons e Copepoda teve apenas três táxons. As variáveis ambientais indicaram diferentes estados tróficos entre os reservatórios, demonstrando maior eutrofização nos reservatórios 1 e 3. Foi verificada associação entre a composição da comunidade zooplanctônica e o estado trófico dos reservatórios. Conclusões A composição da comunidade zooplanctônica apresenta diferenças entre três dos reservatórios urbanos rasos estudados. O reservatório 1 exibiu Filinia terminalis e Asplanchna herrick como espécies indicadoras. Já no reservatório 2, com menor status trófico, as espécies indicativas foram Bosmina freyi e Diaphanosoma polyspina, correlacionadas com menores concentrações de nitrato, nitrito, fósforo total, pH e menores valores de condutividade elétrica. O reservatório 3 exibiu Brachionus angularis e Brachionus calyciflorus como espécies indicadoras, demonstrando perfil nutricional semelhante ao R1, mas com maiores concentrações de nitrato. Resumo urbano biológicas laboratório malha 6 µm. µm . µm) PCoA (PCoA 4 famílias representativo 2 estudados indicadoras polyspina nitrato nitrito total elétrica R1 R

Abstract Objective To investigate the role of optimism, hope, and gratitude as psychosocial factors for healthy development, especially with regard to anxiety in college students in the context of coronavirus disease 2019 (COVID-19). Methods This is a quantitative, descriptive cross-sectional study. A sociodemographic questionnaire, the Brazilian Gratitude Scale (Escala Brasileira de Gratidão [B-GRAT]), and the Brazilian versions of an anxiety subscale, the Revised Life Orientation Test (LOT-R), Hope Index Scale, and BIG-FIVE were administered. Data were analyzed using the Mann-Whitney U test, the Kruskal-Wallis test, Spearman correlations, and hierarchical linear regression. Results A total of 297 students were assessed. The relationship between gratitude and anxiety became positive in the hierarchical linear analysis, contradicting the initial negative association between these variables according to the Spearman coefficients. This contradiction may be a result of the suppression effect. When gratitude was added to the model, these three variables together accounted for 38% of the variance in anxiety. This indicates that optimism, hope, and gratitude together are significant predictors, although optimism alone accounts for the greater part of the variance in decreased anxiety. Conclusion The data confirm that family and religiosity are protective factors against mental illness, specifically non-adaptive anxiety. Furthermore, developing optimism as a protective factor makes it possible to experience less anxiety while hope has the potential to provide the individual with multiple pathways to healthy development. This study highlights that gratitude plays a dual role in these relationships as it has the potential to be associated with anxious feelings with likely negative outcomes while at the same time it can drive positive psychosocial factors of optimism and hope, decreasing anxiety. development 201 COVID19. COVID19 COVID 19 . (COVID-19) quantitative crosssectional cross sectional questionnaire Escala BGRAT, BGRAT B GRAT , [B-GRAT]) subscale LOTR, LOTR LOT R (LOT-R) BIGFIVE BIG FIVE administered MannWhitney Mann Whitney test KruskalWallis Kruskal Wallis correlations regression 29 assessed analysis coefficients effect model 38 predictors illness nonadaptive non adaptive Furthermore 20 COVID1 1 (COVID-19 [B-GRAT] (LOT-R 2 3 (COVID-1 [B-GRAT (COVID- (COVID