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BACKGROUND: Frailty is a biological syndrome that causes adverse events in the health of older adults. However, the Clinical Frailty Scale has not yet been culturally adapted and validated into Brazilian Portuguese language. OBJECTIVES: Our aim was to translate, reproduce and validate the Clinical Frailty Scale (CFS) for the Brazilian Portuguese language. DESIGN: An observational cross-sectional study with senior patients was conducted between Jan 2018 and Nov 2018. SETTING AND PARTICIPANTS: Volunteers aged >60 and living in Brazil. The translation and cultural adaptation of the CFS into the Portuguese language, the principles and good practices were followed. MEASUREMENTS: To conduct the validation and determine the reproducibility of an inter-observer evaluation, the patients answered the scale questions in Portuguese on two occasions, delivered by two separate examiners and separated by a 10-minute interval, on their first visit; the 36-item Short Form Survey quality-of-life questionnaire (SF-36) was also applied. Seven days later, a second visit was undertaken to perform an intra-observer reproducibility assessment. RESULTS: A total of 66 older individuals were enrolled (72 ± 8 years), the majority of which did not present frailty (63.6%) and reported a low physical limitation level in the SF-36. The CFS showed a significant correlation with the SF-36 quality-of-life questionnaire (r= -0.663; p<0.0001) and no statistical difference was observed between intra-rater (p=0.641) and inter-rater (p=0.350) applications, demonstrating the reproducibility and applicability of the instrument. The standard error estimate (SEE) was evaluated and there were no differences between the CFS and the SF-36 (SEE= 1.13 points). CONCLUSION: The Brazilian Portuguese language version of the CFS is a valid, reproducible and reliable instrument for evaluating the impact of frailty on the lives of senior patients.

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Colletotrichum lindemuthianum, causal agent of anthracnose in the common bean, has wide genetic variability. Differential bean cultivars and morphological and physiological characteristics were used to analyze 74 isolates of C. lindemuthianum collected in two counties in the state of Minas Gerais, Brazil. Six different races were found, with a predominance of race 65 at both locations. Isolates were classified according to their sensitivities to the fungicide thiophanate-methyl, normally used in the control of common bean anthracnose. In all, ≈10% of isolates were resistant to the fungicide in vitro. Characteristics such as indexes of mycelia growth rate, colony diameter, sporulation capacity, and percentage of germination demonstrated the high genetic variability of C. lindemuthianum. We also observed variation in conidial cytology. The conidia of most isolates showed septa formation after germination, in contrast to septa absence, previously reported in the literature. Sexual and asexual reproduction were evaluated for mechanisms that may contribute in the generation of variability in C. lindemuthianum. Conidial anastomosis tubes were commonly found, indicating that asexual reproduction can help increase variability in this species. Information from this study confirmed high variability in C. lindemuthianum and will guide future studies in basic knowledge and applied technologies.

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Glomerella cingulata f. sp phaseoli is the sexual phase of the fungus Colletotrichum lindemuthianum, the causal agent of common bean anthracnose. This fungus is of great concern, because it causes large economic losses in common bean crops. RAPD markers of five populations of G. cingulata f. sp phaseoli from two Brazilian states were analyzed to determine if this population possesses the sexual reproductive potential to generate the genetic variation that is observed in this phytopathogen. We identified 128 polymorphic bands, amplified by 28 random primers. The estimates of genetic similarity in this analysis ranged from 0.43 to 1.00, and the dendrogram generated from analysis of all genotypes displayed five principal groups, coinciding with the five populations. Genetic differentiation was observed between the populations (GST=0.6455); 69% of the overall observed genetic variation was between individual populations and 31% of the variance was within the sub-populations. We identified significant levels of linkage disequilibrium in all populations. However, the values of the disequilibrium ranged from low to moderate, indicating that this pathogen maintains a genetic structure consistent with sexual reproduction. The mean contribution of sexual reproduction was determined by comparison of the amplitudes of genetic similarity of isolates from sexual and asexual phases. These results support the hypothesis that recombination plays an important role in determining the amplitude of variability in this pathogen population and that this determination occurs on a fine scale.

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The use of recombinant proteins has increased greatly in recent years, as well as the techniques used for their purification. The selection of an efficient process to purify proteins is a major bottleneck found when trying to scale up results obtained in the laboratory to a large-scale industrial process. One of the main challenges in the synthesis of downstream purification stages in biotechnological processes is the appropriate selection and sequencing of chromatographic steps. The objective of this work is to develop mixed integer linear programming models for the synthesis of protein purification processes. Models for each chromatographic technique rely on physicochemical data of a protein mixture, which contains the desired product and provide information on its potential purification. Formulations that are based on convex hull representations are proposed to calculate the minimum number of steps from a set of chromatographic techniques that must achieve a specified purity level and alternatively to maximize purity for a given number of steps. The proposed models are tested in several examples with experimental data and present time reductions of up to three orders of magnitude when compared to big-M formulations.

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There has been an increasing interest in the development of systematic methods for the synthesis of purification steps for biotechnological products, which are often the most difficult and costly stages in a biochemical process. Chromatographic processes are extensively used in the purification of multicomponent biotechnological systems. One of the main challenges in the synthesis of purification processes is the appropriate selection and sequencing of chromatographic steps that are capable of producing the desired product at an acceptable cost and quality. This paper describes mathematical models and solution strategies based on mixed integer linear programming (MILP) for the synthesis of multistep purification processes. First, an optimization model is proposed that uses physicochemical data on a protein mixture, which contains the desired product, to select a sequence of operations with the minimum number of steps from a set of candidate chromatographic techniques that must achieve a specified purity level. Since several sequences that have the minimum number of steps may satisfy the purity level, it is possible to obtain the one that maximizes final purity. Then, a second model that may use the total number of steps obtained in the first model generates a solution with the maximum purity of the product. Whenever the sequence does not affect the final purity or more generally does not impact the objective function, alternative models that are of smaller size are developed for the optimal selection of steps. The models are tested in several examples, containing up to 13 contaminants and a set of 22 candidate high-resolution steps, generating sequences of six operations, and are compared to the current synthesis approaches.

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In this work we propose a model that simultaneously optimizes the process variables and the structure of a multiproduct batch plant for the production of recombinant proteins. The complete model includes process performance models for the unit stages and a posynomial representation for the multiproduct batch plant. Although the constant time and size factor models are the most commonly used to model multiproduct batch processes, process performance models describe these time and size factors as functions of the process variables selected for optimization. These process performance models are expressed as algebraic equations obtained from the analytical integration of simplified mass balances and kinetic expressions that describe each unit operation. They are kept as simple as possible while retaining the influence of the process variables selected to optimize the plant. The resulting mixed-integer nonlinear program simultaneously calculates the plant structure (parallel units in or out of phase, and allocation of intermediate storage tanks), the batch plant decision variables (equipment sizes, batch sizes, and operating times of semicontinuous items), and the process decision variables (e.g., final concentration at selected stages, volumetric ratio of phases in the liquid-liquid extraction). A noteworthy feature of the proposed approach is that the mathematical model for the plant is the same as that used in the constant factor model. The process performance models are handled as extra constraints. A plant consisting of eight stages operating in the single product campaign mode (one fermentation, two microfiltrations, two ultrafiltrations, one homogenization, one liquid-liquid extraction, and one chromatography) for producing four different recombinant proteins by the genetically engineered yeast Saccharomyces cerevisiae was modeled and optimized. Using this example, it is shown that the presence of additional degrees of freedom introduced by the process performance models, with respect to a fixed size and time factor model, represents an important development in improving plant design.

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Muitos restaurantes universitários brasileiros produzem significativas quantidades de refeiçöes, mesmo näo havendo condiçöes ideais para tanto. As freqüentes reduçöes de orçamento e a falta de treinamento dos funcionários cooperam ainda mais no detrimento da qualidade dos alimentos ali processados. Objetivou-se analisar perigos e identificar pontos críticos de controle (PCC), os quais podem ser utilizados em um sistema HACCP/APPCC (Hazard Analysis Critical Control Point ou Análise de Perigos e Pontos Críticos de Controle) como fonte de resoluçäo dos problemas diários que afetam a qualidade das refeiçöes produzidas. A investigaçäo de perigos e pontos críticos de controle foi conduzida no restaurante universitário n§3 da Universidade Federal do Rio Grande do Sul através de elaboraçäo de fluxogramas, análises visuais, físicas e microbiológicas durante os meses de temperatura pico (janeiro e junho) no veräo e inverno dos anos de 1997 e 1998, na cidade de Porto Alegre. Os resultados obtidos foram comparados a fim de evidenciar as diferenças de contaminaçäo dentro de condiçöes climáticas diferentes. Treinamentos periódicos, destinaçäo de recursos para a manutençäo e aquisiçäo de equipamentos e utensílios, assim como a implantaçäo completa do sistema HACCP/APPCC reduziriam sensivelmente a possibilidade de toxinfecçöes e a instabilidade imposta pelas condiçöes näo ideais de trabalho desses restaurantes.

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In this work we propose an optimization model for the design of a biotechnological multiproduct batch plant. A first level of detail posynomial model is constructed for each unit, as well as decisions regarding the structural optimization of the plant. A particular feature of this model is that it contains composite units in which semicontinuous items operate on the material contained by batch items. This occurs in the purification steps, in particular with the microfilters operating between retentate and permeate vessels, and with the homogenizer and ultrafilters operating on the material contained in a batch holding vessel. Also, the unit models rely on batch operating time expressions that depend on both the batch size and the size of semicontinuous items. The model takes into account all of the available options to increase the efficiency of the batch plant design: unit duplication in-phase and out-of-phase and intermediate storage tanks. The resulting mathematical model for the minimization of the plant capital cost is a mixed integer non-linear program (MINLP), which is solved to global optimality with an implementation of the outer approximation/ equality relaxation/ augmented penalty (OA/ER/AP) method. A plant that produces four recombinant proteins in eight processing stages is used to illustrate the proposed approach. An interesting feature of this example is that it represents an attempt to standardize a plant for the production of both therapeutic and nontherapeutic proteins; the model applied is generic and can thus be applied to any such modular plant. Results indicate that the best solution in terms of minimal capital cost contains no units in parallel and with intermediate storage tank allocation.

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Sao relatados quatro casos de elastose perfurante serpiginosa, ocorridos em jovens brancos, de 12 a 16 anos. Dois pacientes eram do sexo masculino e dois do feminino.O inicio da molestia ocorreu nas idades de tres a 12 anos A evolucao variou de dois a 13 anos. As lesoes eram eritemato-papulosas, ceratosicas e tinham disposicoes arciforme e serpiginosa.Raramente eram isoladas. Em todos os casos as lesoes se localizaram nos membros superiores.Um dos pacientes apresentava tambem lesoes nos joelhos e coxas.Em um caso havia associacao com alopecia ofiasica e monogolismo ou sindrome de Down e em outro com nevo pigmentado congenito gigante da regiao peitoral direta. Foram abordados alguns aspectos histopatologicos e patogeneticos da afeccao

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