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We observed high internal consistency, high concurrent validity, and inter-rater reliability of the Apathy Inventory. In addition, we found that its sensitivity and specificity were high. We suggest that the Brazilian version of the Apathy Inventory would be an appropriate instrument to identify the apathy syndrome in Brazilian patients.

Adsorption studies are essential before implementation in an industrial plant. We studied the Reactive Blue 5G removal by activated carbon from Pinus sp. Physical and chemical characteristics of the adsorbent were evaluated with N2 adsorption/desorption experiments at 77 K, and equilibrium and kinetics studies were performed in a batch reactor at several temperatures and pH values. Our results showed that the activated carbon had a high surface area, effective diffusion coefficients were of the order of 10–12 cm2·s–1, and mass transfer coefficients were present in both fluid and solid phases. Equilibrium and kinetics experiments confirmed that pH and temperature play an important role: the dye uptake became higher as the temperature and pH decreased, and the optimum removal was at 303 K and pH 2. Finally, thermodynamics analysis suggested that the process is exothermic and chemical in nature. In summary, we showed that activated carbon can be more effective than other adsorbents already used to remove the Reactive Blue 5G from wastewater.

The rates of recurrent venous thromboembolism (RVTE) vary widely, and its causes still need to be elucidated. Statistical multivariate methods can be used to determine disease predictors and improve current methods for risk calculation. The objective of this study was to apply principal component analysis to a set of data containing clinical records of patients with previous venous thromboembolism and extract the main factors that predict recurrent thrombosis. Records of 39 factors including blood and lipid parameters, hereditary thrombophilia, antiphospholipid syndrome, clinical data regarding previous thrombosis and treatment, and Doppler ultrasound results were collected from 235 patients. The results showed that 13 principal components were associated with RVTE and that 18 of 39 factors are the important for the analysis. These factors include red blood cell, white blood cell, hematocrit, red cell distribution width, glucose, lipids, natural anticoagulant, creatinine, age, as well as first deep vein thrombosis data (distal/proximal, d-dimer, and time of anticoagulation). The results demonstrated that simple clinical parameters easy to be collected can be used to predict rates of recurrence and to develop new clinical decision support systems to predict the rates of RVTE.

Modeling the water uptake by chicken carcasses during cooling by immersionModelagem da absorção de água por carcassas de frango durante o resfriamento por imersão

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