In vitro photoprotective activity of plants extracts from Zona da Mata Mineira (Brazil)

Many plants have recently been considered as potential sunscreen resources because of their capacity to absorb the solar ultraviolet radiation. The objective of this work was to evaluate the sunscreen activity of ten Zona da Mata Mineira plants extracts by in vitro test using ultraviolet spectrophotometry. From the studied species, three (Lantana aff. fucata Lindl, Solidago microglossa DC and Stachytarpheta gesnerioides Cham.) showed sun protection factor (SPF) higher than 2, which is the minimum value required by the Brazilian legislation to label a product as containing a SPF. These results suggest that it can be possible to utilize these species to manufacture a new natural sunscreen or associate them with synthetic UV-filters.Colegio de Farmacéuticos de la Provincia de Buenos Aire

In vitro photoprotective activity of plants extracts from Zona da Mata Mineira (Brazil)

Many plants have recently been considered as potential sunscreen resources because of their capacity to absorb the solar ultraviolet radiation. The objective of this work was to evaluate the sunscreen activity of ten Zona da Mata Mineira plants extracts by in vitro test using ultraviolet spectrophotometry. From the studied species, three (Lantana aff. fucata Lindl, Solidago microglossa DC and Stachytarpheta gesnerioides Cham.) showed sun protection factor (SPF) higher than 2, which is the minimum value required by the Brazilian legislation to label a product as containing a SPF. These results suggest that it can be possible to utilize these species to manufacture a new natural sunscreen or associate them with synthetic UV-filters.Colegio de Farmacéuticos de la Provincia de Buenos Aire

Networks of nonlinear superconducting transmission line resonators

We investigate a network of coupled superconducting transmission line resonators, each of them made nonlinear with a capacitively shunted Josephson junction coupling to the odd flux modes of the resonator. The resulting eigenmode spectrum shows anticrossings between the plasma mode of the shunted junction and the odd resonator modes. Notably, we find that the combined device can inherit the complete nonlinearity of the junction, allowing for a description as a harmonic oscillator with a Kerr nonlinearity. Using a dc SQUID instead of a single junction, the nonlinearity can be tuned between 10 kHz and 4 MHz while maintaining resonance frequencies of a few gigahertz for realistic device parameters. An array of such nonlinear resonators can be considered a scalable superconducting quantum simulator for a Bose-Hubbard Hamiltonian. The device would be capable of accessing the strongly correlated regime and be particularly well suited for investigating quantum many-body dynamics of interacting particles under the influence of drive and dissipation.Comment: 18 pages, 3 figure

In vitro photoprotective activity of plants extracts from Zona da Mata Mineira (Brazil)

Many plants have recently been considered as potential sunscreen resources because of their capacity to absorb the solar ultraviolet radiation. The objective of this work was to evaluate the sunscreen activity of ten Zona da Mata Mineira plants extracts by in vitro test using ultraviolet spectrophotometry. From the studied species, three (Lantana aff. fucata Lindl, Solidago microglossa DC and Stachytarpheta gesnerioides Cham.) showed sun protection factor (SPF) higher than 2, which is the minimum value required by the Brazilian legislation to label a product as containing a SPF. These results suggest that it can be possible to utilize these species to manufacture a new natural sunscreen or associate them with synthetic UV-filters.Colegio de Farmacéuticos de la Provincia de Buenos Aire

Benchmarks for Pir\'a 2.0, a Reading Comprehension Dataset about the Ocean, the Brazilian Coast, and Climate Change

Pir\'a is a reading comprehension dataset focused on the ocean, the Brazilian coast, and climate change, built from a collection of scientific abstracts and reports on these topics. This dataset represents a versatile language resource, particularly useful for testing the ability of current machine learning models to acquire expert scientific knowledge. Despite its potential, a detailed set of baselines has not yet been developed for Pir\'a. By creating these baselines, researchers can more easily utilize Pir\'a as a resource for testing machine learning models across a wide range of question answering tasks. In this paper, we define six benchmarks over the Pir\'a dataset, covering closed generative question answering, machine reading comprehension, information retrieval, open question answering, answer triggering, and multiple choice question answering. As part of this effort, we have also produced a curated version of the original dataset, where we fixed a number of grammar issues, repetitions, and other shortcomings. Furthermore, the dataset has been extended in several new directions, so as to face the aforementioned benchmarks: translation of supporting texts from English into Portuguese, classification labels for answerability, automatic paraphrases of questions and answers, and multiple choice candidates. The results described in this paper provide several points of reference for researchers interested in exploring the challenges provided by the Pir\'a dataset.Comment: Accepted at Data Intelligence. Online ISSN 2641-435

Production and characterization of new fibrinolytic protease from Mucor subtillissimus UCP 1262 in solid-state fermentation

Fibrinolytic enzymes have received attention regarding their medicinal potential for thrombolytic diseases, a leading cause of morbidity and mortality worldwide. Various natural enzymes purified from animal, plant and microbial sources have been extensively studied. The aim of this work was to produce fibrinolytic protease by solid state fermentation using agro industrial substrates. Rhizopus arrhizus var. arrhizus UCP 1295 and Mucor subtillissimus UCP 1262 filamentous fungi species isolated from soil of Caatinga-PE, Brasil, were used as producer microorganisms. Wheat bran was shown to be the best substrate for the production of the enzyme and by using a 23 full factorial design the main effects and interactions of the quantity of the substrate wheat bran, moisture and temperature on the fibrinolytic enzyme production and protease were evaluated. The best results for fibrinolytic and protease activities, 144.58 U/mL and 48.33 U/mL, respectively, were obtained with Mucor subtillissimus UCP 1262 using as culture medium 3 g wheat bran, 50% moisture at a temperature of 25˚C for 72 hours. The optimum temperature for the produced enzyme was 45˚C and most of its original activity was retained after being subjected to 80˚C for 120 min. The protease activity was enhanced by K+, Ca+ and Mn+; but with Cu+ there was an inhibition. The specificity to chromogenic substrate and the inhibition by PMSF indicates that it is a chymotrypsin-like serine protease. Presented results suggest that this enzyme produced by solid-state fermentation is an interesting alternative as a candidate for thrombolytic therapy

In vitro Efficacy of Photoprotection in Sunscreens: a Comparison Between Methods

Sunscreens are known to play an important role on the prevention of skin cancer, as they act by blocking the carcinogenic solar radiations. The currently methods for determining the sun protection efficacy of these products are all based on in vivo tests. In this light, the aim of the present study was to compare the performance of two spectrophotometric in vitro methods, in order to determine which one generates more trustworthy Sun Protection Factors (SPF) values: the classical UV spectrophotometry or the diffuse transmittance reflectance spectrophotometry. For that, twenty-five SPF 30 commercial sunscreen samples were used. The methods generated different results, being the diffuse transmittance spectrophotometry more appropriate and reliable for determining the SPF of these products. Moreover, it provides as additional advantage the possibility of quantifying the protection against UVA radiation through the UVA/UVB Ratio and the Critical Wavelength.Colegio de Farmacéuticos de la Provincia de Buenos Aire

A high performance liquid chromatography method for determination of hydroxyzine hydrochloride in syrup

A simple isocratic method for quantification of hydroxyzine dihydrochloride by HPLC with UV detection at 232 nm in syrup has been developed and validated. Separation was achieved on a C18 column (250 x 4.6 mm, 5 μm) maintained at 90 ºC with 0.5 mol/L potassium dihydrogen phosphate buffer : acetonitrile (1:1, v/v) as mobile phase at a flow rate of 2.0 mL/min. The method was proven to be linear over the range of 80–120 μg/mL, accurate (recovery = 97.8 %), precise (coefficient of variation = 1.52 % for sample) and robust.Colegio de Farmacéuticos de la Provincia de Buenos Aire

The BLue Amazon Brain (BLAB): A Modular Architecture of Services about the Brazilian Maritime Territory

We describe the first steps in the development of an artificial agent focused on the Brazilian maritime territory, a large region within the South Atlantic also known as the Blue Amazon. The "BLue Amazon Brain" (BLAB) integrates a number of services aimed at disseminating information about this region and its importance, functioning as a tool for environmental awareness. The main service provided by BLAB is a conversational facility that deals with complex questions about the Blue Amazon, called BLAB-Chat; its central component is a controller that manages several task-oriented natural language processing modules (e.g., question answering and summarizer systems). These modules have access to an internal data lake as well as to third-party databases. A news reporter (BLAB-Reporter) and a purposely-developed wiki (BLAB-Wiki) are also part of the BLAB service architecture. In this paper, we describe our current version of BLAB's architecture (interface, backend, web services, NLP modules, and resources) and comment on the challenges we have faced so far, such as the lack of training data and the scattered state of domain information. Solving these issues presents a considerable challenge in the development of artificial intelligence for technical domains