Meteorological droughts in part of southeastern Brazil: Understanding the last 100 years.

Droughts have negatively influenced tropical regions on the planet with southeastern Brazil standing out. The objective of this study was to analyze droughts with different magnitudes since the ending of 19th and beginning of the 20th centuries based on the Standard Precipitation Index (SPI) and Standard Precipitation Evapotranspiration Index (SPEI), in the locations of São Paulo city (SP - city), metropolitan regions of Belo Horizonte (MR-BH) and Campinas (MR-Campinas), Lavras (South-MG), and Piracicaba (ME-SP). Two different periods were considered: i) wet period (SPI6 and SPEI6) and; ii) summer period (SPI4 and SPEI4). Considering the SPI indexes, the hydrological year of 2013/2014 was the driest observed for South-MG, ME-SP and MR-Campinas, while for MR-BH and SP-city, 1970/1971 and 1962/1963 were the driest, respectively. MR-BH and SP city showed different variability of 1970/1971 and 1962/1963, respectively. We could detect three periods with several consecutive droughts: 1908/1918; 1968/1981 and 2013/2019. Based on SPEI, the 2013/2014 hydrological year was the driest for all the regions, except for SP city, for which 1998/1999 and 1962/1963 were the driest, and MR-BH for which 1970/1971 and 2000/2001 were the driest. Precipitation might be the main factor to evaluate the occurrence of droughts in the studied locations, which indicates SPI is a satisfactory drought indicator for the region.

Entropy and Clustering Information Applied to sEMG Classification.

The EMG signal is very difficult to classify due to the stochastic complexity of its characteristics. A way to reduce the complexity of a signal is to use clusters to resize them to a smaller space and then perform the classification. A classification improvement was verified by clustering the electromyographic signal and comparing it with the possible movements that can be performed. In this study, the Agglomerative Hierarchical Clustering was used. The basic idea is to give prior information to the final classifier so the posterior classification has fewer classes, diminishing his complexity. Through the methodology applied in this article, an accuracy of more than 90% was achieved by using a time window of only 10 ms in a signal sampled at 2000 Hz. Experimentation confirms that the methods presented in this paper are competitive with other methods presented in the literature.

Basic and procedural requirements for energy potential from biogas of sewage treatment plants.

The objective of this study is to evaluate the potential for electricity generation in the State of São Paulo (SP) from the sewage treatment. A sewage treatment plant (STP) with domain in the production of biogas from wastewater treatment plant (WWTP) is the basis for this case study. The basic premise is that the very generation of electricity in STPs is advantageous for companies in the sanitation sector in Brazil, resulting in cost reductions of the treatment process. Gains at the end of the process are found in two levels, namely: (i) economic, by generating 165% of electricity from biogas burning in relation to the expend; (ii) energy, by adding a new sustainable and storable energy source equivalent to 4% of natural gas offered in the State of SP and 0,5% of electricity produced from biogas burning in relation to electricity consumption. In conclusion, the potential of electricity production linked to the biogas at STPs is capable of supply its domestic demand and export the surplus to other segments of the state and national economy.

Internally quenched fluorescent peptide libraries with randomized sequences designed to detect endopeptidases.

Identification of synthetic peptide substrates for novel peptidases is an essential step for their study. With this purpose we synthesized fluorescence resonance energy transfer (FRET) peptide libraries Abz (or MCA)-GXXXXXQ-EDDnp and Abz (or MCA)-GXXZXXQ-EDDnp, where X consists of an equimolar mixture of all amino acids, the Z position is fixed with one of the proteinogenic amino acids (cysteine was excluded), Abz (ortho-aminobenzoic acid) or MCA ([7-amino-4-methyl]coumarin) is the fluorescence donor and Q-EDDnp (glutamine-[N-(2,4-dinitrophenyl)-ethylenediamine]) is the fluorescence acceptor. The peptide libraries MCA-GXXX↓XXQ-EDDnp and MCA-GXXZ↓XXQ-EDDnp were cleaved as indicated (↓) by trypsin, chymotrypsin, cathepsin L, pepsin A, and Eqolisin as confirmed by Edman degradation of the products derived from the digestion of these libraries. The best hydrolyzed Abz-GXXZXXQ-EDDnp sublibraries by these proteases, including Dengue 2 virus NS2B-NS3 protease, contained amino acids at the Z position that are reported to be well accepted by their S(1) subsite. The pH profiles of the hydrolytic activities of these canonical proteases on the libraries were similar to those reported for typical substrates. The FRET peptide libraries provide an efficient and simple approach for detecting nanomolar concentrations of endopeptidases and are useful for initial specificity characterization as performed for two proteases secreted by a Bacillus subtilis.