O cultivo do sapotizeiro.

Clima; solo; epoca de plantio; consorciacao; controle de plantas daninhas; adubacao; importancia dos nutrientes; micronutrientes importancia da cobertura morta; restricoes ao uso da cobertura morta; variedades; espacamento e plantio; propagacao; irrigacao; sistema de irrigacao; manejo de irrigacao; fertirrigacao; sistema injetor de fertilizante; poda; poda de manutencao; tratos culturais; pragas do sapotizeiro; produtividade; implantacao do pomar; colheita; comercializacao.bitstream/CNPAT-2010/7517/1/Ci-013.pd

Effective treatment and prevention of attempted suicide, anxiety, and aggressiveness with fluoxetine, despite proven use of androgenic anabolic steroids

The treatment of a man who attempted suicide after experiencing symptoms of anxiety and aggressiveness associated with the use of androgenic‐anabolic steroids (AAS) is described. This report includes 30 days of inpatient treatment and a 6‐month follow‐up. Regular use of fluoxetine apparently prevented the onset of anxiety, depression, aggressiveness, and suicide ideation, even with the concurrent use of AAS. The urinary concentration of androgens, metabolites of AAS, and fluoxetine were monitored through analysis of urinary samples by the Brazilian Laboratory of Doping Control. Our results are congruent with previous findings describing the risk of suicide prompted by AAS use as well as the efficacy of fluoxetine in the treatment of mood disorders associated with the use of anabolic steroids

Fungal diversity associated to the olive moth, prays oleae Bernard : a survey for potential entomopathogenic fungi

Olive production is one of the main agricultural activities in Portugal. In the region of Trás-os-Montes this crop has been considerably affected by Prays oleae. In order to evaluate the diversity of fungi on P. oleae population of Trás-os-Montes olive orchards, larvae and pupae of the three annual generations (phyllophagous, antophagous and carpophagous) were collected and evaluated for fungal growth on their surface. From the 3828 larvae and pupae, a high percentage of individuals exhibited growth of a fungal agent (40.6%), particularly those from the phyllophagous generation. From all the moth generations, a total of 43 species from 24 genera were identified, but the diversity and abundance of fungal species differed between the three generations. Higher diversity was found in the carpophagous generation, followed by the antophagous and phyllophagous generations. The presence of fungi displaying entomopathogenic features was highest in the phyllophagous larvae and pupae, being B. bassiana the most abundant taxa. The first report of B. bassiana presence on P. oleae could open new strategies for the biocontrol of this major pest in olive groves, since the use of an already adapted species increases the guarantee of success of a biocontrol approach. The identification of antagonistic fungi able to control agents that cause major olive diseases, such as Verticillium dahliae, will benefit future biological control approaches for limiting this increasingly spreading pathogen.This work was supported by Science and Technology Foundation (Fundação para a Ciência e Tecnologia – FCT) project PTDC/AGR-AAM/102600/2008 “Entomopathogenic fungi associated to olive pests: isolation, characterization and selection for biological control”. The first author is grateful to the Science and Technology Foundation for the PhD grant SFRH/BD/44265/2008

Detection of Mycobacterium spp. in Coalho cheese commercialized in the city of Caicó-RN, Brazil.

Artisanal Coalho cheese is a popular dairy product, widely consumed in the Northeast region of Brazil, and is produced with raw or pasteurized milk. Microbial contamination of cheeses has very important consequences, both for the dairy industry, given the potential economic losses, and for public health, due to the risk of outbreaks of foodborne diseases. The present study aimed to detect Mycobaterium spp. in Coalho cheese commercialized in the city of Caicó-RN Brazil, using bacterial culture and molecular diagnosis. 50 samples of Coalho cheese obtained from local street market were analyzed, 35 of which were made from raw milk (artesanal cheese) and 15 with pasteurized milk (industrialized cheese)

Converging XGboost machine learning and molecular docking strategies to identify atractants for Ceratitis capitata: molecular characterization and database curation of natural ligands for in vitro/in vivo tests.

The Mediterranean fruit fly Ceratitis capitata (Wiedemann) (Diptera: Tephritidae) is one of the most critical agricultural pests, causing economic damage globally due to its wide range of fruit hosts. Conventional insecticides have brought environmental, human health, and resistance challenges, driving interest in semiochemicals as sustainable pest management alternatives. Potential molecular attractants can be assessed experimentally through methods such as electroantennography (EAG) or behavioral assays. Odorant Binding Proteins (OBPs) have been recognized as crucial mediators in detecting these chemical signals. Although isolated compounds can provide mechanistic insights, volatile blends more accurately reflect natural conditions and typically elicit stronger behavioral responses. However, designing effective blends is challenging due to their complexity and regulatory limitations. Therefore, curated molecular databases of potential attractants become essential to accelerate the discovery and reduce cost in research programs, both in vitro and in vivo tests. The in silico molecular approaches, including Molecular Docking, Molecular Dynamics (MD) and Quantitative Structure–Activity Relationships (QSAR), offer cost‐effective methods to prioritize candidates and/or understand ligand‐OBP interactions. In this study, computational methodologies including Machine Learning (ML) based QSAR, molecular docking and MD simulations were integrated to highlight molecular features of standard molecules and identify potential attractors for C. capitata, which are expected to be good OBP binders. Initially, was applied a Bee Colony Algorithm, combined with an final XGBoost Machine Learning model, enabled the identification of five essential molecular descriptors to explain the attractant effect of 20 standard compounds recognized in the literature. Applying this model to an online database of natural products from Brazil (NuBBE—Nuclei of Bioassays, Ecophysiology and Biosynthesis of Natural Products Database), 206 molecules were identified from over 2000 candidates. In a parallel front of investigation, docking‐based virtual screening was performed using the same NuBBE database. Most promissory compounds were discussed based on binding energy, structure/geometry focusing on interactions and estimated volatility, through the evaluation of vapor pressure. MD simulations with the gold standard compound (E,E)‐α‐farnesene provided insights into ligand‐protein interactions. Interestingly, 16 of the top 20 ranked compounds after dockings were predicted as attractors by the XGBoost model. Finally, the curated database of 206 compounds, the great contribution of this paper (beyond the model), can be used to assertively select molecules for experimental tests of future blends or isolated compounds

Topological confinement in an antisymmetric potential in bilayer graphene in the presence of a magnetic field

We investigate the effect of an external magnetic field on the carrier states that are localized at a potential kink and a kink-antikink in bilayer graphene. These chiral states are localized at the interface between two potential regions with opposite signs