Ethanol (EtOH) is a substantial stressor for Saccharomyces cerevisiae. Data integration from strains with different phenotypes, including EtOH stress-responsive lncRNAs, are still not available. We covered these issues seeking systems modifications that drive the divergences between higher (HT) and lower (LT) EtOH tolerant strains under their highest stress conditions. We showed that these phenotypes are neither related to high viability nor faster population rebound after stress relief. LncRNAs work on many stress-responsive systems in a strain-specific manner promoting the EtOH tolerance. Cells use membraneless RNA/protein storage and degradation systems to endure the stress harming, and lncRNAs jointly promote EtOH tolerance. CTA1 and longevity are primer systems promoting phenotype-specific gene expression. The lower cell viability and growth under stress is a byproduct of sphingolipids and inositol phosphorylceramide dampening, acerbated in HTs by sphinganine, ERG9, and squalene overloads; LTs diminish this harm by accumulating inositol 1-phosphate. The diauxic shift drives an EtOH buffering by promoting an energy burst under stress, mainly in HTs. Analysis of mutants showed genes and lncRNAs in three strains critical for their EtOH tolerance. Finally, longevity, peroxisome, energy and lipid metabolisms, RNA/protein degradation and storage systems are the main pathways driving the EtOH tolerance phenotypes.

Variability of the HIV reverse transcriptase (RT) and protease (PR) genes has been used as indicators of drug resistance and as a mean to evaluate phylogenetic relationships among circulating virus. However, these studies have been carried in HIV mono-infected populations. The goal of this study was to evaluate, for the first time, the HIV PR and RT sequences from HIV/HBV and HIV/HCV co-infected patients. HIV PR and RT genes were amplificated and sequenced to resistance analysis. The bioinformatics analysis was performed to infer about sequences clustering and molecular evolution. The results showed that the most frequent amino acid substitutions in RT were L214F (67.6%), I135T (55.9%), and in PR was V15I (41.2%). The molecular clock analysis showed that the HIV circulating in co-infected patients were separated in two clusters in the years 1999–2000. Some patients included as HIV mono-infected according patients’ medical records and inside the co-infected cluster were, in fact, co-infected by PCR analysis. Analysis of the decision trees showed susceptibility to lamivudine and emtricitabine were important attribute to characterize co-infected patients. In conclusion, the results obtained in this study suggest, for the first time, that HIV RT and PR genes variability could be a genetic biomarker to coinfection.

Conflict of interest: noneObjectives: to evaluate and indicate the procedure to be followed in the health unit, both for diagnosis and the treatment of acute exogenous intoxications by carbamates or organophosphates. Methods: a descriptive study based on retrospective analysis of the clinical history of patients diagnosed with intoxication by carbamates or organophosphates admitted at the emergency unit of the Hospital de Urgências de Sergipe Governador João Alves (HUSE) between January and December of 2012. Some criteria were evaluated, such as: intoxicating agent; patient's age and gender; place of event, cause, circumstances and severity of the intoxication; as well as signs and symptoms of the muscarinic, nicotinic and neurological effects. Results: seventy patients (average age: 25±19.97) formed the study's population. It was observed that 77.14% of them suffered carbamate intoxication. However, organophosphate intoxications were more severe, with 68.75% of patients presenting moderate to severe forms. Suicide attempt was the leading cause of poisoning, with 62 cases (88.57% of total). Atropine administration was an effective therapeutic approach for treating signs and symptoms, which included sialorrhea (p=0.0006), nausea (p=0. 0029) and emesis (p <0.0001). The use of activated charcoal was shown effective, both in combating the signs and symptoms presented by both patient groups (p <0.0001). Conclusion: it is concluded that the use of atropine and activated charcoal is highly effective to treat the signs and symptoms developed by patients presenting acute exogenous intoxication by carbamates or organophosphates.

Bullous SDRIFE and Covid-19Dear Editor, Symmetrical drug-related intertriginous and flexural exanthema (SDRIFE) is a drug reaction with well-defined criteria and some clinical and histopathological variability, in addition to simultaneous overlapping features with other pharmacological reactions. 1,2 We report a special case of SDRIFE with bullae formation in a patient with severe COVID-19, a situation that is unmatched in the literature. A 53-year-old obese woman with diabetes mellitus, chronic obstructive pulmonary disease, and a diagnosis of COVID-19 made 21 days earlier was admitted to the intensive care unit (ICU) with respiratory failure, bacterial pneumonia (Pseudomonas aeruginosa), intravascular device-related blood-

Among the activities that burden capital in the supply chain of forest-based industries, the activity of road transport of wood deserves to be highlighted. Machine learning techniques are applied the knowledge extracted from real data, and support strategies that aim to maximize the resources destined for it. Based on variables inherent to the wood transport activity, we verified whether machine learning models can act as predictors of the volume of wood to be transported and support strategic decision-making. The database came from companies in the pulp and paper segments, which totaled 26,761 data instances. After the data wrangling process, machine learning algorithms were used to build models, which were optimized from the hyperparameter adjustment and selected to compose the blended learning hierarchy. In addition to belonging to different methodological basis, a CatBoost Regressor, Decision Tree Regressor, and K Neighbors Regressor were selected mainly for providing minimal values to errors metrics and maximal values to determination coefficient. The learning by stack stands out, with a coefficient of determination of 0.70 and an average absolute percentage error of 6% in the estimation of the volume of wood to be transported. Based on variables inherent to the wood transport process, we verified that machine learning models can act in the prediction of the volume of wood to be transported and support strategic decision-making.

Introduction and Objectives:The lipid profile is an important predictor of the risk of coronary heart disease (CHD). Higher rates of total cholesterol (TC) and cholesterol of low-density lipoprotein (LDL-C) increase the chances of developing this disease. However, it is known that women due to hormonal factors would have fewer cardiovascular events. The main objective of this article is to assess the association among different parameters of the lipid profile between the different sexes in the population of a city in Brazil. Methods: This is a descriptive, longitudinal and retrospective study based on secondary data collected in the period from 2003 to 2013 in a medical laboratory in Aracaju, Brazil. The lipid profile was determined using the following markers: total cholesterol (TC); high-density lipoprotein cholesterol (HDL-C); low-density lipoprotein cholesterol (LDL-C) and triglycerides (TG). Statistical analysis was performed using measures of central tendency and variance. The inferential analysis was performed by student's t test and the p-value was 0.05. Results: The sample consists of 63,396 people, 24,425 male and 38,971 female, with mean age of 42.02±17.38 years. The mean value of total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol and triglyceride was respectively, 193.39±43.62 mg/dl, 48.80±11.24 mg/dl, 118.35±36.75 mg/dl and 131.28±82.21 mg/dl. Between the genres, it was observed statistical significant differences between all parameters of lipid profile (p<0.0001). Conclusion: We concluded that women have higher rates of total cholesterol and low-density lipoprotein cholesterol; while men have lower rates of high-density lipoprotein cholesterol and higher of triglyceride, which predisposes males to the development of metabolic syndrome.

The correct capture of forest operations information carried out in forest plantations can help in the management of mechanized harvesting timber. Proper management must be able to dimension resources and tools necessary for the fulfillment of operations and helping in strategic, tactical, and operational planning. In order to facilitate the decision making of forest managers, this work aimed to analyze the performance of machine learning algorithms in estimating the productivity of timber harvesters. As predictors of productivity, we used the availability of hours of machine use, individual mean volumes of trees, and terrain slopes. The dataset was composed of 144,973 records, carried out over a period of 28 months. We tested the predictive performance of 24 machine learning algorithms in default mode. In addition, we tested the performance of blending and stacking joint learning methods. We evaluated the model’s fit using the root mean squared error, mean absolute error, mean absolute percentage error, and determination coefficient. After cleaning the initial database, we used only 1.12% to build the model. Learning by blending ensemble stood out with a determination coefficient of 0.71 and a mean absolute percentage error of 15%. From the use of data from machine learning algorithms, it became possible to predict the productivity of timber harvesters. Testing a variety of machine learning algorithms with different dynamics contributed to the machine learning technique that helped us reach our goal: maximizing the model’s performance by conducting experimentation.

We report in this work an in vitro propagation method for Dalbergia nigra using nodal segments from germinated seeds in vitro. Plant material was cultivated on MS medium supplemented with 6-benzyladeninepurine (BAP: 0 μM, 1.11 μM and 2.22 μM) and Naphthaleneacetic acid (NAA: 0.27 μM), combined with different amounts of subcultures for induction of shoot multiplication. Multiplied shoots were inoculated in MS and ½ MS medium (half strength of MS salts) to root, supplemented with NAA (0 μM and 4 μM). Data were analyzed by non-parametric statistical Kruskal-Wallis test. Best results to shoot multiplication were obtained using 1.11 μM or 2.22 μM of BAP combined 0.27 μM of NAA in multiplication medium and performing three subcultures, providing higher rates of shoots production per explant (average of 2.24) and high survival rate. Best results for rooting of shoots generated were obtained using a rooting medium containing ½ MS supplemented with 4 μM of NAA, providing a higher percentage of shoot rooting (average of 68%).