League of Legends: Real-Time Result Prediction

This paper presents a study on the prediction of outcomes in matches of the electronic game League of Legends (LoL) using machine learning techniques. With the aim of exploring the ability to predict real-time results, considering different variables and stages of the match, we highlight the use of unpublished data as a fundamental part of this process. With the increasing popularity of LoL and the emergence of tournaments, betting related to the game has also emerged, making the investigation in this area even more relevant. A variety of models were evaluated and the results were encouraging. A model based on LightGBM showed the best performance, achieving an average accuracy of 81.62\% in intermediate stages of the match when the percentage of elapsed time was between 60\% and 80\%. On the other hand, the Logistic Regression and Gradient Boosting models proved to be more effective in early stages of the game, with promising results. This study contributes to the field of machine learning applied to electronic games, providing valuable insights into real-time prediction in League of Legends. The results obtained may be relevant for both players seeking to improve their strategies and the betting industry related to the game.Comment: 8 page

Polymer-induced tubulation in lipid vesicles

A mechanism of extraction of tubular membranes from a lipid vesicle is presented. A concentration gradient of anchoring amphiphilic polymers generates tubes from bud-like vesicle protrusions. We explain this mechanism in the framework of the Canham-Helfrich model. The energy profile is analytically calculated and a tube with a fixed length, corresponding to an energy minimum, is obtained in a certain regime of parameters. Further, using a phase-field model, we corroborate these results numerically. We obtain the growth of tubes when a polymer source is added, and the bud-like shape after removal of the polymer source, in accordance with recent experimental results

Respostas fisiológicas de fêmeas Anglonubiana a manejo nas condições ambientais do Piauí.

A raça Anglonubiana foi pesquisada no Piauí, com avaliação em fêmeas da influência do estágio fisiológico e idade na expressão de adaptação a manejo e condições ambientais na microrregião de Teresina. A estação de monta ocorreu em agosto/setembro de 2008, com final de gestação em novembro/dezembro e lactação em fevereiro de 2009, meses nos quais registrou-se a temperatura retal, frequência cardíaca e respiratória, também escore e peso corporal, mensurados no mesmo animal quando eles estavam ?não prenhe?, ?prenhe? e em ?lactação?, nesses meses, respectivamente. Agrupou-se as fêmeas em quatro idades (mais de 72 meses, de 36 a 72, entre 15 e 36 e marrãs de 12 a 15 meses), com mensuração durante seis dias alternados em duas semanas, leituras entre 14 e 17 h, realizadas à sombra. Utilizou-se delineamento casualizado com análise estatística num fatorial 4x3 (4 idades e 3 estágios), com seis repetições. Considerou-se que cabras Anglonubiana, independemente da idade e estágio fisiológico, recorrem à elevação da frequência respiratória para complementar a dissipação de calor em setembro, mês de temperatura ambiente elevada e baixa umidade do ar. O manejo reprodutivo dessa raça na região deve priorizar ocorrência de gestação/lactação em período do ano mais favorável à homeotermia corporal

Microbiological quality of fresh local fish: coagulase-positive Staphylococci analysis.

The aim of this research was to evaluate and quantify the presence of Staphylococci in fresh local fish at a fish processing plant monitored by the Brazilian Federal Inspection Service (Serviço de Inspeção Federal - SIF) located in the North Region of Brazil

Caracterização genética de caprinos Marota no Estado do Piauí por meio de microssatélites de DNA.

Os caprinos possuem um importante papel para a agricultura do Nordeste, concentrando-se nesta região o maior plantel da espécie no Brasil. O Estado do Piauí possui rebanhos de alguns grupos genéticos adaptados ao semi-árido e que se encontram em risco de desaparecimento. Este trabalho teve o objetivo de caracterizar a raça caprina naturalizada Marota por meio de marcadores de microssatélite, dando suporte a futuras pesquisas de melhoramento ou conservação de recursos genéticos. Os animais avaliados pertencem ao Núcleo de Conservação da Embrapa Meio-Norte e estão em risco de desaparecimento. O DNA extraído foi amplificado mediante a reação em cadeia polimerase (PCR), em multiplex e genotipados através do programa Fragment Profile (Amershan Biosystem). A freqüência alélica (FA) e a heterosigozidade media observada (H) foram calculadas através do programa TFPGA (Miller, 1997). Todos os loci analisados foram considerados informativos (H>0,5) segundo Ott (1992). Os Loci ILSTS011, CSRDS247 e HSC mostraram alelos exclusivos para a população, quando comparado com a literatura, refletindo possível variação genética entre esta população de caprinos Marota e outras populações nativas européias. O número de alelos observado demonstra haver diversidade dentro da população, não havendo indicativos de perda de diversidade dentro do rebanho de conservação

Variational Methods for Biomolecular Modeling

Structure, function and dynamics of many biomolecular systems can be characterized by the energetic variational principle and the corresponding systems of partial differential equations (PDEs). This principle allows us to focus on the identification of essential energetic components, the optimal parametrization of energies, and the efficient computational implementation of energy variation or minimization. Given the fact that complex biomolecular systems are structurally non-uniform and their interactions occur through contact interfaces, their free energies are associated with various interfaces as well, such as solute-solvent interface, molecular binding interface, lipid domain interface, and membrane surfaces. This fact motivates the inclusion of interface geometry, particular its curvatures, to the parametrization of free energies. Applications of such interface geometry based energetic variational principles are illustrated through three concrete topics: the multiscale modeling of biomolecular electrostatics and solvation that includes the curvature energy of the molecular surface, the formation of microdomains on lipid membrane due to the geometric and molecular mechanics at the lipid interface, and the mean curvature driven protein localization on membrane surfaces. By further implicitly representing the interface using a phase field function over the entire domain, one can simulate the dynamics of the interface and the corresponding energy variation by evolving the phase field function, achieving significant reduction of the number of degrees of freedom and computational complexity. Strategies for improving the efficiency of computational implementations and for extending applications to coarse-graining or multiscale molecular simulations are outlined.Comment: 36 page

Genetic variants identified by target next-generation sequencing in heart transplant patients with dilated cardiomyopathy

Introduction and Objectives: Dilated cardiomyopathy (DCM) is a myocardial disease that can progress to a terminal stage, requiring heart transplantation. In this work we aim to contribute to knowledge of genetic variants in adult patients undergoing heart transplantation due to end-stage DCM, reporting the results obtained in our single-center tertiary hospital series using target next-generation sequencing (NGS). Methods and Results: Genetic variants were screened in 15 genes, preselected based on variants previously identified in DCM patients. Thirteen unrelated patients were included, nine (69%) male, mean age at diagnosis 33±13 years, eight (62%) with familial DCM. Nine genetic variants were identified in six (46%) patients: five in LMNA, two in LBD3, one in TNNT2 and one in TCAP. These variants were new in most patients. The majority were classified as of uncertain significance. Two patients were double and triple heterozygotes in the LBD3 and LMNA genes, respectively. Conclusion: Our results highlight the potential of NGS in the genetic characterization of DCM patients. LMNA is one of the most frequently mutated genes and should be included in all target gene assessments of end-stage DCM patients until more data are available.This study received a research grant from Fundação para a Ciência e Tecnologia ( FCT-PTDC/BIM-MEC/0650/2012 )

Building the impedance model of a real machine

A reliable impedance model of a particle accelerator can be built by combining the beam coupling impedances of all the components. This is a necessary step to be able to evaluate the machine performance limitations, identify the main contributors in case an impedance reduction is required, and study the interaction with other mechanisms such as optics nonlinearities, transverse damper, noise, space charge, electron cloud, beam-beam (in a collider). The main phases to create a realistic impedance model, and verify it experimentally, will be reviewed, highlighting the main challenges. Some examples will be presented revealing the levels of precision of machine impedance models that have been achieved

Genome-wide profiling of methylation identifies novel targets with aberrant hyper-methylation and reduced expression in low-risk myelodysplastic syndromes

Gene expression profiling signatures may be used to classify the subtypes of Myelodysplastic syndrome (MDS) patients. However, there are few reports on the global methylation status in MDS. The integration of genome-wide epigenetic regulatory marks with gene expression levels would provide additional information regarding the biological differences between MDS and healthy controls. Gene expression and methylation status were measured using high-density microarrays. A total of 552 differentially methylated CpG loci were identified as being present in low-risk MDS; hypermethylated genes were more frequent than hypomethylated genes. In addition, mRNA expression profiling identified 1005 genes that significantly differed between low-risk MDS and the control group. Integrative analysis of the epigenetic and expression profiles revealed that 66.7% of the hypermethylated genes were underexpressed in low-risk MDS cases. Gene network analysis revealed molecular mechanisms associated with the low-risk MDS group, including altered apoptosis pathways. The two key apoptotic genes BCL2 and ETS1 were identified as silenced genes. In addition, the immune response and micro RNA biogenesis were affected by the hypermethylation and underexpression of IL27RA and DICER1. Our integrative analysis revealed that aberrant epigenetic regulation is a hallmark of low-risk MDS patients and could have a central role in these diseases. © 2013 Macmillan Publishers Limited All rights reserved

Caracterização química e determinação da capacidade antioxidante de genótipos brasileiros de sorgo (Sorghum bicolor L.).

O sorgo é um cereal que apesar de ser pouco utilizado na alimentação humana, possui composição química similar à cereais de uso convencional como milho, trigo e arroz. É considerado fonte de minerais e compostos fenólicos, contribuindo positivamente para atividade antioxidante, sendo benéfico à saúde humana. O objetivo deste trabalho foi caracterizar quimicamente sorgo dos genótipos BRS 332 e SC 319 (EMBRAPA Milho e Sorgo Sete Lagoas MG), determinar o teor de taninos, compostos fenólicos e atividade antioxidante por três metodologias distintas ABTS, FRAP e DPPH. Os resultados demonstraram que os sorgos apresentaram teor superior de carboidrato e similar de proteínas quando comparado com o milho e teor superior de fibras e lipídeos, comparando-se ao trigo. O genótipo que se destacou em relação ao teor de tanino (SC319), apresentou também maiores concentrações de compostos fenólicos e capacidade antioxidante mais elevadas, indicando um potencial funcional. Logo se pode concluir que os genótipos de sorgos têm potencialidade para substituir cereais tradicionais como trigo, arroz e milho e serem introduzidos na alimentação humana