Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches

Aspect-based Sentiment Analysis (ABSA) is a task whose objective is to classify the individual sentiment polarity of all entities, called aspects, in a sentence. The task is composed of two subtasks: Aspect Term Extraction (ATE), identify all aspect terms in a sentence; and Sentiment Orientation Extraction (SOE), given a sentence and its aspect terms, the task is to determine the sentiment polarity of each aspect term (positive, negative or neutral). This article presents we present our participation in Aspect-Based Sentiment Analysis in Portuguese (ABSAPT) 2022 at IberLEF 2022. We submitted the best performing systems, achieving new state-of-the-art results on both subtasks.Comment: 11 pages, 3 figures, In Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022), Online. CEUR. or

Eficácia de intervenções imunomoduladoras para o tratamento da Esclerose Lateral Amiotrófica (ELA)

A esclerose lateral amiotrófica (ELA) é uma doença neurodegenerativa que afeta as células nervosas responsáveis pelo controle dos músculos voluntários, resultando em fraqueza muscular e atrofia. Nesse contexto, as intervenções imunomoduladoras têm como objetivo modular a resposta imune do organismo, ao reduzir a inflamação e possibilitar a neuroproteção, a partir do uso de anticorpos monoclonais, inibidores de citocinas e moduladores do sistema imunológico. No entanto, a eficácia de tais intervenções no tratamento da ELA ainda é incerta. Nesse sentido, o presente estudo tem como objetivo analisar a eficácia de intervenções imunomoduladoras para o tratamento da esclerose lateral amiotrófica. Para isso, foram selecionados cinco artigos que abordavam sobre a sua eficácia, por meio de uma estratégia de busca com recorte temporal entre 2017 e 2023, nas bases de dados PubMed (Medline), Cochrane Library e Embase. As intervenções imunomoduladoras, como o uso de inibidores de citocinas, têm demonstrado eficácia no tratamento da esclerose lateral amiotrófica (ELA). Além disso, há evidências de que a inflamação crônica pode estar envolvida em sua patogênese, o que sugere que a modulação do sistema imunológico pode ser uma abordagem terapêutica promissora. Em estudos clínicos recentes, a terapia com inibidores de citocinas mostrou-se capaz de reduzir a progressão da doença e melhorar a qualidade de vida dos pacientes com ELA. Ademais, há evidências que o uso de células-tronco pode melhorar o status funcional em pacientes com a doença. Entretanto, são necessários mais estudos, como ensaios clínicos randomizados e revisões sistemáticas com meta-análises, a fim de ratificar a eficácia das estratégias imunomoduladoras para a patologia

The 13th Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the SDSS-IV Survey Mapping Nearby Galaxies at Apache Point Observatory

The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) began observations in July 2014. It pursues three core programs: APOGEE-2,MaNGA, and eBOSS. In addition, eBOSS contains two major subprograms: TDSS and SPIDERS. This paper describes the first data release from SDSS-IV, Data Release 13 (DR13), which contains new data, reanalysis of existing data sets and, like all SDSS data releases, is inclusive of previously released data. DR13 makes publicly available 1390 spatially resolved integral field unit observations of nearby galaxies from MaNGA,the first data released from this survey. It includes new observations from eBOSS, completing SEQUELS. In addition to targeting galaxies and quasars, SEQUELS also targeted variability-selected objects from TDSS and X-ray selected objects from SPIDERS. DR13 includes new reductions ofthe SDSS-III BOSS data, improving the spectrophotometric calibration and redshift classification. DR13 releases new reductions of the APOGEE-1data from SDSS-III, with abundances of elements not previously included and improved stellar parameters for dwarf stars and cooler stars. For the SDSS imaging data, DR13 provides new, more robust and precise photometric calibrations. Several value-added catalogs are being released in tandem with DR13, in particular target catalogs relevant for eBOSS, TDSS, and SPIDERS, and an updated red-clump catalog for APOGEE.This paper describes the location and format of the data now publicly available, as well as providing references to the important technical papers that describe the targeting, observing, and data reduction. The SDSS website, http://www.sdss.org, provides links to the data, tutorials and examples of data access, and extensive documentation of the reduction and analysis procedures. DR13 is the first of a scheduled set that will contain new data and analyses from the planned ~6-year operations of SDSS-IV.PostprintPeer reviewe

Search for narrow resonances in dilepton mass spectra in proton-proton collisions at root s=13 TeV and combination with 8 TeV data

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Search for new physics with dijet angular distributions in proton-proton collisions at root S = 13 TeV

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Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

Search for light bosons in decays of the 125 GeV Higgs boson in proton-proton collisions at root s=8 TeV

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Search for supersymmetry in events with photons and missing transverse energy in pp collisions at 13 TeV

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Measurement of the top quark mass using single top quark events in proton-proton collisions at root s=8 TeV

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Search for leptophobic Z ' bosons decaying into four-lepton final states in proton-proton collisions at root s=8 TeV

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