Aprendizado de máquina e análise de sentimentos para avaliar a evolução da pandemia de COVID-19 e os impactos no turismo

This article aims to analyze how the emotional, mental, and sentimental demands related with hospitality and hostility were developed during the pandemic of the COVID-19 in Brazil. As methological procedures was applied sequential mixed methods research. Firstly, about 1,000 pieces of news were collected from two Brazilian websites to be able to manually classify them in the feelings of hospitality and hostility. We use a machine learning supervisor analysis following a sentiment analysis technique. Secondly, the data were used for training in eight machine learning algorithms, through supervised analysis, being chosen the logistic regression for the data classification, because it fits better to the data, reaching 72% of accuracy. The data collected in two years of the pandemic, thus approximately 221,000 news were then classified using the chosen algorithm, which allowed the generation of graphics and analysis through inferential statistics, through the evolution of feelings of hospitality and hostility. The results indicate that in situations such as the COVID-19 pandemic, people tend to behave hostilely, which leads to a lack of hospitality. The implications of this study are related to the ability to materialize, through the concepts of hospitality and hostility, the perception of visitors, guests, among other people, involved in the tourism sector. Therefore, the sentiment analysis from social media and news affected the tourism and hospitality industry.Cet article vise à analyser comment les demandes émotionnelles, mentales et sentimentales liées à l'hospitalité et à l'hostilité se sont développées pendant la pandémie de la COVID-19 au Brésil. Des procédures méthodologiques ont été appliquées à travers une recherche séquentielle à méthodes mixtes. Tout d'abord, environ 1 000 articles ont été collectés sur deux sites web brésiliens pour être classifiés manuellement selon les sentiments d'hospitalité et d'hostilité. Nous avons utilisé une analyse de sentiment supervisée par apprentissage automatique. Ensuite, les données ont été utilisées pour entraîner huit algorithmes d'apprentissage automatique, à travers une analyse supervisée, la régression logistique ayant été choisie pour la classification des données, car elle correspond mieux aux données, atteignant 72% de précision. Les données collectées sur deux ans de pandémie, soit environ 221 000 articles, ont ensuite été classées en utilisant l'algorithme choisi, ce qui a permis de générer des graphiques et des analyses à l'aide de statistiques inférentielles, montrant l'évolution des sentiments d'hospitalité et d'hostilité. Les résultats indiquent que dans des situations telles que la pandémie de la COVID-19, les gens ont tendance à adopter un comportement hostile, ce qui conduit à un manque d'hospitalité. Les implications de cette étude sont liées à la capacité de matérialiser, à travers les concepts d'hospitalité et d'hostilité, la perception des visiteurs, des clients et d'autres personnes impliquées dans le secteur du tourisme. Ainsi, l'analyse de sentiments à partir des médias sociaux et des actualités a affecté l'industrie du tourisme et de l'hospitalité.Este artigo tem como objetivo analisar como as demandas emocionais, mentais e sentimentais relacionadas à hospitalidade e hostilidade se desenvolveram durante a pandemia de COVID-19 no Brasil. Procedimentos metodológicos foram aplicados por meio de pesquisa sequencial de métodos mistos. Primeiramente, cerca de 1.000 notícias foram coletadas em dois sites brasileiros para serem classificadas manualmente nos sentimentos de hospitalidade e hostilidade. Foi utilizada uma análise de sentimento supervisionada de aprendizado de máquina. Em segundo lugar, os dados foram usados para o treinamento em oito algoritmos de aprendizado de máquina, por meio de análise supervisionada, sendo escolhida a regressão logística para a classificação dos dados, por se adequar melhor aos dados, alcançando 72% de precisão. Os dados coletados ao longo de dois anos da pandemia, aproximadamente 221.000 notícias, foram então classificados usando o algoritmo escolhido, o que permitiu a geração de gráficos e análises por meio de estatísticas inferenciais, mostrando a evolução dos sentimentos de hospitalidade e hostilidade. Os resultados indicam que em situações como a pandemia de COVID-19, as pessoas tendem a se comportar de maneira hostil, o que leva à falta de hospitalidade. As implicações deste estudo estão relacionadas à capacidade de materializar, por meio dos conceitos de hospitalidade e hostilidade, a percepção de visitantes, hóspedes e outras pessoas envolvidas no setor de turismo. Portanto, a análise de sentimentos provenientes de mídias sociais e notícias afetou a indústria do turismo e da hospitalidade

A MUDANÇA NO MERCADO DE VIDEOLOCADORAS SOB A PERSPECTIVA DA ECOLOGIA DAS POPULAÇÕES ORGANIZACIONAIS.

As organizações competem pelos recursos em um determinado ambiente, sendo que esta ideia baliza este estudo que teve como objetivo analisar as mudanças no mercado das videolocadoras por meio dos conceitos da Teoria da Ecologia das Populações Organizacionais (FREEMAN; HANNAN, 2005; CUNHA, 1999; BAUM, 1999; SWAMINATHAN, 1996). Esta teoria trata do nascimento e evolução das organizações, além das limitações dos gestores na manutenção das suas capacidades adaptativas. Este estudo foi conduzido pelo método dedutivo do tipo exploratório e descritivo, sendo necessário para a coleta dos dados o levantamento bibliográfico e documental com sua apreciação realizada pela abordagem qualitativa por meio da análise de conteúdo. Os dados obtidos forneceram uma visão geral sobre o setor de home vídeo, o que serviu de base para a comparação com os conceitos da teoria proposta. Assim, pôde ser percebido nos resultados apresentados sobre as organizações que houve uma virtualização deste modelo de negócios. Esta situação evidencia o nascimento de uma nova espécie de organização. Aliás, a antiga espécie de locadoras incorporaram outras atividades à sua forma para lidar com a escassez de recursos do ambiente, o que exemplifica a luta contra a extinção. Já que as condições ambientais podem determinar quais são as espécies sobreviventes, modelando assim as formas organizacionais ou criando novas espécies

Proposição do modelo DTC para gestão do conhecimento em empresas de consultoria em tecnologia de informação

This paper aims to purpose inside knowledge management framework the main practices to promote information technology professionals learning. The theoretical basis for this study was Organizational Learning models by Peter Senge (2001). This model correlates communities of practice and knowledge transfer models to promote individual and organizational learning these aspects motivates researchers to namely the model as DTC. The objective was achieved using a survey developed with 164 TI Professionals which works in consulting firms in Sao Paulo Regions using PLS-PM statistical tool which determinates the variables are import for professionals learning. The statistical model highlighted Personal Mastery, Knowledge Transfer and Communities of Practices as main factors for this TI professionals learning and knowledge exchange, these aspects motivates the researchers to put the name DTC in model. By the way this study is an important tool for enterprises or researchers which wants to import organizational learning practices using knowledge management framework.Este artigo teve como objetivo propor, dentro do modelo de gestão do conhecimento, as principais práticas que promovem a aprendizagem dos profissionais que atuam na área de Tecnologia da Informação (TI). A base teórica para este estudo consistiu na validação de um modelo proposto pelos autores, que se baseou no modelo de aprendizagem cunhado por Peter Senge, em seu livro “A Quinta Disciplina”, cuja abordagem destaca que, para a aprendizagem organizacional, cinco disciplinas são importantes: pensamento sistêmico, domínio pessoal, modelos mentais, construção de uma visão compartilhada e aprendizagem em equipe. Além do modelo proposto por Senge (2001), este estudo destaca a importância das comunidades de práticas na transferência do conhecimento como uma maneira de promover a aprendizagem individual e organizacional. O modelo estatístico destacou o domínio pessoal, a transferência do conhecimento e as comunidades de prática como os principais fatores para a aprendizagem desses profissionais, fato que motivou os pesquisadores a chamarem o modelo de DTC. Portanto, este estudo se constitui em uma ferramenta para empresas ou pesquisadores que desejam melhorar as práticas adotadas para a aprendizagem organizacional

Kinase Inhibitor Profile For Human Nek1, Nek6, And Nek7 And Analysis Of The Structural Basis For Inhibitor Specificity.

Human Neks are a conserved protein kinase family related to cell cycle progression and cell division and are considered potential drug targets for the treatment of cancer and other pathologies. We screened the activation loop mutant kinases hNek1 and hNek2, wild-type hNek7, and five hNek6 variants in different activation/phosphorylation statesand compared them against 85 compounds using thermal shift denaturation. We identified three compounds with significant Tm shifts: JNK Inhibitor II for hNek1(Δ262-1258)-(T162A), Isogranulatimide for hNek6(S206A), andGSK-3 Inhibitor XIII for hNek7wt. Each one of these compounds was also validated by reducing the kinases activity by at least 25%. The binding sites for these compounds were identified by in silico docking at the ATP-binding site of the respective hNeks. Potential inhibitors were first screened by thermal shift assays, had their efficiency tested by a kinase assay, and were finally analyzed by molecular docking. Our findings corroborate the idea of ATP-competitive inhibition for hNek1 and hNek6 and suggest a novel non-competitive inhibition for hNek7 in regard to GSK-3 Inhibitor XIII. Our results demonstrate that our approach is useful for finding promising general and specific hNekscandidate inhibitors, which may also function as scaffolds to design more potent and selective inhibitors.201176-9

Composição química e valor energético de alimentos de origem animal utilizados na alimentação de codornas japonesas

Avaliaram-se a composição química e o valor energético de farinhas de resíduos de abatedouro para machos de codornas japonesas (Coturnix coturnix japonica). Foram utilizadas 320 codornas machos, com 32 dias de idade, distribuídas em delineamento experimental inteiramente ao acaso, com cinco dietas (uma referência e quatro dietas-teste), cada uma avaliada com oito repetições de oito aves por unidade experimental. As farinhas substituíram 25% da dieta-referência e seus valores de energia metabolizável, assim como os coeficientes de metabolizabilidade, foram determinados pelo método de coleta total de excretas. Os valores de energia metabolizável aparente (kcal/kg) e aparente corrigida para balanço de nitrogênio (kcal/kg) são, respectivamente, de 2.152 e 2.142 para a farinha de carne e ossos; de 3.139 e 3.137 para a farinha de penas; de 2.658 e 2.651 para a farinha de peixe; e de 3.692 e 3.668 para a farinha de vísceras de aves. Os coeficientes de metabolizabilidade são de 60,51% para farinha de carne e ossos; 59,25% para a farinha de penas; 64,09% para farinha de peixe; e 78,64% para a farinha de vísceras de aves.It was evaluated the chemical composition and energy values of slaughterhouse by-product meal for male Japanese quails (Coturnix coturnix japonica). It was used 320 male quails at 32 days of age, distributed in a complete random experimental design, with five diets (one reference diet and four test diets), each one evaluated with eight replicates with eight birds per experimental unity. Meals replaced 25% of the reference diet and their metabolizable energy values as well as their metabolizability coefficients were determined by using the total excreta method collection. Values of apparent metabolizable energy (kcal/kg) and apparent energy corrected for nitrogen balance (kcal/kg) are, respectively, 2,152 and 2,142 for meat and bone meal; 3,139 and 3,137 for feather meal; 2,658 and 2,651 for fish meal and 3,692 and 3,668 for poultry viscera meal. Metabolizability coefficients are 60.51% for meat and bone meal; 59.25% for feather meal; 64.09% for fish meal and 78.64% for poultry viscera meal

Influence of IL-6, IL-8, and TGF-\u3b21 gene polymorphisms on the risk of human papillomavirus-infection in women from Pernambuco, Brazil

Human papillomavirus (HPV) infections are strongly associated with the development of cervical intraepithelial neoplasias and invasive cervical cancer. Polymorphisms in cytokine-encoding genes and behavioural cofactors could play an important role in protecting an individual against viral infections and cancer. Here, we investigated whether IL-6 -174 G>C, IL-8 +396 G>T, and TGF-\u3b21 +869 G>C and +915 G>C polymorphisms were associated with susceptibility to HPV infection in women from north-east (Pernambuco) Brazil. We analysed 108 healthy uninfected women (HC) and 108 HPV-positive women with cervical lesions. Genetic polymorphisms were assessed using Sanger sequencing and polymerase chain reaction-restriction fragment length polymorphism. Comparison of the distribution of the genotypic and allelic frequencies of the IL-18 +396 T>G polymorphism between HPV infected woman an uninfected controls showed that the GG genotype and G allele were both more frequent in the HC group, and were associated with protection from HPV infection (p = 0.0015; OR = 0.29 CI95% = 0.13-0.61; p = 0.0005; OR = 0.45 CI95% 0.29-0.7, respectively). Individuals from the control group could have previously had HPV infection that was spontaneously eliminated; however, it was undetectable at the time of sample collection. Based on our findings, we hypothesize that the IL-8 +396 G>T polymorphism could interfere with susceptibility to HPV infection, by modulating the ability of immune system to fight the virus

Galaxy evolution in compact groups I: Revealing a transitional galaxy population through a multiwavelength approach

Compact groups of galaxies (CGs) show members with morphological disturbances, mainly products of galaxy-galaxy interactions, thus making them ideal systems to study galaxy evolution, in high-density environment. To understand how this environment affects the properties of galaxies, we select a sample of 340 CGs in the Stripe 82 region, for a total of 1083 galaxies, and a sample of 2281 field galaxies as a control sample. By performing a multi-wavelength morphological fitting process using S-PLUS data, we divide our sample into early-type (ETG), late-type (LTG), and transition galaxies using the r-band S\'ersic index and the colour (u-r). We find a bimodal distribution in the plane of the effective radius-S\'ersic index, where a secondary "peculiar" galaxy population of smaller and more compact galaxies is found in CGs, which is not observed in the control sample. This indicates that galaxies are undergoing a morphological transformation in CGs. In addition, we find significant statistical differences in the distribution of specific Star Formation Rate (sSFR) when we compare both environments for LTGs and ETGs. We also find a higher fraction of quenched galaxies and a lower median sSFR in CGs than in the control sample, suggesting the existence of environmental effects favoring the cessation of star formation, regardless of galaxy type. Our results support the notion that CGs promote morphological and physical transformations, highlighting their potential as ideal systems for galaxy pre-processing.Comment: 17 pages, 15 figures. Accepted for publication in MNRA

Raman evidence for pressure-induced formation of diamondene.

Despite the advanced stage of diamond thin-film technology, with applications ranging from superconductivity to biosensing, the realization of a stable and atomically thick two-dimensional diamond material, named here as diamondene, is still forthcoming. Adding to the outstanding properties of its bulk and thin-film counterparts, diamondene is predicted to be a ferromagnetic semiconductor with spin polarized bands. Here, we provide spectroscopic evidence for the formation of diamondene by performing Raman spectroscopy of double-layer graphene under high pressure. The results are explained in terms of a breakdown in the Kohn anomaly associated with the finite size of the remaining graphene sites surrounded by the diamondene matrix. Ab initio calculations and molecular dynamics simulations are employed to clarify the mechanism of diamondene formation, which requires two or more layers of graphene subjected to high pressures in the presence of specific chemical groups such as hydroxyl groups or hydrogens

An environmental dependence of the physical and structural properties in the Hydra cluster galaxies

The nearby Hydra cluster (∼50 Mpc) is an ideal laboratory to understand, in detail, the influence of the environment on the morphology and quenching of galaxies in dense environments. We study the Hydra cluster galaxies in the inner regions (1R200) of the cluster using data from the Southern Photometric Local Universe Survey, which uses 12 narrow and broad-band filters in the visible region of the spectrum. We analyse structural (Sérsic index, effective radius) and physical (colours, stellar masses, and star formation rates) properties. Based on this analysis, we find that ∼88 per cent of the Hydra cluster galaxies are quenched. Using the Dressler–Schectman test approach, we also find that the cluster shows possible substructures. Our analysis of the phase-space diagram together with density-based spatial clustering algorithm indicates that Hydra shows an additional substructure that appears to be in front of the cluster centre, which is still falling into it. Our results, thus, suggest that the Hydra cluster might not be relaxed. We analyse the median Sérsic index as a function of wavelength and find that for red [(u − r) ≥2.3] and early-type galaxies it displays a slight increase towards redder filters (13 and 18 per cent, for red and early type, respectively), whereas for blue + green [(u − r)<2.3] galaxies it remains constant. Late-type galaxies show a small decrease of the median Sérsic index towards redder filters. Also, the Sérsic index of galaxies, and thus their structural properties, do not significantly vary as a function of clustercentric distance and density within the cluster; and this is the case regardless of the filter.CL-D acknowledges scholarship from CONICYT-PFCHA/Doctorado Nacional/2019-21191938. CL-D and AM acknowledge support from FONDECYT Regular grant 1181797. CL-D acknowledges also the support given by the ‘Vicerrectoría de Investigacion de la Universidad de La Serena’ program ‘Apoyo al fortalecimiento de grupos de investigacion’. CL-D and AC acknowledges to Steven Bamford and Boris Haeussler with the MegaMorph project. CL-D and DP acknowledge support from fellowship ‘Becas Doctorales Institucionales ULS’, granted by the ‘Vicerrectoría de Investigacion y Postgrado de la Universidad de La Serena’. AM and DP acknowledge funding from the Max Planck Society through a ‘Partner Group’ grant. DP acknowledges support from FONDECYT Regular grant 1181264. This work has used the computing facilities of the Laboratory of Astroinformatics (Instituto de Astronomia, Geofísica e Ciencias Atmosféricas, Departamento de Astronomia/USP, NAT/Unicsul), whose purchase was made possible by FAPESP (grant 2009/54006-4) and the INCT-A. YJ acknowledges financial support from CONICYT PAI (Concurso Nacional de Inserción en la Academia 2017) No. 79170132 and FONDECYT Iniciación 2018 No. 11180558. LS thanks the FAPESP scholarship grant 2016/21664-2. AAC acknowledges support from FAPERJ (grant E26/203.186/2016), CNPq (grants 304971/2016-2 and 401669/2016-5), and the Universidad de Alicante (contract UATALENTO18-02). AMB thanks the FAPESP scholarship grant 2014/11806-9. RA acknowedges support from ANID FONDECYT Regular grant 1202007