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1.
HUMANIDADES & INOVACAO ; 9(5):68-80, 2022.
Article in Portuguese | Web of Science | ID: covidwho-1965523

ABSTRACT

This article aims to present an epistemological discussion based on the assumption that, in times of Covid-19, Humanities and Social Sciences are equally important to monitor the effects of the new coronavirus in society. Although research aimed at the development of medicines and vaccines attract more attention during pandemics, the extent of social phenomena also needs to be investigated based on an analysis that encompasses the vast knowledge of the field of Humanities and Social Sciences. Therefore, we criticize the misleading way the concept of Science has been used to prescribe, discussing publications on the social network Twitter, which is widely used by the current Brazilian government to create hierarchies and distinctions in the scientific field. We argue about the need to understand science in a meaningful and socially referenced way.

2.
18th Brazilian Symposium on Information Systems: Information Systems for a More Humane World!, SBSI 2022 ; Par F180474, 2022.
Article in Portuguese | Scopus | ID: covidwho-1950314

ABSTRACT

Context: Social distancing measures to reduce the impacts of the COVID-19 pandemic bring challenges for several organizations and their Information Systems (IS). Problem: Social distancing were suddenly implemented, with no adequate planning. Furthermore, there is not a clear understanding of the impacts of social distancing measures on the software development teams' work. Solution: This study aims to identify the presence and impacts of social distancing on collaboration between people, as well as on activities and technologies used in software development, from the perspective of professionals who work in software development teams. IS Theory: The research was developed under the aegis of the Team Resilience Theory. Method: A field study was conducted based on structured interviews and qualitative analysis. Results: In general, it was observed no impact on the software processes activities, although their performance was affected. It was also observed that the impact on the collaboration dynamics in software development was perceived in different ways, by several team members. This study identified the most common tools used by organizations, as well as the benefits and challenges of collaboration in software development after social distancing measures. Contribution: The impacts of social distancing on collaboration in software development were identified, reinforcing the Team Resilience Theory and similar study conducted in the beginning of the COVID-19 pandemic. This study contributes to the Grand Research Challenge "Systemic and Socially Aware Perspective for Information Systems". © 2022 ACM.

3.
Texto e Contexto Enfermagem ; 31, 2022.
Article in English, Portuguese | Scopus | ID: covidwho-1933427

ABSTRACT

Objective: To compare absenteeism in Hospital Nursing before and during the COVID-19 pandemic. Method: A cross-sectional study. It involved compilation of the records of absence from Nursing work at a university hospital in southern Brazil in March, April and May 2019 (n=622) and during the same period in 2020 (n=475). The data were analyzed by means of descriptive and analytical statistics. Results: Both periods presented the same absence frequencies in women (98.4%;98.3%), aged between 40 and 49 years old (47.9%;44.8%) and working in wards for adults (30.7%;29.2%). Absenteeism-Disease was the most prevalent cause (48.4%;48%). The absolute number of absence cases was higher in the prepandemic period;however, the time in days and hours lost, as well as the absenteeism rate (13.9;18.6%), was significantly higher (p-value<0.001) in the current pandemic period. Conclusion: The COVID-19 pandemic exerted an impact on the increase in Hospital Nursing absenteeism. © 2022, Universidade Federal de Santa Catarina. All rights reserved.

4.
Brazilian Archives of Biology and Technology ; 65(e22210648), 2022.
Article in English | CAB Abstracts | ID: covidwho-1875203

ABSTRACT

COVID-19 rapidly spread across the world in an unprecedented outbreak with a massive number of infected and fatalities. The pandemic was heavily discussed and searched on the internet, which generated big amounts of data related to it. This led to the possibility of attempting to forecast coronavirus indicators using the internet data. For this study, Google Trends statistics for 124 selected search terms related to pandemic were used in an attempt to find which keywords had the best Spearman correlations with a lag, as well as a forecasting model. It was found that keywords related to coronavirus testing among some others, such as "I have contracted covid", had high correlations (0.7) with few weeks of lag (4 weeks). Besides that, the ARIMAX model using those keywords had promising results in predicting the increase or decrease of epidemiological indicators, although it was not able to predict their exact values. Thus, we found that Google Trends data may be useful for predicting outbreaks of coronavirus a few weeks before they happen, and may be used as an auxiliary tool in monitoring and forecasting the disease in Brazil.

5.
Revista Cubana de Informacion en Ciencias de la Salud ; 33, 2022.
Article in Portuguese | Scopus | ID: covidwho-1842691

ABSTRACT

The phenomenon called infodemia refers to the increase in the volume of information on a specific topic, which multiplies rapidly in a short period of time, and has stood out in the context of the health crisis triggered by the COVID-19 pandemic. Too much information can trigger feelings of fear, anxiety, stress, and other conditions of mental distress. The study aims to describe the profile of exposure to information about COVID-19 and its repercussions on the mental health of elderly Brazilians. This is a cross-sectional study carried out with 1924 elderly Brazilians. Data were collected through a web-based survey sent to the elderly via social networks and email, from July to October 2020. The results of the descriptive analysis of the data show that most of the elderly were aged between 60 and 69 years (69.02%), female (71.26%), married (53.79%) and white (75.57%). About 21.67% (n = 417) concluded their graduation, 19.75% (380) concluded their specialization and 16.63% (320) concluded their master's or doctoral degrees. Television 862 (44.80%) and social networks 651 (33.84%) were reported as frequent sources of exposure to news or information about COVID-19. Participants indicated that television (46.47%;n = 872), social networks (30.81%;n = 575) and radio (14.48%;251) affected them psychologically and/or physically. Receiving fake news about COVID-19 on television (n = 482;19.8%) and on social media (n = 415;21.5%) mainly resulted in stress and fear. The disseminated information contributes to awareness, but also affects physically and/or psychologically many elderly people, mainly generating fear and stress. © 2022, Centro Nacional de Informacion de Ciencias Medicas. All rights reserved.

6.
2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021 ; : 3327-3333, 2021.
Article in English | Scopus | ID: covidwho-1722860

ABSTRACT

About seven months after the start of the COVID-19 pandemic, the first vaccine against the disease was approved for emergency use. Since then, twenty-three more vaccines have been approved, while more than three hundred are in development. Despite being one of the fastest vaccines ever created, several questions about it remain open. Computational models can be useful to answer some of these questions. This paper aims to evaluate whether a computer model previously used to reproduce the effects of the yellow fever vaccine in the body is also capable of reproducing the effects of a distinct vaccine: ChAdOx1 nCoV-19. Preliminary results show that the model is a promising tool to achieve this goal since it was able to reproduce the antibody curves observed in individuals vaccinated with ChAdOx1 nCoV-19. © 2021 IEEE.

7.
Brazilian Journal of Infectious Diseases ; 26, 2022.
Article in Portuguese | EMBASE | ID: covidwho-1693873

ABSTRACT

Introdução: a Mucormicose é uma infecção fúngica extremamente rara e grave, causada por fungos da ordem Mucorales, a qual pode ser classificada em 6 categorias: cutânea, rinocerebral, pulmonar, gastrointestinal, disseminada e formas raras incomuns. A manifestação clínica imediata varia de acordo com a topografia e o seu diagnóstico frequentemente é atrasado devido a inespecificidade dos sintomas, sendo os exames padrão-ouro para o diagnóstico a biópsia e a avaliação histopatológica dos tecidos infectados. Em relação ao tratamento, este pode ser feito cirurgicamente pelo desbridamento da lesão, ou por meio de antifúngicos, na qual a Anfotericina B com formulação lipídica é o medicamento de primeira escolha. Descrição do caso: Paciente pediátrico do sexo masculino, 10 meses de vida, sem diagnóstico de doenças prévias e com RT-PCR negativo para COVID-19, apresentando lesão aparentemente infiltrativa em face há 4 meses. Foi transferido de hospital oncológico infantil para o Hospital Universitário João de Barros Barreto, referência no tratamento de doenças infecciosas, após a biópsia descartar neoplasia maligna e sugerir infecção fúngica. Neste hospital, o paciente foi admitido acompanhado da mãe, em bom estado geral, sem queixas clínicas, apresentando os resultados diagnósticos do histopatológico e da tomografia computadorizada dos seios da face, os quais demonstraram lesão expansiva, heterogênea e infiltrativa no tecido subcutâneo, compreendendo a área ocular, interocular frontal e nasomalar direita, com inflamação crônica apontando granuloma, necrose e estruturas fúngicas sugestivas de mucormicose. Em sua admissão, realizou exames laboratoriais, os quais apresentaram discreta anemia, microcitose, anisocitose e leucocitose, além de função renal e hepática preservadas e ionograma sem alterações significativas. Iniciou antibioticoterapia no primeiro hospital e deu prosseguimento com Anfotericina B Complexo Lipídico após transferência para o tratamento da mucormicose. Ao finalizar o processo terapêutico, obteve alta hospitalar, na qual a mãe foi instruída a realizar hidratação da pele do bebê, e orientada acerca do tratamento para a anemia e da necessidade de acompanhamento com imunologista. Comentários: Ante o exposto, é imperioso que o diagnóstico seja feito precocemente, para que o manejo da infecção seja o menos traumático e com a menor quantidade de sequelas possíveis para o paciente.

8.
EuropePMC;
Preprint in English | EuropePMC | ID: ppcovidwho-327450

ABSTRACT

ABSTRACT Background SARS-CoV-2 emerged in the UK in January 2020 and spread rapidly in different communities. The UK Government introduced a series of measures including national ‘lockdowns’ and regional ‘tiers’ to control virus transmission. As the outbreak continued, new variants were detected through two national disease monitoring programmes. Longitudinal records of their emergence and spread provide information with which we investigate factors affecting disease spread and the effectiveness of interventions. Methods We analysed the spatio-temporal dynamics of positive tests for COVID-19 on Teesside, UK throughout 2020. We investigated putative risk factors for infection, specifically, socio-economic deprivation, weather, and government interventions (lockdown). We used a combination of disease mapping and mixed-effect modelling to investigate the dynamics of positive tests from two sampling strategies and the spread of particular variants of the virus as they emerged on Teesside. Results SARS-CoV-2 spread was related to the extent of social deprivation, lockdown interventions and weather conditions over the period of the study. Cases in the first wave appeared to be associated with the first lockdown, but interventions had less impact on the second wave. Conclusions There was spatial and temporal heterogeneity in the distribution of different lineages, with spread faster in some lineages than others and varying across the region. Positive tests within region appeared to be related to levels of socio-economic deprivation. The interventions appeared to have different effects in the two waves of disease, and were associated with reduced numbers of records in the first wave, but having no effect during the second.

10.
Annals of the Rheumatic Diseases ; 80(SUPPL 1):916-917, 2021.
Article in English | EMBASE | ID: covidwho-1358893

ABSTRACT

Background: The novel coronavirus emerged in 2019 in Wuhan has caused a global pandemic of coronavirus disease (COVID-19). Immune-mediated diseases (IMID), as inflammatory arthritis or inflammatory bowel disease (IBD), have some special implications due to their pathogenesis and treatments. Some treatments employed in IMID are now being used in the treatment of severe COVID-19. There still exists controversy about IMID behavior and its complications. 1, 2 Objectives: To assess COVID-19 severity in IMID patients and its prognosis predictors. Methods: An observational retrospective multicenter study was performed in two Spanish Hospitals (Clinical University Hospital in Santiago De Compostela and Gregorio Marañón Hospital). Patients were selected if they were diagnosed of an IMID (rheumatoid arthritis, psoriatic arthritis, espondyloarthritis, ulcerative colitis and Crohn's disease) and had COVID-19 infection between February and April 2020. Demographic, clinical, analytical and treatment data were collected. Logistic regression was used to evaluate potential predictors. Stata 15.1 was used to perform statistical analysis. Results: 91 patients were recruited. 55 suffered from a rheumatic disease and 36 suffer IBD. Baseline characteristics are shown in Table 1. Univariable analysis reached age, comorbidity, female gender, flu vaccine, arthropathy, basal classical synthetic anti-rheumatic drugs (csDMARD), pneumonia and basal C-reactive protein (CRP) as potential predictors of non-severe (absence of death, respiratory insufficiency, intensive care unit admission or sepsis) COVID-19 disease (p < 0.2). After multivariable analysis, only female gender (OR 4.60 [CI95% 1.00, 21.2] p=0.050), lower age (OR 0.94 [CI95% 0.88, 1.00] p=0.042) and lower basal levels of CRP (OR 0.87 [CI95% 0.77, 0.97] p=0.010) were predictors for non-severe disease (p < 0.005). Mean time of healing (symptoms solved in outpatient and hospital discharge in admitted) from COVID-19 was 13.8 days (SD 16.3). Univariable analysis showed arthropathy, COVID-19 symptomatic and basal glucocorticoids (GC) dose as potential predictors of higher time-to-healing from COVID-19 disease (p < 0.2). After multivariable analysis, only lower GC basal dose predicts higher time-tohealing (OR -1.83 [CI95% -2.81, -0.84] p=0.001). 11 patients deceased because of COVID-19. Univariable analysis reached age, basal csDMARD, pneumonia and basal CRP as potential predictors of COVID-19 mortality (p < 0.2). After multivariable analysis, only higher age was a predictor for mortality (OR 1.14 [CI95% 1.04,1.25] p=0.006). Conclusion: IMID patients showed similar predictors of mortality than general population involving COVID-19. Immune-modulating agents did not seem to overshadow the prognosis of COVID-19 infection. Female gender, lower age and lower basal CRP could select a cohort of “good” prognosis patients with mild COVID-19 disease as well higher age points out the worst prognosis. Even that, each case should be individiualized.

11.
Annals of the Rheumatic Diseases ; 80(SUPPL 1):1173-1174, 2021.
Article in English | EMBASE | ID: covidwho-1358841

ABSTRACT

Background: Chloroquine (CQ) and hydroxychloroquine (HCQ) have been employed in a huge range of indications, from autoimmune diseases (such as rheumatoid arthritis [RA], cutaneous lupus or systemic erythematosus lupus [SLE]) to infectious ones (as malaria or helminthiasis).1 A newer purpose came upon the new coronavirus disease 2019 (COVID-19), where they seem to be effective modulating immune response. Controversial results have been published from clinical and observational data concerning its effectiveness.2 Ocular toxicity have been described as a serious adverse event of these antimalarial drugs and screening protocols have been displayed for its prevention.3 Objectives: To evaluate CQ/HCQ ocular toxicity and to identify potential predictors of appearance. Also to asses screening protocols compliance. Methods: Demographic, diagnostic and treatment data were collected from patients under CQ or HCQ treatment in the Clinical University Hospital in Santiago De Compostela (Spain) during the first wave of the COVID-19 pandemic (January to April 2020). Univariable logistic regression was performed to identify potential predictors of maculopathy. Variables with p<0.20 were selected for multivariable testing. Stata 15.1 was used to perform statistical analysis. Results: 503 patients taking CQ/HCQ were identified. 495 were women. Most frequent diagnosis were SLE (48.28%), cutaneous lupus (22.85%) and rheumatoid arthritis (RA, 12.54%). Mean age at diagnosis was 44.99 years (SD 17,88). 93.33% of patients were under treatment with HCQ. Mean age at beginning of CQ/HCQ treatment was 48.10 years (SD 17.79) and mean time between diagnosis and CQ/ HCQ onset was 2.03 years (SD 5.50). Mean maximum HCQ dosage per patient was 3.83 mg/kg (SD 1,59;252.57 mg per day, SD 89.98) and CQ was 3.24 mg/kg (SD 1,91;219.49 mg per day, SD 103.90). Mean time under CQ/HCQ treatment was 6.39 years (SD 5.63). 20 patients developed maculopathy. Mean time between CQ/HCQ onset and maculopathy appearance was 2.67 years (SD 3.10). Only 25 patients did not complete ophthalmologic exams for maculopathy screening. After univariable analysis, higher age at diagnosis and age at beginning of CQ/ HCQ treatment were identified as potential predictors of maculopathy (p<0.20). After multivariable analysis, both higher age at diagnosis and higher age at CQ/ HCQ onset were identified as predictors for suffering maculopathy under treatment with CQ/HCQ (OR 1.06 [CI95% 1.03-1.10] p=0.000 and OR 1.09 [CI95% 1.02-1.16] p=0.008, respectively). Conclusion: Ocular toxicity remains as one of the most harmful and disabling adverse events in patients under CQ/HCQ treatment. Higher age at diagnosis and higher age at beginning of treatment appear to be risk factors for maculopathy appearance. Screening protocols are well-assumed by patients and seemed to be helpful for preventing and early identifying events. CQ/HCQ usage in COVID-19 patients should be individualized, specially in older patients, and protocols involving ocular toxicity should be implemented in the follow-up of this population.

12.
21st International Conference on Computational Science, ICCS 2021 ; 12743 LNCS:497-510, 2021.
Article in English | Scopus | ID: covidwho-1342944

ABSTRACT

The first case of Corona Virus Disease (COVID-19) was registered in Wuhan, China, in November 2019. In March, the World Health Organization (WHO) declared COVID-19 as a global pandemic. The effects of this pandemic have been devastating worldwide, especially in Brazil, which occupies the third position in the absolute number of cases of COVID-19 and the second position in the absolute number of deaths by the virus. A big question that the population yearns to be answered is: When can life return to normal? To address this question, this work proposes an extension of a SIRD-based mathematical model that includes vaccination effects. The model takes into account different rates of daily vaccination and different values of vaccine effectiveness. The results show that although the discussion is very much around the effectiveness of the vaccine, the daily vaccination rate is the most important variable for mitigating the pandemic. Vaccination rates of 1M per day can potentially stop the progression of COVID-19 epidemics in Brazil in less than one year. © 2021, Springer Nature Switzerland AG.

13.
Cultura De Los Cuidados ; 25(60):5-19, 2021.
Article in Portuguese | Web of Science | ID: covidwho-1337828

ABSTRACT

To describe the impacts on the mental health of health professionals in the face of the pandemic by COVID-19. An integrative literature review study, searching for articles in the LILACS, SciELO, MEDLINE, SciVerse Scopus databases published in 2020. 169 articles were found, of which 18 met the eligibility criteria. The most prevalent impacts on mental health for health professionals due to the COVID-19 pandemic were anxiety, depression, followed by feelings of fear, stress and insomnia. Nurses are the most affected health professionals followed by doctors. Health professionals experience a unique moment due to the COVID-19 pandemic, in which their mental health has been a concern. Studies are suggested to increase the visibility of collaborative problems for illness in mental health of professionals, their importance and the high rate of causing damage to mental integrity, which may be in effect in the short to long term.

14.
17th Brazilian Symposium on Information Systems: Intelligent and Ubiquitous Information Systems: New Challenges and Opportunities, SBSI 2021 ; 2021.
Article in Portuguese | Scopus | ID: covidwho-1327757

ABSTRACT

With the arrival of COVID-19, the scientific community was mobilized, not only in researches in the biomedical field but also in searching for ways to support professionals working on the front lines of fighting the virus. In the context of information systems (IS), several systems were developed to contribute to this collective effort. In this study, we provide an overview of the profusion of systems designed to support the fight against COVID-19. To achieve this goal, a systematic mapping of the state of art was carried out in patent documents in 2020. The study compared the national technological production to the international scenario and listed the main challenges regarding technological production during COVID-19. © 2021 ACM.

15.
Humanidades & Inovacao ; 8(35):196-209, 2021.
Article in Portuguese | Web of Science | ID: covidwho-1312092

ABSTRACT

The aim of this paper is to demonstrate the impact of the COVID-19 pandemic on families through their relation with social protection, focusing especially on health policy. The importance of Sistema Unico de Saude - SUS for working-class families in the face of the pandemic is indubitable, even as the federal government continually neglects and dismantles Brazil's social protection system. The pandemic comes to further unveil the country's profound social inequality, which turns families socially vulnerable to COVID-19. It would be salubrious for health services to be preserved and enlarged so that they could cater for the social needs of the families, both before the COVID-19 pandemic as well as other health-related issues. Resuming the State's central role as the leader in the fight of the pandemic, together with a strengthening and extension of Brazil's social protection through social security, is imperative.

16.
Psychol Health Med ; 27(2): 428-435, 2022 02.
Article in English | MEDLINE | ID: covidwho-1269457

ABSTRACT

E-health applications can support continuing care for persons with chronic diseases such as multiple sclerosis (MS). We have developed a web-based mobile app called VIOLA to be used at home by persons with MS (pwMS) who previously participated in an innovative multidisciplinary rehab program. The purpose of VIOLA is to reinforce what participants have learned about a healthy lifestyle and to keep them motivated to adhere to rehabilitation programs. As the outbreak of the Covid-19 pandemic has severely curtailed pwMS contact with their usual health providers, we quickly updated VIOLA to grant continuity of care to our home-bound patients.By monitoring pwMS subscriptions to individual modules, we found a definite increase after the national lockdown was declared. Subscribers rated the app very positively.Encouraged by the positive feedbacks, we are planning to extend the access to our app also to pwMS with no prior specific learning experience. This would limit the psychophysical consequences of the lockdown. Furthermore, VIOLA could be effective in maintaining a proper lifestyle, contributing to improve the quality of life of pwMS.VIOLA has the potential of increasing the adherence of pwMS to the rehabilitation confirming that digital communication tools are a valuable solution for those home-bound.].


Subject(s)
COVID-19 , Computer-Assisted Instruction , Multiple Sclerosis , Chronic Disease , Communicable Disease Control , Healthy Lifestyle , Humans , Multiple Sclerosis/epidemiology , Pandemics , Quality of Life , SARS-CoV-2
17.
Revista Educaonline ; 15(2):218-232, 2021.
Article in Portuguese | Web of Science | ID: covidwho-1250050

ABSTRACT

The existence of a worldwide pandemic due to Covid-19 and, consequently, as changes determined by global and local protocols has changed the way that many higher education institutions are reflecting on the symbiotic relationship between education and digital technologies. The quarantine imposed in some countries has revealed the need for actions to continue academic activities in the world. Many Brazilian universities have debated and promulgated resolutions that do not allow to understand how these institutions have reacted to the eminence of emergency remote education and their actions in face of the impossibility of face-to-face classes. In this sense, this paper is a qualitative, documentary, bibliographic research and case study in which we seek to analyse from the reading of the resolution of the State University of Maringa, a way in which this institution deliberated the adoption of digital educational practices. We conclude that the denial of different forms for the educational process can impede the progress of higher education committed to the development of digital humanities.

18.
Proc. - IEEE Int. Conf. Bioinform. Biomed., BIBM ; : 1311-1317, 2020.
Article in English | Scopus | ID: covidwho-1075728

ABSTRACT

By November 2020, the Coronavirus disease 2019 (COVID-19) has infected more than 50 million people worldwide, causing more than 1.2 million deaths. This new contagious disease is not well understood, and the scientific community is trying to comprehend better the interactions of the causative agent of the disease, SAR2-CoV-2, and the immune response to identify its weak points to develop new therapies to impair its lethal effects. Mathematical and computational tools can help in this task: the multiscale interactions among the various components of the human immune system and the pathogen are very complex. In this work, we present a simple system of five ordinary differential equations that can be used to model the immune response to SARS-CoV-2. The model parameters and initial conditions were adjusted to cohort studies that collected viremia and antibody data. The results have shown that the model was able to reproduce both viremia and antibodies dynamics successfully. © 2020 IEEE.

19.
7th International Conference on ICT for Sustainability, ICT4S 2020 ; : 255-266, 2020.
Article in English | Scopus | ID: covidwho-1017156

ABSTRACT

As a pandemic rages and ecosystems around the globe collapse, the LIMITS community-along with the rest of the world-is working to adapt. Some adaptations to adjust to emergencies are easy to imagine. For example, months before in-person conferences were canceled in response to COVID-19, the User Interface Software and Technology (UIST) 2019 conference took significant steps towards hosting a geographically distributed, virtual conference, in part adapting to the global climate emergency. This type of change is conceptually clear, if organizationally challenging. However, many needed changes are conceptually difficult, even in the midst of an existential crisis. It is long-recognized that we need to bridge the separation between scholarly venues and publications that focus on technical aspects of computing systems (i.e., "applied") and those that center social and political aspects of computing systems research and design, particularly when attempting to address complex life-wide problems. Yet, disciplinary crystals (e.g., siloes) remain resistant to change. The authors of this paper contribute to ongoing socio-technical efforts, identifying dominant practices and forces that reinforce the socio-technical divide, and holding up empirical projects that offer promising alternatives. We resist the dominant norm to claim that our contributions to scholarship are original, cutting-edge, or unique. Rather this paper revisits a research paradigm from the past because it remains useful and generative for the computing research communities of the future. Through our inquiry we identify a long-standing tendency to include a pivot-a distinct turn to privilege the design of new digital artifacts-even in papers advocating for more expansive conceptualizations of interactive systems. While acknowledging the importance of the initial design of material artifacts (and their associated infrastructures), we reject the assumption that the ultimate "good"of computing or interactive design research is creating new digital artifacts/tools for the marketplace. We offer four provocations to help us understand why material-based, industry-oriented narratives dominate applied venues of computing. Empirical examples from projects around the world, including work that extends the relational and temporal boundaries of computing design, offer alternative approaches. Fundamentally, we ask readers to consider the type of research that the LIMITS community values and in what ways is this scholarship of value to a world in crisis. How does LIMITs research matter?. © 2020 ACM.

20.
9th Brazilian Conference on Intelligent Systems, BRACIS 2020 ; 12319 LNAI:511-520, 2020.
Article in English | Scopus | ID: covidwho-897935

ABSTRACT

In this paper, we explore the fine-grained opinion identification and polarity classification tasks using twitter data on the COVID-19 pandemic in Brazilian Portuguese. We trained machine learning-based classifiers using a few different methods and tested how well they performed different tasks. For polarity classification, we tested a cross-domain strategy in order to measure the performance of the classifiers among different domains. For fine-grained opinion identification, we provide a taxonomy of opinion aspects and employed them in conjunction with machine learning methods. Based on the obtained results, we found that the cross-domain data improved the results of the polarity classification. For fine-grained opinion identification, the use of a domain taxonomy presented competitive results for the Portuguese language. © 2020, Springer Nature Switzerland AG.

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