Aspectos de qualidade em jogos sérios digitais

Os jogos vêm ganhando cada vez mais espaço como uma ferramentapedagógica em diversas áreas de conhecimento. Nesse contexto, é importante ressaltar que é necessário um processo robusto de desenvolvimento centrado no jogador, cujas características e experiências almejadas pelo usuário tenham o maior foco. Para isso, este artigo objetiva analisar os aspectos de qualidade em jogos sérios digitais para apoiar o processo de ensino e aprendizagem de estudantes da área de Ciência da Computação. Os aspectos são os requisitos de qualidade do jogo e a experiência do usuário (jogador). Foi realizado um survey a fim de entender a relevância destes aspectos. Houveram 166 participantes e a partir das respostas deles, foi elaborado um ranking dos requisitos de qualidade e experiência do jogador mais importantes para a amostra. No aspecto de requisitos de qualidade os dois principais foram e jogo ter um design atraente e oferecer feedback enquanto para a experiência do jogador foram o jogo gerar o sentimento de satisfação em jogar e aprender e produzir o sentimento de confiança que o próprio jogador vai aprender o conteúdo proposto pelo jogo

A concept-environment for computer-based augmentative and alternative communication founded on a systematic review

Introduction: locked-In Syndrome is admittedly the worst case of motor and speech impairment, it seriously damages the ability of oral and gestural communication of patients. In recent years, alternative and augmentative communication technology has provided resources to restore these patients' ability to communicate. Methods: in order to relate and classify the main methods with that purpose, this work conducted a systematic review on several journal databases. Results: we found 203 related papers and 55 of them were selected to compose the study. After that, we classified them into three major groups and we identified the main difficulties when using each approach. Conclusion: in order to overcome these difficulties, we propose a new system concept to develop an adaptive, robust and low cost communication environment. The proposed system is composed of five modules: data entry, communication, aid to the caregiver and external interaction

Effect of different Bacillus thuringiensis strains on the longevity of Africanized honey bee

The aim of this study was to assess the effects of three strains of Bacillus thuringiensis (Bt) on the longevity of workers of Africanized honey bee. Solutions at a concentration of 3 × 108 spores.mL-1 (dosage) were prepared for each strain of Bt (IPS 82, BR 81, and BR 147). Three bioassays were performed as follows: spraying on the bees, contact with the sprayed surface, and candy paste incorporated with Bt. The bees of the Bt bioassay were submitted to histological analysis of the mesenteron. The longevity of workers was assessed from one to 120 hours using different ranges. It was found that the bees that were exposed to the strain of Bt IPS 82, in the spraying test, exhibited a reduced longevity. In the contact test, the BR 147 strain reduced the longevity of the bees. In the food test, in turn, the three studied strains reduced the longevity of the bees as follows: Bt IPS 82: 64.5 hours; Bt BR 81: 64.5 hours; and Bt BR 147: 60.0 hours. The Bt BR 81 strain was considered the most selective of the evaluated strains on Apis mellifera, reducing the longevity of this bee only when it came into contact by the method of ingestion

Ficolin-1 and Ficolin-3 Plasma Levels Are Altered in HIV and HIV/HCV Coinfected Patients From Southern Brazil

The complement system is a key component of the innate immune system, participating in the surveillance against infectious agents. Once activated by one of the three different pathways, complement mediates cell lysis, opsonization, signalizes pathogens for phagocytosis and induces the adaptive immune response. The lectin pathway is constituted by several soluble and membrane bound proteins, called pattern recognition molecules (PRM), including mannose binding lectin (MBL), Ficolins-1, -2, and -3, and Collectin 11. These PRMs act on complement activation as recognition molecules of pathogen-associated molecular patterns (PAMPs) such as N-acetylated, found in glycoproteins of viral envelopes. In this study, Ficolin-1 and Ficolin-3 plasma levels were evaluated in 178 HIV patients (93 HIV; 85 HIV/HCV) and 85 controls from southern Brazil. Demographic and clinical-laboratory findings were obtained during medical interview and from medical records. All parameters were assessed by logistic regression, adjusted for age, ancestry, and sex. Significantly lower levels of Ficolin-1 were observed in HIV/HCV coinfected when compared to HIV patients (p = 0.005, median = 516 vs. 667 ng/ul, respectively) and to controls (p < 0.0001, 1186 ng/ul). Ficolin-1 levels were lower in males than in females among HIV patients (p = 0.03) and controls (p = 0.0003), but no association of Ficolin-1 levels with AIDS was observed. On the other hand, Ficolin-3 levels were significantly lower in controls when compared to HIV (p < 0.0001, medians 18,240 vs. 44,030 ng/ml, respectively) and HIV/HCV coinfected (p < 0.0001, 40,351 ng/ml) patients. There was no correlation between Ficolin-1 and Ficolin-3 levels and age, HIV viral load or opportunistic infections. However, Ficolin-3 showed a positive correlation with T CD4 cell counts in HIV monoinfected patients (p = 0.007). We provide here the first assessment of Ficolin-1 and−3 levels in HIV and HIV/HCV coinfected patients, which indicates a distinct role for these pattern recognition molecules in both viral infections

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio