bluuebunny/crossref_metadata_2025 huggingface dataset:
Normative reference values of handgrip strength for Brazilian older people aged 65 to 90 years: Evidence from the multicenter Fibra‑BR study
Authors: Reichenheim Michael Eduardo , Lourenço Roberto Alves , Nascimento Janaína Santos , Moreira Virgílio Garcia , Neri Anita Liberalesso , Ribeiro Rodrigo Martins , Lustosa Lygia Paccini , Ferriolli Eduardo
Published: May 2021

Background

Handgrip strength (HGS) is an indicator of muscle strength, suited for evaluating the aging process. Its use depends on the availability of reliable normative reference values (NRV). The main objective of this study is to provide NRV of HGS for Brazilians aged 65 to 90 years.

Methods

Participants were from the Frailty in Brazilian Older People research. 2,999 successful aging (SA) participants comprised the development sample. HGS was measured using a hydraulic dynamometer. Obtaining NRV involved regressing HGS on age per sex-height strata, fitting separate fractional polynomial (FP) models for the mean and coefficient of variation. Model fit was assessed via standardized residuals, probability/quantile plots, and comparing observed to normal expected percentages of participants falling within specified centile intervals. For validation, the latter procedure was applied to 2,369 unsuccessfully aging (UA) participants.

Results

Across strata, the best-fitting models for the means were FP of power 1. FP models for the CV indicated age invariance, entailing steady heteroscedastic age decline in SD since coefficients for the means were negative and SD = CV×mean. All models adjusted well. Centiles distributions for the SA and UA populations showed anticipated patterns, respectively falling on and below the normative expected centile references. Results (NRV) are presented in tables and centile charts. Equations are also provided.

Conclusion

NRV/charts may be endorsed for routine use, while still tested further. They would aid professionals caring for older people, not only to identify those at risk and eligible for immediate provisions, but also in planning prevention and rehabilitation measures.
Project20: Does continuity of care and community-based antenatal care improve maternal and neonatal birth outcomes for women with social risk factors? A prospective, observational study
Authors: Rayment-Jones Hannah , Dalrymple Kathryn , Harris James , Harden Angela , Parslow Elidh , Georgi Thomas , Sandall Jane
Published: May 2021

Background

Social factors associated with poor childbirth outcomes and experiences of maternity care include minority ethnicity, poverty, young motherhood, homelessness, difficulty speaking or understanding English, migrant or refugee status, domestic violence, mental illness and substance abuse. It is not known what specific aspects of maternity care work to improve the maternal and neonatal outcomes for these under-served, complex populations.

Methods

This study aimed to compare maternal and neonatal clinical birth outcomes for women with social risk factors accessing different models of maternity care. Quantitative data on pregnancy and birth outcome measures for 1000 women accessing standard care, group practice and specialist models of care at two large, inner-city maternity services were prospectively collected and analysed using multinominal regression. The level of continuity of care and place of antenatal care were used as independent variables to explore these potentially influential aspects of care. Outcomes adjusted for women’s social and medical risk factors and the service attended.

Results

Women who received standard maternity care were significantly less likely to use water for pain relief in labour (RR 0.11, CI 0.02–0.62) and have skin to skin contact with their baby shortly after birth (RR 0.34, CI 0.14–0.80) compared to the specialist model of care. Antenatal care based in the hospital setting was associated with a significant increase in preterm birth (RR 2.38, CI 1.32–4.27) and low birth weight (RR 2.31, CI 1.24–4.32), and a decrease in induction of labour (RR 0.65, CI 0.45–0.95) compared to community-based antenatal care, this was despite women’s medical risk factors. A subgroup analysis found that preterm birth was increased further for women with the highest level of social risk accessing hospital-based antenatal care (RR 3.11, CI1.49–6.50), demonstrating the protective nature of community-based antenatal care.

Conclusions

This research highlights how community-based antenatal care, with a focus on continuity of carer reduced health inequalities and improved maternal and neonatal clinical outcomes for women with social risk factors. The findings support the current policy drive to increase continuity of midwife-led care, whilst adding that community-based care may further improve outcomes for women at increased risk of health inequalities. The relationship between community-based models of care and neonatal outcomes require further testing in future research. The identification of specific mechanisms such as help-seeking and reduced anxiety, to explain these findings are explored in a wider evaluation.
A k-mismatch string matching for generalized edit distance using diagonal skipping method
Authors: Kim HyunJin
Published: May 2021

This paper proposes an approximate string matching with k-mismatches when calculating the generalized edit distance. When the edit distance is generalized, more sophisticated string matching can be provided. However, the execution time increases because of the bundle of complex computations for calculating complicated edit distances. The computational costs for finding which steps or edit distances are over k-mismatches cannot be significant in the generalized edit distance metric. Therefore, we can reduce the execution time by determining steps over k-mismatches and then skipping them. The diagonal step calculations using the pruning register skips unnecessary distance calculations over k-mismatches. The overhead of control statements and reordered memory accesses can be amortized by skipping multiple steps. Even though the proposed skipping method requires additional overhead, the proposed scheme’s practical embodiments show that the execution time of string matching is reduced significantly when k is small.
El observatorio del noroeste ibérico: emprendimiento social para un territorio sostenible
Authors: Vega Núñez Jorge , Calvo González José Luis
Published: May 2021

El Observatorio Territorial del Noroeste, surgido como acuerdo de colaboración entre la UNED, la Universidad de León y la Fundación Ciudad de la Energía, se puso en marcha en 2011 y con un enfoque bottom up ha venido generando actividades basadas en el conocimiento que, centradas en la innovación y las nuevas tecnologías, han contribuido a crear servicios de valor en el territorio. De esta forma, sobre la base de la participación, los agentes sociales, económicos, ambientales y políticos de la Comarca de El Bierzo como laboratorio del Noroeste vienen colaborando en una Red de Emprendimiento Social que trata de lograr un territorio más sostenible.
Contagem e Classificação de Veículos por Visão Computacional
Authors: Vitor Maus André , Martins Razera Tatiele , Kuntz Roney , Linhares Junior Valdir , Camillo Junior Ademir
Published: May 2021

The increase in the number of vehicles, mainly on urban roads, generates a series of new challenges for traffic managers, being extremely important to know the vehicles that travel on the roads, as well as which routes are most used in intersections. Thus, in this project an application based on computer vision is being presented, capable of detecting vehicles separated by types and which routes are being traveled, thus generating reports that contribute to the organization of traffic.
Modelo de Predição de Conforto de Usuários do Transporte Coletivo
Authors: Barbosa Rolim Vanessa , Baldo Fabiano
Published: May 2021

The small and medium-size cities are facing problems related to mobilitythat could be avoided by adopting the public transportationsystem, as buses and trains. However, in many Brazilian cities theuse of public transportation is neglected because it is considereduncomfortable, expensive and insecure. To attract passengers forsuch kind of transportation there are several possible approaches,the promotion of comfort perception is one of those. Several studieshave already approached this problem, however, few of themaddressed the perception of comfort felt by the passengers usingtelemetry data collected from the vehicle. Among the works thatuse such data, none of them applied data mining techniques toabstract a general model of comfort perception. Therefore, thiswork aims to apply mining techniques over telemetry data collectedfrom vehicles to build a comprehensible model to classifythe level of comfort of public transportation passengers. To achievethis objective machine learning techniques were used, centered ondecision trees. Due to the complexity of abstracting the model therewere constructed three models, one for each acceleration axis thatwere merged using a meta-classifier responsible to point out thepassenger general comfort. The results have reached an accuracyof 85,2%, which can be considered a promising result regardingthe difficulties of separating the data source in sets that can betteridentify the bus drivers behaviour.
O Perfil Socioeconômico dos Concluintes de Computação do Sul do Brasil
Authors: Otávio Oliveira Capelari Luis , Luis Schwerz André
Published: May 2021

Arguably, the computing has become one of the most importantareas in the world, demanding more and more skilled labor. In thisdirection, higher education plays an important role in the trainingof professionals that supply the market demand. To measurethe education quality of these professionals, the Enade evaluatesthe undergraduate’s performance from all higher education institutionsin Brazil. However, only a few studies have explored theinformation provided by the exam and its surveys. Based on the2017 Enade edition, this paper identifies the socio-economic profilesof undergraduate candidates in several computing courses inthe southern region of Brazil. As results, we found out that thecomputing student socio-economic profile consists of white people,male, between 18 and 26 years old and family income of 3 to 6minimum wages. Also, most students have no scholarship, theirparents attended up until high school, the high school completedin public school, and study in the night shift of private institutions.This work summarizes student’s profiles, enabling managers ineducation to introduce new policies to improve higher education.
Sensoriamento Automobilístico Usando Redes Sem Fio e Alerta de Falhas por Voz Sintetizada
Authors: Kneis Janine , Peterson Gandolphi de Almeida Maicol
Published: May 2021

This paper proposes a sensing system for vehicles using an auto- motive scanner with wireless connection for sending data. The connection to the scanner provides data that is sent to a cell phone via a Bluetooth connection and to the cloud . In order to provide a response to the driver as soon as an abnormality appears, an appli- cation was created to emit a synthesized voice warning. The results showed that the driver, through the synthesized voice messages and the system interface, was previously able to become aware of the abnormalities of the vehicle and carry out preventive maintenance.
Um Estudo de Caso de Avaliação de Acessibilidade de Documentos PDF de um Ambiente Virtual de Aprendizagem
Authors: Mariane Morais Silva Letícia , Souza Maia Lucinéia , Aparecida de Assis Gilda
Published: May 2021

Virtual learning environments are commonly adopted by universitiesas classroom teaching support. One of the resources they offerare class presentations, usually in PDF files. Considering that webaccessibility is essential to allow users with some limitations tounderstand, interact, operate and navigate web content, this articlepresents an assessment of the accessibility of PDF documents madeavailable on Moodle. The methodology used a hybrid approachcomprised techniques and practices for assessing human-computerinteraction and assessing accessibility with users simulating blindness.A quantitative analysis of the data was carried out consideringthe accessibility problems faced by users in elements such as tables,graphs, mathematical formulas, expressions in foreign languagesand presentation topics. The results indicated accessibility problemsin all documents in the sample, even causing users to drop outduring the evaluations.
Implementando o Gitflow para Gerencia de Configuração em um Projeto de Desenvolvimento de Software Ágil: Um Relato de Experiência
Authors: Rivero Luis , Silva Italo , Cutrim Pedro , Paiva Anselmo , Oliveira Milton , Alves Erika , Braz Junior Geraldo , Dias Domingos
Published: May 2021

In software engineering, Software Configuration Management is a set of support activities that allows for the orderly absorption of changes inherent to software development. For that, organization models for code versioning like Gitflow have been proposed. In Gitflow, two fixed branches (master and develop) are used to store the project history and be the starting point for changes. Despite the popularity of Gitflow for being considered a simple workflow, there are few: (a) reports of its use in practice and / or (b) documentation on how to deploy it in a real environment. This paper presents the process of adapting Gitflow and creating rules for its application in a real software development project. This adaptation took into account the opinions of managers and developers of a team of approximately 30 people within an agile Scrum life cycle. As a result, definitions and documents were generated to keep track of development, in addition to defining the necessary steps for its application considering the development process adopted by the team.
DINO: Roteamento Dinâmico para ITS Considerando Recursos da Rede
Authors: Bernardino de Araújo Matheus , Monteiro Silveira Matheus , Lopes Gomes Rafael
Published: May 2021

Intelligent Transport Systems (ITS) arose as a modern solution to traffic jams and vehicle accidents in the urban environment. A key part of the ITS is Traffic Management (TM), which concerns the planning and route definition of the vehicle. Existing TM solution focuses specifically on urban traffic information, ignoring the issues related to the network infrastructure and the applications at the top of it. Within this context, this paper presents a vehicle routing and re-routing strategy, called DINO, that considers both travel time of vehicles on the roads and the active network flows in the network, aiming to dynamically bring a suitable balance between travel time and packet delivery through a heuristic. The experiments performed suggest that DINO improves the packet delivery of the applications while reduces the average travel time of vehicles.
Blockchain e Sistemas de Reputação em Redes Veiculares: Uma Revisão Sistemática
Authors: Piccolo Fernandes Claudio , Domingos Adriano Daniel , Barros Montez Carlos , Silva Wangham Michelle
Published: May 2021

Vehicular networks form an important pillar of current IntelligentTransportation Systems. Due to its specific characteristics, thesenetworks have been using reputation systems and or trust modelsto ensure security and trustworthiness. In addition, blockchainis a valuable technology that enables the development of thesesystems, addressing privacy, anonymity, and access control issues.This work aims to describe the results of the systematic literaturereviewon blockchain-based reputation systems.We compared someselected works and highlighted the adopted techniques and themain challenges.
Gamificação Aplicada à Educação: Uma Análise Bibliométrica Através do MétodoWebibliomining
Authors: Da Cunha Pontes Edgard , Tognere Gonçalves Márcio , Izo Flávio , Vinco Lucas
Published: May 2021

Gamification has been widely cited as support for the student’sschool process. This growing interest has attracted the attention ofresearchers in the area. Therefore, a study using theWebibliominingmethod was conducted in order to map the scientific productionrelated to gamification techniques applied in education. The dataof this work were researched in the Scopus (Elsevier) database, consideringthe scientific production in the period from 2011 to 2020.The methodological procedures used a descriptive and exploratoryresearch, with a quantitative approach. The results showed 2.911articles with the terms “Education AND Gamification”. After a bibliometricanalysis, it was found that the “peak” of production was inthe year 2019 with 591 articles, which correspond to a differenceof 137 records in relation to the previous year. The year 2020 wasthe year with the highest number of published articles, with 617records. The USA was responsible for 13,60% of the total publishedarticles. Computer Science was found to be the area with the mostarticles indexed (1.932), corresponding to 66,20%. We sought toselect articles to compose the “starting reference” in a bibliographicresearch on the theme "utilization of gamification in education".
Mulheres de TI em um Mundo Masculino: percepções dos homens sobre a atuação do gênero feminino no mercado de trabalho
Authors: Pereira Machado Gabrieli , Tiemi Yada Natália , Pádua Silva Arielyn , De Oliveira Walter Maynara , Iara Pegorini Jéssica , Cristinne Correa Souza Alinne
Published: May 2021

Women have always fought for their place in the Information Technologyarea’s job market. This paper presents a survey conductedwith the male gender of different IT organizations from the southof Brazil. The survey aims to identify their perceptions about genderinequality, the valuing, treatment, opportunities, barriers anddiscrimination, and/or prejudice women suffer in the workplace.The results indicate that 45% of participants consider women in ITcompanies most frequently face those social barriers, and only 19%witnessed some prejudice and/or discrimination.
Parallel Testing in Behavior Driven Development
Authors: De Amorim Felipe , Adamshuk Silva Rodolfo , Costa Lincoln , Carlos Souza Francisco
Published: May 2021

The testing process consists of activities that demand efforts asproducing, executing, and validating test scenarios. Covering alltest scenarios manually is unfeasible since it is error-prone andlabor-expensive. Thereby, partial or complete automation reducescosts and increases tests’ effectiveness. The increasing availabilityof hardware resources provides opportunities to scale testingusing parallel execution of test cases or suites blocks. Some toolsperform parallel execution of tests, but their use requires complicatedsettings, and when combined with some methodologies asBehavior-Driven Development, it may create an overhead for users.This paper presents the Multi-Threaded Testing (MTT) tool for parallelexecution of test scenarios in the context of Behavior-DrivenDevelopment that aims to reduce the computational time requiredto test Java projects. Furthermore, the present paper reports anexperimental study to evaluate the MTT tool’s performance intwo different hardware configurations. Our results demonstrate theMTT reached a speedup of 4,59 using ten threads in CPU Intel Corei5-9300H with an efficiency of 46%, and a speedup of 3,45 with anefficiency of 43% using eight threads in CPU Intel Core i7-7700HQ.
Mineração de Texto para a Análise do Perfil Emocional de Usuários de Jogo Empático
Authors: Dias Martins Leonardo , Pantoja Oliveira Araújo Fabíola
Published: May 2021

Daily, a large amount of data circulates on the Internet, producing a lot of information in the form of images, videos and texts. Then, it is necessary to analyze and extract these information automatically. Therefore, this work presents a case study that applies text mining to extract the emotional and sentimental profiles from the comments of the Last Day of June game users, where the results and the information extracted from the analysis of sentiments were presented. Three classification algorithms were used: Naive Bayes, Support Vector Machine (SVM) and K-Nearest Neighbors (KNN) to predict the class of elements according to the emotions or feelings identified in the comments analysis. As a result, SVM with radial kernel was the one with the best accuracy, with 79%, followed by KNN with 3 closest neighbors, with 75%, and finally, Naive Bayes, with 62%.
Uma Abordagem do Scrum para Gestão de Tempo, Produtividade e Bem-Estar
Authors: Fran Ferreira Dantas Carlos , Targino de Medeiros Rosane , Ligia Leonardo Marques Fernanda
Published: May 2021

Scrum has been a framework widely used in the management of softwareprojects in the perspective of agile development. The successand simplicity of Scrum has motivated its adoption in other fields,such as its version for education - eduScrum. In this sense, thiswork presents a Scrum approach to time and productivity management,incorporating positive psychology practices and techniquesin order to improve the wellness of users. In an initial experiment,proposed as a challenge to volunteers, an impact on the positiveemotions and subjective well-being of about 50% of the participantswas obtained. Participants’ reports indicate that the approachcontributed to better planning, greater organization and focus onactivities, in addition to promoting the well-being of participantswith exercises related to optimism and gratitude.
Intrusion Detection System for AES Encripted Low-Power IoT Networks
Authors: De Oliveira Burger Monteiro Luiz Eduardo , Copetti Alessandro , Bertini Luciano , Fontoura Kazienko Juliano
Published: May 2021

The introduction of the IPv6 protocol solved the problem of providingaddresses to network devices. With the emergence of the Internetof Things (IoT), there was also the need to develop a protocolthat would assist in connecting low-power devices. The 6LoWPANprotocols were created for this purpose. However, such protocolsinherited the vulnerabilities and threats related to Denial of Service(DoS) attacks from the IPv4 and IPv6 protocols. In this paper, weprepare a network environment for low-power IoT devices usingCOOJA simulator and Contiki operating system to analyze theenergy consumption of devices. Besides, we propose an IntrusionDetection System (IDS) associated with the AES symmetric encryptionalgorithm for the detection of reflection DoS attacks. Thesymmetric encryption has proven to be an appropriate methoddue to low implementation overhead, not incurring in large powerconsumption, and keeping a high level of system security. The maincontributions of this paper are: (i) implementation of a reflectionattack algorithm for IoT devices; (ii) implementation of an intrusiondetection system using AES encryption; (iii) comparison ofthe power consumption in three distinct scenarios: normal messageexchange, the occurrence of a reflection attack, and runningIDS algorithm. Finally, the results presented show that the IDSwith symmetric cryptography meets the security requirements andrespects the energy limits of low-power sensors.
Detecção de buracos em pavimento asfáltico com base em Processamento Digital de Imagens e Deep Learning
Authors: Tallita Passos Bianka , Delcio Parreira Wemerson , Maria da Rocha Fernandes Anita , Comunello Eros
Published: May 2021

The road infrastructure conditions are directly related to the safetyand operational cost of transportation. Potholes are defects in thepaving that affect safety on the road. Therefore, identifying potholesis an important step in defining road maintenance and interventionstrategies. Among the approaches used to detect defects in roadsare vibration techniques, laser scanning and 3D reconstruction, andfinally methods that are vision-based. These vision-based methodsutilize image processing, considered low cost and that can be performedby common two-dimensional cameras. This research aimsto combine digital image processing and deep learning concepts facilitatingthe recognition of pothole-like defects in road images withasphalt paving. In order to carry out these experiments, differentnetwork architectures were used.
Investigating Fitness Functions for Search-based Requirements Prioritization
Authors: Corezolla Andrei , Costa Lincoln , Carlos Souza Francisco , Correa Souza Alinne
Published: May 2021

It can be challenging for people to select the most relevant requirementamong several software system development options.Requirements prioritization defines the ordering for executing requirementsbased on their priority or importance concerning stakeholders’viewpoints, which is a problematic task. Based on thisproblem, this study aims to present a requirements prioritizationapproach using a genetic algorithm to find optimal solutions, andit can assist in the requirements prioritization activity during thesoftware development process. In this paper, we investigated aset of criteria to create four functions GUT-D, ThS-D, ST, and LT,to assess candidate solutions, i.e., the recommended prioritizedrequirements. We examine the empirical results concerning thepractical approach’s effectiveness and cost computational two experimentsin the evaluation. We found that the 𝐺𝑈𝑇 − 𝐷 fitnessfunction achieved the best fitness value in different settings with90.51% and 98.63%. Besides that, our study demonstrates that the approachis promising to assist requirements prioritization since eachfitness function can be used individually according to companies’necessities.
Implementação de Chatbot para Aprimorar a Comunicação com Usuários de Serviços Públicos
Authors: Rodrigues da Silva Mônica , Maria da Rocha Fernandes Anita , Falcão da Silva Campos Guilherme
Published: May 2021

This paper describes the study and implementation of a chatbot tohelp users of public services with their most frequent questions.The chatbot was developed based on the TF-IDF (Term Frequency -Inverse Document Frequency) model, using the Python languageand the Django framework. Functions such as registration of questionsand answers, were implemented using the Java language withAPI Restful and Spring Boot, and the MongoDB database. Finally,to enable the interaction of internal and external users with thesystem, front ends were built using the TypeScript language andthe Angular platform. The system is in the testing and validationphase.
A System For Landslides Monitoring Using Wireless Underground Sensor Networks and Cloud Computing
Authors: Beatriz  Pinho Ana , Monteiro André , Henriques Felipe
Published: May 2021

This work presents a system for remote monitoring of landslidesbased on a wireless underground sensor network. The sensor networkis implemented on Arduino components connected throughWi-Fi modules, and is responsible to collect soil moisture rates inreal time. Then, the collected data is sent to a cloud computing environmentin order to ensure a robust and secure storage. Moreover,the cloud platform enables data mining and the visualization of theinformation by the government and general people using an Appdesigned for mobile devices. To analyze the feasibility of the system,real tests were performed using a prototype. The initial resultsshow the sensor network accurately measured the soil moistureand the cloud computing platform was able to store and to displaythe collected data in real time properly to the users.
Experiência Educacional de Desenvolvimento de Protótipos de Robôs Enfermeiros na Pré- Pandemia: O kit MegaMed e MegaHelp
Authors: Corrêa de Lima Anderson , Vieira dos Santos Neto José , Amorim Santana Evandro , Antônio de Castro Junior Amaury , Gomes Regiza
Published: May 2021

This article describes the adoption of a human-computer interaction(HCI) discipline process, as a methodology for learning robotics.The article presents an experience report, which resulted in a courseconclusion work. The objective was to develop robots that couldsimulate the behavior of nurses, in a controlled and hospital environment,they should be able to deliver medicine and water topatients. The process is cyclical and involves multiple tests of eachversion, the establishment of new requirements and the designof the robots. For the validation of requirements, students from apublic and basic school were invited. The result was a robotic kit,which was successful, a very relevant subject in times of pandemic.
Introdução à Geometria Fractal no Ensino Médio Técnico: Uma Abordagem com Programação Python
Authors: Vieira Ferreira Gustavo , Dal Pizzol Maria Weliton , Rodrigues de Melo Adriano
Published: May 2021

This work is inserted in the context of technical high school andit aimed to analyze the integration between the branches of FractalGeometry, Analytical Geometry and Computer Programming.For this purpose, we carried out a bibliographic search about whatcharacterizes and distinguishes Fractal Geometry from EuclideanGeometry, we also seek in our readings to list the most famousfractals. Then, we developed (in python language) several fractalgeneration programs. It was possible to work with amazing andeasily programmable fractal shapes, such as the Cantor Set, theHilbert Curve and Sierpinski Triangle. We also built two new familiesof fractal shapes from a generalization of the Koch Curve. Weconclude that programming fractals in the context of technical highschool is productive and challenging, as it requires many changesin the representations of fractal patterns.
Two Kingdoms: Relato de Desenvolvimento de um Jogo Utilizando Godot Engine
Authors: Guerreiro Gustavo , Vargas Lucas , Zafriel Schmidt Igor , De la Rocha Ladeira Ricardo
Published: May 2021

This paper aims to explain the game development experience creating ‘Two Kingdoms’ an Action RPG with an 8-way movement, top-down camera, focused on exploration, and a multi-stage adventure while ex-plaining the functionalities of the used engine. The different abilities and knowledge necessary to develop a game and how they were learned will also be included, like coding, math, physics, music, art, and storyline creation. The article addresses game creation experience, such as the choosing process of the engine, the tools used for art and music creation, and the explanation of some functions provided by Go-dot Engine for the development of the game presented priorly.
Education Living Labs Uma estratégia de inovação educacional
Authors: Aparecida Martinez Maria , Voigt Nayara , Gesser Verônica
Published: May 2021

Os Living Labs têm sido usados como ambientes ou plataformas colaborativas abertas de inovação em áreas distintas como nas mídias sociais, no desenvolvimento de tecnologias, na saúde, assim como na educação. No referencial teórico, foram abordados autores que tratam dos Living Labs e da necessidade da inovação educacional, como: Moran (2006), Okada e Barros (2010), Silva (2015), Ballon e Schuurman (2015) e Munro (2017). Porém, são escassas as referências acerca do potencial dos laboratórios vivos para o uso educacional (Education Living Labs). Nesse cerne, o objetivo proposto foi caracterizar os Education Living Labs como estratégia potencial para construção de soluções de problemas educacionais de forma aberta e colaborativa. A partir de uma abordagem metodológica qualitativa exploratória, foi utilizada a pesquisa netnográfica, conforme Kozinets (2014). Para a análise dos dados, foi realizada a técnica de análise de conteúdo de Bardin (2011). Como resultado, foram mapeados e caracterizados dezenove Education Living Labs (ELL), ficando evidenciadas características como: a aprendizagem colaborativa, personalizada e baseada em metodologias ativas; a cocriação e compartilhamento de práticas pedagógicas exitosas; bem como a criação de inovações educacionais em relação à tecnologia e sustentabilidade. Dessa forma, entende-se que a presente pesquisa ampliou o repertório sobre os Education Living Labs, salientando suas características potenciais de inovação na educação. Para trabalhos futuros, indica-se a realização de análises sobre as possibilidades e procedimentos de implementação dessa estratégia na educação básica brasileira.
RISCOS E POSSIBILIDADES DO ATIVISMO JUDICIAL NA DEMOCRACIA
Authors: Gesta Leal Rogério
Published: May 2021

RESUMOO objetivo deste trabalho é verificar em que medida é possível conciliar ativismo judicial e democracia, considerando principalmente os desafios que se apresentam as relações sociais contemporâneas. A justificativa desta proposta se sustenta no fato de que o Poder Judiciário tem sido cada vez mais procurado para dar conta de demandas envolvendo as insuficiências das politicas públicas governamentais em face de direitos fundamentais. Demarcamos como problema da abordagem verificar se é possível superar eventuais tensões entre o excesso de ativismo judicial e a democracia enquanto representação politica também institucional de outros poderes, e como hipótese a premissa de que deva-se adotar, para a solução do problema, perspectiva ampliada da atuação do Poder Judiciário a partir da compreensão igualmente oxigenada da Democracia e dos seus outros legítimos protagonistas, sob pena do esvaziamento de instancias importantes de deliberação e decisão política quotidiano. A metodologia utilizada neste trabalho foi a hipotética dedutiva.PALAVRAS-CHAVE: Ativismo Judicial; Democracia; Representação PolíticaABSTRACTThe objective of this work is to verify to what extent it is possible to conciliate judicial activism and democracy, considering mainly the challenges presented by contemporary social relations. The justification of this proposal is based on the fact that the Judiciary has been increasingly sought to deal with demands involving the inadequacies of governmental public policies in the face of fundamental rights. We point out as a problem of the approach to verify if it is possible to overcome possible tensions between the excess of judicial activism and democracy as a political representation also institutional of other powers, and as a hypothesis the premise that it should be adopted, for the solution of the problem, the oxygenated understanding of Democracy and its other legitimate protagonists, under penalty of emptying important instances of deliberation and daily political decision. The methodology used in this work was the hypothetical deductive. KEY-WORDS: Judicial Activism; Democracy; Political Representation
O EMBONDEIRO E A TOLERÂNCIA
Authors: Lacerda Tanure Augusto , Campos Galuppo Marcelo
Published: May 2021

RESUMO O presente artigo têm como objetivo discutir a tolerância e seus limites no tocante à liberdade de expressão. Questionará a possibilidade ou impossibilidade de definir quais discursos deveriam disputar o mercado de ideias democrático. Para tanto, tecerá reflexões a partir do texto: “O embondeiro que sonhava pássaros” de Mia Couto, contrapondo-o às ideias sobre tolerância de Jeremy Waldron em “The Harm in Hate Speech” e Andrew Jason Cohen em “Toleration and Freedom From Harm”. Pretende-se demonstrar que a liberdade de expressão é essencial à tolerância, sendo que suas limitações devem ser as mínimas possíveis. PALAVRAS-CHAVE: tolerância; liberdade de expressão; identidade; violência ABSTRACTThis article aims to discuss tolerance and its limits with regard to freedom of expression. It will question the possibility or impossibility of defining which speeches should compete for the democratic ideas market. To this end, it will uses “O embondeiro que sonhava pássaros” by Mia Couto, contrasting it with the ideas about toleration by Jeremy Waldron in “The Harm in Hate Speech” and Andrew Jason Cohen in “Toleration and Freedom From Harm”. It is intended to demonstrate that freedom of expression is essential to toleration, and its limitations should be kept to a minimum. KEY-WORDS: toleration; freedom of expression; identity; violence
REVITIMIZAÇÃO DE CRIANÇAS E ADOLESCENTES EM INQUIRIÇÕES JUDICIAIS E VIOLÊNCIA INSTITUCIONAL
Authors: Viana Custódio André , Da Rosa Moreira Rafael Bueno
Published: May 2021

RESUMO Analisou-se a revitimização de crianças e adolescentes violentadas sexualmente a partir da obrigatoriedade da inquirição em audiências judiciais, demonstrando-se o marco teórico da proteção integral de crianças e adolescentes, especificando-se o enfrentamento da violência sexual e contextualizando-se a revitimização e violação de direitos em processos judiciais. Utilizou-se da técnica de pesquisa bibliográfica, a partir da análise de livros, artigos científicos, teses, dissertações e legislações, assim como de estudo de caso factual, por meio da análise de indicadores sobre violência sexual contra crianças e adolescentes. O método de abordagem é dedutivo, partindo da análise das premissas gerais sobre o tema e indo especificando, e o método de procedimento é monográfico e o estatístico. Constatou-se que crianças e adolescentes vítimas de violência sexual são submetidas, muitas das vezes, a violência institucional e psicológica que levam a rememorar os fatos traumáticos quando de ações arbitrárias, agressivas, insensíveis e descapacitadas por parte de entes públicos durante a realização de inquirições judiciais, o que gera a revitimização e a violação de direitos.PALAVRAS-CHAVE: adolescente; criança; infância; revitimização; violência sexual.ABSTRACTBased on the compulsory examination as a witness in judicial hearings, the present paper analyses the revitalization of sexually abused children and adolescents, demonstrating the theoretical framework of comprehensive protection of children and adolescents and, at the same time, specifying the confrontation of sexual violence and contextualizing the revictimization and violation of rights in legal proceedings. The present research is based on the technique of bibliographic research from the analysis of books, scientific articles, theses, dissertations and legislations, as well as factual case studies, are used to analyze indicators on sexual violence against children and adolescents. The method of approach is deductive, from the analysis of the general premises on the subject to more specific papers about the topic. The used research methods are the monographic and the statistical procedure. It was found that arbitrary, aggressive, insensitive and disqualified actions by public entities during the conduct of inquiries put children and adolescents victims of sexual violence subjected to institutional and psychological violence that lead to the recall of traumatic events which leads to revictimization and violation of rights.Keywords: adolescent; Child; Childhood; Revictimization; Sexual violence.
Effect of Low-Level Laser Therapy on Peri-Implant Crestal Bone Loss and Pain Reduction during Initial Healing Period
Authors: Danyasi Gayathri , Ramoji Rao Mulpuri Venkata , Manthena Sathish , Preethi Penubolu Lakshmi , Koneru Suneetha , Yalamanchili Pallavi Samatha , Anumolu Venkata Naga Sri Harsha , Ravella Hemanth
Published: May 2021

BACKGROUND In recent days a high success rate has been documented for dental implants as a treatment option for missing teeth replacement. Low level laser therapy (LLLT) is a novel therapeutic modality reported to enhance bone healing. Few studies reported that LLLT enhances proliferation and differentiation of osteoblasts and also reduces postoperative pain. The purpose of this study was to assess if post-operative lowlevel laser irradiation of the implant site has any influence on crestal bone loss and pain reduction around dental implants. METHODS In this split mouth randomised study, 9 subjects with bilateral edentulous sites in the mandibular posterior region willing for replacement were taken into consideration. A total of 30 implants were placed on either side of the mandible followed by Low Level Laser irradiation on the test side immediately after implant placement, on 4th and 7th day. Crestal bone level assessment was done radiographically at 3 months and post-operative pain was assessed using visual analogue scale (VAS) scoring by patients from baseline to 6 days. Statistical analysis was done using unpaired t test for inter group crestal bone loss and Mann-Whitney U test for intergroup pain reduction scores. RESULTS The mean crestal bone loss of control group was 1.40 with a standard deviation of 0.39 and for test group it was 0.76 with a standard deviation of 0.26. A significant difference was observed between control and test groups with respect to crestal bone loss scores at 3 months. On comparing VAS pain scores between the two groups from day 1 to 6, significant difference between the groups was observed on day 2, 3 and 4 with P-values 0.042, 0.0011, 0.0036 respectively. CONCLUSIONS Low level irradiation around the dental implants showed a significant reduction in crestal bone loss and post-operative pain. KEY WORDS Dental Implant, Low Level Laser Therapy, Crestal Bone Loss, Post-Operative Pain
Role of Paediatric Dentist in Non-Invasive Management of Obstructive Sleep Apnoea in Children
Authors: Sethi Megha , Sood Shveta , Sharma Naresh , Singh Akshara
Published: May 2021

BACKGROUND Obstructive sleep apnoea (OSA) is a chronic disorder in which repetitive episodes of cessation of breathing occurs during sleep due to collapse of upper airway leading to recurrent awakening, sleep fragmentation, and perturbation in ventilatory function. The disorder is much more common than realised and the manifestations in children are different from those in adults. OSAS may present in different ways like cognitive dysfunction, excessive day time somnolence, decreased attention span, drooling of saliva, mood disorders like depression or irritability as well as adverse cardiovascular sequelae like hypertension, heart failure. Polysomnography or overnight sleep studies remain the gold standard for the diagnosis of paediatric obstructive sleep apnoea (POSA) disorder. Therapeutic approaches for POSA include surgical and nonsurgical means. The choice of therapy depends on various factors like aetiology, severity of the POSA and patient’s choice. Although continuous positive airway pressure (CPAP) remains the first line therapy in adults, the introduction of oral appliances provided an attractive alternative and made the role of dentists more prominent in management of this disorder. OSA is often under-diagnosed due to lack of awareness. So, it is essential for dentists to be aware of the various aspects of this disorder as well as its management. KEY WORDS OSA, Paediatric Dentist, Oral Appliances, Non-Invasive Management
Effect of COVID 19 Pandemic on Stroke Care and Admission - Single Centre Study
Authors: Alguthmi Mosab , Alshanqiti Mahmoud , Almansour Mohammed , Alqahtani Mohammed Saeed , Asiri Muhannad , Alzahrani Saeed
Published: May 2021

Background
By the start of year 2020, the whole world was attacked by a rapidly spreading epidemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) which later was classified by WHO as Pandemic. some physicians reported multiple neurological manifestations including cerebrovascular strokes in patients with severe infection.

Aim
to assess the incidence of admitted stroke cases during 2019 in comparison to 2020 during COVID-19 pandemic in King Fahd Hospital, Saudi Arabia.

Methodology
A record based retrospective comparative study was conducted by reviewing all medical records for patients who admitted with stroke at King Fahd Hospital during March and April 2019 and March and April 2020. All data were extracted from patients’ medical files included personal data, nationality, date of admission, and stroke related data.

Results
The study included 121 patients whose ages ranged from 33 to 98 years with mean age of 59.9 years. At March 2019, there were 45 cases compared to 26 in March 2020. In April 2019 there were 20 admitted stroke cases compared to 30 in April 2020. Regarding clinical features of admitted stroke cases, Table 3 illustrates that 36.9% of stroke cases in 2019 were small vessel stroke compared to 58.9% of 2020 cases.

Conclusions & Recommendations
In conclusion, the study revealed there was no recorded significant change in the trend of admitted cases with stroke before and during COVID-19 pandemic.
Feasibility of Detecting Brain Areas Involved in Extreme Breath-Hold Diving
Authors: Jissendi-Tchofo Patrice , Jdaoudi Yassin , Germonpré Peter , Cialoni Danilo , Brizzolari Andrea , Musimu Patrick , Balestra Costantino
Published: May 2021

We report Blood Oxygen Level Dependent (BOLD) signal changes recorded in the brain of an elite breath-hold diver during voluntary dry long breath-hold by means of fMRI. An independent component analysis (ICA) method was applied to extract brain areas that are putatively involved in the apnea process network. We discuss the hypothesis that these BOLD signal variations express the functional adaptive diving response under long apnea at rest. This is a preliminary report, which results are promising for large series investigations.
Evaluation of Vitamin D3 metabolite (25-OH Vit D3), Neurotransmitter (ACh), and the Expression of Proinflammatory Cytokines (IL-6 and TNF-α) in Tissue Homogenate after Administration of Biofield Energy Healing-based Novel Proprietary Test Formulation and Biofield Treatment per se to the Animals in Vitamin D3 Deficiency Diet (VDD)-induced Sprague Dawley Rats
Authors: Trivedi Mahendra Kumar , Branton Alice , Trivedi Dahryn , Jana Snehasis
Published: May 2021

A novel proprietary test formulation was designed which included minerals, vitamins, β-carotene, cannabidiol isolate,and Panax ginseng extract. This present study was evaluated the impact of the Trivedi Effect® on novel proprietary test formulation in male Sprague Dawley rats, fed with vitamin D3 deficiency diet (VDD). The novel test formulation was divided into two parts; one part was defined as untreated test formulation, while the other part was defined as the Biofield Energy Treated sample, which received the Biofield Energy Healing Treatment by renowned Biofield Energy Healer, Mr. Mahendra Kumar Trivedi. The level of 25-OH Vit. D3 was measured in brain homogenate, which was found to be increased by 20.13%, 24.12%, 45.86%, 14.79%, and 29.96% in the G5 group treated with Biofield Treated test formulation, Biofield Energy Treatment per se to the animals (G6), 15 days pre-treatment of Biofield Energy Treated test formulation (G7), Biofield Energy Treatment per se plus Biofield Energy Treated test formulation from day -15 (G8), and untreated test formulation to the Biofield Energy Treated animals (G9) groups respectively, as compared with the disease control (G2) group. Brain acetylcholine (ACh) level was increased by 61.33% in the G7 group as compared with the untreated test formulation (G4) group. The expression of interleukin-6 (IL-6) was significantly reduced by 43.44% (p≤0.01), 30.93%, 21.42%, 45.99% (p≤0.01), and 60.85% (p≤0.01), respectively as compared with the G4. Lung pro-inflammatory cytokine tumor necrosis factor alpha (TNF-α) level was significantly reduced in the G5, G6, G7, and G8 by 24.86%, 32.55% (p≤0.01), 30.12% (p≤0.01), and 42.69% (p≤0.01), respectively, as compared with the G4 group. Altogether, the Biofield Treated test formulation and/or per se treatment to the animals significantly improved the levels of active form of vitamin D3 metabolite (25-OH Vit D3) and neurotransmitter (ACh); consequently significantly lowered the expression of proinflammatory cytokines (IL-6 and TNF-α). Therefore, the energized test formulation or per se treatment could be effectively useful against neuronal damage and inflammation for the management of brain disorders such as Alzheimer’s disease, dementias, brain cancer, epilepsy and other seizure disorders, mental disorders, and Parkinson’s. Thus, the results showed a significant slowdown of disease progression and all other disease-related complications/symptoms in the preventive Biofield Energy Treatment group per se and the Biofield Energy Treated Test formulation groups (viz. G6, G7, G8, and G9) as compared to the disease control group.