Chatbots para cidades Inteligentes: um mapeamento sistemático em bases acadêmicas e tecnológicas / Chatbots for Smart cities: a systematic mapping on academic and technological bases

A área das Cidades Inteligentes, está crescendo cada vez mais; por se tratar de uma temática que envolve outras áreas, pode ser difícil de conseguir uma definição que abranja todos os contextos. Porém, sabe-se que a utilização da tecnologia para solucionar as necessidades das pessoas que habitam as cidades é algo fundamental. Diante disto, tecnologias como as de chatbots, que são programas de computador que simulam um ser humano em conversação com outras pessoas podem ser uma ferramenta de fácil adesão em Cidades Inteligentes. O objetivo deste trabalho é mapear no âmbito científico e no âmbito tecnológico os chatbots que podem ser utilizados em Cidades Inteligentes. Para isto, foram pesquisadas as publicações científicas presentes na base de dado da Scopus, e as publicações de Patentes presentes da base da Organização Mundial da Propriedade Intelectual (OMPI ou WIPO, em inglês) acessada pelo portal de Periódicos da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES).Como resultados, foram selecionados 14 trabalhos advindos das bases, publicados entre os anos de 2018 e 2019 de forma crescente e os países que mais publicam são Japão, China e India. A área com maior número de ocorrências foi a área da Computação e o trabalho pode contribuir para trabalhos futuros tendo em vista a relevância desses temas em conjunto.

Patentometric Profile of Social Water

There are regions of the planet that are affected by climatological conditions that cause water scarcity. Thus, innovative techniques have emerged with the purpose of mitigating the reflexes caused by the natural factor: drought. These innovations arise with the objective of capturing, storing and carrying out rainwater treatment for the population. These, called social water technologies, comprise products, techniques or replicable methodologies that are developed specifically to solve the problem of water shortages. The present work aims to analyze the profile of innovations generated by social water technologies through the LATIPAT, INPI and WIPO bases. To search for patents, keywords that were relevant to the research were used and combined with Boolean operators. 907 patents were identified, the largest concentration of deposits in China, justified by the fact that the country adopts development policies that invest in R&D, differentiating itself from other countries. Among the patents analyzed there is a higher concentration of deposits related to the area of ​​human needs and water treatment

Swimming training potentiates the recovery of femoral neck strength in young diabetic rats under insulin therapy

OBJECTIVE: To test whether swimming training benefits femoral neck strength in young diabetic rats under insulin therapy. METHODS: A total of 60 male Wistar rats (age: 40 days) were divided equally into the following six groups: control sedentary, control exercise, diabetic sedentary, diabetic exercise, diabetic sedentary plus insulin and diabetic exercise plus insulin. Diabetes was induced with a unique intraperitoneal injection (60 mg/kg body weight) of streptozotocin. Seven days after the injection and after 12 hours of fasting, the animals with blood glucose levels X300 mg/dL were considered diabetic. Seven days after the induction of diabetes, the animals in the exercise groups were subjected to progressive swimming training (final week: 90 min/day; 5 days/week; 5% load) for eight weeks. The animals in the insulin groups received a daily dose of insulin (2-4 U/day) for the same period. RESULTS: Severe streptozotocin-induced diabetes reduced the structural properties of the femoral neck (trabecular bone volume, trabecular thickness and collagen fiber content). The femoral neck mechanical properties (maximum load and tenacity) were also impaired in the diabetic rats. Insulin therapy partially reversed the damage induced by diabetes on the structural properties of the bone and mitigated the reductions in the mechanical properties of the bone. The combination of therapies further increased the femoral neck trabecular bone volume (B30%), trabecular thickness (B24%), collagen type I (B19%) and type III (B13%) fiber contents, maximum load (B25%) and tenacity (B14%). CONCLUSIONS: Eight weeks of swimming training potentiates the recovery of femoral neck strength in young rats with severe streptozotocin-induced diabetes under insulin therapy

RECONHECIMENTO DE PADRÕES BIOMÉDICOS UTILIZANDO MÁQUINAS DE APRENDIZADO PROFUNDO

The brain-computer interface is one of the emerging fields of human-computer interaction due to its broad spectrum of applications, especially those that deal with human cognition. In this work, electroencephalography (EEG) is used as base data for classifying the state of the eyes (open or closed) by applying Long Short Term Memory (LSTM) networks and variants. For benchmarking purposes, the EEG data set with the eye state record was used, available in the Machine Learning repository at UCI. The results obtained indicated that the model is applicable to the classification of the data and that its performance is good compared to the more expensive models computationally.A interface cérebro-computador é um dos campos emergentes da interação homem-computador devido ao seu amplo espectro de aplicações, especialmente as que lidam com a cognição humana. Neste trabalho, a eletroencefalografia (EEG) é usada como dado base para classificar o estado dos olhos (abertos ou fechados) aplicando redes Long Short Term Memory (LSTM) e variantes. Para fins de benchmarking, foi utilizado o conjunto de dados de EEG com registro do estado do olho, disponível no repositório de Aprendizado de Máquina da UCI. Os resultados obtidos indicaram que o modelo é aplicável para a classificação dos dados e que seu desempenho é bom comparado aos modelos mais caros computacionalmente

RECONHECIMENTO DE ESTADOS DOS OLHOS UTILIZANDO MÁQUINAS DE APRENDIZADO PROFUNDO A PARTIR DE ONDAS CEREBRAIS

The brain-computer interface is one of the emerging fields of human-computer interaction due to its broad spectrum of applications, especially those that deal with human cognition. In this work, electroencephalography (EEG) is used as base data for classifying the state of the eyes (open or closed) by applying Long Short-Term Memory (LSTM) networks and variants. For benchmarking purposes, the EEG data set with the eye state record was used, available in the Machine Learning repository at UCI. The results obtained indicated that the LSTM and GRU bidirectional cells models are applicable to the classification of the data, presenting an accuracy greater than 95%, and that its performance is good compared to the more expensive models computationally.A interface cérebro-computador é um dos campos emergentes da interação homem-computador devido ao seu amplo espectro de aplicações, especialmente as que lidam com a cognição humana. Neste trabalho, a eletroencefalografia (EEG) é usada como dado base para classificar o estado dos olhos (abertos ou fechados) aplicando redes Long Short-Term Memory (LSTM) e variantes. Para fins de benchmarking, foi utilizado o conjunto de dados de EEG com registro do estado do olho, disponível no repositório de Aprendizado de Máquina da UCI. Os resultados obtidos indicaram que os modelos bidirecionais das células LSTM e GRU são aplicáveis na classificação dos dados, apresentando acurácia superior a 95%, e que seu desempenho é bom comparado aos modelos mais caros computacionalmente

Technological indicators and plant biodiversity: systematic review

The use of plant biodiversity in the elaboration of products or processes contributes to the progress of technological innovation and to the recognition of the profitable potential of biological resources. Therefore, this research aims to perform a systematic review on technological indicators of the use of genetic patrimony, specifically of vegetal biodiversity, to identify concepts and measurement techniques. A systematic survey was carried out at the bases of Scopus, Web of Science, and Science Direct using thematic strings (Genetic Patrimony, Plant Biodiversity and Technological Indicator). The recovered files were exported for analysis in StArt software. There was no mention of the topic, so the systematic review analyzed articles selected by combining strings adopting inclusion and exclusion criteria. The research made it possible to identify relevant and guiding data on the subject studied, but did not reveal the existence of an indicator or index that relates the use of vegetal biodiversity to the production of patents

Tools for providing nutritional information on restaurant meals: Mapping review protocol

The purpose of this review is to look for tools such as apps, software and other technological products used by restaurant managers to generate nutritional information about meals for consumers. This could have an impact on healthier food choices and, consequently, a reduction in the consumption of unhealthy foods and the risk of Noncommunicable diseases (NCDs)

Prospecção Tecnológica sobre Sistemas de Valoração de Tecnologias Protegidas por Patentes e/ou Registros de Programa de Computador

Based on the existing difficulties in the technology valuation processes, including internal demand from NIT/UNIVASF, this research aims to prospect systems of valuation of technologies to solve this necessity. To this, scientific literature review was carried out, as well as the search for national and international patents, in addition to the search for software registered in Brazil and on public bases. No patents were identified, nor were Computer Program Registries (RPC), which allow the valuation of new technologies, the process of which includes steps to help users and allow interaction between the innovation manager and the inventors. From the technological SWOT and ROADMAP matrix, there is a favorable environment for development and market opportunity for a system that implements a friendly valuation process for users from various graduation.A partir das dificuldades identificadas nos processos de valoração de tecnologias, incluindo demanda interna do NIT/Univasf, esta pesquisa tem como objetivo prospectar sistemas de valoração de tecnologias de forma a atender a essa necessidade. Para tanto, foram realizadas revisão de literatura científica sobre o tema, busca de patentes nacionais e internacionais, além da procura de softwares registrados no Brasil e em bases públicas. Não foram identificadas patentes e nem Registros de Programa de Computador (RPC) que permitam a valoração de novas tecnologias, cujo processo inclua etapas de apoio aos usuários e permita interação do gestor de inovação com os inventores. A partir da matriz SWOT e de Roadmap tecnológico, verificou-se ambiente favorável ao desenvolvimento e oportunidade de mercado para um sistema que implemente um processo de valoração amigável para usuários de várias áreas de formação

SUSTAINABILITY INDICATORS AND SOCIAL TECHNOLOGIES IN THE BRAZILIAN SEMI-ARID: A SYSTEMATIC REVIEW

Entre as estratégias inovadoras utilizadas para coexistir com o semi-árido, destaca-se o uso de Tecnologias Sociais, definidas por sua atribuição a um produto ou técnica criada e modificada para solucionar um problema social nos mais variados aspectos. Seu relevante desempenho na atribuição de indicadores de sustentabilidade, que são responsáveis ​​por medir o grau de eficiência e promover o desenvolvimento sustentável. A pesquisa objetiva identificar publicações sobre indicadores de sustentabilidade relacionados ao uso de tecnologias sociais no semiárido. Neste sentido, foi realizado um levantamento bibliográfico seguido da Systematic Review, na qual os artigos foram selecionados por busca da combinação de palavras-chave, ou strings, nas bases do Scopus, Web of Science e Engineering Village. Os resultados da pesquisa foram exportados para análise no software Start adotando critérios de inclusão e exclusão para selecionar artigos que incluíssem o objeto de estudo. A base de dados Scopus apresentou mais publicações nessa área de pesquisa, focando suas publicações em periódicos de sustentabilidade. A revisão sistemática possibilitou verificar a ausência de publicações que envolvam o uso de indicadores de sustentabilidade com as Tecnologias Sociais no semi-árido brasileiro

Swimming training potentiates the recovery of femoral neck strength in young diabetic rats under insulin therapy

OBJECTIVE: To test whether swimming training benefits femoral neck strength in young diabetic rats under insulin therapy. METHODS: A total of 60 male Wistar rats (age: 40 days) were divided equally into the following six groups: control sedentary, control exercise, diabetic sedentary, diabetic exercise, diabetic sedentary plus insulin and diabetic exercise plus insulin. Diabetes was induced with a unique intraperitoneal injection (60 mg/kg body weight) of streptozotocin. Seven days after the injection and after 12 hours of fasting, the animals with blood glucose levels ≥300 mg/dL were considered diabetic. Seven days after the induction of diabetes, the animals in the exercise groups were subjected to progressive swimming training (final week: 90 min/day; 5 days/week; 5% load) for eight weeks. The animals in the insulin groups received a daily dose of insulin (2-4 U/day) for the same period. RESULTS: Severe streptozotocin-induced diabetes reduced the structural properties of the femoral neck (trabecular bone volume, trabecular thickness and collagen fiber content). The femoral neck mechanical properties (maximum load and tenacity) were also impaired in the diabetic rats. Insulin therapy partially reversed the damage induced by diabetes on the structural properties of the bone and mitigated the reductions in the mechanical properties of the bone. The combination of therapies further increased the femoral neck trabecular bone volume (∼30%), trabecular thickness (∼24%), collagen type I (∼19%) and type III (∼13%) fiber contents, maximum load (∼25%) and tenacity (∼14%). CONCLUSIONS: Eight weeks of swimming training potentiates the recovery of femoral neck strength in young rats with severe streptozotocin-induced diabetes under insulin therapy