Using Chatbot Technologies to Support Argumentation

Chatbots are extensively used in modern times and are exhibiting increasingly intelligent behaviors. However, being relatively new technologies, there are significant demands for further advancement. Numerous possibilities for research exist to refine these technologies, including integration with other technologies, especially in the field of artificial intelligence (AI), which has received much attention and development. This study aims to explore the ability of chatbot technologies to classify arguments according to the reasoning patterns used to create them. As argumentation is a significant aspect of human intelligence, categorizing arguments according to various argumentation schemes (reasoning patterns) is a crucial step towards developing sophisticated human-computer interaction interfaces. This will enable agents (chatbots) to engage in more sophisticated interactions, such as argumentation processes

Distributed Theory of Mind in Multi-Agent Systems

Theory of Mind is a concept from developmental psychology which elucidates how humans mentalise. More specifically, it describes how humans ascribe mental attitudes to others and how they reason about these mental attitudes. In the area of Artificial Intelligence, Theory of Mind serves as a fundamental pillar in the design of intelligent artificial agents that are supposed to coexist with humans within a hybrid society. Having the ability to mentalise, these artificial agents could potentially exhibit a range of advanced capabilities that underlie meaningful communication, including empathy and the capacity to better understanding the meaning behind the utterances others make. In this paper, we propose a distributed theory of mind approach in multi-agent systems, in which agents and human users share evidence to reach more supported conclusions about each other’s mental attitudes. We demonstrate our approach in a scenario of stress detection, in which personal agents infer whether their users are stressed or not according to the distributed theory of mind approach

Os aspectos atuais epidemiológicos e clínicos da Monkeypox: uma revisão de literatura

Neste artigo propomos um estudo que visa entender a fisiopatologia da Varíola dos Macacos, bem como seu quadro clínico e sua epidemiologia atual. Revisão de literatura de caráter exploratório, com uma avaliação de pesquisas e casos da prática clínica, em que se fez uma análise da epidemiologia da Varíola dos Macacos e seu quadro clínico. Foram selecionados 31 estudos para compor essa revisão de literatura. Entre as bases de dados selecionadas estão: PubMed, BVS, Google Scholar e SciELO. A análise das pesquisas mostrou uma ascensão da Monkeypox por todo o mundo após o ano de 2022.  A sintomatologia tem sido muito diversa, tendo como principais sinais e sintomas lesões cutâneas, febre e linfadenopatias. A maioria dos casos não precisou de hospitalização. Contudo, em pacientes imunossuprimidos, crianças e gestantes a infecção se mostrou mais perigosa. A Monkeypox deixou de ser endêmica da África Ocidental no ano de 2022 e vem tomando proporções globais desde então. É de suma importância pesquisas epidemiológicas de rotina para que a doença seja controlada de perto e para que os profissionais da saúde tenham consciência de seu quadro clínico para a adequada notificação da doença

Strongly null and strongly meager sets

O presente trabalho tem como objetivo apresentar os conjuntos fortemente nulos e fortemente magros. Mais especicamente, iremos apresentar algumas aplicações e avaliar a independência de ZFC de armações envolvendo tais conjuntos. Com relação às aplicações, daremos alguns exemplos de conjuntos fortemente nulos e fortemente magros, estudaremos a aditividade do ideal formado pelos subconjuntos fortemente nulos da reta real, apresentaremos uma análise da relação entre a propriedade fortemente nulo e translações de subconjuntos da reta, mostraremos equivalências da Conjectura de Borel em espaços métricos, com a armação R-BC e com uma armação envolvendo jogos. Com relação a análise de independência de armações de ZFC, mostraremos que a Conjectura Dual de Borel é independente de ZFC e que a negação da Conjectura de Borel é consistente com ZFC.The present work aims to present the strongly null and strongly meager sets. More specically, we will present some applications and evaluate the independence of ZFC from statements involving such sets. With respect to the applications, we will give some examples of strongly null and strongly meager sets, we will study the additivity of the ideal formed by the strongly null subsets of the real line, we will present an analysis of the relation between the strongly null property and the subsets of the line, of the Borel Conjecture in metric spaces, with the statement R-BC and with a statement involving games. Regarding the analysis of the independence of ZFC statements, we will show that the Borel Dual Conjecture is independent of ZFC and that the negation of the Borel Conjecture is consistent with ZFC

Prediction equations to estimate the demand of energy and crude protein for maintenance, gain and egg production for laying Japanese quails

The study was conducted to estimate requirements of energy and crude protein for maintenance, weight gain and egg production of Japanese quails in the period of 67 to 107 days of age. Two experiments were performed: one, to determine the requirements for maintenance of protein, and the other, for energy. Experiments were conducted in a completely randomized design with four dietary levels of offer and four replicates of six birds. The diets offered were: ad libitum (100%), 75%, 50%, and 25% consumption ad libitum (below maintenance). The methodology used to estimate the demand for maintenance was the comparative slaughter. For estimation of the requirement for weight gain, eight groups of 15 quails were reared separately, fed ad libitum and housed under 22 ºC controlled temperature. From these poultry, three groups were slaughtered at 5, 10, 15, 20, 25, 30, 35 and 40 days of the trial. The requirement for egg production was obtained by taking the ratio of energy content, egg protein, efficiency of energy use and protein for egg production. Prediction equations that estimate maintenance requirement, weight gain and egg production in energy and crude protein of Japanese quail include: metabolizable energy (kcal/bird/day) = 92.34*body weight0.75 + 6.23*weight gain + 4.19*egg mass; crude protein (g/bird/day) = 6.71*body weight0.75 + 0.615*weight gain + 0.258*egg mass

Caracterização e identificação de clones de mandioca produzidas em Roraima para o consumo in natura.

Objetivou-se com esse trabalho caracterizar e identificar clones de mandioca produzidas em Roraima para o consumo in natura. Fez-se o plantio de seis clones de mandioca (Aciolina, Pão, Pão-do- Chile, Água Morna, Enxuta e Amazonas), em fileiras duplas, obedecendo ao espaçamento de 2,0 m x 0,8 m x 0,8 m, totalizando 8.928 plantas ha-1. Utilizou-se o delineamento experimental em blocos casualizados com quatro repetições. Aos oito meses após o plantio realizou-se a colheita das raízes tuberosas, sendo avaliadas quanto ao teor de ácido cianídrico, teor de amido pelo método da balança hidrostática, teor de amido pelo método artesanal, capacidade de soltar a película e entrecasca, cor da entrecasca e cor da polpa crua. Os clones de mandioca foram classificados quanto ao teor de HCN em: Mansas (Enxuta e Pão-do-Chile), intermediárias (Aciolina e Água Morna) e Brava (Pão e Amazonas). O teor de amido obtido pelo método da balança hidrostática superestima o teor de amido pelo método artesanal. O clone Aciolina destacou-se entre os clones para consumo in natura, sendo também recomendado para uso industrial. Os clones Pão e Amazonas apresentam restrições tanto para o consumo in natura quanto para uso industrial

Telehealth multicomponent exercise and health education in breast cancer patients undergoing primary treatment: rationale and methodological protocol for a randomized clinical trial (ABRACE: Telehealth)

Abstract Background Current guidelines emphasize cancer patients should increase their physical activity levels, encouraging physical exercise practice as a complementary therapy to mitigate adverse effects during treatment. Telehealth can be a feasible method to improve adherence and interventional support for breast cancer patients, of which most do not meet sufficient physical activity levels after diagnosis. The Adaptations to Breast Cancer and Exercise Using Telehealth (ABRACE: Telehealth) study aims to investigate the effects of a 12-week telehealth multicomponent training program plus a health education program (MTHE), compared to a health education program alone (HE), on physical and psychological outcomes in breast cancer patients undergoing treatment. Methods This study is a randomized controlled trial. Women undergoing primary treatment (during or after chemotherapy) for breast cancer (stages I–III) will be randomly assigned to MTHE (twice a week) or HE (once a week). MTHE components are mobility, aerobic, balance, resistance, and flexibility home-based exercises, supervised by video call. The primary study outcome is cancer-related fatigue. The secondary outcomes are quality of life, symptoms of depression and anxiety, physical activity level, cancer-related cognitive impairment, and functional capacity. Other outcomes are adherence to interventions and a follow-up questionnaire evaluating the individual perception in motivation, lifestyle changes, and main barriers to participation. All outcomes will be remotely assessed before and after intervention. Our analysis will follow the intention-to-treat approach and per-protocol criteria, with additional sub-group analysis. Discussion To our knowledge, this is the first randomized clinical trial in breast cancer patients using a face-to-face videoconference strategy to supervise physical exercise. Our hypothesis is of superiority for the effects of MTHE on primary and secondary outcomes compared to the effects of only the health education intervention. Trial registration Adaptations to Breast Cancer and Exercise Using Telehealth (ABRACE: Telehealth), NCT04641377. Registered on 23 November 2021, https://clinicaltrials.gov/ct2/show/NCT0464137