FullExpression - Emotion Recognition Software

During human evolution emotion expression became an important social tool that contributed to the complexification of societies. Human-computer interaction is commonly present in our daily life, and the industry is struggling for solutions that can analyze human emotions, in an attempt to provide better experiences. The purpose of this study was to understand if a software built using the transfer-learning technique on a deep learning model was capable of classifying human emotions, through facial expression analysis. A Convolutional Neuronal Network model was trained and used in a web application, which is available online. Several tools were created to facilitate the software development process, including the training and validation processes, and these are also available online. The data was collected after the combination of several facial expression emotion databases, such as KDEF_AKDEF, TFEID, Face_Place and jaffe. Software evaluation reveled an accuracy in identifying the correct emotions close to 80%. In addition, a comparison between the software and preliminary data from human’s performance, on recognizing facial expressed emotions, suggested that the software performed better. This work can be useful in many different domains such as marketing (to understand the effect of marketing campaigns on people’s emotional states), health (to help mental diseases diagnosis) and industry 4.0 (to create a better collaborating environment between humans and machines).Durante a evolução da espécie humana, a expressões de emoções tornou-se uma ferramenta social importante, que permitiu a criação de sociedades cada vez mais complexas. A interação entre humanos e máquinas acontece regularmente, evidenciando a necessidade da indústria desenvolver soluções que possam analisar emoções, de modo a proporcionar melhores experiências aos utilizadores. O propósito deste trabalho foi perceber se soluções de software desenvolvidas a partir da técnica de transfer-learning são capazes de classificar emoções humanas, a partir da análise de expressões faciais. Um modelo que implementa a arquitetura Convolutional Neuronal Network foi escolhido para ser treinado e utilizado na aplicação web desenvolvida neste trabalho, que está disponível online. A par da aplicação web, diferentes ferramentas foram criadas de forma a facilitar o processo de criação e avaliação de modelos Deep Learning, e estas também estão disponíveis online. Os dados foram recolhidos após a combinação de várias bases de dados de expressões de emoções (KDEF_AKDEF, TFEID, Face_Place and jaffe). A avaliação do software demostrou uma precisão na classificação de emoções próxima dos 80%. Para além disso, uma comparação entre o software e dados preliminares relativos ao reconhecimento de emoções por pessoas sugere que o software é melhor a classificar emoções. Os resultados deste trabalho podem aplicados em diversas áreas, como a publicidade (de forma a perceber os efeitos das campanhas no estado emocional das pessoas), a saúde (para um melhor diagnóstico de doenças mentais) e na indústria 4.0 (de forma a criar um melhor ambiente de colaboração entre humanos e máquinas)

Estudo de um método para projectar sistemas de escape de um motor de combustão interna a 4 tempos

Tese de mestrado integrado. Engenharia Mecânica. Faculdade de Engenharia. Universidade do Porto. 201

As cesarianas em Portugal continental: fatores explicativos

Mestrado em EconomiaEste trabalho analisa a indução da procura por parte dos médicos obstetras/ ginecologistas e os fatores explicativos das cesarianas em Portugal Continental. Com base em dados do INE agregados em NUTS II, para o período de 2002 a 2010. Estimou-se um modelo Binomial Negativo para Dados em Painel. Concluímos que as mães com idade entre os 20-34 anos, as mães empregadas e desempregadas ou inativas, e o número de médicos obstetras/ ginecologistas tendem a afetar de forma positiva e significativa a taxa de cesarianas em Portugal Continental.This study examines the induction of demand by obstetricians/ gynecologists and explanatory factors for cesarean section in Portugal. Based on INE data aggregated at NUTS II, for the period 2002 to 2010. Estimated a Negative Binomial model for Panel Data. We conclude that the mothers aged 20-34 years, mothers employed and unemployed or inactive, and the number of obstetricians/ gynecologists tend to affect positively and significantly the rate of cesarean delivery in Portugal

The Impact of Sars-Cov-2 on Educational Climate in Dental Students in Instituto Universitário de Ciências da Saúde

Introduction: Students' perception of EC influences academic performance, and its analysis provides essential information to improve it. Objective: To evaluate the perception of 3rd and 5th grade students regarding EC, BP and DP. Compare results obtained BP with institutions in different countries. Materials and Methods: A descriptive, cross-sectional study involving IUCS MIMD students, who answered the DREEM questionnaire, between March 20 and April 20, 2021. Results: The overall DREEM and its 5 subscales were analyzed, with BP as PD, the perception was "more positive than negative". There were statistically significant differences when comparing the results obtained by 3rd and 5th grade students, BP and PD, with effect magnitude from high to very high. It is noteworthy that 3rd graders have more positive perceptions compared to 5th graders, BP and DP. Discussion: The 3rd year students felt more strongly the difficulties inherent to the Covid-19 pandemic, while in the 5th year students DP was less significant compared to the BP period, perhaps due to the fact that they maintain the face-to-face clinical classes. A negative point is associated with the scarce support system for students with stress problems. Conclusion: The CE and its subscales are perceived more positively than negatively by IUCS students. The SP subscale was the most positively evaluated and the TP obtained lower results. When compared to studies conducted in other countries, the IUCS is one of the institutions with more satisfactory results

Disorder and dephasing effect on electron transport through conjugated molecular wires in molecular junctions

Understanding electron transport processes in molecular wires connected between contacts is a central focus in the field of molecular electronics. Especially, the dephasing effect causing tunneling-to-hopping transition has great importance from both applicational and fundamental points of view. We analyzed coherent and incoherent electron transmission through conjugated molecular wires by means of density-functional tight-binding theory within the D'Amato-Pastawski model. Our approach can study explicitly the structure/transport relationship in molecular junctions in a dephasing environmental condition using only single dephasing parameter. We investigated the length dependence and the influence of thermal fluctuations on transport and reproduced the well-known tunneling-to-hopping transition. This approach will be a powerful tool for the interpretation of recent conductance measurements of molecular wires.Comment: 6 pages, 7 figures, accepted for publication in Phys. Rev.

Low-cost SARS-CoV-2 vaccine homogenization system for Pfizer-BioNTech covid-19 vials

The current SARS-CoV-2 pandemic has been affecting all sectors worldwide, and efforts have been targeting the enhancement of people’s health and labour conditions of collaborators belonging to healthcare institutions. The recent vaccines emerging against covid-19 are seen as a solution to address the problem that has already killed up to two million people. The preparation of the Pfizer-BioNTech covid-19 vaccine requires a specific manipulation before its administration. A correct homogenization with saline solution is needed and, therefore, a manual process with a predefined protocol should be accomplished. This action can endanger the operators’ ergonomics due to the repetitive movement of the process. This paper proposes a low-cost prototype incorporating an arduino based embedded system actuating a servomotor to perform an autonomous vials’ homogenization allowing to redirect these healthcare workers to other tasks. Moreover, a contactless start order process was implemented to avoid contact with the operator and, consequently, the contamination. The prototype was successfully tested and recognised, and is being applied during the preparation of the covid-19 vaccines at the hospital pharmacy of Centro Hospitalar de Vila Nova de Gaia/Espinho, E.P.E., Portugal. It can be easily replicated since the source files to assemble it are provided by the authors.The developers of this system thank the pharmacy department of the Centro Hospitalar de Vila Nova de Gaia/Espinho, E.P.E for supporting the implementation, tests and validation of the proposed system. This work is financed by National Funds through the Portuguese funding agency, FCT - Fundac¸ao˜ para a Ciencia e a Tecnologia within project UIDB/50014/2020info:eu-repo/semantics/publishedVersio

A CAUSALIDADE NEWTONIANA É DETERMINANTE PARA A CAUSALIDADE HUMIANA?

The present article aims to analyze if the causality, as presented by David Hume, has any influence from the causality as developed by Newton, as some authors defend. Therefore, this article analyses the philosophical context which inserted Newton, how Hume evaluates Newton, and if his definitions of causality intertwine.O presente artigo tem por objetivo analisar se a causalidade, conforme apresentada por David Hume, recebeu alguma influência da causalidade conforme desenvolvida por Newton, segundo defendem alguns autores. Para tanto, será analisado o contexto filosófico em que Newton estava inserido, como Hume avalia Newton e se suas definições de causalidade dialogam

Manejo terapêutico da fibromialgia : uma revisão de diretrizes e recomendações

A fibromialgia (FM) é uma síndrome caracterizada dor crônica generalizada de etiologia desconhecida, dificultando a padronização de um tratamento efetivo e seguro. As diretrizes são úteis para orientar sobre o seu manejo, porém há desafios na implementação destas na prática clínica. Este trabalho teve como objetivo realizar uma revisão da literatura das diretrizes mundiais sobre o manejo farmacológico da FM para identificar os tratamentos utilizados, a dose recomendada, a duração do tratamento e o nível de evidência de cada estudo. Foi realizada uma pesquisa na base de dados Pubmed de artigos publicados no período de 01/01/2014 a 31/07/2019. A seleção dos artigos apresentou os seguintes critérios de inclusão: tratamento farmacológico, diretrizes e recomendações para o manejo da FM. Além disso, realizou-se uma busca manual das diretrizes e documentos oficiais nas sociedades científicas relacionadas, no ministério da saúde e no buscador Google®. Foram encontrados 12 artigos de revisão e 08 documentos oficiais, totalizando 20 estudos/documentos para análise. Quanto as características dos estudos, percebeu-se que o continente europeu foi o que mais apresentou publicações sobre o seu manejo farmacológico. Os artigos e documentos oficiais indicam o predomínio do tratamento da FM com os medicamentos amitriptilina, duloxetina, pregabalina, analgésicos e opioides. Em relação às recomendações e indicações das diretrizes, a amitriptilina foi amplamente recomendada para o tratamento da FM na faixa de dose de 10 a 60 mg/dia. Na classe dos Inibidores da Recaptação da Serotonina e da Noradrenalina, a duloxetina foi indicada em todos os estudos na faixa de dose de 60 a 120 mg/dia. Em relação a duração de tratamento preconizada, observou-se que na classe dos antidepressivos, a amitriptilina foi o único medicamento com recomendação de duração de tratamento que poderia variar de 08 a 24 semanas. Este estudo contribuiu para uma visualização do panorama de tratamento da FM no mundo, identificando a complexidade existente no manejo do paciente e os principais desafios encontrados na escolha de um tratamento padrão e que seja efetivo e seguro para esta condição clínica.Fibromyalgia (FM) is a syndrome characterized by generalized chronic pain of unknown etiology, making it difficult to standardize effective and safe treatment. Guidelines are useful for orient their management, but there are challenges in implementing them in clinical practice. This study aimed to perform a literature review of worldwide guidelines on FM pharmacological management to identify the treatments used, the recommended dose, the duration of treatment and the level of evidence of each study. A search was performed on the database Pubmed about articles published from 01/01/2014 to 31/07/2019. The selection of articles had the following inclusion criteria: pharmacological treatment, guidelines and recommendations for FM management. Moreover, a manual search of guidelines and official documents was conducted in related scientific societies, the ministry of health, and the Google® search engine. Were found 12 review articles and 08 official documents, totaling 20 studies / documents for analysis. Regarding the characteristics of the studies, it was noticed that the european continent presented the most publications about its pharmacological management. Official articles and documents indicate the predominance of FM treatment with amitriptyline, duloxetine, pregabalin, analgesics and opioids. About the guidelines recommendations and indications, amitriptyline was widely recommended for the treatment of FM in the dose range of 10 to 60 mg/day. In the Serotonin and Noradrenaline Reuptake Inhibitor class, duloxetine was indicated in all studies in the dose range 60 to 120 mg/day. Regarding the recommended treatment duration, it was observed that in the antidepressant class, amitriptyline was the only drug with recommended treatment duration that could vary from 08 to 24 weeks. This study contributed to an panorama view of the FM in the world, identifying the complexity of patient management and the main challenges encountered in choosing a standard treatment that is effective and safe for this clinical condition