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Les persones amb el Trastorn de l’Espectre Autista (TEA) es troben amb diverses limitacions que dificulten el seu procés de socialització, com ara el desenvolupament de les emocions. Les persones amb autisme tenen dificultats a l’hora d’identificar, comprendre i expressar les emocions, sigui les pròpies o de les persones del seu entorn, aquest és un aspecte que cal tenir en compte, ja que dificulta el seu desenvolupament personal, social i integral. Per tant, aquest Treball de Final de Grau pretén oferir una proposta d’intervenció educativa per tal de millorar i treballar l’àmbit emocional dels infants amb autisme. D’altra banda, inclou la conceptualització i el desenvolupament de les emocions de les persones amb autisme, ja que són aspectes que cal tenir en compte a l’hora de realitzar la intervenció. Per acabar, s’elabora una guia que recull la programació de la proposta educativa per tal que futurs professionals de la pedagogia, la psicologia i la psicopedagogia puguin aplicar durant les seves primeres intervencions People with Autistic Spectrum Disorder (ASD) find various limitations that hinder their socialization process, as well as the development of emotions. People with autism have difficulties when it comes to identifying, understanding and expressing emotions, their own or from other people who surround, this is an aspect that must be taken into account, since it hinders their personal and social development. Therefore, this final degree project intends to offer an education intervention proposal in order to improve and work on the emotional realm of children with autism. Other than that, this work included the conceptualization and development of the emotions of people with autism, since they are aspects that must be taken into account when carrying out the intervention. Finally, a guide is created that summarizes the programming of the educational proposal so that future professionals of pedagogy, psychology and psychopedagogy can apply during their first interventions

Cloud Gaming is an internet service, which allows the customer to play a video game on any device through the cloud. The main objective of this type of service is to provide players with an immediate gaming experience on any device, without needing to have potent hardware to run it. Despite being a recent service and still underpowered, it brings advantages and opportunities for the Gaming Industry. This article aims to define the historical evolution of technology associated with games, the pioneer companies and those that currently present themselves as references in terms of sales volume in this market and identify opportunities and challenges in the development and implementation of Cloud Gaming Services in the Gaming Industry, so that companies can expand. This article aims to arouse the interest of researchers in the areas of Cloud Computing for this gaming market. Cloud Gaming é um serviço de internet que permite ao cliente jogar um videojogo em qualquer dispositivo através da cloud. O principal objetivo deste tipo de serviço é fornecer aos jogadores uma experiência imediata dos jogos em qualquer dispositivo, sem necessitar de ter hardware potente para executá-los. Sendo um serviço recente e pouco potencializado, traz vantagens e oportunidades para a Indústria de Gaming. O presente artigo tem como objetivos descrever a evolução histórica da tecnologia associada aos jogos, as empresas pioneiras e as que atualmente se apresentam como referências em termos de volume de vendas neste mercado e identificar oportunidades e desafios no desenvolvimento e implementação dos Serviços de Cloud Gaming na Indústria de Gaming, de forma que as empresas se possam expandir. Este artigo pretende despertar o interesse dos investigadores das áreas de Cloud Computing para este mercado de jogos. info:eu-repo/semantics/publishedVersion

Application servers generate daily log files with a significant part of their activity. This information is recorded sequentially over time but mixes various types of information. The absence of a standard for formatting the data record and the respective volume, make it difficult to extract the corresponding information. The lack of work, specifically in the treatment of SOA server log files, did not allow the comparisson with pre-existing Key Performance Indicators (KPI) or a set of best practices that could be followed. This work results in a description of the process that can serve as a guide for: definition of a logging structure; construction of a data extraction process; definition of a data structure to support the extracted information; definition of control metrics; definition of analysis and control processes for the extracted data.. Given the size of the files and the diversity of types of information that existed, it was necessary to use Python programming for data extraction and pre-treatment, Excel for data pre-treatment, Tableau for statistical treatment and presentation of results. info:eu-repo/semantics/acceptedVersion

Made available in DSpace on 2021-08-04T09:19:44Z (GMT). No. of bitstreams: 0 Previous issue date: 2020 info:eu-repo/semantics/publishedVersion

Objectives This study aimed at developing technical recommendations for the acquisition, processing and analysis of renal ASL data in the human kidney at 1.5 T and 3 T feld strengths that can promote standardization of renal perfusion measurements and facilitate the comparability of results across scanners and in multi-centre clinical studies. Methods An international panel of 23 renal ASL experts followed a modifed Delphi process, including on-line surveys and two in-person meetings, to formulate a series of consensus statements regarding patient preparation, hardware, acquisition protocol, analysis steps and data reporting. Results Fifty-nine statements achieved consensus, while agreement could not be reached on two statements related to patient preparation. As a default protocol, the panel recommends pseudo-continuous (PCASL) or fow-sensitive alternating inversion recovery (FAIR) labelling with a single-slice spin-echo EPI readout with background suppression and a simple but robust quantifcation model. Discussion This approach is considered robust and reproducible and can provide renal perfusion images of adequate quality and SNR for most applications. If extended kidney coverage is desirable, a 2D multislice readout is recommended. These recommendations are based on current available evidence and expert opinion. Nonetheless they are expected to be updated as more data become available, since the renal ASL literature is rapidly expanding.

To determine the issuance of licenses versus building license requests that occurred in the last five years in a municipality, a dashboard was implemented and performance indicators were defined, thus presenting the Case Study - Emission of licenses versus building license requests, where the number of licenses emitted, i.e. the number of licenses produced, per year and municipality, as the time elapsed in the issuing of licenses versus the entry of building license requests, as well as the civil parishes that are part of the Municipality. The present study concluded which is the civil parish with the highest value of building licenses, and calculated the time elapsed since the licensing requests until the issue of the respective licenses, which is a contribution to the promotion of the KPI visualization and motoring in municipalities. info:eu-repo/semantics/acceptedVersion

Num mercado extremamente competitivo, onde diariamente são geradas quantidade enormes de informações sobre perfis de utilizadores e de consumo, a gestão desses dados permite que as empresas encontrem formas de melhorar a sua atratividade e diferenciação, sendo capazes de criar ofertas orientadas para as necessidades de consumo específicas. Os Data Warehouses armazenam e organizam essas informações e são os ambientes chave para que as empresas façam a gestão de todas informações valiosas de mercado. Esse artigo contextualiza a ciência de Business Inteligence e de Data Warehouse para verificar seu impacto e aplicação em e-commerce. Através deste estudo percebeu-se que a correta gestão de data warehouse permite o melhor usufruto dos dados gerados pelo comportamento de compra e perfis de utilizadores para entregar experiências mais ricas e direcionadas para necessidades específicas. Contudo, há o desafio de encontrar cada vez mais formas diferenciadas de usar essas informações para que as empresas se possam destacar no mercado. info:eu-repo/semantics/publishedVersion

With the constant development of the digital retail market, competition makes it necessary to implement services that increase consumer attractiveness and loyalty. Easy return policies, although attractive, generate charges to tenants, making size recommendation systems essential mechanisms in the maintenance of reverse logistics metrics. This article seeks to contextualize the need for personalization of the consumer experience, through personalized recommendations, also presenting the solution of the company Sizebay. For this, the consumer experience personalization, recommendation systems for fashion e-commerce and the proposed tool as a solution are described. Finally, real data of stores that use the service are presented in order to quantify the impact of personalized recommendations. Through this study it was realized that this practice generates optimizing results, but there is the challenge of greater engagement with consumers with the tool. info:eu-repo/semantics/acceptedVersion

Mesonephric hyperplasia (MH) is a very rare condition. There are few cases in the literature. Mesonephric remnants (MR) or MH can be a rare source of abnormal Papanicolaou smears. The most common, often difficult, in the differential diagnosis of MH is mesonephric carcinoma that has a poor prognosis. We report a case of a 29-years-old with a routine Papanicolaou smear reported as atypical glandular cells. The patient underwent to a loop electrosurgical excision procedure and because it is a benign condition and a strong desire to preserve fertility, we opted for clinical surveillance. info:eu-repo/semantics/publishedVersion

In this New Age where information has an indispensable value for companies and data mining technologies are growing in the area of Information Technology, privacy remains a sensitive issue in the approach to the exploitation of the large volume of data generated and processed by companies. The way data is collected, handled and destined is not yet clearly defined and has been the subject of constant debate by several areas of activity. This literature review gives an overview of privacy in the era of Business Analytics and Big Data in different timelines, the opportunities and challenges faced, aiming to broaden discussions on a subject that deserves extreme attention and aims to show that, despite measures for data protection have been created, there is still a need to discuss the subject among the different parties involved in the process to achieve a positive ideal for both users and companies. info:eu-repo/semantics/acceptedVersion

Financial auditing focuses on obtaining and assessing evidence, based on certain assertions. It is based on the scrutiny of companies' data, with the objective of obtaining appropriate and sufficient evidence that provides a reasonable degree of certainty that the financial statements are free from fraud and / or material errors, subsequently communicating the results to the stakeholders. However, the growing dimension and complexity of organizations, well represented by the volume of data they currently generate and store, have greatly increased the requirements for the auditor's work, which must be effective and efficient. Classic audit procedures, which are highly dependent on sampling and manual procedures, have proved to be insufficient. Due to the massive amount of data, the emergence of new technologies and computer tools at a frenetic level, auditing is now being rethought, with the debate extending from professional organizations to academics. This article brings together the gaps and shortcomings recently revealed in the thought of the so-called traditional audit, and the challenges it faces today. It presents the new technologies, specifically Robotic Process Automation and Artificial Intelligence, as already having expression in today's audit, and which, in a future vision, are enhanced by their combination in Intelligent Process Automation. info:eu-repo/semantics/acceptedVersion

Background Late-onset Pompe disease (LOPD) is a genetic disorder characterized by progressive degeneration of the skeletal muscles produced by a deficiency of the enzyme acid alpha-glucosidase. Enzymatic replacement therapy with recombinant human alpha-glucosidase seems to reduce the progression of the disease; although at the moment, it is not completely clear to what extent. Quantitative muscle magnetic resonance imaging (qMRI) is a good biomarker for the follow-up of fat replacement in neuromuscular disorders. The aim of this study was to describe the changes observed in fat replacement in skeletal muscles using qMRI in a cohort of LOPD patients followed prospectively. Methods A total of 36 LOPD patients were seen once every year for 4 years. qMRI, several muscle function tests, spirometry, activities of daily living scales, and quality-of-life scales were performed on each visit. Muscle MRI consisted of two-point Dixon studies of the trunk and thigh muscles. Computer analysis of the images provided the percentage of muscle degenerated and replaced by fat in every muscle (known as fat fraction). Longitudinal analysis of the measures was performed using linear mixed models applying the Greenhouse-Geisser test. Results We detected a statistically significant and continuous increase in mean thigh fat fraction both in treated (+5.8% in 3 years) and in pre-symptomatic patients (+2.6% in 3years) (Greenhouse-Geisser p < 0.05). As an average, fat fraction increased by 1.9% per year in treated patients, compared with 0.8% in pre-symptomatic patients. Fat fraction significantly increased in every muscle of the thighs. We observed a significant correlation between changes observed in fat fraction in qMRI and changes observed in the results of the muscle function tests performed. Moreover, we identified that muscle performance and mean thigh fat fraction at baseline visit were independent parameters influencing fat fraction progression over 4 years (analysis of covariance, p < 0.05). Conclusions Our study identifies that skeletal muscle fat fraction continues to increase in patients with LOPD despite the treatment with enzymatic replacement therapy. These results suggest that the process of muscle degeneration is not stopped by the treatment and could impact muscle function over the years. Hereby, we show that fat fraction along with muscle function tests can be considered a good outcome measures for clinical trials in LOPD patients.

Os dispositivos Internet of Things (IoT) são primordialmente utilizados para conectar objetos físicos, enquanto as tecnologias sociais são responsáveis pela colaboração e interação social. A importância da Big Data não reside apenas na quantidade de dados que se possui, mas sim do que podemos fazer com eles. A criação do conceito de IoT permite estender a conectividade dos aparelhos digitais aos aparelhos físicos, que não estão ligados à Internet, e que usamos diariamente. Apesar da proximidade que estas duas áreas possuem, existem também características que as separam. Os objetivos do presente artigo concentram-se em apresentar Big Data e IoT, centrando depois atenções numa mais recente variação da IoT: Social IoT. info:eu-repo/semantics/publishedVersion

This article deals with the application of business intelligence, data visualization tools, to analyze the improvement of energy efficiency in residential buildings in Portugal. We used an exploratory data method, which was obtained from the Energy Agency (ADENE), applying business intelligence systems for historical analysis and drawing up projections until the year 2035. The results obtained showed energy inefficiency in Portuguese housing buildings, with approximately 44% of them classified with energy certification D, E, and F. We created a scenario with the goal of raising these homes to at least energy classification C, as recommended by the study carried out by the Committee on Climate Change of the United Kingdom. This time, we identified that several benefits would be achieved, from reducing the value of the electricity bill to reducing the emission of greenhouse gases. info:eu-repo/semantics/acceptedVersion

Atualmente, o volume de dados que as empresas produzem e têm acesso tem vindo a aumentar exponencialmente. Definir objetivos e utilizar KPIs são fundamentais para perceber quão próximas as empresas estão de atingir os seus objetivos. Na área de Marketing existem reduzidas propostas de KPIs para a avaliação de desempenho, dificultando a gestão de um departamento de Marketing. Consequentemente, é importante mostrar a importância da utilização de KPIs nesta área e propor KPIs que possam ser suficientemente genéricos. Assim, são objetivos deste artigo mostrar a necessidade do uso de KPIs em Marketing e propor e avaliar KPIs. Este trabalho pretende assim contribuir para a evolução deste tópico, ajudando a preencher uma lacuna que tem existido neste domínio. info:eu-repo/semantics/publishedVersion