Internet-of-Things: strategic research agenda evolution

Em 2007 foi constituído o European Research Cluster on the Internet of Things, com o objetivo de abordar o grande potencial de recursos baseados em Internet of Things na Europa e coordenar a convergência das atividades em curso. Esta instituição publica periodicamente Agendas Estratégicas de Investigação com previsões de tópicos de desenvolvimento e investigação tanto a curto, médio e longo prazo. É objetivo deste artigo, estudar essas Agendas e efetuar um levantamento dos tópicos, de forma a perceber a sua evolução ao longo do tempo, isto em termos de áreas que foram já investigadas (ou que a investigação já foi iniciada) bem como aquelas ainda não foram exploradas.The aim of European Research Cluster on the Internet of Things, established in 2007, is to address the large potential for Internet of Things-based capabilities in Europe and to coordinate the convergence of ongoing activities. This organization regularly publishes Strategic Research Agendas with short, medium and long term forecasts of development and research topics. The aim of this paper is to study these agendas and make an identification of topics, in order to understand its evolution over time, that in terms of areas that have already been researched (or the research has already started) as well as those not yet explored.Este trabalho foi financiado pelo projeto QVida+: Quality of Life Continuous Estimation for Effective Clinical Decision Support, Nº2015/003446 P2020 SI I&DT, (NUP, NORTE-01- 0247-FEDER-003446). Foi também suportado pela OptimizerLda, e pelo COMPETE: POCI-01-0145-FEDER-007043 e FCT – Fundação para a Ciência e Tecnologia UID/CEC/00319/2013Optimizer, Ldainfo:eu-repo/semantics/publishedVersio

Distribution-Based Categorization of Classifier Transfer Learning

Transfer Learning (TL) aims to transfer knowledge acquired in one problem, the source problem, onto another problem, the target problem, dispensing with the bottom-up construction of the target model. Due to its relevance, TL has gained significant interest in the Machine Learning community since it paves the way to devise intelligent learning models that can easily be tailored to many different applications. As it is natural in a fast evolving area, a wide variety of TL methods, settings and nomenclature have been proposed so far. However, a wide range of works have been reporting different names for the same concepts. This concept and terminology mixture contribute however to obscure the TL field, hindering its proper consideration. In this paper we present a review of the literature on the majority of classification TL methods, and also a distribution-based categorization of TL with a common nomenclature suitable to classification problems. Under this perspective three main TL categories are presented, discussed and illustrated with examples

Digital transformation: a case study in the context of insurance companies

Digital Transformation (DT) is considered one of the bases for the creation of new business models and the definition of new strategies in organizations, so, a paradigm shift in the way organizations operate and how they relate to their customers in this digital age. Today it is essential to digitalize the processes inherent to organizations, especially those directly linked to the customer, as they increasingly seek digital means to meet their needs. To do so, organizations must invest, for instance, in the integration of interactive digital channels capable of responding to the needs related to the above-mentioned new strategies. Generally, DT promises to make structural and strategic changes in organizations, where technology plays a key role, becoming the most powerful ally of individuals and organizations. However, in general, DT is not exclusively linked to technology, but to new ways of thinking and acting, so a change in the organizational environment is required. Currently, in the insurance industry, DT is been applied to enforce organizational changes and improvements in different areas of the organization. This paper is research regarding the integration of DT in organizational processes, based on a case-studies related to Insurance Companies (ICs), with the purpose to highlight the main advantages of "cultural renewals" in organizations and the use of technologies, namely the use of dynamic digital channels, capable to meet the needs of customers and organizations.This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/202

Big data in cloud: a data architecture

Nowadays, organizations have at their disposal a large volume of data with a wide variety of types. Technology-driven organizations want to capture process and analyze this data at a fast velocity, in order to better understand and manage their customers, their operations and their business processes. As much as data volume and variety increases and as faster analytic results are needed, more demanding is for a data architecture. This data architecture should enable collecting, storing, and analyzing Big Data in Cloud Environment. Cloud Computing, ensures timeliness, ubiquity and easy access by users. This paper proposes to develop a data architecture to support Big Data in Cloud and, finally, validate the architecture with a proof of concept.This work was financed by FCT - Fundação para a Ciência e Tecnologia for the project: PEst-OE/EEI/UI0319/201

A modern data architecture: a test case

Atualmente os dados são vistos como tendo tipos e origens distintas. Os tipos de dados podem ser estruturados, semiestruturados e não estruturados. As origens dos dados podem ser diversas como Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Supply Chain Management (SCM), folhas de cálculo, documentos de texto, redes sociais, imagens, vídeos, sensores entre outros. Esta diversidade de dados exige uma arquitetura moderna que permita a recolha dos dados de várias origens e tipos, viabilizando igualmente a extração, transformação e limpeza dos mesmos através do processo de Extract, Transform and Load (ETL), bem como o armazenamento e integração dos dados para posteriores análises. Esta arquitetura deve ser suportada por um ambiente de Cloud Computing, garantindo assim a sua atualidade, ubiquidade e fácil acesso pelos utilizadores. Este artigo propõe-se desenvolver uma arquitetura e implementar uma solução que será validade através de um caso de teste com dados da área da saúde.Currently the data are seen as having distinct types and origins. Data types may be structured, semi-structured and unstructured. The data sources can be diverse as Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Supply Chain Management (SCM), spreadsheets, text documents, social networks, images, videos, and other sensors. This diversity of data requires a modern architecture that enables the collection of data from multiple sources and types, also enabling the extraction, processing and cleaning of data through the Extract and Transform and Load (ETL) process, and the storage and integration of data for further analysis. This architecture must be supported by a Cloud Computing environment, thus ensuring its relevance, ubiquity and easy access by users. This article proposes to develop an architecture and implement a solution that is validated through a test case with health care data.Fundação para a Ciência e a Tecnologia (FCT) - PEst-OE/EEI/UI0319/201

Who can assess HR performance in IT/IS projects: a review

Acting in markets characterized by a growing demand, organizations need to manage their human resources effectively and nowadays recognize that human resources (HR) are key elements to obtain success. In fact, organizations, by looking for operation optimization, have interest in enhancing the performance of human resources through systematic appraisals, by collecting and using information from individual and team performance. In the context of information technology/information systems (IT/IS) projects, the research that focuses on HR performance appraisal is scarce. To help fill this gap this paper presents a review of sources on performance information, which are applicable to these kind of projects.This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT - Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.info:eu-repo/semantics/publishedVersio

Public health and health research data: availability, needs and challenges

Funding Information: The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.publishersversionpublishe

Desenvolvimento do Pensamento Crítico

Este artigo pretende analisar o  desenvolvimento do pensamento crítico sobre questões de género no contexto da formação no ensino superior tomando como caso de estudo a proposta “Género(s)” que visou a realização de um projeto transdisciplinar articulado entre as Unidades Curriculares de Oficina de Artes, Tecnologias e Multimédia IV (OATM IV) — módulos de Escultura e Arte Multimédia — e de Teoria da Arte, do 2.º semestre do ano letivo de 2019/2020, de forma a convidar a uma reflexão sobre a questão do Género e a despertar o pensamento crítico. No decorrer do processo, constatámos que os alunos mobilizaram e desenvolveram   pensamento crítico de forma a ultrapassar, de forma criativa, os estereótipos sobre questões de género. Deste modo, consideramos que a produção artística e/ou a interpretação de obras de arte estimulam o pensamento autónomo, capaz de lidar com situações novas, através da projeção de várias hipóteses alternativas. Concluímos, assim, que a educação artística é um local privilegiado para estimular e desenvolver pensamento crítico, sem recorrer a ideias pré-concebidas, sendo por isso, potencialmente, apto a combater os estereótipos de classe, cultura ou  género e, deste modo, contribuir para a criação de valores orientadores de uma ação socialmente justa.  

Assessment of symptoms of urinary incontinence in women with polycystic ovary syndrome

OBJECTIVES: The pelvic floor muscles are sensitive to androgens, and due to hyperandrogenism, women with polycystic ovary syndrome can have increased mass in these muscles compared to controls. The aim of this study is to compare reports of urine leakage and quality of life between women with and without polycystic ovary syndrome. METHODS: One hundred thirteen 18-to 40-year-old nulliparous women with polycystic ovary syndrome or without the disease (controls) were recruited at the University Hospital of School Medicine of São Paulo University at Ribeirão Preto City, Brazil. The subjects were not taking any hormonal medication, had not undergone previous pelvic surgery and did not exercise their pelvic floor muscles. The women were divided into the following four groups: I-polycystic ovary syndrome with normal body mass index (n = 18), II-polycystic ovary syndrome with body mass index >25 (n = 32), III-controls with normal body mass index (n = 29), and IV-controls with Body Mass Index >25 (n = 34). Quality of life was evaluated using the SF-36 questionnaire, and the subjects with urinary complaints also completed the International Consultation on Incontinence Questionnaire Short Form to evaluate the severity of their urinary incontinence. RESULTS: The replies to the International Consultation on Incontinence Questionnaire Short Form revealed a significant difference in urinary function between groups, with 24% of the subjects in group IV reporting urinary incontinence. The mean scores for the SF-36 questionnaire revealed that group II had the lowest quality of life. CONCLUSIONS: The control obese group (IV) reported a higher prevalence of urinary incontinence. There was no difference in the reported frequency of urine loss between the polycystic ovary syndrome and control groups with normal body mass index or between the polycystic ovary syndrome and control groups with body mass index >25