Collaborative networks in ambient assisted living

Tese de doutoramento em InformáticaCollaborative Work plays an important role in today’s organizations, especially in areas where decisions must be made. However, any decision that involves a collective or group of decision makers is, by itself, complex, but is becoming recurrent in recent years. In this work we present the VirtualECare project, an intelligent multiagent system able to monitor, interact and serve its customers, in need of care services. In last year’s there has been a substantially increase on the number of people needed of intensive care, especially among the elderly, a phenomenon that is related to population ageing. However, this is becoming not exclusive of the elderly, as diseases like obesity, diabetes and blood pressure have been increasing among young adults. This is a new reality that needs to be dealt by the health sector, particularly by the public one. Given this scenario, the importance of finding new and cost effective ways for health care delivery are of particular importance, especially when it is believed that they should not be removed from their natural “habitat”. Following this line of thinking, the VirtualECare project will be presented, like similar ones that preceded it. On the other hand, this is a growing interest in combining the advances in information society ‐ computing, telecommunications and presentation – in order to create Group Decision Support Systems (GDSSs). Indeed, the new economy, along with increased competition in today’s complex business environments, takes the companies to seek complementarities in order to increase competitiveness and reduce risks. Under these settings, planning takes a major role in a company life. However, effective planning depends on the generation and analysis of ideas (innovative or not) and, as a result, the idea generation and management processes are crucial. In particular if is believed that the use of GDSS in the healthcare arena will allow professionals to achieve better results in the analysis of one’s Electronically Clinical Profile (ECP). This achievement is vital, regarding the explosion of knowledge and skills, together with the need to use limited resources and get the expected outcomes.Hoje em dia, o Trabalho Colaborativo desempenha um papel deveras importante na maioria das organizações, especialmente em áreas em que decisões têm de ser tomadas. No entanto, e muito embora comece a ser recorrente, qualquer decisão que envolva um grupo colectivo de decisores é, por si só, complexa. Nesta tese apresenta‐se o projecto VirtualECare, um sistema inteligente multi‐agente capaz de monitorar, interagir e servir os seus utilizadores, com necessidades de cuidados de saúde. Nos últimos anos têm‐se verificado um aumento substancial no número de pessoas necessitadas de cuidados intensivos, especialmente entre a população mais envelhecida, um fenómeno directamente relacionado com o envelhecimento gradual da população. No entanto, esta é uma problemática que começa a deixar de estar exclusivamente associada aos idosos, uma vez que, doenças como a obesidade, diabetes e a pressão arterial têm vindo a aumentar junto dos, assim chamados, jovens adultos. Esta é uma nova realidade com a qual o sector da saúde necessita de lidar, especialmente o sector público. Apresentados estes cenários, a importância de encontrar novas formas, mais eficazes ao nível dos custos, de providenciar cuidados de saúde, a quem deles necessita, torna‐se ainda mais premente, especialmente quando acreditamos que estes não devem ser deslocalizados do seu “habitat” natural. Seguindo esta linha de raciocínio, vamos apresentar o projecto VirtualECare, bem como similares que o precederam. Recentemente tem‐se vindo a assistir a um interesse crescente em combinar os avanços na, assim chamada, sociedade da informação – computação, telecomunicações e apresentação – de forma a se criarem Sistemas de Apoio à Decisão em Grupo (GDSS). Na realidade, a nova economia, associada ao elevado crescimento da competitividade do, já de si, complexo mundo empresarial, provoca a procura, por parte das empresas e/ou instituições, de outras que as possam complementar para assim se poderem tornar mais competitivas e reduzir os riscos assumidos. Neste cenário, o planeamento assume um papel da maior importância na vida de uma empresa. No entanto, um planeamento eficaz depende da geração e posterior análise de ideias (inovativas ou não) e, como resultado, o processo de geração e análise de ideias também se torna crucial. O nosso objectivo é aplicar os já apresentados GDSS a uma nova área. É de esperar que o uso de GDSS na área da prestação de cuidados de saúde irá permitir que os seus profissionais obtenham melhores e mais imediatos resultados na análise de um qualquer Processo Clínico Electrónico (ECP), sendo este um factor crucial, tendo em conta a explosão de conhecimento e técnicas conjugadas com a necessidade de melhor se utilizar os recursos existentes

Non-obstructive authentication in AAL environments

Ambient Assisted Living environments projects arise as technological responses of the scientific community to problems associated with the population-ageing phenomenon. In theory, these environments should allow de-localization of healthcare services delivery and management to the home, thus containing the economic and social costs associated with old age. The VirtualECare project is one of those environments, enhanced with proactive techniques for a better user experience, focused on elderly chronic patients, through the ability of constant learning and adaption based in user interaction and its contexts. This learning and, consequently, adaption needs, however, unequivocally user identification, especially in multi-user environments. Traditional identification techniques and methodologies are not suitable for these scenario since, usually, require user interaction and wireless identification technique (e.g. RFID, Bluetooth) are very exposed to personification. In order to obtain the expected results we needed a more advanced technology. One possible, appropriate and already fairly developed technique is Facial Recognition. In this paper we present the VirtualECare project approach to Facial Recognition authentication techniques its advantages, disadvantages and possible implementations paths

Inter-organization cooperation for care of the elderly

With the growing numbers of the elderly population, the society is face to face with a set of new problems, namely the lack of resources to assist their living in a noble mode. Nevertheless, with the use of new computational technologies and novel methodologies for problem solving, some solutions to these problems are emerging (e.g., remote sensing/assistance/supervision). Therefore, it is our goal to show that under such scenarios, it is possible to bring into play different interconnected virtual organizations, through which will be provided to the population, in general, and the elderly, in particular, a number of services (e.g., healthcare, entertainment, learning), without delocalization or messing up with their routine

Group decision making and quality-of-information in e-Health systems

Knowledge is central to the modern economy and society. Indeed, the knowledge society has transformed the concept of knowledge and is more and more aware of the need to overcome the lack of knowledge when has to make options or address its problems and dilemmas. One`s knowledge is less based on exact facts and more on hypotheses, perceptions or indications. Even when we use new computational artefacts and novel methodologies for problem solving, like the use of Group Decision Support Systems (GDSS), the question of incomplete information is in most of the situations marginalized. On the other hand, common sense tells us that when a decision is made it is impossible to have a perception of all the information involved and the nature of its intrinsic quality. Therefore, something has to be made in terms of the information available and the process of its evaluation. It is under this framework that a Multi-valued Extended Logic Programming language will be used for knowledge representation and reasoning, leading to a model that embodies the Quality-of-Information (QoI) and its quantification, along the several stages of the decision making process. In this way it is possible to provide a measure of the value of the QoI that supports the decision itself. This model will be here presented in the context of a GDSS for VirtualECare, a system aimed at sustaining online healthcare services

VirtualECare: group decision supported by idea generation and argumentation

It is understood that Collaborative Work plays an important role in today’s organizations life cycle. On the other hand, any decision that may involve a set of decision makers is, by itself, quite complex. It is under this umbrella that it will be presented the VirtualECare project, that contemplates an intelligent multi-agent system able to monitor, interact and serve its customers in need of (health)care services. We will center our attention on the system group decision and argumentation modules, which use idea generation techniques and resort to argumentation to exchange and justify belief and choice. At the end, a prototype will be presented

A Cross-Sectional Survey-Based Study of Medical Oncologists

Funding Information: We would like to thank Andrea Bothwell who wrote the manuscript outline and first draft on behalf of Springer Healthcare Communications. We also thank Prof. Carina Silva (ESTEsL – Escola Superior de Tecnologias de Saúde de Lisboa) who performed the preliminary statistical analysis of this study. This medical writing assistance and statistical analysis was funded by CUF Oncologia. Funding Information: Diogo Alpuim Costa has received honoraria from the Portuguese Navy, CUF Oncologia, and NTT DATA, and has served as a speaker, advisory board member, or has received research or education funding from CUF Oncologia, AstraZeneca, Hoffmann-La Roche, Merck KGaA, Novartis, Pfizer, Uriage, Daiichi Sankyo, Gilead, Merck Sharp & Dohme, Nanobiotix, Puma Biotechnology Inc., Sanofi, and Seagen Inc. Margarida Brito has participated as advisory board member for Roche, Novartis, Merck Sharp & Dohme, and Pfizer. Mário Fontes-Sousa has served as a speaker or advisory board member for Bristol Myers Squibb, Daiichi Sankyo, Gilead, Lilly, Merck Sharp & Dohme, Novartis, Pfizer, Roche, and Servier. Diogo Martins-Branco received honoraria and advisory board fees from Janssen, Pfizer, Merck Sharp & Dohme, Angelini, AstraZeneca, and Novartis, meeting and travel grants from LEO Farmacêuticos, Merck Sharp & Dohme, Ipsen, Janssen, and Roche, and institutional grants from F. Hoffmann-La Roche Ltd. José Guilherme Gonçalves Nobre, João Paulo Fernandes, Marta Vaz Batista, Ana Simas, Carolina Sales, Helena Gouveia, Leonor Abreu Ribeiro, Andreia Coelho, Mariana Inácio, André Cruz, Mónica Mariano, Joana Savva-Bordalo, Ricardo Fernandes, André Oliveira, Andreia Chaves, Mafalda Sampaio-Alves, and Noémia Afonso have nothing to declare. Publisher Copyright: © 2022, The Author(s).Introduction: Cancer care providers have faced many challenges in delivering safe care for patients during the COVID-19 pandemic. This cross-sectional survey-based study investigated the impact of the pandemic on clinical practices of Portuguese medical oncologists caring for patients with breast cancer. Methods: An anonymous online survey comprising 42 questions gathered information regarding COVID-19 testing, treatment in (neo)adjuvant and metastatic settings, and other aspects of breast cancer management. Practices before and during the pandemic were compared, and potential differences in outcomes according to respondents’ regions, case volumes, and practice type were explored. Results: Of 129 respondents, 108 worked in the public health system, giving a representative national picture of the impact of the COVID-19 pandemic on breast cancer management. Seventy-one percent of respondents reported a reduction in visits for new cases of breast cancer, and there was a shift towards increased use of telemedicine. Clinical decision-making was largely unaffected in the most aggressive indications (i.e., triple-negative, HER2-positive, visceral crisis). The use of neoadjuvant therapy increased when access to surgery was difficult, whereas dose-dense regimens decreased, and cyclin-dependent kinase 4/6 inhibitor treatment decreased for less aggressive disease and increased for more aggressive disease. The use of oral formulations and metronomic chemotherapy regimens increased, and clinical trial participation decreased. Some differences by respondents’ region and case volume were noted. Conclusion: Medical oncologists in Portugal implemented many changes during the COVID-19 pandemic, most of which were logical and reasonable responses to the current healthcare emergency; however, the true impact on patient outcomes remains unknown.publishersversionepub_ahead_of_prin

High-concentration carbamide peroxide can reduce the sensitivity caused by in-office tooth bleaching: a single-blinded randomized controlled trial

Objectives: A single-blinded, randomized, parallel clinical trial evaluated the use of 37% carbamide peroxide (CP) on bleaching effectiveness and tooth sensitivity reported by patients undergoing in-office tooth bleaching, in comparison with the results of using 35% hydrogen peroxide. Material and Methods:Forty patients were allocated to receive two sessions of in-office tooth bleaching using either 35% hydrogen peroxide (HP) or 37% CP. Each patient’s sensitivity level was evaluated during and up to 24 h after bleaching. The effectiveness of the bleaching procedures was evaluated with a spectrophotometer one week after each session and 30 days after the last session. The impact of tooth bleaching on the patients’ perceptions regarding smile changes, in addition to the bleaching procedures and their results, were also recorded. Absolute and relative sensitivity risks were calculated. Data on sensitivity level were analyzed using the Mann-Whitney or T-test, and data from the color evaluation were subjected to 2-way repeated measures ANOVA. Results: The use of CP reduced the risk and level of tooth sensitivity to values close to zero, whereas the difference between the bleaching agents disappeared after 24 h. An increased bleaching effect was observed for HP, mainly due to an improved reduction of redness and yellowness. Participants perceived improved tooth bleaching for HP and reduced sensitivity for CP, but no differences regarding the comfort of the techniques were noted. Conclusions: In our study, 37% CP resulted in reduced tooth sensitivity but decreased the tooth bleaching effectiveness. However, both bleaching agents resulted in high levels of patient satisfaction

Avaliação das propriedades eletrofisiológica de neurônios hipocampais humanos no modelo de 0-Mg2+

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MAMMALS IN PORTUGAL : A data set of terrestrial, volant, and marine mammal occurrences in P ortugal

Mammals are threatened worldwide, with 26% of all species being includedin the IUCN threatened categories. This overall pattern is primarily associatedwith habitat loss or degradation, and human persecution for terrestrial mam-mals, and pollution, open net fishing, climate change, and prey depletion formarine mammals. Mammals play a key role in maintaining ecosystems func-tionality and resilience, and therefore information on their distribution is cru-cial to delineate and support conservation actions. MAMMALS INPORTUGAL is a publicly available data set compiling unpublishedgeoreferenced occurrence records of 92 terrestrial, volant, and marine mam-mals in mainland Portugal and archipelagos of the Azores and Madeira thatincludes 105,026 data entries between 1873 and 2021 (72% of the data occur-ring in 2000 and 2021). The methods used to collect the data were: live obser-vations/captures (43%), sign surveys (35%), camera trapping (16%),bioacoustics surveys (4%) and radiotracking, and inquiries that represent lessthan 1% of the records. The data set includes 13 types of records: (1) burrowsjsoil moundsjtunnel, (2) capture, (3) colony, (4) dead animaljhairjskullsjjaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8),observation in shelters, (9) photo trappingjvideo, (10) predators dietjpelletsjpine cones/nuts, (11) scatjtrackjditch, (12) telemetry and (13) vocalizationjecholocation. The spatial uncertainty of most records ranges between 0 and100 m (76%). Rodentia (n=31,573) has the highest number of records followedby Chiroptera (n=18,857), Carnivora (n=18,594), Lagomorpha (n=17,496),Cetartiodactyla (n=11,568) and Eulipotyphla (n=7008). The data setincludes records of species classified by the IUCN as threatened(e.g.,Oryctolagus cuniculus[n=12,159],Monachus monachus[n=1,512],andLynx pardinus[n=197]). We believe that this data set may stimulate thepublication of other European countries data sets that would certainly contrib-ute to ecology and conservation-related research, and therefore assisting onthe development of more accurate and tailored conservation managementstrategies for each species. There are no copyright restrictions; please cite thisdata paper when the data are used in publications.info:eu-repo/semantics/publishedVersio