51 research outputs found

    Generative AI tools in healthcare education and research

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    Given the rapid development and accessibility of these tools, it has become clear that Generative AI has multiple uses for teaching, learning and research. This workshop will provide best practices, in a hands-on experience, of the most relevant Generative AI tools for healthcare educators and students, with the aim of understanding the mechanisms that drive AI and the usefulness of it.N/

    Ponatinib-induced pneumonitis with severe acute respiratory distress syndrome

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    Ponatinib is a third-generation tyrosine kinase inhibitor (TKI) that can effectively treat patients with acute lymphoblastic leukaemia (ALL), particularly those with Philadelphia chromosome-positive (Ph+ALL) subtype, who are resistant or have previously received other TKIs. We report a case of a 42-year-old female with Ph+ALL who was admitted to the intensive care unit with respiratory failure and severe acute respiratory distress syndrome (ARDS), while on treatment with ponatinib. Despite being treated with multiple antibiotics and antivirals, the patient’s condition continued to worsen, and pulmonary complications secondary to TKI were suspected. After starting a steroid regimen, the patient’s condition improved drastically with resolution of the pulmonary complications. While many adverse events (AEs) happen in the beginning stages of TKI treatment, certain toxicities may not arise until months after therapy initiation. Cardiovascular complications are the most common AE of ponatinib, including heart failure and arterial hypertension. Pulmonary complications may occur, and management includes drug cessation and individualised steroid therapy. In case of respiratory failure without signs of infection and no improvement with antimicrobial treatment, clinicians should consider the possibility of pulmonary toxicity associated with ponatinib

    Alimentação saudável, um guia para escolhas alimentares saudáveis e acertadas

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    Este guia contém orientações para escolhas alimentares saudáveis e acertadas. Apresenta informação sobre como planear refeições, escolher os alimentos e as suas técnicas de confecção culinária mais saudáveis.info:eu-repo/semantics/publishedVersio

    HTML5 Authoring Tool to Support the Teaching-Learning Process: A case study with H5P framework

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    The objective of this experiment report was to describe the development of studies of authorship tools and creation of educational resources carried out in 2017 by 12 students of the Doctoral Course in “Informatics in Education” of the “Anonymous Institution - Details omitted for double-blind reviewing”, 6 students of the Teleducation discipline and 6 students of the discipline of Hyperdocuments as Teaching Material. The impacts of the use of an authoring tool in the teaching-learning process were explored, focusing the analysis in descriptive aspects. It was concluded that the use of H5P contributed to discussions and reflections on authoring tools, also it was possible to establish an effective relationship between theory and practice, and its use proved to be satisfactory as well as promising for the teaching-learning process

    Ementas saudáveis em tempos de COVID-19

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    Este documento pretende contribuir para a promoção de uma alimentação saudável, nutricionalmente adequada, neste período de confinamento provocado pela COVID 19. Apresenta uma ementa para catorze dias, baseada no Kit Alimentar da Direção Geral da Saúde.info:eu-repo/semantics/publishedVersio

    Quantitative genetics of extreme insular dwarfing: The case of red deer on Jersey

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    [Aim]: The Island Rule—that is, the tendency for body size to decrease in large mammals and increase in small mammals on islands has been commonly evaluated through mac-roecological or macroevolutionary, pattern-orientated approaches, which generally fail to model the microevolutionary processes driving either dwarfing or gigantism. Here, we seek to identify which microevolutionary process could have driven extreme insular dwarfism in the extinct dwarf red deer population on the island of Jersey.[Location]: Jersey, UK (Channel Islands).[Taxon]: Red deer (Cervus elaphus).[Methods]: We applied an individual-based quantitative genetics model parameterized with red deer life-history data to study the evolution of dwarfism in Jersey's deer, con-sidering variations in island area and isolation through time due to sea level changes.[Results]: The body size of red deer on Jersey decreased fast early on, due to pheno-typic plasticity, then kept decreasing almost linearly over time down to the actual body size of the Jersey deer (36kg on average). Only 1% of 10,000 replicates failed to reach that size in our simulations. The distribution of time to adaptation in these simulations was right skewed, with a median of 395 generations (equivalent to roughly 4kyr), with complete dwarfism effectively occurring in less than 6kyr 84.6% of times. About 72% of the variation in the time to adaptation between simulations was col-lectively explained by higher mutational variance, the number of immigrants from the continent after isolation, available genetic variance, heritability, and phenotypic plasticity.[Main Conclusions]: The extreme dwarfing of red deer on Jersey is an expected out-come of high mutational variance, high immigration rate, a wide adaptive landscape, low levels of inbreeding, and high phenotypic plasticity (in the early phase of dwarfing), all occurring within a time window of around 6kyr. Our model reveals how extreme dwarfism is a plausible outcome of common, well-known evolutionary processes.This study is a contribution of the INCT in Ecology, Evolution and Biodiversity Conservation founded by MCTIC/CNPq/FAPEG (grant 465610/2014-5), arising from the workshop “Fast Evolution on Islands”, organized by AMCS and JAFD-F. Authors EB, FN, WS, KSS, RSS, and ZASV are supported by CAPES MsC or Doctoral fellowships. JAFD-F, RT, TFR, and RD are supported by CNPq Productivity Fellowships and grants, and LJ and EB received CNPq/DTI-A Fellowships from INCT. JH was supported by the project ‘Predicting diversity variations across scales through process-based models linking community ecology and biogeography’ (CNPq PVE 314523/2014-6), and AMCS by a Spanish MICIU Juan de la Cierva-Incorporación (IJCI-2014-19502) fellowship.Peer reviewe

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

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    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

    EuReCa ONE—27 Nations, ONE Europe, ONE Registry A prospective one month analysis of out-of-hospital cardiac arrest outcomes in 27 countries in Europe

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    AbstractIntroductionThe aim of the EuReCa ONE study was to determine the incidence, process, and outcome for out of hospital cardiac arrest (OHCA) throughout Europe.MethodsThis was an international, prospective, multi-centre one-month study. Patients who suffered an OHCA during October 2014 who were attended and/or treated by an Emergency Medical Service (EMS) were eligible for inclusion in the study. Data were extracted from national, regional or local registries.ResultsData on 10,682 confirmed OHCAs from 248 regions in 27 countries, covering an estimated population of 174 million. In 7146 (66%) cases, CPR was started by a bystander or by the EMS. The incidence of CPR attempts ranged from 19.0 to 104.0 per 100,000 population per year. 1735 had ROSC on arrival at hospital (25.2%), Overall, 662/6414 (10.3%) in all cases with CPR attempted survived for at least 30 days or to hospital discharge.ConclusionThe results of EuReCa ONE highlight that OHCA is still a major public health problem accounting for a substantial number of deaths in Europe.EuReCa ONE very clearly demonstrates marked differences in the processes for data collection and reported outcomes following OHCA all over Europe. Using these data and analyses, different countries, regions, systems, and concepts can benchmark themselves and may learn from each other to further improve survival following one of our major health care events
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