Estudo de um novo tratamento para a superfície das rolhas de cortiça

Mestrado em Engenharia QuímicaO presente trabalho, realizado durante o estágio curricular na Amorim & Irmãos, S. A., teve como principais objetivos a otimização das condições de tratamento de superfície das rolhas com um novo equipamento, bem como o estudo da aplicabilidade e distribuição de um novo tratamento em rolhas naturais de cortiça, que compreende a adição consecutiva de dois produtos: parafina e elastómero de silicone. O tratamento de superfície é uma das últimas etapas do processo de produção de rolhas de cortiça e consiste na aplicação de produtos (parafinas, silicones ou a junção de ambos) para lubrificar a rolha de modo a facilitar a inserção e extração da garrafa. O estudo permitiu a otimização da taxa de pulverização de parafina (275,35 g/min) e das perdas do produto durante o processo (45,18 %). Para otimizar o processo testou-se dois valores para cada um dos parâmetros do equipamento: velocidade de rotação (25 e 30 rpm), tempo de parafinação (20 e 25 min) e tempo de pulverização de parafina (60 e 90 s). Esta otimização permitiu ajustar a quantidade certa de parafina e elastómero de silicone a ser aplicada na superfície da rolha. Por fim, a eficiência e distribuição do produto na superfície foi avaliada utilizando microscopia eletrónica de varrimento, microscopia ótica de luz polarizada e realização de testes de controlo de qualidade utilizados na empresa. Após todas as análises realizadas conclui-se que com uma velocidade do tambor de 25 rpm, tempo de parafinação de 25 min e tempo de pulverização de 60 s a distribuição da parafina na superfície da rolha é mais homogénea tendo-se um valor de parafina de 28,36 mg/rolha e de elastómero de silicone 5,5 mg/rolha. A microscopia ótica de luz polarizada é uma técnica rápida, de fácil utilização e com custos de investimento inferiores aos da microscópia eletrónica de varrimento, podendo ser utilizada como um método de ensaio para controlo da distribuição de produto nas rolhas.This study, conducted during a curricular internship in Amorim & Irmãos, S. A. had as main objective the optimization of conditions for surface treatment of corks with new equipment, as well as the study of the applicability and distribution of a new treatment in natural cork stoppers, which consist of consecutive addition of two products: paraffin and silicone elastomer. The surface treatment is one of the last steps of the cork production process and involves the application of products (paraffin’s, silicones or both) to lubricate the stopper to enable the insertion and extraction in the bottle. The optimization allowed a determination of the paraffin spraying rate (275.35 g/min) and product losses during the process (45.18 %). To optimize the process, it was tested two values for each parameter of equipment: drum rotation speed (25 to 30 rpm), time of reaction (20 and 25 min) and paraffin spraying time (60 and 90 s). This optimization allowed adjusting the right amount of paraffin and silicone elastomer to be applied at the stopper surface. Finally, the efficiency and distribution of the surface treatment was evaluated using scanning electron microscopy, polarized light optical microscopy and control quality methods used in the company. After all analyzes, it was concluded that with a smaller drum rotation speed of 25 rpm, a longer reaction time of 25 min and paraffin spraying time of 60 s, the distribution of paraffin on the stopper surface is more homogeneous, the paraffin dose applied was 28.36 mg/stopper and silicone elastomer was 5.5 mg/stopper. The technique polarized light optical microscopy is faster, easier to use and has a lower investment costs than scanning electron microscopy. Then, the first technique mentioned before, can be included as a method to control the distribution of product on the stoppers

Evaluating SARS-CoV-2 Seroconversion Following Relieve of Confinement Measures

Funding: This work was supported by FCT grants (PTDC/MECREU/29520/2017 to HS and CHRC UIDB/4923/2020, UIPD/4923/2020). JG, MJJ, and DAS are supported by FCT through /BD/128343/2017, PTDC/EGE-OGE/32573/2017, and PD/BD/137409/2018, respectively. The anti-SARSCoV-2 ELISA assay was developed within the context of Serology4COVID consortium, in which IBET (Instituto de Biologia Experimental e Tecnológica) produced and purified the Spike protein. This initiative was supported by Calouste Gulbenkian Foundation’s Emergency Fund for COVID-19, Sociedade Francisco Manuel dos Santos and Oeiras Municipality.Seroprevalence studies are crucial both for estimating the prevalence of SARS-CoV-2 exposure and to provide a measure for the efficiency of the confinement measures. Portuguese universities were closed on March 16th 2020, when Portugal only registered 62 SARS-CoV-2 infection cases per million. We have validated a SARS-CoV-2 ELISA assay to a stabilized full-length spike protein using 216 pre-pandemic and 19 molecularly diagnosed SARS-CoV-2 positive individual's samples. At NOVA University of Lisbon, presential work was partially resumed on May 25th with staggered schedules. From June 15th to 30th, 3–4 weeks after the easing of confinement measures, we screened 1,636 collaborators of NOVA university of Lisbon for the presence of SARS-CoV-2 spike specific IgA and IgG antibodies. We found that spike-specific IgG in 50 of 1,636 participants (3.0%), none of which had anti-spike IgA antibodies. As participants self-reported as asymptomatic or paucisymptomatic, our study also provides a measurement of the prevalence of asymptomatic/paucisymptomatic SARS-CoV-2 infections. Our study suggests that essential workers have a 2-fold increase in viral exposure, when compared to non-essential workers that observed confinement. Additional serological surveys in different population subgroups will paint a broader picture of the effect of the confinement measures in the broader community.publishersversionpublishe

A Gene Expression Signature to Select Hepatocellular Carcinoma Patients for Liver Transplantation

Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc.OBJECTIVE: To propose a new decision algorithm combining biomarkers measured in a tumor biopsy with clinical variables, to predict recurrence after liver transplantation (LT). SUMMARY BACKGROUND DATA: Liver cancer is one of the most frequent causes of cancer-related mortality. LT is the best treatment for hepatocellular carcinoma (HCC) patients but the scarcity of organs makes patient selection a critical step. Additionally, clinical criteria widely applied in patient eligibility decisions miss potentially curable patients while selecting patients that relapse after transplantation. METHODS: A literature systematic review singled out candidate biomarkers whose RNA levels were assessed by quantitative PCR in tumor tissue from 138 HCC patients submitted to LT (>5 y follow up, 32% beyond Milan criteria). The resulting four gene signature was combined with clinical variables to develop a decision algorithm using machine learning approaches. The method was named HepatoPredict. RESULTS: HepatoPredict identifies 99% disease-free patients (>5 y) from a retrospective cohort, including many outside clinical criteria (16%-24%), thus reducing the false negative rate. This increased sensitivity is accompanied by an increased positive predictive value (88,5%-94,4%) without any loss of long-term overall survival or recurrence rates for patients deemed eligible by HepatoPredict; those deemed ineligible display marked reduction of survival and increased recurrence in the short and long term. CONCLUSIONS: HepatoPredict outperforms conventional clinical-pathologic selection criteria, (Milan, UCSF) providing superior prognostic information. Accurately identifying which patients most likely benefit from LT enables an objective stratification of waiting lists and information-based allocation of optimal versus suboptimal organs.publishersversionepub_ahead_of_prin

Measuring adherence to inhaled control medication in patients with asthma: Comparison among an asthma app, patient self‐report and physician assessment

Background Previous studies have demonstrated the feasibility of using an asthma app to support medication management and adherence but failed to compare with other measures currently used in clinical practice. However, in a clinical setting, any additional adherence measurement must be evaluated in the context of both the patient and physician perspectives so that it can also help improve the process of shared decision making. Thus, we aimed to compare different measures of adherence to asthma control inhalers in clinical practice, namely through an app, patient self-report and physician assessment. Methods This study is a secondary analysis of three prospective multicentre observational studies with patients (≥13 years old) with persistent asthma recruited from 61 primary and secondary care centres in Portugal. Patients were invited to use the InspirerMundi app and register their inhaled medication. Adherence was measured by the app as the number of doses taken divided by the number of doses scheduled each day and two time points were considered for analysis: 1-week and 1-month. At baseline, patients and physicians independently assessed adherence to asthma control inhalers during the previous week using a Visual Analogue Scale (VAS 0–100). Results A total of 193 patients (72% female; median [P25–P75] age 28 [19–41] years old) were included in the analysis. Adherence measured by the app was lower (1 week: 31 [0–71]%; 1 month: 18 [0–48]%) than patient self-report (80 [60–95]) and physician assessment (82 [51–94]) (p 0.05). There was a moderate correlation between patient self-report and physician assessment (ρ = 0.596, p < 0.001). Conclusions Adherence measured by the app was lower than that reported by the patient or the physician. This was expected as objective measurements are commonly lower than subjective evaluations, which tend to overestimate adherence. Nevertheless, the low adherence measured by the app may also be influenced by the use of the app itself and this needs to be considered in future studies.info:eu-repo/semantics/publishedVersio

SARS-CoV-2 introductions and early dynamics of the epidemic in Portugal

Genomic surveillance of SARS-CoV-2 in Portugal was rapidly implemented by the National Institute of Health in the early stages of the COVID-19 epidemic, in collaboration with more than 50 laboratories distributed nationwide. Methods By applying recent phylodynamic models that allow integration of individual-based travel history, we reconstructed and characterized the spatio-temporal dynamics of SARSCoV-2 introductions and early dissemination in Portugal. Results We detected at least 277 independent SARS-CoV-2 introductions, mostly from European countries (namely the United Kingdom, Spain, France, Italy, and Switzerland), which were consistent with the countries with the highest connectivity with Portugal. Although most introductions were estimated to have occurred during early March 2020, it is likely that SARS-CoV-2 was silently circulating in Portugal throughout February, before the first cases were confirmed. Conclusions Here we conclude that the earlier implementation of measures could have minimized the number of introductions and subsequent virus expansion in Portugal. This study lays the foundation for genomic epidemiology of SARS-CoV-2 in Portugal, and highlights the need for systematic and geographically-representative genomic surveillance.We gratefully acknowledge to Sara Hill and Nuno Faria (University of Oxford) and Joshua Quick and Nick Loman (University of Birmingham) for kindly providing us with the initial sets of Artic Network primers for NGS; Rafael Mamede (MRamirez team, IMM, Lisbon) for developing and sharing a bioinformatics script for sequence curation (https://github.com/rfm-targa/BioinfUtils); Philippe Lemey (KU Leuven) for providing guidance on the implementation of the phylodynamic models; Joshua L. Cherry (National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health) for providing guidance with the subsampling strategies; and all authors, originating and submitting laboratories who have contributed genome data on GISAID (https://www.gisaid.org/) on which part of this research is based. The opinions expressed in this article are those of the authors and do not reflect the view of the National Institutes of Health, the Department of Health and Human Services, or the United States government. This study is co-funded by Fundação para a Ciência e Tecnologia and Agência de Investigação Clínica e Inovação Biomédica (234_596874175) on behalf of the Research 4 COVID-19 call. Some infrastructural resources used in this study come from the GenomePT project (POCI-01-0145-FEDER-022184), supported by COMPETE 2020 - Operational Programme for Competitiveness and Internationalisation (POCI), Lisboa Portugal Regional Operational Programme (Lisboa2020), Algarve Portugal Regional Operational Programme (CRESC Algarve2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF), and by Fundação para a Ciência e a Tecnologia (FCT).info:eu-repo/semantics/publishedVersio

Viral genetic clustering and transmission dynamics of the 2022 mpox outbreak in Portugal

Pathogen genome sequencing during epidemics enhances our ability to identify and understand suspected clusters and investigate their relationships. Here, we combine genomic and epidemiological data of the 2022 mpox outbreak to better understand early viral spread, diversification and transmission dynamics. By sequencing 52% of the confirmed cases in Portugal, we identified the mpox virus sublineages with the highest impact on case numbers and fitted them into a global context, finding evidence that several international sublineages probably emerged or spread early in Portugal. We estimated a 62% infection reporting rate and that 1.3% of the population of men who have sex with men in Portugal were infected. We infer the critical role played by sexual networks and superspreader gatherings, such as sauna attendance, in the dissemination of mpox virus. Overall, our findings highlight genomic epidemiology as a tool for the real-time monitoring and control of mpox epidemics, and can guide future vaccine policy in a highly susceptible population.info:eu-repo/semantics/publishedVersio

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

Os aspectos atuais epidemiológicos e clínicos da Monkeypox: uma revisão de literatura

Neste artigo propomos um estudo que visa entender a fisiopatologia da Varíola dos Macacos, bem como seu quadro clínico e sua epidemiologia atual. Revisão de literatura de caráter exploratório, com uma avaliação de pesquisas e casos da prática clínica, em que se fez uma análise da epidemiologia da Varíola dos Macacos e seu quadro clínico. Foram selecionados 31 estudos para compor essa revisão de literatura. Entre as bases de dados selecionadas estão: PubMed, BVS, Google Scholar e SciELO. A análise das pesquisas mostrou uma ascensão da Monkeypox por todo o mundo após o ano de 2022.&nbsp; A sintomatologia tem sido muito diversa, tendo como principais sinais e sintomas lesões cutâneas, febre e linfadenopatias. A maioria dos casos não precisou de hospitalização. Contudo, em pacientes imunossuprimidos, crianças e gestantes a infecção se mostrou mais perigosa. A Monkeypox deixou de ser endêmica da África Ocidental no ano de 2022 e vem tomando proporções globais desde então. É de suma importância pesquisas epidemiológicas de rotina para que a doença seja controlada de perto e para que os profissionais da saúde tenham consciência de seu quadro clínico para a adequada notificação da doença