Pollen morphology of the endemic genera of the Madeira archipelago, Portugal

ABSTRACT: This study presents the first palynological characterisation of the five endemic plant genera of the Madeira archipelago: Chamaemeles Lindl, Melanoselinum Hoffm., Monizia Lowe, Musschia Dumort and Sinapidendron Lowe. Pollen grain morphology of ten endemic species was studied using light and scanning electron microscopy techniques. The size and shape of pollen grains, the polar axis, the equatorial diameter, and the exine ornamentation were measured and described. We found that the pollen grains of the five endemic genera are all medium-size monads. The close relative apiaceous Melanoselinum and Monizia differ in polar (P) and equatorial (E) diameter size and exine ornamentation while Sinapidendron species show differences in P, E, and P/E ratios. The pollen grains of the two Musschia species are very similar to each other, but differ in morphology and ornamentation from the Macaronesian endemic bellflowers Azorina vidalii and Canarina canariensis. This study unveiled differences between the endemic taxa and with their close related species, thus providing support to previous taxonomic findings.info:eu-repo/semantics/publishedVersio

Durability study of the aisi 1024hr and aisi 304hr alloys applied in the organic waste industry

LA25-2013-2014This paper studies the durability of hot rolled steel alloys, AISI 1024 and AISI 304, considering their application in components of the solid waste industry. Through the analyse of the intrinsic manufacturing defects, microhardness and fatigue study with and without corrosion results, is presented a new approach to determine the durability of two steel alloys based on fatigue limit stress prediction models. For the study of the effect of the corrosion the test specimens to obtain the S-N curves were submitted to organic waste for 48 hours.publishersversionpublishe

Phase-resolved optical coherence elastography: an insight into tissue displacement estimation

Robust methods to compute tissue displacements in optical coherence elastography (OCE) data are paramount, as they play a significant role in the accuracy of tissue elastic properties estimation. In this study, the accuracy of different phase estimators was evaluated on simulated OCE data, where the displacements can be accurately set, and on real data. Displacement (∆) estimates were computed from (i) the original interferogram data (Δ) and two phase-invariant mathematical manipulations of the interferogram: (ii) its first-order derivative (Δ) and (iii) its integral (Δ). We observed a dependence of the phase difference estimation accuracy on the initial depth location of the scatterer and the magnitude of the tissue displacement. However, by combining the three phase-difference estimates (Δ), the error in phase difference estimation could be minimized. By using Δ, the median root-mean-square error associated with displacement prediction in simulated OCE data was reduced by 85% and 70% in data with and without noise, respectively, in relation to the traditional estimate. Furthermore, a modest improvement in the minimum detectable displacement in real OCE data was also observed, particularly in data with low signal-to-noise ratios. The feasibility of using Δ to estimate agarose phantoms’ Young’s modulus is illustrated.This research was funded by the Portuguese Foundation for Science and Technology (FCT) through PTDC/EMD-EMD/32162/2017, UIDB/4950/2020, and , and by FEDER Funds through the Operational Program for Competitiveness Factors—COMPETEinfo:eu-repo/semantics/publishedVersio

Management of surgery waiting lists in the Portuguese public healthcare network : the information system for waiting list recovery programs

Trabalho apresentado em CISTI 2016. 11.ª Conferência Ibérica de Sistemas e Tecnologias de InformaçãoEste artigo reporta a evolução do processo de gestão de listas de espera cirúrgicas na rede hospitalar pública portuguesa, pela perspetiva do trabalho de desenvolvimento e instalação de software desenvolvido pela UTAD, enquanto parceira do Ministério da Saúde, para a criação de um sistema de informação para gestão de programas de recuperação dessas listas. Descrevem-se a situação e trabalhos iniciais, quando a obtenção de dados era o maior desafio, até à situação automatizada atual. Este artigo abrange os programas PERLE, PPMA, PECLEC e SIGIC, concluindo com lições aprendidas sobre o processo e sugestões para a sua evolução.This paper presents the evolution of the process for management of surgery waiting lists in the Portuguese public hospital network. We use the perspective of the software development and deployment by UTAD, as a partner of the Ministry of Health, to create an information system to manage list recovery programs. We describe the early status and work, when data harvesting was the core challenge, up to the current automated situation. This paper bridges the PERLE, PPMA, PECLEC and SIGIC programmes, and concludes with lessons learned and suggestions for evolution of the process

Frequency and functional activity of Th17, Tc17 and other T-cell subsets in Systemic Lupus Erythematosus

To compare frequency and functional activity of peripheral blood (PB) Th(c)17, Th(c)1 and Treg cells and the amount of type 2 cytokines mRNA we recruited SLE patients in active (n = 15) and inactive disease (n = 19) and healthy age- and gender-matched controls (n = 15). The study of Th(c)17, Th(c)1 and Treg cells was done by flow cytometry and cytokine mRNA by real-time PCR. Compared to NC, SLE patients present an increased proportion of Th(c)17 cells, but with lower amounts of IL-17 per cell and also a decreased frequency of Treg, but with increased production of TGF-b and FoxP3 mRNA. In active compared to inactive SLE, there is a marked decreased in frequency of Th(c)1 cells, an increased production of type 2 cytokines mRNA and a distinct functional profile of Th(c)17 cells. Our findings suggest a functional disequilibrium of T-cell subsets in SLE which may contribute to the inflammatory process and disease pathogenesis

Innovation of Textiles through Natural By-Products and Wastes

Nowadays, the competitiveness of the textile industry and the consumers’ interest have been increasing the demand for innovative and functional textiles. Allied to this, sustainable developments are playing an increasingly important role in the textile industry. Such concerns led to a new development strategy based on the valorization of bio-based wastes and by-products of different industries, inserting this in the circular economy paradigm. These bio-based wastes and by-products come from several industries, as the agri-food industry. These resources present an enormous potential for valorization in the textile finish due to their intrinsic properties (antimicrobial, prebiotic, antioxidant activity, among others). This chapter will review the latest innovation and textile product development through different by-products and wastes, their main properties and characteristics and the advantages that they offer to the textile industry

NMF-RI: blind spectral unmixing of highly mixed multispectral flow and image cytometry data

Motivation Recent advances in multiplex immunostaining and multispectral cytometry have opened the door to simultaneously visualizing an unprecedented number of biomarkers both in liquid and solid samples. Properly unmixing fluorescent emissions is a challenging task, which normally requires the characterization of the individual fluorochromes from control samples. As the number of fluorochromes increases, the cost in time and use of reagents becomes prohibitively high. Here, we present a fully unsupervised blind spectral unmixing method for the separation of fluorescent emissions in highly mixed spectral data, without the need for control samples. To this end, we extend an existing method based on non-negative Matrix Factorization, and introduce several critical improvements: initialization based on the theoretical spectra, automated selection of ‘sparse’ data and use of a re-initialized multilayer optimizer. Results Our algorithm is exhaustively tested using synthetic data to study its robustness against different levels of colocalization, signal to noise ratio, spectral resolution and the effect of errors in the initialization of the algorithm. Then, we compare the performance of our method to that of traditional spectral unmixing algorithms using novel multispectral flow and image cytometry systems. In all cases, we show that our blind unmixing algorithm performs robust unmixing of highly spatially and spectrally mixed data with an unprecedently low computational cost. In summary, we present the first use of a blind unmixing method in multispectral flow and image cytometry, opening the door to the widespread use of our method to efficiently pre-process multiplex immunostaining samples without the need of experimental controls

Phase-Resolved Optical Coherence Elastography: An Insight into Tissue Displacement Estimation

Robust methods to compute tissue displacements in optical coherence elastography (OCE) data are paramount, as they play a significant role in the accuracy of tissue elastic properties estimation. In this study, the accuracy of different phase estimators was evaluated on simulated OCE data, where the displacements can be accurately set, and on real data. Displacement (∆d) estimates were computed from (i) the original interferogram data (Δφori) and two phase-invariant mathematical manipulations of the interferogram: (ii) its first-order derivative (Δφd) and (iii) its integral (Δφint). We observed a dependence of the phase difference estimation accuracy on the initial depth location of the scatterer and the magnitude of the tissue displacement. However, by combining the three phase-difference estimates (Δdav), the error in phase difference estimation could be minimized. By using Δdav, the median root-mean-square error associated with displacement prediction in simulated OCE data was reduced by 85% and 70% in data with and without noise, respectively, in relation to the traditional estimate. Furthermore, a modest improvement in the minimum detectable displacement in real OCE data was also observed, particularly in data with low signal-to-noise ratios. The feasibility of using Δdav to estimate agarose phantoms’ Young’s modulus is illustrated