8 research outputs found
SDL1-systeem
No full textDe door de CCITT voorgestelde taal voor specificatie en beschrijving van telecommunicatiesystemen (SDL) kent een grafische presentatievorm (SDL.GR). Ten behoeve van het ontwerpen van deze diagrammen is een geautomatiseerd systeem ontwikkeld. De opdracht omvat het onderzoek naar nieuwe noodzakelijke en wenselijke faciliteiten in dit systeem en het implementeren er van. Met name wordt gedacht aan de mogelijkheid van het wijzigen van SDL-diagrammen op diagramniveau ("editing"), het genereren van toestandsdiagrammen en signaallijsten.Electrical Engineering, Mathematics and Computer ScienceVakgroep Automatische Verkeerssysteme
Suffering and Serious Illness: Examining the role of non-religious and religious meaning and coping
No full textThis thesis examines the experience of suffering within the context of serious illness. The focus is laid on exploring the role of non-religious and religious meaning and coping within the adversity and struggles of being (or falling) seriously ill. By shedding light and reviewing the existing literature regarding these concepts and examining conducted qualitative and quantitative empirical studies, the author attempts to clarify, compare, and illustrate how these concepts are intertwined and how they affect the coping process in regards to alleviating the negative effects of illness-induced suffering. Four distinct dimensions of well-being and suffering will be taken into consideration. These being: physical, psychological, social, and spiritual well-being
Suffering and Serious Illness: Examining the role of non-religious and religious meaning and coping
No full textThis thesis examines the experience of suffering within the context of serious illness. The focus is laid on exploring the role of non-religious and religious meaning and coping within the adversity and struggles of being (or falling) seriously ill. By shedding light and reviewing the existing literature regarding these concepts and examining conducted qualitative and quantitative empirical studies, the author attempts to clarify, compare, and illustrate how these concepts are intertwined and how they affect the coping process in regards to alleviating the negative effects of illness-induced suffering. Four distinct dimensions of well-being and suffering will be taken into consideration. These being: physical, psychological, social, and spiritual well-being
SOME COLOUR ABERRATIONS IN PARAGUAYAN BIRDS RESULTING IN AREAS OF WHITE PLUMAGE
No full textAbstract.- Some colour aberrations in Paraguayan birds resulting in areas of white plumage. We provide photographic documentation of a series of plumage aberrations in Paraguayan birds of nine species in seven families from four political departments. These include evidence of partial Leucism and Progressive Greying in Fulica leucoptera, Ortalis canicollis, Patagioenas picazuro, Columbina talpacoti, Eleothreptus candicans, Crotophaga ani, Molothrus bonariensis, Conirostrum speciosum and Sicalis flaveola.
Key Words: Caprimulgidae, Columbidae, Cuculidae, Cracidae, Leucism, Progressive Greying
Algunas aberraciones de color en aves Paraguayas resultando en áreas de plumaje blanco.
Resumen.- Se documentan varias aberraciones de plumajes en aves paraguayas de nueve especies en siete familias y de cuatro departamentos políticos. Se incluyen registros de leucismo parcial y encanecimiento progresivo en Fulica leucoptera, Ortalis canicollis, Patagioenas picazuro, Columbina talpacoti, Eleothreptus candicans, Crotophaga ani, Molothrus bonariensis, Conirostrum speciosum y Sicalis flaveola.
Palabras clave: Caprimulgidae, Columbidae, Cuculidae, Cracidae, encanecimiento progresivo, leucismoWe provide photographic documentation of a series of plumage aberrations in eight species of seven families of birds observed in four departments of Paraguay. These include evidence of partial leucism and progressive greying in White-winged Coot Fulica leucoptera, Chaco Chachalaca Ortalis canicollis, Picazuro Pigeon Patagioenas picazuro, White-winged Nightjar Eleothreptus candicans, Smooth-billed Ani Crotophaga ani, Shiny Cowbird Molothrus bonariensis, Chestnut-vented Conebill Conirostrum speciosum and Saffron Finch Sicalis flaveola. This contributes significantly to the Paraguayan literature on plumage aberrations in birds
Prediction of signal peptides in archaea
No full textComputational prediction of signal peptides (SPs) and their cleavage sites is of great importance in computational biology; however, currently there is no available method capable of predicting reliably the SPs of archaea, due to the limited amount of experimentally verified proteins with SPs. We performed an extensive literature search in order to identify archaeal proteins having experimentally verified SP and managed to find 69 such proteins, the largest number ever reported. A detailed analysis of these sequences revealed some unique features of the SPs of archaea, such as the unique amino acid composition of the hydrophobic region with a higher than expected occurrence of isoleucine, and a cleavage site resembling more the sequences of gram-positives with almost equal amounts of alanine and valine at the position-3 before the cleavage site and a dominant alanine at position-1, followed in abundance by serine and glycine. Using these proteins as a training set, we trained a hidden Markov model method that predicts the presence of the SPs and their cleavage sites and also discriminates such proteins from cytoplasmic and transmembrane ones. The method performs satisfactorily, yielding a 35-fold cross-validation procedure, a sensitivity of 100% and specificity 98.41% with the Matthews' correlation coefficient being equal to 0.964. This particular method is currently the only available method for the prediction of secretory SPs in archaea, and performs consistently and significantly better compared with other available predictors that were trained on sequences of eukaryotic or bacterial origin. Searching 48 completely sequenced archaeal genomes we identified 9437 putative SPs. The method, PRED-SIGNAL, and the results are freely available for academic users at http://bioinformatics.biol.uoa.gr/PRED-SIGNAL/ and we anticipate that it will be a valuable tool for the computational analysis of archaeal genomes. © The Author 2008. Published by Oxford University Press. All rights reserved
3D-printed electrochemical glucose device with integrated Fe(II)-MOF nanozyme
No full textEstimation of glucose (GLU) levels in the human organism is very important in the diagnosis and monitoring of diabetes. Scientific advances in nanomaterials have led to the construction of new generations of enzymatic-free GLU sensors. In this work, an innovative 3D-printed device modified with a water-stable and non-toxic metal–organic framework of iron (Fe(II)-MOF), which serves as a nanozyme, has been developed for the voltammetric determination of GLU in artificial sweat. In contrast to existing MOF-based GLU sensors which exhibit electrocatalytic activity for the oxidation of GLU in alkaline media, the nanozyme Fe(II)-MOF/3D-printed device can operate in the acidic epidermal sweat environment. The enzymatic-free GLU sensor is composed of a 3-electrode 3D-printed device with the MOF nanozyme immobilized on the surface of the working electrode. GLU sensing is conducted by differential pulse voltammetry without interference from other co-existing metabolites in artificial sweat. The response is based on the oxidation of glucose to gluconolactone, induced by the redox activity of the Fe-centers of the MOF. GLU gives rise to an easily detectable and well-defined voltammetric peak at about − 1.2 V and the limit of detection is 17.6 μmol L-1. The synergy of a nanozyme with 3D printing technology results in an advanced, sensitive, and low-cost sensor, paving the way for on-skin applications. Graphical abstract: [Figure not available: see fulltext.]. © 2023, The Author(s)
Multi-branch Convolutional Neural Network for Identification of Small Non-coding RNA genomic loci
No full textGenomic regions that encode small RNA genes exhibit characteristic patterns in their sequence, secondary structure, and evolutionary conservation. Convolutional Neural Networks are a family of algorithms that can classify data based on learned patterns. Here we present MuStARD an application of Convolutional Neural Networks that can learn patterns associated with user-defined sets of genomic regions, and scan large genomic areas for novel regions exhibiting similar characteristics. We demonstrate that MuStARD is a generic method that can be trained on different classes of human small RNA genomic loci, without need for domain specific knowledge, due to the automated feature and background selection processes built into the model. We also demonstrate the ability of MuStARD for inter-species identification of functional elements by predicting mouse small RNAs (pre-miRNAs and snoRNAs) using models trained on the human genome. MuStARD can be used to filter small RNA-Seq datasets for identification of novel small RNA loci, intra- and inter- species, as demonstrated in three use cases of human, mouse, and fly pre-miRNA prediction. MuStARD is easy to deploy and extend to a variety of genomic classification questions. Code and trained models are freely available at gitlab.com/RBP_Bioinformatics/mustard. © 2020, The Author(s)
