Search results for "Distance"

showing 10 items of 1009 documents

Body size increase in insular rodent populations: A role for predators?

2002

Insular mammalian populations living in areas of small size are often characterized by a drastic change in body mass compared to related continental populations or species. Generally, small mammals (less than 100 g) evolve into giant forms while large mammals (up to 100 g) evolve into dwarf forms. These changes, coupled with changes in other life, behavioural, physiological or demographic traits are referred to generally as the insular syndrome. We tested in this study the relative contribution of three factors - area of island, numbers of competitor species and number of predator species - to changes in body size of the woodmouse (Apodemus sylvaticus) in the Western Mediterranean Sea. Our …

IslandsPredatorsWestern MediterraneanApodemus sylvaticusComparative analysesGenetic distancesSettore BIO/05 - ZoologiaBody sizeRodentsInsular syndrome
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Attālināto mācību procesa elementi un to izmantošanas iespējas pamatskolas (5.-9. klase) svešvalodu stundās klātienē

2021

Diplomdarba temats “Attālināto mācību procesa elementi un to izmantošanas iespējas pamatskolas (5.-9. Klase) svešvalodu stundās klātienē” ir aktuāls, jo kopš 2020. gada globālās pandēmijas sākšanās, mācību process daudzās pasaules valstīs ir ticis pārcelts pilnībā uz attālinātu. Svešvalodu apguve pamatskolas klasēs pirmo reizi noris attālināti. Darba mērķis ir izpētīt attālināto mācību procesa elementus, kurus būtu ieteicams efektīvi izmantot arī klātienes mācībās svešvalodu apguvei pamatskolas klasēs (5.-9. klase). Darbā ir noskaidrotas attālināto mācību, pašvadītas mācīšanās un mācību motivācijas jēdzienu definīcijas, kā arī iezīmēti attālināto mācību galvenie elementi. Fokusējoties uz sv…

Izglītības zinātnesdistance learninglearning foreign languages remotelysvešvalodu apguve attālinātiattālinātās mācības
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Attālināto mācību procesa elementi un to izmantošanas iespējas pamatskolas (5.-9. klase) svešvalodu stundās klātienē

2021

Diplomdarba temats “Attālināto mācību procesa elementi un to izmantošanas iespējas pamatskolas (5.-9. Klase) svešvalodu stundās klātienē” ir aktuāls, jo kopš 2020. gada globālās pandēmijas sākšanās, mācību process daudzās pasaules valstīs ir ticis pārcelts pilnībā uz attālinātu. Svešvalodu apguve pamatskolas klasēs pirmo reizi noris attālināti. Darba mērķis ir izpētīt attālināto mācību procesa elementus, kurus būtu ieteicams efektīvi izmantot arī klātienes mācībās svešvalodu apguvei pamatskolas klasēs (5.-9. klase). Darbā ir noskaidrotas attālināto mācību, pašvadītas mācīšanās un mācību motivācijas jēdzienu definīcijas, kā arī iezīmēti attālināto mācību galvenie elementi. Fokusējoties uz sv…

Izglītības zinātnesdistance learninglearning foreign languages remotelysvešvalodu apguve attālinātiattālinātās mācības
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A 3D deep learning approach based on Shape Prior for automatic segmentation of myocardial diseases

2020

Accurate three-dimensional (3D) cardiac segmentation from late gadolinium enhancement (LGE)-MRI plays a critical role in designing a structure of reference for diagnosing many cardiac pathologies such as ischemia, myocarditis and myocardial infarction. This segmentation is however still a non-trivial task, due to the motion artifacts during acquisition, and heterogeneous intensity distributions. In this study, we develop a fully 3D automated model based on deep neural networks (DNN) for LGE-MRI myocardial pathologies (scar and No-reflow tissues) segmentation in a new expert annotated dataset. Considering that damaged tissue constitutes a small area of the whole LGE-MRI, we concentrated on m…

Jaccard indexSimilarity (geometry)Artificial neural networkComputer sciencebusiness.industryDeep learningPattern recognition030204 cardiovascular system & hematology030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineHausdorff distance[INFO.INFO-IM]Computer Science [cs]/Medical Imagingcardiovascular systemSegmentationcardiovascular diseasesArtificial intelligencebusinessComputingMilieux_MISCELLANEOUSVolume (compression)2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)
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Negotiating the symbolic power of information and communication technologies (ICT): The spread of Internet-supported distance education

2009

Submitted version of an article in the journal: Information Technology for Development The deposited fulltext is a preprint of the definitive article at Wiley Interscience http://dx.doi.org/10.1002/itdj.20110 The Internet may be, as typically suggested, important in distance education for facilitating connections between groups of students, educational institutions, and external learning resources. This article, however, reveals why this is not the only reason for applying information and communication technologies (ICT) in higher education in a remote area in a developing country. In addition, the Internet seems to be of great importance in symbolizing modernization and progress, thereby a…

Knowledge managementPublic AdministrationHigher educationVDP::Social science: 200::Economics: 210Computer sciencebusiness.industrymedia_common.quotation_subjectDistance educationDeveloping countryVDP::Technology: 500::Information and communication technology: 550DevelopmentPublic relationsModernization theoryComputer Science ApplicationsNegotiationInformation and Communications TechnologyThe InternetbusinessSymbolic powermedia_commonInformation Technology for Development
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Human Capital and E-Learning

2009

Companies are increasingly conscious of the fact that the achieving of their objectives, together with the improvement of their competitive advantages, depends on the appropriate management of the human factor. The dynamism and strong competition that characterize the business world make it increasingly necessary to introduce a system of human resources to allow the exploiting of the knowledge and skills of both people and teams, thus encouraging their learning capacity. In this context, e-learning is becoming established as a flexible and quick way of improving the acquiring of knowledge and skills within a company. The rapid growth and expansion of e-learning, together with the failure of…

Knowledge managementbusiness.industryE-learning (theory)Distance educationVirtual learning environmentBusinessCertificationHuman capital
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Overcoming Cultural Distance in Social OER Environments

2014

Open educational resources (OERs) provide opportunities as enablers of societal development, but they also create new challenges. From the perspective of content providers and educational institutions, particularly, cultural and context-related challenges emerge. Even though barriers regarding large-scale adoption of OERs are widely discussed, empirical evidence for determining challenges in relation to particular contexts is still rare. Such context-specific barriers generally can jeopardize the acceptance of OERs and, in particular, social OER environments. We conducted a large-scale (N = 855) cross-European investigation in the school context to determine how teachers and learners percei…

Knowledge managementbusiness.industrySocial softwarePerspective (graphical)Psychological interventionContext (language use)Public relationscomputer.software_genreesteetOpen educational resourcesavoimet oppimateriaalitIdentification (information)cultural distancekulttuuriEnablingCultural distanceTELOERsocial softwareSociologybusinesscomputer
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Experience in Implementing Distance Learning Technologies in an International Context

2021

The relevance of the study is determined by socio-cultural processes, which necessitate the revision of methods for organising the educational process, in particular the transition to distance learning, and the establishment of correlations with international standards. The purpose of the article is to identify the features, advantages, and disadvantages of distance learning, along with the prospects for development in accordance with the comparative analysis of Ukrainian and foreign experience with distance education. Methods and techniques varied depending on the tasks at each research stage, thus, the method of a targeted selection, the comparative method, the generalisation and systemat…

Knowledge managementbusiness.industryeducational technologiesDistance educationContext (language use)Lpedagogical learning technologiesEducationBF1-990distance learningPsychologyself-educationSociologybusinesse-learningScientific Bulletin of Mukachevo State University. Series «Pedagogy and Psychology»
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Comparison of genomic sequences clustering using Normalized Compression Distance and Evolutionary Distance

2008

Genomic sequences are usually compared using evolutionary distance, a procedure that implies the alignment of the sequences. Alignment of long sequences is a long procedure and the obtained dissimilarity results is not a metric. Recently the normalized compression distance was introduced as a method to calculate the distance between two generic digital objects, and it seems a suitable way to compare genomic strings. In this paper the clustering and the mapping, obtained using a SOM, with the traditional evolutionary distance and the compression distance are compared in order to understand if the two distances sets are similar. The first results indicate that the two distances catch differen…

Kolmogorov complexityuniversal similarity metricComputer sciencebusiness.industryDNA sequencePattern recognitionGenomic Sequence ClusteringCompression (functional analysis)Normalized compression distanceArtificial intelligenceCluster analysisbusinessDistance matrices in phylogenyclustering
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Lung CT Image Registration through Landmark-constrained Learning with Convolutional Neural Network

2020

Accurate registration of lung computed tomography (CT) image is a significant task in thorax image analysis. Recently deep learning-based medical image registration methods develop fast and achieve promising performance on accuracy and speed. However, most of them learned the deformation field through intensity similarity but ignored the importance of aligning anatomical landmarks (e.g., the branch points of airway and vessels). Accurate alignment of anatomical landmarks is essential for obtaining anatomically correct registration. In this work, we propose landmark constrained learning with a convolutional neural network (CNN) for lung CT registration. Experimental results of 40 lung 3D CT …

LandmarkSimilarity (geometry)medicine.diagnostic_testArtificial neural networkComputer sciencebusiness.industryDeep learningImage registrationComputed tomographyThoraxConvolutional neural network030218 nuclear medicine & medical imagingEuclidean distance03 medical and health sciences0302 clinical medicinemedicineComputer visionNeural Networks ComputerTomographyArtificial intelligenceTomography X-Ray ComputedbusinessLung030217 neurology & neurosurgery2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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