3,580 research outputs found
Syllogist, a reference-based algorithm for cell type estimation
No full textR script and associated reference map used in the manuscript:
"Tumor-associated hematopoietic stem and progenitor cells positively linked to glioblastoma progression" by Lu I* and Dobersalske C*, Rauschenbach L, Teuber-Hanselmann S, Steinbach A, Ullrich V, Prasad S, Blau T, Kebir S, Siveke JT, Becker JC, Sure U, Glas M, Scheffler B* and Cima I*.
Funding: Wilhelm Sander Stiftung (2017.148.1), the German Cancer Consortium (DKTK)Contact: [email protected]
The Benefits of e-business Performance Measurement Systems: A report for CIMA – the Chartered Institute of Management Accountants
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Experimental and analytical study of random fatigue, in time and frequencies domain, on an industrial wheel
No full textIndustrial wheels are components subject to fatigue under a high number of stress cycles, depending on the type of vehicle they are installed to. The reliability of these components is strictly dependent on the accuracy of the fatigue validation method adopted. A common practice in the industry is to test loads under constant amplitude in laboratory through fatigue and test parameters according to the standards used in the industry. The object of this research is to compare the results in terms of damage and the number of failure cycles, adopting both the time domain and frequency domain approach on a real industrial component. Different theories were developed and applied to the real case of study of an industrial wheel, under specific load cases. Eventually, we applied different criteria to the numerical analysis. The added value of this study is the application of the fatigue criteria on a real industrial component, in order to check the reliability of the criteria. Eventually, we determined that the results show that, for these specific experimental load conditions, frequency-domain methods are a bit more conservative than time-domain methods
Adulte e adulti, anziani e bambini per una educazione trigenerazionale
No full textil saggio approfondisce è la dimensione trigenerazionale nelle relazioni educative con riferimento alla narrazione intesa come uno dei contesti privilegiati, formali, non formali e informali, di apprendimento lungo il corso della vita. La facoltà di narrare è una delle attività più antiche per conoscere il mondo ed è a disposizione di tutti. Il racconto, quando è orientato da un percorso pedagogico, permette di elaborare le esperienze, si costruiscono quei passaggi che riguardano lo sviluppo di ciascun essere umano e, non da ultimo, la possibilità di nutrire relazioni significative. Le progettazioni intergenerazionali sono sovente concentrate nelle azioni tra anziani e giovani, mentre l’età adulta, pur essendo al centro di tali percorsi, non risulta messa a tema. La prospettiva trigenerazionale, che il saggio propone, prende spunto dalla terapia familiare sistemica, dalle osservazioni di D. Winnicott e dalla letteratura sulla genealogia femminile. Tenere in compresenza tre generazioni, a partire dagli strumenti narrativi, offre una visione più complessa e più ricca delle singole età e dei singoli soggetti. Mantenere presente questa “dimensione a tre” contribuisce a tenere vive le traiettorie relative al “da dove veniamo” di ogni essere umano, aiuta a comprendere che ciascuno non ha solo una storia individuale ma soprattutto collettiva
Animazione come cura
No full textIl lavoro con i pazienti residenti in una istituzione totale richiede una costante riflessione sia sulle pratiche quotidiane dell'assistenza, sia sulla cultura che l'istituzione e tutto il personale costruisce intorno alla cura. Questi temi sono coniugati nell'assistenza e cura alle persone anziane e ai loro familiari
Visitare il nostro futuro: storie di vita e di età anziana
No full textL'articolo offre un'analisi dell'intimo sentire di questa età dove la storia di sè, la memoria, la narrazione diventano elementi di identità per la persona
Conscience: Moral cognitions, moral emotions, and moral behavior
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Abstraction in ontology-based data management
No full textIn many aspects of our society there is growing awareness and consent on the need for data-driven approaches that are resilient, transparent, and fully accountable. But in order to fulfil the promises and benefits of a data-driven society, it is necessary that the data services exposed by the organisations' information systems are well-documented, and their semantics is clearly specified. Effectively documenting data services is indeed a crucial issue for organisations, not only for governing their own data, but also for interoperation purposes.
In this thesis, we propose a new approach to automatically associate formal semantic descriptions to data services, thus bringing them into compliance with the FAIR guiding principles, i.e., make data services automatically Findable, Accessible, Interoperable, and Reusable (FAIR). We base our proposal on the Ontology-based Data Management (OBDM) paradigm, where a domain ontology is used to provide a semantic layer mapped to the data sources of an organisation, thus abstracting from the technical details of the data layer implementation.
The basic idea is to characterise or explain the semantics of a given data service expressed as query over the source schema in terms of a query over the ontology. Thus, the query over the ontology represents an abstraction of the given data service in terms of the domain ontology through the mapping, and, together with the elements in the vocabulary of the ontology, such abstraction forms a basis for annotating the given data service with suitable metadata expressing its semantics.
We illustrate a formal framework for the task of automatically produce a semantic characterisation of a given data service expressed as a query over the source schema. The framework is based on three semantically well-founded notions, namely perfect, sound, and complete source-to-ontology rewriting, and on two associated basic computational problems, namely verification and computation. The former verifies whether a given query over the ontology is a perfect (respectively, sound, complete) source-to-ontology rewriting of a given data service expressed as a query over the source schema, whereas the latter computes one such rewriting, provided it exists. We provide an in-depth complexity analysis of these two computational problems in a very general scenario which uses languages amongst the most popular considered in the literature of managing data through an ontology. Furthermore, since we study also cases where the target query language for expressing source-to-ontology rewritings allows inequality atoms, we also investigate the problem of answering queries with inequalities over lightweight ontologies, a problem that has been rarely addressed. In another direction, we study and advocate the use of a non-monotonic target query language for expressing source-to-ontology rewritings. Last but not least, we outline a detailed related work, which illustrates how the results achieved in this thesis notably contributes to new results in the Semantic Web context, in the relational database theory, and in view-based query processing
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