Search results for "Dolo"
showing 10 items of 4274 documents
Romanian Folk Literature in Our Classes: A Proposal for the Development of Intercultural Competence
2015
Abstract The present research highlights the ways in which folk literature, this valuable tool that contributes to students’ formation from both a human and literary perspective, can promote intercultural competence in class and foster a better integration within the community, while consolidating favorable attitudes towards interculturality. We share Rodriguez Almodovar's view (2009), according to which the folk story makes the geographic space expand; it channels affectivity, while guiding the learning process towards the acceptance of social values that are representative for each culture. The objectives of our study are focused, on the one hand, on improving intercultural competence amo…
The PASSI and Agile PASSI MAS Meta-models Compared with a Unifying Proposal
2005
A great number of processes for multi-agent systems design have been presented in last years to support the different approaches to agent-oriented design; each process is specific for a particular class of problems and it instantiates a specific MAS meta-model. These differences produce inconsistences and overlaps: a MAS meta-model may define a term not referred by another, or the same term can be used with a different meaning. We think that the lack of a standardization may cause a significant delay to the diffusion of the agent paradigm outside research context. Working for this unification goal, it is also necessary to define in unambiguous way the terms of the agent model and their rela…
THE TOPOLOGY OF BASIN BOUNDARIES IN A CLASS OF THREE-DIMENSIONAL DYNAMICAL SYSTEMS
1996
We will develop new methods to determine the topology of the basin boundary in a class of three-dimensional dynamical systems. One approach is to approximate the basin boundary by backward integration. Unfortunately, there are dynamical systems where it is hard to approximate the basin boundary by a numerical backward integration algorithm. We will introduce topological methods which will provide new information about the structure of the basin boundary. The topological invariants which we will use can be numerically computed.
Weaving words for textile museums: the development of the linked SILKNOW thesaurus.
2022
Abstract The cultural heritage domain in general and silk textiles, in particular, are characterized by large, rich and heterogeneous data sets. Silk heritage vocabulary comes from multiple sources that have been mixed up across time and space. This has led to the use of different terminology in specialized organizations in order to describe their artefacts. This makes data interoperability between independent catalogues very difficult. To address these issues, SILKNOW created a multilingual thesaurus related to silk textiles. It was carried out by experts in textile terminology and art historians and computationally implemented by experts in text mining, multi-/cross-linguality and semanti…
La Valutazione delle Tecnologie Sanitarie. The Health Technology Assessment
2004
The aim of this paper was to describe exhaustively, but concisely, the matter of the health technology assessment. It is a method of evaluating health technologies based on principles and tools of Evidence Based Medicine. We started from etymology to speak about its definition and implementation methodology. Moreover we guide the reader throughout the constellation of international societies of health technology assessment and the meaning of their international cooperation. Finally, we deal with the health technology assessment as a tool being an integral part of the clinical governance process.
From Research on Dialogical Practice to Dialogical Research: Open Dialogue Is Based on a Continuous Scientific Analysis
2020
Open dialogue is based on systematic research since the very beginning of the development. In every new phase of the development and reorganization of the psychiatric organization, research was needed for both understanding the phenomenon of the therapeutic processes and detecting the outcome of the new approach. The research is “naturalistic” in the way that it takes place within the everyday – natural – clinical practice following what happens there. This means that the research designs do not change the clinical practice for the research, as so often done in empiristic clinical trials. The research employs “mixed method research” to identify all the possible elements of the object of the…
SMART: Unique splitting-while-merging framework for gene clustering
2014
© 2014 Fa et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Successful clustering algorithms are highly dependent on parameter settings. The clustering performance degrades significantly unless parameters are properly set, and yet, it is difficult to set these parameters a priori. To address this issue, in this paper, we propose a unique splitting-while-merging clustering framework, named "splitting merging awareness tactics" (SMART), which does not require any a priori knowledge of either the number …
Computation Cluster Validation in the Big Data Era
2017
Data-driven class discovery, i.e., the inference of cluster structure in a dataset, is a fundamental task in Data Analysis, in particular for the Life Sciences. We provide a tutorial on the most common approaches used for that task, focusing on methodologies for the prediction of the number of clusters in a dataset. Although the methods that we present are general in terms of the data for which they can be used, we offer a case study relevant for Microarray Data Analysis.
Data Analysis and Bioinformatics
2007
Data analysis methods and techniques are revisited in the case of biological data sets. Particular emphasis is given to clustering and mining issues. Clustering is still a subject of active research in several fields such as statistics, pattern recognition, and machine learning. Data mining adds to clustering the complications of very large data-sets with many attributes of different types. And this is a typical situation in biology. Some cases studies are also described.
Structural clustering of millions of molecular graphs
2014
We propose an algorithm for clustering very large molecular graph databases according to scaffolds (i.e., large structural overlaps) that are common between cluster members. Our approach first partitions the original dataset into several smaller datasets using a greedy clustering approach named APreClus based on dynamic seed clustering. APreClus is an online and instance incremental clustering algorithm delaying the final cluster assignment of an instance until one of the so-called pending clusters the instance belongs to has reached significant size and is converted to a fixed cluster. Once a cluster is fixed, APreClus recalculates the cluster centers, which are used as representatives for…