Search results for "dimensio"
showing 10 items of 2769 documents
Inner Archipelagos in Sicily. From Culture-Based Development to Creativity-Oriented Evolution
2020
When Covid-19 arrived in Europe from the far East, the media and experts in economics and social sciences noticed that it was the expected discontinuity in the socio-economic development process. Really, the current phase has spread since the 1960s, when the application of econometric worldwide-spread development model was going to produce social inequalities, and consumption of physical, social, and cultural resources. Some places in Italy, far from the erosive and urban context and erosive metropolitan areas, are currently isolated seeds of a new cycle of life, because of the local community identity and the strong link between human, cultural, and natural components are currently working…
Efficient Online Laplacian Eigenmap Computation for Dimensionality Reduction in Molecular Phylogeny via Optimisation on the Sphere
2019
Reconstructing the phylogeny of large groups of large divergent genomes remains a difficult problem to solve, whatever the methods considered. Methods based on distance matrices are blocked due to the calculation of these matrices that is impossible in practice, when Bayesian inference or maximum likelihood methods presuppose multiple alignment of the genomes, which is itself difficult to achieve if precision is required. In this paper, we propose to calculate new distances for randomly selected couples of species over iterations, and then to map the biological sequences in a space of small dimension based on the partial knowledge of this genome similarity matrix. This mapping is then used …
L’apport thérapeutique des approches protéomiques dans les cancers
2011
Up to now, there are no protein tumor markers with a specificity and sensitivity sufficient to have a utility in prognosis and early diagnosis of cancer. Recent advances in proteomics approaches have led to the identification of novel tumor markers of cancer that may have a utility in screening strategies and treatment. The purpose of the current review is to describe the major advances in cancer proteomics, especially those related to the study of serum biomarkers, immune-related responses (autoantibodies) and alterations in cellular proteins.
Visualizing Human Protein‐Protein Interactions and Subcellular Localizations on Cell Images Through CellMap
2020
Visualizing protein data remains a challenging and stimulating task. Useful and intuitive visualization tools may help advance biomolecular and medical research; unintuitive tools may bar important breakthroughs. This protocol describes two use cases for the CellMap (http://cellmap.protein.properties) web tool. The tool allows researchers to visualize human protein-protein interaction data constrained by protein subcellular localizations. In the simplest form, proteins are visualized on cell images that also show protein-protein interactions (PPIs) through lines (edges) connecting the proteins across the compartments. At a glance, this simultaneously highlights spatial constraints that prot…
La représentation des causes de l'état de santé par les infirmiers et les points de vue envisagés des patients et des aidants naturels : une approche…
2008
This study examines the representation of the determining factors of patients' states of health in therapeutic care situations. We describe the average representation of experienced hospital nurses (n=44) and the differences which they consider to exist between their own and their patients' points of view. Taking as our starting point the purpose of the care provided and the asymmetry of the carer/patient relationship, we hypothesize, on the one hand, that nurses will have a representation of their patients' state of health which is based on the care to be provided, with the factors determining the state of health being necessarily perceived as having a general impact on patients' lives whi…
Is Small Still Beautiful for the Strengths and Difficulties Questionnaire? Novel Findings Using Exploratory Structural Equation Modeling.
2020
Article first published online: June 17, 2018 During the present decade a large body of research has employed confirmatory factor analysis (CFA) to evaluate the factor structure of the Strengths and Difficulties Questionnaire (SDQ) across multiple languages and cultures. However, because CFA can produce strongly biased estimations when the population cross-loadings differ meaningfully from zero, it may not be the most appropriate framework to model the SDQ responses. With this in mind, the current study sought to assess the factorial structure of the SDQ using the more flexible exploratory structural equation modeling approach. Using a large-scale Spanish sample composed of 67,253 youths ag…
What Dimension of Meaning in Life is the Stronger Predictor of Borderline Personality Disorder Symptom?
2019
Researchers seem to view meaning in life as consisting of different dimensions: coherence, purpose, and significance. Meaning in life has been found to be a protective factor against several mental...
Assessing Procrastination
2019
Abstract. The short form of the General Procrastination Scale (GPS-K; Klingsieck & Fries, 2012 ; Lay, 1986 ) is a reliable self-report scale measuring general procrastination. The presumed one-dimensional factor structure of the scale, however, has never been examined. Thus, the purposes of this representative study were to examine its dimensionality and factorial invariance across age and sex, and to provide norm values of the German general population. The GPS-K was administered to a representative community sample ( N = 2,527; age range 14–95 years). A confirmatory factor analysis (CFA) was conducted. To explore convergent validity, standardized scales of distress and life satisfact…
Multi-Dimensional Acquisition, Representation, and Interaction of Cultural Heritage Tangible Assets
2018
The acquisition, digital representation and interaction of cultural heritage (CH) assets is of high interest for an accurate documentation of our cultural legacy. Detailed studies demand more information on the assets apart from the mere visual appearance or even shape of objects. In this regards, some research works can be found that combine shape with other kind of data, such as radiometric (e.g., IR, thermal radiation, etc.) or semantic information, leading to multi-Dimensional (mD) virtual objects. In this chapter, we review the state of the art of different techniques to deal with mD acquisition of CH tangible assets. We also discuss some representation (e.g., visual, sonic, etc.) and …