Search results for "Pattern"
showing 10 items of 4203 documents
Distributed Leadership and the Visibility/Invisibility Paradox in On-line Communities
2011
This paper analyzes the role of distributed leadership in three on-line communities, reflecting on an observed visibility/invisibility paradox in leadership within these communities. Leaders who downplay their seniority and assume a degree of invisibility, allocating discretionary powers to subordinate levels in an organizational hierarchy, may facilitate the emergence of distributed leadership. Yet, simultaneously, leader-led relations are enabled by high leadership visibility. This paradox—that leaders need to be both highly visible and also invisible, or hands-off, when the occasion requires it—was derived from prior research into e-learning communities and tested in the analysis of disc…
Prior test experience produces changes of t-patterns spatial distribution in the elevated plus maze test
2014
Aim of present research was to investigate in male Wistar rats whether a prior elevated plus maze experience modifies the temporal structure of the behavioral response following a retest applied after 24h. Video files were coded by means of a software coder and event log files generated for each subject were analyzed by means of a specific software for temporal pattern analysis (Theme). Present research shows a clear reduction of the number of t-patterns from trial one to trial two. This reduction is provoked by the disappearance of t-patterns consisting of behavioral elements occurring in the unprotected zones of the maze. The results suggest that the previous experience in the maze causes…
On the typology of motion events in Aymara
2021
This paper investigates the lexicalization pattern of motion events in Aymara, an Andean language spoken in Bolivia, Peru, and Chile. After providing a description of the morphosyntax of translational motion events, this study aims at a preliminary typological classification of Aymara within the framework of Talmy’s typology (Talmy 2000). With this purpose, three diagnostic tests have been used to determine the basic framing-typology of motion events. These tests consider i) the size of manner-of-motion lexicon and, more broadly, the degree of manner salience, ii) the complex-path constructions and the use of ‘plus-ground’ clauses, iii) the expression of boundary-crossing. The results of th…
Healthy Aging and Dietary Patterns
2021
A number of factors contribute to the complex process of aging, which finally define whether someone will or not develop age-associated chronic diseases in late life. These determinants comprise genetic susceptibility as well as various behavioral, environmental, and dietary factors, all of which have been shown to influence specific pathways regulating the aging process and the extension of life, which makes longevity a multidimensional phenomenon. Although a “miraculous elixir” or a “nutrition pill” are not plausible, researchers agree on the notion that nutritional factors have major impact on the risk of age-associated chronic non-communicable diseases and mortality. In recent years nut…
Délimitation d'ensembles morphologiques par une approche multi-échelle
2008
The paper deals with the identification of the envelope of built-up patterns that we define as the limit of a morphologically coherent set through the scales. The point of view is purely morphological; it refers to a multi-scale approach. Besides the description of the context of the research (that is the urban-rural delimitation) the paper is dedicated to the presentation of the methodological principles which allow the identification of the envelope of built-up patterns. The first step of the methodology, that is the step by step dilation of a studied built-up pattern, is briefly described. The emphasis is placed on the second step of the methodology that is the identification of a thresh…
Possible Contribution of T-pattern Detection and Analysis to the Study of the Behavioral Correlates of Afferent Inhibition.
2020
A pivotal tenet in modern behavioral sciences is that the study of behavior, in its most intimate structure, necessarily deals with time and, for this reason, behavioral dynamics are not intuitively perceivable and/or detectable (Eibl-Eibesfeldt, 1970). In reality, the possibility to describe a given behavior in terms of its structural/temporal features makes available new and detailed information otherwise unavailable. The aim of the present paper is to discuss the possible application of T-pattern detection and analysis, i.e., a multivariate approach specifically developed to describe the temporal structure of behavior, to the study of an important and still scantly investigated issue, na…
Combining Sequence Analysis and Hidden Markov Models in the Analysis of Complex Life Sequence Data
2018
Life course data often consists of multiple parallel sequences, one for each life domain of interest. Multichannel sequence analysis has been used for computing pairwise dissimilarities and finding clusters in this type of multichannel (or multidimensional) sequence data. Describing and visualizing such data is, however, often challenging. We propose an approach for compressing, interpreting, and visualizing the information within multichannel sequences by finding (1) groups of similar trajectories and (2) similar phases within trajectories belonging to the same group. For these tasks we combine multichannel sequence analysis and hidden Markov modelling. We illustrate this approach with an …
Multitask deep learning for native language identification
2020
Identifying the native language of a person by their text written in English (L1 identification) plays an important role in such tasks as authorship profiling and identification. With the current proliferation of misinformation in social media, these methods are especially topical. Most studies in this field have focused on the development of supervised classification algorithms, that are trained on a single L1 dataset. Although multiple labeled datasets are available for L1 identification, they contain texts authored by speakers of different languages and do not completely overlap. Current approaches achieve high accuracy on available datasets, but this is attained by training an individua…
Efficient contour-based annotation by iterative deep learning for organ segmentation from volumetric medical images
2022
Abstract Purpose Training deep neural networks usually require a large number of human-annotated data. For organ segmentation from volumetric medical images, human annotation is tedious and inefficient. To save human labour and to accelerate the training process, the strategy of annotation by iterative deep learning recently becomes popular in the research community. However, due to the lack of domain knowledge or efficient human-interaction tools, the current AID methods still suffer from long training time and high annotation burden. Methods We develop a contour-based annotation by iterative deep learning (AID) algorithm which uses boundary representation instead of voxel labels to incorp…
Species and genetic diversity relationships in benthic macroinvertebrate communities along a salinity gradient
2022
Background Species- and genetic diversity can change in parallel, resulting in a species-genetic diversity correlation (SGDC) and raising the question if the same drivers influence both biological levels of diversity. The SGDC can be either positive or negative, depending on whether the species diversity and the genetic diversity of the measured species respond in the same or opposite way to drivers. Using a traditional species diversity approach together with ultra-conserved elements and high throughput sequencing, we evaluated the SGDCs in benthic macrofauna communities in the Baltic Sea, a geologically young brackish water sea characterised by its steep salinity gradient and low species …