Search results for "Learning"
showing 10 items of 6669 documents
Introducción a la Sección Aportes de Estudiantes
2018
Cesare Pavese, Trabajar cansa. Vendrá la muerte y tendrá tus ojos (2018), Traducción de Jorge Aulicino. Buenos Aires: Griselda García Editora. ISBN 9…
2018
Vivimos en una sociedad de signos. Una suerte de “inflacion del significante” atraviesa nuestra cultura. En ese contexto, es bueno recordar que alguna vez la humanidad vivio en una sociedad de simbolos, en donde la palabra se vuelve tension entre lo cosmico y lo onirico, entre los hombres y lo sagrado, entre la historia y el mito. Es la poesia la manifestacion mas acabada de esta sociedad de simbolos que, pese a todo, subsiste en los subsuelos de aquella otra aparentemente dominante, con una vida casi silenciosa pero vital y explicita. No por nada, la filosofia y la poesia, al decir de ese gran poeta y pensador que fue Giacomo Leopardi, son las disciplinas mas afines entre si. Por tanto, no…
Los desafíos del futuro: crecimiento poblacional y desarrollo
2018
Sobre una población actual de 7.300 millones de personas, las previsiones estiman un incremento de alrededor de 4.000 millones más hacia 2100, que será desigual y se localizará mayormente en África. Dicho panorama poblacional no necesariamente se refleja en la proyección económica y relevancia a nivel internacional de los países dado que, por ejemplo, los países BRIC, al tiempo que son economías que se proyectan como de alto perfil en este siglo, están entre los países más poblados, mientras que, por otro lado, Canadá es un actor económico de importancia y sin embargo no posee una población de gran volumen. En ese marco, considerando el planteo de una “era urbana”, de la denominada “tercera…
ESTIMATION OF OCEANIC PARTICULATE ORGANIC CARBON WITH MACHINE LEARNING
2020
Understanding and quantifying ocean carbon sinks of the planet is of paramount relevance in the current scenario of global change. Particulate organic carbon (POC) is a key biogeochemical parameter that helps us characterize export processes of the ocean. Ocean color observations enable the estimation of bio-optical proxies of POC (i.e. particulate backscattering coefficient, bbp) in the surface layer of the ocean quasi-synoptically. In parallel, the Argo program distributes vertical profiles of the physical properties with a global coverage and a high spatio-temporal resolution. Merging satellite ocean color and Argo data using a neural networkbased method has already shown strong potentia…
Minimal learning machine in anomaly detection from hyperspectral images
2020
Abstract. Anomaly detection from hyperspectral data needs computationally efficient methods to process the data when the data gathering platform is a drone or a cube satellite. In this study, we introduce a minimal learning machine for hyperspectral anomaly detection. Minimal learning machine is a novel distance-based classification algorithm, which is now modified to detect anomalies. Besides being computationally efficient, minimal learning machine is also easy to implement. Based on the results, we show that minimal learning machine is efficient in detecting global anomalies from the hyperspectral data with low false alarm rate.
Effects of Service Learning on Physical Education Teacher Education Students’ Subjective Happiness, Prosocial Behavior, and Professional Learning
2020
Purpose: This study aims to analyze the effects of a service learning (SL) program on the subjective happiness (SH), prosocial behavior (PB), and professional learning (PL) perceptions of Physical Education Teacher Education (PETE) students as well as to examine the correlations among these variables. Methods: The study used a quasi-experimental design of two non-equivalent groups (control and experimental) comparing pre-test and post-test data. The instruments used were the Subjective Happiness Scale, the Prosocial and Civic Competence questionnaire, and the Impact of Service Learning during Initial Training of Physical Activity and Sports questionnaire. Results: Data indicated that SL onl…
Audience involvement in creative media for development: Making sense of the semiotic interface
2017
This article explores the role that semiotic communication plays in the generation of narrative affect. It also draws on Suruchi Sood’s concept of audience involvement as being capable of increasing self-efficacy and collective-efficacy, both of which are crucial to behaviour change. It therefore, demonstrates how semiotic tropes are used in creative media narratives to elicit affect and in turn generate authentic audience involvement with the subjects of those narratives, a process which eventually has positive consequences for behaviour change communication. Hence, these narratives fueled by semiotics, become the threshing floor where potential audiences are drawn into pro-social discours…
Looking for determinants of willingness-to-pay for Sibelius Hall, Lahti
2017
The aim of this paper is to determine the factors affecting the willingness-to-pay for a local concert hall, namely Sibelius Hall in Lahti. Our study argues that a high income, the use of cultural services and a positive attitude towards culture were connected to a high willingness-to-pay for Sibelius Hall. Our study revealed that “I do not know” answers can be partly explained by the character of cultural preferences being an acquired taste. As a consequence, the users and respondents exhibiting a positive attitude towards culture may choose the “I do not know” option instead of making a zero bid. peerReviewed
The Unexpected profile of agricultural innovators: evidence from an empirical study
2020
[EN] Innovation capacity is essential for farmers to remain competitive and overcome the challenges facing Mediterranean agricultural systems. Based on an extensive empirical study, this paper elucidates the common attributes of innovative farmers in the Region of Valencia (Spain). The model presented in this study investigates whether an innovative attitude can be explained by market-entrepreneurial orientation, learning orientation, individual profile traits and farm size. The findings provide insights into how age and experience affect innovation in agricultural smallholdings. The study shows that the most innovative farmers run large farms and have a strong market-entrepreneurial orient…
Prediction of Specific TCR-Peptide Binding From Large Dictionaries of TCR-Peptide Pairs
2019
Abstract The T cell repertoire is composed of T cell receptors (TCR) selected by their cognate MHC-peptides and naive TCR that do not bind known peptides. While the task of distinguishing a peptide-binding TCR from a naive TCR unlikely to bind any peptide can be performed using sequence motifs, distinguishing between TCRs binding different peptides requires more advanced methods. Such a prediction is the key for using TCR repertoires as disease-specific biomarkers. We here used large scale TCR-peptide dictionaries with state-of-the-art natural language processing (NLP) methods to produce ERGO (pEptide tcR matchinG predictiOn), a highly specific classifier to predict which TCR binds to which…