Search results for " learning"
showing 10 items of 5299 documents
Testing <em>Drosophila</em> Olfaction with a Y-maze Assay
2014
Detecting signals from the environment is essential for animals to ensure their survival. To this aim, they use environmental cues such as vision, mechanoreception, hearing, and chemoperception through taste, via direct contact or through olfaction, which represents the response to a volatile molecule acting at longer range. Volatile chemical molecules are very important signals for most animals in the detection of danger, a source of food, or to communicate between individuals. Drosophila melanogaster is one of the most common biological models for scientists to explore the cellular and molecular basis of olfaction. In order to highlight olfactory abilities of this small insect, we describ…
Using Chinese in China - challenges and opportunities : a case study of three Finnish sojourners
2016
Despite the growing attention on interaction between language learners/sojourners and host community, there has been little research on second language (L2) using experience by adopting case study approach, by which each individual’s voice is valued. Grounded in sociocultural theory (SCT), the present study explores challenges and opportunities of international sojourners when they use Chinese in China by investigating three Finnish sojourners’ experiences in using Chinese. Coleman’s concentric circles model is adopted to illustrate sojourners’ different language choices and reasons with compatriots, international people and host community. Narratives and interview data are analyzed and dis…
Project-based learning in the Chinese heritage language course/class in Finnish comprehensive education
2023
With the trend of global mobility and immigration, the Finnish government has been promoting integration and multiculturality since 1990. According to the Finnish National Agency for Education (FNAE), Heritage Language (oma äidinkieli) lessons aim to protect and develop immigrant students’ competencies in their heritage languages and cultures. This article shares a pilot 4-week PBL (Project-based Learning) module for a group of advanced Chinese language learners. It discusses the opportunities and challenges during the PBL and suggests possible improvements. nonPeerReviewed
Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion
2020
Miniaturized hyperspectral imaging techniques have developed rapidly in recent years and have become widely available for different applications. Combining calibrated hyperspectral imagery with inverse physically based reflectance models is an interesting approach for estimating chlorophyll concentrations that are good indicators of vegetation health. The objective of this study was to develop a novel approach for retrieving chlorophyll a and b values from remotely sensed data by inverting the stochastic model of leaf optical properties using a one-dimensional convolutional neural network. The inversion results and retrieved values are validated in two ways: A classical machine learning val…
A computer program suitable for analysis of choice of categories in biomedical data recognition problems.
1980
The optimum choice of categories in problems of medical data recognition is governed by the choice of categories, the selection of appropriate features, and by the choice of a loss function. Under these circumstances it is often difficult to find out the suitable classification scheme. The computer program described here serves for the design of the optimum recognition procedure. The Bayes rule is used as decision rule. A criterion for the comparison of different choice of categories is given. The program can be performed after estimation of the underlying prior probabilities and the conditional densities obtained from a training set, and before testing the decision rule with real data.
An Optimized Design of Choice Experiments: A New Approach for Studying Decision Behavior in Choice Task Experiments
2014
In this paper, we present a new approach for the optimal experimental design problem of generating diagnostic choice tasks, where the respondent's decision strategy can be unambiguously deduced from the observed choice. In this new approach, we applied a genetic algorithm that creates a one-to-one correspondence between a set of predefined decision strategies and the alternatives of the choice task; it also manipulates the characteristics of the choice tasks. In addition, this new approach takes into account the measurement errors that can occur when the preferences of the decision makers are being measured. The proposed genetic algorithm is capable of generating diagnostic choice tasks eve…
Chronic exposure to glucocorticoids induces suboptimal decision-making in mice.
2021
AbstractAnxio-depressive symptoms as well as severe cognitive dysfunction including aberrant decision-making (DM) are documented in neuropsychiatric patients with hypercortisolaemia. Yet, the influence of the hypothalamo-pituitary-adrenal (HPA) axis on DM processes remains poorly understood. As a tractable mean to approach this human condition, adult male C57BL/6JRj mice were chronically treated with corticosterone (CORT) prior to behavioural, physiological and neurobiological evaluation. The behavioural data indicate that chronic CORT delays the acquisition of contingencies required to orient responding towards optimal DM performance in a mouse Gambling Task (mGT). Specifically, CORT-treat…
“Team Based Learning” in Political Science studies
2019
En los estudios de Ciencia Política ha predominado tradicionalmente la metodología basada en la clase magistral y el trabajo individual. Sin embargo, la implantación del sistema de Bolonia implica un trabajo más autónomo de los estudiantes y el desarrollo de nuevas habilidades como el trabajo en grupo. Desde esta perspectiva, se ha aplicado una nueva metodología denominada Aprendizaje Basado en Grupos (TBL de sus siglas en inglés) a un grupo de 100 alumnos de Ciencia Política y se la ha comparado con otros tres métodos también utilizados por los mismos estudiantes en otras asignaturas del grado (práctica semanal, trabajo semestral y Aprendizaje Basado en Problemas). El objetivo del trabajo …
Nota de Presentación
2013
El primer número del Journal de Ciencias Sociales, revista académica de ciencias sociales de la Universidad de Palermo, presenta una colección de artículos escritos por autores que provienen de diferentes geografías y reflexionan sobre diversos temas: los tipos de investigaciones que se producen en ciencias sociales, las “buenas sociedades”, la diáspora de grupos étnicos y religiosos, las políticas de juventud, la recuperación histórica de la cultura, las vivencias de la espacialidad y la tenencia del suelo.
Evaluadores de este número
2013
Alicia Naveda Universidad Nacional de San Juan, Argentina Rocio Canudas Universidad Nacional Autonoma de Mexico e INDES-BID Diego Ceruso Universidad de Buenos Aires, Argentina Maria Eugenia Comerci Universidad Nacional de La Pampa-CONICET, Argentina Francisco Lavolpe Universidad Nacional de Lomas de Zamora, Argentina Patricia Lucero Universidad Nacional de Mar del Plata, Argentina Luciano Visentini Universidad degli studi di Firenze, Italia