9,232 research outputs found

    The United States and Indochina in the first Indochinese crisis

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    Factors Influencing Language-Learning Strategy Use of English Learners in an ESL Context

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    This study employed the Strategy Inventory for Language Learning (SILL), version 7.0 (ESL/EFL) developed by Oxford (1990) to examine differences in language-learning strategy use. It focused on how learner factors such as gender, age, nationality, and proficiency level influence the choice of language-learning strategies. The participants were 75 international students at Ohio University. The results showed that participants used social and metacognitive strategies at a high frequency level; meanwhile, affective and memory strategies were selected the least. Statistic significance was found in the choice of several strategies across the factors examined. Pedagogical implications were also discussed

    Geophysical investigation of the Pb-Zn deposit of Lontzen-Poppelsberg, Belgium

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    The drillhole information from the Lontzen-Poppelsberg site has demonstrated three orebodies and has allowed the estimation of the extension of the lodes, their dip, and the location at the ground surface. The localisation of the lodes makes them excellent targets for further exploration with geophysics. This deposit is classified as a Mississippi Valley Type (MVT) deposit. It consists mainly of Pb-Zn-Fe sulphides that display contrasting values in resistivity, chargeability, density, and magnetic susceptibility, with regards to the sedimentary host rocks. The dipole-dipole direct current (DC) resistivity and induce polarization (IP) profiles have been collected and inverted to successfully delineate the Pb-Zn mineralization and the geological structures. Short-spacing EM34 electromagnetic conductivity data were collected mainly on the top of Poppelsberg East lode and have revealed a conductive body matching with the geologically modelled mineralization. Gravity profiles have been carried out perpendicularly to the lode orientation; they show a strong structural anomaly. High resolution ground magnetic data were collected over the study area, but they showed no anomaly over the ore deposits. The geophysical inversion results are complementary to the model based on drill information, and allow us to refine the delineation of the mineralization. The identification of the geophysical signatures of this deposit permits targeting new possible mineralization in the area

    Localization in log-gamma polymers with boundaries

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    Consider the directed polymer in one space dimension in log-gamma environment with boundary conditions, introduced by Sepp{\"a}l{\"a}inen. In the equilibrium case, we prove that the end point of the polymer converges in law as the length increases, to a density proportional to the exponent of a zero-mean random walk. This holds without space normalization, and the mass concentrates in a neighborhood of the minimum of this random walk. We have analogous results out of equilibrium as well as for the middle point of the polymer with both ends fixed. The existence and the identification of the limit relies on the analysis of a random walk seen from its infimum.Comment: 33 pages, 3 figure

    Grey relational grades and neural networks : empirical evidence on vice funds

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    This research examines time-series predictability of Vice Funds Indices through the Grey Relational Analysis (GRA), and also applies three types of Artificial Neural Networks (ANN) model, namely, Back- propagation Perception Network (BPN), Recurrent Neural Network (RNN), and Radial Basis Function Neural Network (RBFNN) to capture nonlinear tendencies of Vice Funds indices. The study finds that among the three ANN models, BPN has the best predicting power. When the data is separated into 10%, 33% and 50% testing data sets to test the proficiency of the available forecasting information in the time- series of the predictors, the predictive power of the BPN model again dominated the findings 60% of the time. Traders, investors and fund manager can rely on BPN predicting power with large or even small data set. Nevertheless, the result also suggests the predicting power of both RNN and RBFNN model with smaller data sets. Overall, it is suggested that traders and fund managers have stronger chance of achieving more accurate forecasting using the BPN model in Vice Funds indices. Findings of this research have policy implications in the creation of forecasting and investing strategies by examining models that minimize errors in predicting Vice Funds indices.Cette recherche examine la prévisibilité des séries chronologiques des indices Vice Funds par le biais de l'analyse relationnelle grise (GRA), et applique également trois types de modèle de réseaux de neurones artificiels (ANN), à savoir le réseau de perception à propagation arrière (BPN), le réseau de neurones récurrents (RNN) ) et le Radial Basis Function Neural Network (RBFNN) pour capter les tendances non linéaires des indices Vice Funds. L'étude révèle que parmi les trois modèles ANN, BPN a le meilleur pouvoir de prédiction. Lorsque les données sont séparées en 10%, 33% et 50% de jeux de données pour tester la compétence des informations de prévision disponibles dans la série chronologique des prédicteurs, le pouvoir prédictif du modèle BPN de nouveau domine les résultats 60% du temps. Les traders, les investisseurs et le gestionnaire de fonds peuvent compter sur la puissance de prédiction de BPN avec des ensembles de données volumineux ou même petits. Néanmoins, le résultat suggère également la puissance de prédiction des modèles RNN et RBFNN avec des ensembles de données plus petits. Dans l'ensemble, il est suggéré que les traders et les gestionnaires de fonds ont plus de chances d'obtenir des prévisions plus précises en utilisant le modèle BPN dans les indices Vice Funds. Les résultats de cette recherche ont des implications politiques dans la création de stratégies de prévision et d'investissement en examinant des modèles qui minimisent les erreurs de prédiction des indices Vice Funds

    Interview of Francis Tri Nguyen, F.S.C., Ph.D.

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    Francis of Assisi Nguyen von Tri, was born in Shanghai, China in 1938. When the Communists took over China, his family left the country for Hanoi, North Vietnam. In 1954, when the French were defeated, they fled the Communists again, and settled in South Vietnam. He was raised a Catholic, and enrolled in the Christian Brothers order at a young age. While completing his formation for the Christian Brotherhood, Brother Francis began teaching students at various age levels. He entered into higher education, completed a Bachelors degree, and went on to pursue a Masters degree in Sociology after receiving a scholarship to attend the Asian Social Institute in Manila, Philippines. He taught at schools in Vietnam and Cambodia in the 1960s and 70s, during the height of the Vietnam War. In 1975, he was a member of the large group of refugees who fled South Vietnam when Saigon fell to the North Vietnamese. Brother Francis arrived in the United States in the summer of 1975. Once he arrived in the U.S., he sustained his role as a Christian Brother by joining the American community, and pursued degrees at several major universities. Brother Francis has conducted research on La Sallian identity around the world, the plight and successes of Vietnamese refugees, and the aging process. He has been a faculty member at La Salle University since 1985, and at the time of the interview served as head of the University’s Sociology Department. His office is located in 361 Olney Hall

    Interview of Francis Tri Nguyen, F.S.C., Ph.D. Part 2

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    Francis of Assisi Nguyen von Tri, was born in Shanghai, China in 1938. When the Communists took over China, his family left the country for Hanoi, North Vietnam. In 1954, when the French were defeated, they fled the Communists again, and settled in South Vietnam. He was raised a Catholic, and enrolled in the Christian Brothers order at a young age. While completing his formation for the Christian Brotherhood, Brother Francis began teaching students at various age levels. He entered into higher education, completed a Bachelors degree, and went on to pursue a Masters degree in Sociology after receiving a scholarship to attend the Asian Social Institute in Manila, Philippines. He taught at schools in Vietnam and Cambodia in the 1960s and 70s, during the height of the Vietnam War. In 1975, he was a member of the large group of refugees who fled South Vietnam when Saigon fell to the North Vietnamese. Brother Francis arrived in the United States in the summer of 1975. Once he arrived in the U.S., he sustained his role as a Christian Brother by joining the American community, and pursued degrees at several major universities. Brother Francis has conducted research on La Sallian identity around the world, the plight and successes of Vietnamese refugees, and the aging process. He has been a faculty member at La Salle University since 1985, and currently serves as head of the University’s Sociology Department. His office is located in 361 Olney Hall

    Interaction par le regard : Ă©valuation du retour d’information progressif

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    National audienceIn monomodal approaches, eye-tracking for gaze-based interaction suffers from a tight coupling between perception and action: making the distinction between user action and user perception of information is almost impossible. This paper proposes the concept of progressive feedback to release this coupling. First experiments confirm that gaze-based interaction can be credible in some contexts of use. Moreover, progressive feedback appears as possibly valuable.L’utilisation de l’oculomĂ©trie pour l’interaction par le regard se caractĂ©rise, dans le cas d’une approche monomodale, par un fort couplage entre perception et action : il n’est pas possible, dans le cas gĂ©nĂ©ral, de distinguer une prise d’information d’une action de l’utilisateur. C’est pourquoi nous proposons une nouvelle approche, basĂ©e sur un retour d’information progressif, permettant une rĂ©duction de ce couplage. Les premiers rĂ©sultats expĂ©rimentaux sont encourageants et indiquent que l’interaction par le regard peut ĂȘtre une technique d’interaction crĂ©dible dans certains contextes d’usage. Ils mettent aussi en lumiĂšre l’intĂ©rĂȘt du retour d’information progressif

    Challenges in the design of a RGB LED display for indoor applications

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    Abstract LED is the dominant technology used in full-color outdoor display panels. However, until recently, there has not been wide spread usage of this technology for similar indoor applications because of the availability of other competing technologies. This paper examines some of the design considerations and trade-off's facing the designer of indoor LED-based display signs.
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