Latino Definitions of Success: A Cultural Model of Intercultural Competence

The present study sought to examine Latino intercultural competence via two separate methodologies. Phase 1 entailed discovering and generating themes regarding the features of intercultural competence based on semistructured interviews of 15 Latino adults. Phase 2 included conducting a cultural consensus analysis from the quantitative responses of 46 Latino adults to determine the cultural model of intercultural competence. The major results indicated that the participants, despite variations in socioeconomic and generational statuses, shared a common knowledge base regarding the competencies needed for Latinos to successfully navigate different cultures. Overall, the cultural model of Latino intercultural competence includes a set of skills that integrates traditional cultural values along with attributes of self-efficacy. The findings are discussed within a competence-based conceptualization of cultural adaptation and potential advancements in acculturation research

Measurement and effects of teaching quality : an empirical model applied to masters programs

This study applies service quality and customer satisfaction theory to the field of education, and particularly to postgraduate studies. It examines the impact of multiple indicators of teaching quality on student satisfaction. For this purpose, a model is proposed and verified in which the teaching quality indicators are antecedents of the student's satisfaction with the professor and the program. An innovative aspect of the study is the introduction into education of the concept of customer loyalty as a result of satisfaction. In its analysis of these aspects, the study draws on data from a survey conducted among students of two business administration programs. A total of 2,446 valid questionnaires were obtained. In the proposed model, the latent variable, student satisfaction, is considered to be a consequence of the combined effect of satisfaction with certain aspects of teaching quality and the cause of the variation in the indicators on the satisfaction measurement scale. The model was tested by using the MIMIC [Multiple Indicators and Multiple Causes] structural equation technique

Chemical Oscillations out of Chemical Noise

The dynamics of one species chemical kinetics is studied. Chemical reactions are modelled by means of continuous time Markov processes whose probability distribution obeys a suitable master equation. A large deviation theory is formally introduced, which allows developing a Hamiltonian dynamical system able to describe the system dynamics. Using this technique we are able to show that the intrinsic fluctuations, originated in the discrete character of the reagents, may sustain oscillations and chaotic trajectories which are impossible when these fluctuations are disregarded. An important point is that oscillations and chaos appear in systems whose mean-field dynamics has too low a dimensionality for showing such a behavior. In this sense these phenomena are purely induced by noise, which does not limit itself to shifting a bifurcation threshold. On the other hand, they are large deviations of a short transient nature which typically only appear after long waiting times. We also discuss the implications of our results in understanding extinction events in population dynamics models expressed by means of stoichiometric relations

The Transition to College Process in PR-CETP Scholars

This article describes a study about the experiences of a group of students during the transition from high school to college. The students are future teachers who evidenced a high level of academic achievement in high school and received merit scholarships from the Puerto Rico Collaborative for Excellence in Teacher Preparation (PR-CETP). Two groups of students were compared: those who sustained a high GPA during their freshman year, and those who did not and, therefore, no longer qualified for the scholarship. The study was carried out through focused interviews with eight students, from three universities, four of whom maintained the scholarship and four who did not. Findings indicate that the main problems encountered were academic and social, and that the students received support from their families during the entire process. Regarding formal support, they pointed out that they felt highly satisfied with the services provided by PR-CETP and the universities, but they also pointed out (particularly those who lost the scholarship) that they needed additional services from the universities. They suggested, for example, better tutoring, and social activities among the scholars. The interviewed students, in general, consider that they faced the transition successfully since most of them described their academic, emotional, and social status as satisfactory at the time of the interviews

A ~5 M_earth Super-Earth Orbiting GJ 436?: The Power of Near-Grazing Transits

Most of the presently identified exoplanets have masses similar to that of Jupiter and therefore are assumed to be gaseous objects. With the ever-increasing interest in discovering lower-mass planets, several of the so-called super-Earths (1 M_earth<M<10 M_earth), which are predicted to be rocky, have already been found. Here we report the possible discovery of a planet around the M-type star GJ 436 with a minimum mass of 4.7+/-0.6 M_earth and a true mass of ~5 M_earth, which would make it the least massive planet around a main-sequence star found to date. The planet is identified from its perturbations on an inner Neptune-mass transiting planet (GJ 436b), by pumping eccentricity and producing variations in the orbital inclination. Analysis of published radial velocity measurements indeed reveals a significant signal corresponding to an orbital period that is very close to the 2:1 mean motion resonance with the inner planet. The near-grazing nature of the transit makes it extremely sensitive to small changes in the inclination.Comment: 5 pages, 3 figures, accepted for publication in The Astrophysical Journal Letter

Direct research supply chain, in house or outsourcing? In the context of the manufacturing industry

Thefollowing research paper address thequestion regarding whether a manufacturing company should manage his supply chain by themselves or if they should outsource it to anexternal supplier. Nowadays, outsourcing auxiliary activities like supply chain iscommonly highlighted asa strategic decisionfor manufacturing firms.This studyaddresses the issue of outsourcing or not from a theoretical and practical approach. Theoretical in the sense that literature is reviewed regarding the evolution of supply chain and the analysis of outsourcing by enumeratingreasons both positive and negative. And practical because the researchtries to reflect by a qualitative methodology the factorsthat may lead to a successful decision of outsourcing, this factors are ultimately tested in a multi criteria decision model to solve the question. A list of factors wasidentified and studied to came up with the mentioned model that affect the outsourcingdecision

Detecting New Word Meanings: A Comparison of Word Embedding Models in Spanish

Semantic neologisms (SN) are defined as words that acquire a new word meaning while maintaining their form. Given the nature of this kind of neologisms, the task of identifying these new word meanings is currently performed manually by specialists at observatories of neology. To detect SN in a semi-automatic way, we developed a system that implements a combination of the following strategies: topic modeling, keyword extraction, and word sense disambiguation. The role of topic modeling is to detect the themes that are treated in the input text. Themes within a text give clues about the particular meaning of the words that are used, for example: viral has one meaning in the context of computer science (CS) and another when talking about health. To extract keywords, we used TextRank with POS tag filtering. With this method, we can obtain relevant words that are already part of the Spanish lexicon. We use a deep learning model to determine if a given keyword could have a new meaning. Embeddings that are different from all the known meanings (or topics) indicate that a word might be a valid SN candidate. In this study, we examine the following word embedding models: Word2Vec, Sense2Vec, and FastText. The models were trained with equivalent parameters using Wikipedia in Spanish as corpora. Then we used a list of words and their concordances (obtained from our database of neologisms) to show the different embeddings that each model yields. Finally, we present a comparison of these outcomes with the concordances of each word to show how we can determine if a word could be a valid candidate for SN.Comment: 16 pages, 3 figure