Search results for "Computer"
showing 10 items of 30657 documents
Comparative Analyses between the Zero-Inertia and Fully Dynamic Models of the Shallow Water Equations for Unsteady Overland Flow Propagation
2018
The shallow water equations are a mathematical tool widely applied for the simulation of flow routing in rivers and floodplains, as well as for flood inundation mapping. The interest of many researchers has been focused on the study of simplified forms of the original set of equations. One of the most commonly applied simplifications consists of neglecting the inertial terms. The effects of such a choice on the outputs of the simulations of flooding events are controversial and are an important topic of debate. In the present paper, two numerical models recently proposed for the solution of the complete and zero-inertia forms of the shallow water equations, are applied to several unsteady f…
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…
Quantitative Prediction of the Landscape of T Cell Epitope Immunogenicity in Sequence Space
2019
Immunodominant T cell epitopes preferentially targeted in multiple individuals are the critical element of successful vaccines and targeted immunotherapies. However, the underlying principles of this "convergence" of adaptive immunity among different individuals remain poorly understood. To quantitatively describe epitope immunogenicity, here we propose a supervised machine learning framework generating probabilistic estimates of immunogenicity, termed "immunogenicity scores," based on the numerical features computed through sequence-based simulation approximating the molecular scanning process of peptides presented onto major histocompatibility complex (MHC) by the human T cell receptor (T…
Evaluating Safety Systems for Machine Tools with Computer Numerical Control using Analytic Hierarchy Process
2019
Computer numerical control (CNC) machine tools are complex production systems with fully automatic machine parts. Nowadays, high feed rates and machining speeds are used during the machining process. Human operators are still needed to set-up the machine, load/unload workpieces and parts, load the machining code, and supervise the machining process. The operators work in an environment where automated high-speed motions occur, and consequently, CNC machine tools have to be equipped with safety systems. The approach presented in this paper was to evaluate the main safety systems of CNC machine tools based upon the analytic hierarchy process (AHP). The analyzed systems were divided into six m…
Incertidumbre ante las pedagogías emergentes
2017
La formación docente en línea: experiencias con MOOCs en Sonora (México)
2019
espanolEl proposito de este estudio fue conocer las perspectivas que un grupo de profesores del estado de Sonora (Mexico) tienen sobre la formacion en linea y sobre los cursos en linea masivos y abiertos (MOOCs, por sus siglas en ingles) “Coleccion de Aprendizajes Clave”. Estos MOOCs fueron disenados para dar a conocer a los profesores de educacion basica los planteamientos del nuevo modelo educativo derivado de la reforma de 2013. El enfoque aplicado en la investigacion fue el cualitativo; los datos se colectaron por medio de entrevistas semiestructuradas a seis profesoras de primaria. Las perspectivas de las profesoras en cuanto a la formacion en linea se concentraron en las categorias de…
Impacto de la implementación de un modelo ecoformativo a través de proyectos estratégicos : el caso de la Universidad Castro Carazo (Costa Rica)
2020
La Universidad Castro Carazo ha adoptado un modelo educativo de ecoformación desde el año 2016. Para esto, ha sido necesaria la incorporación de buenas prácticas y estrategias de innovación pedagógica y curricular, como parte integral de sus procesos educativos y administrativos. En este artículo se detallan las prácticas y estrategias más relevantes: el diseño e implementación de un programa de especialización en docencia universitaria, la inauguración de un laboratorio de aprendizaje para el fomento del aprendizaje mediante la fabricación digital, los multientornos, y los mapas conceptuales, así como el fortalecimiento de un equipo de innovación curricular. Estos procesos disruptivos han …
La innovación educativa en la evolución de las profesiones. El caso de las Ciencias Laborales. Reflexiones y avances
2020
Las profesiones están en continuo cambio y adaptación, y ello requiere de un permanente ajuste de las competencias que los/las profesionales precisan en cada momento. La Universidad actual debe asumir un papel activo que permita dicho ajuste. Es por tanto necesario que el estamento universitario tenga un amplio conocimiento de la realidad de la profesión, así como incorporar a sus dinámicas estas necesidades. En el presente texto proponemos una aproximación a la realidad de la profesión de Graduado Social –egresado/a actual en Ciencias Laborales -como contexto de estudio, planteando el papel que la Universidad debería asumir en la actualidad como uno de sus elementos constitutivos. La impor…
Preparation of speciality-integrated assignments in informatics study courses at the higher education level
2012
Information and communications technologies today are used in virtually any university course when students prepare their papers. ICT is also needed after people are graduated from university and enter the job market. This author is an instructor in the field of informatics related to health care and social sciences at the Riga Stradins University. In practice, he has found that after completing informatics courses (IC) at the university level, students and practicing specialists at various levels find it hard to decide on what data processing method to use in order to interpret extracted results in the relevant area of specialisation. There are various data processing methods in the litera…
Primetime learning: collaborative and technology-enhanced studying with genuine teacher presence.
2017
Background Productive learning processes and good learning outcomes can be attained by applying the basic elements of active learning. The basic elements include fostering discussions and disputations, facing alternative conceptions, and focusing on conceptual understanding. However, in the face of poor course retention and high dropout rates, even learning outcomes can become of secondary importance. To address these challenges, we developed a research-based instructional strategy, the primetime learning model. We devised the model by organizing the basic elements of active learning into a theory-based four-step study process. The model is based on collaborative and technology-enhanced lea…