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Digital image processing for atmospheric monitoring at Colombian Andes
(Taylor and Francis Group, 2023)
Como alternativa a las tecnologías actuales, exploramos la viabilidad de utilizar cámaras digitales de bajo costo y uso masivo como sensores fotométricos para recuperar la profundidad óptica total (τ) atmosférica en el ...
Variables que Afectan el Aprendizaje del Inglés: Modelo con Ecuaciones Estructurales
(Universidad Autónoma de Madrid, 2022)
Existen variables que inciden en el aprendizaje de una lengua extranjera y mucho más, al
alcanzar el desarrollo de la competencia comunicativa. En esta investigación se propuso
determinar si las Estrategias de Comunicación ...
Estrategias comunicativas para enfrentar las dificultades al hablar en inglés en una universidad pública de Colombia
(Pontificia Universidad Javeriana, 2020)
Las estrategias comunicativas pueden ser utilizadas para enfrentar los problemas que surgen durante la interacción oral en el aula. El
estudio plantea dos objetivos: identicar las estrategias más empleadas por estudiantes ...
English Language Assessment: Pre-service Teachers’ Self-Reported Views
(Eskişehir Osmangazi University, 2023)
Both assessment and the teacher’s role as one of the main assessors of student
learning are central components of the English teaching and learning process. This
quantitative, non-experimental, and cross-sectional study ...
Analyzing sources to sedimentary organic carbon in the Gulf of Urabá, southern Caribbean, using carbon stable isotopes
(Universidad de Carolina del Sur, 2017)
Carbon stable isotopes analysis serve reconstruction of the origin of organic matter (OM) deposited onto sediments. They also allow tracing vegetation change at different time scales. This study weighs the contribution of ...
Spectrum of classes of point emitters: new tool for nonparaxial optical field modeling
(Optica Publishing Group, 2016)
Numerical modeling of optical fields provides valuable support to both theoretical research and technological development in many optics fields. Fourier methods have been the most widely used tools of numerical modeling. ...
Predicting haplogroups using a versatile machine learning program (PredYMaLe) on a new mutationally balanced 32 Y-STR multiplex (CombYplex): Unlocking the full potential of the human STR mutation rate spectrum to estimate forensic parameters
(Elsevier BV, 2020)
We developed a new mutationally well-balanced 32 Y-STR multiplex (CombYplex) together with a machine learning (ML) program PredYMaLe to assess the impact of STR mutability on haplogourp prediction, while respecting forensic ...
Evaluation of variants in IL6R, TLR3, and DC-SIGN genes associated with dengue in a sampled Colombian population
(Instituto Nacional de Salud, 2019)
Introduction: Host genetics is recognized as an influential factor for the development of
dengue disease.
Objective: This study evaluated the association of dengue with the polymorphisms
rs8192284 for gene IL6R, rs3775290 ...
Single-Nucleotide Polymorphisms in NOD1, RIPK2, MICB, PLCE1, TNF, and IKBKE Genes Associated with Symptomatic Dengue in Children from Colombia
(Mary Ann Liebert, 2018)
Functional immunological evidence supports the impact that the host genetic variability has on the susceptibility to develop asymptomatic or symptomatic dengue infection. Children are more prone to develop severe dengue. ...
The impact of E-learning and ICT on English language learning: COVID-19 context
(Association for Learning Technology, 2023)
Background: E-learning and ICT have developed an innovative way of teaching English. To make sure the learning of this foreign language is effective, educational establishments and universities adjusted their infrastructure ...