Buscador de Tesis y publicaciones académicas

SpriteOptics

Gomez Vargas, Carlos Antonio

SpriteOptics v1.0 is a scientific software developed in Python for the post-processing of numerical simulations of atmospheric sprite streamer electrical discharges. The program processes VTK files containing electric field and electron density information and estimates synthetic optical signals corresponding to N₂ emi...

Volumetric reference data of the orbit: a deep learning MRI analysis in the German national cohort

Navid Farassat · Marco Reisert · Susanne Rospleszcz · J. E. Rod · y 12 más

Abstract Manual segmentation of orbital magnetic resonance imaging (MRI) is labor-intensive, hindering large-scale morphometric studies. To overcome this, we developed a fully automated deep learning pipeline to segment orbital MRIs and establish age- and sex-stratified normative reference data. We analyzed T1-weighted...

Technological and sociodemographic factors associated with student satisfaction in virtual university courses

Huancas-Segura, Abner Farrell · Pérez Saenz, RICARDO · González Díaz, Jaime Eduardo · Quiroga Villa, Monica E. · y 2 más

An Alternative Approach to 1 − γ and Riemann ζ Function

ANGARITA JIMENEZ, PAUL ALEXANDER

Although the relationship ( $\sum_{k=2}^\infty \frac{\zeta(k) - 1}{k} = 1 - \gamma$ ) between the harmonic series, the logarithmic function, and the Riemann Zeta function is known, explicit elementary derivations are scarce in the literature. A novel derivation of this relationship (usually found in analytic number the...

Investigar y Educar para la Sostenibilidad. Principios Pedagógicos. Volumen IX. Tomo 1. Año 2026

Escobar, Faviola · Useche Cogollo, Lucy Thamara

Exordio En estos momentos la humanidad se encuentra interpelada por una crisis que trasciende lo ambiental para situarse en el plano social, cultural, económico, educativo y ético. El detrimento de los ecosistemas, las divergencias crecientes y, de manera relevante, la debilidad de los vínculos humanos, los cuales nos...

Replication package for: Financial Repression as Silent Default — Monetary Autonomy, Fear of Floating, and the Advanced-Economy Repression Wave (2015–2024)

Restrepo-Morales, Jorge Aníbal

Replication data and code for the paper "Financial Repression as Silent Default: Monetary Autonomy, Fear of Floating, and the Advanced-Economy Repression Wave (2015–2024)". The package contains a monthly panel of 16 countries (8 advanced, 8 emerging), January 2015 – December 2024, with 10-year sovereign yields, CPI inf...

Can Organic Amendments Override Environmental Filtering of Soil Microbiomes? Evidence From 20 Years Old Agricultural Field Trials in Contrasting Tropical Sites

Anna M. Visscher · Samuel Mathu Ndungu · Rafaela Feola Conz · Moritz Laub · y 9 más

ABSTRACT Soil microbial communities underpin ecosystem functions critical for sustainable agriculture, yet our understanding of how long‐term management of tropical agroecosystems shapes these communities remains limited. This is particularly the case in sub‐Saharan Africa where soil health challenges are most acute fo...

Traumatic Brain Injury in Austere Environments: a Review of Recent Advances

Laura M. Loaiza-Cardona · Diego Felipe Batz Casia · Andres M. Rubiano

Traumatic brain injury (TBI) is still a leading cause of death and disability worldwide, with a disproportionate burden in low- and middle-income countries (LMICs) where access to imaging, invasive intracranial pressure (ICP) monitoring, and neurosurgical care is limited. This review examines recent advances in TBI man...

A Resource-Efficient Hybrid Deep Learning Framework with External Validation for Intracranial Hemorrhage Detection in CT Scans

José Rafael Peña Gutiérrez · César Julio Bustacara Medina

Background: Intracranial hemorrhage (ICH) is a time-critical neurological emergency in which delayed diagnosis significantly worsens patient outcomes. This challenge is amplified in resource-limited, high-workload settings where rapid neuroimaging interpretation may be constrained. Many high-performing deep learning ap...

Materiales Reproducibles para Regresión Totalmente Funcional en Activos Financieros

Pava Parra, Gustavo Andres

Materiales computacionales asociados a la tesis “Modelo de Regresión Totalmente Funcional en Activos Financieros”, desarrollada en la Maestría en Ciencias – Matemática Aplicada de la Universidad Nacional de Colombia. El repositorio contiene los datos fuente utilizados en el estudio, los scripts en R para el preprocesam...