Listar Artículos Científicos por título
Mostrando publicaciones 2225-2244 de 3873
-
M-learning adapted to the ARCS model of motivation and applied to a kinematics course
(2022)The purpose of this study was to evaluate the relationship between motivation and meaningful learning for university students through m-learning. The implementation of m-learning in the learning process followed the ARCS ...
-
M2 macrophages do not fly into a “RAGE”
Rojas, Armando
; ; (2017)
Tumor-associated macrophages (TAMs) are key elements in orchestrating host responses inside tumor stroma. This population may undergo a polarized activation process, thus rendering a heterogeneous spectrum of phenotypes, ...
-
Machine learning and matrix-assisted laser desorption/ionization time-of-flight mass spectra for antimicrobial resistance prediction: a systematic review of recent advancements and future development
; ; ; Cuadros-Orellana, Sara (2024)
Background: The use of matrix-assisted laser desorption/ionization time-of-flight mass spectra (MALDI-TOF MS) combined with machine learning techniques has recently emerged as a method to address the public health crisis ...
-
Machine learning approach for predicting corporate social responsibility perception in university students
(2023)Corporate Social Responsibility has become an important corporate principle. Perception about the use of this concept is regarded by corporate stakeholders as strategically crucial. The present work explores the use of ...
-
Machine learning in sustainable agriculture: systematic review and research perspectives
(2025)Machine learning (ML) has revolutionized resource management in agriculture by analyzing vast amounts of data and creating precise predictive models. Precision agriculture improves agricultural productivity and profitability ...
-
Machine learning model for predicting primary school scores based on spatial, socio demographic and school–related information
(2024)Learning strategies at primary school level are important to ensure student progress. In this regards, the identification of those factors influencing students grades certainly help teachers in predicting outcomes as well ...
-
Machine learning modeling for the prediction of plastic properties in metallic glasses
(2023)Metallic glasses are one of the most interesting mechanical materials studied in the last years, but as amorphous solids, they differ strongly from their crystalline counterparts. This matter can be addressed with the ...
-
Machine learning-based classifiers to predict metastasis in colorectal cancer patients
(2024)Background: The increasing prevalence of colorectal cancer (CRC) in Iran over the past three decades has made it a key public health burden. This study aimed to predict metastasis in CRC patients using machine learning ...
-
Machine learning-driven classification of urease inhibitors leveraging physicochemical properties as effective filter criteria
(2024)Urease, a pivotal enzyme in nitrogen metabolism, plays a crucial role in various microorganisms, including the pathogenic Helicobacter pylori. Inhibiting urease activity offers a promising approach to combating infections ...
-
Magma recharge and reheating driving the 2021–2023 tephra emissions of Villarrica volcano, southern Andes
(2025)Villarrica (Rukapillán) is the highest-threat volcano in Chile. For decades, persistent lava lake degassing within the crater has been interrupted by sporadic periods of unrest with increased Strombolian activity and tephra ...
-
Magnetic properties and crystal structure of solid-solution Cu2MnxFe1−xSnS4 chalcogenides with stannite-type structure
(2014)New solid solutions Cu2MnxFe1−xSnS4 were prepared by direct combination of the corresponding elements at 850 °C. The crystal structure of Cu2Mn0.4Fe0.6SnS4 was determined by single-crystal X-ray diffraction. This phase is ...
-
Magnetic properties of organolanthanide(ii) complexes, from the electronic structure and the crystal field effect
(2021)The magnetic properties of a series of organometallic complexes [LnCp3]− and Ln(CNT)2, where Cp = cyclopentadienyl and CNT = cyclononatetraenyl, of the lanthanide ions in the 2+ oxidation state, are theoretically studied ...
-
Magnetotelluric image of the Patagonian slab window: constraints on upper mantle physical properties and sources of intraplate magmatism
(2024)The Patagonian slab window (PSW) is a region of the Southamerican subduction zone where the absence of subducted slabs is interpreted, due to the subduction of the Chile Mid-Ocean Ridge at the Chile Triple Junction. Here ...
-
Main methods and tools for peptide development based on protein-protein interactions (PPIs)
(2025)Protein-protein interactions (PPIs) regulate essential physiological and pathological processes. Due to their large and shallow binding surfaces, PPIs are often considered challenging drug targets for small molecules. ...
-
Management flowering ability to increase efficiency in the sugarcane breeding program
(2012)Flowering abilities (panicles initiation period, flowering intensity and pollen fertility) at different altitudes (100, 400, 800 m above sea level) were evaluated in hundred sugarcane cultivars. Flowering data and ...
-
Management of industrial wine residues: physicochemical, bacterial and fungal dynamics during composting processes
(2024)To foster a circular bioeconomy throughout the management of industrial solid wine residues in the wine industry, this work presents the physicochemical and microbiological dynamics of the composting process with white ...
-
Mandatos de género en estudiantes de Pedagogía en Educación Física de Chile
; ; ; Castillo Retamal, Franklin; (2025)
Introducción: los mandatos de género son modelos normativos y estereotipos de la sexualidad y la relación con los/as demás. Objetivos: a) conocer las propiedades psicométricas de la Escala de Mandatos de Género en una ...
-
Manejo avanzado del infarto cerebral en un hospital público chileno: trombectomía mecánica en el Hospital Barros Luco Trudeau
(2022)Background: Mechanical thrombectomy is the accepted treatment for acute ischemic stroke in Large Vessel Occlusion. The Barros Luco Trudeau hospital developed endovenous thrombolysis in 2010, and since 2012, implemented ...
-
Manifestaciones emergentes del pensamiento variacional en estudiantes de cálculo inicial
(2016)En este trabajo se presentan los resultados obtenidos mediante el análisis didáctico de producciones estudiantiles, relativas al pensamiento variacional, usando el enfoque onto-semiótico del conocimiento y la instrucción ...