Artículos Científicos: Envíos recientes
Mostrando publicaciones 1941-1960 de 3929
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Modificación de estilos de vida de adolescentes chilenos durante el primer confinamiento por COVID-19
(2022)Background: Confinement is an effective measure to control COVID-19, but it can have repercussions on lifestyle-related behaviors, especially among adolescents. Poor quality diet and low physical activity could trigger ...
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Improvement in the physiological and biochemical performance of strawberries under drought stress through symbiosis with Antarctic fungal endophytes
(2022)Strawberry is one of the most widely consumed fruit, but this crop is highly susceptible to drought, a condition strongly associated with climate change, causing economic losses due to the lower product quality. In this ...
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Effects of a local tomato rootstock on the agronomic, functional and sensory quality of the fruit of a recovered local tomato (Solanum lycopersicum L.) named “Tomate Limachino Antiguo”
(2022)The Old Limachino Tomato is a valuable fruit with exceptional nutritional values and organoleptic sensory properties. However, it suffers from a short shelf-life, compromising postharvest behavior. As an attempt to improve ...
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Integration of BIM in steel building projects (BIM-DFE): a delphi survey
(2022)This study aims to design a BIM integration model for steel building projects (BIM-DFE). It was developed in the following three phases: (i) theoretical phase, (ii) validation phase, and (iii) statistical analysis for the ...
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Water status estimation of cherry trees using infrared thermal imagery coupled with supervised machine learning modeling
Carrasco-Benavides, Marcos
; ; ; ; ; Mora, Marco ; (2022)
The implementation of artificial intelligence (AI) in parallel with remote sensing could be a powerful tool to manage irrigation scheduling on crops with narrow thresholds between water stress levels, such as cherry trees. ...
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Reflections of future kindergarten teachers on the design of a mathematical instruction process didactic sequences with the use of robots
(2022)The purpose of this study is to analyze the reflections of future kindergarten teachers when designing didactic sequences with the use of the bee-bot robot. A qualitative methodological design was followed to achieve ...
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Validation of the functional assessment of cancer therapy/gynecologic oncology group neurotoxicity questionnaire for the latin american population
(2022)Background. Chemotherapy-induced peripheral neuropathy is a common adverse effect of chemotherapeutic treatment and is associated with decreased quality of life. The aim of this study was to evaluate the validity and ...
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Percepción del ambiente educacional de postgrado en residentes de especialidades médicas de universidades chilenas
(2022)Background: The Learning Environment (LE) influences the performance of students, learning, social life, mental health, and the future of work. Aim: To assess the learning environment (LE) among medical residents of ...
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Gain-of-function dynamin-2 mutations linked to centronuclear myopathy impair ca2+-induced exocytosis in human myoblasts
(2022)Gain-of-function mutations of dynamin-2, a mechano-GTPase that remodels membrane and actin filaments, cause centronuclear myopathy (CNM), a congenital disease that mainly affects skeletal muscle tissue. Among these ...
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Training of an extreme learning machine autoencoder based on an iterative shrinkage-thresholding optimization algorithm
; Mora, Marco; (2022)
Orthogonal transformations, proper decomposition, and the Moore–Penrose inverse are traditional methods of obtaining the output layer weights for an extreme learning machine autoencoder. However, an increase in the number ...
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Predictors of the level of physical activity in physically active older people
(2022)There has not been much study of risk profiles in older people according to different levels of practice in physical activity. For this reason, the aim of this research was to evaluate whether the elements that influence ...
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New drug design avenues targeting alzheimer’s disease by pharmacoinformatics-aided tools
(2022)Neurodegenerative diseases (NDD) have been of great interest to scientists for a long time due to their multifactorial character. Among these pathologies, Alzheimer’s disease (AD) is of special relevance, and despite the ...
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Shear viscosity from black holes in generalized scalar-tensor theories in arbitrary dimensions
(2022)In higher dimensions, we study degenerate-higher-order-scalar-tensor theories and we derive solutions that resemble the Schwarzschild anti–de Sitter black holes. We compute their thermodynamic quantities following the Wald ...
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Smartphone-based Ecological Momentary Intervention for secondary prevention of suicidal thoughts and behaviour: protocol for the SmartCrisis V.2.0 randomised clinical trial
(2022)Introduction Suicide is one of the leading public health issues worldwide. Mobile health can help us to combat suicide through monitoring and treatment. The SmartCrisis V.2.0 randomised clinical trial aims to evaluate the ...
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Increasing interhemispheric connectivity between human visual motion areas uncovers asymmetric sensitivity to horizontal motion
(2022)Our conscious perceptual experience relies on a hierarchical process involving integration of low-level sensory encoding and higher-order sensory selection.1 This hierarchical process may scale at different levels of brain ...
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Taxonomic revision of Lepidura Townes, 1971 (Hymenoptera: Ichneumonidae: Mesochorinae) with the description of three new species, new distribution records and a key to the all known species
(2018)A taxonomic review of Lepidura Townes is presented, with three new species described. The following species are recognized: L. abbreviata Dasch, L. callaina Dasch, L. collaris Townes, L. improcera Dasch, L. mallecoensis ...
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CNN-based model for gender and age classification based on palm vein images
; ; Barrientos, Ricardo; ; ; (2022)
Automatically predicting gender and age group from biometrics traits is an essential and challenging task in many real-world applications. There are several works about using machine learning methods to identify human ...