Listar Artículos Científicos por título
Mostrando publicaciones 1848-1867 de 3236
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Long-term rock phosphate fertilization impacts the microbial communities of maize rhizosphere
(2017)Phosphate fertilization is a common practice in agriculture worldwide, and several commercial products are widely used. Triple superphosphate (TSP) is an excellent soluble phosphorus (P) source. However, its high cost of ...
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Longitudinal exposure to pyrethroids (3-PBA and trans-DCCA) and 2,4-D herbicide in rural schoolchildren of Maule region, Chile
(2020)Background: Several studies showed that early exposure to pesticides affects the development and health of children. In Maule, there is previous evidence of the high exposure to organophosphate pesticides (OP) of schoolchildren. ...
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Longitudinal study changes in coordination development disorder in preschool children
(2020)Objective: To follow changes in the diagnosis of Typical Motor Development (MD) and the probable Coordination development disorder (pCDD) diagnostics in preschoolers for 24 months. Method: Two data collection designs ...
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Loss of social/non-social context discrimination by movement acceleration in the valproate model of autism
(2021)Autism spectrum disorder (ASD) is a neurodevelopmental alteration characterized by social/communicative deficits, repetitive/stereotyped movements, and restricted/obsessive interests. However, there is not much information ...
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Low fruit set in an endangered tree: pollination by exotic bumblebees and pollen resource for relictual native bees
(2021)Many endangered plants are susceptible to pollination failure due to their rareness. We studied the threatened Chilean tree Legrandia concinna (Myrtaceae) with melittophilous pollen-only flowers and the pollen loads of ...
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Low-cost sensors for odor monitoring: The state of the art and challenges
(2023)Low-cost sensors and the Internet of Things (IoT) are technologies that have been expressively increasing their development and applications in the last few years. They could be very useful for environmental applications ...
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Loxoscelismo cutáneo: Una revisión narrativa de un problema actual
(2012)The endemic presence of Loxosceles laeta species in Chile determinates a constant validity of loxoscelism in clinical practice. Among their clinical scope, cutaneous loxoscelism is the most common presentation and it usually ...
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Lung function evaluation through computerized tomography and 3D reconstruction of airways: a body mass index pilot study
(2020)La obesidad es una epidemia mundial, la que se ha transformado en un factor de riesgo en el desarrollo problemas respiratorios. Al respecto, generar modelos de evaluación de la función pulmonar en pacientes obesos es ...
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Lysyl oxidase isoforms in gastric cancer
(2016)Gastric cancer (GC) is the fifth most frequent cancer in the world and shows the highest incidence in Latin America and Asia. An increasing amount of evidence demonstrates that lysyl oxidase isoforms, a group of extracellular ...
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Lysyl oxidase like-2 crosslinks collagen IV of glomerular basement membrane
(2016)The 7S dodecamer is recognized as an important structural crosslinking domain of collagen IV networks that provide mechanical stability to basement membranes, a specialized form of extracellular matrix essential for the ...
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L’Église catholique chilienne et l’effacement de la décoïncidence
(2019)Este artículo intenta mostrar que uno de los principales síntomas que marcan hoy la Iglesia católica chilena a través (y más allá) de los diferentes casos de abusos sexuales, de poder y de conciencia, es una crisis profunda ...
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L’itinéraire du pardon : l’aventure d’une sécularisation
(2020)El siguiente artículo persigue dar cuenta del desplazamiento que habría experimentado el fenómeno del perdón desde su origen fundamentalmente bíblico a un plano donde lo que se releva es el tratamiento político del perdón ...
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L’ordre institutionnel chilien et sa relation avec la critique au XIXe siècle. Un regard depuis la sociologie de la critique
(2019)Este texto se propone evaluar la institucionalidad chilena y su relación con la crítica a la luz de nociones claves de la sociología de la crítica desarrollada en torno a los trabajos de Luc Boltanski y Laurent Thévenot. ...
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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 ...
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M2 macrophages do not fly into a “RAGE”
(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, ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...