143 research outputs found

    Middleware to Operate Smart Photovoltaic Irrigation Systems in Real Time

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    Climate change, water scarcity and higher energy requirements and electric tariff compromises the continuity of the irrigated agriculture. Precision agriculture (PA) or renewable energy sources which are based on communication and information technologies and a large amount of data are key to ensuring this economic activity and guaranteeing food security at the global level. Several works which are based on the use of PA and renewable energy sources have been developed in order to optimize different variables of irrigated agriculture such as irrigation scheduling. However, the large amount of technologies and sensors that these models need to be implemented are still far from being easily accessible and usable by farmers. In this way, a middleware called Real time Smart Solar Irrigation Manager (RESSIM) has been developed in this work and implemented in MATLABTM with the aim to provide to farmers a user-friendly tool for the daily making decision process of irrigation scheduling using a smart photovoltaic irrigation management module. RESSIM middleware was successfully tested in a real field during a full irrigation season of olive trees using a real smart photovoltaic irrigation system

    De Novo Assembly of the Dirofilaria immitis Genome by Long-Read Nanopore-Based Sequencing Technology on an Adult Worm from a Canine Cardiopulmonary Dirofilariosis Case

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    Dirofilaria immitis is a zoonotic parasitic nematode that infects domestic and wild canids, among its vertebrate hosts. The genetic analysis of D. immitis nowadays transcends the need for genetic taxonomy of nematodes, such as the study of resistance to macrocyclic lactone. We expanded the use of long-read nanopore-based sequencing technology on nematodes by performing genomic de novo assembly of a D. immitis specimen retrieved from a canine cardiopulmonary dirofilariasis case using the ONT MinION platform, followed by the study of macrocyclic lactone resistance. The assembled genome of D. immitis consists of 110 contigs with an N50 of 3687191. The genome size is 87899012 and contains a total of 9741 proteins; 6 ribosomal RNAs, with three belonging to the small subunit (18S) and three to the large subunit (28S); and 73 tRNAs. Subsequent analysis of six loci previously characterized as being associated to macrocyclic lactone resistance selection pressure showed that four have a genotype associated with either some loss of efficacy or the resistance phenotype. Considering the zoonotic potential of D. immitis, the identification of a resistant parasite alerts for the overuse of macrocyclic lactone in the region, which poses a potential risk to both veterinary and human public health. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.Funding: This work was supported by national funds through the Fundação para a Ciência e Tec-nologia (FCT, Portuguese Foundation for Science and Technology) under projects UIDB/04750/2020, LA/P/0064/2020, UIDB/CVT/00772/2020, and LA/P/0059/2020

    Avaluació de la traducció automàtica d'imatges mitjançant sistemes de reconeixement de text en dispositius mòbils : Google Translate Images i Microsoft Translator Images

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    Aquest treball presenta un exercici d'avaluació de resultats de traducció automàtica mitjançant les aplicacions mòbils de traducció d'imatges Google Translate Images i Microsoft Translator Images, en la combinació d'idiomes anglès espanyol. Es comprova la seva potencial funcionalitat per al públic general i els professionals de la traducció. La investigació presenta un marc teòric a mode d'aproximació al concepte de qualitat en la indústria de la traducció, més concretament en la traducció automàtica, així com a les diferents aplicacions de la intel·ligència artificial en la traducció d'imatges; a la secció pràctica s'avaluen i comparen els resultats de TA de Google i Microsoft a partir d'una mostra d'imatges seleccionades aleatòriament.Este trabajo presenta un ejercicio de evaluación de resultados de traducción automática mediante las aplicaciones móviles de traducción de imágenes Google Translate Images y Microsoft Translator Images, en la combinación de idiomas inglés español. Se comprueba su potencial funcionalidad para el público general y los profesionales de la traducción. La investigación introduce un marco teórico a modo de aproximación al concepto de calidad en la industria de la traducción, más concretamente en la traducción automática, así como a las distintas aplicaciones de la inteligencia artificial en la traducción de imágenes; en la sección práctica se evalúan y comparan los resultados de TA de Google y Microsoft a partir de un muestrario de imágenes seleccionadas aleatoriamente.This paper presents an exercise in evaluating machine translation results using the mobile image translation applications Google Translate Images and Microsoft Translator Images in the English Spanish language combination. Its potential functionality for the general public and translation professionals is verified. The research presents a theoretical framework as an approach to the concept of quality in the translation industry, more specifically in machine translation, as well as the different applications of artificial intelligence in image translation; in the practical section, Google and Microsoft MT results are evaluated and compared from a sample of randomly selected images

    Aprender investigando en la escuela y en la universidad. Una experiencia de investigación-acción a partir del Trabajo por Proyectos

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    Los P.T. son una nueva propuesta de aprendizaje de carácter global que parte de los intereses e hipótesis del alumnado, realizándose de una forma flexible en torno a una temática determinada y atendiendo a la diversidad de los aprendices, al desarrollarse en un contexto de interacciones, indagación y actividad permanente. A través de la experiencia que contamos en este artículo, hemos podido comprobar la eficacia de este método de trabajo y por ello, creemos interesante fomentar su aplicación en la Educación Infantil.Les P.T. sont une nouvelle proposition d´apprentissage du global caractère qui part de les intérêts et les hypothèses d`effectif scolaire, s´en réalisant de une forme flexible autour de une déterminée thématique et en faisant attention à la diversité de les élèves, en ayant lieu dans un contexte d´interactions, investigation et permanente activité. Au travers de l´ expérience que nous racontons dans cet article, nos avons pu constater l´efficacité de cette méthode du travail et par ce motif, nous croyons intéressant fomenter son application dans l´ Éducation Infantile.Those Work Projects are a new learning proposal with a global sense that takes into consideration the students’ hypothesis and interests. They are fulfilled in a flexible way that deals with different topics and that caters for the diversity of all the students by taking place in permanent activity and in an interactional and investigative context. Through the experience of this article, we have checked the effectiveness of this work method and, consequently, we support its application in the context of Child Education

    La traducción automática en internet : Google Traductor y Baidu Translate

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    Aquest treball pretén analitzar si el resultat dels traductors automàtics Google Traductor i Baidu Translate en la combinació xinès-espanyol pot ajudar als estudiants de traducció amb xinès com a llengua C a tenir accés a bibliografia escrita en xinès per elaborar treballs acadèmics. Aquesta investigació consta de dues parts: d'una banda, el marc teòric en el qual s'explica en què consisteix la traducció automàtica, la posedició i quina és la situació actual de la traducció automàtica en la combinació xinès-espanyol; d'una altra, a la part pràctica compararem les traduccions de sis textos de temàtiques diferents realitzades per aquests dos traductors automàtics per veure quin és millor. A més a més, passarem un qüestionari a estudiants de traducció de xinès per conèixer la seva experiència i la seva opinió sobre la traducció automàtica del xinès a l'espanyol.Este trabajo pretende analizar si el resultado de los traductores automáticos Google Traductor y Baidu Translate en el par de lenguas chino-español puede ayudar a los estudiantes de traducción con chino como lengua C a tener acceso a bibliografía escrita en chino para elaborar trabajos académicos. Esta investigación consta de dos partes: por un lado, el marco teórico en el cual se explica en qué consiste la traducción automática, la posedición y cuál es la situación actual de la traducción automática en la combinación chino-español; por otro lado, en la parte práctica compararemos las traducciones de seis textos de temática diversa realizadas por estos dos traductores automáticos para ver cuál es mejor. Asimismo, pasaremos un cuestionario a varios estudiantes de traducción de chino para conocer su experiencia y su opinión sobre la traducción automática del chino al español.The purpose of this Bachelor's Degree Final Project is to analyse whether Google Translate and Baidu Translate automatic translators can help Chinese-Spanish translation students to clearly understand Chinese-written bibliography for academic work. This project is divided in two parts: the theoretical part, where machine translation and post-editing are defined and explained, and the current situation of Chinese-Spanish machine translation; in the practical part, we will compare the translations of six texts of different topics made by these two machine translation engines to know which one can do it better. Moreover, we will launch a questionnaire to know the experiences and opinions of Chinese translation students about Chinese-Spanish machine translation

    Comparison of 2D versus M-mode echocardiography for assessing fetal myocardial wall thickness

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    OBJECTIVE: M-mode and 2D have been proposed for evaluating fetal myocardial thickness. However, studies comparing the performance of both modalities are lacking. We aimed to compare 2D versus M-mode reproducibility for assessing myocardial wall thicknesses. METHODS: A prospective study including 45 healthy fetuses from low-risk pregnancies evaluated between 18 and 41 weeks of gestation. Left and right ventricular free-wall and septal myocardial thicknesses were measured at end-diastole (ED) and end-systole (ES) in transverse 4-chamber view using 2D and M-mode. Intra- and interobserver reproducibility was evaluated by the concordance correlation coefficient (CCC). Both techniques were compared by t-test of the CCC. RESULTS: 2D and M-mode demonstrated excellent and similar intraobserver repeatability, with the best concordance in ES septal thickness (M-mode CCC 0.956 versus 2D-mode CCC 0.914). Interobserver reproducibility demonstrated also a high concordance, optimal in ES left ventricular free wall (M-mode 0.925 versus 2 D 0.855). Comparison of both techniques demonstrated a high concordance in all measurements, except for ED septal thickness with better reproducibility using M-mode (CCC 0.954 versus 0.847, p = .017). CONCLUSIONS: 2D and M-mode can be used in a reproducible manner for measuring fetal myocardial thickness, with a slightly better performance of M-mode for assessing ED septal wall thickness

    The diacylglycerol kinase α/Atypical PKC/β1 integrin pathway in SDF-1α mammary carcinoma invasiveness

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    Diacylglycerol kinase α (DGKα), by phosphorylating diacylglycerol into phosphatidic acid, provides a key signal driving cell migration and matrix invasion. We previously demonstrated that in epithelial cells activation of DGKα activity promotes cytoskeletal remodeling and matrix invasion by recruiting atypical PKC at ruffling sites and by promoting RCP-mediated recycling of α5β1 integrin to the tip of pseudopods. In here we investigate the signaling pathway by which DGKα mediates SDF-1α-induced matrix invasion of MDA-MB-231 invasive breast carcinoma cells. Indeed we showed that, following SDF-1α stimulation, DGKα is activated and localized at cell protrusion, thus promoting their elongation and mediating SDF-1α induced MMP-9 metalloproteinase secretion and matrix invasion. Phosphatidic acid generated by DGKα promotes localization at cell protrusions of atypical PKCs which play an essential role downstream of DGKα by promoting Rac-mediated protrusion elongation and localized recruitment of β1 integrin and MMP-9. We finally demonstrate that activation of DGKα, atypical PKCs signaling and β1 integrin are all essential for MDA-MB-231 invasiveness. These data indicates the existence of a SDF-1α induced DGKα - atypical PKC - β1 integrin signaling pathway, which is essential for matrix invasion of carcinoma cells
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