Intervention Programme Based on Executive Functions in Children with ADHD

Attention-deficit-hyperactivity disorder (ADHD) is a common neurobehavioral disorder with onset in childhood. Children with ADHD have been found to show impairment in emotional self-control, self-regulation and motivation. Numerous studies have reported cognitive disabilities in memory, executive functions, spatial abilities and language skills. The main objective of this research was to determine if the executive function intervention programme implemented could improve attention process and executive functions in children with Attention Deficit Hyperactivity Disorder. The sample consisted of 50 children (14 female and 36 male) aged between 8 and 12 years, diagnosed with ADHD and who were not under any psychopharmacological treatment at the time of the study, and had not taken medication to mitigate such disorder. Executive functioning was assessed through the Zoo Map Test and attention was evaluated by the “D2 Test of Attention” in a pretest-postest cuasi experimental design. The executive functioning intervention programme implemented was designed and tested for this research and consisted of 12 one-hour weekly sessions and the participants were trained individually. The data indicated that the intervention lead to improved performance in the execution of tasks that evaluate executive functions. After the intervention, the children took less time to resolve the Zoo Map Test, and the results in the “D2 Test of Attention” also improved after the training. Therefore, data showed that such executive functioning intervention programme could improve attention processes and executive functions in children with Attention Deficit Hyperactivity Disorder. Therefore, the programme used becomes effective intervention as well as the data found links the nature of the problem to a specific treatment management by objectives

Apoyo familiar en escolares de alta capacidad intelectual de diferentes contextos socioeducativos

El objetivo del trabajo fue analizar la percepción del apoyo familiar al aprendizaje en 79 alumnos de 6to grado con aptitud intelectual superior de tres contextos educativos (escuela urbana pública y privada, y rural indígena) en Morelos, México. Los alumnos respondieron la prueba SAGES-2 (Johnson & Corn, 2001) y el Cuestionario de Apoyo Familiar de Bazán & Domínguez (2009). Solamente se encontraron diferencias significativas entre los contextos analizados en la percepción de la comunicación regular con maestros relacionada con la materia Español, que fue percibida con mayor frecuencia en el contexto de la escuela privada, respecto al público indígena, independientemente del área de capacidades detectada. Se enfatiza la urgencia de investigar las variables del contexto socioeconómico y familiar para la comprensión de la manifestación, desarrollo y educación de las altas capacidades en alumnos de entornos culturales diferentes

Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures

Prostate cancer is the second-most frequently diagnosed cancer and the sixth leading cause of cancer death in males worldwide. The main problem that specialists face during the diagnosis of prostate cancer is the localization of Regions of Interest (ROI) containing a tumor tissue. Currently, the segmentation of this ROI in most cases is carried out manually by expert doctors, but the procedure is plagued with low detection rates (of about 27-44%) or overdiagnosis in some patients. Therefore, several research works have tackled the challenge of automatically segmenting and extracting features of the ROI from magnetic resonance images, as this process can greatly facilitate many diagnostic and therapeutic applications. However, the lack of clear prostate boundaries, the heterogeneity inherent to the prostate tissue, and the variety of prostate shapes makes this process very difficult to automate.In this work, six deep learning models were trained and analyzed with a dataset of MRI images obtained from the Centre Hospitalaire de Dijon and Universitat Politecnica de Catalunya. We carried out a comparison of multiple deep learning models (i.e. U-Net, Attention U-Net, Dense-UNet, Attention Dense-UNet, R2U-Net, and Attention R2U-Net) using categorical cross-entropy loss function. The analysis was performed using three metrics commonly used for image segmentation: Dice score, Jaccard index, and mean squared error. The model that give us the best result segmenting all the zones was R2U-Net, which achieved 0.869, 0.782, and 0.00013 for Dice, Jaccard and mean squared error, respectively

MetastamiRs: Non-Coding MicroRNAs Driving Cancer Invasion and Metastasis

MicroRNAs (miRNAs) are small non-coding RNAs of ~22 nucleotides that function as negative regulators of gene expression by either inhibiting translation or inducing deadenylation-dependent degradation of target transcripts. Notably, deregulation of miRNAs expression is associated with the initiation and progression of human cancers where they act as oncogenes or tumor suppressors contributing to tumorigenesis. Abnormal miRNA expression may provide potential diagnostic and prognostic tumor biomarkers and new therapeutic targets in cancer. Recently, several miRNAs have been shown to initiate invasion and metastasis by targeting multiple proteins that are major players in these cellular events, thus they have been denominated as metastamiRs. Here, we present a review of the current knowledge of miRNAs in cancer with a special focus on metastamiRs. In addition we discuss their potential use as novel specific markers for cancer progression

ANÃLISIS FODA Y PERSPECTIVAS DEL CULTIVO DEL NOGAL PECANERO EN CHIHUAHUA

Pecan production is one of the most important crops in our country. It not only has an economical capacity as a generator of foreign currency, but also for the social context in which it develops its production. Most of the pecan growers have small sized orchards, but at the same time, there are few pecan growers with large sized orchards that use modern technology. The objective of this study is to present a SWOT analysis of the pecan system and to describe the contexts in which it is produced and commercialized, as well as the main characteristics and problems that appear in pecan production, as well as the prediction of its future under current production and management conditions.WOTS-UP analysis, pecan system, production and commercialization., Agribusiness,

RENTABILIDAD DEL NOGAL PECANERO BAJO SISTEMAS DE PRODUCCIÓN DE MEDIANA TECNOLOGÃA EN DELICIAS, CHIHUAHUA

Pecans (Carya Illinoinensis [Wangenh] K. Koch) are a native food of North America and represent a high economic crop value in the north of Mexico, mainly in the state of Chihuahua, the biggest pecan nut producer in this country. The goal of this study was to evaluate the profitability of pecan orchards in the municipality of Delicias, Chihuahua. Some microeconomic and market information from 2008 were collected from pecan growers and specialists through the technique of Experts' Panel. Standard financial analysis and a Monte Carlo simulation model were used to evaluate the probabilities of risk for net cash income (NCI) and return on capital employed (RCE). The NCI obtained was $277,000 and RC 111.7%, indicating that pecan orchards show high profitability when is produced under medium-technology conditions in the municipality of Delicias, Chihuahua.Carya Illinoinensis, production costs, Monte Carlo simulation., Agribusiness,

Algorithm Integration Behavior for Discovering Group Membership Rules

Information exploitation processes use different data mining algorithms for obtaining knowledge patterns from data obtained on the problem domain. One of the assumptions when working with these algorithms is that the complexity of the membership domain of the cases they use does not affect the quality of the obtained results. So, it is important to analyze the behavior of the information exploitation process through the discovery of group membership rules by using clustering and induction algorithms. This research characterizes the complexity of the domains in terms of the pieces of knowledge that describe them and information exploitation processes they seek to discover. The results of the experiments show that, in the case of the process for discovering group membership rules, the quality of the patterns differs depending on the algorithms used in the process and the complexity of the domains to which they are applied

Use of small wind turbines in isolated areas social impact

Local development is aimed at achieving sustainability and energy independence with the use of indigenous resources, in this environment technologies that take advantage of wind energy is one of the most propitious in low wind speed. Since very remote times have been solving different problems in the isolated and rural areas, in the province of Manabí there are no high wind speeds these are maintained between 2.5 and 3.5 m / s. In the research carried out, it was possible to demonstrate the feasibility of implementing small wind turbines in most of the territory of the Chone canton of the province of Manabí, visualizing that the implementation of small-scale technology can provide adequate solutions to the use of the resource since there is potentiality Energy to introduce the technology with the use of micro-wind turbines that its starting speed is in the range of 1-3 m / s, knowing that these only require small technical maintenance, besides being viable technologies to support the change of Energy matrix, generation of jobs and promises to achieve energy independence in isolated rural areas, improving the living conditions of the population and enhancing social development

Binational reflections on pathways to groundwater security in the Mexico-United States borderlands

Shared groundwater resources between Mexico and the United States are facing unprecedented stressors. We reflect on how to improve water security for groundwater systems in the border region. Our reflection begins with the state of groundwater knowledge, and the challenges groundwater resources face from a physical, societal and institutional perspective. We conclude that the extent of ongoing cooperation frameworks, joint and remaining research efforts, from which alternative strategies can emerge, still need to be developed. The way forward offers a variety of cooperation models as the future offers rather complex, shared and multidisciplinary water challenges to the Mexico–US borderlands

Platelet Count in First Trimester of Pregnancy as a Predictor of Perinatal Outcome

AIM: To rule out maternal and pregnancy factors that may contribute to platelet count (PLT) changes in the first trimester of gestation and examine if there is any association between its levels and adverse perinatal outcome.METHODS: The study population included all patients from the first-trimester visit between 2013-2015 with pregnancy results. Linear multiple regression was constructed to rule out variables that may have a significant contribution to PLT. For each adverse outcome at birth, multiple logistic regression analysis was implemented to estimate the PLT effect.RESULTS: PLT was measured in 6092 patients. There was the significant contribution on PLT in the first trimester from maternal weight, the presence of rheumatologic disease, BHCG levels and MPV. There was a significant association between PLT and abnormal cardiotocography at delivery (OR 1.004; IC95% 1.001 to 1.007) and C-Section due to abnormal CTG (OR 1.005; IC95% 1.002 to 1.008). When adjusted for factors that interact with PLT there was also a significant association with pH at birth < 7.10 and gestational diabetes.CONCLUSIONS: Maternal and pregnancy factors can poorly predict relevant changes in PLT at the first trimester of gestation. PLT at first trimester of pregnancy might predict adverse perinatal outcome in combination with other markers