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Data streams with missing values are common in real-world applications. This paper presents an evolving granular fuzzy-rule-based model for temporal pattern recognition and time series prediction in online nonstationary context, where values may be missing. The model has a modified rule structure that includes reduced-term consequent polynomials, and is supplied by an incremental learning algorithm that simultaneously impute missing data and update model parameters and structure. The evolving Fuzzy Granular Predictor (eFGP) handles single and multiple Missing At Random (MAR) and Missing Completely At Random (MCAR) values in nonstationary data streams. Experiments on cryptocurrency prediction show the usefulness, accuracy, processing speed, and eFGP robustness to missing values. Results were compared to those provided by fuzzy and neuro-fuzzy evolving modeling methods.

Previous structural brain-imaging studies in first-degree relatives of depressed patients showed alterations that are generally accepted as vulnerability markers for depression. However, only half of the relatives had depression at follow-up, while the other half did not. The aim of this study was to identify the brain areas associated with resilience to depression in high-risk subjects with familial depression. We recruited 59 young women with a history of depressed mothers. Twenty-nine of them (high-risk group [HRG]) had no depression history, while 30 (depressive group) had at least 1 depressive episode in adolescence. The brain structures of the groups were compared through voxel-based morphometry and analysis of cortical thickness. Individual amygdala nuclei and hippocampal subfield volumes were measured. The analysis showed larger amygdala volume, thicker subcallosal cortex and bilateral insula in the women in the HRG compared with those in the depressive group. in addition, we detected more gray matter in the left temporal pole in the HRG. The larger gray matter volume and increased cortical thickness in the key hub regions of the salience network (amygdala and insula) and structurally connected regions in the limbic network (subcallosal area and temporal pole) might prevent women in the HRG from converting to depression., Scientific and Technological Research Council of TurkeyTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [109S134], This work was supported by The Scientific and Technological Research Council of Turkey (Project Number 109S134).

Previous structural brain-imaging studies in first-degree relatives of depressed patients showed alterations that are generally accepted as vulnerability markers for depression. However, only half of the relatives had depression at follow-up, while the other half did not. The aim of this study was to identify the brain areas associated with resilience to depression in high-risk subjects with familial depression. We recruited 59 young women with a history of depressed mothers. Twenty-nine of them (high-risk group [HRG]) had no depression history, while 30 (depressive group) had at least 1 depressive episode in adolescence. The brain structures of the groups were compared through voxel-based morphometry and analysis of cortical thickness. Individual amygdala nuclei and hippocampal subfield volumes were measured. The analysis showed larger amygdala volume, thicker subcallosal cortex and bilateral insula in the women in the HRG compared with those in the depressive group. In addition, we detected more gray matter in the left temporal pole in the HRG. The larger gray matter volume and increased cortical thickness in the key hub regions of the salience network (amygdala and insula) and structurally connected regions in the limbic network (subcallosal area and temporal pole) might prevent women in the HRG from converting to depression.

[No abstract available], Scientific and Technological Research Council of TurkeyTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [109S134], This work was supported by the Scientific and Technological Research Council of Turkey (Project Number 109S134).

El presente estudio tuvo como propósito determinar la relación del compromiso escolar y liderazgo docente en estudiantes de la Institución Educativa Multigrado N° 20851, Piura, 2020. Respecto a los fundamentos teóricos, la variable compromiso escolar se basa en la Teoría de la Autodeterminación de Deci y Ryan (2000) y el modelo de Lara et al. (2018) y la variable liderazgo docente se fundamenta en la Teoría de Liderazgo Motivacional de Romero (1993) y el modelo teórico de Cerda y Ramírez (2010). El tipo de estudio fue básico, cuantitativo, transversal, con un diseño no experimental correlacional; contó con una población de 21 estudiantes, de los cuales 10 conformaron la muestra. Para el recojo de información se empleó como instrumento dos cuestionarios con escala ordinal, referentes a las variables. Según los resultados obtenidos, las dimensiones compromiso afectivo con valor p: 0,866 y rho: 0,062; compromiso conductual con valor p: 0,641 y rho: -0,169 y compromiso cognitivo con valor p: 0,450 y rho: -0,271 no se relacionan significativamente con el liderazgo docente. En conclusión, el compromiso escolar no se relaciona significativamente con el liderazgo docente siendo el valor p: 0,907 y rho: -0.043. Piura Escuela de Posgrado Gestión y Calidad Educativa

A necessity to improve the quality of textile products and reduce production costs associated with losses of raw materials in the processing requires the development of automated quality inspection systems for all steps of textile production. Promising is the use of contactless methods of nondestructive testing based on the methods of vision. The object of research is a device to inspect the shape of textile packages by shadow projection method for monitoring in real time. A series of experiments and theoretical research are conducted aimed at the study of structural parameters of the device to inspect the shape of the packing by the shadow projection method, providing the required accuracy. On the basis of the mutual arrangement of the structural elements of the light source, camera shutter and inspected bobbin, the impact of each of them on the scale transformation error for inspection of the package shape of cross winding is defined. This result allows to select the mutual arrangement of design elements and to set their permissible variations of devices to inspect the package shape of cross winding by the shadow projection method. Inspection of package shape in the process of their developments will prevent the formation of defective packages. It will increase a percentage of defect packages and the loss of raw material in the textile industry, which ultimately will raise its efficiency.