Natureza artística da atuação para cinema e televisão

It is customary among human beings to comment on what makes part of their immediate environment, and when so doing, it may be included as a subject of conversation the performance of some particular actor or actress on the TV or in the cinema. But this daily exercise of discretion usually neglects the artistry of the regarded object, in this case a histrionic performance, to concentrate on the first appropriations of their aestheticism.The analytic approach to the creation of an actor or actress must begin by defining the nature of or the performed characters. Experts agree on the fact that an actor possessing fine technical skills and rigorous training, a cultured actor who is able to read and has excellent memory, great vocal and physical expressiveness and is a keen observer of reality, will be capable of working as well on the stage as on the radio, for the cinema or television. Each medium has its own peculiarities, which must be taken into account by the actor. The essence of acting for films and television is, in the first place, the deployment on camera, among other specific indicators there required.Es costumbre comentar sobre aquello que forma parte de nuestros entornos inmediatos. Cuando lo hacemos, incluimos entre esos temas de conversación el desempeño de tal o cual actor o actriz que hemos visto en la televisión e incluso en el cine. Ese ejercicio cotidiano del criterio suele dejar por fuera la artisticidad del objeto que se valora, en este caso un trabajo actoral, para concentrarse en las apropiaciones primarias en torno a su esteticidad.El acercamiento analítico a la creación de un actor o actriz, debe comenzar por definir la naturaleza del (de los) personaje(s) que interpreta. Entre los estudiosos del tema, hay coincidencia en que un actor con una buena preparación técnica y riguroso entrenamiento, un actor culto, que sepa leer, tenga excelente memoria y buena expresividad vocal y corporal, que sea un agudo observador de la realidad, está en condiciones de trabajar en el teatro, la radio, el cine y la televisión, indistintamente. Cada medio tiene sus peculiaridades, que el actor está obligado a tomar muy en cuenta. Lo esencial de la actuación para cine y televisión es, en primer lugar, desenvolverse ante una cámara, entre otros indicadores específicos de su quehacer artístico allí. É costume dos humanos comentar sobre aquilo que faz parte dos seus ambientes adjacentes. Quando fazemos isto, incluímos entre estes temas de conversa o desempenho de um ou outro ator ou atriz que temos visto na televisão ou no cinema. Esse exercício cotidiano do critério acostuma deixar de fora a artisticidade do objeto que se valora, neste caso um trabalho atoral, para concentrar-se nas apropriações primarias em volta a sua esteticidade.A aproximação analítica á criação dum ator ou atriz, deve começar por definir a natureza do ou dos personagens que interpreta. Entre os estudiosos do tema, coincidem em que um ator com uma boa preparação técnica e rigoroso treinamento, um ator culto, que saiba ler, tenha excelente memória e boa expressividade vocal e corporal, que seja um agudo observador da realidade, está em condições de trabalhar no teatro, a rádio, o cinema e a televisão, indistintamente. Cada meio tem suas particularidades, que o ator está altamente obrigado a ter em conta. O essencial da atuação para cinema e televisão é, em primeiro lugar, o desenvolver-se diante uma câmera, entre outros indicadores específicos do seu fazer artístico ali

Effectiveness of psychological treatments for depression in childhood and adolescence: A review of reviews

Depression in childhood and adolescence is a public health problem due to its high prevalence and the impact it has in the individual development. There is clear evidence of the efficacy of Interpersonal Therapy (IPT) and Cognitive-Behavioural Therapy (CBT) in the treatment of depression in children and adolescents; however, recent reviews and meta-analyses provide new perspectives for treatment. The purpose of this work is to synthesize the bibliography available through a systematic review of systematic reviews and meta-analysis that summarizes in a comprehensive way the evidence of the last two decades on the effectiveness of psychological interventions for infant-juvenile depression. A systematic review of systematic reviews and meta-analyses was performed. A search was conducted in the Web of Science and Scopus databases. Eight records met the inclusion criteria, 2 were analysed in their entirety and from the remaining 6 the information needed for independent analysis was extracted. Seven different psychotherapies were studied: CBT and IPT were the most studied (n=7; 87.5%), followed by family therapy (n=5; 62.5%), psychodynamic therapy (n=3; 37.5%), behavioural therapy (n=3; 37.5%), computerised CBT (n=2; 25%), problem-solving therapy (n=1; 12.5%) and supportive therapy (n=1; 12.5%). IPT and CBT were shown to be effective in the treatment of adolescent depression. Half of the reviews (n=4; 50%) had a low methodological quality and the other half (n=4; 50%) were classified as critically low. In general, psychological interventions for child and adolescent depression produce significant, but modest effects. Specifically, IPT and CBT can be considered the main treatment alternatives for adolescent depression. There is insufficient data of specific psychological treatment for children diagnosed with a depressive disorder. It is suggested that research should be increased to improve the methodological quality and increase the number of studies aimed at the children population.Eficacia de los tratamientos psicológicos para depresión en la infancia y la adolescencia: Una revisión de revisiones. La depresión infanto-juvenil es un problema de salud pública por su elevada prevalencia y el impacto que tiene en el desarrollo del individuo. Aunque existe una sólida evidencia sobre la eficacia de la psicoterapia interpersonal y la terapia cognitivo-conductual (TCC) en el tratamiento de la depresión en niños y adolescentes, recientes revisiones y meta-análisis aportan nuevas perspectivas de tratamiento. La finalidad de este trabajo es sintetizar la bibliografía disponible mediante una revisión sistemática de revisiones sistemáticas y meta-análisis que resuma de manera integral la evidencia de las últimas dos décadas sobre la eficacia de las intervenciones psicológicas para la depresión infanto-juvenil. Se realizó una revisión sistemática de revisiones sistemáticas y meta-análisis. Se llevó a cabo una búsqueda en las bases de datos Web of Science y Scopus. Ocho registros cumplieron los criterios de inclusión, 2 se analizaron en su totalidad y de los 6 restantes se extrajo la información necesaria para ser analizada independientemente. Se estudiaron siete psicoterapias distintas: la TCC y la terapia interpersonal fueron las más estudiadas (n=7; 87,5%), seguidas por la terapia familiar (n=5; 62,5%), la terapia psicodinámica (n=3; 37,5%), la terapia conductual (n=3; 37,5%), la TCC informatizada (n=2; 25%), la terapia de resolución de problemas (n=1; 12,5%) y la terapia de apoyo (n=1; 12,5%). La terapia interpersonal y la TCC demostraron ser efectivas en el tratamiento de la depresión adolescente. La mitad de las revisiones (n=4; 50%) presentaron una calidad metodológica baja y la otra mitad (n=4; 50%) se clasificó como críticamente baja. Las intervenciones psicológicas para la depresión infanto-juvenil, en general, producen efectos significativos, pero modestos. De forma específica, la terapia interpersonal y la TCC pueden considerarse las principales alternativas de tratamiento para la depresión adolescente. No se dispone de datos suficientes sobre el tratamiento psicológico específico para niños con un diagnóstico de un trastorno depresivo. Se sugiere un aumento de la investigación que mejore la calidad metodológica y aumenten los estudios dirigidos a la población infanti

Territory 3: digital system of territorial investigation in urbanism, urban geography and ground geography

The project territorio3 articulates diverse theoretical fields and scales in a same space of investigation. Its objective is to create a digital system of academic use that integrates the development of cross-sectional investigations in courses of Geography and Urbanism, allowing to an analysis of the process of urban expansion of Santiago and their local impacts. This project tries to resolve the typical educational incompatibilidades between students of different courses and levels - from hours, work differences and lack from physical space that vanish in a virtual atmosphere, conserving the autonomy to discipline of each course.Peer Reviewe

Burnout, Resilience, and COVID-19 among Teachers: Predictive Capacity of an Artificial Neural Network

Emotional exhaustion, cynicism, and work inefficiency are three dimensions that define burnout syndrome among teachers. On another note, resilience can be understood as the ability to adapt to the environment and overcome adverse situations. In addition, COVID-19 has provided a threatening environment that has led to the implementation of resilience strategies to struggle with burnout and cope with the virus. The aim of this study was to analyze the relationship between resilience, burnout dimensions, and variables associated with COVID-19 through the design of an artificial neural network architecture. For this purpose, the Maslach Burnout InventoryGeneral Survey (MBI-GS), the Brief Resilience Coping Scale (BRCS), and a questionnaire on stress towards COVID-19 were administered to 419 teachers from secondary schools in southeastern Spain (292 females; 69.7%). The results showed that 30.8% suffered from burnout (high emotional exhaustion, high cynicism, and low professional efficacy) and that 38.7% had a high level of resilience, with an inverse relationship between both constructs. Likewise, we modelled an ANN able to predict burnout syndrome among 97.4% of teachers based on its dimensions, resilience, sociodemographic variables, and the stress generated by COVID-19. Our conclusions shed some light on the efficacy of relying on artificial intelligence in the educational field to predict the psychological situation of teachers and take early action

Fractionation and fluxes of metals and radionuclides during the recycling process of phosphogypsum wastes applied to mineral CO2 sequestration

The industry of phosphoric acid produces a calcium-rich by-product known as phosphogypsum, which is usually stored in large stacks of millions of tons. Up to now, no commercial application has been widely implemented for its reuse because of the significant presence of potentially toxic contaminants. This work confirmed that up to 96% of the calcium of phosphogypsum could be recycled for CO2 mineral sequestration by a simple two-step process: alkaline dissolution and aqueous carbonation, under ambient pressure and temperature. This CO2 sequestration process based on recycling phosphogypsum wastes would help to mitigate greenhouse gasses emissions. Yet this work goes beyond the validation of the sequestration procedure; it tracks the contaminants, such as trace metals or radionuclides, during the recycling process in the phosphogypsum. Thus, most of the contaminants were transferred from raw phosphogypsum to portlandite, obtained by dissolution of the phosphogypsum in soda, and from portlandite to calcite during aqueous carbonation. These findings provide valuable information for managing phosphogypsum wastes and designing potential technological applications of the by-products of this environmentally-friendly proposal.Junta de Andalucía P10-RNM-6300, P12- RNM-226

An Automated Fall Detection System Using Recurrent Neural Networks

Falls are the most common cause of fatal injuries in elderly people, causing even death if there is no immediate assistance. Fall detection systems can be used to alert and request help when this type of accident happens. Certain types of these systems include wearable devices that analyze bio-medical signals from the person carrying it in real time. In this way, Deep Learning algorithms could automate and improve the detection of unintentional falls by analyzing these signals. These algorithms have proven to achieve high effectiveness with competitive performances in many classification problems. This work aims to study 16 Recurrent Neural Networks architectures (using Long Short-Term Memory and Gated Recurrent Units) for falls detection based on accelerometer data, reducing computational requirements of previous research. The architectures have been tested on a labeled version of the publicly available SisFall dataset, achieving a mean F1-score above 0.73 and improving state-of-the-art solutions in terms of network complexity.Ministerio de Economía y Competitivida TEC2016-77785-

Breast Cancer Automatic Diagnosis System using Faster Regional Convolutional Neural Networks

Breast cancer is one of the most frequent causes of mortality in women. For the early detection of breast cancer, the mammography is used as the most efficient technique to identify abnormalities such as tumors. Automatic detection of tumors in mammograms has become a big challenge and can play a crucial role to assist doctors in order to achieve an accurate diagnosis. State-of-the-art Deep Learning algorithms such as Faster Regional Convolutional Neural Networks are able to determine the presence of an object and also its position inside the image in a reduced computation time. In this work, we evaluate these algorithms to detect tumors in mammogram images and propose a detection system that contains: (1) a preprocessing step performed on mammograms taken from the Digital Database for Screening Mammography (DDSM) and (2) the Neural Network model, which performs feature extraction over the mammograms in order to locate tumors within each image and classify them as malignant or benign. The results obtained show that the proposed algorithm has an accuracy of 97.375%. These results show that the system could be very useful for aiding physicians when detecting tumors from mammogram images.Ministerio de Economía y Competitividad TEC2016-77785-

Adaptative ECT System Based on Reconfigurable Electronics

In this work we present a novel scheme for the design of electrical capacitance tomography systems that is based on the use of reconfigurable electronics. The objective of this strategy is to generate an adaptable and portable prototype for the processing electronics, i.e., an instrument suitable to be easily transported and applied to different ECT sensors and scenarios with no need of hardware redesign. In order to show the benefits of this approach, a prototype of the processing electronics for the readings of the inter-electrode capacitance values has been implemented using a Programmable System on Chip (PSoC) that allows configuring both analog and digital blocks included in the design. The result is a compact and portable instrument that can work with any ECT sensor up to 8 electrodes. The measurements are sent through a wireless Bluetooth link to an external smart-device such as smartphone, where the permittivity distribution is reconstructed using a custom-developed Android application.Junta de Andalucía (University Professor and Researcher Training Program – FPDI grant)EI BIOTiC under project MPTIC1

Cost-effective printed electrodes based on emerging materials applied to biosignal acquisition

In this paper flexible printed electrodes applicable to wearable electronics are presented. Using innovative materials as Laser Induced Graphene (LIG) and printed electronics, three type of electrodes based in LIG, silver chloride and carbon inks have been compared during the acquisition of bipotentials as electrocardiogram, electromyogram and electrooculogram. For this last one, a completely new framework for acquisition have been developed. This framework is based in a printed patch which integers 6 electrodes for the EOG acquisitions and an ad-hoc signal processing to detect the direction and amplitude of the eye movement. The performance of the developed electrodes have been compared with commercial ones using the characteristics parameters of each signal as comparative variables. The results obtained for the flexible electrodes have shown a similar performance than the commercial electrodes with an improvement in the comfort of the user.Spanish Ministry of Education, Culture and Sport (MECD)/FEDER-EU TEC2017-89955-P FPU16/01451 FPU18/01376BBVA FoundationUniversity of Granad

Multi-dataset Training for Medical Image Segmentation as a Service

Deep Learning tools are widely used for medical image segmentation. The results produced by these techniques depend to a great extent on the data sets used to train the used network. Nowadays many cloud service providers offer the required resources to train networks and deploy deep learning networks. This makes the idea of segmentation as a cloud-based service attractive. In this paper we study the possibility of training, a generalized configurable, Keras U-Net to test the feasibility of training with images acquired, with specific instruments, to perform predictions on data from other instruments. We use, as our application example, the segmentation of Optic Disc and Cup which can be applied to glaucoma detection. We use two publicly available data sets (RIM-One V3 and DRISHTI) to train either independently or combining their data.Ministerio de Economía y Competitividad TEC2016-77785-