An Application of Cooperative Game Theory to Distributed Control

18th World CongressThe International Federation of Automatic ControlMilano (Italy) August 28 - September 2, 2011In this paper we propose to study the underlying properties of a given distributed control scheme in which a set of agents switch between different communication strategies that define which network links are used in order to regulate to the origin a set of unconstrained linear systems. The problems of how to decide the time-varying communication strategy, share the benefits/costs and detect which are the most critical links in the network are solved using tools from game theory. The proposed scheme is demonstrated through a simulation example

Energy evaluation of extruded compound foods for dogs by near-infrared spectroscopy

Near-infrared reflectance spectroscopy (NIRS) was used to predictthe chemical composition, the apparent digestibility and the content ofdigestible nutrients and energy of commercial extruded compoundfoods fordogs

Interpersonal perceptions of adverse peer experiences in first-grade students

Aim: The aim of this study was to identify which adverse peer experiences better predict perceived negative peer relationships among elementary school first graders according to sex. The peer experiences examined were peer rejection, peer victimization, and mutual antipathy; the interpersonal perceptions studied were perceived peer victimization, dyadic meta-perception of peer disliking, and loneliness. Methods: The participants were 809 children (Mage = 6.4 years, SD = 0.32; ngirls = 412, 50.9%) enrolled in 35 first-grade classes from 15 schools in 4 Spanish regions: Valencia, n = 276, 34.1%; Balearic Islands, n = 140, 17.3%; Andalusia, n = 199, 24.6%; Castile-Leon, n = 194, 24%. We calculated sex differences in peer experiences and interpersonal perceptions by means of one-way ANOVA for means differences and Fisher’s r-to-z transformation for correlations differences. We used a multilevel regression analysis (nesting variables: class and region) to determine whether the associations between each peer experiences and each perception were unique. Results: Each adverse peer relationship predicted each interpersonal perception differentially. Peer victimization was a good predictor of the three interpersonal perceptions, and the only predictor of perceived peer victimization. Peer rejection predicted loneliness, whereas mutual antipathies predicted dyadic meta-perception of peer disliking, although more so among girls. A significant effect at region level was found but not at class level. Conclusion: Our findings suggest that research should take into account the different levels of the social peer system when analyzing peer experiences within the classroom context. The study contributes to sensitize teachers about the greater responsiveness of 6-year-old girls to adverse peer experiences, and it could be useful for designing interventions that would help children oppose rejection and empower active bystanders to fight against peer mistreatment.Ministerio de Economía y Competitividad de España EDU2012-35930Universitat Jaume I P1-1A2012-0

Cortes compensados para la deformación principal alpina en el borde sur oriental del Sistema Central español (Zona de Tamajón, Guadalajara)

Las estructuras alpinas principales del borde sur oriental del Sistema Central Español (zona de Tamajón) resultan ser dos cabalgamientos de dirección N70oE, con dirección de transporte hacia el SE, con retrocabalgamientos y fallas de transferencia asociadas. La dirección de transporte de los cabalgamientos es coherente con la dirección de acortamiento horizontal de la "etapa Guadarrama" (N1500E), a la cual están asociados genéticamente. El efecto de los cabalgamientos en la cobertera mesozoica es el desarrollo de diferentes tipos de pliegues asimétricos. El acortamiento, deducido de la restauración de cortes geológicos, es de 17-19

The Role of the Dorsolateral Prefrontal Cortex during Sequence Learning is Specific for Spatial Information

Many studies have implicated the dorsolateral prefrontal cortex in the acquisition of skill, including procedural sequence learning. However, the specific role it performs in sequence learning has remained uncertain. This type of skill has been intensively studied using the serial reaction time task. We used three versions of this task: a standard task where the position of the stimulus cued the response; a non-standard task where the color of the stimulus was related to the correct response; and a combined task where both the color and position simultaneously cued the response. We refer to each of these tasks based upon the cues available for guiding learning as position, color and combined tasks. The combined task usually shows an enhancement of skill acquisition, a result of being driven by two simultaneous and congruent cues. Prior to the performance of each of these tasks the function of the dorsolateral prefrontal cortex was disrupted using repetitive transcranial magnetic stimulation. This completely prevented learning within the position task, while sequence learning occurred to a similar extent in both the color and combined tasks. So, following prefrontal stimulation the expected learning enhancement in the combined task was lost, consistent with only a color cue being available to guide sequence learning in the combined task. Neither of these effects was observed following stimulation at the parietal cortex. Hence the critical role played by the dorsolateral prefrontal cortex in sequence learning is related exclusively to spatial cues. We suggest that the dorsolateral prefrontal cortex operates over the short term to retain and manipulate spatial information to allow cortical and subcortical structures to learn a predictable sequence of actions. Such functions may emerge from the broader role the dorsolateral prefrontal cortex has in spatial working memory. These results argue against the dorsolateral prefrontal cortex constituting part of the neuronal substrate responsible for general aspects of implicit or explicit sequence learning.Medicin

The Learning of Mind Mapping in Higher Education: A Comparative Study Between Universidad de Córdoba and Università di Roma-La Sapienza

In this paper we propose Mind Mapping as a technique which enhances holistic learning or whole brain learning in higher education. The dynamics performed in the learning and application of Mind Mapping is part of a participatory approach in the classroom as an element of the learning process. The research approach follows a quantitative methodology. The results reflect the views of students about the learning of Mind Mapping and its effectiveness in the study. The findings indicate that mental maps can be used with any type of material, making it a tool applicable to any university degree course

Integrating geographic data and the SCS-CN method with LSTM networks for enhanced runoff forecasting in a complex mountain basin

IntroductionIn complex mountain basins, hydrological forecasting poses a formidable challenge due to the intricacies of runoff generation processes and the limitations of available data. This study explores the enhancement of short-term runoff forecasting models through the utilization of long short-term memory (LSTM) networks.MethodsTo achieve this, we employed feature engineering (FE) strategies, focusing on geographic data and the Soil Conservation Service Curve Number (SCS-CN) method. Our investigation was conducted in a 3,390 km2 basin, employing the GSMaP-NRT satellite precipitation product (SPP) to develop forecasting models with lead times of 1, 6, and 11 h. These lead times were selected to address the needs of near-real-time forecasting, flash flood prediction, and basin concentration time assessment, respectively.Results and discussionOur findings demonstrate an improvement in the efficiency of LSTM forecasting models across all lead times, as indicated by Nash-Sutcliffe efficiency values of 0.93 (1 h), 0.77 (6 h), and 0.67 (11 h). Notably, these results are on par with studies relying on ground-based precipitation data. This methodology not only showcases the potential for advanced data-driven runoff models but also underscores the importance of incorporating available geographic information into precipitation-ungauged hydrological systems. The insights derived from this study offer valuable tools for hydrologists and researchers seeking to enhance the accuracy of hydrological forecasting in complex mountain basins

Improving electricity market price scenarios by means of forecasting factor models

In liberalized electricity markets, generation Companies must build an hourly bid that is sent to the market operator. The price at which the energy will be paid is unknown during the bidding process and has to be forecast. In this work we apply forecasting factor models to this framework and study its suitability

Interindividual variability of the modulatory effects of repetitive transcranial magnetic stimulation on cortical excitability

Repetitive transcranial magnetic stimulation (rTMS) appears to have effects on cortical excitability that extend beyond the train of rTMS itself. These effects may be inhibitory or facilitatory and appear to depend on the frequency, intensity, duration and intertrain interval of the rTMS. Many studies assume facilitatory effects of high-frequency rTMS and inhibitory effects of low-frequency rTMS. Nevertheless, the interindividual variability of this modulation of cortical excitability by rTMS has not been systematically investigated. In this study, we applied 240 pulses of rTMS at 90% of the subjects' motor threshold to their motor cortex at different frequencies (1, 10, 15 and 20 Hz) and examined the effects on motor evoked potentials (frequency tuning curve). Although the averaged group data showed a frequency-dependent increase in cortical excitability, each subject had a different pattern of frequency tuning curve, i.e. a different modulatory effect on cortical excitability at different rTMS frequencies. The interindividual variability of these modulatory effects was still high, though less so, when the number of rTMS pulses was increased to 1600. These findings illustrate the degree of variability of the rTMS effects in the human brain.Supported in part by grants from the Cellular Science Research Foundation, Yoshida Science Foundation, Japan North America Medical Exchange Foundation, the Stanley Vada Foundation, the National Alliance for Research and Schizophrenia and Depression, and the National Institute of Mental Health (RO1MH57980)Medicin

La relación entre la experiencia de la atención sanitaria y la depresión perinatal durante la pandemia COVID-19

Background: The prevalence of peripartum depression (PPD) has increased substantially since the start of the COVID-19 pandemic. To reduce the probability of contagion, hospitals had to adapt their care protocols, including the care of women in the perinatal period. Method: A cross-sectional study was used in a total sample of 3,356 women, 1,402 in the prenatal period and 1,954 in the postnatal period. They completed the Edinburgh Postnatal Depression Scale to assess depressive symptoms and the Spanish version of the Coronavirus Perinatal Experiences to assess health experience. Results: The results showed that feeling very well supported by a health professional was associated with a lower risk of PPD. On the other hand, believing it very important to have access to a mental health professional and being concerned about changes in infant care due to COVID-19 were associated with a higher risk of PPD. Conclusion: The results showed the relationship between health experience and the risk of depressive symptoms, highlighting the importance of considering the psychological aspects in the development of measures and protocols for perinatal care.Antecedentes: La prevalencia de la depresión perinatal ha aumentado sustancialmente desde el inicio de la pandemia debido al coronavirus (COVID-19). Para reducir la probabilidad de contagio, los hospitales tuvieron que adaptar sus protocolos asistenciales, incluyendo la atención a las mujeres en el periodo perinatal. Método: Se utilizó un estudio transversal en una muestra total de 3,356 mujeres, 1,402 en el período prenatal y 1,954 en el período postnatal. Cumplimentaron la Escala de Depresión Postnatal de Edimburgo para evaluar los síntomas depresivos y la versión española de la Encuesta sobre Experiencias Perinatales durante el Coronavirus para evaluar la experiencia de la atención sanitaria. Resultados. Los resultados mostraron que sentirse muy bien apoyada por un profesional de la salud se asoció con un menor riesgo de desarrollar depresión perinatal. Por otro lado, creer que es muy importante tener acceso a un profesional de la salud mental y estar preocupada por los cambios en el cuidado del bebé debido al COVID-19 se asociaron con un mayor riesgo de depresión perinatal. Conclusión: Los resultados mostraron la relación entre la experiencia sanitaria y el riesgo de síntomas depresivos, destacando la importancia de considerar los aspectos psicológicos en el desarrollo de medidas y protocolos de atención perinatal