Designing an Exascale Interconnect using Multi-objective Optimization

Exascale performance will be delivered by systems composed of millions of interconnected computing cores. The way these computing elements are connected with each other (network topology) has a strong impact on many performance characteristics. In this work we propose a multi-objective optimizationbased framework to explore possible network topologies to be implemented in the EU-funded ExaNeSt project. The modular design of this system’s interconnect provides great flexibility to design topologies optimized for specific performance targets such as communications locality, fault tolerance or energyconsumption. The generation procedure of the topologies is formulated as a three-objective optimization problem (minimizing some topological characteristics) where solutions are searched using evolutionary techniques. The analysis of the results, carried out using simulation, shows that the topologies meet the required performance objectives. In addition, a comparison with a well-known topology reveals that the generated solutions can provide better topological characteristics and also higher performance for parallel applications

Enabling Shared Memory Communication in Networks of MPSoCs

Ongoing transistor scaling and the growing complexity of embedded system designs has led to the rise of MPSoCs (Multi‐Processor System‐on‐Chip), combining multiple hard‐core CPUs and accelerators (FPGA, GPU) on the same physical die. These devices are of great interest to the supercomputing community, who are increasingly reliant on heterogeneity to achieve power and performance goals in these closing stages of the race to exascale. In this paper, we present a network interface architecture and networking infrastructure, designed to sit inside the FPGA fabric of a cutting‐edge MPSoC device, enabling networks of these devices to communicate within both a distributed and shared memory context, with reduced need for costly software networking system calls. We will present our implementation and prototype system and discuss the main design decisions relevant to the use of the Xilinx Zynq Ultrascale+, a state‐of‐the‐art MPSoC, and the challenges to be overcome given the device's limitations and constraints. We demonstrate the working prototype system connecting two MPSoCs, with communication between processor and remote memory region and accelerator. We then discuss the limitations of the current implementation and highlight areas of improvement to make this solution production‐ready

Chronological age interacts with the circadian melatonin receptor 1b gene variation, determining fasting glucose concentrations in mediterranean populations. Additional analyses on type-2 diabetes risk

Gene-age interactions have not been systematically investigated on metabolic phenotypes and this modulation will be key for a better understanding of the temporal regulation in nutrigenomics. Taking into account that aging is typically associated with both impairment of the circadian system and a decrease in melatonin secretion, we focused on the melatonin receptor 1B (MTNR1B)-rs10830963 C>G variant that has been associated with fasting glucose concentrations, gestational diabetes, and type-2 diabetes. Therefore, our main aim was to investigate whether the association between the MTNR1B-rs10830963 polymorphism and fasting glucose is age dependent. Our secondary aims were to analyze the polymorphism association with type-2 diabetes and explore the gene-pregnancies interactions on the later type-2 diabetes risk. Three Mediterranean cohorts (n = 2823) were analyzed. First, a cross-sectional study in the discovery cohort consisting of 1378 participants (aged 18 to 80 years; mean age 41 years) from the general population was carried out. To validate and extend the results, two replication cohorts consisting of elderly individuals were studied. In the discovery cohort, we observed a strong gene-age interaction (p = 0.001), determining fasting glucose in such a way that the increasing effect of the risk G-allele was much greater in young (p = 5.9 × 10−10) than in elderly participants (p = 0.805). Consistently, the association of the MTNR1B-rs10830963 polymorphism with fasting glucose concentrations in the two replication cohorts (mean age over 65 years) did not reach statistical significance (p > 0.05 for both). However, in the elderly cohorts, significant associations between the polymorphism and type-2 diabetes at baseline were found. Moreover, in one of the cohorts, we obtained a statistically significant interaction between the MTNR1B polymorphism and the number of pregnancies, retrospectively assessed, on the type-2 diabetes risk. In conclusion, the association of the MTNR1B-rs10830963 polymorphism with fasting glucose is age-dependent, having a greater effect in younger people. However, in elderly subjects, associations of the polymorphism with type-2 diabetes were observed and our exploratory analysis suggested a modulatory effect of the number of past pregnancies on the future type-2 diabetes genetic risk

Chronological Age Interacts with the Circadian Melatonin Receptor 1B Gene Variation, Determining Fasting Glucose Concentrations in Mediterranean Populations. Additional Analyses on Type-2 Diabetes Risk

Gene-age interactions have not been systematically investigated on metabolic phenotypes and this modulation will be key for a better understanding of the temporal regulation in nutrigenomics. Taking into account that aging is typically associated with both impairment of the circadian system and a decrease in melatonin secretion, we focused on the melatonin receptor 1B (MTNR1B)-rs10830963 C>G variant that has been associated with fasting glucose concentrations, gestational diabetes, and type-2 diabetes. Therefore, our main aim was to investigate whether the association between the MTNR1B-rs10830963 polymorphism and fasting glucose is age dependent. Our secondary aims were to analyze the polymorphism association with type-2 diabetes and explore the gene-pregnancies interactions on the later type-2 diabetes risk. Three Mediterranean cohorts (n = 2823) were analyzed. First, a cross-sectional study in the discovery cohort consisting of 1378 participants (aged 18 to 80 years; mean age 41 years) from the general population was carried out. To validate and extend the results, two replication cohorts consisting of elderly individuals were studied. In the discovery cohort, we observed a strong gene-age interaction (p = 0.001), determining fasting glucose in such a way that the increasing effect of the risk G-allele was much greater in young (p = 5.9 × 10-10) than in elderly participants (p = 0.805). Consistently, the association of the MTNR1B-rs10830963 polymorphism with fasting glucose concentrations in the two replication cohorts (mean age over 65 years) did not reach statistical significance (p > 0.05 for both). However, in the elderly cohorts, significant associations between the polymorphism and type-2 diabetes at baseline were found. Moreover, in one of the cohorts, we obtained a statistically significant interaction between the MTNR1B polymorphism and the number of pregnancies, retrospectively assessed, on the type-2 diabetes risk. In conclusion, the association of the MTNR1B-rs10830963 polymorphism with fasting glucose is age-dependent, having a greater effect in younger people. However, in elderly subjects, associations of the polymorphism with type-2 diabetes were observed and our exploratory analysis suggested a modulatory effect of the number of past pregnancies on the future type-2 diabetes genetic risk

Shared decision making with schizophrenic patients: a randomized controlled clinical trial with booster sessions (DECIDE Study)

Background: The treatment of schizophrenia requires a prolonged, multidimensional intervention that includes antipsychotic drugs. Treatment adherence is essential to effectively control the disorder. Shared decision-making (SDM) is a strategy, supported by numerous practical and ethical arguments, that seeks to involve patients in the therapeutic process to improve treatment adherence and satisfaction. The use of this model in mental health has been limited for many intrinsic and extrinsic reasons. The results of clinical trials conducted to date have largely been disappointing, potential due to study design-related limitations. Aim/Question: To evaluate the efficacy, in terms of treatment adherence and improvement in clinical variables, such as severity of symptoms, days of hospitalization or insight, of a carefully timed SDM model initiated immediately prior to hospital discharge in patients with schizophrenia. Methods: Single-blind, randomized clinical trial in an acute psychiatric care unit within the Andalusian Health Department to compare SDM (experimental group) to treatment as usual (TAU; control group) in a sample of patients hospitalized for an acute episode of schizophrenia or schizoaffective disorder. The study was performed between January 2014 and June 2017. The experimental group participated in SDM sessions prior to discharge with regular booster sessions over the one-year follow-up. The health care team responsible for SDM was predisposed to concordance (LatCon II scale) and received specific training in SDM. A hierarchical multiple linear regression analysis was performed to evaluate the factors independently associated with adherence, controlling for sociodemographic, clinical, and admission-related variables. Variables were assessed at admission, discharge and at 3, 6 and 12 months after discharge during the one year follow up. BARS, DAI, WAI-S, COMRADE and PANSS were used to evaluate adherence, attitude to treatment, therapeutic alliance, satisfaction and confidence with decision and clinical status, respectively. Results: A total of 227 schizophrenic patients hospitalized with acute decompensation were evaluated; of these, 102 met all inclusion criteria and were included in the study. Most patients (95%) had prior experience with antipsychotics and most (82%) had experienced related side effects. Despite randomization, psychopathologic severity was greater in the experimental group, with a mean (SD) PANSS score of 104.08 (80) vs. 93.45 (20.30) (p < 0.05). The final regression model to explain adherence was significant (adjusted R2 = 0.384; F [df= 6] = 4.386; p < 0.001), with a direct, significant and independent association with SDM mediated by the number of booster sessions. Discussion: Shared decision making with booster sessions appears to increase treatment adherence in patients with severe mental disorders. Implication on practice: Ethical, practical, and clinical reasons support the use of strategies designed promote the use of long-term, shared decision-making in psychiatric patients, especially in schizophrenia spectrum disorder. Background: Adherence is essential for the successful treatment of schizophrenia. Shared decision making is a strategy that aims to involve patients in the treatment process to improve satisfaction with treatment. However, the evidence to support this approach remains inconclusive. Aim/Question: To assess the efficacy, in terms of treatment adherence and clinical variables, of a shared decision-making approach initiated immediately prior to hospital discharge and at regular intervals during one-year follow-up in patients with schizophrenia. Methods: Single-blind randomized clinical trial with in an acute psychiatric care unit within the Andalusian Health Department, with booster sessions at months 3, 6, and 12 during the follow-up. A hierarchical multiple linear regression was performed to assess adherence, controlling for sociodemographic, clinical, and admission-related variables, and the application or not of shared decision-making. Results: 102 patients with acute decompensation were included. Despite randomization, psychopathologic severity was greater in the experimental group, with a mean (SD) PANSS score of 104.08 (80) vs. 93.45 (20.30) (p < 0.05). The final explanatory adherence model was significant (adjusted R2 = 0.384; F [df = 16] = 4.386; p < 0.001), with a significant and independent association of shared decision-making mediated by the number of booster sessions applied. Conclusions: The application of shared decision making with booster sessions appears to increase the likelihood of treatment adherence in schizophrenia spectrum disorder. © 2023 The Author

Puesta en marcha y coordinación del Máster en Optometría Avanzada y Salud Visual

Durante el curso 2015-2016 se va a implantar, en la Universidad de Alicante, el máster en Optometría Avanzada y Salud Visual, que fue aprobado por la ANECA en diciembre del 2014. Con el fin de coordinar las actividades docentes de cada una de las asignaturas del máster y dentro del Proyecto de Redes de Investigación en Docencia Universitaria 2014-2015, se ha creado una red formada por todos los profesores coordinadores de las asignaturas que constituyen el plan de estudios y que han participado en la realización de la memoria de dicho máster. En esta red se pretende la coordinación entre todas las asignaturas para organizar y desarrollar sus actividades con el fin de conseguir una buena distribución de la carga docente y un mejor aprovechamiento por parte del alumno de la docencia recibida. Por otra parte, dado que en este máster participan varias empresas del sector óptico y clínicas oftalmológicas es necesario determinar qué actividades propuestas por las empresas y clínicas se van a incluir en cada asignatura y planificarlas adecuadamente

Trabajo de coordinación para la implantación del Máster en Optometría Avanzada y Salud Visual

Durante el curso 2013-2014 la Universidad de Alicante ha propuesto la implantación del Master en Optometría Avanzada y Salud Visual, dicha solicitud está siendo actualmente evaluada por la ANECA. Con el fin de coordinar la docencia de este Máster y dentro del Proyecto de Redes de Investigación en Docencia Universitaria 2013-2014, se ha creado una red formada por todos los profesores que han participado en la elaboración del plan de estudios. En esta red esta red se pretende la coordinación entre las distintas asignaturas para elaborar las guías docentes a partir de los datos de las fichas enviadas a la ANECA. Por otra parte también se ha modificado la memoria atendiendo a las alegaciones realizadas por la ANECA. Y se han desarrollado los contenidos, la metodología de las distintas actividades propuestas con el fin de asegurar la consecución de las competencias previstas

Puesta en marcha del Máster en Optometría Avanzada y Salud Visual

El Máster en Optometría Avanzada y Salud Visual de la Universidad de Alicante pretende ampliar los conocimientos de los graduados en Óptica y Optometría y mostrar los nuevos avances en las materias de la Óptica y Optometría. Para ello se ha diseñado un máster formado por una gran cantidad de asignaturas tanto obligatorias como optativas. Con el fin de analizar el primer año de funcionamiento de éste máster se plantea una red que permita evaluar los resultados y el grado de satisfacción de alumnos, profesores y demás participantes, así como plantear posibles mejoras Con este fin se han realizado reuniones con los miembros de la red en las que se han elaborado las herramientas que permitan analizar el primer año del Máster en Optometría Avanzada y Salud Visual, concretamente se han diseñado encuestas para los alumnos para cada una de las asignaturas, tanto de primer como de segundo cuatrimestre y cuyos resultados serán evaluados a lo largo de la red

Seguimiento del Máster en Optometría Avanzada y Salud Visual

Durante el curso 2015-16 se ha implantado en la Universidad de Alicante el Máster en Optometría Avanzada y Salud Visual. Dicho máster pretende ampliar los conocimientos de los graduados en Óptica y Optometría y mostrar los nuevos avances en las materias de la Óptica y Optometría. Por ello se ha desarrollado un plan de estudios con una gran cantidad de asignaturas, tanto obligatorias como optativas. Con el fin de analizar el primer año de funcionamiento de éste máster se plantea una red que permita evaluar los resultados y el grado de satisfacción de alumnos, profesores y demás participantes, así como plantear posibles mejoras. Con este fin se han realizado reuniones con los miembros de la red en las que se han elaborado las herramientas que permitan analizar el primer año del Máster en Optometría Avanzada y Salud Visual. Concretamente se han diseñado encuestas para los alumnos y para cada una de las asignaturas, cuyos resultados han sido evaluados a lo largo de la red

Carbon dioxide (CO2) emissions and adherence to Mediterranean diet in an adult population: the Mediterranean diet index as a pollution level index

Background Research related to sustainable diets is is highly relevant to provide better understanding of the impact of dietary intake on the health and the environment. Aim To assess the association between the adherence to an energy-restricted Mediterranean diet and the amount of CO2 emitted in an older adult population. Design and population Using a cross-sectional design, the association between the adherence to an energy-reduced Mediterranean Diet (erMedDiet) score and dietary CO2 emissions in 6646 participants was assessed. Methods Food intake and adherence to the erMedDiet was assessed using validated food frequency questionnaire and 17-item Mediterranean questionnaire. Sociodemographic characteristics were documented. Environmental impact was calculated through greenhouse gas emissions estimations, specifically CO2 emissions of each participant diet per day, using a European database. Participants were distributed in quartiles according to their estimated CO2 emissions expressed in kg/day: Q1 (= 2.80 kg CO2). Results More men than women induced higher dietary levels of CO2 emissions. Participants reporting higher consumption of vegetables, fruits, legumes, nuts, whole cereals, preferring white meat, and having less consumption of red meat were mostly emitting less kg of CO2 through diet. Participants with higher adherence to the Mediterranean Diet showed lower odds for dietary CO2 emissions: Q2 (OR 0.87; 95%CI: 0.76-1.00), Q3 (OR 0.69; 95%CI: 0.69-0.79) and Q4 (OR 0.48; 95%CI: 0.42-0.55) vs Q1 (reference). Conclusions The Mediterranean diet can be environmentally protective since the higher the adherence to the Mediterranean diet, the lower total dietary CO2 emissions. Mediterranean Diet index may be used as a pollution level index