207 research outputs found

    Estudio de la gestión del resultado de las empresas públicas de la Comunidad Autónoma de Aragón

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    Este trabajo analiza la gestión del resultado o manipulación contable en las empresas públicas aragonesas. Nuestros resultados, basados en una muestra de 28 empresas, para el periodo de 2010 y 2011, muestran que, frente a un cambio de escenario político mediante el cual existe una amenaza factible de reducción del número de empresas públicas, los gestores de las mismas maquillan sus cuentas para mejorar sus resultados económicos

    Engineering Transport in Manganites by Tuning Local Non-Stoichiometry in Grain Boundaries

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    Interface-dominated materials such as nanocrystalline thin films have emerged as an enthralling class of materials able to engineer functional properties of transition metal oxides widely used in energy and information technologies. In particular, it has been proved that strain-induced defects in grain boundaries of manganites deeply impact their functional properties by boosting their oxygen mass transport while abating their electronic and magnetic order. In this work, the origin of these dramatic changes is correlated for the first time with strong modifications of the anionic and cationic composition in the vicinity of strained grain boundary regions. We are also able to alter the grain boundary composition by tuning the overall cationic content in the films, which represents a new and powerful tool, beyond the classical space charge layer effect, for engineering electronic and mass transport properties of metal oxide thin films useful for a collection of relevant solid state devices

    Cirugía mínimamente invasiva de estrabismo modificada

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    Introducción: La cirugía mínimamente invasiva de estrabismo ha revolucionado el concepto de la cirugía tradicional de estrabismo. Este procedimiento se realiza con mínima disrupción anatómica entre el músculo y el tejido perimuscular. Objetivo: Describir una propuesta de modificación a la técnica de cirugía mínimamente invasiva de estrabismo. Métodos: Se revisó la literatura en español e inglés, sin restricciones de fecha, para investigar modificaciones reportadas a la técnica de cirugía mínimamente invasiva de estrabismo. En las modificaciones revisadas, coexiste la posibilidad de que ocurra la complicación de músculo deslizado o músculo perdido. Para realizar una técnica quirúrgica segura se identificaron los aspectos que pueden influir en esta, que son el agarre muscular y su fijación escleral, sin ampliar las microincisiones. Resultados: En la técnica modificada se emplearon pinzas curvas de Moody-Castroviejo, para ampliar el campo operatorio. Se utilizó una sola sutura no reabsorbible de ácido poliglicólico para el agarre muscular; se pasa primero por el espesor muscular y después por los extremos superior e inferior de la inserción muscular, lo cual ofrece seguridad al procedimiento. Se propone el uso del Dardenne, instrumento oftalmológico utilizado en la realización de pupiloplastias, para traer el extremo opuesto de la sutura y realizar un nudo de Siepser; al cortar la sutura, quedan los cabos por debajo del túnel conjuntival, sin ampliar las microincisiones. Conclusiones: Las modificaciones a la técnica de cirugía mínimamente invasiva de estrabismo, que propone este trabajo, permiten mejor agarre y fijación del músculo

    Integrating artificial intelligence to assess emotions in learning environments: a systematic literature review

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    IntroductionArtificial Intelligence (AI) is transforming multiple sectors within our society, including education. In this context, emotions play a fundamental role in the teaching-learning process given that they influence academic performance, motivation, information retention, and student well-being. Thus, the integration of AI in emotional assessment within educational environments offers several advantages that can transform how we understand and address the socio-emotional development of students. However, there remains a lack of comprehensive approach that systematizes advancements, challenges, and opportunities in this field.AimThis systematic literature review aims to explore how artificial intelligence (AI) is used to evaluate emotions within educational settings. We provide a comprehensive overview of the current state of research, focusing on advancements, challenges, and opportunities in the domain of AI-driven emotional assessment within educational settings.MethodThe review involved a search across the following academic databases: Pubmed, Web of Science, PsycINFO and Scopus. Forty-one articles were selected that meet the established inclusion criteria. These articles were analyzed to extract key insights related to the integration of AI and emotional assessment within educational environments.ResultsThe findings reveal a variety of AI-driven approaches that were developed to capture and analyze students’ emotional states during learning activities. The findings are summarized in four fundamental topics: (1) emotion recognition in education, (2) technology integration and learning outcomes, (3) special education and assistive technology, (4) affective computing. Among the key AI techniques employed are machine learning and facial recognition, which are used to assess emotions. These approaches demonstrate promising potential in enhancing pedagogical strategies and creating adaptive learning environments that cater to individual emotional needs. The review identified emerging factors that, while important, require further investigation to understand their relationships and implications fully. These elements could significantly enhance the use of AI in assessing emotions within educational settings. Specifically, we are referring to: (1) federated learning, (2) convolutional neural network (CNN), (3) recurrent neural network (RNN), (4) facial expression databases, and (5) ethics in the development of intelligent systems.ConclusionThis systematic literature review showcases the significance of AI in revolutionizing educational practices through emotion assessment. While advancements are evident, challenges related to accuracy, privacy, and cross-cultural validity were also identified. The synthesis of existing research highlights the need for further research into refining AI models for emotion recognition and emphasizes the importance of ethical considerations in implementing AI technologies within educational contexts

    Effect of viral storm in patients admitted to intensive care units with severe COVID-19 in Spain: a multicentre, prospective, cohort study

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    Background: The contribution of the virus to the pathogenesis of severe COVID-19 is still unclear. We aimed to evaluate associations between viral RNA load in plasma and host response, complications, and deaths in critically ill patients with COVID-19. Methods: We did a prospective cohort study across 23 hospitals in Spain. We included patients aged 18 years or older with laboratory-confirmed SARS-CoV-2 infection who were admitted to an intensive care unit between March 16, 2020, and Feb 27, 2021. RNA of the SARS-CoV-2 nucleocapsid region 1 (N1) was quantified in plasma samples collected from patients in the first 48 h following admission, using digital PCR. Patients were grouped on the basis of N1 quantity: VIR-N1-Zero (2747 N1 copies per mL). The primary outcome was all-cause death within 90 days after admission. We evaluated odds ratios (ORs) for the primary outcome between groups using a logistic regression analysis. Findings: 1068 patients met the inclusion criteria, of whom 117 had insufficient plasma samples and 115 had key information missing. 836 patients were included in the analysis, of whom 403 (48%) were in the VIR-N1-Low group, 283 (34%) were in the VIR-N1-Storm group, and 150 (18%) were in the VIR-N1-Zero group. Overall, patients in the VIR-N1-Storm group had the most severe disease: 266 (94%) of 283 patients received invasive mechanical ventilation (IMV), 116 (41%) developed acute kidney injury, 180 (65%) had secondary infections, and 148 (52%) died within 90 days. Patients in the VIR-N1-Zero group had the least severe disease: 81 (54%) of 150 received IMV, 34 (23%) developed acute kidney injury, 47 (32%) had secondary infections, and 26 (17%) died within 90 days (OR for death 0·30, 95% CI 0·16-0·55; p<0·0001, compared with the VIR-N1-Storm group). 106 (26%) of 403 patients in the VIR-N1-Low group died within 90 days (OR for death 0·39, 95% CI 0·26-0·57; p<0·0001, compared with the VIR-N1-Storm group). Interpretation: The presence of a so-called viral storm is associated with increased all-cause death in patients admitted to the intensive care unit with severe COVID-19. Preventing this viral storm could help to reduce poor outcomes. Viral storm could be an enrichment marker for treatment with antivirals or purification devices to remove viral components from the blood.This work was supported by grants from the Instituto de Salud Carlos III (FONDO-COVID19, COV20/00110, CIBERES, 06/06/0028; AT), Proyectos de Investigación en Salud (PI19/00590; JFB-M), Miguel Servet (CP20/00041; DdG-C), Sara Borrell (CD018/0123; APT), and Predoctorales de Formación en Investigación en Salud (FI20/00278; AdF). We also received funds from Programa de Donaciones Estar Preparados, UNESPA (Madrid, Spain), and from the Canadian Institutes of Health Research (CIHR OV2–170357; DJK and JFB-M), Research Nova Scotia, Li-Ka Shing Foundation (DJK), and finally by a Research Grant 2020 from ESCMID (APT). COV20/00110, PI19/00590, CP20/00041, CD018/0123, FI20/00278 were co-funded by European Regional Development Fund and European Social Fund (A way to make Europe, and Investing in your future). We thank the IRB-Lleida Biobank 119 (B.0000682) and Plataforma Biobancos PT17/0015/0027 in Lleida, the Hospital Clinic Barcelona (HCB)-IDIBAPS biobank in Barcelona, and the National DNA Bank and the Hospital Universitario de Salamanca biobank (both in Salamanca) for their logistical support with sample processing and storage. We are indebted to the Fundació Glòria Soler for its contribution and support to the COVIDBANK of HCBIDIBAPS Biobank. This work was not supported by any pharmaceutical company or other agency.S

    Predictors of Loss of Functional Independence in Parkinson’s Disease: Results from the COPPADIS Cohort at 2-Year Follow-Up and Comparison with a Control Group

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    COPPADIS Study Group.[Background and objective] The aim of this study was to compare the progression of independence in activities of daily living (ADL) in Parkinson’s disease (PD) patients versus a control group, as well as to identify predictors of disability progression and functional dependency (FD).[Patients and Methods] PD patients and control subjects, who were recruited from 35 centers of Spain from the COPPADIS cohort between January 2016 and November 2017 (V0), were included. Patients and subjects were then evaluated again at the 2-year follow-up (V2). Disability was assessed with the Schwab & England Activities of Daily Living Scale (S&E-ADLS) at V0 and V2. FD was defined as an S&E-ADLS score less than 80%.[Results] In the PD group, a significant decrease in the S&E-ADLS score from V0 to V2 (N = 507; from 88.58 ± 10.19 to 84.26 ± 13.38; p < 0.0001; Cohen’s effect size = −0.519) was observed but not in controls (N = 124; from 98.87 ± 6.52 to 99.52 ± 2.15; p = 0.238). When only patients considered functional independent at baseline were included, 55 out of 463 (11.9%) converted to functional dependent at V2. To be a female (OR = 2.908; p = 0.009), have longer disease duration (OR = 1.152; p = 0.002), have a non-tremoric motor phenotype at baseline (OR = 3.574; p = 0.004), have a higher score at baseline in FOGQ (OR = 1.244; p < 0.0001) and BDI-II (OR = 1.080; p = 0.008), have a lower score at baseline in PD-CRS (OR = 0.963; p = 0.008), and have a greater increase in the score from V0 to V2 in UPDRS-IV (OR = 1.168; p = 0.0.29), FOGQ (OR = 1.348; p < 0.0001) and VAFS-Mental (OR = 1.177; p = 0.013) (adjusted R-squared 0.52; Hosmer and Lemeshow test = 0.94) were all found to be independent predictors of FD at V2.[Conclusions] In conclusion, autonomy for ADL worsens in PD patients compared to controls. Cognitive impairment, gait problems, fatigue, depressive symptoms, more advanced disease, and a non-tremor phenotype are independent predictors of FD in the short-term.Fundación Curemos el Parkinson (www.curemoselparkinson.org).Peer reviewe

    Minecraft para diseños HDL: flujo de síntesis de Verilog para circuitos de redstone

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    Memoria ID-076. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2019-2020.[ES]El objetivo de este proyecto es crear un espacio virtual mediante la utilización de tecnología Minecraft que permita al estudiante aumentar el contenido académico relacionado con los conocimientos impartidos en las distintas ramas de las asignaturas de electrónica-física de la Universidad de Salamanca

    Predictors of Global Non-Motor Symptoms Burden Progression in Parkinson’s Disease. Results from the COPPADIS Cohort at 2-Year Follow-Up

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    COPPADIS Study Group.[Background and Objective] Non-motor symptoms (NMS) progress in different ways between Parkinson’s disease (PD) patients. The aim of the present study was to (1) analyze the change in global NMS burden in a PD cohort after a 2-year follow-up, (2) to compare the changes with a control group, and (3) to identify predictors of global NMS burden progression in the PD group.[Material and Methods] PD patients and controls, recruited from 35 centers of Spain from the COPPADIS cohort from January 2016 to November 2017, were followed-up with after 2 years. The Non-Motor Symptoms Scale (NMSS) was administered at baseline (V0) and at 24 months ± 1 month (V2). Linear regression models were used for determining predictive factors of global NMS burden progression (NMSS total score change from V0 to V2 as dependent variable).[Results] After the 2-year follow-up, the mean NMS burden (NMSS total score) significantly increased in PD patients by 18.8% (from 45.08 ± 37.62 to 53.55 ± 42.28; p < 0.0001; N = 501; 60.2% males, mean age 62.59 ± 8.91) compared to no change observed in controls (from 14.74 ± 18.72 to 14.65 ± 21.82; p = 0.428; N = 122; 49.5% males, mean age 60.99 ± 8.32) (p < 0.0001). NMSS total score at baseline (β = −0.52), change from V0 to V2 in PDSS (Parkinson’s Disease Sleep Scale) (β = −0.34), and change from V0 to V2 in NPI (Neuropsychiatric Inventory) (β = 0.25) provided the highest contributions to the model (adjusted R-squared 0.41; Durbin-Watson test = 1.865).[Conclusions] Global NMS burden demonstrates short-term progression in PD patients but not in controls and identifies worsening sleep problems and neuropsychiatric symptoms as significant independent predictors of this NMS progression.This research was funded by Fundación Española de Ayuda a la Investigación en Parkinson y otras Enfermedades Neuro-degenerativas (Curemos el Parkinson; www.curemoselparkinson.org).Peer reviewe
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