Monitoring and Fault Location Sensor Network for Underground Distribution Lines

One of the fundamental tasks of electric distribution utilities is guaranteeing a continuous supply of electricity to their customers. The primary distribution network is a critical part of these facilities because a fault in it could affect thousands of customers. However, the complexity of this network has been increased with the irruption of distributed generation, typical in a Smart Grid and which has significantly complicated some of the analyses, making it impossible to apply traditional techniques. This problem is intensified in underground lines where access is limited. As a possible solution, this paper proposes to make a deployment of a distributed sensor network along the power lines. This network proposes taking advantage of its distributed character to support new approaches of these analyses. In this sense, this paper describes the aquiculture of the proposed network (adapted to the power grid) based on nodes that use power line communication and energy harvesting techniques. In this sense, it also describes the implementation of a real prototype that has been used in some experiments to validate this technological adaptation. Additionally, beyond a simple use for monitoring, this paper also proposes the use of this approach to solve two typical distribution system operator problems, such as: fault location and failure forecasting in power cables.Ministerio de Economía y Competitividad, Government of Spain project Sistema Inteligente Inalámbrico para Análisis y Monitorización de Líneas de Tensión Subterráneas en Smart Grids (SIIAM) TEC2013-40767-RMinisterio de Educación, Cultura y Deporte, Government of Spain, for the funding of the scholarship Formación de Profesorado Universitario 2016 (FPU 2016

A multirobot platform based on autonomous surface and underwater vehicles with bio-inspired neurocontrollers for long-term oil spills monitoring

This paper describes the BUSCAMOS-Oil monitoring system, which is a robotic platform consisting of an autonomous surface vessel combined with an underwater vehicle. The system has been designed for the long-term monitoring of oil spills, including the search for the spill, and transmitting information on its location, extent, direction and speed. Both vehicles are controlled by two different types of bio-inspired neural networks: a Self-Organization Direction Mapping Network for trajectory generation and a Neural Network for Avoidance Behaviour for avoiding obstacles. The systems’ resilient capabilities are provided by bio-inspired algorithms implemented in a modular software architecture and controlled by redundant devices to give the necessary robustness to operate in the difficult conditions typically found in long-term oil-spill operations. The efficacy of the vehicles’ adaptive navigation system and long-term mission capabilities are shown in the experimental results.This work was partially supported by the BUSCAMOS Project (ref. 1003211003700) under the program DN8644 COINCIDENTE of the Spanish Defense Ministry, the “Research Programme for Groups of Scientific Excellence at Region of Murcia” of the Seneca Foundation (Agency for Science and Technology of the Region of Murcia-19895/GERM/15)”, and the Spanish Government’s cDrone (ref. TIN2013-45920-R) and ViSelTR (ref. TIN2012-39279) projects

Comprehensive framework for the development of control and navigation systems of autonomous underwater vehicles: the mission-sicuva project

This paper presents an overview of coordinated project MISSION-SICUVA, and the results achieved at its recent completion. A prototype of UUV has been built with an orientation to oceanographic research and test of new control algorithms. It consist of an underwater vehicle towing a surface buoy, with applications such as monitoring water quality, high resolution bathymetry of the seabed and its map projection. New biological inspired navigation algorithms have been implemented using a comprehensive component based development framework

Comprehensive framework for the development of control and navigation systems of autonomous underwater vehicles: the mission-sicuva project

Los resúmenes se publicarán e imprimirán en la revista Instrumentation Viewpoint: ISSN: 1886-4864 y se incluirán en los materiales de la conferencia. Los artículos completos se publicarán electrónicamente como actas de la conferencia.This paper presents an overview of coordinated project MISSION-SICUVA, and the results achieved at its recent completion. A prototype of UUV has been built with an orientation to oceanographic research and test of new control algorithms. It consist of an underwater vehicle towing a surface buoy, with applications such as monitoring water quality, high resolution bathymetry of the seabed and its map projection. New biological inspired navigation algorithms have been implemented using a comprehensive component based development framewo

Gestión activa de la demanda - casos de estudio: proyectos OPENADR4CHILE y G.R.A.C.I.O.S.A.

Actualmente, las Redes Eléctricas Inteligentes (Smart Grids) presentan una integración de recursos energéticos distribuidos (fundamentalmente renovables) cada vez mayor. Esta tendencia, unida a mayores exigencias de calidad de servicio, hacen esencial la inclusión de nuevos sistemas de gestión que garanticen su estabilidad e interoperabilidad. Una posible solución respondería al paradigma de gestión activa de la demanda (Demand-Side Management, DSM) donde el cliente ahora es un activo controlable. Este cambio beneficia a dos actores: A) las compañías eléctricas (Utilities), cuyo interés radica en un mecanismo de ajuste del consumo. B) los clientes: que persiguen la optimización energética y económica, pudiendo reducir y modificar su perfil de consumo. Ambos enfoques plantean estrategias Win-to-Win cliente/operador. Esta comunicación expone dos proyectos demostradores DSM reales, donde el TIC-150 ha colaborado activamente en su desarrollo con Endesa/Enel: 1) OpenADR4Chile: donde por parte de la utility se plantea una arquitectura OpenADR para la gestión de programas de capacidad. Adicionalmente, este trabajo se complementa con la creación un Living-Lab en la EPS. 2) G.R.A.C.I.O.S.A. donde la actividad del grupo se ha centrado en la definición/ implementación de una métrica o conjunto de indicadores clave de desempeño (KPIs) para la valoración de las políticas de gestión energética de los clientes.Nowadays, Smart Grids (SG) tend to incorporate distributed energy resources (mainly renewable) more and more. This tendency and the rising exigency level on service quality, make the inclusion of new management systems essential, to guarantee stability and interoperability. A possible solution could be reached applying the paradigm of Demand-Side Management (DSM), where customers become controllable actives. This change benefits both parts: A) Utilities, who interest is centered into consumption adjustment skills. B) Customers, who follow energy and economic optimization, being able to reduce and modify their consumption profile. Both points of view propose Win-to- Win strategies for customer/utility. This work shows two use-cases of DSM strategies in which the TIC-150 has collaborated actively in their developing with Endesa/Enel: 1) OpenADR4Chile: it proposes the use of and OpenADR architecture for capacity program management. This allowed also creating a Living-Lab in the Escuela Politécnica Superior. 2) G.R.A.C.I.O.S.A., in which the TIC-150 has defined/implemented a set of Key Performance Indicators (KPIs) to check and evaluate energy management politics applied by the customers.Ministerio de Educación, Cultura y Deporte (España) beca Formación Profesorado Universitario (FPU

Diseño del software de control de un UUV para monitorización oceanográfica usando un modelo de componentes y framework con despliegue flexible

Los vehículos submarinos no tripulados (Unmanned Underwater Vehicles, UUVs) se diseñan para misiones de monitorización, inspección e intervención. En estudios oceanográficos y de monitorización ambiental son cada vez más demandados por las innumerables ventajas que presentan con respecto a las tecnologías tradicionales. Estos vehículos son desarrollados para superar los retos científicos y los problemas de ingeniería que aparecen en el entorno no estructurado y hostil del fondo marino en el que operan. Su desarrollo no solo conlleva las mismas dificultades que el resto de los robots de servicio (heterogeneidad en el hardware, incertidumbre de los sistemas de medida, complejidad del software, etc.), sino que además se les unen las propias del dominio de aplicación, la robótica submarina: condiciones de iluminación, incertidumbre en cuanto a posición y velocidad, restricciones energéticas, etc. Este artículo describe el UUV AEGIR, un vehículo utilizado como banco de pruebas para la implementación de estrategias de control y misiones oceanográficas. También describe el desarrollo de una cadena de herramientas que sigue un enfoque dirigido por modelos, utilizada en el diseño del software de control del vehículo, así como un framework basado en componentes que proporciona el soporte de ejecución de la aplicación y permite su despliegue flexible en nodos, procesos e hilos y pre-verificación del comportamiento concurrente. Su diseño ha permitido desarrollar, comprobar y añadir los componentes que proporcionan el comportamiento necesario para que el UUV AEGIR pudiera completar con éxito distintos tipos de misiones oceanográficas.Este trabajo ha sido parcialmente financiado por el proyecto financiado por la CICYT del Gobierno Español DIVISAMOS (ref. DPI2009-14744-C03-02) y ViSelTR (ref. TIN2012-39279), así como por el proyecto financiado por la Fundación Séneca de la Región de Murcia MISSION-SICUVA (ref. 15374/PI/10) y el proyecto “Coastal Monitoring System for the Mar Menor Coastal Lagoon (PEPLAN 463.02-08 CLUSTER de la Región de Murcia. Francisco Sánchez Ledesma agradece la financiación recibida por parte del programa de becas FPU del MEC (beca AP2009-5083). Por último, los autores quieren agradecer también a la Armada Española la cesión del vehículo UUV y su posterior ayuda en su reconstrucción

Healthcare workers hospitalized due to COVID-19 have no higher risk of death than general population. Data from the Spanish SEMI-COVID-19 Registry

Aim To determine whether healthcare workers (HCW) hospitalized in Spain due to COVID-19 have a worse prognosis than non-healthcare workers (NHCW). Methods Observational cohort study based on the SEMI-COVID-19 Registry, a nationwide registry that collects sociodemographic, clinical, laboratory, and treatment data on patients hospitalised with COVID-19 in Spain. Patients aged 20-65 years were selected. A multivariate logistic regression model was performed to identify factors associated with mortality. Results As of 22 May 2020, 4393 patients were included, of whom 419 (9.5%) were HCW. Median (interquartile range) age of HCW was 52 (15) years and 62.4% were women. Prevalence of comorbidities and severe radiological findings upon admission were less frequent in HCW. There were no difference in need of respiratory support and admission to intensive care unit, but occurrence of sepsis and in-hospital mortality was lower in HCW (1.7% vs. 3.9%; p = 0.024 and 0.7% vs. 4.8%; p<0.001 respectively). Age, male sex and comorbidity, were independently associated with higher in-hospital mortality and healthcare working with lower mortality (OR 0.211, 95%CI 0.067-0.667, p = 0.008). 30-days survival was higher in HCW (0.968 vs. 0.851 p<0.001). Conclusions Hospitalized COVID-19 HCW had fewer comorbidities and a better prognosis than NHCW. Our results suggest that professional exposure to COVID-19 in HCW does not carry more clinical severity nor mortality

Treatment with tocilizumab or corticosteroids for COVID-19 patients with hyperinflammatory state: a multicentre cohort study (SAM-COVID-19)

Objectives: The objective of this study was to estimate the association between tocilizumab or corticosteroids and the risk of intubation or death in patients with coronavirus disease 19 (COVID-19) with a hyperinflammatory state according to clinical and laboratory parameters. Methods: A cohort study was performed in 60 Spanish hospitals including 778 patients with COVID-19 and clinical and laboratory data indicative of a hyperinflammatory state. Treatment was mainly with tocilizumab, an intermediate-high dose of corticosteroids (IHDC), a pulse dose of corticosteroids (PDC), combination therapy, or no treatment. Primary outcome was intubation or death; follow-up was 21 days. Propensity score-adjusted estimations using Cox regression (logistic regression if needed) were calculated. Propensity scores were used as confounders, matching variables and for the inverse probability of treatment weights (IPTWs). Results: In all, 88, 117, 78 and 151 patients treated with tocilizumab, IHDC, PDC, and combination therapy, respectively, were compared with 344 untreated patients. The primary endpoint occurred in 10 (11.4%), 27 (23.1%), 12 (15.4%), 40 (25.6%) and 69 (21.1%), respectively. The IPTW-based hazard ratios (odds ratio for combination therapy) for the primary endpoint were 0.32 (95%CI 0.22-0.47; p < 0.001) for tocilizumab, 0.82 (0.71-1.30; p 0.82) for IHDC, 0.61 (0.43-0.86; p 0.006) for PDC, and 1.17 (0.86-1.58; p 0.30) for combination therapy. Other applications of the propensity score provided similar results, but were not significant for PDC. Tocilizumab was also associated with lower hazard of death alone in IPTW analysis (0.07; 0.02-0.17; p < 0.001). Conclusions: Tocilizumab might be useful in COVID-19 patients with a hyperinflammatory state and should be prioritized for randomized trials in this situatio

Global disparities in surgeons’ workloads, academic engagement and rest periods: the on-calL shIft fOr geNEral SurgeonS (LIONESS) study

: The workload of general surgeons is multifaceted, encompassing not only surgical procedures but also a myriad of other responsibilities. From April to May 2023, we conducted a CHERRIES-compliant internet-based survey analyzing clinical practice, academic engagement, and post-on-call rest. The questionnaire featured six sections with 35 questions. Statistical analysis used Chi-square tests, ANOVA, and logistic regression (SPSS® v. 28). The survey received a total of 1.046 responses (65.4%). Over 78.0% of responders came from Europe, 65.1% came from a general surgery unit; 92.8% of European and 87.5% of North American respondents were involved in research, compared to 71.7% in Africa. Europe led in publishing research studies (6.6 ± 8.6 yearly). Teaching involvement was high in North America (100%) and Africa (91.7%). Surgeons reported an average of 6.7 ± 4.9 on-call shifts per month, with European and North American surgeons experiencing 6.5 ± 4.9 and 7.8 ± 4.1 on-calls monthly, respectively. African surgeons had the highest on-call frequency (8.7 ± 6.1). Post-on-call, only 35.1% of respondents received a day off. Europeans were most likely (40%) to have a day off, while African surgeons were least likely (6.7%). On the adjusted multivariable analysis HDI (Human Development Index) (aOR 1.993) hospital capacity &gt; 400 beds (aOR 2.423), working in a specialty surgery unit (aOR 2.087), and making the on-call in-house (aOR 5.446), significantly predicted the likelihood of having a day off after an on-call shift. Our study revealed critical insights into the disparities in workload, access to research, and professional opportunities for surgeons across different continents, underscored by the HDI

Canagliflozin and Cardiovascular and Renal Outcomes in Type 2 Diabetes Mellitus and Chronic Kidney Disease in Primary and Secondary Cardiovascular Prevention Groups

Background: Canagliflozin reduces the risk of kidney failure in patients with type 2 diabetes mellitus and chronic kidney disease, but effects on specific cardiovascular outcomes are uncertain, as are effects in people without previous cardiovascular disease (primary prevention). Methods: In CREDENCE (Canagliflozin and Renal Events in Diabetes With Established Nephropathy Clinical Evaluation), 4401 participants with type 2 diabetes mellitus and chronic kidney disease were randomly assigned to canagliflozin or placebo on a background of optimized standard of care. Results: Primary prevention participants (n=2181, 49.6%) were younger (61 versus 65 years), were more often female (37% versus 31%), and had shorter duration of diabetes mellitus (15 years versus 16 years) compared with secondary prevention participants (n=2220, 50.4%). Canagliflozin reduced the risk of major cardiovascular events overall (hazard ratio [HR], 0.80 [95% CI, 0.67-0.95]; P=0.01), with consistent reductions in both the primary (HR, 0.68 [95% CI, 0.49-0.94]) and secondary (HR, 0.85 [95% CI, 0.69-1.06]) prevention groups (P for interaction=0.25). Effects were also similar for the components of the composite including cardiovascular death (HR, 0.78 [95% CI, 0.61-1.00]), nonfatal myocardial infarction (HR, 0.81 [95% CI, 0.59-1.10]), and nonfatal stroke (HR, 0.80 [95% CI, 0.56-1.15]). The risk of the primary composite renal outcome and the composite of cardiovascular death or hospitalization for heart failure were also consistently reduced in both the primary and secondary prevention groups (P for interaction &gt;0.5 for each outcome). Conclusions: Canagliflozin significantly reduced major cardiovascular events and kidney failure in patients with type 2 diabetes mellitus and chronic kidney disease, including in participants who did not have previous cardiovascular disease