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Communities in RUIdeRA
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Item
Novel groundtruth transformations for the aesthetic assessment problem
(Elsevier, 2023-04-17) González Naharro, Luis; Flores Gallego, María Julia; Martínez Gómez, Jesús; Puerta Callejón, José Miguel
Aesthetic assessment evaluates the quality of a given image using subjective annotations, commonly user ratings, as a knowledge base. Rating complexity is usually relaxed in state-of-the-art works by employing a binary high/low quality label computed from the mean value of rating votes. Nevertheless, this approach introduces uncertainty to average-quality images, which may affect the performance of machine learning models trained from annotated data.
In this work, we present a novel approach to aesthetic assessment based on redefining the rating-based groundtruths present in most datasets. Our intent is twofold: to reduce the rating uncertainty and to automatically group them into clusters reflecting high and low quality patterns, thus avoiding an arbitrary threshold like 5 in 1–10 ratings. The experimentation uses the well-known AVA dataset, which consists of more than 255,000 images, and we train several CNN models to test our new groundtruths against the baseline ones. The results show that our approach achieves significant performance gains, between 3% and 9% more balanced accuracy than the baseline groundtruths.
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Assessing the impact of the economic complexity on the ecological footprint in G7 countries
(Elsevier, 2023-03-29) Balsalobre Lorente, Daniel; Nur, Tugba; Topaloglu, Emre E.; Evcimen, Ceren
The G-7 economies include economically developed countries on a global scale. The high economic complexity and ecological behaviour of these countries have led to increased concern in other countries within the conjuncture. For this reason, this study investigates the impact of economic complexity, human development, high innovation processes, and renewable energy consumption on the ecological footprint, presenting as the main novelty the damper effect that human development and innovation processes exert on economic complexity and the global effect on the ecological footprint. This empirical evidence is analyzed under the validation of a U-inverted EKĆs behaviour between ecological footprint and economic complexity for 1991–2018. Our study follows a second-generation perspective that generates reliable and robust results using Cup-FMOLS, Konya panel bootstrap causality and panel VAR analyses under cross-sectional dependence and slope heterogeneity. The long-run elasticity estimates calculated with the Cup-FMOLS approach suggest that economic complexity, human development, high innovation process and interaction variables reduce the ecological footprint. The unidirectional causality from economic complexity and human development to ecological footprint, as well as from economic complexity and human development to the high innovation process, is part of the Konya bootstrap causality test. In addition, a bidirectional causality linkage is revealed between renewable energy consumption and ecological footprint, human development and high innovation process. In G-7 countries, where economic complexity is higher than in other countries, it is crucial to improve environmental quality to ensure sustainable development. The findings show that sustainable development in G-7 countries can be accelerated by improving renewable energy sources, R&D investments and social dimension.
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Liderazgo servidor y pensamiento creativo: el papel mediador de la autonomía del estudiante
(Egregius, 2022) Linuesa Langreo, Jorge; Martínez Cañas, Ricardo; García Haro, María Ángeles; Ruiz Palomino, Pablo
Publication
A microservice-based framework for developing internet of things and people applications
(MDPI, 2019) Macias Ojeda, Aurora; Navarro Martínez, Elena María; González López, Pascual
The Internet of things (IoT) is characterized by billions of heterogeneous, distributed, and intelligent objects—both from the digital and the physical worlds—running applications and services. Objects are connected through heterogeneous platforms providing support for the collection and management of data that need to be understood. Since IoT systems are composed by
a variety of objects and services, a key aspect for engineering them is their architecture. The new paradigm called Internet of people (IoP) is not unaware of this need. In IoP, humans play an important role so that design considering aspects as context becomes critical for making the most of these applications. This work presents a context-aware, serverless, microservice-based, and cloudcentric framework for the Internet of things and people (IoT-P) applications that extends the threelayer classic IoT reference architecture. It integrates most of the aspects considered by the architecture of IoT solutions emerging from different perspectives, being also domain independent.
This work focuses on the application paradigm of IoT neglected by most proposals. This framework, combined with a previous work, offers a higher separation of concerns (SoC) degree than other proposals, by splitting the application layer into different sublayers or subsystems based on their responsibilities and tracing atomic components to serverless microservices, to facilitate the design, development, and deployment of IoT-P applications. An IoT-P application in the healthcare domain is presented to illustrate how this framework can be put into practice
Publication
ERG potassium channels and T-type calcium channels contribute to the pacemaker and atrioventricular conduction in zebrafish larvae
(WILEY, 2024) Salgado Almario, Jussep alfredo; Molina Durango, Yillcer; Martínez Sielva, Antonio; Rodríguez García, Raúl; Vincent , Pierre; Vicente Ruiz, Manuel; Domingo Moreno, Beatriz; Llopis Borrás, Juan francisco
Aim: Bradyarrhythmias result from inhibition of automaticity, prolonged repolarization, or slow conduction in the heart. The ERG channels mediate the repolarizing current IKr in the cardiac action potential, whereas T-type calcium channels (TTCC) are involved in the sinoatrial pacemaker and atrioventricular conduction in mammals. Zebrafish have become a valuable research model for human cardiac electrophysiology and disease. Here, we investigate the contribution of ERG channels and TTCCs to the pacemaker and atrioventricular conduction in zebrafish larvae and determine the mechanisms causing atrioventricular block.
Methods: Zebrafish larvae expressing ratiometric fluorescent Ca2+ biosensors in the heart were used to measure Ca2+ levels and rhythm in beating hearts in vivo, concurrently with contraction and hemodynamics. The atrioventricular delay (the time between the start of atrial and ventricular Ca2+ transients) was used to measure impulse conduction velocity and distinguished between slow conduction and prolonged refractoriness as the cause of the conduction block.
Results: ERG blockers caused bradycardia and atrioventricular block by prolonging the refractory period in the atrioventricular canal and in working ventricular myocytes. In contrast, inhibition of TTCCs caused bradycardia and second-degree block (Mobitz type I) by slowing atrioventricular conduction. TTCC block did not affect ventricular contractility, despite being highly expressed in cardiomyocytes. Concomitant measurement of Ca2+ levels and ventricular size showed mechano-mechanical coupling: increased preload resulted in a stronger heart contraction in vivo.
Conclusion: ERG channels and TTCCs influence the heart rate and atrioventricular conduction in zebrafish larvae. The zebrafish lines expressing Ca2+ biosensors in the heart allow us to investigate physiological feedback mechanisms and complex arrhythmias.