A5082717093- Mining Techniques and Economics
- Ergonomics and Musculoskeletal Disorders
- Occupational Health and Safety in Workplaces
- Effects of Vibration on Health
- Adaptive optics and wavefront sensing
- Belt Conveyor Systems Engineering
- Organizational Management and Innovation
- Air Quality Monitoring and Forecasting
- Optical Wireless Communication Technologies
- Remote Sensing in Agriculture
- Tactile and Sensory Interactions
- Impact of Technology on Adolescents
- Accounting and Financial Management
- Musculoskeletal pain and rehabilitation
- Air Quality and Health Impacts
- Salivary Gland Tumors Diagnosis and Treatment
- Vehicle emissions and performance
- Mineral Processing and Grinding
- Occupational Health and Safety Research
- Energy Load and Power Forecasting
- Scheduling and Optimization Algorithms
- Pressure Ulcer Prevention and Management
- Control Systems and Identification
- Mine drainage and remediation techniques
- Retinal Diseases and Treatments
Universidad de Oviedo
2013-2025
Hospital Clínico de la Universidad de Chile
2022
University of Almería
2009
University of Córdoba
2009
Diabetic macular edema is one of the leading causes legal blindness worldwide. Early, and accessible, detection ophthalmological diseases especially important in developing countries, where there are major limitations to access specialized medical diagnosis treatment. Deep learning models, such as deep convolutional neural networks have shown great success different computer vision tasks. In images they been also applied with success. The present paper presents a novel strategy based on...
Neural networks have significantly advanced adaptive optics systems for telescopes in recent years. Future systems, especially extremely large telescopes, are expected to predominantly employ pyramid wavefront sensors, which offer good sensitivity but suffer from a non-linear response under certain conditions. This non-linearity limits the performance of traditional linear reconstruction methods, such as matrix–vector multiplication, leading suboptimal performance. Convolutional Networks...
This paper studies investments in new tungsten mining projects, analyzing in-depth five ready-to-go projects around the world that were presented to financial markets by listed companies obtain funds so they could start operations near future: Barruecopardo open-cut project Spain (Ormonde Mining); Kilba Australia (Tungsten Hemerdon United Kingdom (Wolf Minerals); Sangdong underground South Korea (Woulfe and King Island Scheelite, a mixed Tasmania (King Scheelite). These investment selected...
One of the major consequences digital revolution has been increase in use electronic devices health services. Despite their remarkable advantages, though, computers and other visual display terminals for a prolonged time may have negative effects on vision, leading to greater risk Computer Vision Syndrome (CVS) among users. In this study, importance ocular symptoms related CVS was evaluated, factors associated with were studied, help an algorithm based regression trees genetic algorithms....
Adaptive optics reconstructors are needed to remove the effects of atmospheric distortion in optical systems large telescopes. The use based on neural networks has been proved successful recent times. Some their properties require a specific characterization. A procedure, time series clustering algorithms, is presented characterize relationship between temporal structure inputs and outputs, through analyzing data provided by system. This procedure used compare performance reconstructor...
(1) Background: This paper combines lifestyle-routine activities (L-RAT) and self-control (SCT) theories along with the literature on smartphone addiction in a joint model that addresses multiple vulnerabilities make user potential victim of cybercrime. model, which we call dual vulnerability cybercrime victimization, was subjected to empirical testing nationally representative sample users. (2) Methods: Data from 2837 participants Spanish users were modeled using Mplus causal modeling...
Abstract Due to the health impacts caused by exposures air pollutants in urban areas, monitoring and forecasting of quality parameters have become popular as an important topic atmospheric environmental research today. The knowledge on dynamics complexity behaviour has made artificial intelligence statistical learning models a useful tool for more accurate pollutant concentration prediction. aim this study is build regression model daily prediction using support vector machine (SVM)...
We analyzed the photometry of 20038 cool stars from campaigns 12, 13, 14 and 15 K2 mission in order to detect, characterize validate new planetary candidates transiting low-mass stars. present a catalogue 25 periodic transit-like signals 22 stars, which we computed parameters stellar host for 19 21 signals. acquired speckle AO images, also inspected archival Pan-STARRS1 images Gaia DR2 discard presence close companions check possible transit dilutions due nearby False positive probability...
The rapid growth in the availability of communication apps with mobile connectivity has contributed to an overabundant digital environment daily lives individuals. Users these are at risk experiencing social pressure (SDP), which been shown be important antecedent smartphone addiction. These ideas, advanced by theorists, have not yet found clear empirical support. In this study, we analyze actual use among 1331 users from a nationally representative sample and relate it empirically both SDP...
Mining companies are responsible for the impacts that result from their mining activities even after period has ended. At same time, at European and international levels, there is a lack of detailed operational methodology comprising environmental risks during closure underground coal mines. The risk aspects need to be considered when planning an mine post in broader context following: modification water flow scheme, surface instability, gas emission on surface, soil pollution. In this...
Correcting atmospheric turbulence effects in light with Adaptive Optics is necessary, since it produces aberrations the wavefront of astronomical objects observed telescopes from Earth. These corrections are performed classically reconstruction algorithms; between them, neural networks showed good results. In context solar observation, usage on differs nocturnal operations, bringing up a challenge to correct image aberrations. this work, convolutional approach given address issue,...
This presentation introduces the Research Fund for Coal and Steel (RFCS) GreenJOBS project, which approach is premised on leveraging five competitive advantages of underground coal mines to deploy emerging renewable energy circular economy technologies: (1) mine water geothermal green hydrogen. Geothermal a source that harnesses heat from inside earth, in our case, through floods mines. From certain depth, temperature subsoil constant regardless season. Thus, continuous accessible available...
The main objective of an Adaptive Optics (AO) system is to correct the aberrations produced in received wavefronts, caused by atmospheric turbulence. From some measures taken ground-based telescopes, AO systems must reconstruct all turbulence traversed incoming light and calculate a correction. characterized as phenomenon that can be modeled several independent, random, constantly changing layers. In case Solar Single-Conjugated (Solar SCAO), key on-axis with direction observation. Previous...
In this paper a method for creating linear local submodels is presented ana analyzed. The main contribution the use of weighting function based on input-output signals alone. This choice has advantage simplifying some aspects related to model building task. representational capacity remains same, being compared in with other techniques. simplification mentioned above an important one since it allows industrial practice process identification. resulting identification technique illustrated...
<p class="abstract">Polymorphous low-grade adenocarcinoma (PLGA) is an infrequent type of malignant epithelial tumor that occurs almost exclusively in minor salivary glands. It commonly presents women between the sixth and eighth decade life, usually as asymptomatic mass long evolution slow growth oral cavity but can erode infiltrate adjacent bone. We present 2 case reports review literature on subject. One presented with a growing developed over course 12 years, incorrectly diagnosed...