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Machine Learning to Predict Pre-Eclampsia and Intrauterine Growth Restriction in Pregnant Women
(MDPI, 2022-10)
The use of artificial intelligence in healthcare in general and in obstetrics and gynecology in particular has great potential. Specifically, machine learning methods could help improve the health and well-being of pregnant ...
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A retrospective analysis of the impact of the COVID-19 restrictions on energy consumption at a disaggregated level
(Elsevier, 2021)
Since the emergence of the virus that causes COVID-19 (the SARS-CoV-2) in Wuhan in December 2019, societies all around the world have had to change their normal life patterns due to the restrictions and lockdowns imposed by ...
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Full-Scale Digesters: Model Predictive Control with Online Kinetic Parameter Identification Strategy
(MDPI, 2022-11)
This work presents a nonlinear model predictive control scheme with a novel structure of observers aiming to create a methodology that allows feasible implementations in industrial anaerobic reactors. In this way, a new ...
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IRIS: An embedded secure boot for IoT devices
(Elsevier, 2023-10)
This study proposes a hardware secure boot solution, an instant retrieval information system (IRIS) that is suitable for integrating Internet of Things (IoT) devices. IRIS can boot a Linux kernel image pre-stores in removable ...
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Address encoded byte order
(Elsevier B.V., 2020)
Unaligned accesses are forbidden in many high-performance architectures. In most of these architectures, the least significant address bits of a multibyte memory access must be zero. Otherwise, the program generating the ...
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DC electrical stimulation enhances proliferation and differentiation on N2a and MC3T3 cell lines
(Springer Nature, 2022)
Background: Electrical stimulation is a novel tool to promote the differentiation and proliferation of precursor cells. In this work we have studied the effects of direct current (DC) electrical stimulation on neuroblastoma ...
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Evaluation of More Stamina, a Mobile App for Fatigue Management in Persons with Multiple Sclerosis: Protocol for a Feasibility, Acceptability, and Usability Study
(JMIR Publications, 2020-08)
Background: Multiple sclerosis (MS) is one of the world’s most common neurologic disorders leading to severe disability in young adults. MS-related fatigue directly impacts on the quality of life and activity levels of ...
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Flexibility Services Based on OpenADR Protocol for DSO Level
(MDPI, 2020-11)
Nowadays, Distribution System Operators are increasing the digitalization of their smart grids, making it possible to measure and manage their state at any time. However, with the massive eruption of change-distributed ...
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Decision support system in health care building design based on case-based reasoning and reinforcement learning
(Elsevier, 2021-10)
The health care building designing is a very difficult process in which there are a great quantity of parameters and variables that it is necessary to consider. The health care building should reach the population needs. ...
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Detecting Attention Levels in ADHD Children with a Video Game and the Measurement of Brain Activity with a Single-Channel BCI Headset
(MDPI, 2021)
Attentional biomarkers in attention deficit hyperactivity disorder are difficult to detect using only behavioural testing. We explored whether attention measured by a low-cost EEG system might be helpful to detect a possible ...