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Teaching English through pedagogical translanguaging
(Wiley, 2020-06)
Teaching English has traditionally been associated with a monolingual bias and the exclusive use of English in the classroom is highly recommended in different countries. Nowadays English is widely used to teach academic ...
Web Server and R Library for the Calculation of Markov Chains Molecular Descriptors
(MDPI, 2020-08-20)
Markov Chain Molecular Descriptors (MCDs) have been largely used to solve Cheminformatics problems. The software to perform the calculation is not always available for general users. In this work, we developed the first ...
VLP-Based Vaccines as a Suitable Technology to Target Trypanosomatid Diseases
(MDPI, 2021-03-05)
Research on vaccines against trypanosomatids, a family of protozoa that cause neglected tropical diseases, such as Chagas disease, leishmaniasis, and sleeping sickness, is a current need. Today, according to modern ...
Improved Activity Recognition Combining Inertial Motion Sensors and Electroencephalogram Signals
(World Scientific Publishing, 2020-10)
Human activity recognition and neural activity analysis are the basis for human computational neureoethology research dealing with the simultaneous analysis of behavioral ethogram descriptions and neural activity measurements. ...
Reliable Control Applications with Wireless Communication Technologies: Application to Robotic Systems
(MDPI, 2021-10-26)
The nature of wireless propagation may reduce the QoS of the applications, such that some packages can be delayed or lost. For this reason, the design of wireless control applications must be faced in a holistic way to ...
Depth Data Denoising in Optical Laser Based Sensors for Metal Sheet Flatness Measurement: A Deep Learning Approach
(MDPI, 2021-10-23)
Surface flatness assessment is necessary for quality control of metal sheets manufactured from steel coils by roll leveling and cutting. Mechanical-contact-based flatness sensors are being replaced by modern laser-based ...
Prediction of Anti-Glioblastoma Drug-Decorated Nanoparticle Delivery Systems Using Molecular Descriptors and Machine Learning
(MDPI, 2021-10-26)
The theoretical prediction of drug-decorated nanoparticles (DDNPs) has become a very important task in medical applications. For the current paper, Perturbation Theory Machine Learning (PTML) models were built to predict ...
Ceramide Metabolism and Parkinson’s Disease—Therapeutic Targets
(MDPI, 2021-06-25)
Ceramide is a bioactive sphingolipid involved in numerous cellular processes. In addition to being the precursor of complex sphingolipids, ceramides can act as second messengers, especially when they are generated at the ...
Generative Adversarial Networks to Improve the Robustness of Visual Defect Segmentation by Semantic Networks in Manufacturing Components
(MDPI, 2021-07-09)
This paper describes the application of Semantic Networks for the detection of defects in images of metallic manufactured components in a situation where the number of available samples of defects is small, which is rather ...
Proportion and predictors of remission and recovery in first-episode psychosis: Systematic review and meta-analysis
(Cambridge University Press, 2021-11)
[EN] Background To determine the proportion of patients in symptomatic remission and recovery following a first-episode of psychosis (FEP). Methods A multistep literature search using the Web of Science database, Cochrane ...