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Unravelling Chemical Composition of Agave Spines
Spines are key plant modifications developed to deal against herbivores; however, its physical structure and chemical composition have been little explored in plant species. Here, we took advantage of high-throughput...
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TiO2 Nanotubes Transformation Into 4nm Anatase Nanoparticles
The scope of this work shows novel experimental findings on preparing anatase TiO2 nanoparticles, first anodizing titanium into an organic media for obtaining TiO2 nanotubes, and using these as a photocatalytic active electrode...
Does function fit structure? A ground truth for non-invasive neuroimaging.
There are now a number of non-invasive methods to image human brain function in-vivo. However, the accuracy of these images remains unknown and can currently only be estimated through the use of invasive recordings to generate a...
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EMD-based data augmentation method applied to handwriting data for the diagnosis of Essential Tremor using LSTM networks.
The increasing capacity of today's technology represents great advances in diagnosing diseases using standard procedures supported by computer science. Deep learning techniques are able to extract the characteristics of temporal...
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EMD-based data augmentation method applied to handwriting data for the diagnosis of Essential Tremor using LSTM networks.
The increasing capacity of today's technology represents great advances in diagnosing diseases using standard procedures supported by computer science. Deep learning techniques are able to extract the characteristics of temporal...
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HIF-2α is essential for carotid body development and function.
Mammalian adaptation to oxygen flux occurs at many levels, from shifts in cellular metabolism to physiological adaptations facilitated by the sympathetic nervous system and carotid body (CB). Interactions between differing forms...
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Tail-regression estimator for heavy-tailed distributions of known tail indices and its application to continuum quantum Monte Carlo data.
Standard statistical analysis is unable to provide reliable confidence intervals on expectation values of probability distributions that do not satisfy the conditions of the central limit theorem. We present a regression-based...
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E-Assessment and Multiple-Choice Questions
The use of information and communication technologies (ICT) in the assessment process is becoming an asset, giving rise to the so-called computer-based assessment or e-assessment. Nowadays, its use is becoming more usual in...
Measuring policy debate in a regrowing city by sentiment analysis using online media data
Abstract: In a time of data science, online crowdsourced data and advanced data analytics would be a waste of resources and knowledge if these tools wouldn't assist urban planning. This paper uses sentiment analysis to...
Expectation of reward differentially modulates executive inhibition.
BACKGROUND: Inhibitory control, a key modulatory component of cognition guiding strategy and behaviour, can be affected by diverse contingencies. We explore here the effect of expectation of reward over behavioural adjustment in...
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Predicting the Success of a Startup in Information Technology Through Machine Learning
Predicting the success of a startup in information technology (SIT) is a very complex problem due to the diverse factors and uncertainty that affects it. The focus of automatic learning (ML) is promising because it presents good...
A Matter of Time
The Response to Intervention (RTI) process is being used to assist all students, including English Language Learners (ELLs), who are experiencing academic difficulties and potentially qualifying for special education services....

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