Search Results - "Vidal, Juan C."

Electrochemical affinity biosensors for detection of mycotoxins: A review by Vidal, Juan C., Bonel, Laura, Ezquerra, Alba, Hernández, Susana, Bertolín, Juan R., Cubel, Carlota, Castillo, Juan R.

“…This review discusses the current state of electrochemical biosensors in the determination of mycotoxins in foods. Mycotoxins are highly toxic secondary…”
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Application of Functional Data Analysis for the Prediction of Maximum Heart Rate by Matabuena, Marcos, Vidal, Juan C., Hayes, Philip R., Saavedra-Garcia, Miguel, Trillo, Fernando Huelin

“…Maximum heart rate (MHR) is widely used in the prescription and monitoring of exercise intensity, and also as a criterion for the termination of sub-maximal…”
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Amperometric cholesterol biosensors based on the electropolymerization of pyrrole and the electrocatalytic effect of Prussian-Blue layers helped with self-assembled monolayers by Vidal, Juan-C., Espuelas, Javier, Garcia-Ruiz, Esperanza, Castillo, Juan-R.

“…Three cholesterol biosensor configurations based on the formation of a layer of Prussian-Blue (PB) on a Pt electrode for the electrocatalytic detection of the…”
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Deep Learning for Predictive Business Process Monitoring: Review and Benchmark by Rama-Maneiro, Efren, Vidal, Juan C., Lama, Manuel

“…Predictive monitoring of business processes is concerned with the prediction of ongoing cases on a business process. Lately, the popularity of deep learning…”
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Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring by Rama-Maneiro, Efren, Vidal, Juan C., Lama, Manuel

“…Predictive monitoring of business processes is a subfield of process mining that aims to predict, among other things, the characteristics of the next event or…”
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Glucodensities: A new representation of glucose profiles using distributional data analysis by Matabuena, Marcos, Petersen, Alexander, Vidal, Juan C, Gude, Francisco

“…Biosensor data have the potential to improve disease control and detection. However, the analysis of these data under free-living conditions is not feasible…”
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Semantic Linking of Learning Object Repositories to DBpedia by Lama, Manuel, Vidal, Juan C, Otero-Garcia, Estefania, Bugarin, Alberto, Barro, Senen

“…Large-sized repositories of learning objects (LOs) are difficult to create and also to maintain. In this paper we propose a way to reduce this drawback by…”
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An electrochemical competitive biosensor for ochratoxin A based on a DNA biotinylated aptamer by Bonel, Laura, Vidal, Juan C., Duato, Patricia, Castillo, Juan R.

“…Ochratoxin A (OTA) is one of the most important mycotoxin contaminants of foods, particularly cereals and cereal products, with strict low regulatory levels…”
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Amperometric cholesterol biosensor based on in situ reconstituted cholesterol oxidase on an immobilized monolayer of flavin adenine dinucleotide cofactor by Vidal, Juan-C., Espuelas, Javier, Castillo, Juan-R.

“…A new amperometric biosensor for determining cholesterol based on deflavination of the enzyme cholesterol oxidase (ChOx) and subsequent reconstitution of the…”
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A Modulated Tyrosinase Enzyme-Based Biosensor for Application to the Detection of Dichlorvos and Atrazine Pesticides by Vidal, Juan C., Bonel, Laura, Castillo, Juan R.

“…A study was been made of tyrosinase amperometric biosensors for the determination of organophosphorus (dichlorvos) and triazine (atrazine) pesticides. The…”
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A Conformance Checking-Based Approach for Sudden Drift Detection in Business Processes by Gallego-Fontenla, Victor, Vidal, Juan C., Lama, Manuel

“…Real life business processes change over time, in both planned and unexpected ways. The detection of these changes is crucial for organizations to ensure that…”
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Collective disambiguation in entity linking based on topic coherence in semantic graphs by Rama-Maneiro, Efrén, Vidal, Juan C., Lama, Manuel

“…Entity Linking (EL) consists of determinating the entities that best represent the mentions in a document. Mentions can be very ambiguous and can refer to…”
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Exploiting recurrent graph neural networks for suffix prediction in predictive monitoring by Rama-Maneiro, Efrén, Vidal, Juan C., Lama, Manuel, Monteagudo-Lago, Pablo

“…Predictive monitoring is a subfield of process mining that aims to predict how a running case will unfold in the future. One of its main challenges is…”
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Detection, quantification, and characterization of polystyrene microplastics and adsorbed bisphenol A contaminant using electroanalytical techniques by Vidal, Juan C., Midón, Javier, Vidal, Ana B., Ciomaga, Dragos, Laborda, Francisco

“…The potential applications of electroanalytical techniques for the quantification and size characterization of nonelectroactive polystyrene microplastics is…”
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A 6-minute sub-maximal run test to predict VO2 max by Matabuena, Marcos, Vidal, Juan C., Hayes, Philip R., Huelin Trillo, Fernando

“…Maximal oxygen uptake ( max) is a key indicator to assess health as well as sports performance. Currently, maximal exercise testing is the most accurate…”
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Electronic Communication in Binuclear Osmium- and Iridium-Polyhydrides by Cancela, Lara, Esteruelas, Miguel A., Galbán, Javier, Oliván, Montserrat, Oñate, Enrique, Vélez, Andrea, Vidal, Juan C.

“…Reactions of polyhydrides OsH6(PiPr3)2 (1) and IrH5(PiPr3)2 (2) with rollover cyclometalated hydride complexes have been investigated in order to explore the…”
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Ontology-based approach for the validation and conformance testing of xAPI events by Vidal, Juan C., Rabelo, Thomas, Lama, Manuel, Amorim, Ricardo

“…Learning analytics (LA) looks for a better understanding of learning and ways to optimize both the learning and the environments in which it occurs. One of its…”
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An electrochemical immunosensor for ochratoxin A determination in wines based on a monoclonal antibody and paramagnetic microbeads by Vidal, Juan C., Bonel, Laura, Ezquerra, Alba, Duato, Patricia, Castillo, Juan R.

“…We report a direct competitive immunosensor for the rapid determination of ochratoxin A (OTA) in wine samples. Magnetic beads (1 ± 0.5 μm diameter) covered…”
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Recompiling learning processes from event logs by Vidal, Juan C., Vázquez-Barreiros, Borja, Lama, Manuel, Mucientes, Manuel

“…•We extract a process structure from event logs using process mining.•We obtain the rules that guide adaptive learning from these logs by means of decision…”
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Voltammetric sensing of silver nanoparticles on electrodes modified with selective ligands by using covalent and electropolymerization procedures. Discrimination between silver(I) and metallic silver by Vidal, Juan C., Torrero, Darío, Menés, Sonia, de La Fuente, Alvar, Castillo, Juan R.

“…New electrochemical sensors are described for the rapid quantification of silver nanoparticles (AgNPs). They are based on the immobilization of L-cysteine on a…”
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