This page has only limited features, please log in for full access.

Prof. Dr. Javier Lorenzo-Navarro
Department of Informatics and Systems, I.U. de Sistemas Inteligentes y Aplicaciones Numéricas en Ingenierí¬a Universidad de Las Palmas de Gran Canaria 35017-Las Palmas, Las Palmas 35016, Spain

Basic Info


Research Keywords & Expertise

0 Data Mining
0 Human Computer Interaction
0 Facial analysis
0 Soft biometrics
0 Local descriptors

Fingerprints

Data Mining
Human Computer Interaction
Facial analysis

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Conference paper
Published: 21 August 2021 in Knowledge Science, Engineering and Management
Reads 0
Downloads 0

Plastics are very valuable material for their desirable characteristics being one of them, their durability. But this characteristic turns plastics into an environmental problem when they end in the environment, and they become one source of contamination that can last for centuries. Thus, the first step for effective recycling is to identify correctly the types of plastics. In this paper, different classical classifiers as Random Forest, KNN, or SVM are compared with 1-D CNN and LSTM to classify plastics from hyperspectral images. Also, Partial Least Squares Discriminant Analysis has been included as the baseline because is one of the most widely used classifiers in the field of the Chemometrics community. The images were preprocessed with several techniques as Standard Normal Variate or Savitzky-Golay Polynomial Derivative to compare their effectiveness with raw data with the classifiers. The experiments were carried out using hyperspectral images with a 240 bands spectrum, and six types of polymers were considered (PE, PA, PP, PS, PVC, EPS). The best results were obtained with SVM+RBF and 1-D CNN with an accuracy of 99.41% and 99.31% respectively, preprocessing the images previously with Standard Normal Variate. Also, PCA and t-SNE methods were tested for dimensionality reduction, but they don’t improve the classifier performance.

ACS Style

Javier Lorenzo-Navarro; Silvia Serranti; Giuseppe Bonifazi; Giuseppe Capobianco. Performance Evaluation of Classical Classifiers and Deep Learning Approaches for Polymers Classification Based on Hyperspectral Images. Knowledge Science, Engineering and Management 2021, 281 -292.

AMA Style

Javier Lorenzo-Navarro, Silvia Serranti, Giuseppe Bonifazi, Giuseppe Capobianco. Performance Evaluation of Classical Classifiers and Deep Learning Approaches for Polymers Classification Based on Hyperspectral Images. Knowledge Science, Engineering and Management. 2021; ():281-292.

Chicago/Turabian Style

Javier Lorenzo-Navarro; Silvia Serranti; Giuseppe Bonifazi; Giuseppe Capobianco. 2021. "Performance Evaluation of Classical Classifiers and Deep Learning Approaches for Polymers Classification Based on Hyperspectral Images." Knowledge Science, Engineering and Management , no. : 281-292.

Journal article
Published: 17 October 2020 in Science of The Total Environment
Reads 0
Downloads 0

The quantification of microplastics is a needed task to monitor its evolution and model its behavior. However, it is a time demanding task traditionally performed using expensive equipment. In this paper, an architecture based on deep learning networks is presented with the aim of automatically count and classify microplastic particles in the range of 1–5 mm from pictures taken with a digital camera or a mobile phone with a resolution of 16 million pixels or higher. The proposed architecture comprises a first stage, implemented with the U-Net neural network, in charge of making the segmentation of the particles in the image. After the different particles have been isolated, a second stage based on the VGG16 neural network classifies them into three types: fragments, pellets and lines. These three types have been selected for being the most common in the range size under consideration. The experimental evaluation was carried out using images taken with two digital cameras and one mobile phone. The particles used in experiments correspond to samples collected on the beach of Playa del Poris in Tenerife Island, Spain, (28∘ 09′ 51” N, 16∘ 25′ 54” W) in August 2018. A Jaccard index value of 0.8 is achieved in the experiments of particles segmentation and an accuracy of 98.11% is obtained in the classification of the microplastic particles. The proposed architecture is remarkable faster than a similar previously published system based on traditional computer vision techniques.

ACS Style

Javier Lorenzo-Navarro; Modesto Castrillón-Santana; Elena Sánchez-Nielsen; Borja Zarco; Alicia Herrera; Ico Martínez; May Gómez. Deep learning approach for automatic microplastics counting and classification. Science of The Total Environment 2020, 765, 142728 .

AMA Style

Javier Lorenzo-Navarro, Modesto Castrillón-Santana, Elena Sánchez-Nielsen, Borja Zarco, Alicia Herrera, Ico Martínez, May Gómez. Deep learning approach for automatic microplastics counting and classification. Science of The Total Environment. 2020; 765 ():142728.

Chicago/Turabian Style

Javier Lorenzo-Navarro; Modesto Castrillón-Santana; Elena Sánchez-Nielsen; Borja Zarco; Alicia Herrera; Ico Martínez; May Gómez. 2020. "Deep learning approach for automatic microplastics counting and classification." Science of The Total Environment 765, no. : 142728.

Short communication
Published: 05 August 2020 in Pattern Recognition Letters
Reads 0
Downloads 0

Person re-identification (Re-ID) is the task of retrieving a person of interest taken from different cameras or from the same camera in different occasions. To address this challenging task, a large amount of labelled data is required both for testing and for learning. Such high quality annotated data is still rare for many Re-ID applications. In this paper, we introduce a novel dataset to evaluate Re-ID methods in complex real-world scenarios. In this case, we will be using a sporting event as the scenario. For this aim, participants in a 128 km night and day course were captured in five different recording points along the track and later manually identified and annotated. The dataset is evaluated using state-of-the-art techniques and wide array of experimental setups are considered, such as: day vs. night, motion blur, changes in clothing, etc. The evaluation suggests that the features present in the proposed dataset (time difference, unrestricted weather and illumination capture conditions, and the possibility of clothes changes between probe and gallery) pose a challenging scenario for future development in the Re-ID problem.

ACS Style

Adrian Penate-Sanchez; David Freire-Obregón; Adrián Lorenzo-Melián; Javier Lorenzo-Navarro; Modesto Castrillón-Santana. TGC20ReId: A dataset for sport event re-identification in the wild. Pattern Recognition Letters 2020, 138, 355 -361.

AMA Style

Adrian Penate-Sanchez, David Freire-Obregón, Adrián Lorenzo-Melián, Javier Lorenzo-Navarro, Modesto Castrillón-Santana. TGC20ReId: A dataset for sport event re-identification in the wild. Pattern Recognition Letters. 2020; 138 ():355-361.

Chicago/Turabian Style

Adrian Penate-Sanchez; David Freire-Obregón; Adrián Lorenzo-Melián; Javier Lorenzo-Navarro; Modesto Castrillón-Santana. 2020. "TGC20ReId: A dataset for sport event re-identification in the wild." Pattern Recognition Letters 138, no. : 355-361.

Journal article
Published: 27 April 2020 in Sensors
Reads 0
Downloads 0

GidaBot is an application designed to setup and run a heterogeneous team of robots to act as tour guides in multi-floor buildings. Although the tours can go through several floors, the robots can only service a single floor, and thus, a guiding task may require collaboration among several robots. The designed system makes use of a robust inter-robot communication strategy to share goals and paths during the guiding tasks. Such tours work as personal services carried out by one or more robots. In this paper, a face re-identification/verification module based on state-of-the-art techniques is developed, evaluated offline, and integrated into GidaBot’s real daily activities, to avoid new visitors interfering with those attended. It is a complex problem because, as users are casual visitors, no long-term information is stored, and consequently, faces are unknown in the training step. Initially, re-identification and verification are evaluated offline considering different face detectors and computing distances in a face embedding representation. To fulfil the goal online, several face detectors are fused in parallel to avoid face alignment bias produced by face detectors under certain circumstances, and the decision is made based on a minimum distance criterion. This fused approach outperforms any individual method and highly improves the real system’s reliability, as the tests carried out using real robots at the Faculty of Informatics in San Sebastian show.

ACS Style

Igor Rodriguez; Unai Zabala; Pedro A. Marín-Reyes; Ekaitz Jauregi; Javier Lorenzo-Navarro; Elena Lazkano; Modesto Castrillón-Santana. Personal Guides: Heterogeneous Robots Sharing Personal Tours in Multi-Floor Environments. Sensors 2020, 20, 2480 .

AMA Style

Igor Rodriguez, Unai Zabala, Pedro A. Marín-Reyes, Ekaitz Jauregi, Javier Lorenzo-Navarro, Elena Lazkano, Modesto Castrillón-Santana. Personal Guides: Heterogeneous Robots Sharing Personal Tours in Multi-Floor Environments. Sensors. 2020; 20 (9):2480.

Chicago/Turabian Style

Igor Rodriguez; Unai Zabala; Pedro A. Marín-Reyes; Ekaitz Jauregi; Javier Lorenzo-Navarro; Elena Lazkano; Modesto Castrillón-Santana. 2020. "Personal Guides: Heterogeneous Robots Sharing Personal Tours in Multi-Floor Environments." Sensors 20, no. 9: 2480.

Journal article
Published: 30 January 2020 in IEEE Access
Reads 0
Downloads 0

The management of plastic debris is a serious issue due to its durability. Unfortunately, million tons of plastic end up in the sea becoming one of the biggest current environmental problems. One way to monitor the amount of plastic in beaches is to collect samples and visually count and sort the plastic particles present in them. This is a very time-consuming task. In this work, we present a Computer Visionbased system which is able to automatically count and classify microplastic particles (1-5 mm) into five different visual classes. After cleaning a collected sample in the lab, the proposed system makes use of a pair of its images with different characteristics. The procedure includes a segmentation step, which is based on the Sauvola thresholding method, followed by a feature extraction and classification step. Different features and classifiers are evaluated as well as a deep learning approach. The system is tested on 12 different beach samples with a total of 2507 microplastic particles. The particles of each sample were manually counted and sorted by an expert. This data represents the ground truth, which is compared later with the results of the automatic processing proposals to evaluate their accuracy. The difference in the number of particles is 34 (1.4%) and the error in their classification is less than 4% for all types except for the line shapes particles. These results are obtained in less than half of the time needed by the human expert doing the same task manually. This implies that it is possible to process more than twice as many samples using the same time, allowing the biologists to monitor wider areas and more frequently than doing the process manually.

ACS Style

Javier Lorenzo-Navarro; Modesto Castrillon-Santana; Enrico Santesarti; Maria De Marsico; Ico Martinez; Eugenio Raymond; May Gomez; Alicia Herrera. SMACC: A System for Microplastics Automatic Counting and Classification. IEEE Access 2020, 8, 25249 -25261.

AMA Style

Javier Lorenzo-Navarro, Modesto Castrillon-Santana, Enrico Santesarti, Maria De Marsico, Ico Martinez, Eugenio Raymond, May Gomez, Alicia Herrera. SMACC: A System for Microplastics Automatic Counting and Classification. IEEE Access. 2020; 8 (99):25249-25261.

Chicago/Turabian Style

Javier Lorenzo-Navarro; Modesto Castrillon-Santana; Enrico Santesarti; Maria De Marsico; Ico Martinez; Eugenio Raymond; May Gomez; Alicia Herrera. 2020. "SMACC: A System for Microplastics Automatic Counting and Classification." IEEE Access 8, no. 99: 25249-25261.

Journal article
Published: 11 September 2019 in Symmetry
Reads 0
Downloads 0

Transparency laws facilitate citizens to monitor the activities of political representatives. In this sense, automatic or manual diarization of parliamentary sessions is required, the latter being time consuming. In the present work, this problem is addressed as a person re-identification problem. Re-identification is defined as the process of matching individuals under different camera views. This paper, in particular, deals with open world person re-identification scenarios, where the captured probe in one camera is not always present in the gallery collected in another one, i.e., determining whether the probe belongs to a novel identity or not. This procedure is mandatory before matching the identity. In most cases, novelty detection is tackled applying a threshold founded in a linear separation of the identities. We propose a threshold-less approach to solve the novelty detection problem, which is based on a one-class classifier and therefore it does not need any user defined threshold. Unlike other approaches that combine audio-visual features, an Isometric LogRatio transformation of a posteriori (ILRA) probabilities is applied to local and deep computed descriptors extracted from the face, which exhibits symmetry and can be exploited in the re-identification process unlike audio streams. These features are used to train the one-class classifier to detect the novelty of the individual. The proposal is evaluated in real parliamentary session recordings that exhibit challenging variations in terms of pose and location of the interveners. The experimental evaluation explores different configuration sets where our system achieves significant improvement on the given scenario, obtaining an average F measure of 71.29% for online analyzed videos. In addition, ILRA performs better than face descriptors used in recent face-based closed world recognition approaches, achieving an average improvement of 1.6% with respect to a deep descriptor.

ACS Style

Pedro A. Marín-Reyes; Itziar Irigoien; Basilio Sierra; Javier Lorenzo-Navarro; Modesto Castrillón-Santana; Concepción Arenas. ILRA: Novelty Detection in Face-Based Intervener Re-Identification. Symmetry 2019, 11, 1154 .

AMA Style

Pedro A. Marín-Reyes, Itziar Irigoien, Basilio Sierra, Javier Lorenzo-Navarro, Modesto Castrillón-Santana, Concepción Arenas. ILRA: Novelty Detection in Face-Based Intervener Re-Identification. Symmetry. 2019; 11 (9):1154.

Chicago/Turabian Style

Pedro A. Marín-Reyes; Itziar Irigoien; Basilio Sierra; Javier Lorenzo-Navarro; Modesto Castrillón-Santana; Concepción Arenas. 2019. "ILRA: Novelty Detection in Face-Based Intervener Re-Identification." Symmetry 11, no. 9: 1154.

Article
Published: 01 January 2019 in Critical Care Medicine
Reads 0
Downloads 0
ACS Style

Suraj Trivedi; Ryan Davis; Milo Engoren; Javier Lorenzo; Elizabeth Jewell; Michael Maile. 27. Critical Care Medicine 2019, 47, 14 .

AMA Style

Suraj Trivedi, Ryan Davis, Milo Engoren, Javier Lorenzo, Elizabeth Jewell, Michael Maile. 27. Critical Care Medicine. 2019; 47 (1):14.

Chicago/Turabian Style

Suraj Trivedi; Ryan Davis; Milo Engoren; Javier Lorenzo; Elizabeth Jewell; Michael Maile. 2019. "27." Critical Care Medicine 47, no. 1: 14.

Journal article
Published: 20 February 2018 in Entropy
Reads 0
Downloads 0

The development of efficient mass transit systems that provide quality of service is a major challenge for modern societies. To meet this challenge, it is essential to understand user demand. This article proposes using new time-dependent attributes to represent demand, attributes that differ from those that have traditionally been used in the design and planning of this type of transit system. Data mining was used to obtain these new attributes; they were created using clustering techniques, and their quality evaluated with the Shannon entropy function and with neural networks. The methodology was implemented on an intercity public transport company and the results demonstrate that the attributes obtained offer a more precise understanding of demand and enable predictions to be made with acceptable precision.

ACS Style

Teresa Cristóbal; Gabino Padrón; Javier Lorenzo-Navarro; Alexis Quesada-Arencibia; Carmelo R. García. Applying Time-Dependent Attributes to Represent Demand in Road Mass Transit Systems. Entropy 2018, 20, 133 .

AMA Style

Teresa Cristóbal, Gabino Padrón, Javier Lorenzo-Navarro, Alexis Quesada-Arencibia, Carmelo R. García. Applying Time-Dependent Attributes to Represent Demand in Road Mass Transit Systems. Entropy. 2018; 20 (2):133.

Chicago/Turabian Style

Teresa Cristóbal; Gabino Padrón; Javier Lorenzo-Navarro; Alexis Quesada-Arencibia; Carmelo R. García. 2018. "Applying Time-Dependent Attributes to Represent Demand in Road Mass Transit Systems." Entropy 20, no. 2: 133.

Journal article
Published: 01 January 2018 in Nefrología (English Edition)
Reads 0
Downloads 0
ACS Style

Silvia González Sanchidrián; Jesús Pedro Marín Álvarez; Javier Deira Lorenzo; Pedro Jesús Labrador Gómez; Juan Ramón Gómez-Martino Arroyo. Serratia marcescens bacteraemia outbreak in haemodialysis. Comment on “Serratia marcescens bacteraemia outbreak in haemodialysis patients with tunnelled catheters due to colonisation of antiseptic solution. Experience in 4 hospitals”. Nefrología (English Edition) 2018, 38, 94 -96.

AMA Style

Silvia González Sanchidrián, Jesús Pedro Marín Álvarez, Javier Deira Lorenzo, Pedro Jesús Labrador Gómez, Juan Ramón Gómez-Martino Arroyo. Serratia marcescens bacteraemia outbreak in haemodialysis. Comment on “Serratia marcescens bacteraemia outbreak in haemodialysis patients with tunnelled catheters due to colonisation of antiseptic solution. Experience in 4 hospitals”. Nefrología (English Edition). 2018; 38 (1):94-96.

Chicago/Turabian Style

Silvia González Sanchidrián; Jesús Pedro Marín Álvarez; Javier Deira Lorenzo; Pedro Jesús Labrador Gómez; Juan Ramón Gómez-Martino Arroyo. 2018. "Serratia marcescens bacteraemia outbreak in haemodialysis. Comment on “Serratia marcescens bacteraemia outbreak in haemodialysis patients with tunnelled catheters due to colonisation of antiseptic solution. Experience in 4 hospitals”." Nefrología (English Edition) 38, no. 1: 94-96.

Journal article
Published: 01 January 2018 in Revista Eureka sobre Enseñanza y Divulgación de las Ciencias
Reads 0
Downloads 0
ACS Style

Javier Manso Lorenzo; Ángel Ezquerra Martínez; Esther Burgos Jiménez; Joseph Mafokozi. Análisis del tratamiento de contenidos en la creación de audiovisuales educativos. Revista Eureka sobre Enseñanza y Divulgación de las Ciencias 2018, 16, 1 -169.

AMA Style

Javier Manso Lorenzo, Ángel Ezquerra Martínez, Esther Burgos Jiménez, Joseph Mafokozi. Análisis del tratamiento de contenidos en la creación de audiovisuales educativos. Revista Eureka sobre Enseñanza y Divulgación de las Ciencias. 2018; 16 (1):1-169.

Chicago/Turabian Style

Javier Manso Lorenzo; Ángel Ezquerra Martínez; Esther Burgos Jiménez; Joseph Mafokozi. 2018. "Análisis del tratamiento de contenidos en la creación de audiovisuales educativos." Revista Eureka sobre Enseñanza y Divulgación de las Ciencias 16, no. 1: 1-169.

Correspondence
Published: 06 December 2017 in Nefrología
Reads 0
Downloads 0
ACS Style

Silvia González Sanchidrián; Jesús Pedro Marín Álvarez; Javier Deira Lorenzo; Pedro Jesús Labrador Gómez; Juan Ramón Gómez-Martino Arroyo. Serratia marcescens bacteraemia outbreak in hemodialysis. Comment on «Serratia marcescens bacteraemia outbreak in haemodialysis patients with tunnelled catheters due to colonisation of antiseptic solution. Experience from 4 hospitals». Nefrología 2017, 38, 94 -96.

AMA Style

Silvia González Sanchidrián, Jesús Pedro Marín Álvarez, Javier Deira Lorenzo, Pedro Jesús Labrador Gómez, Juan Ramón Gómez-Martino Arroyo. Serratia marcescens bacteraemia outbreak in hemodialysis. Comment on «Serratia marcescens bacteraemia outbreak in haemodialysis patients with tunnelled catheters due to colonisation of antiseptic solution. Experience from 4 hospitals». Nefrología. 2017; 38 (1):94-96.

Chicago/Turabian Style

Silvia González Sanchidrián; Jesús Pedro Marín Álvarez; Javier Deira Lorenzo; Pedro Jesús Labrador Gómez; Juan Ramón Gómez-Martino Arroyo. 2017. "Serratia marcescens bacteraemia outbreak in hemodialysis. Comment on «Serratia marcescens bacteraemia outbreak in haemodialysis patients with tunnelled catheters due to colonisation of antiseptic solution. Experience from 4 hospitals»." Nefrología 38, no. 1: 94-96.

Conference paper
Published: 01 October 2017 in CIRED - Open Access Proceedings Journal
Reads 0
Downloads 0

Full text loading... /deliver/fulltext/oap-cired/2017/1/OAP-CIRED.2017.1036.html;jsessionid=aienmgp6km6cf.x-iet-live-01?itemId=%2fcontent%2fjournals%2f10.1049%2foap-cired.2017.1036&mimeType=html&fmt=ahah

ACS Style

Javier Boticario; Joe Cunningham; Javier Lorenzo; Santiago Rementeria. IEC-61850 control system at st Windyhill, scotland. CIRED - Open Access Proceedings Journal 2017, 2017, 1180 -1183.

AMA Style

Javier Boticario, Joe Cunningham, Javier Lorenzo, Santiago Rementeria. IEC-61850 control system at st Windyhill, scotland. CIRED - Open Access Proceedings Journal. 2017; 2017 (1):1180-1183.

Chicago/Turabian Style

Javier Boticario; Joe Cunningham; Javier Lorenzo; Santiago Rementeria. 2017. "IEC-61850 control system at st Windyhill, scotland." CIRED - Open Access Proceedings Journal 2017, no. 1: 1180-1183.

Journal article
Published: 28 December 2016 in IEEE Sensors Journal
Reads 0
Downloads 0

This paper presents a wireless apnoea detector using a passive breathing sensor. The device is based on the measurement of the airflow temperature changes that are produced during breathing. The sensor is a negative temperature coefficient resistor, which is to be placed close to the nose. The functional principle is based on the change of resistance, since the body increases the temperature of the airflow, which the device receives during breathing. The wireless communication is performed using the backscattered field technique, and is based on the modulation of the response from a transponder. This backscattering technique saves a lot of energy in comparison to its alternatives and guarantees a long lifetime for the device. The transponder is composed of an array of dipoles, loaded with varactor diodes, which implement a frequency selective surface. NTC measured temperature controls the oscillation frequency of a low-frequency, two-inverter oscillator. The output of the latter modulates the varactor diodes which, in turn, modulate the backscattered response of the transponder. An algorithm, which is based on the detection of the peaks on the breathing signal in order to calculate real-time respiration and apnoea intervals, has been implemented. The reader used is also presented and experimental results are shown. The sensor can be used to perform continuous real-time measurements for long period on time due to its low-power consumption.

ACS Style

Stefano Milici; Javier Lorenzo; Antonio Lazaro; Ramon Villarino; David Girbau. Wireless Breathing Sensor Based on Wearable Modulated Frequency Selective Surface. IEEE Sensors Journal 2016, 17, 1285 -1292.

AMA Style

Stefano Milici, Javier Lorenzo, Antonio Lazaro, Ramon Villarino, David Girbau. Wireless Breathing Sensor Based on Wearable Modulated Frequency Selective Surface. IEEE Sensors Journal. 2016; 17 (5):1285-1292.

Chicago/Turabian Style

Stefano Milici; Javier Lorenzo; Antonio Lazaro; Ramon Villarino; David Girbau. 2016. "Wireless Breathing Sensor Based on Wearable Modulated Frequency Selective Surface." IEEE Sensors Journal 17, no. 5: 1285-1292.

Journal article
Published: 01 November 2016 in Nefrología (English Edition)
Reads 0
Downloads 0
ACS Style

Silvia González Sanchidrián; Pedro Jesús Labrador Gómez; Jesús Pedro Marín Álvarez; María Carmen Jiménez Herrero; Inés Castellano Cerviño; Sandra Gallego Domínguez; José María Sánchez-Montalbán; Javier Deira Lorenzo; Elena Davin Carrero; Santiago Polanco Candelario; Juan Ramón Gómez-Martino Arroyo. Reaction to synthetic membranes in hemodialysis. Nefrología (English Edition) 2016, 36, 707 -709.

AMA Style

Silvia González Sanchidrián, Pedro Jesús Labrador Gómez, Jesús Pedro Marín Álvarez, María Carmen Jiménez Herrero, Inés Castellano Cerviño, Sandra Gallego Domínguez, José María Sánchez-Montalbán, Javier Deira Lorenzo, Elena Davin Carrero, Santiago Polanco Candelario, Juan Ramón Gómez-Martino Arroyo. Reaction to synthetic membranes in hemodialysis. Nefrología (English Edition). 2016; 36 (6):707-709.

Chicago/Turabian Style

Silvia González Sanchidrián; Pedro Jesús Labrador Gómez; Jesús Pedro Marín Álvarez; María Carmen Jiménez Herrero; Inés Castellano Cerviño; Sandra Gallego Domínguez; José María Sánchez-Montalbán; Javier Deira Lorenzo; Elena Davin Carrero; Santiago Polanco Candelario; Juan Ramón Gómez-Martino Arroyo. 2016. "Reaction to synthetic membranes in hemodialysis." Nefrología (English Edition) 36, no. 6: 707-709.

Case reports
Published: 01 November 2016 in Nefrología
Reads 0
Downloads 0
ACS Style

Silvia González Sanchidrián; Pedro Jesús Labrador Gómez; Jesús Pedro Marín Álvarez; María Carmen Jiménez Herrero; Inés Castellano Cerviño; Sandra Gallego Domínguez; José María Sánchez-Montalbán; Javier Deira Lorenzo; Elena Davin Carrero; Santiago Polanco Candelario; Juan Ramón Gómez-Martino Arroyo. Reacción a membranas sintéticas en hemodiálisis. Nefrología 2016, 36, 707 -709.

AMA Style

Silvia González Sanchidrián, Pedro Jesús Labrador Gómez, Jesús Pedro Marín Álvarez, María Carmen Jiménez Herrero, Inés Castellano Cerviño, Sandra Gallego Domínguez, José María Sánchez-Montalbán, Javier Deira Lorenzo, Elena Davin Carrero, Santiago Polanco Candelario, Juan Ramón Gómez-Martino Arroyo. Reacción a membranas sintéticas en hemodiálisis. Nefrología. 2016; 36 (6):707-709.

Chicago/Turabian Style

Silvia González Sanchidrián; Pedro Jesús Labrador Gómez; Jesús Pedro Marín Álvarez; María Carmen Jiménez Herrero; Inés Castellano Cerviño; Sandra Gallego Domínguez; José María Sánchez-Montalbán; Javier Deira Lorenzo; Elena Davin Carrero; Santiago Polanco Candelario; Juan Ramón Gómez-Martino Arroyo. 2016. "Reacción a membranas sintéticas en hemodiálisis." Nefrología 36, no. 6: 707-709.

Journal article
Published: 14 May 2016 in Nephrology Dialysis Transplantation
Reads 0
Downloads 0

Introduction and Aims: Acute kidney injury (AKI) is a common problem in-hospital patients. AKI is associated with higher mortality and length of stay (LOS), and chronic kidney disease (CKD) progression. The aim of our study was to analyse the prevalence of acute kidney injury in our hospital, length of stay, in-hospital mortality and renal recovery.

ACS Style

Silvia Gonzalez Sanchidrian; Pedro Jesus Labrador Gomez; Maria Del Carmen Jiménez Herrero; Santiago Polanco Candelario; Elena Davin Carrero; Laura Piquero Calleja; Jesus Pedro Marin Alvarez; Jose Maria Sanchez Montalban; Javier Deira Lorenzo; Juan Ramon Gomez-Martino Arroyo. MP228RENAL RECOVERY AFTER ACUTE KIDNEY INJURY DETECT-H PROJECT. Nephrology Dialysis Transplantation 2016, 31, i415 -i415.

AMA Style

Silvia Gonzalez Sanchidrian, Pedro Jesus Labrador Gomez, Maria Del Carmen Jiménez Herrero, Santiago Polanco Candelario, Elena Davin Carrero, Laura Piquero Calleja, Jesus Pedro Marin Alvarez, Jose Maria Sanchez Montalban, Javier Deira Lorenzo, Juan Ramon Gomez-Martino Arroyo. MP228RENAL RECOVERY AFTER ACUTE KIDNEY INJURY DETECT-H PROJECT. Nephrology Dialysis Transplantation. 2016; 31 (suppl_1):i415-i415.

Chicago/Turabian Style

Silvia Gonzalez Sanchidrian; Pedro Jesus Labrador Gomez; Maria Del Carmen Jiménez Herrero; Santiago Polanco Candelario; Elena Davin Carrero; Laura Piquero Calleja; Jesus Pedro Marin Alvarez; Jose Maria Sanchez Montalban; Javier Deira Lorenzo; Juan Ramon Gomez-Martino Arroyo. 2016. "MP228RENAL RECOVERY AFTER ACUTE KIDNEY INJURY DETECT-H PROJECT." Nephrology Dialysis Transplantation 31, no. suppl_1: i415-i415.

Journal article
Published: 08 February 2016 in Multimedia Tools and Applications
Reads 0
Downloads 0

Parliamentary websites have become one of the most important windows for citizens and media to follow the activities of their legislatures and to hold parliaments to account. Therefore, most parliamentary institutions aim to provide new multimedia solutions capable of displaying video fragments on demand on plenary activities. This paper presents a multimedia system for parliamentary institutions to produce video fragments on demand through a website with linked information and public feedback that helps to explain the content shown in these fragments. A prototype implementation has been developed for the Canary Islands Parliament (Spain) and shows how traditional parliamentary streaming systems can be enhanced by the use of semantics and computer vision for video analytics. The semantic web technologies used make search capabilities on parliamentary websites available to users to retrieve video fragments on demand with accurate and timely information. In addition, video analytic techniques enable the automation of identifying representative keyframes to be annotated by parliamentary experts. As a result, parliaments are able to enhance citizens’ access to information and ensure that these institutions are more open and accountable on their websites and; at the same time, the labor-intensive tasks of parliamentary experts are considerably reduced.

ACS Style

Elena Sánchez-Nielsen; Francisco Chávez-Gutiérrez; Javier Lorenzo-Navarro; Modesto Castrillón-Santana. A multimedia system to produce and deliver video fragments on demand on parliamentary websites. Multimedia Tools and Applications 2016, 76, 6281 -6307.

AMA Style

Elena Sánchez-Nielsen, Francisco Chávez-Gutiérrez, Javier Lorenzo-Navarro, Modesto Castrillón-Santana. A multimedia system to produce and deliver video fragments on demand on parliamentary websites. Multimedia Tools and Applications. 2016; 76 (5):6281-6307.

Chicago/Turabian Style

Elena Sánchez-Nielsen; Francisco Chávez-Gutiérrez; Javier Lorenzo-Navarro; Modesto Castrillón-Santana. 2016. "A multimedia system to produce and deliver video fragments on demand on parliamentary websites." Multimedia Tools and Applications 76, no. 5: 6281-6307.

Journal article
Published: 01 January 2016 in Progress In Electromagnetics Research
Reads 0
Downloads 0
ACS Style

Javier Lorenzo; Antonio Lazaro; David Girbau; Ramon Villarino; Ernest Gil. ANALYSIS OF ON-BODY TRANSPONDERS BASED ON FREQUENCY SELECTIVE SURFACES. Progress In Electromagnetics Research 2016, 157, 133 -143.

AMA Style

Javier Lorenzo, Antonio Lazaro, David Girbau, Ramon Villarino, Ernest Gil. ANALYSIS OF ON-BODY TRANSPONDERS BASED ON FREQUENCY SELECTIVE SURFACES. Progress In Electromagnetics Research. 2016; 157 ():133-143.

Chicago/Turabian Style

Javier Lorenzo; Antonio Lazaro; David Girbau; Ramon Villarino; Ernest Gil. 2016. "ANALYSIS OF ON-BODY TRANSPONDERS BASED ON FREQUENCY SELECTIVE SURFACES." Progress In Electromagnetics Research 157, no. : 133-143.

Journal article
Published: 01 January 2016 in Revista Eureka sobre Enseñanza y Divulgación de las Ciencias
Reads 0
Downloads 0
ACS Style

Angel Ezquerra Martinez; Esther Burgos Jiménez; Javier Manso Lorenzo. Estudio comparativo sobre las estrategias desarrolladas por los futuros docentes de Primaria y Secundaria en la elaboración de audiovisuales educativos. Revista Eureka sobre Enseñanza y Divulgación de las Ciencias 2016, 13, 493 -504.

AMA Style

Angel Ezquerra Martinez, Esther Burgos Jiménez, Javier Manso Lorenzo. Estudio comparativo sobre las estrategias desarrolladas por los futuros docentes de Primaria y Secundaria en la elaboración de audiovisuales educativos. Revista Eureka sobre Enseñanza y Divulgación de las Ciencias. 2016; 13 (2):493-504.

Chicago/Turabian Style

Angel Ezquerra Martinez; Esther Burgos Jiménez; Javier Manso Lorenzo. 2016. "Estudio comparativo sobre las estrategias desarrolladas por los futuros docentes de Primaria y Secundaria en la elaboración de audiovisuales educativos." Revista Eureka sobre Enseñanza y Divulgación de las Ciencias 13, no. 2: 493-504.

Preprint
Published: 14 September 2015
Reads 0
Downloads 0

The young open cluster Dolidze 25, in the direction of the Galactic Anticentre, has been attributed a very low metallicity, with typical abundances between $-0.5$ and $-0.7$ dex below solar. We intend to derive accurate cluster parameters and accurate stellar abundances for some of its members. We have obtained a large sample of intermediate- and high-resolution spectra for stars in and around Dolidze 25. We used the FASTWIND code to generate stellar atmosphere models to fit the observed spectra. We derive stellar parameters for a large number of OB stars in the area, and abundances of oxygen and silicon for a number of stars with spectral types around B0. We measure low abundances in stars of Dolidze 25. For the three stars with spectral types around B0, we find $0.3$ dex (Si) and $0.5$ dex (O) below the values typical in the solar neighbourhood. These values, even though not as low as those given previously, confirm Dolidze 25 and the surrounding H II region Sh2-284 as the most metal-poor star-forming environment known in the Milky Way. We derive a distance $4.5\pm0.3\:$kpc to the cluster ($r_{\textrm{G}}\approx12.3\:$kpc). The cluster cannot be older than $\sim3\:$Myr, and likely is not much younger. One star in its immediate vicinity, sharing the same distance, has Si and O abundances at most $0.15\:$dex below solar. The low abundances measured in Dolidze 25 are compatible with currently accepted values for the slope of the Galactic metallicity gradient, if we take into account that variations of at least $\pm0.15\:$dex are observed at a given radius. The area traditionally identified as Dolidze 25 is only a small part of a much larger star-forming region that comprises the whole dust shell associated with Sh2-284 and very likely several other smaller H II regions in its vicinity.

ACS Style

Ignacio Negueruela; Sergio Simón-Díaz; Javier Lorenzo; Norberto Castro; Artemio Herrero. Open cluster Dolidze 25: Stellar parameters and the metallicity in the Galactic Anticentre. 2015, 1 .

AMA Style

Ignacio Negueruela, Sergio Simón-Díaz, Javier Lorenzo, Norberto Castro, Artemio Herrero. Open cluster Dolidze 25: Stellar parameters and the metallicity in the Galactic Anticentre. . 2015; ():1.

Chicago/Turabian Style

Ignacio Negueruela; Sergio Simón-Díaz; Javier Lorenzo; Norberto Castro; Artemio Herrero. 2015. "Open cluster Dolidze 25: Stellar parameters and the metallicity in the Galactic Anticentre." , no. : 1.