Bluetongue virus serotypes 1 and 4 in red deer, Spain

We studied the potential of red deer as bluetongue maintenance hosts and sentinels. Deer maintained detectable bluetongue virus (BTV) serotype 4 RNA for 1 year after the virus was cleared from livestock. However, the virus was not transmitted to yearlings. BTV serotype 1 RNA was detected in red deer immediately after its first detection in cattle.This study was funded by the Spanish Ministry of Natural, Rural and Marine Environment (RASVE 274/2007, and an agreement between Organismo Autónomo de Parques Nacionales (OAPN), Dirección General de Recursos Agricolas y Ganaderos (DGRAG), and Consejo Superior de Investigaciones Cientificas (CSIC). F.R.-F. is supported by a postdoctoral contract of the Instituto de Salud Carlos III of the Spanish government.Peer Reviewe

Bibliometric analysis of articles related to knowledge organization published in Spanish journals listed on the Web of Science

[Resumen] Teniendo en cuenta el 20 aniversario del Capítulo Español de ISKO hemos querido ver cómo se refleja el tema de la organización del conocimiento en las dos revistas españolas sobre documentación indizadas en la Web of Science (WoS): El Profesional de la Información (EPI) y la Revista Española de Documentación Científica (REDC). Para ello se han recuperado las referencias de los artículos de estas dos revistas y se han estudiado los datos recopilados poniendo especial atención en dos aspectos principales: el análisis de los temas tratados en dichos artículos a través del estudio de las palabras clave y el análisis de los autores a través de sus afiliaciones y procedencia geográfica. A partir de los resultados obtenidos se ha podido determinar el grado de representación de esta materia en estas dos revistas, así como los tipos de colaboraciones entre los autores y las instituciones que más publican sobre este tema.[Abstract] To mark the 20th anniversary of the Spanish chapter of the ISKO, we wanted to see how the subject of knowledge organization was covered by the two Spanish documentation journals listed on the Web of Science (WoS): El Profesional de la Información (EPI) and Revista Española de Documentación Científica (REDC). The complete list of articles published in these journals was downloaded and analyzed, with special attention to two main aspects: a keyword analysis of themes dealt with in the published articles, and an analysis of author affiliations and geographic origin. From this analysis it has been possible to determine the degree to which the subject of knowledge organization is represented in these two journals, the types of collaborations between authors, and the institutions that publish most in this area

Generating IFC-compliant models and structural graphs of truss bridges from dense point clouds

The IFC schema has been evolving towards the infrastructure domain. Furthermore, the use of laser scanning technologies as means to digitalize and monitor infrastructures has also significantly increased. This work presents an automated modelling approach for truss bridges that utilizes laser scanning data as its source for geometrical information. The methodology takes a partially instance-segmented point cloud of a truss bridge and generates both an IFC-compliant information model of the truss and the corresponding structural graph. This process uses bounding boxes and their collisions to overcome the missing data from the partial segmentation to create the truss model, as well as to identify the nodes that connect the different truss members. The methodology was tested on a use case made of 272 members and obtained the truss model and structural graph files.Universidade de Vigo | Ref. PREUVIGO-21Agencia Estatal de Investigación | Ref. FJC2020–046370-IAgencia Estatal de Investigación | Ref. PID2021-124236OB-C33Agencia Estatal de Investigación | Ref. FJC2020–046370-IFinanciado para publicación en acceso aberto: Universidade de Vigo/CISU

Evaluation of MALDI biotyper interpretation criteria for accurate identification of nontuberculous mycobacteria

Identification of mycobacteria by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) requires not only a good protein extraction protocol but also an adequate cutoff score in order to provide reliable results. The aim of this study was to assess the cutoff scores proposed by the MALDI-TOF MS system for mycobacterial identification. A total of 693 clinical isolates from a liquid medium and 760 from a solid medium were analyzed, encompassing 67 different species of nontuberculous mycobacteria (NTM). MALDI-TOF MS identified 558 (80.5%) isolates from the liquid medium and 712 (93.7%) isolates from the solid medium with scores of ≥1.60. Among these, four (0.7%) misidentifications were obtained from the liquid medium and four (0.5%) from the solid medium. With regard to species diversity, MALDI-TOF MS successfully identified 64 (95.5%) different species, while PCR-reverse hybridization (GenoType Mycobacterium CM and AS assays) identified 24 (35.8%) different species. With MALDI-TOF MS scores of ≥2, all isolates were correctly identified, and with scores in the range from 1.60 to 1.99, most isolates were correctly identified, except for Mycobacterium angelicum, M. parascrofulaceum, M. peregrinum, M. porcinum, and M. gastri. In conclusion, MALDI-TOF MS is a useful method for identifying a large diversity of NTM species. A score threshold of 1.60 proved useful for identifying almost all the isolates tested; only a few species required a higher score (≥2.00) to obtain a valid definitive identification

Learning from failure propagation in steel truss bridges

Although truss-type bridge collapses usually have catastrophic consequences, their analysis present opportunities for improving different aspects in the field of bridge engineering, such as structural assessment, structural health monitoring, maintenance and conservation or even design strategies. As the world experiences more extreme events, efforts have been made to design more resilient bridges that can withstand local failures. Forensic techniques have contributed to understanding the causes and risk factors of bridge failures, and the creation of collapse databases has provided valuable insights for preventing such failures. However, these databases often focus on the hazards and do not provide information on initial damage and how it propagates, which is essential for improving the progressive collapse resistance of truss-type bridges. The main novelty of this paper is to present a methodology to identify triggering events leading to progressive collapse on truss-type bridges. It is the first time that a methodology includes a novel database which collects detailed information on initial damages and its propagation, as well as the consequences of the collapse. The methodology was implemented by collecting information from 25 case studies present in the literature. Results have allowed to identify most frequent initial constituted damages states or failures (ICDS) leading progressive collapse. In terms of consequences, results were thoroughly analysed and compared with predictions from different casualty models. The findings showed that the proposed methodology serves as an effective tool for identifying the triggering events of progressive collapse in truss-type bridges.Agencia Estatal de Investigación | Ref. PID2021-124236OBAgencia Estatal de Investigación | Ref. FJC2020–046370-IUniversidade de Vigo/CISU

Multimodal deep learning for point cloud panoptic segmentation of railway environments

The demand for transportation asset digitalisation has significantly increased over the years. For this purpose, mobile mapping systems (MMSs) are among the most popular technologies that allow capturing high precision three-dimensional point clouds of the infrastructure. In this paper, a multimodal deep learning methodology is presented for panoptic segmentation of the railway infrastructure. The methodology takes advantage of image rasterisation of the point clouds to perform a rough segmentation and discard more than 80% of points that are not relevant to the infrastructure. With this approach, the computational requirements for processing the remaining point cloud are highly reduced, allowing the process of dense point clouds in short periods of time. A 90 km-long railway scenario was used for training and testing. The proposed methodology is two times faster than the current state-of-the-art for the same point cloud density, and pole-like object segmentation metrics are improved.Fundación BBVAAgencia Estatal de Investigación | Ref. PID2019-108816RB-I00Ministerio de Universidades | Ref. FPU20/01024Universidade de Vigo/CISU

Nonlinear time-domain macromodeling of OTA circuits

The authors present an accurate nonlinear macromodel of the operational transconductance amplifier (OTA) which is suitable for the transient simulation of OTA-based CMOS analog integrated circuits. As compared to device-level OTA models, the proposed macromodel is advantageous in terms of CPU time. Also, in circuits with many OTAs, it does not have the problems of convergence that the device-level MODEL has. All the macromodel parameters can be calculated from measurements made at the OTA terminals. Experimental results from a 3-μm CMOS OTA prototype as well as simulation results from device-level models are included and compared to simulation results from the macromodel

Analytical Characterization and Sensory Analysis of Distillates of Di erent Varieties of Grapes Aged by an Accelerated Method

The wine spirits used for the elaboration of Brandy de Jerez are mainly obtained from wines produced from the Airen type of grape, which comes from the vineyards located in the region of La Mancha (Central Spain). This entails a limitation when achieving a product classified as "protected geographic designation". For that purpose, it is necessary that the grape used for the wine spirit comes from the area and not from Castile la Mancha, as has happened until now. Due to this fact, it is necessary to search for a possible alternative grape variety which allows the produced brandy to be eligible for a "protected geographic designation". For that purpose, an accelerated ageing process has been implemented with a method previously optimized to distillates obtained from wines from different varieties of grapes (Airen, Colombard, Corredera, Doradilla, Garrido Fino, Jaen blanco, Moscatel de Alejandria, Palomino Fino, Ugni Blanc, and Zalema) grown in the Jerez Area. They were evaluated, both from the analytical and sensory points of view. The distillates made from Jaen Blanco and Zalema have properties that make them interesting for future development and incorporation into oenological practice

Anticipating the collapse of urban infrastructure: a methodology based on Earth Observation and MT-InSAR

Large-scale infrastructure monitoring and vulnerability assessment are crucial for the preservation and maintenance of built environments. To ensure the safety of urban infrastructure against natural and man-made disasters, constant monitoring is crucial. To do so, satellite Earth observation (EO) is being proposed, particularly radar-based imaging, because it allows large-scale constant monitoring since radar signals are not blocked by clouds and can be collected during both day and night. The proposed methodology for large-scale infrastructure monitoring and vulnerability assessment is based on MT-InSAR time series analysis. The homogeneity of the year-to-year displacement trend between each point and its surrounding points is evaluated to determine whether the area is a stable or vulnerable zone. To validate the methodology, four case studies of recently collapsed infrastructures are analyzed. The results indicate the potential of the proposed methodology for predicting and preventing structural collapses.Ministerio de Ciencia e Innovación | Ref. PID2021-124236OB-C3