Western Pyrenees geodetic deformation study using the Guipuzcoa GNSS network

2018 ◽  
Vol 12 (3) ◽  
pp. 229-238 ◽  
Author(s):  
Adriana Martín ◽  
Miguel Sevilla ◽  
Joaquín Zurutuza
Keyword(s):  
Basque Country ◽  
The North ◽  
Study Results ◽  
Double Differences ◽  
Processing Module ◽  
Gnss Network ◽  
North Of Spain ◽  
Processing Engine ◽  
Basque Cantabrian Basin ◽  
Western Pyrenees

Abstract The Basque Country in the north of Spain is located inside the Basque-Cantabrian basin of the western Pyrenees which remarkable seismic-tectonic implications justify the need of geodetic control in the area. In order to perform a crustal deformation study we have analysed all daily observations from the GNSS permanent network of Guipuzcoa and external IGS stations, from January 2007 to November 2011. We have carried out the data processing applying double differences methodology in the automatic processing module BPE (Bernese Processing Engine) from Bernese GNSS software version 5.0. Solution was aligned to geodetic reference framework ITRF2008, by using the IGS08 solution and updated satellite and terrestrial antennas calibration. This five years network study results: Coordinate time series, velocities and baseline lengths variations show internal stability among inner stations and from them with respect to outer IGS stations, concluding that no deformations have been observed.

Prevalence and Genetic Diversity of Arcobacter in Food Products in the North of Spain

2013 ◽  
Vol 76 (8) ◽  
pp. 1447-1450 ◽  
Author(s):  
BARBARA NIEVA-ECHEVARRIA ◽  
IRATI MARTINEZ-MALAXETXEBARRIA ◽  
CECILIA GIRBAU ◽  
RODRIGO ALONSO ◽  
AURORA FERNÁNDEZ-ASTORGA
Keyword(s):  
Public Health ◽  
Genetic Diversity ◽  
Basque Country ◽  
Food Products ◽  
High Genetic Diversity ◽  
The North ◽  
Arcobacter Butzleri ◽  
North Of Spain ◽  
The Impact ◽  
The Relationship

The bacterial contamination of food products can cause serious public health problems. Interest in Arcobacter contamination has increased due to the relationship between these bacteria and human enteritis. We studied the prevalence and genetic diversity of Arcobacter species at the retail level in the province of Alava in Basque Country, Spain. The results showed a high genetic diversity and indicated the regular presence of the main Arcobacter spp. associated with human enteric illness in food products. Arcobacter butzleri, Arcobacter cryaerophilus, and Arcobacter skirrowii were detected with an overall prevalence close to 40% and were isolated from 15 (42.8%) fresh cow's milk samples, 12 (73.3%) shellfish samples, 11 (55%) chicken samples, 2 (10%) pork samples, and 1 (5%) beef sample. The results indicate the need to investigate the impact of Arcobacter spp. on public health.

scholarly journals Estimation of Heat Loss Coefficient and Thermal Demands of In-Use Building by Capturing Thermal Inertia Using LSTM Neural Networks

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5188
Author(s):  
Martín Pensado-Mariño ◽  
Lara Febrero-Garrido ◽  
Estibaliz Pérez-Iribarren ◽  
Pablo Eguía Oller ◽  
Enrique Granada-Álvarez
Keyword(s):  
Neural Networks ◽  
Heat Loss ◽  
Short Term Memory ◽  
Basque Country ◽  
Thermal Inertia ◽  
Loss Coefficient ◽  
Time Lags ◽  
The North ◽  
The University ◽  
North Of Spain

Accurate forecasting of a building thermal performance can help to optimize its energy consumption. In addition, obtaining the Heat Loss Coefficient (HLC) allows characterizing the thermal envelope of the building under conditions of use. The aim of this work is to study the thermal inertia of a building developing a new methodology based on Long Short-Term Memory (LSTM) neural networks. This approach was applied to the Rectorate building of the University of Basque Country (UPV/EHU), located in the north of Spain. A comparison of different time-lags selected to catch the thermal inertia has been carried out using the CV(RMSE) and the MBE errors, as advised by ASHRAE. The main contribution of this work lies in the analysis of thermal inertia detection and its influence on the thermal behavior of the building, obtaining a model capable of predicting the thermal demand with an error between 12 and 21%. Moreover, the viability of LSTM neural networks to estimate the HLC of an in-use building with an error below 4% was demonstrated.

First report of Mycosphaerella dearnessii Rostrup, teleomorph of Lecanosticta acicola (Thüm.) Syd., in Europe

2021 ◽  
Author(s):  
Nebai Mesanza ◽  
Mónica Hernández ◽  
Rosa Raposo ◽  
Eugenia Iturritxa
Keyword(s):  
Pinus Radiata ◽  
Basque Country ◽  
First Report ◽  
The North ◽  
Lecanosticta Acicola ◽  
Blight Disease ◽  
North Of Spain ◽  
Needle Blight

Conifers severely affected by brown needle blight disease caused by the ascomycete Lecanosticta acicola (Thüm.) Syd. show defoliation, reduced growth and death. Although L. acicola is known in Europe since 1942, its teleomorph, Mycosphaerella dearnessii Rostrup, has not yet been found. In this brief, we address the occurrence of Mycosphaerella dearnessii in Pinus radiata D. Don cast dead needles collected in the north of Spain (Basque country). To our knowledge, this is the first report of Mycosphaerella dearnessii Rostrup, teleomorph of Lecanosticta acicola (Thüm.) Syd., in Europe.

scholarly journals Good Character at College: The Combined Role of Second-Order Character Strength Factors and Phronesis Motivation in Undergraduate Academic Outcomes

2021 ◽  
Vol 18 (16) ◽  
pp. 8263
Author(s):  
Jorge L. Villacís ◽  
Jesús de la Fuente ◽  
Concepción Naval
Keyword(s):  
Academic Outcomes ◽  
Academic Engagement ◽  
Structural Equation ◽  
Self Control ◽  
Self Report ◽  
Character Strength ◽  
The North ◽  
And Performance ◽  
Relevance Measure ◽  
North Of Spain

A renewed interest in the study of character and virtue has recently emerged in the fields of Education and Psychology. The latest research has confirmed the association between virtuous consistent behaviours and academic positive outcomes. However, the motivational dimension of character (the intentions underlying the patterns of observed behaviours) has received little attention. This research aims to extend the knowledge on this topic by examining the predictive relationships between the behavioural and motivational dimensions of character, with reference to academic engagement, career self-doubt and performance of Spanish university students. A total of 183 undergraduates aged 18–30 (142 of whom were women) from the north of Spain completed specific parts of self-report questionnaires, including the Values in Action VIA-72, a Spanish translated and validated version of the Moral Self-Relevance Measure MSR, and the Utrecht Work Engagement Student Scale UWES-S9. The collected data were analysed using Structural Equation Modelling. The behavioural dimension of character (character strength factors of caring, self-control and inquisitiveness) showed positive associations with academic engagement and performance. The motivational dimension of character (phronesis motivation), was negatively related to career self-doubt. For the first time, the present study has provided support for the contribution of both dimensions of character to undergraduate academic outcomes.

scholarly journals Prevalence of persistent parasitic infections in foreign-born, HIV-infected persons in the north of Spain

2012 ◽  
Vol 15 (6(Suppl 4)) ◽  
Author(s):  
A Rodriguez-Guardado ◽  
C Suarez ◽  
M Fernandez ◽  
M Rodriguez ◽  
O Martinez ◽  
...  
Keyword(s):  
Parasitic Infections ◽  
Foreign Born ◽  
The North ◽  
North Of Spain

scholarly journals Monitoring and Analysis of Dynamic Characteristics of Super High-rise Buildings using GB-RAR: A Case Study of the WGC under Construction, China

2020 ◽  
Vol 10 (3) ◽  
pp. 808 ◽  
Author(s):  
Lv Zhou ◽  
Jiming Guo ◽  
Xuelin Wen ◽  
Jun Ma ◽  
Fei Yang ◽  
...  
Keyword(s):  
Wavelet Analysis ◽  
Dynamic Characteristics ◽  
Horizontal Displacement ◽  
Dynamic Monitoring ◽  
High Rise ◽  
The North ◽  
Study Results ◽  
Under Construction ◽  
East West

Accurate dynamic characteristics of super high-rise buildings serve as a guide in their construction and operation. Ground-based real aperture radar (GB-RAR) techniques have been applied in monitoring and analyzing the dynamic characteristics of different buildings, but only few studies have utilized them to derive the dynamic characteristics of super high-rise buildings, especially those higher than 400 m and under construction. In this study, we proposed a set of technical methods for monitoring and analyzing the dynamic characteristics of super high-rise buildings based on GB-RAR and wavelet analysis. A case study was conducted on the monitoring and analysis of the dynamic characteristics of the Wuhan Greenland Center (WGC) under construction (5–7 July 2017) with a 636 m design height. Displacement time series was accurately derived through GB-RAR and wavelet analysis, and the accuracy reached the submillimeter level. The maximum horizontal displacement amplitudes at the top of the building in the north–south and east–west directions were 18.84 and 15.94 mm, respectively. The roof displacement trajectory of the WGC was clearly identified. A certain negative correlation between the temperature and displacement changes at the roof of the building was identified. Study results demonstrate that the proposed method is effective for the dynamic monitoring and analysis of super high-rise buildings with noninvasive and nondestructive characteristics.

A paleomagnetic study of the Basque Arc (Basque-Cantabrian Basin, Western Pyrenees)

2007 ◽  
Vol 96 (6) ◽  
pp. 1163-1178 ◽  
Author(s):  
M. Calvo-Rathert ◽  
J. Cuevas ◽  
J. M. Tubía ◽  
M. F. Bógalo ◽  
A. Gogichaishvili
Keyword(s):  
Paleomagnetic Study ◽  
Basque Cantabrian Basin ◽  
Western Pyrenees

scholarly journals FORECASTING OF DAMAGES FROM NATURAL HAZARDS FOR THE “NORTHERN CAUCASUS RESORTS” TOURIST CLUSTER

2020 ◽  
Vol 12 (3) ◽  
pp. 349-356
Author(s):  
Vyacheslav BABURIN ◽  
◽  
Svetlana BADINA ◽  
Keyword(s):  
Natural Hazards ◽  
Large Scale ◽  
Northern Caucasus ◽  
Individual Risk ◽  
Economic Damage ◽  
North Caucasus ◽  
Limit Values ◽  
Risk Of Death ◽  
The North ◽  
Study Results

The article proposes a methodological approach to potential damage from natural hazards forecasting in case of large-scale investment projects realization in ski tourism planning, as well as to assessing changes in the vulnerability of the territory in which these projects will be implemented. The method was verified on the data of the “Northern Caucasus Resorts” tourist cluster. The study purpose is the creation and verification of a methodology for socio-economic damage predicting in limit values and vulnerability changing in the regions of the “North Caucasus Resorts” tourist cluster objects localization for the long term. Research methods – statistical (a structural approach based on the identification of common structural patterns of several sets). The lack of statistical information on significant parameters for forecasting determine necessitates of using the various logically non-contradictory revaluations based on the identified structural similarities for the calculation of their values within the planning horizon. The study results and main conclusions – in case of the “North Caucasus Resorts” tourist cluster creation the number of people potentially located in avalanche and mudflow danger areas will significantly increase in all of its facilities localization municipalities, which indicate an increase in the individual risk of death level for this territory. The present population in the ski season in some of the most remote and underdeveloped areas can increase up to 30 times. The increment in the value of the fixed assets for the municipalities under consideration will be from two to 90 times, potential damages in limit values will reach tens of billions rubles.

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