748 research outputs found
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HUHEZIko (MU) Lehen Hezkuntzako Graduko ikasleen hizkuntza- eta kultura-identitatea
Ingurune urruti zein hurbilean gertatzen ari diren aldaketa sozioekonomiko
nahiz kulturalek eragin zuzena dute gure hizkuntza- eta kultura-identitatean.
MU-HUHEZIra datozen ikasle etorri berrien euskararen erabilerari eta euskal
kulturaren pertzepzioari jarri diegu arreta, ikasle berrien profil horietan sumatzen
diren aldaketen arrazoiak identifikatzeko. Helburu horrekin diseinatu zen lau
urteko proiektuan, ikasleek EOSKOLA liburua irakurri behar izan zuten 2017-2018
ikasturtean; ondoren, elkarrizketa bat izan zuten egilearekin, eta, azkenik, galdetegi
bati erantzun behar izan zioten. Egindako lanketatik ateratako emaitzek adierazi
digute ikasleen hizkuntza-erabilera zein kultura-pertzepzioa askotarikoak direla,
eta horri erantzuteko hizkuntza-konpetentziaren zein curriculumaren berrikuspena
egitea —euskal dimentsioari arreta gehiago jarriz— beharrezkoa dela.Socioeconomic and cultural changes taking place in the far and near environments
have a direct impact on our language and cultural identity. We focused on the use of the
Basque language by the new students at MU-HUHEZI, and on their perception of Basque
culture, in order to identify the reasons for changes observed in the profiles of these new
students. In a four-year project designed for this purpose, the students first read the book
EOSKOLA during the 2017-2018 academic year. They then had an interview with the author
and completed a questionnaire. The results indicate that the students’ language use and cultural
perceptions are diverse, and that in order to address this, it is necessary to review both
language competence and the curriculum, with greater attention to the Basque dimension
Zeharkako ebaketa prozesuaren parametroen eragina erresistentzia handiko altzairuzko xafla lodietan
Transversal cutting processes are usually employed for metal coil cutting or precut reduction operations. The final result of a cutting operation, in terms of sheared edge quality and process forces, is dependent on the process parameters and on the material’s behavior. In order to determine the effects of the process parameters, an hydraulic blanking prototype is employed to perform transversal cutting operations on a High Strength Steel plate with 10 mm of thickness. These results will help to understand the force requirements of the process and to meet customers’ sheared edge quality requirements.Zeharkako ebaketa prozesuak metalezko bobinak ebakitzeko edo aurre-formatuen murrizketetarako erabiltzen dira. Ebaketa eragiketaren emaitzak, ebaketa kalitateari eta prozesuaren indarrei dagokienez, prozesuaren parametroen eta materialaren portaeraren araberakoak dira. Prozesuaren parametroen ondorioak zehazteko, ebaketa prototipo hidrauliko bat erabiltzen da zeharkako ebakidura eragiketak eginez 10 mm-ko lodiera duen erresistentzia handiko altzairuzko xafla batean. Emaitza hauek prozesuaren indar eskakizunak ulertzen eta bezeroen ebaketa kalitatearen baldintzak betetzen lagunduko dute
Microservices for Continuous Deployment, Monitoring and Validation in Cyber-Physical Systems: an Industrial Case Study for Elevators Systems
Cyber-Physical Systems (CPSs) are systems that integrate digital cyber computations with physical processes. The software embedded in CPSs has a long life-cycle, requiring constant evolution to support new requirements, bug fixes, and deal with hardware obsolescence. To date, the development of software for CPSs is fragmented, which makes it extremely expensive. This could be substantially enhanced by tightly connecting the development and operation phases, as is done in other software engineering domains (e.g., web engineering through DevOps). Nevertheless, there are still complex issues that make it difficult to use DevOps techniques in the CPS domain, such as those related to hardware-software co-design. To pave the way towards DevOps in the CPS domain, in this paper we instantiate part of the reference architecture presented in the H2020 Adeptness project, which is based on microservices that allow for the continuous deployment, monitoring and validation of CPSs. To this end, we elaborate a systematic methodology that considers as input both domain expertise and a previously defined taxonomy for DevOps in the CPS domain. We obtain a generic microservice template that can be used in any kind of CPS. In addition, we instantiate this architecture in the context of an industrial case study from the elevation domain
Comparative Study of the Metallurgical Quality of Primary and Secondary AlSi10MnMg Aluminium Alloys
The use of secondary aluminium is increasingly being promoted in the automotive industry for environmental reasons. The purpose of this study was to demonstrate that it is possible to obtain a recycled AlSi10MnMg(Fe) aluminium alloy with equal metallurgical quality to that of a primary AlSi10MnMg alloy when an adequate melt treatment is applied. The melt treatment consisted of deoxidation, degassing and skimming in accordance with the detailed procedure described in this article. The metallurgical qualities of one primary and two secondary alloys were assessed using thermal analysis, the density index test, the macroinclusion test and the microinclusion level test before and after melt treatment. The thermal analysis allowed us to compare the variables of the solidification cooling curve (Al primary temperature and its undercooling; Al-Si eutectic temperature and its predictive modification rate). The density index test was used to evaluate the hydrogen gas content in the melt. The macroinclusion test was used to evaluate the melt cleanliness, while the microinclusion level test was used to perform the inclusion identification and quantification analyses. This study showed the feasibility of manufacturing structural components using 100% recycled secondary aluminium alloy through V-HPDC technology
Unified Evaluation Framework for Stochastic Algorithms Applied to Remaining Useful Life Prognosis Problems
A unified evaluation framework for stochastic tools is developed in this paper. Firstly, we provide a set of already existing quantitative and qualitative metrics that rate the relevant aspects of the performance of a stochastic prognosis algorithm. Secondly, we provide innovative guidelines to detect and minimize the effect of side aspects that interact on the algorithms’ performance. Those aspects are related with the input uncertainty (the uncertainty on the data and the prior knowledge), the parametrization method and the uncertainty propagation method. The proposed evaluation framework is contextualized on a Lithium-ion battery Remaining Useful Life prognosis problem. As an example, a Particle Filter is evaluated. On this example, two different data sets taken from NCA aged batteries and two semi-empirical aging models available in the literature fed up the Particle Filter under evaluation. The obtained results show that the proposed framework gives enough details to take decisions about the viability of the chosen algorithm
Bactericidal Surfaces: An Emerging 21st Century Ultra-Precision Manufacturing and Materials Puzzle
Progress made by materials scientists in recent years has greatly helped the field of ultra-precision manufacturing. Ranging from healthcare to electronics components, phenomena such as twinning, dislocation nucleation, and high-pressure phase transformation have helped to exploit plasticity across a wide range of metallic and semiconductor materials. One current problem at the forefront of the healthcare sector that can benefit from these advances is that of bacterial infections in implanted prosthetic devices. The treatment of implant infections is often complicated by the growth of bacterial biofilms on implant surfaces, which form a barrier that effectively protects the infecting organisms from host immune defenses and exogenous antibiotics. Further surgery is usually required to disrupt the biofilm, or to remove the implant altogether to permit antibiotics to clear the infection, incurring considerable cost and healthcare burdens. In this review, we focus on elucidating aspects of bactericidal surfaces inspired by the biological world to inform the design of implant surface treatments that will suppress bacterial colonization. Alongside manufacturing and materials related challenges, the review identifies the most promising natural bactericidal surfaces and provides representative models of their structure, highlighting the importance of the critical slope presented by these surfaces. The scalable production of these complex hierarchical structures on freeform metallic implant surfaces has remained a scientific challenge to date and, as identified by this review, is one of the many 21st-century puzzles to be addressed by the field of applied physics
Evaluation of a strategy-oriented method to identify and prioritise knowledge management initiatives in SMEs
Purpose: This article presents the process followed for the definition, application and evaluation of a strategy-oriented method for identifying and prioritising knowledge management (KM) initiatives in small to medium-sized enterprises (SMEs).
Design/methodology/approach: To develop the method, the research team conducted a literature review of the existing business strategies and processes and models of maturity in KM. Based on this, the first version of the method is proposed. Subsequently, the method was explored through a focus group composed of regional development centres, business innovation centres and industry representatives. Then, the four-step method, called KM-EZAGUTUZ, for the identification and prioritisation of KM initiatives in SMEs was proposed. Afterwards, a field test was performed in five companies.
Findings: The conclusions obtained through the research show the validity of the method, which helps SMEs identify and prioritise KM initiatives.
Research limitations/implications: More field tests should be done to confirm the validity of the method and improve it. Furthermore, the research concludes that strategy-focused KM is a good approach for SMEs, allowing them to approach KM from a consistent and pragmatic perspective. The research also provides insights into the main difficulties faced by SMEs in implementing KM.
Practical implications: The method, which is developed and supported in a prototype tool, helps companies quickly determine and prioritise the actions for better KM in accordance with company strategies. In addition, the method supports a common understanding of the strategic vision of the organisation among the participants taking part in the process.
Social implications: Management practices are usually designed for medium- and large-sized companies. The significant resources required make it difficult for SMEs to benefit from the implementation of such practices. Given that SMEs account for a large share of employment in countries and that they need to manage knowledge effectively, this research helps address this important socio-economic need.
Originality/value: The method described in the article combines strategy, knowledge management and a user-friendly identification and prioritisation tool adapted to SMEs
Team emotional intelligence: Emotional processes as a link between managers and workers
Research has shown that transformational leaders are able, through emotional contagion mechanisms, to transmit their emotions and boost positive feelings among their followers. Although research on leadership and team processes have shown a positive relation between transformational leadership and workers’ well-being, there is a lack of studies examining the “black box” of this association. The present study aimed to assess the mediation effect of team emotional intelligence (TEI) of the management team on the relationship between management’s transformational behaviors and employees’ responses. Data were gathered from two sources: 1,566 managers grouped into 188 teams pertaining to a total of 90 firms, and 4,564 workers from the same 90 firms. The results showed that management team TEI and the emotional state of “passion” among employees had a full mediation effect on the relationship between management teams’ transformational leadership and employees’ cohesion. Implications of these results are discussed
Ikasleen talentua sustatzeko gida: Batxilergorako, Lanbide Heziketarako eta unibertsitaterako hainbat aukera
Ikasleen talentuaren garapena hezkuntza erakundeen
erronka nagusietako bat da. Ildo horretatik,
ikerketek adierazten dute testuinguru
aberatsa eskaintzea gakoa dela ikasleen talentuarekin
lotutako gaitasunak garatzeko. Gida
honek ikuspegi hori hartzen du oinarritzat, eta
hezkuntza testuinguruak ikasleen talentua sustatzeko
aproposagoak izateko bideak proposatu
nahi ditu.
Helburu horrekin, bi ataleko gida bat proposatzen
da. Batetik, talentuaren definizioa jaso,
eta talentua osatzen duten dimentsioak zehazten
dira. Azpimarratzekoa da talentuaren kontzeptualizazio
lan hori askotariko sektoreetako
ordezkarien arteko eztabaidaren ondorio dela.
Bestetik, talentuaren dimentsio horiek hezkuntza
testuinguruetan sustatzeko bideak iradokitzen
dira. Horretarako, aintzat hartu dira
ikertzaileen ekarpenak eta talentuaren sustapenaren
esparruko nazioarteko praktika esanguratsuak
Retinal thickness predicts the risk of cognitive decline in Parkinson's disease
Objective: To analyze longitudinal changes of retinal thickness and their predictive value as biomarkers of disease progression in idiopathic Parkinson’s disease (iPD).
Methods: Patients with Lewy body diseases (LBDs) were enrolled and prospectively evaluated at 3 years, including patients with iPD (n=42), dementia with Lewy bodies (DLB, n=4), E46K-SNCA mutation carriers (n=4) and controls (n=17). All participants underwent Spectralis retinal optical coherence tomography and Montreal Cognitive Assessment (MoCA), and Unified Parkinson’s Disease Rating Scale (UPDRS) score was obtained in patients. Macular ganglion-inner plexiform layer complex (GCIPL) and peripapillary retinal nerve fiber layer (pRNFL) thickness reduction rates were estimated with linear mixed models. Risk ratios were calculated to evaluate the association between baseline GCIPL and pRNFL thickness and the risk of subsequent cognitive and motor worsening, using clinically meaningful cut-offs.
Results: GCIPL thickness in the parafoveal region (1- to 3-mm ring) presented the largest reduction rate. The annualized atrophy rate was 0.63 µm in iPD patients and 0.23 µm in controls (p<0.0001). iPD patients with lower parafoveal GCIPL and pRNFL thickness at baseline presented an increased risk of cognitive decline at 3 years (RR 3.49, 95% CI 1.10 – 11.1, p=0.03 and RR 3.28, 95% CI 1.03 – 10.45, p=0.045, respectively). We did not identify significant associations between retinal thickness and motor deterioration.
Interpretation: Our results provide evidence of the potential use of OCT-measured parafoveal GCIPL thickness to monitor neurodegeneration and to predict the risk of cognitive worsening over time in iPD