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Dementia related neuropsychiatric symptoms: inequalities in pharmacological treatment and institutionalization
(Dove Medical Press Limitedprevalence, 2019)Background: Dementia-related neuropsychiatric symptoms (NPS) are the main determinant of family stress and institutionalization of patients. This study aimed to identify inequalities by gender and socioeconomic status ... -
How to negotiate with dominant suppliers? A game-theory perspective from the industry
(Universidad Politécnica de Madrid; Asociación de Ingenieros para el Desarrollo de la Ingeniería de Organización, 2019)The negotiation with dominant suppliers usually drives to locked-in situation in which buyers have no choice but to accept the given conditions. Commonly found in the industry, there is a need to provide new insights to ... -
Electromechanical Properties of PVDF-Based Polymers Reinforced with Nanocarbonaceous Fillers for Pressure Sensing Applications
(MDPI, 2019)Polymer-based composites reinforced with nanocarbonaceous materials can be tailored for functional applications. Poly(vinylidene fluoride) (PVDF) reinforced with carbon nanotubes (CNT) or graphene with different filler ... -
Mecanismo de ancho de vía variable para vehículo eléctrico urbano de tres ruedas
(UNED, 2018)Debido a las dimensiones de los vehículos actuales, la baja tasa de ocupación de los mismos y el aumento de la población mundial, los fabricantes de vehículos están desarrollando diseños compactos orientados a la movilidad ... -
Design and characterisation of cellular composite structures for automotive crashboxes manufactured by out of die ultraviolet cured pultrusion
(Elsevier B.V., 2019-03-01)The present paper analyses the feasibility of designing a honeycomb-like crash-box, as a cellular structure, based on data obtained from the characterisation of the building block. In order to generalise the conclusions ... -
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process
(Springer Verlag, 2019)Industrial processes are being developed under a new scenario based on the digitalisation of manufacturing processes.Through this, it is intended to improve the management of resources, decision-making, ... -
Induction Skull Melting of Ti-6Al-4V: Process Control and Efficiency Optimization
(MDPI AG, 2019)Titanium investment casting is one of the leading and most e cient near-net-shape manufacturing processes, since complex shape components are possible to obtain with a very low amount of material waste. But melting these ... -
Application of the D3H2 Methodology for the Cost-Effective Design of Dependable Systems
(MDPI AG, 2019)The use of dedicated components as a means of achieving desirable levels of fault tolerancein a system may result in high costs. A cost effective way of restoring failed functions is to use heterogeneous redundancies: ... -
Testing successful Business Model using System Dynamics
(Universitat Politècnica de València, 2019)In our increasingly globalised economy, managing continuous change whilst remaining competitive and dynamic has become a central issue for firms in the industrial sector. One of the elements for obtaining this competitiveness ... -
A Multicriteria Decision Model for the Evaluation and Selection of Technologies in a R&D Centre
(Universitat Politècnica de València, 2019)R&D Centres play a key role in the technology development process of industries, and therefore in their competitive strategies. They have responsibility in the identification, selection, acquisition, development and transfer ... -
Development of a Modular Fretting Wear and Fretting Fatigue Tribometer for Thin Steel Wires: Design Concept and Preliminary Analysis of the Effect of Crossing Angle on Tangential Force
(MDPI AG, 2019)This work presents the design of a modular ad-hoc fretting fatigue and fretting wear tribotester for thin steel wires. The working principles of the diffrent modules are described, such as the displacement and contact ... -
Definición de una metodología optimizada para la simulación del desgaste en materiales
(Consejo Superior de Investigaciones Científicas (CSIC), 2010)The wear simulation with finite element method (FEM) presents great advantages for the improvement of components, because of the reduction in the cost in comparison to the experimental procedure (test time, materials, ... -
Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators
(PLOS, 2016)Early recognition of ventricular fibrillation (VF) and electrical therapy are key for the survivalof out-of-hospital cardiac arrest (OHCA) patients treated with automated external defibrilla-tors (AED). AED algorithms for ... -
Closing the Brand Gap through innovation and design
(Elsevier B.V., 2016)Existing brands already have certain products and services that generate a particular experience in the mindof custome.However, distortions exist between what the brands what to communicate and ... -
Service design for servilization. University-business collaboration case studies in Basque manufacturing companies
(Portal Universia, S.A., 2016) -
FPGA-Based Degradation and Reliability Monitor for Underground Cables
(MDPI AG, 2019)The online Remaining Useful Life (RUL) estimation of underground cables and their reliability analysis requires obtaining the cable failure time probability distribution. Monte Carlo (MC) simulations of complex thermal ... -
Industrial Cyber-Physical System Evolution Detection and Alert Generation
(MDPI AG, 2019)Industrial Cyber-Physical System (ICPS) monitoring is increasingly being used to make decisions that impact the operation of the industry. Industrial manufacturing environments such as production lines are dynamic and ... -
Short Messages Spam Filtering Combining Personality Recognition and Sentiment Analysis
(World Scientific Publishing, 2017)Currently, short communication channels are growing up due to the huge increase in the number of smartphones and online social networks users. This growth attracts malicious campaigns, such as spam campaigns, that are a ... -
A study of the personalization of spam content using Facebook public information
(Oxford University Press, 2017)Millions of users per day are affected by unsolicited email campaigns. Spam filters are capable of detecting and avoiding an increasing number of messages, but researchers have quantified a response rate of a 0.006% [1], ... -
A Big Data implementation of the MANTIS Reference Architecture for Predictive Maintenance
(Sage Journals, 2019)
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