767 research outputs found
Analysis and Quality Control from ARIMA Modeling
In this paper, we use ARIMA modelling to estimate a set of characteristics of a short-term indicator (for example, the index of industrial production), as trends, seasonal variations, cyclical oscillations, unpredictability, deterministic effects (as a strike), etc. Thus for each sector and product (more than 1000), we construct a vector of values corresponding to the above-mentioned characteristics, that can be used for data editing
Characterization of production in different branches of production in different branches spanish industrial activity, by means of time series analysis.
This work presents a quantitative study of the evolution of spanish industrial activity, measured by the indices of industrial production, by means of Time Series analysis. Univariate ARIMA models with intervention analysis for all the series of these indices have been constructed. The use of Univariate Time Series models to characterise economic phenomena is justified and the type of characterisation made for each industrial branch is described. The procedures for automatic modelling of series are presented. Then the characteristics of the Spanish industrial branches are shown. These results are collected in a diskette for use of researchers.ARIMA model; Intervention analysis; Univariate model; Industrial production; automatic modelling;
Lack of Answer Estimation by Fuzzy Control
The problem of the lack of answer in questions of survey is usually dealt with different estimation and
classification procedures from the answers to other questions. In this document, the results of applying fuzzy
control methods for the vote -one of the variables with bigger lack of answer in opinion polls- are presented
Citizens’ attention in Madrid City through the study of personalized records
[EN] The datification of our daily lives in the Big Data era is producing a huge
amount of information about processes and activities that were previously
invisible or at least difficult to grasp, leading to new opportunities and
challenges for analysis.
Examples of some data available are the tens of million of Personalized
Attention Records that can be downloaded from the open data portal offered
by the local government of Madrid City. These records become a sort of
counterpart from the call receiver’s perspective of the Call Detail Records
produced by telecom providers. They are stored as a result of a front office
tool retaining some information from a range of different communication
channels to manage the interaction with users.
The paper explores the data contained on these Personalized Attention
Records to help improve customer attention services. It emphasizes the study
of the topics that concern the citizens and the different channels dealing with
the services, using Natural Language Processing and other tools.Rey Del Castillo, P. (2020). Citizens’ attention in Madrid City through the study of personalized records. Editorial Universitat Politècnica de València. https://doi.org/10.4995/CARMA2020.2020.11359OCS192
Dynamics of DNA replication during premeiosis and early meiosis in wheat
Meiosis is a specialised cell division that involves chromosome replication, two rounds of chromosome segregation and results in the formation of the gametes. Meiotic DNA replication generally precedes chromosome pairing, recombination and synapsis in sexually developing eukaryotes. In this work, replication has been studied during premeiosis and early meiosis in wheat using flow cytometry, which has allowed the quantification of the amount of DNA in wheat anther in each phase of the cell cycle during premeiosis and each stage of early meiosis. Flow cytometry has been revealed as a suitable and user-friendly tool to detect and quantify DNA replication during early meiosis in wheat. Chromosome replication was detected in wheat during premeiosis and early meiosis until the stage of pachytene, when chromosomes are associated in pairs to further recombine and correctly segregate in the gametes. In addition, the effect of the Ph1 locus, which controls chromosome pairing and affects replication in wheat, was also studied by flow cytometry. Here we showed that the Ph1 locus plays an important role on the length of meiotic DNA replication in wheat, particularly affecting the rate of replication during early meiosis in wheat.This research was supported by grant ERC-StG- 243118 from the FP7 and The European Regional Development Fund (FEDER) from the European
Union.Peer Reviewe
Integrating game-based learning for intercultural skills development in higher education
Europe has historically been and still is a multicultural space in which a large number of cultures have coexisted
and mixed. However, multicultural coexistence often crashes against problems of social integration, discrimination,
economically deprived realities, violation of human and social rights and racism (Ostergren & Le Bossé 2011). Thus, it is key
to increase cultural awareness as a way to value each other's culture and promote tolerance to educate future generations
within the values of social justice and knowledge democracy. With this purpose the subject Inclusion, Multiculturalism and
Coeducation was included in the curricula of the degree in Early Childhood Education and Primary Education at the
Universidad Loyola AndalucĂa (Spain). Unfortunately, Covid-19 obliged to migrate to online teaching and learning, hindering
the practical approach of the subject. To address this problem, this article explores game-based approaches to help to
develop collaborative learning enriching the understanding of cross-cultural realities. The project has a two-fold objective. It
aims to foster integration in the multicultural classroom as well as game-based teaching training. With this purpose, a gamebased project was designed using the ADDIE model (Yeh & Tseng 2019) as a spine. In addition, an online intercultural
exchange between students at the Benemerita Universidad Autonoma de Puebla (Mexico) and Knox College Illinois (United
States) served to nourish the intercultural content of the project. Mexicans and Americans gathered the content of their
online conversations in a document and shared it with students in Seville. Afterwards, Mexican and Spanish students had
the opportunity to interact online in groups in a Q&A session. Finally, there was an online session with an expert to evaluate
the games and reflect on game design principles. Qualitative data was gathered from the 27 undergraduate students in
Seville. Results in this study highlight the power of game-based learning and intercultural exchanges to increase student's
engagement and motivation through social interaction and enjoyment. However, the use of the ADDIE model for game
design was perceived as too challenging by students
Analysis of Chromatic Aberration Effects in Triple-Junction Solar Cells Using Advanced Distributed Models
The consideration of real operating conditions for the design and optimization of a multijunction solar cell receiver-concentrator assembly is indispensable. Such a requirement involves the need for suitable modeling and simulation tools in order to complement the experimental work and circumvent its well-known burdens and restrictions. Three-dimensional distributed models have been demonstrated in the past to be a powerful choice for the analysis of distributed phenomena in single- and dual-junction solar cells, as well as for the design of strategies to minimize the solar cell losses when operating under high concentrations. In this paper, we present the application of these models for the analysis of triple-junction solar cells under real operating conditions. The impact of different chromatic aberration profiles on the short-circuit current of triple-junction solar cells is analyzed in detail using the developed distributed model. Current spreading conditions the impact of a given chromatic aberration profile on the solar cell I-V curve. The focus is put on determining the role of current spreading in the connection between photocurrent profile, subcell voltage and current, and semiconductor layers sheet resistance
Characterization of Sheep Wool as a Sustainable Material for Acoustic Applications
[EN] In recent years, natural materials are becoming a valid alternative to traditional sound
absorbers due to reduced production costs and environmental protection. This paper reports the
acoustical characterization of sheep wool. Measurements on normal incidence and diffuse-incidence
sound absorption coefficients of different samples are reported. The airflow resistance has also been
measured. The results prove that sheep wool has a comparable sound absorption performance to that
of mineral wool or recycled polyurethane foam. An empirical model is used to calculate the sound
absorption of sheep wool samples. A reasonable agreement on the acoustic absorption of all sheep
wool samples is obtained.This work was financially supported by the project BIA2013-41537-R (BIAEFIREMAT "Development of new eco-materials and sustainable constructive solutions based on the use of waste and renewable raw materials"), funded by the Ministry of Economy and Competitiveness of Spain and co-financed with ERDF funds, within the National RDI Programme focused on the Challenges of Society 2013Rey Tormos, RMD.; Uris MartĂnez, A.; Alba, J.; Candelas Valiente, P. (2017). Characterization of Sheep Wool as a Sustainable Material for Acoustic Applications. Materials. 10(11):1-11. https://doi.org/10.3390/ma10111277S1111011Pinto, J., Cruz, D., Paiva, A., Pereira, S., Tavares, P., Fernandes, L., & Varum, H. (2012). Characterization of corn cob as a possible raw building material. Construction and Building Materials, 34, 28-33. doi:10.1016/j.conbuildmat.2012.02.014Briga-Sá, A., Nascimento, D., Teixeira, N., Pinto, J., Caldeira, F., Varum, H., & Paiva, A. (2013). Textile waste as an alternative thermal insulation building material solution. Construction and Building Materials, 38, 155-160. doi:10.1016/j.conbuildmat.2012.08.037Binici, H., Eken, M., Dolaz, M., Aksogan, O., & Kara, M. (2014). An environmentally friendly thermal insulation material from sunflower stalk, textile waste and stubble fibres. Construction and Building Materials, 51, 24-33. doi:10.1016/j.conbuildmat.2013.10.038Korjenic, A., Klarić, S., HadĹľić, A., & Korjenic, S. (2015). Sheep Wool as a Construction Material for Energy Efficiency Improvement. Energies, 8(6), 5765-5781. doi:10.3390/en8065765Lopez Hurtado, P., Rouilly, A., Vandenbossche, V., & Raynaud, C. (2016). A review on the properties of cellulose fibre insulation. Building and Environment, 96, 170-177. doi:10.1016/j.buildenv.2015.09.031Lopez Hurtado, P., Rouilly, A., Raynaud, C., & Vandenbossche, V. (2016). The properties of cellulose insulation applied via the wet spray process. 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Sustainable acoustic absorbers from the biomass. Applied Acoustics, 72(6), 350-363. doi:10.1016/j.apacoust.2010.12.009Berardi, U., & Iannace, G. (2015). Acoustic characterization of natural fibers for sound absorption applications. Building and Environment, 94, 840-852. doi:10.1016/j.buildenv.2015.05.029Mati-Baouche, N., de Baynast, H., Michaud, P., Dupont, T., & Leclaire, P. (2016). Sound absorption properties of a sunflower composite made from crushed stem particles and from chitosan bio-binder. Applied Acoustics, 111, 179-187. doi:10.1016/j.apacoust.2016.04.021Rwawiire, S., Tomkova, B., Militky, J., Hes, L., & Kale, B. M. (2017). Acoustic and thermal properties of a cellulose nonwoven natural fabric (barkcloth). Applied Acoustics, 116, 177-183. doi:10.1016/j.apacoust.2016.09.027LĂłpez, J. P., El Mansouri, N.-E., Alba, J., Del Rey, R., MutjĂ©, P., & Vilaseca, F. (2012). ACOUSTIC PROPERTIES OF POLYPROPYLENE COMPOSITES REINFORCED WITH STONE GROUNDWOOD. 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Categorical Missing Data Imputation Using Fuzzy Neural Networks with Numerical and Categorical Inputs
There are many situations where input feature vectors are incomplete and methods to tackle the problem have been studied for a long time. A commonly used procedure is to replace each missing value with an imputation. This paper presents a method to perform categorical missing data imputation from numerical and categorical variables. The imputations are based on Simpson’s fuzzy min-max neural networks where the input variables for learning and classification are just numerical. The proposed method extends the input to categorical variables by introducing new fuzzy sets, a new operation and a new architecture. The procedure is tested and compared with others using opinion poll data
Lack of answer estimation by fuzzy control
The problem of the lack of answer in questions of survey is usually dealt with different estimation and classification procedures from the answers to other questions. In this document, the results of applying fuzzy control methods for the vote -one of the variables with bigger lack of answer in opinion polls- are presented
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