L'Àlgebra de grups : problemes de Brauer números 1 i 2

En aquesta nota introduïm l'àlgebra complexa CG d'un grup finit G i els cèlebres problemes primer i segon de Brauer. Finalment proposem els que al nostre parer són els reptes més importants en l'estudi de CG.In this note, we introduce CG, the complex algebra of a finite group G, discuss about Brauer’s celebrated problems numbers 1 and 2, and finally we propose what we think are the most important challenges on studying CG

THE RIGHT TO COMPETENCE IN THE DEMOCRACY AND SUSTAINABILITY RELATION

This article deals with the relation between democracy and sustainability in the context of an ultra-complex global society in which environmental problems are placed and, on the other hand, there is a political weakness (incompetence) to confront them. In this investigation, an approach is made about the complexities of environmental decisions in the face of a democratic crisis, as seen in recent events in some countries. It is questioned to what extent "Sustainability" and "Democracy" can converge in the political sphere, especially through the feasibility of the delivery of sustainable results in terms of sustainable development, through the competent political exercise in the political decision making of a deliberative body. It is concluded that the convergence between Sustainability and Democracy will not occur in a scenario of incompetence in decision making, although the Right to Competence is a normative element able to offer a solution to this problem. The methodology is theoretical, in order to use the dialectical method, referent techniques, documentary and bibliographic research

Local energy communities modelling and optimisation considering storage, demand configuration and sharing strategies: a case study in Valencia (Spain)

[EN] Local energy communities require tools to select their most fitting community members, power-sharing strategy and technologies for their goals. This work aims to develop a model and a methodology to optimise local energy communities. We evaluate the presence of a battery energy storage system with different capacities and ownership options. Besides, we test two different sharing strategies like static and variable coefficients. Finally, we characterise local energy communities' demand by comparing residential and commercial loads and varying the number of consumption points. We apply the method to a case study consisting of a 100 kWp photovoltaic installation in Valencia simulated with an hourly resolution for a whole year. We use real consumption data from households and commercial buildings and the current administrative requirements, obtaining the flows and status of each component within the local energy community at every moment. We assess each alternative's economic performance, autarchy degree, and the amount of avoided greenhouse gasses emissions. Results indicate that a local energy community well optimised can fulfil economic, environmental or self-consumption goals. Results only advise installing a storage to increase the degree of self-consumption. Moreover, we obtain the best financial and environmental results in large communities with a 75% residential consumption.This is an extended and updated version of a paper originally presented at the 16th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES 2021) held in Dubrovnik, Croatia over the period 10th to 15th October 2021 (denoted then as paper SDEWES2021.00668 Evaluation of the participation of residential and commercial consumers in Energy Communities, a case study in Valencia, Spain). This work was supported in part by the Spanish public administration under grant FPU2016/00962, by the PURPOSED project (ref: PID2021-128822OB-I00), financed by the Spanish State Investigation Agency. And by the Catedra de Transicion Energetica Urbana (Las Naves-VCiE-UPV).Manso-Burgos, Á.; Ribó-Pérez, DG.; Gómez-Navarro, T.; Alcázar-Ortega, M. (2022). Local energy communities modelling and optimisation considering storage, demand configuration and sharing strategies: a case study in Valencia (Spain). Energy Reports. 8:10395-10408. https://doi.org/10.1016/j.egyr.2022.08.1811039510408

Local Energy Communities in Spain: Economic Implications of the New Tariff and Variable Coefficients

[EN] The European Union advocates for legislative support to local energy communities. Measures include the promotion of dynamic energy allocation and discriminatory electricity tariffs such as the recent Spanish framework. However, the impact of these normative changes is not yet evaluated. This paper inquires into the impact of dynamic allocation coefficient and different electricity tariffs on the profitability of local energy communities. To do so, a linear optimisation model is developed and applied to real consumer data in Spain around a variable capacity photovoltaic generation plant. Comparing the economic performance of the static or variable power allocation under the effect of changing electricity tariffs. While both measures are beneficial, the new electricity tariffs result in larger profitability increases than the planned variable coefficients. The combination of measures allows for profitability improvements of up to 25% being complementary measures. However, installations that maximise the potential for electricity generation are still not as profitable due to the low purchase price of surplus energy. While discriminatory electricity price tariffs and variable allocation coefficients are positive measures, further measures are needed for these communities to install generation plants as large as the potential that each case allows.This work was supported in part by the Spanish public administration under the grant FPU2016/00962 and by the Catedra de Transicion Energetica Urbana (Las Naves-FVCiE-UPV)Manso-Burgos, Á.; Ribó-Pérez, DG.; Alcázar-Ortega, M.; Gómez-Navarro, T. (2021). Local Energy Communities in Spain: Economic Implications of the New Tariff and Variable Coefficients. Sustainability. 13(19):1055-1073. https://doi.org/10.3390/su131910555S10551073131

Linking an unlearning context with firm performance through human capital

AbstractThe purpose of this paper is to examine the relationship among organisational unlearning, human capital and firm performance. In doing so, this paper comprehensively reviewed the literature on the unlearning concept, and developed and validated a model to measure unlearning in 112 companies listed on the Spanish Stock Exchange. The methodology involved the construction and analysis of a structural model using both subjective and objective criteria in our measurement variables, developed from a relevant literature review. Our findings show that managers need to develop an unlearning context process to create human capital, which is a primordial asset to improve firm performance

Nilpotent and abelian Hall subgroups in finite groups

First published in Transactions of the American Mathematical Society in volume 368 and number 4, APR 2016, published by the American Mathematical Society[EN] We give a characterization of the finite groups having nilpotent or abelian Hall pi-subgroups that can easily be verified using the character table.The research of the first, second, fourth, fifth, and sixth authors was supported by the Prometeo/Generalitat Valenciana, Proyectos MTM2010-15296, MTM2010-19938-C03-02 Fundacio Bancaixa P11B2010-47 and Fondos Feder. The third author gratefully acknowledges financial support by ERC Advanced Grant 291512. The seventh author was supported by the NSA (grant H98230-13-1-0229). The eighth author gratefully acknowledges the support of the NSF (grants DMS-0901241 and DMS-1201374).Beltran, A.; Felipe Román, MJ.; Malle, G.; Moreto Quintana, A.; Navarro Ortega, G.; Sanus Vitoria, L.; Solomon, R.... (2016). Nilpotent and abelian Hall subgroups in finite groups. Transactions of the American Mathematical Society. 368(4):2497-2513. https://doi.org/10.1090/tran/6381S24972513368

Preimplantation development regulatory pathway construction through a text-mining approach

BACKGROUND: The integration of sequencing and gene interaction data and subsequent generation of pathways and networks contained in databases such as KEGG Pathway is essential for the comprehension of complex biological processes. We noticed the absence of a chart or pathway describing the well-studied preimplantation development stages; furthermore, not all genes involved in the process have entries in KEGG Orthology, important information for knowledge application with relation to other organisms. RESULTS: In this work we sought to develop the regulatory pathway for the preimplantation development stage using text-mining tools such as Medline Ranker and PESCADOR to reveal biointeractions among the genes involved in this process. The genes present in the resulting pathway were also used as seeds for software developed by our group called SeedServer to create clusters of homologous genes. These homologues allowed the determination of the last common ancestor for each gene and revealed that the preimplantation development pathway consists of a conserved ancient core of genes with the addition of modern elements. CONCLUSIONS: The generation of regulatory pathways through text-mining tools allows the integration of data generated by several studies for a more complete visualization of complex biological processes. Using the genes in this pathway as "seeds" for the generation of clusters of homologues, the pathway can be visualized for other organisms. The clustering of homologous genes together with determination of the ancestry leads to a better understanding of the evolution of such process

A Morphological and Morphometric Dental Analysis as a Forensic Tool to Identify the Iberian Wolf (Canis Lupus Signatus)

Depredation by the Iberian wolf (Canis lupus signatus) is currently thought to be a problem in some areas of Spain. However, there are few technically validated forensic tools available to determine the veracity of claims with a high degree of scientific confidence, which is important given that such attacks may lead to compensation. The analysis of bite marks on attacked animals could provide scientific evidence to help identify the offender. Thus, the aim of this study was to assess the morphological and morphometric characteristics of Iberian wolf dentition. This data collection would serve as a base-point for a more accurate identification of the wolves thorough their bite marks. For the first time, 36 dental variables have been studied in wolves' skulls, employing univariate and multivariate analyses. The general morphological dental characteristics of wolves are very similar in terms of their dental formula and tooth structure to other canids, like domestic dogs. Sex differentiation was evident, principally in terms of the maxillary distance between the palatal surfaces of the canine teeth (UbC) and the width of the left mandibular canine teeth (LlCWd). New morphometric reference information was obtained that can aid the forensic identification of bite marks caused by the Iberian wolf with greater confidence

A comprehensive custom panel design for routine hereditary cancer testing: preserving control, improving diagnostics and revealing a complex variation landscape

We wanted to implement an NGS strategy to globally analyze hereditary cancer with diagnostic quality while retaining the same degree of understanding and control we had in pre-NGS strategies. To do this, we developed the I2HCP panel, a custom bait library covering 122 hereditary cancer genes. We improved bait design, tested different NGS platforms and created a clinically driven custom data analysis pipeline. The I2HCP panel was developed using a training set of hereditary colorectal cancer, hereditary breast and ovarian cancer and neurofibromatosis patients and reached an accuracy, analytical sensitivity and specificity greater than 99%, which was maintained in a validation set. I2HCP changed our diagnostic approach, involving clinicians and a genetic diagnostics team from panel design to reporting. The new strategy improved diagnostic sensitivity, solved uncertain clinical diagnoses and identified mutations in new genes. We assessed the genetic variation in the complete set of hereditary cancer genes, revealing a complex variation landscape that coexists with the disease-causing mutation. We developed, validated and implemented a custom NGS-based strategy for hereditary cancer diagnostics that improved our previous workflows. Additionally, the existence of a rich genetic variation in hereditary cancer genes favors the use of this panel to investigate their role in cancer risk