Does diversity in top management teams contribute to organizational performance? The response of IBEX 35 companies

This study contributes to the spread of theoretical and empirical knowledge regarding the Upper Echelons Theory, considering the training and demographic diversity in the Top Management Team (TMT) as a singular characteristic of each company, in our case those belonging to the IBEX35 index. Taking into account the skills of the members, a greater financial performance is expected. Once we obtained the statistical results, we concluded that the inclusion of women in the TMT increased Net Sales and EBITDA. Features such as age, training and nationality are also examined in this work.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

A constitutive model for analyzing martensite formation in austenitic steels deforming at high strain rates

This study presents a constitutive model for steels exhibiting SIMT, based on previous seminal works, and the corresponding methodology to estimate their parameters. The model includes temperature effects in the phase transformation kinetics, and in the softening of each solid phase through the use of a homogenization technique. The model was validated with experimental results of dynamic tensile tests on AISI 304 sheet steel specimens, and their predictions correlate well with the experimental evidence in terms of macroscopic stress–strain curves and martensite volume fraction formed at high strain rates. The work shows the value of considering temperature effects in the modeling of metastable austenitic steels submitted to impact conditions. Regarding most of the works reported in the literature on SIMT, modeling of the martensitic transformation at high strain rates is the distinctive feature of the present paper.The researchers of the University Carlos III of Madrid are indebted to the Comunidad Autónoma de Madrid (Project CCG10-UC3M/DPI-5596)) and to the Ministerio de Ciencia e Innovación de España (Project DPI/2008-06408) for the financial support received which allowed conducting part of this work. The authors express their thanks to Mr. Philippe and Mr. Tobisch from the company Zwick for the facilities provided to perform the tensile tests at high strain rates

A constitutive model for analyzing martensite formation in austenitic steels deforming at high strain rates

This study presents a constitutive model for steels exhibiting SIMT, based on previous seminal works, and the corresponding methodology to estimate their parameters. The model includes temperature effects in the phase transformation kinetics, and in the softening of each solid phase through the use of a homogenization technique. The model was validated with experimental results of dynamic tensile tests on AISI 304 sheet steel specimens, and their predictions correlate well with the experimental evidence in terms of macroscopic stress–strain curves and martensite volume fraction formed at high strain rates. The work shows the value of considering temperature effects in the modeling of metastable austenitic steels submitted to impact conditions. Regarding most of the works reported in the literature on SIMT, modeling of the martensitic transformation at high strain rates is the distinctive feature of the present paper.The researchers of the University Carlos III of Madrid are indebted to the Comunidad Autónoma de Madrid (Project CCG10-UC3M/DPI-5596)) and to the Ministerio de Ciencia e Innovación de España (Project DPI/2008-06408) for the financial support received which allowed conducting part of this work. The authors express their thanks to Mr. Philippe and Mr. Tobisch from the company Zwick for the facilities provided to perform the tensile tests at high strain rates

Control of Immunoregulatory Molecules by miRNAs in T Cell Activation

MiRNA targeting of key immunoregulatory molecules fine-tunes the immune response. This mechanism boosts or dampens immune functions to preserve homeostasis while supporting the full development of effector functions. MiRNA expression changes during T cell activation, highlighting that their function is constrained by a specific spatiotemporal frame related to the signals that induce T cell-based effector functions. Here, we update the state of the art regarding the miRNAs that are differentially expressed during T cell stimulation. We also revisit the existing data on miRNA function in T cell activation, with a special focus on the modulation of the most relevant immunoregulatory molecules.We thank Dr M. Vicente-Manzanares for critical reading of the manuscript and for assistance with English editing. This study was supported by the following grants from the Spanish Ministry of Economy and Competitiveness, (grant SAF2017-82886-R to FSM), CIBER CARDIOVASCULAR and PIE 13.0004-BIOIMID from the Instituto de Salud Carlos III (Fondo de Investigacion Sanitaria del Instituto de Salud Carlos III with co-funding from the Fondo Europeo de Desarrollo Regional; FEDER), Programa de Actividades en Biomedicina de la Comunidad de Madrid-B2017/BMD-3671-INFLAMUNE to FS-M, and ERC-2011-AdG294340-GENTRIS to FS-M. The Centro Nacional de Investigaciones Cardiovasculares (CNIC) is supported by the Spanish Ministry of Economy and Competitiveness (MINECO) and the Pro-CNIC Foundation and is a Severo Ochoa Center of Excellence (MINECOaward SEV-2015-0505). AR-G is supported by the FPU program (Spanish Ministry of Education). LF-M is funded by the CIBER CARDIOVASCULAR.S

Perfil formativo de los consejeros de las empresas del IBEX 35 en España

En este estudio de carácter teórico-empírico se ha relacionado la variable Perfil formativo de los Consejeros de las empresas que componen el IBEX 35 con su evolución financiera medida en base a las ventas netas. Verificadas las hipótesis, se puede decir que el perfil más adecuado para incrementar las ventas empresariales en las empresas del IBEX en 2013 lo conforma la figura de un Consejero, que presenta un nivel formativo de Doctorado, además de haber recibido una formación adecuada al cargo que desempeña.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Thermodynamic and Kinetic Study of Lignocellulosic Waste Gasification

In this chapter, the kinetic behavior during the steam gasification of sawdust, plum, and olive pits was investigated by thermogravimetric analysis where the weight loss is measured with the temperature variation at different heating rates (5, 10, and 15 K/min). The weight loss and their derivative curves show that the gasification takes place in three visible stages. The kinetic study was carried out using Coats-Redfern methods. The Ginstling-Brounstein model showed better fit. The obtained activation energy values vary between 70 and 100 kJ/mol for the pyrolysis stage for all studied agro-industrial wastes. On the other hand, a thermodynamic model was proposed to predict the five waste gasification processes, considering the char and tar production. The proposed model allows it to perform a parametric study, analyzing the process variables’ effect on the exergetic efficiency. The higher temperatures favor the endothermic reactions as the H2 and CO formation reactions. Therefore, in the product, moles of H2 and CO increase and consequently the exergy efficiency of the process. Increasing the equivalence ratio value, H2, CO, and CH4 contents decrease; thus the calorific value of the produced gas and the exergetic efficiency decrease. In addition, the CO2 and H2O presences in the syngas composition diminish its calorific value and the exergetic efficiency. Considering the influence of supply steam/biomass ratio, the exergetic efficiency decreases with the growth of this parameter

Kinetic analysis and thermodynamics properties of air/steam gasification of agricultural waste

The air/steam gasification of wood sawdust (SD), plum and olive pits (PP, OP) bio-wastes was studied using macro-thermogravimetric analysis at three heating rates (5, 10, 15K/min). Three stages were identified during gasification process: water vaporization; de-volatilization and char gasification. The experimental data were analysed by applying five model-free methods: Flynn-Wall-Ozawa (FWO), Distributed Activation Energy Model (DAEM), Friedman, Starink, and Kissinger-Akahira-Sunose (KAS), to evaluate the gasification kinetic parameters. The FWO method exhibited the best fit to the experimental results. The pre-exponential factor was estimated using the Kissinger's expression. The average apparent activation energy (E) for the char-gasification step was found to be 218.27 (SD), 143.70 (PP) and 87.89kJ mol-1 (OP). The pre-exponential factors were 6.93 1023 (SD), 5.10 1014 (PP), and 3.71 1009 s-1 (OP). A kinetic model to predict the CO release during the bio-waste decomposition was also proposed and validated. The E values for global release of CO were 87.34 (SD), 67.19 (PP), and 133.23kJ mol-1 (OP). In addition, the thermodynamic parameters ΔS, ΔH and ΔG were calculated from the FWO method. The positive values of ΔH evidenced the global endothermicity of the gasification process over the whole range of the conversion degree. The average ΔG values were 130.53 (SD), 148.17 (PP) and 132.91kJ mol-1 (OP). The average ΔS and ΔG values, together with the Arrhenius kinetic coefficient showed that the reactivity for gasification decreased in the following order: SD>OP>PP. The results are in good agreement with previously reported data.Fil: Fernandez Brizuela, Anabel Alejandra. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas. Grupo Vinculado Instituto de Ingeniería Química | Universidad Nacional del Comahue. Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas. Grupo Vinculado Instituto de Ingeniería Química; ArgentinaFil: Rodriguez Ortiz, Leandro Alexei. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; ArgentinaFil: Asensio, Daniela Anabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas. Grupo Vinculado Instituto de Ingeniería Química | Universidad Nacional del Comahue. Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas. Grupo Vinculado Instituto de Ingeniería Química; ArgentinaFil: Rodriguez, Rosa Ana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas. Grupo Vinculado Instituto de Ingeniería Química | Universidad Nacional del Comahue. Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas. Grupo Vinculado Instituto de Ingeniería Química; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; ArgentinaFil: Mazza, German Delfor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas. Grupo Vinculado Instituto de Ingeniería Química | Universidad Nacional del Comahue. Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas. Grupo Vinculado Instituto de Ingeniería Química; Argentin

Prediction of regional agro-industrial wastes characteristics by thermogravimetric analysis to obtain bioenergy using thermal process

The use of energy from biomass is becoming more common worldwide. This energy source has several benefits that promote its acceptance; it is bio-renewable, non-toxic and biodegradable. To predict its behavior as a fuel during thermal treatment, its characterization is necessary. The experimental determination of ultimate analysis data requires special instrumentation, while proximate analysis data can be obtained easily by using common equipment but, the required time is high. In this work, a methodology is applied based on thermogravimetric analysis, curves deconvolution and empirical correlations for characterizing different regional agro-industrial wastes to determine the high heating value, the contents of moisture, volatiles matter, fixed carbon, ash, carbon, hydrogen, oxygen, lignin, cellulose and hemicellulose. The obtained results are similar to those using standard techniques, showing the accuracy of proposed method and its wide application range. This methodology allows to determine the main parameters required for industrial operation in only in one step, saving time.Fil: Saffe Pinto, María Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas. Grupo Vinculado Instituto de Ingeniería Química | Universidad Nacional del Comahue. Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas. Grupo Vinculado Instituto de Ingeniería Química; ArgentinaFil: Fernandez Brizuela, Anabel Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas. Grupo Vinculado Instituto de Ingeniería Química | Universidad Nacional del Comahue. Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas. Grupo Vinculado Instituto de Ingeniería Química; ArgentinaFil: Mazza, German Delfor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas. Universidad Nacional del Comahue. Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas; ArgentinaFil: Rodriguez, Rosa Ana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas. Grupo Vinculado Instituto de Ingeniería Química | Universidad Nacional del Comahue. Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas. Grupo Vinculado Instituto de Ingeniería Química; Argentin

Determination of effective moisture diffusivity and thermodynamic properties variation of regional wastes under different atmospheres

During the thermal process to transform lignocellulosic wastes in energy, the drying process is an important stage because it requires energy and decreases overall process yield. Considering this process, moisture diffusivity is an important factor that is considered essential to understand for design, analysis, and its optimization. In this work, this parameter was analyzed at non-isothermal condition and considering the process under inert and oxidative atmospheres. Lower diffusivities were obtained under low heating rates, due to the disfavoring the moisture diffusion in the particles. Higher effective diffusivity (Deff) values were obtained when the drying is carried out under the atmosphere oxidative. Moreover, the thermodynamic parameters and DTA curves were determined. ΔH values are positive in all cases, showing that the drying process is endothermic. ΔG are positive and ΔS negative, indicating that the process is non-spontaneous. DTA curves show that the drying process is endothermic, according with the calculated ΔH.Fil: Fernandez Brizuela, Anabel Alejandra. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Román Barón, María Celia. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Mazza, German Delfor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas. Universidad Nacional del Comahue. Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas; ArgentinaFil: Rodriguez, Rosa Ana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentin