Socio-Cultures Perspectives in the Influence of Entertainment to the Fashion Industry

This research article presents the various sociocultural perspectives generated as a result of the influence of major entertainment figures such as J Balvin Rihanna Beyonce and the kpop group of the moment BTS through case studies on the aforementioned characters it is possible to conclude the various sociocultural scenarios It also presents the massive diffusion of fashion trends through the digital world and how the use of different web platforms to acquire the various products has grown due to the current health situation of the Covid-19 pandemic impacting the fashion industries and their economic growt

Lagrangian Model‐Based Fault Diagnosis in a PVTOL

A Lagrangian formalism is used to model a PVTOL in order to obtain an aircraft model. The Euler‐Lagrange model of the PVTOL is used to develop an algorithm for fault diagnosis. Diagnosis implies the detection, isolation and identification of a fault. The considered approach is based on the knowledge of a system model as well as the model of the possible faults. The idea is to use non‐linear decoupling approach to derivate a set of subsystems, each related to a specific fault or a set of faults. An observer‐based residual generation is designed for each subsystem, this structure allows the fault detection and isolation stage, for fault identification a kind of approximated inversion algorithm to meet the different diagnostic levels. The results are obtained taking advantage of the structure given by the Euler‐Lagrange modelling of the PVTOL as well as from recent results related to observer design and fault identification

Locally optimal invariant detector for testing equality of two power spectral densities

This work addresses the problem of determining whether two multivariate random time series have the same power spectral density (PSD), which has applications, for instance, in physical-layer security and cognitive radio. Remarkably, existing detectors for this problem do not usually provide any kind of optimality. Thus, we study here the existence under the Gaussian assumption of optimal invariant detectors for this problem, proving that the uniformly most powerful invariant test (UMPIT) does not exist. Thus, focusing on close hypotheses, we show that the locally most powerful invariant test (LMPIT) only exists for univariate time series. In the multivariate case, we prove that the LMPIT does not exist. However, this proof suggests two LMPIT-inspired detectors, one of which outperforms previously proposed approaches, as computer simulations show.This work was partly supported by the Spanish MINECO grants OTOSIS (TEC2013-41718-R), COMONSENS Network (TEC2015-69648-REDC) and KERMES Network (TEC2016-81900-REDT/AEI); by the Spanish MINECO and the European Commission (ERDF) grants ADVENTURE (TEC2015-69868-C2-1-R), WINTER (TEC2016-76409-C2-2-R), CARMEN (TEC2016-75067-C4-4-R) and CAIMAN (TEC2017-86921-C2-1-R and TEC2017-86921-C2-2-R); by the Comunidad de Madrid grant CASI-CAM-CM (S2013/ICE-2845); by the Xunta de Galicia and ERDF grants GRC2013/009, R2014/037 and ED431G/04 (Agrupación Estratéxica Consolidada de Galicia accreditation 2016-2019); by the SODERCAN and ERDF grant CAIMAN (12.JU01.64661); and by the Research Council of Norway grant FRIPRO TOPPFORSK (250910/F20)

Testing equality of multiple power spectral density matrices

This paper studies the existence of optimal invariant detectors for determining whether P multivariate processes have the same power spectral density. This problem finds application in multiple fields, including physical layer security and cognitive radio. For Gaussian observations, we prove that the optimal invariant detector, i.e., the uniformly most powerful invariant test, does not exist. Additionally, we consider the challenging case of close hypotheses, where we study the existence of the locally most powerful invariant test (LMPIT). The LMPIT is obtained in the closed form only for univariate signals. In the multivariate case, it is shown that the LMPIT does not exist. However, the corresponding proof naturally suggests an LMPIT-inspired detector that outperforms previously proposed detectors.This work was partly supported by the Spanish MINECO grants COMONSENS Network (TEC2015-69648-REDC) and KERMES Network (TEC2016-81900-REDT/AEI); by the Spanish MINECO and the European Commission (ERDF) grants ADVENTURE (TEC2015-69868-C2-1- R), WINTER (TEC2016-76409-C2-2-R), CARMEN (TEC2016-75067-C4-4- R) and CAIMAN (TEC2017-86921-C2-1-R and TEC2017-86921-C2-2-R); by the Comunidad de Madrid grant CASI-CAM-CM (S2013/ICE-2845); by the Xunta de Galicia and ERDF grants GRC2013/009, R2014/037 and ED431G/04 (Agrupacion Estratexica Consolidada de Galicia accred- ´ itation 2016-2019); by the SODERCAN and ERDF grant CAIMAN (12.JU01.64661); and by the Research Council of Norway grant FRIPRO TOPPFORSK (250910/F20). This paper was presented in part at the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing

Producción de H₂ mediante reformado de etanol en fase vapor empleando catalizadores Ni/γ-AL₂O₃ modificados con La₂O₃-CeO₂

El objetivo de este trabajo fue estudiar el efecto sinérgico entre La₂O₃ y CeO₂ en las propiedades fisicoquímicas del catalizador Ni/γ-AL₂O₃ para la producción de hidrógeno en el reformado de etanol en fase vapor. Se sintetizó alúmina mesoporosa por el método sol-gel acoplado al autoensamblaje inducido por la evaporación controlada del solvente para utilizarla como soporte. En seguida, se realizó la impregnación de los soportes, mesoporoso y comercial, al 10 % en peso de La₂O₃’ CeO₂ y Ni. Los materiales preparados se caracterizaron por DRX, Fisisorción de N₂, MEB, Análisis elemental y NH₃-TPD; encontrándose que se obtuvo un catalizador nanoestructurado con baja concentración de sitios ácidos activos en relación al material no modificado con La₂O₃-CeO₂. En la evaluación catalítica el catalizador de níquel soportado en alúmina mesoporosa Ni/La-Ce-AM mostró hasta tres veces más producción de hidrógeno que el catalizador Ni/γ-AL₂O₃; notable estabilidad hidrotérmica a una temperatura de reacción de 500ºC y lenta desactivación.The aim of this work was to study the synergic effect between La₂O₃ and CeO₂ in the Ni/γ-AL₂O₃ physicochemical properties for hydrogen production via ethanol steam reforming. Mesoporous alumina was synthesized by sol-gel method coupled to evaporation induced self¬assembled in arder to use as support. Afterwards, mesoporous alumina and commercial alumina were impregnated at 10% wt. La₂O₃’CeO₂, and Ni. The prepared materials were characterized by XRD, Nitrogen Physisorption, SEM, Elemental Analysis and NH3-TPD. lt was found out a nanostructured catalyst with a low concentration of active acid sites in relation to the material not modified with La₂O₃-CeO₂. Catalytic performance of Ni/La-Ce-AM, catalyst supported in mesoporous alumina promoted with La₂O₃-CeO₂’ showed up three times more hydrogen production than Ni/γ-AL₂O₃ catalyst; remarkable hydrothermal stability at reaction temperature of 500ºC and slow deactivation

Respuesta en frecuencia para sistemas en espacio de estados

The frequency response of linear systems is a popular tool used in the analysis and design of automatic control systems. The common way to obtain the frequency response is from the input-output representation (transfer function) of a system. In this paper we present a novel way to obtain the frequency response from the state space representation. The result is obtained by characterizing the input signal (sine function) by means of an additional external system, as well as the evaluation of the steady state. The determination of phase and magnitude is obtained from the solution to a Sylvester equation repeatedly for different values of the frequency in a specific interval together with some algebraic manipulations and use of trigonometric identities. The procedure is shown by examples and compared with classical ways of obtaining the frequency response.La respuesta en frecuencia de sistemas lineales es una popular herramienta utilizada en el análisis y diseño de sistemas de control automático. La forma común de obtener la respuesta en frecuencia es a partir de la representación entrada-salida (función de transferencia) de un sistema. En este trabajo se presenta una manera novedosa para obtener la respuesta en frecuencia partiendo de la representación en el espacio de estados. El resultado es obtenido mediante la caracterización de la señal de entrada (función senoidal) mediante un sistema externo adicional, así como la evaluación del estado estacionario. La determinación de la fase y magnitud se obtiene de la solución a una ecuación de Sylvester reiteradamente para diferentes valores de la frecuencia en un intervalo específico junto con algunas manipulaciones algebraicas y uso de identidades trigonométricas. El procedimiento es mostrado mediante ejemplos y comparado con las maneras clásicas de obtener la respuesta en frecuencia

Tailoring the ORR and HER electrocatalytic performances of gold nanoparticles through metal–ligand interfaces

The oxygen reduction (ORR) and hydrogen evolution (HER) reactions are the most important cathodic processes involved in fuel cell and water splitting technologies, respectively. The development of bifunctional electrocatalyst materials plays a key role in the rapid advancement of these hydrogen-based renewable energy strategies. This work proposes citrate-stabilized gold nanoparticles (AuNPs) as a bifunctional electrocatalyst for ORR and HER. The capping ligand has a great influence on their resulting electrocatalytic performance. A simple ligand exchange method based on concentration gradients has been optimized. The surface structure of the different ligand-stabilized AuNPs was inferred by lead underpotential deposition (Pb-UPD). Static and dynamic electrochemical studies for both ORR and HER have been performed using different ligand-stabilized AuNPs as electrocatalysts, demonstrating that the citrate ligand confers the best performance. This work suggests that non-doped chemically synthesized AuNPs may be suitable as a bifunctional electrocatalyst in fuel cells and hydrogen production

Mimicking the bioelectrocatalytic function of recombinant CotA laccase through electrostatically self-assembled bioconjugates

Unprecedented 3D nanobiosystems composed of recombinant CotA laccases and citrate-stabilised gold nanoparticles have been successfully achieved by an electrostatic self-assembly strategy. The bioelectrochemical reduction of O2 driven by CotA laccase at the spore coat was mimicked. Consequently key insights into its bioelectrocatalytic function were unravelled

Dynamic circulating tumor DNA quantificaton for the individualization of non-small-cell lung cancer patients treatment

Background: Liquid biopsy has evolved from being a promising line to becoming a validated approach for biomarker testing. However, its utility for individualization of therapy has been scarcely reported. In this study, we show how monitoring levels of EGFR mutation in plasma can be useful for the individualization of treatment. Results: Longitudinal EGFR mutation levels in plasma always correlated with tumor response ascertained by RECIST criteria. Moreover, decreasing EGFR mutation levels were detected in all patients benefiting from locoregional radiotherapy, whereas the opposite occurred when a patient progressed soon after radiotherapy treatment. Similarly, increasing EGFR mutation levels anticipated disease progression after TKI dose reduction, discontinuation of treatment, or reduced bioavailability due to drug interactions. In addition, EGFR mutation levels were useful to monitor treatment outcome of new therapies and constituted a decisive factor when the clinical situation of the patient did not correlate with responses ascertained by radiologist. Finally, our results indicate that cancer associated body fluids (pleural, pericardial or cerebrospinal fluid) are certainly a suitable source for biomarker testing that can extend EGFR mutation detection to biofluids other than blood. Materials and Methods: A total of 180 serial plasma samples from 18 non-smallcell lung cancer patients who carried an activating EGFR mutation were investigated by digital PCR. Conclusions: Monitoring levels of EGFR mutation in plasma allows resolving doubts that frequently arise in daily clinical practice and constitutes a major step towards achieving personalized medicineThis study was supported by Carlos III Institute of Health, Spanish Ministry of Science and Innovation, and European Regional Development Fund (grant number: PI16/01818 and PIE14/00064), A Romero is supported by Joan Rodés fellowship (grant number: JR14/00017) and CP pre-doctoral studies are supported by Jose Luís Castaño Foundatio

La ciencia de datos como insumo en la toma de decisiones de la política pública costarricense en el marco de la pandemia por Covid 19

El uso de la ciencia de datos para enfrentar la pandemia por Covid 19 en Costa Rica ha generado la posibilidad de fortalecer y ampliar el uso de tecnologías emergentes en los procesos de toma de decisiones que dependen de datos confiables y oportunos. En Costa Rica a lo largo de la pandemia se han generado insumos relevantes en la formulación de políticas en salud pública con la perspectiva de que sean más efectivas en evitar la exposición para prevenir la enfermedad, atender las poblaciones más vulnerables y generar el mayor bienestar y calidad de vida para la población en un contexto complejo desde la perspectiva social, económico y sanitario. La pandemia por Covid 19 y el proyecto de investigación desarrollado en la Universidad de Costa Rica, ha permitido reflejar el fortalecimiento del uso y conocimiento de la ciencia de datos para la toma de decisiones de política pública en el sector salud mediante la aplicación y conformación de redes de colaboración en diferentes ámbitos. También, ha potenciado el uso de la ciencia de datos para el enriquecimiento de la toma de decisiones y las políticas basadas en evidencias y datos. El uso de la tecnología de una manera más adaptada a las problemáticas en un contexto multi amenaza, obliga a poner la tecnología en la solución de emergencias sanitarias y desastres en salud, con el fin de agilizar el manejo de la información y, actuar de manera más pronta y oportuna.UCR::Vicerrectoría de Docencia::Ciencias Sociales::Facultad de Ciencias Económicas::Escuela de Administración Públic