Antibacterial Activity of Polymer Nanocomposites Incorporating Graphene and Its Derivatives: A State of Art

Comunidad de Madri

Diseño Automatizado de Horno en el Proceso de Secado de Madera en la Empresa Inversiones Valle Sur SRL

Este trabajo de investigación responde a la problemática; ¿De qué manera el diseño automatizado del horno influye en el proceso de secado de madera en la Empresa Inversiones Valle Sur SRL?, el objetivo general debe determinar la influencia del Diseño Automatizado del horno en el proceso de secado de madera en la Empresa Inversiones Valle Sur SRL, y la hipótesis a contrastarse es el diseño automatizado influye de manera significativa en el proceso de secado de la madera en la empresa Inversiones Valle Sur SRL. La metodología de investigación es científica, el tipo de investigación es aplicada, con un nivel explicativo y el diseño experimental. Así mismo, la población de muestra está conformada por 5,300.00 p2 de madera tornillo registrados, bajo una muestra dirigida de 30 registros. En conclusión, al diseñar el horno se logró mejorar el control de la temperatura y humedad relativa en la empresa Inversiones Valle Sur SRL, por lo que el diseño cumplirá con satisfacer las necesidades determinadas

Diseño Automatizado de Horno en el Proceso de Secado de Madera en la Empresa Inversiones Valle Sur SRL

Este trabajo de investigación responde a la problemática; ¿De qué manera el diseño automatizado del horno influye en el proceso de secado de madera en la Empresa Inversiones Valle Sur SRL?, el objetivo general debe determinar la influencia del Diseño Automatizado del horno en el proceso de secado de madera en la Empresa Inversiones Valle Sur SRL, y la hipótesis a contrastarse es el diseño automatizado influye de manera significativa en el proceso de secado de la madera en la empresa Inversiones Valle Sur SRL. La metodología de investigación es científica, el tipo de investigación es aplicada, con un nivel explicativo y el diseño experimental. Así mismo, la población de muestra está conformada por 5,300.00 p2 de madera tornillo registrados, bajo una muestra dirigida de 30 registros. En conclusión, al diseñar el horno se logró mejorar el control de la temperatura y humedad relativa en la empresa Inversiones Valle Sur SRL, por lo que el diseño cumplirá con satisfacer las necesidades determinadas

Effect of HDI-Modified GO on the Thermoelectric Performance of Poly(3,4-ethylenedioxythiophene):Poly(Styrenesulfonate) Nanocomposite Films

Composite films based on conducting polymers and carbon nanomaterials have attracted much attention for applications in various devices, such as chemical sensors, light-emitting diodes (LEDs), organic solar cells (OSCs), among others. Graphene oxide (GO) is an ideal filler for polymeric matrices due to its unique properties. However, GO needs to be functionalized to improve its solubility in common solvents and enable the processing by low-cost solution deposition methods. In this work, hexamethylene diisocyanate (HDI)-modified GO and its nanocomposites with poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) were developed, and their morphology, thermal, electrical, thermoelectrical and mechanical performance were characterized. The influence of the HDI functionalization degree and concentration on the nanocomposite properties were assessed. The HDI-GO increased the crystallinity, lamella stacking and interchain coupling of PEDOT:PSS chains. A strong improvement in electrical conductivity, thermal stability, Young's modulus and tensile strength was found, showing an optimum combination at 2 wt% loading. Drop and spin casting techniques were applied onto different substrates, and the results from deposition tests were analyzed by atomic force microscopy (AFM) and UV-vis spectroscopy. A number of parameters influencing the depositions process, namely solvent nature, sonication conditions and ozone plasma treatment, have been explored. This study paves the way for further research on conducting polymer/modified GO nanocomposites to optimize their composition and properties (i.e., transparency) for use in devices such as OSCs

Inter-organizational information systems adoption for service innovation in building sector

The building sector has experienced a significant decline in recent years in Spain and Europe as a result of the financial crisis that began in 2007. This drop accompanies a low penetration of information and communication technologies in inter-organizational oriented business processes. The market decrease is causing a slowdown in the building sector, where only flexible small and medium enterprises (SMEs) survive thanks to specialization and innovation in services, which allow them to face new market demands. Inter-organizational information systems (IOISs) support innovation in services, and are thus a strategic tool for SMEs to obtain competitive advantage. Because of the inherent complexity of IOIS adoption, this research extends Kurnia and Johnston's (2000) theoretical model of IOIS adoption with an empirical model of IOIS characterization. The resultant model identifies the factors influencing IOIS adoption in SMEs in the building sector, to promote further service innovation for competitive and collaborative advantages. An empirical longitudinal study over six consecutive years using data from Spanish SMEs in the building sector validates the model, using the partial least squares technique and analyzing temporal stability. The main findings of this research are the four ways an IOIS might contribute to service innovation in the building sector. Namely: a) improving client interfaces and the link between service providers and end users; b) defining a specific market where SMEs can develop new service concepts; c) enhancing the service delivery system in traditional customer?supplier relationships; and d) introducing information and communication technologies and tools to improve information management

Presente y futuro de los sistemas recomendadores en la web 2.0

En una Web dominada por los medios sociales para la información, la relación y la comunicación, la dinámica que se establece entre contenidos, personas y tecnología cambia radicalmente. Ante la relevancia que cobra el contenido generado por usuarios en este escenario –esencialmente relacional-, la localización de las mejores fuentes de información requiere sistemas recomendadores que incorporen la naturaleza social de una Web que va más allá de la primigenia internet. Se revisan las aproximaciones actuales a los procesos de recomendación, poniéndolas en el contexto de las tendencias asociadas al fenómeno del social computing. Asimismo, se destacan algunas líneas de actuación en la redefinición del problema de la recomendación en un panorama dominado por las redes sociales y la generación de contenidos por los usuario

Automatically Modeling Hybrid Evolutionary Algorithms from Past Executions

ection of the most appropriate Evolutionary Algorithm for a given optimization problem is a difficult task. Hybrid Evolutionary Algorithms are a promising alternative to deal with this problem. By means of the combination of different heuristic optimization approaches, it is possible to profit from the benefits of the best approach, avoiding the limitations of the others. Nowadays, there is an active research in the design of dynamic or adaptive hybrid algorithms. However, little research has been done in the automatic learning of the best hybridization strategy. This paper proposes a mechanism to learn a strategy based on the analysis of the results from past executions. The proposed algorithm has been evaluated on a well-known benchmark on continuous optimization. The obtained results suggest that the proposed approach is able to learn very promising hybridization strategies

Benchmarking a MOS-based algorithm on the BBOB-2010 noiseless function testbed

In this contribution, a hybrid algorithm combining Differential Evolution and IPOP-CMA-ES is presented and benchmarked on the BBOB 2010 noiseless testbed. The hybrid algorithm has been constructed within the Multiple Offspring Sampling framework, which allows the seamless combination of multiple metaheuristics in a dynamic algorithm capable of adjusting the participation of each of the composing algorithms according to their current performance. The experimental results show a robust behavior of the algorithm and a good scalability as the dimensionality increases