Characterisation of minimalist co-assembled fluorenylmethyloxycarbonyl self-assembling peptide systems for presentation of multiple bioactive peptides

The nanofibrillar structures that underpin self-assembling peptide (SAP) hydrogels offer great potential for the development of finely tuned cellular microenvironments suitable for tissue engineering. However, biofunctionalisation without disruption of the assembly remains a key issue. SAPS present the peptide sequence within their structure, and studies to date have typically focused on including a single biological motif, resulting in chemically and biologically homogenous scaffolds. This limits the utility of these systems, as they cannot effectively mimic the complexity of the multicomponent extracellular matrix (ECM). In this work, we demonstrate the first successful co-assembly of two biologically active SAPs to form a coassembled scaffold of distinct two-component nanofibrils, and demonstrate that this approach is more bioactive than either of the individual systems alone. Here, we use two bioinspired SAPs from two key ECM proteins: Fmoc-FRGDF containing the RGD sequence from fibronectin and Fmoc-DIKVAV containing the IKVAV sequence from laminin. Our results demonstrate that these SAPs are able to co-assemble to form stable hybrid nanofibres containing dual epitopes. Comparison of the co-assembled SAP system to the individual SAP hydrogels and to a mixed system (composed of the two hydrogels mixed together post-assembly) demonstrates its superior stable, transparent, shear-thinning hydrogels at biological pH, ideal characteristics for tissue engineering applications. Importantly, we show that only the coassembled hydrogel is able to induce in vitro multinucleate myotube formation with C2C12 cells. This work illustrates the importance of tissue engineering scaffold functionalisation and the need to develop increasingly advanced multicomponent systems for effective ECM mimicry.

STATEMENT OF SIGNIFICANCE: Successful control of stem cell fate in tissue engineering applications requires the use of sophisticated scaffolds that deliver biological signals to guide growth and differentiation. The complexity of such processes necessitates the presentation of multiple signals in order to effectively mimic the native extracellular matrix (ECM). Here, we establish the use of two biofunctional, minimalist self-assembling peptides (SAPs) to construct the first co-assembled SAP scaffold. Our work characterises this construct, demonstrating that the physical, chemical, and biological properties of the peptides are maintained during the co-assembly process. Importantly, the coassembled system demonstrates superior biological performance relative to the individual SAPs, highlighting the importance of complex ECM mimicry. This work has important implications for future tissue engineering studies.

Los inicios de la Experiencia Cooperativa Mondragón

Este artículo analiza los orígenes y la evolución inicial de la Experiencia Cooperativa Mondragón (ECM). A lo largo de estas tres décadas (1955-1985), se produce el surgimiento y la consolidación de la ECM. Esta Experiencia, radicalmente innovadora en su origen, llegó a tener 19.161 trabajadores en el año 1985; unas ventas por valor de 841,4 millones de euros y un total de 94 cooperativas asociadas a Caja Laboral, distribuidas por toda la geografía vasca. En estos treinta años, las cooperativas conocieron coyunturas económicas muy favorables que supieron aprovechar para crecer, junto con otras más desfavorables en las que desplegaron todo su potencial de intercooperación para resistir y fortalecerse mutuamente. En este periodo, se produjeron cambios significativos en las bases institucionales del Grupo. Los profundos cambios sociales, económicos y políticos acontecidos en la sociedad vasca, fueron acompañados por cambios de tipo cognitivo y normativo en el seno del cooperativismo, mientras que los aspectos reguladores se mantuvieron, siendo estos últimos, los elementos identitarios más vigorosos del cooperativismo.

Cobertura de carteras índice de renta variable con futuros sobre el IBEX 35

Las investigaciones relativas al ratio óptimo de cobertura con futuros de una cartera que replica un índice de renta variable se han llevado a cabo hasta la fecha mediante técnicas econométricas. Los modelos aplicados han ido perfeccionando sus especificaciones, pero todos ellos parten de unos supuestos que se alejan del mundo real, ya que no consideran el pago discreto de dividendos y se basan en una serie del futuro de próximo vencimiento que presenta saltos, al estar compuesta por mini-series encadenadas de futuros de distinto vencimiento. Como consecuencia de estas limitaciones, aunque la eficacia de la cobertura de los modelos econométricos puede considerarse satisfactoria en términos generales, se producen errores significativos en algunos puntos de la serie. La principal aportación de esta tesis a la investigación académica y a la práctica profesional de la gestión de carteras es la definición de un Modelo Algebraico de Cobertura (MAC) que no está basado en técnicas econométricas, es más sencillo de aplicar y superior en resultados104 a los modelos econométricos más utilizados hasta la fecha (MCO, ECM y GARCH) 105. El modelo MAC parte del supuesto de mercado eficiente y de la consideración de un horizonte temporal diario de la cobertura...

Rainfall-runoff modeling using dynamic evolving neural fuzzy inference system with online learning

This is an open access article under the CC BY-NC-ND license.Neuro-Fuzzy Systems (NFS) are computational intelligence tools that have recently been employed in hydrological modeling. In many of the common NFS the learning algorithms used are based on batch learning where all the parameters of the fuzzy system are optimized off-line. Although these models have frequently been used, there is a criticism on such learning process as the number of rules are needed to be predefined by the user. This will reduce the flexibility of the NFS architecture while dealing with different data with different level of complexity. On the other hand, online or local learning evolves through local adjustments in the model as new data is introduced in sequence. In this study, dynamic evolving neural fuzzy inference system (DENFIS) is used in which an evolving, online clustering algorithm called the Evolving Clustering Method (ECM) is implemented. ECM is an online, maximum distance-based clustering method which is able to estimate the number of clusters in a data set and find their current centers in the input space through its fast, one-pass algorithm. The 10-minutes rainfall-runoff time series from a small (23.22 km2) tropical catchment named Sungai Kayu Ara in Selangor, Malaysia, was used in this study. Out of the 40 major events, 12 were used for training and 28 for testing. Results obtained by DENFIS were then compared with the ones obtained by physically-based rainfall-runoff model HEC-HMS and a regression model ARX. It was concluded that DENFIS results were comparable to HEC-HMS and superior to ARX model. This indicates a strong potential for DENFIS to be used in rainfall-runoff modeling.

EVALUACIÓN DEL RIESGO ANTE INCENDIOS FORESTALES EN LA CUENCA DEL RÍO TEMPISQUE, COSTA RICA

Los incendios forestales constituyen problemas que ocasionan grandes daños ambientales sobre los ecosistemas, uno de los mayores impactos en el ambiente son los efectos sobre el cambio climático, situación que acentúa los problemas globales que atentan la vida sobre el planeta. Notoriamente, se reconoce que los incendios son un agente constante de cambios sobre los paisajes naturales y por tanto su estudio reviste importancia, ya que afectan de una manera notable la vegetación, la fauna, el suelo y aumentan el peligro de desertificación, lo que conlleva a los problemas socioeconómicos. Este artículo tiene por objetivo determinar el riesgo ante incendios forestales en la cuenca del Río Tempisque en Costa Rica, a partir de variables explicativas como la proximidad a carreteras, tipos de usos de la tierra, focos de incendios, insolación y altitud sobre el nivel de mar, modeladas con técnicas de Evaluación Multicriterio (ECM) en un Sistema de Información Geográfica (SIG).Dado que el concepto riesgo se refiere a una condición de probabilidad, en este artículo se recrea escenarios en donde podría tener lugar el fuego, los cuales se correlacionan con eventos que se han presentando en años anteriores. Se debe advertir que no se considera la variable viento como factor dispersor del fuego, ya que el objetivo es determinar lugares con condición favorable a incendio sin mediar los factores que contribuyen en su distribución.Palabras claves: incendio forestal, problema ambiental, riesgo, modelaje, sistemas de información geográfica y evaluación multicriterio.AbstractForest fires are problems that cause environmental damage to ecosystems. One of the biggest impacts is on the atmosphere and their effects on climatic change, a situation that exacerbates globalproblems perpetrated on planet life. Historically, fires are recognized as a constant agent of change Julio César Moraga Peralta Evaluación del riesgo ante incendios forestalesen la cuenca del río Tempisque, Costa Rica on the natural landscape. Therefore, fire studies are important because of the significant effect of fire on vegetation, fauna and soils and the increased danger of desertification, leading to socioeconomicproblems.This article has as its objective to determine the risk before forest fires on the Tempisque RiverBasin in Costa Rica from explanatory variables such as proximity to roads, types of land uses, fireoutbreaks, isolation and altitude above sea level, using Multicriteria Evaluation (NDE) modeling techniques in a Geographic Information System.As the term risk refers to a condition of probability, this article recreates scenarios where a fire could occur, which correlate with events that have occurred in previous years. It should be noted that the variable of wind is not considered as a fire-scattering factor since the objective of this study is to identify places with conditions already favorable to fires without a contributing factor in their distribution.Key words: forest fire, environmental problems, risk, geographical information system, multicriteria evaluation modeling, Tempisque River Basin, Costa Rica