A novel network-based analysis to measure efficiency in science and technology parks: the ISA framework approach

In the last years, Science and Technology Parks (STPs) have been considered facilitators of inter-organizational relationships, as well as instruments of public policy, by creating networks and allowing access for the learning of local innovation.In this study, we propose a quantitative tool as support for measuring the efficiency of STPs through the analysis of the complex networks they form. We present a generic framework called the Inter-Relationship Science-Park Analysis (ISA) framework to study STPs at three different levels of management: (1) individual entities (research centres, universities, innovation companies, etc.); (2) STP global management; and (3) productive sector development. Moreover, we have applied the ISA framework to a real-world case study: the Walqa Science and Technology Park. Through it we have been able to know what relationships are established within this Science and Technology Park and which are the most important nodes in this network of interactions

Impact of Bacterial Metabolites on Gut Barrier Function and Host Immunity:A Focus on Bacterial Metabolism and Its Relevance for Intestinal Inflammation

The diverse and dynamic microbial community of the human gastrointestinal tract plays a vital role in health, with gut microbiota supporting the development and function of the gut immune barrier. Crosstalk between microbiota-gut epithelium and the gut immune system determine the individual health status, and any crosstalk disturbance may lead to chronic intestinal conditions, such as inflammatory bowel diseases (IBD) and celiac disease. Microbiota-derived metabolites are crucial mediators of host-microbial interactions. Some beneficially affect host physiology such as short-chain fatty acids (SCFAs) and secondary bile acids. Also, tryptophan catabolites determine immune responses, such as through binding to the aryl hydrocarbon receptor (AhR). AhR is abundantly present at mucosal surfaces and when activated enhances intestinal epithelial barrier function as well as regulatory immune responses. Exogenous diet-derived indoles (tryptophan) are a major source of endogenous AhR ligand precursors and together with SCFAs and secondary bile acids regulate inflammation by lowering stress in epithelium and gut immunity, and in IBD, AhR expression is downregulated together with tryptophan metabolites. Here, we present an overview of host microbiota-epithelium- gut immunity crosstalk and review how microbial-derived metabolites contribute to host immune homeostasis. Also, we discuss the therapeutic potential of bacterial catabolites for IBD and celiac disease and how essential dietary components such as dietary fibers and bacterial tryptophan catabolites may contribute to intestinal and systemic homeostasis

Post-pH effect in oral streptococci

Objectives: To study the post-pH effect (PpHE) in 11 strains of oral streptococci belonging to Streptococcus sanguis, S. mitis, S. gordonii, S. mutans and S. sobrinus by using the BacT/Alert microbial detection system. Methods: The bacterial cultures were exposed to a different pH (3.6, 4.0, 4.6, 5.0, 5.6, 7.0, 7.5, 8.0 and 8.6) for 1 h, and then returned to a neutral medium. The automated BacT/Alert system determined resumed microbial growth by measuring CO2 generation. The PpHE expresses the time difference between resumed growth (after pH shock) and optimal growth (pH 7.0 used as the control). Results: PpHE was found to be minimal for alkaline pH values, and to be strain and species dependent. Conclusions: The PpHE may be useful as an ecological determinant or as an indicator of the cariogenicity of oral streptococci

Least-Squares Filtering Algorithm in Sensor Networks with Noise Correlation and Multiple Random Failures in Transmission

This paper addresses the least-squares centralized fusion estimation problem of discrete-time random signals from measured outputs, which are perturbed by correlated noises. These measurements are obtained by different sensors, which send their information to a processing center, where the complete set of data is combined to obtain the estimators. Due to random transmission failures, some of the data packets processed for the estimation may either contain only noise (uncertain observations), be delayed (randomly delayed observations), or even be definitely lost (random packet dropouts). These multiple random transmission uncertainties are modelled by sequences of independent Bernoulli random variables with different probabilities for the different sensors. By an innovation approach and using the last observation that successfully arrived when a packet is lost, a recursive algorithm is designed for the filtering estimation problem. The proposed algorithm is easily implemented and does not require knowledge of the signal evolution model, as only the first- and second-order moments of the processes involved are used. A numerical simulation example illustrates the feasibility of the proposed estimators and shows how the probabilities of the multiple random failures influence their performance

Luxación traumática anterior de prótesis total de rodilla

Se presenta un caso de luxación anterior de una prótesis total de rodilla no constreñida que conserva el ligamento cruzado posterior. Su etiopatogenia es diferente a la de las subluxaciones o luxaciones posteriores de prótesis totales de rodilla semiconstreñidas que no conservan el ligamento cruzado posterior. La reducción de la misma se consiguió sin dificultad bajo anestesia general. A pesar de la laxitud residual existente tras el tratamiento conservador, el resultado funcional después de 4 años fue satisfactorio y sin evidenciar nuevos episodios de subluxación o reluxación de la prótesis

Impressions de Toreros : suite de récits

Copia digital. Valladolid : Junta de Castilla y León. Consejería de Cultura y Turismo, 201

Activation in the family of Candida rugosa isolipases by polyethylene glycol

Disponible en: http://www.xtal.iqfr.csic.es/publications/jmolcat2005.pdfWe have investigated activation of two isoenzymes (lip1 and lip3) from Candida rugosa in polyethylene glycol (PEG) media. Aqueous solutions of PEG 8000 and 20,000 activate lip3 but not lip1 from C. rugosa. Maximum activation (260%) of lip3 requires 6 h of pre-incubation with PEG 8000 (4%, w/v). PEG seems to shift the equilibrium between the open and the closed forms of lip3 towards the active conformation. Inhibition experiments demonstrate that ligands have easier access to the lip3 active site than to the lip1 active site, both in the presence and the absence of PEG. The presence of PEG in the crystallization medium is responsible for reported differences in the crystal structures of lip1 and lip3. A comparative analysis of crystallographic models of lip1 and lip3 suggests a role for PEG in activation of lip3 and further stabilization of the activated/open form via dimerization in aqueous media.This work has been financed by the Spanish CICYT (PB92/0495 and BIO 96/0837). A predoctoral fellowship for M.F.P. was provided by the Autonomous Community of Madrid (Spain).Peer reviewe