Comparison of a deterministic and a data driven model to describe MBR fouling

Membrane bioreactors (MBRs) are a combination of activated sludge bioreactors and membrane filtration, enabling high quality effluent with a small footprint. However, they can be beset by fouling, which causes an increase in transmembrane pressure (TMP). Modelling and simulation of changes in TMP could be useful to describe fouling through the identification of the most relevant operating conditions. Using experimental data from a MBR pilot plant operated for 462days, two different models were developed: a deterministic model using activated sludge model n°2d (ASM2d) for the biological component and a resistance in-series model for the filtration component as well as a data-driven model based on multivariable regressions. Once validated, these models were used to describe membrane fouling (as changes in TMP over time) under different operating conditions. The deterministic model performed better at higher temperatures (>20°C), constant operating conditions (DO set-point, membrane air-flow, pH and ORP), and high mixed liquor suspended solids (>6.9gL-1) and flux changes. At low pH (<7) or periods with higher pH changes, the data-driven model was more accurate. Changes in the DO set-point of the aerobic reactor that affected the TMP were also better described by the data-driven model. By combining the use of both models, a better description of fouling can be achieved under different operating conditions

Implantación de un proyecto de Knowledge Center con una herramienta comercial (Synera)

En una empresa les dades es poden transformar en coneixement; aquest projecte explica com es poden convertir les dades, mitjançant una eina comercial, en coneixement que els serveixi per a prendre decisions respecte de la seva política comercial, de màrqueting i de distribució del producte. A més, també demostra que la implementació d'aquest projecte en l'empresa repercutirà positivament en el seu futur.

Expert supervision based on cases

The paper focuses on taking advantage of large amounts of data that are systematically stored in plants (by means of SCADA systems), but not exploited enough in order to achieve supervisory goals (fault detection, diagnosis and reconfiguration). The methodology of case base reasoning (CBR) is proposed to perform supervisory tasks in industrial processes by re-using the stored data. The goal is to take advantage of experiences, registered in a suitable structure as cam, avoiding the tedious task of knowledge acquisition and representation needed by other reasoning techniques as expert systems. An outlook of CBR terminology and basic concepts are presented. The adaptation of CBR in performing expert supervisory tasks, taking into account the particularities and difficulties derived from dynamic systems, is discussed. A special interest is focused in proposing a general case definition suitable for supervisory tasks. Finally, this structure and the whole methodology is tested in a application example for monitoring a real drier chamber

Using free data mining software and clustering algorithms to find predictors from student qualifications

In this project a research both in finding predictors via clustering techniques and in reviewing the Data Mining free software is achieved. The research is based in a case of study, from where additionally to the KDD free software used by the scientific community; a new free tool for pre-processing the data is presented. The predictors are intended for the e-learning domain as the data from where these predictors have to be inferred are student qualifications from different e-learning environments. Through our case of study not only clustering algorithms are tested but also additional goals are proposed.

What are the success factors for Spanish textile firms? An exploratory multiple-case study

The objective of this article is to identify differential traits of successful SMEs in comparison to average SME firms in the textile and clothing sector. The method used is the multiple case-study of 12 firms based on qualitative and quantitative data obtained by means of in-depth interviews. Building on recent academic literature, we use four main dimensions that may explain success: i) knowledge generation (R&D) and acquisition; ii) innovation activity; iii) product and market characteristics and iv) strategic characteristics. Our results indicate that a higher R&D intensity and knowledge acquisition do not explain success. The main differential characteristic is that successful firms have a higher level of innovation activity, since innovation is their strategic priority, being a result of perceiving the key success factors of their markets differently. From the analysis it also follows that the prevalent strategy of successful firms is the niche strategy, with a demand pull focus, and a high proximity to the customer

Disseny de la intranet corporativa de FDC

L'objectiu d'aquest treball és realitzar el disseny de la Intranet a implantar a FdC. La finalitat del projecte és generar tota la informació requerida per garantir una futura implantació de la Intranet amb total garanties.

Aplicació per a la sol·licitud de recursos informàtics

L'objectiu d'aquest treball és l'exposició detallada de les etapes d'anàlisi, disseny i prototip del projecte de Sol·licituds de Recursos Informàtics. La finalitat d'aquest projecte és la creació d'una eina colaborativa de workflow (circuit de treball) que permeti gestionar de manera eficaç les peticions de serveis o productes rebudes pel departament de tecnologies d'una empresa mitjana/gran, informant en cada moment del seu cicle de vida les persones involucrades en la mateixa.

ARB v.1.0 Gestió del Coneixement amb J2EE

Amb aquest projecte s'ha portat a terme la planificació i el desenvolupament d'una aplicació web amb tecnologia J2EE. Es tracta d'un sistema que s'assimila a una eina de gestió de coneixement, ja que permet l'emmagatzematge de dades i coneixement en estructures arborescents. Posteriorment es pot accedir a aquest coneixement molt fàcilment, de manera que persones amb poca o nul·la formació en la matèria poden diagnosticar i, fins i tot, resoldre problemes relacionats amb la temàtica de la informació emmagatzemada.

Immigració i desafecció política a l'espai local: la instrumentalització política de la immigració a Catalunya i Gran Bretanya

El projecte ha tingut com a objectiu principal abordar la instrumentalització política de la immigració per part de partits polítics de nova extrema dreta. Aquest fenomen, que ha adquirit una gran rellevància a gran part dels països europeus, està adquirint una creixent rellevància en els casos britànic i català a partir de, entre altres coses, l'emergència electoral dels partits Plataforma per Catalunya i British National Party. En aquest sentit, el projecte ha tractat de desenvolupar una recerca que produís un conjunt de dades i coneixements que permetessin abordar de forma fonamentada un fenomen “nou” en el context català i que, fins al moment, ha rebut escassa atenció per part del món acadèmic. Dins d’aquest objectiu cal destacar el fet que la àmplia experiència de l’equip investigador britànic en l’anàlisi de la nova extrema dreta ha permès que els investigadors catalans poguessin desenvolupar la seva recerca recolzant-se i dialogant en la seva contrapart britànica. Els resultats de la recerca són certament novedosos i representaran una important contribució al coneixement d’aquest fenomen. Així, en el marc de la recerca s’han desenvolupat una sèrie d’entrevistes a membres i a votants de PxC, així com una enquesta a votants i una anàlisi agregada sobre el vot al partit. En aquest sentit, cal destacar que és la primera vegada que s’aconsegueixen aquest tipus de dades. Un fet que està fent, i farà, que la seva explotació i divulgació adquireixi una gran rellevància tant en el món acadèmic com en el de les administracions públiques. Finalment, convé ressaltar que el projecte també ha servit per consolidar la relació entre els equips d’investigació britànic i català i per impulsar la inserció de l’equip català en les xarxes europees d’investigació sobre aquesta matèria.

Complementarity between technology make and buy in innovation strategies: Evidence from Belgiam manufacturing firms

This paper characterizes the innovation strategy of manufacturing firms andexamines the relation between the innovation strategy and importantindustry-, firm- and innovation-specific characteristics using Belgiandata from the Eurostat Community Innovation Survey. In addition to importantsize effects explaining innovation, we find that high perceived risks andcosts and low appropriability of innovations do not discourage innovation,but rather determine how the innovation sourcing strategy is chosen. Withrespect to the determinants of the decision of the innovative firm toproduce technology itself (Make) or to source technology externally (Buy),we find that small firms are more likely restrict their innovation strategyto an exclusive make or buy strategy, while large firms are more likely tocombine both internal and external knowledge acquisition in their innovationstrategy. An interesting result that highlights the complementary nature ofthe Make and Buy decisions, is that, controlled for firm size, companies forwhich internal information is an important source for innovation are morelikely to combine internal and external sources of technology. We find thisto be evidence of the fact that in-house R&D generates the necessaryabsorptive capacity to profit from external knowledge acquisition. Also theeffectiveness of different mechanisms to appropriate the benefits ofinnovations and the internal organizational resistance against change areimportant determinants of the firm's technology sourcing strategy.

Time patterns and perceptions of online learning success factors

Online learning provides the opportunity to work on academic tasks at any time at the same time as doing other activities, such as using in web 2.0 tools. This study identifies factors that contribute to success in online learning from the students¿ perspective and their relationship with time patterns. A survey of learning outputs was used to find relationships between students¿ satisfaction, knowledge acquisition and knowledge transfer with time for working on academic tasks. In this study, 199 students from a university in Mexico completed the survey. Findings suggest that knowledge transfer has a significant association with the number of hours online per day, hours spent on social networks and the use made of e-learning during working hours. Learner satisfaction has a strong relationship with the time in years a learner has been using the Internet and the number of hours devoted to the course per week. The findings of this research will be helpful for faculty and instructional designers for implementing learning strategies.

Hacia la alfabetización numérica en Educación Infantil: algunos avances en Chile y España

This article reviews the main contemporary international references on numerical knowledge acquisition in the kindergarten stage. Secondly it analyzes the instructions curricular in two countries-one Spanish-speaking Latin America (Chile) and one European (Spain) - to determine the extent to assume international benchmarks while comparing the curricula of both countries. Finally, it presents a proposal for intervention in the classroom that the combination of different learning contexts and processes to investigate mathematical teaching practices and most effective in promoting and numeracy of children from the earliest ages

Approximation to the theory of affinities to manage the problems of the groupping process

New economic and enterprise needs have increased the interest and utility of the methods of the grouping process based on the theory of uncertainty. A fuzzy grouping (clustering) process is a key phase of knowledge acquisition and reduction complexity regarding different groups of objects. Here, we considered some elements of the theory of affinities and uncertain pretopology that form a significant support tool for a fuzzy clustering process. A Galois lattice is introduced in order to provide a clearer vision of the results. We made an homogeneous grouping process of the economic regions of Russian Federation and Ukraine. The obtained results gave us a large panorama of a regional economic situation of two countries as well as the key guidelines for the decision-making. The mathematical method is very sensible to any changes the regional economy can have. We gave an alternative method of the grouping process under uncertainty.

Long-term functional improvements in the 2-year treatment of schizophrenia outpatients with olanzapine long-acting injection

BACKGROUND: Little is known about the long-term changes in the functioning of schizophrenia patients receiving maintenance therapy with olanzapine long-acting injection (LAI), and whether observed changes differ from those seen with oral olanzapine. METHODS: This study describes changes in the levels of functioning among outpatients with schizophrenia treated with olanzapine-LAI compared with oral olanzapine over 2 years. This was a secondary analysis of data from a multicenter, randomized, open-label, 2-year study comparing the long-term treatment effectiveness of monthly olanzapine-LAI (405 mg/4 weeks; n=264) with daily oral olanzapine (10 mg/day; n=260). Levels of functioning were assessed with the Heinrichs-Carpenter Quality of Life Scale. Functional status was also classified as 'good', 'moderate', or 'poor', using a previous data-driven approach. Changes in functional levels were assessed with McNemar's test and comparisons between olanzapine-LAI and oral olanzapine employed the Student's t-test. RESULTS: Over the 2-year study, the patients treated with olanzapine-LAI improved their level of functioning (per Quality of Life total score) from 64.0-70.8 (P<0.001). Patients on oral olanzapine also increased their level of functioning from 62.1-70.1 (P<0.001). At baseline, 19.2% of the olanzapine-LAI-treated patients had a 'good' level of functioning, which increased to 27.5% (P<0.05). The figures for oral olanzapine were 14.2% and 24.5%, respectively (P<0.001). Results did not significantly differ between olanzapine-LAI and oral olanzapine. CONCLUSION: In this 2-year, open-label, randomized study of olanzapine-LAI, outpatients with schizophrenia maintained or improved their favorable baseline level of functioning over time. Results did not significantly differ between olanzapine-LAI and oral olanzapine.

Knowledge management for systems biology a general and visually driven framework applied to translational medicine

Background: To enhance our understanding of complex biological systems like diseases we need to put all of the available data into context and use this to detect relations, pattern and rules which allow predictive hypotheses to be defined. Life science has become a data rich science with information about the behaviour of millions of entities like genes, chemical compounds, diseases, cell types and organs, which are organised in many different databases and/or spread throughout the literature. Existing knowledge such as genotype - phenotype relations or signal transduction pathways must be semantically integrated and dynamically organised into structured networks that are connected with clinical and experimental data. Different approaches to this challenge exist but so far none has proven entirely satisfactory. Results: To address this challenge we previously developed a generic knowledge management framework, BioXM™, which allows the dynamic, graphic generation of domain specific knowledge representation models based on specific objects and their relations supporting annotations and ontologies. Here we demonstrate the utility of BioXM for knowledge management in systems biology as part of the EU FP6 BioBridge project on translational approaches to chronic diseases. From clinical and experimental data, text-mining results and public databases we generate a chronic obstructive pulmonary disease (COPD) knowledge base and demonstrate its use by mining specific molecular networks together with integrated clinical and experimental data. Conclusions: We generate the first semantically integrated COPD specific public knowledge base and find that for the integration of clinical and experimental data with pre-existing knowledge the configuration based set-up enabled by BioXM reduced implementation time and effort for the knowledge base compared to similar systems implemented as classical software development projects. The knowledgebase enables the retrieval of sub-networks including protein-protein interaction, pathway, gene - disease and gene - compound data which are used for subsequent data analysis, modelling and simulation. Pre-structured queries and reports enhance usability; establishing their use in everyday clinical settings requires further simplification with a browser based interface which is currently under development.