Functionality of low digestibility emulsions in cocoa creams : structural changes during in vitro digestion and sensory perception

The objective of this work was to evaluate the application of low digestibility oil/water emulsions as fat source in a cocoa cream. Emulsions were composed by water, sunflower oil and cellulose ethers or xanthan gum. Back extrusion assays were measured before and after in vitro digestion and free fatty acids release were measured to evaluate the fat digestibility. Finally consumer acceptability was carried out to determine the degree of liking of each system. The results revealed that all the emulsions confer a suitable consistency to the creams and the structure provided by the hydrocolloids was resistant to digestion, reducing the fat digestibility. However, after gastric digestion only cream with xanthan gum showed a significant increase in consistency what it could be related with an increase in satiety. Regarding the sensory characteristics, the cream elaborated with xanthan gum was rated close to the control cream that received the highest scores

The presidency of the governing boards of cooperatives in Spain: a gendered approach

International cooperative values and principles are guidelines that could lead cooperatives towards greater gender equality in the decision-making process. Stimulated by the interest in cooperatives and by the growing demand for advocating a faster increase in the presence of chairwomen in boardrooms, this research aims to analyse the impact of the gender of the cooperative president in some variables related to financial and employment ratios, corporate governance and other characteristics of the organization in Spain. Information about the major Spanish cooperative entities has been collected and analyzed to carry out the empirical study. We find that cooperatives with higher liquidity ratio, higher number of employees, higher percentage of female employees, higher employee costs divided by operating revenue ratio, lower indebtedness, and fewer years since the appointment of the president have a higher probability of belonging to the group of cooperatives with a board chaired by a woman. Cooperatives headed by women exhibit a higher ratio of staffing costs to operating revenues, which could indicate an increased intensity of cooperative principles and values related with the primacy of the economic welfare of workers over the economic benefits

Barriers to innovation in Spanish rural Small and Medium-Sized Enterprises

In the context of globalisation, innovation has been recognized as a key driver of Europe’s national and regional economies, whether rural or not. Nevertheless, rural firms are considered less innovative than firms in urban agglomerations. Rural areas represent three-quarters of the land of the OECD countries and are home to a quarter of its population. Moreover, small and medium enterprises (SMEs) are the backbone of the economy. This paper reviews the barriers to innovation indicated throughout literature, brings out what constitutes the main barriers in rural SMEs and presents an understanding of some of the factors that determine the position of these firms in responding to new requirements. Data were collected through a questionnaire for managers of 511 SMEs in a rural area of Spain. Statistical analysis was performed with SPSS software package. The results identify key factors that hinder innovation in rural SMEs, namely those related to economic reasons, such as high costs of the innovation or the difficulty to obtain financial resources, and risk aversion issues. Specific research related to the study of innovation barriers in SMEs firms in rural areas is limited. Therefore, this paper fills this research gap by expanding the body of knowledge in the field of rural SMEs innovation and provides further evidence on this phenomenon. The results also offer relevant insights for managers and policy makers when formulating and implementing strategies to diminish innovation barriers in rural SMEs

Generalized Arago-Fresnel laws: The EME-flow-line description

We study experimentally and theoretically the influence of light polarization on the interference patterns behind a diffracting grating. Different states of polarization and configurations are been considered. The experiments are analyzed in terms of electromagnetic energy (EME) flow lines, which can be eventually identified with the paths followed by photons. This gives rise to a novel trajectory interpretation of the Arago-Fresnel laws for polarized light, which we compare with interpretations based on the concept of "which-way" (or "which-slit") information.Comment: 14 pages, 6 figure

Structural changes in biscuits made with cellulose emulsions as fat replacers

[EN] Biscuits are a popular baked cereal food much appreciated by consumers. In the last few years, cellulose derivatives have been successfully used as fat replacers in biscuits. In this way, not only is the total amount of fat reduced but also the saturated fatty acids and the trans fatty acids are eliminated. The aim of this study is to increase understanding of the functionality of different cellulose ether emulsions used as fat replacers in biscuits. For this purpose, three emulsions with different cellulose ethers were designed: hydroxypropyl methylcellulose, methylcellulose and methylcellulose with greater methoxyl substitution (MCH). The microstructure and textural properties of the doughs and biscuits prepared with these emulsions were studied and the effects of cellulose types and glycerol as textural improver were also analysed. The results showed that the incorporation of glycerol in the doughs made with methylcellulose and hydroxypropyl methylcellulose cellulose emulsions seems to make the dough softer, bringing the values closer to those of the control dough; however, this effect disappears once the dough is baked. The presence of glycerol does not seem to have an effect on the hardness of the doughs and biscuits made using the methylcellulose with greater methoxyl substitution (MCH) emulsion.The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The authors are grateful to the Spanish Ministry of Economy and Competitiveness for financial support (AGL2015-68923-C2) and gratefully acknowledge the financial support of EU FEDER funds.Teresa Sanz; Quiles Chuliá, MD.; Salvador Alcaraz, A.; Hernando Hernando, MI. (2017). Structural changes in biscuits made with cellulose emulsions as fat replacers. Food Science and Technology International. 23(6):480-489. https://doi.org/10.1177/1082013217703273S48048923

Example of a blog as a research and academic toll about drawing

This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-319-58856-8_26The blog a fresh drawing everyday started in a classroom, 5 years ago, when I suggested my students doing a drawing every day. After the general answer “that is impossible”, I proposed uploading a daily drawing in the web, so they could check if it was possible. Since then, I am sketching every day and posting a “fresh” drawing at this blog, alternating them, occasionally, with some old sketches. Starting with black and white sketches, color has instinctively started being protagonist in this illustrated and personal diary that reflects my personal and academic life and the evolution of drawing on it.Postprint (published version

Use of a decision support system for benchmarking analysis and organizational improvement of regional mental health care:Efficiency, stability and entropy assessment of the mental health ecosystem of Gipuzkoa (Basque Country, Spain)

Decision support systems are appropriate tools for guiding policymaking processes, especially in mental health (MH), where care provision should be delivered in a balanced and integrated way. This study aims to develop an analytical process for (i) assessing the performance of an MH ecosystem and (ii) identifying benchmark and target-for-improvement catchment areas. MH provision (inpatient, day and outpatient types of care) was analysed in the Mental Health Network of Gipuzkoa (Osakidetza, Basque Country, Spain) using a decision support system that integrated data envelopment analysis, Monte Carlo simulation and artificial intelligence. The unit of analysis was the 13 catchment areas defined by a reference MH centre. MH ecosystem performance was assessed by the following indicators: relative technical efficiency, stability and entropy to guide organizational interventions. Globally, the MH system of Gipuzkoa showed high efficiency scores in each main type of care (inpatient, day and outpatient), but it can be considered unstable (small changes can have relevant impacts on MH provision and performance). Both benchmark and target-for-improvement areas were identified and described. This article provides a guide for evidence-informed decision-making and policy design to improve the continuity of MH care after inpatient discharges. The findings show that it is crucial to design interventions and strategies (i) considering the characteristics of the area to be improved and (ii) assessing the potential impact on the performance of the global MH care ecosystem. For performance improvement, it is recommended to reduce admissions and readmissions for inpatient care, increase workforce capacity and utilization of day care services and increase the availability of outpatient care services

Modelling the balance of care:Impact of an evidence-informed policy on a mental health ecosystem

Major efforts worldwide have been made to provide balanced Mental Health (MH) care. Any integrated MH ecosystem includes hospital and community-based care, highlighting the role of outpatient care in reducing relapses and readmissions. This study aimed (i) to identify potential expert-based causal relationships between inpatient and outpatient care variables, (ii) to assess them by using statistical procedures, and finally (iii) to assess the potential impact of a specific policy enhancing the MH care balance on real ecosystem performance. Causal relationships (Bayesian network) between inpatient and outpatient care variables were defined by expert knowledge and confirmed by using multivariate linear regression (generalized least squares). Based on the Bayesian network and regression results, a decision support system that combines data envelopment analysis, Monte Carlo simulation and fuzzy inference was used to assess the potential impact of the designed policy. As expected, there were strong statistical relationships between outpatient and inpatient care variables, which preliminarily confirmed their potential and a priori causal nature. The global impact of the proposed policy on the ecosystem was positive in terms of efficiency assessment, stability and entropy. To the best of our knowledge, this is the first study that formalized expert-based causal relationships between inpatient and outpatient care variables. These relationships, structured by a Bayesian network, can be used for designing evidence-informed policies trying to balance MH care provision. By integrating causal models and statistical analysis, decision support systems are useful tools to support evidence-informed planning and decision making, as they allow us to predict the potential impact of specific policies on the ecosystem prior to its real application, reducing the risk and considering the population’s needs and scientific findings

Use of the self-organising map network (SOMNet) as a decision support system for regional mental health planning

Background: Decision-making in mental health systems should be supported by the evidence-informed knowledge transfer of data. Since mental health systems are inherently complex, involving interactions between its structures, processes and outcomes, decision support systems (DSS) need to be developed using advanced computational methods and visual tools to allow full system analysis, whilst incorporating domain experts in the analysis process. In this study, we use a DSS model developed for interactive data mining and domain expert collaboration in the analysis of complex mental health systems to improve system knowledge and evidence-informed policy planning. Methods: We combine an interactive visual data mining approach, the self-organising map network (SOMNet), with an operational expert knowledge approach, expert-based collaborative analysis (EbCA), to develop a DSS model. The SOMNet was applied to the analysis of healthcare patterns and indicators of three different regional mental health systems in Spain, comprising 106 small catchment areas and providing healthcare for over 9 million inhabitants. Based on the EbCA, the domain experts in the development team guided and evaluated the analytical processes and results. Another group of 13 domain experts in mental health systems planning and research evaluated the model based on the analytical information of the SOMNet approach for processing information and discovering knowledge in a real-world context. Through the evaluation, the domain experts assessed the feasibility and technology readiness level (TRL) of the DSS model. Results: The SOMNet, combined with the EbCA, effectively processed evidence-based information when analysing system outliers, explaining global and local patterns, and refining key performance indicators with their analytical interpretations. The evaluation results showed that the DSS model was feasible by the domain experts and reached level 7 of the TRL (system prototype demonstration in operational environment). Conclusions: This study supports the benefits of combining health systems engineering (SOMNet) and expert knowledge (EbCA) to analyse the complexity of health systems research. The use of the SOMNet approach contributes to the demonstration of DSS for mental health planning in practice

Apoyo a la toma de decisiones para la mejora de la gestión en explotaciones agroforestales

La agricultura actual se encuentra inmersa en un proceso acelerado de actualización y adaptación a un modelo digital de trabajo que se extiende imparable a lo largo de toda la cadena agroalimentaria. Parte de esta evolución viene marcada por la incorporación de las TIC (tecnologías de la información y la comunicación), y por la disponibilidad de nuevas soluciones de hardware y software que están cambiando la forma de trabajar en el campo mediante la monitorización de las labores agrícolas y el análisis de los datos generados en las explotaciones