Chapters authored
An Expert System Based on Computer Vision and Statistical Modelling to Support the Analysis of Collagen Degradation
The poly(DL-lactide-co-glycolide) (PDLGA) copolymers have been specifically designed and performed as biomaterials, taking into account their biodegradability and biocompatibility properties. One of the applications of statistical degradation models in material engineering is the estimation of the materials degradation level and reliability. In some reliability studies, as the present case, it is possible to measure physical degradation (mass loss, water absorbance, pH) depending on time. To this aim, we propose an expert system able to provide support in collagen degradation analysis through computer vision methods and statistical modelling techniques. On this base, the researchers can determine which statistical model describes in a better way the biomaterial behaviour. The expert system was trained and evaluated with a corpus of 63 images (2D photographs obtained by electron microscopy) of human mesenchymal stem cells (CMMh-3A6) cultivated in a laboratory experiment lasting 44 days. The collagen type-1 sponges were arranged in 3 groups of 21 samples (each image was obtained in intervals of 72 hours).
Part of the book: Intelligent System
CREAMINKA: An Intelligent Ecosystem for Supporting Management and Information Discovery in Research and Innovation Fields in Universities
This chapter presents a new proposal for supporting the management of research processes in universities and higher education centers. To this aim, the authors have developed a comprehensive ecosystem that implements a knowledge model that addresses three innovative aspects of research: (i) acceleration of knowledge production, (ii) research valorization and (iii) discovery of improbable peers. The ecosystem relies on ontologies and intelligent modules and is able to automatically retrieve information of major scientific databases such as SCOPUS and Science Direct to infer new information. Currently, the system is able to provide guidelines to create improbable research peers as well as automatically generate resilience graphics and reports from more than 17,000 tuples of the ontological database. In this work, the authors describe in detail an important aspect of support systems for research management in higher education: the development and valorization of competences of students collaborating in research process and startUPS of universities. Furthermore, a knowledge model of entrepreneurship (startUPS) as well as an analyzer of general and specific competences based on data mining processes is presented.
Part of the book: Management of Information Systems
Planning Methods in Ecuador’s Indigenous People
Sexual and reproductive health (SRH) is a fundamental human right that implies knowledge and exercise of sexual and reproductive rights (SSR). Among the latter are access to knowledge and use of contraceptive methods; therefore, SSR should be experienced as a constant experience that allows women to achieve full satisfaction and security in their sexual and reproductive sphere through their subjectivity, their body, and their social and cultural life. Knowing about family planning allows having the desired number of children determining the interval between pregnancies and choosing the contraceptive method according to the social, cultural and psychological beliefs, needs and conditions of each woman. However, indigenous women from Canton Cañar (Ecuador) have less access and knowledge to contraceptive methods, mainly due to the influence of social, cultural, religious and economic factors, among others. The lack of information about family planning in indigenous populations of the South of Ecuador has motivated this study; through a medical-anthropological approach, it is intended to determine what is the preference regarding contraceptive methods in indigenous Cañari women in the context of the Cañari culture and what are their perceptions regarding such methods.
Part of the book: Family Planning and Reproductive Health