Screening a Case Base for Stroke Disease Detection

Stroke stands for one of the most frequent causes of death, without distinguishing age or genders. Despite representing an expressive mortality fig-ure, the disease also causes long-term disabilities with a huge recovery time, which goes in parallel with costs. However, stroke and health diseases may also be prevented considering illness evidence. Therefore, the present work will start with the development of a decision support system to assess stroke risk, centered on a formal framework based on Logic Programming for knowledge rep-resentation and reasoning, complemented with a Case Based Reasoning (CBR) approach to computing. Indeed, and in order to target practically the CBR cycle, a normalization and an optimization phases were introduced, and clustering methods were used, then reducing the search space and enhancing the cases re-trieval one. On the other hand, and aiming at an improvement of the CBR theo-retical basis, the predicates` attributes were normalized to the interval 0…1, and the extensions of the predicates that match the universe of discourse were re-written, and set not only in terms of an evaluation of its Quality-of-Information (QoI), but also in terms of an assessment of a Degree-of-Confidence (DoC), a measure of one`s confidence that they fit into a given interval, taking into account their domains, i.e., each predicate attribute will be given in terms of a pair (QoI, DoC), a simple and elegant way to represent data or knowledge of the type incomplete, self-contradictory, or even unknown.

Relationship between biomarkers of cartilage in serum and degenerative joint disease in lusitanian horses

Cartilage degradation biomarkers are a potential tool for early diagnosis of degen- erative joint disease (DJD). In young horses, Coll2-1 and Coll2-1NO2 have been studied in serum and reported to be useful in the assessment of joint disease. Fib3-2 has been described to be higher in serum of humans with osteoarthritis but has not been assessed in horses. The aim of the current study was to evaluate biomarkers’ changes with age, sex, and exercise and correlate them with DJD. Blood collection and radiographic examination were performed in 51 Lusitanian horses. Moreover, inertial sensor-based detection of lameness was used to assess pain together with sub- jective examination. Females presented significantly higher concentrations of Coll2- 1 (P5.015) and Coll2-1NO2 (P5.014) compared to males. We found significant influence of high level of work in lower concentration of Coll2-1 (P5.001) and sig- nificant influence of sex in concentration of Coll2-1NO2 (P5.030). There was no influence of sex, age and work on Fib3-2. All biomarkers were increased in the DJD group (n535) compared to healthy controls (n516). This difference was significant for Coll2-1 (P5.015). When sorted by sex and age groups, significant difference in Coll2-1 between disease and healthy controls disappeared in old horses and females. Coll2-1 is a good marker of cartilage degradation in horses with DJD, being more specific in young horses and males. Fib3-2 may be further explored to help identify disease in particular cases.

Assessment of the Availability of Forest Biomass for Bioenergy Production in Southwest Portugal.

In 2014, Portugal was the seventh largest pellets producer in the World. Since the shortage of raw material is one of the major obstacles that the Portuguese sellets market faces, the need for a good assessment of biomass availability for energy purposes at both country and regional levels is reinforced. This work uses a Geographical Information System environment and remote sensing data to assess the availability and sustainability of forest biomass residues in a management unit with around 940 ha of maritime pine forest. The period considered goes from 2004 to 2015. The study area is located in Southwestern Portugal, close to a pellets factory; therefore the potential Contribution of the residual biomass generated in the management unit to the production of pellets is evaluated. An allometric function is used for the estimation of maritime pine above ground biomass. With this estimate, and considering several forest operations, the residual biomass available was assessed, according to stand composition and structure. This study shows that, when maritime pine forests are managed to produce wood, the amount of residues available for energy production is small (an average of 0.37 t ha -1  year -1 were generated in the study area between 2004 and 2015). As a contribution to the sustainability of the Portuguese pellets industries, new management models for maritime pine forests may be developed. The effect of the pinewood nematode on the availability of residual biomass can be clearly seen in this study. In the management unit considered, cuts were made to prevent dissemination of the disease. This contributes to a higher availability of forest residues in a specific period of time, but, in the medium term, they lead to a decrease in the amount of residues that can be used for energy purposes.

Relationship between biomarkers of cartilage in serum and degenerative joint disease in Lusitano horses

Introduction: Cartilage degradation biomarkers are a potential tool for early diagnosis of degenerative joint disease (DJD). In young horses, Coll2-1 and Coll2-1NO2 have been studied in serum and reported to be useful in the assessment of joint disease. Fib3-2 has been described to be higher in serum of humans with osteoarthritis but was never assessed in horses. The aim of the current study was to evaluate biomarkers’ changes with age, sex and exercise and correlate them with DJD. Material and Methods: Blood collection and radiographic examination were performed in 51 Lusitanian horses. Moreover, inertial sensor-based detection of lameness was used to assess pain together with subjective examination. Results: Females presented significantly higher concentrations of Coll2-1 (p = 0.015) and Coll2-1NO2 (p = 0.014) compared to males. We have found significant influence of high level of work in lower concentration of Coll2-1 (p = 0.001) and significant influence of sex in concentration of Coll2-1NO2 (p = 0.030). There was no influence of sex, age and work on Fib3-2. All biomarkers were increased in the DJD group (n= 35) compared to healthy controls (n = 16). This difference was significant for Coll2-1 (p = 0.015). When sorted by sex and age groups, significant difference in Coll2-1 between disease and healthy controls disappeared in old horses and females. Discussion/ Conclusion: Coll2-1 is a good marker of cartilage degradation in horses with DJD, being more specific in young horses and males. Fib3-2 may be further explored to help identify disease in particular cases.