Developing customized fuel models for shrub and bracken communities in Galicia (NW Spain).

Geospatial fire behaviour and fire hazard simulators, fire effects models and smoke emission software commonly use standard fuel models in order to simplify data collection and the inclusion of complex fuel scenarios. These fuel models are often mapped using remotely sensed data. However, given the great complexity of fuelbeds, with properties that vary widely in both time and space, the use of these standard fuel models can greatly limit accurate fuel mapping. This affects fuel hazard assessment, fuel reduction treatment plans, fire management decision-making and evaluation of the environmental impact of wildfire. In this study, we developed unique customized fire behaviour fuel models for shrub and bracken communities, by using k-medoids clustering analysis based on both fuel structural characteristics and potential fire behaviour. We used an original database of 722 destructive sample plots in nine different shrub and bracken communities covering the entire distribution area in Galicia (NW Spain), one of the regions in Europe most affected by forest fires. Measurements of cover, height and fuel fractions loads differentiated by size and vegetative state (live or dead) were used to estimate the potential rate of fire spread with five different models including fireline intensity, heat per unit area and the flame length for each sampling site and considering extreme environmental conditions. The optimal number of clusters was established by combining practical knowledge about the shrubland communities under study and their associated fire behaviour, with maximization of the mean value of the silhouette variable and minimization of the within-cluster sum of squares. The structural characteristics of the medoids derived from the analysis were associated with each of the proposed customized fuel models. Finally, a simple dichotomous classification based only on shrub height was developed to enable construction of spatially explicit fuel model maps based on remotely sensed data. Thus, the methodology applied allows generation of a more realistic representation of fuel distribution in the landscape, based on fuel structure measurements of natural regional ecosystems rather than on the use of standard models. We believe that the proposed methodology is generally applicable to communities composed of other shrub and fern species in different biogeographical regions.

Use of 3D printing and pre-contouring plate in the surgical planning of acetabular fractures: A systematic review.

BACKGROUND: Acetabular fractures are caused by high energy injuries. The treatment aims to reconstruct the articular surface, restoring the anatomical structure. The surgical management of these fractures is difficult because it requires familiarity with the 3D anatomy of the pelvis. With the use of 3D printing technique for planning surgery, this limitation could be overcome. HYPOTHESIS: Studies examining the use of 3D printing in pre-operative planning of acetabular fractures tend to agree on its usefulness. METHODS: A systematic review of two electronic medical databases was performed by three independent authors, using the following inclusion criteria: any type of acetabular fracture and pre-operative use of 3D printing to plan the surgery. RESULTS: Among 93 screened articles, following selection criteria, six randomised controlled human trials (hRCT) were eligible for the study; articles compare a group in which a pre-contouring plate was performed through 3D printing with a control group in which the plate was intraoperatively modelled. CONCLUSION: This review demonstrates the advantage of 3D printing in terms of surgical time, reduction of blood losses, quality of fracture reduction, and fixation, and reporting best clinical outcomes. LEVEL OF EVIDENCE: II.

Functional Outcome at Short and Middle Term of the Extracorporeal Shockwave Therapy Treatment in Lateral Epicondylitis: A Case-Series Study.

Lateral epicondylitis (LE) of the humerus is a chronic degeneration of wrist extensor tendons at their attachments to the lateral epicondyle of the humerus. There is not a common consensus on a specific therapeutic algorithm, but Extracorporeal Shockwave Therapy (ESWT) is widely used. The purpose of this study is to evaluate the clinical benefits of low dose ESWT in LE-affected patients in short and medium follow-up. Between January 2015 and December 2017, 60 patients (38 male, mean age 52.2 ± 10.1 years, the duration of the disease was 3.6 ± 1.3 months) were clinically evaluated using visual analog scale (VAS) and Patient Rated Tennis Elbow Evaluation Test (PRTEE-I) scores before treatment, at one, three, six and 12 months after treatment. According to the VAS and PRTEE-I scoring systems, all patients achieved an improvement of pain and functional outcome comparing the baseline results with one, six and 12 months values. Low dose ESWT is a safe and effective treatment of LE in the short and middle term. In elderly subjects, patients with a long disease history, or those with occupational and sportive risk factors, a longer persistence of the symptomatology could be observed.

Extracorporeal Shockwave Therapy Treatment in Upper Limb Diseases: A Systematic Review.

Background: Rotator cuff tendinopathy (RCT), subacromial impingement (SAIS), and medial (MEP) and lateral (LEP) epicondylitis are the most common causes of upper limb pain caused by microtrauma and degeneration. There are several therapeutic choices to manage these disorders: extracorporeal shockwave therapy (ESWT) has become a valuable option. METHODS: A systematic review of two electronic medical databases was performed by two independent authors, using the following inclusion criteria: RCT, SAIS, MEP, and LEP, ESWT therapy without surgical treatment, with symptoms duration more than 2 months, and at least 6 months of follow-up. Studies of any level of evidence, reporting clinical results, and dealing with ESWT therapy and RCT, SAIS, MEP, and LEP were included. RESULTS: A total of 822 articles were found. At the end of the first screening, following the previously described selection criteria, we selected 186 articles eligible for full-text reading. Ultimately, after full-text reading, and reference list check, we selected 26 articles following previously written criteria. CONCLUSIONS: ESWT is a safe and effective treatment of soft tissue diseases of the upper limbs. Even in the minority cases when unsatisfied results were recorded, high energy shockwaves were nevertheless suggested in prevision of surgical treatment.

Modelling the vertical distribution of canopy fuel load using national forest inventory and low-density airbone laser scanning data.

The fuel complex variables canopy bulk density and canopy base height are often used to predict crown fire initiation and spread. Direct measurement of these variables is impractical, and they are usually estimated indirectly by modelling. Recent advances in predicting crown fire behaviour require accurate estimates of the complete vertical distribution of canopy fuels. The objectives of the present study were to model the vertical profile of available canopy fuel in pine stands by using data from the Spanish national forest inventory plus low-density airborne laser scanning (ALS) metrics. In a first step, the vertical distribution of the canopy fuel load was modelled using the Weibull probability density function. In a second step, two different systems of models were fitted to estimate the canopy variables defining the vertical distributions; the first system related these variables to stand variables obtained in a field inventory, and the second system related the canopy variables to airborne laser scanning metrics. The models of each system were fitted simultaneously to compensate the effects of the inherent cross-model correlation between the canopy variables. Heteroscedasticity was also analyzed, but no correction in the fitting process was necessary. The estimated canopy fuel load profiles from field variables explained 84% and 86% of the variation in canopy fuel load for maritime pine and radiata pine respectively; whereas the estimated canopy fuel load profiles from ALS metrics explained 52% and 49% of the variation for the same species. The proposed models can be used to assess the effectiveness of different forest management alternatives for reducing crown fire hazard.