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Sustainable production of wood is one of the main services provided by forest systems. Site productivity in the case of forests is often evaluated through the site quality. However, most of the works addressing the site quality have been done at local or regional scale. In this work, we aim to develop site quality models for five dominant species in Spanish forests ( Fagus sylvatica , Pinus pinaster atlantica , Quercus pyrenaica , Pinus nigra , Pinus sylvestris ) and create site quality maps at a national-scale from these models. First, we develop site quality models using site form (height-diameter relationship) as the reference index and the Spanish National Forest Inventory as dataset. Then, we fit spatial additive models entering physiographic and climatic variables in order to predict the site quality over the whole country. Additionally, we plot site form maps for the five species in order to describe spatial pattern in site quality at a national scale. Altitude and aspect appeared to be fundamental variables in the assessment of site quality. The accuracy of the spatial additive models ranged from 38.2% to 47.9%. The correspondence between the predicted and observed maps of site qualities is clear. Our results provide a tool which could be used by forest managers in land use planning as well as in forest policy decision-making at a national scale. We suggest that this method could be used in other countries and that the maps could be expanded to the European scale to assessing the way in which site quality varies across Europe always considering that the relationships between forest productivity and environmental variables could vary among biogeoclimatic zones. [ABSTRACT FROM AUTHOR]

• It has been detected a deterioration of cork quality in the sampled stands. • Cerambycidae and Coroebus undatus are prevalent in the sampled stands. • Stands with good growing state showed a higher presence of Coroebus undatus. • It is advisable to extend the stripping cycle duration for obtaining good cork. • The same trees should be monitored in each consecutive cork sampling plan. Good knowledge of the factors that influence cork quality and the health of forests is essential when making decisions regarding the management of productive cork oak forests. The quality of cork planks depends on: plank thickness, plank porosity and the presence of anomalies. So far, no studies have evaluated cork quality based on cork anomalies, partly due to the difficulty of obtaining adequate data. In 1985, it was developed the first Cork Quality Field Assessment Plan (CQFAP) to provide information about the quality of harvested cork by collecting data of very high quality. This work analyzes the anomalies present in 2049 cork sampling units collected from ten stands under the CQFAP for the period 1986–2012 in three consecutive cork stripping cycles. Data on diseases, pests and stripping damages are also analyzed in the 654 trees where cork sampling units were collected in the third stripping cycle. Additionally, mean monthly temperature and precipitation values for the 35 years covering the three stripping periods were calculated. A progressive deterioration of cork quality was observed in the sampled cork oak stands. It was found a positive relationship between cork thickness and temperature indicating that the cork growing period could be extended when temperatures are moderate. Sampled cork oaks were more affected by Cerambycidae attacks and Coraebus undatus indicating their prevalent nature. The presence of Coraebus undatus were higher in stands with good health status. The studied diseases were Biscogniauxia mediterranea , Phytophthora sp. and fungi of the family Botryosphaeriaceae , finding a not previously reported correlation between the presence of Crematogaster scutellaris and the three studied diseases. Stripping damages increase with smaller cork thickness but climate is not a decisive factor for a proper stripping. Although having room for improvement, the CQFAP is proving to be an effective tool for assessing the quality of cork, the health status of cork oak forests and the evolution of these forests over time. The information provided could be also used to identify places worthy of further studying. The main recommendation for improving the CQFAP would be to monitor the same trees in each consecutive sampling for properly monitoring cork thickness and the presence of defects to be used as a proxy for tree health. Regarding forest management, the main recommendations would be to extend the length of stripping cycles to enhance cork production, and to use the new tools and systems for cork stripping to reduce damage. [ABSTRACT FROM AUTHOR]

Background: Brain Injury (BI) has become one of the most common causes of neurological disability in developed countries. Cognitive disorders result in a loss of independence and patients' quality of life. Cognitive rehabilitation aims to promote patients' skills to achieve their highest degree of personal autonomy. New technologies such as virtual reality or interactive video allow developing rehabilitation therapies based on reproducible Activities of Daily Living (ADLs), increasing the ecological validity of the therapy. However, the lack of frameworks to formalize and represent the definition of this kind of therapies can be a barrier for widespread use of interactive virtual environments in clinical routine.Objectives: To provide neuropsychologists with a methodology and an instrument to design and evaluate cognitive rehabilitation therapeutic interventions strategies based on ADLs performed in interactive virtual environments.Methods: The proposed methodology is used to model therapeutic interventions during virtual ADLs considering cognitive deficit, expected abnormal interactions and therapeutic hypotheses. It allows identifying abnormal behavioural patterns and designing interventions strategies in order to achieve errorless-based rehabilitation.Results: An ADL case study ('buying bread') is defined according to the guidelines established by the ADL intervention model. This case study is developed, as a proof of principle, using interactive video technology and is used to assess the feasibility of the proposed methodology in the definition of therapeutic intervention procedures.Conclusions: The proposed methodology provides neuropsychologists with an instrument to design and evaluate ADL-based therapeutic intervention strategies, attending to solve actual limitation of virtual scenarios, to be use for ecological rehabilitation of cognitive deficit in daily clinical practice. The developed case study proves the potential of the methodology to design therapeutic interventions strategies; however our current work is devoted to designing more experiments in order to present more evidence about its values. [ABSTRACT FROM AUTHOR]

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The article discusses the presence of databases of Spanish research institute Consejo Superior de Investigaciones Científicas (CSIC) in university and scientific online libraries. It also evaluates available instructional materials on the use of these databases. The article describes two basic problems related to these databases. First, they can be difficult to locate and access and second, the information that is accessed can be out of date or incorrect.

Copyright of Papeles de Población is the property of Universidad Autonoma del Estado de Mexico and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Abstract: A diameter increment model for cork oak was developed based on measurements taken twice at 72 permanent plots in cork oak forest in southern Spain. Empirical and semi-empirical models were compared. In the empirical model diameter increment was expressed as a function of tree and stand characteristics such as diameter, density and site index. In the semi-empirical model, the diameter increment was expressed as a function of the potential diameter growth multiplied by a modifier, applying a correction factor to the potential growth to take into account the variability associated with different climatic conditions in the years when the plots were measured. The first step was to select the best model for each one of these methods, considering both statistical properties and predictive ability. The two chosen models were then compared through the characterisation of the model error. Both models behaved similarly explained about the same amount of variation in diameter increment and provided realistic diameter increment predictions. [Copyright &y& Elsevier]

• Developed 3-level mixed-effects model GADA-based cork growth model. • Tree-level random effects described higher growth variations than region- and stand-level random effects. • Calibrated mixed-effects model outperformed the previously developed cork growth models. • Calibrated mixed-effects model with one measurement showed high prediction accuracy. • Model predictions was suitable for more than 90% Spanish cork oak forests. Cork value is determined mainly by its thickness at the moment of debarking but is also affected by the presence of any discontinuities related to porosity characteristics and/or the presence of anomalies in the cork plank. Cork quality is closely related to the final price of the raw material, so inventories conducted prior to the cork debarking are aimed at identifying the characteristics of the cork and therefore its potential price. Besides information from these cork inventories, forest managers also need a reliable prediction of the final cork thickness to help them determine the most profitable moment to harvest. In this work, a three-level nonlinear mixed effects cork growth model was developed for Spanish cork oak forests using 1027 cork samples taken in nine regions of provenance into which Spain is divided for identification of forest reproductive material. The fitting step revealed that the region and the stand level explained much less variability than the tree level in the three-level mixed-effects models. Therefore, subject–specific predictions were obtained with the joint use of region-, stand-and tree-level random effects. The subject–specific predictions were compared with three alternative prediction options when no additional measurements are available. The precision of predictions with calibrated mixed-effects model using region-, stand-, and tree-level random effects was 0.1 mm when taking one additional measurement at any time during the rotation period. The developed model is more precise and has a wider range of application than the previous model, being suitable for predicting accumulated cork thickness in more than 90% of the cork oak distribution area in Spain. However, it should only be applied to make predictions within a given cork rotation period and not to simulate cork growth over potential successive cork rotations. In the future, it would be necessary to develop an annual cork growth model which includes site, stand and tree variables and which is capable of providing long-term predictions under different climatic and management scenarios. The model developed in this study could provide the basis for such a model because its random effects could be used to identify the main variables related to cork growth through correlation analysis. [ABSTRACT FROM AUTHOR]

The establishment of a screening index would be a powerful tool to decide whether abandoned uranium mining areas should be rehabilitated or decommissioned. Thus, in this work we established a radiological index which uses the activity concentrations of different groups of gamma emitters from the natural radioactive series of 238U, 235U, and 232Th, as well as 40K and 137Cs. These activity concentrations were calculated by using the absorbed gamma radiation dose value of 175 nGy h−1 specified in the U.S. Code of Federal Regulations. We studied our index in an abandoned uranium mining area in Salamanca, Western Spain, and found that the most influential factors in this area were the presence of organic matter in the soil and the possible effect that plants and fungi may have on the retention of these aforementioned radionuclides. In addition, the results showed that contaminants are migrating in an easterly direction in line with the prevailing wind direction and we were able to identify areas in which the radiological risk is likely high. The mean effective dose rate was 2.51 ± 0.98 mSv y−1 which was equivalent to the levels obtained in previous works. Image 1 • Organic matter, plants and fungi are the principal factors on the retention of U. • Anaerobic conditions are the principal cause of Ra sorption onto soils. • The natural effective dose of the analyzed soils was higher than the world average. • The proposed index establishes whether U mining dump sites should be rehabilitated. Main finding of the work : The proposed index can help establish whether uranium mining dump sites should be rehabilitated and decommissioned. [ABSTRACT FROM AUTHOR]

Neurofibromatosis type I (NF1) is one of the most common genetic disorders in humans. NF1, a tumor predisposition syndrome, is caused by heterozygous pathogenic variants in the NF1 gene. Molecular genetic testing of NF1 is complex, especially because of the presence of a high number of partial pseudogenes, some of them with a high percentage of sequence identity. In this study, we have analyzed the largest cohort of NF1 Spanish patients (150 unrelated individuals suspected of having NF1 and 53 relatives, making a total of 203 individuals). Mutation analysis of the entire coding region was performed in all unrelated index patients. Additionally, the Multiplex Ligation-dependent Probe Amplification (MLPA) test of the NF1 gene and SPRED1 gene analysis (sequencing and MLPA test) was performed in some of the negative patients for NF1 point mutations. When fulfilling the National Institutes of Health (NIH) criterion for the clinical diagnosis of NF1, the detection rate was 79%. Among the 80 genetically confirmed NF1 probands, we detected 69 different pathogenic variants. Two mutations (3%) were gross deletions of the whole gene, the remaining 78 mutations (97%) were small changes spread among all NF1 exons. Among these 69 different mutations detected, 42 mutations were described elsewhere, and 27 mutations were novel mutations. When segregation was studied, 67% of mutations resulted de novo variants. No genetic mosaicism was detected on patients' parents., (© 2018 John Wiley & Sons Ltd/University College London.)

Objective: To analyse the association in newborns between blood levels of phenylalanine and feeding method and gestational age., Study Design: This observational, cross-sectional study included a sample of 11,829 infants between 2008 and 2013 in a Spanish region. Data were recorded on phenylalanine values, feeding method [breast, formula, mixed (breast plus formula), or partial or fully intravenous feeding], gestational age in weeks (<32, 32-37, ≥37), gender and days since birth at the moment of blood collection. Outcomes were [phenylalanine] and [phenylalanine] ≥95th percentile. Associations were analysed using multivariate models [linear (means difference) and logistic regression (adjusted odds ratios)]., Results: Higher phenylalanine values were associated with lower gestational age (p<0.001) and with intravenous feeding (p<0.001)., Conclusion: The degree of prematurity and intravenous feeding influenced the plasma concentration of phenylalanine in the newborn. Caution should be taken in [phenylalanine] for newborns with intravenous feeding, monitoring them carefully. Very preterm infants given the recommended amount of amino acids should also be strictly monitored. These findings should be taken into consideration and call for adapting the amounts to the needs of the infant.

Background: Cognitive skills training for minimally invasive surgery has traditionally relied upon diverse tools, such as seminars or lectures. Web technologies for e-learning have been adopted to provide ubiquitous training and serve as structured repositories for the vast amount of laparoscopic video sources available. However, these technologies fail to offer such features as formative and summative evaluation, guided learning, or collaborative interaction between users., Methodology: The "TELMA" environment is presented as a new technology-enhanced learning platform that increases the user's experience using a four-pillared architecture: (1) an authoring tool for the creation of didactic contents; (2) a learning content and knowledge management system that incorporates a modular and scalable system to capture, catalogue, search, and retrieve multimedia content; (3) an evaluation module that provides learning feedback to users; and (4) a professional network for collaborative learning between users. Face validation of the environment and the authoring tool are presented., Results: Face validation of TELMA reveals the positive perception of surgeons regarding the implementation of TELMA and their willingness to use it as a cognitive skills training tool. Preliminary validation data also reflect the importance of providing an easy-to-use, functional authoring tool to create didactic content., Conclusion: The TELMA environment is currently installed and used at the Jesús Usón Minimally Invasive Surgery Centre and several other Spanish hospitals. Face validation results ascertain the acceptance and usefulness of this new minimally invasive surgery training environment., (Copyright © 2013 Elsevier Inc. All rights reserved.)

Automatic analysis of Minimally Invasive Surgical video has the potential to drive new solutions for alleviating needs of safe and reproducible training programs, objective and transparent evaluation systems and navigation tools to assist surgeons and improve patient safety. Surgical video is an always available source of information, which can be used without any additional intrusive hardware in the operating room. This paper is focused on surgical video analysis methods and techniques. It describes authors' contributions in two key aspects, the 3D reconstruction of the surgical field and the segmentation and tracking of tools and organs based on laparoscopic video images. Results are given to illustrate the potential of this field of research, like the calculi of the 3D position and orientation of a tool from its 2D image, or the translation of a preoperative resection plan into a hepatectomy surgical procedure using the shading information of the image. Research efforts are required to further develop these technologies in order to harness all the valuable information available in any video-based surgery.

Purpose: Laparoscopic techniques have nowadays become a gold standard in many surgical procedures, but they imply a more difficult learning skills process. Simulators have a fundamental role in the formative stage of new surgeons. This paper presents the construct and face validity of SINERGIA laparoscopic virtual reality simulator in order to decide whether it can be considered as an assessment tool., Methods: Twenty people participated in this study, 14 were novices and 6 were experts. Five tasks of SINERGIA were included in the study: coordination, navigation, navigation and touch, precise grasping and coordinate traction. For each one of these tasks, a certain number of metrics are automatically recorded. All subjects accomplished each task only once and filled in two questionnaires. A statistical analysis was made and results from both groups were compared with the Mann-Whitney U-test, considering significant differences when P < or = 0.05. Internal consistency of the system has been analyzed with the Cronbach's alpha test., Results: Novices and experts positively rated SINERGIA characteristics. At least one of the evaluated metrics of each exercise presented significant differences between both groups. Nevertheless, all metrics under study gave a better punctuation to the executions accomplished by experts (lower time, higher efficiency, fewer errors. . .) than to those made by novices., Conclusion: SINERGIA laparoscopic virtual reality simulator is able to discriminate subjects according to their level of experience in laparoscopic surgery; therefore, it can be used within a training program as an assessment tool.