Quantification of growth factors by using a new system for obtaining platelet-rich plasma

Objective: To verify the performance of a new method for obtaining platelet-rich plasma, while avoiding contamination of the sample during its processing. Study Design: Twenty healthy patients were selected, from whom 21 ml of blood was extracted. We then pro-Design: extracted. We proceeded to study the platelets and growth factors in basal blood after centrifuging the sample by using a new closed system for obtaining platelet-rich plasma (PRP). Results: After centrifuging the blood sample, double the amount of platelets as that found in basal blood was obtained. Of the four growth factors analyzed, only the factor similar to insulin (IGF) contained the same concentration after the centrifuge process. The platelet-derived growth factor (PDGF) and the vascular growth factor (VGF) were multiplied by six with respect to the basal values and disproportionately increased the levels of the transforming growth factor ? (TGF-?). Conclusions: The new closed method for obtaining PRP, after avoiding contamination of the sample following its use, offers levels of platelet concentrate and growth factors necessary for regeneration. © Medicina Oral S. L

Traumatic endophthalmitis caused by Nocardia kruczakiae in a patient with traumatic eye injury

Background: We describe a case of traumatic ocular endophthalmitis caused by Nocardia kruczakiae after vegetable trauma in an immunocompetent child. Findings: A 5-year-old boy suffered from a trauma with a palm tree leaflet. Two months later, he was diagnosed with traumatic infectious uveitis and intumescent cataract with anterior capsule rupture. Intensive treatment with systemic and topical vancomycin, ceftazidime and methylprednisolone began. After 1 month, he underwent phacoemulsification with intraocular lens implantation (IOL). After some episodes of reactivation, he was diagnosed with traumatic nocardial endophthalmitis from aqueous humour samples. Several operations and specific antibiotic therapy resolved the infection. Conclusions: In cases of traumatic endophthalmitis and several recurrences, it is extremely useful to make an etiologic diagnosis in order to treat the patient with specific antibiotics.This research was supported by grant MPY 1446/11-TE from the Fondo de Investigaciones Sanitarias, Instituto de Salud Carlos III.S

A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time

[EN] This work presents a data-driven method to simulate, in real-time, the biomechanical behavior of the breast tissues in some image-guided interventions such as biopsies or radiotherapy dose delivery as well as to speed up multimodal registration algorithms. Ten real breasts were used for this work. Their deformation due to the displacement of two compression plates was simulated off-line using the finite element (FE) method. Three machine learning models were trained with the data from those simulations. Then, they were used to predict in real-time the deformation of the breast tissues during the compression. The models were a decision tree and two tree-based ensemble methods (extremely randomized trees and random forest). Two different experimental setups were designed to validate and study the performance of these models under different conditions. The mean 3D Euclidean distance between nodes predicted by the models and those extracted from the FE simulations was calculated to assess the performance of the models in the validation set. The experiments proved that extremely randomized trees performed better than the other two models. The mean error committed by the three models in the prediction of the nodal displacements was under 2 man, a threshold usually set for clinical applications. The time needed for breast compression prediction is sufficiently short to allow its use in real-time (< 0.2 s).This work has been funded by the Spanish Ministry of Economy and Competitiveness (MINECO) through research projects TIN2014-52033-R and DPI2013-40859-R with the support of European FEDER funds.Martínez Martínez, F.; Rupérez Moreno, MJ.; Martínez-Sober, M.; Solves Llorens, JA.; Lorente, D.; Serrano-Lopez, A.; Martinez-Sanchis, S.... (2017). A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time. Computers in Biology and Medicine. 90:116-124. https://doi.org/10.1016/j.compbiomed.2017.09.019S1161249

Genetic structure in the paternal lineages of South East Spain revealed by the analysis of 17 Y-STRs

Supplementary information accompanies this paper at https://doi.org/10.1038/s41598-019-41580-9.The content of this article is part of the Ph.D. thesis of María Saiz which was conducted at the University of Granada under the doctoral programme “Biomedicine”. The authors thank all of the participants who donated buccal swabs and all those who helped in the sample collection—namely, María Luisa Aceituno Villalva, Leticia Olga Rubio Lamia, and Verónica Delgado López. In addition, the authors want to thank Xiomara Gálvez for the technical assistance in the laboratory.The genetic data of 17 Y chromosome short tandem repeats in 146 unrelated donor residents in the provinces of Granada, Málaga, and Almería (GMA) were analyzed to determine the genetic legacy of the male inhabitants of the former Kingdom of Granada. A total of 139 unique haplotypes were identified. Observed allele frequencies and haplogroup frequencies were also analyzed. By AMOVA and STRUCTURE analysis, the populations of the 3 provinces could be treated genetically as a single population. The most frequent haplogroup was R1b1b2 (58.22%). By network analysis of all individuals, we observed a distribution according to haplogroup assignment. To improve the characterization of GMA population, it was compared with those of North Africa, the Iberian Peninsula, and southern Europe. In our analysis of allele frequencies and genetic distances, the GMA population lay within the Spanish population group. Further, in the STRUCTURE analysis, there was no African component in the GMA population, confirming that, based on our genetic markers, the GMA population does not reflect any male genetic influence of the North African people. The presence of African haplogroups in the GMA population is irrelevant when their frequency is compared with those in other European populations

Extremity tourniquet training at high seas

Background Future navy officers require unique training for emergency medical response in the isolated maritime environment. The authors issued a workshop on extremity bleeding control, using four different commercial extremity tourniquets onboard a training sail ship. The purposes were to assess participants' perceptions of this educational experience and evaluate self-application simplicity while navigating on high seas. Methods A descriptive observational study was conducted as part of a workshop issued to volunteer training officers. A post-workshop survey collected their perceptions about the workshops' content usefulness and adequacy, tourniquet safety, self-application simplicity, and device preference. Tourniquet preference was measured by frequency count while the rest of the studied variables on a one-to-ten Likert scale. Frequencies and percentages were calculated for the studied variables, and application simplicity means compared using the ANOVA test (p < 0.05). Results Fifty-one Spanish training naval officers, aged 20 or 21, perceived high sea workshop content’s usefulness, adequacy, and safety level at 8.6/10, 8.7/10, and 7.5/10, respectively. As for application simplicity, CAT and SAM-XT were rated equally with a mean of 8.5, followed by SWAT (7.9) and RATS (6.9), this one statistically different from the rest (p < 0.01). Windlass types were preferred by 94%. Conclusions The training sail ship’s extremity bleeding control workshop was perceived as useful and its content adequate by the participating midshipmen. Windlass types were regarded as easier to apply than elastic counterparts. They were also preferred by nine out of every ten participants

Impact of the learners diversity and combination method on the generation of heterogeneous classifier ensembles

Ensembles of classifiers is a proven approach in machine learning with a wide variety of research works. The main issue in ensembles of classifiers is not only the selection of the base classifiers, but also the combination of their outputs. According to the literature, it has been established that much is to be gained from combining classifiers if those classifiers are accurate and diverse. However, it is still an open issue how to define the relation between accuracy and diversity in order to define the best possible ensemble of classifiers. In this paper, we propose a novel approach to evaluate the impact of the diversity of the learners on the generation of heterogeneous ensembles. We present an exhaustive study of this approach using 27 different multiclass datasets and analysing their results in detail. In addition, to determine the performance of the different results, the presence of labelling noise is also considered.This work has been supported under projects PEAVAUTO-CM-UC3M–2020/00036/001, PID2019-104793RB-C31, and RTI2018-096036-B-C22, and by the Region of Madrid’s Excellence Program, Spain (EPUC3M17)

Aerosol optical characteristics from a summer campaign in an urban coastal Mediterranean area

The authors present a preliminary study of some optical properties of atmospheric aerosols over the area of Valencia, Spain, a coastal Mediterranean city. Measurements of spectral direct irradiance in the 300-1100 nm range were taken simultaneously at three sites: rural-continental, rural-coastal, and urban-coastal, all located within a 50 km radius of the city of Valencia. The irradiance measurements were obtained using three Li-cor 1800 spectroradiometers provided with radiance limiting tubes with field of views (FOVs) of 4.7/spl deg/. The measurements were made under clear sky conditions during a field campaign carried out in the summer of 1998. In order to avoid the uncertainties associated with the determination of the water vapor content and the other atmospheric constituents, the analysis of the spectral aerosol optical thickness (AOT) values was limited to the 400-670 mm spectral band. From the values of the spectral AOT, both the Angstrom coefficients and the aerosol size distributions were obtained. The results show the great dependence of the optical aerosol characteristic on the direction of the prevailing winds (maritime or continental) in this area

Predicción de la sensibilidad ante tolerancias de fabricación en un filtro guía-onda butterworth

En este artículo se presenta un método nuevo para la predicción de la sensibilidad en filtros Butterworth pasobanda formados por cavidades acopladas. La sensibilidad del parámetro de reflexión respecto a variaciones en los coeficientes de acoplo se calcula en el prototipo pasobajo. A partir de este valor, es posible predecir el máximo error que se producirá en el parámetro de reflexión en el peor de los escenarios posibles. Además, se propone una aplicación práctica de la relación existente entre la sensibilidad y la energía almacenada en estructuras formadas por resonadores acoplados, permitiendo predecir la sensibilidad de un filtro Butterworth en línea utilizando únicamente el retardo de grupo. El nuevo método se ha validado en un filtro Butterworth de orden 6, que ha sido diseñado a modo de ejemplo.Martínez Mendoza, M.; Gómez Díaz, JS.; Lorente, JA.; Alvarez Melcon, A. (2011). Predicción de la sensibilidad ante tolerancias de fabricación en un filtro guía-onda butterworth. 2011 IV Jornadas de Introducción a la Investigación de la UPCT. 1(4):85-87. http://hdl.handle.net/10251/33714S85871

Explaining Deep Learning-Based Driver Models

Different systems based on Artificial Intelligence (AI) techniques are currently used in relevant areas such as healthcare, cybersecurity, natural language processing, and self-driving cars. However, many of these systems are developed with &#39;black box&#8221; AI, which makes it difficult to explain how they work. For this reason, explainability and interpretability are key factors that need to be taken into consideration in the development of AI systems in critical areas. In addition, different contexts produce different explainability needs which must be met. Against this background, Explainable Artificial Intelligence (XAI) appears to be able to address and solve this situation. In the field of automated driving, XAI is particularly needed because the level of automation is constantly increasing according to the development of AI techniques. For this reason, the field of XAI in the context of automated driving is of particular interest. In this paper, we propose the use of an explainable intelligence technique in the understanding of some of the tasks involved in the development of advanced driver-assistance systems (ADAS). Since ADAS assist drivers in driving functions, it is essential to know the reason for the decisions taken. In addition, trusted AI is the cornerstone of the confidence needed in this research area. Thus, due to the complexity and the different variables that are part of the decision-making process, this paper focuses on two specific tasks in this area: the detection of emotions and the distractions of drivers. The results obtained are promising and show the capacity of the explainable artificial techniques in the different tasks of the proposed environments.This work was supported under projects PEAVAUTO-CM-UC3M, PID2019-104793RB-C31, and RTI2018-096036-B-C22, and by the Region of Madrid’s Excellence Program (EPUC3M17)

Position control of a shape memory alloy actuator using a four-term bilinear PID controller

Shape memory alloy (SMA) actuators have a number of appealing features, such as their low weight or their high force-to-weight ratio, that make them a potential alternative to traditional actuation technologies in fields such as space applications, surgical devices or wearable robotics. In this paper, a type of bilinear controller consisting of a conventional PID controller cascaded with a bilinear compensator, known as BPID, is proposed. Bilinear controllers are a subset of nonlinear controllers, which is why the BPID may be a promising alternative to control the position of a SMA actuator. Nonlinear control techniques are commonly applied to control SMA actuators, because of their nonlinear behavior caused by thermal hysteresis. The BPID controller is simpler and easier to implement than other nonlinear control strategies, which makes it a very appealing candidate to control SMA actuators. The performance of the BPID controller has been compared with other two controllers, a conventional PID and a commuted feed-forward PIPD, controlling a real SMA actuator. To this end, a set of five tests has been defined, in which the controlled actuator must follow a series of position references. From these tests, the position and error of the actuator have been plotted, and a series of metrics has been computed to have quantitative measurements of the performance of the three controllers. It is shown that, in most of the experiments, the BPID has a better performance than the other two tested controllers, especially tracking step references. However, the power consumption is slightly higher when the actuator is controlled with this strategy, although-the difference is minimal. Also, the BPID imposes greater energy variations to the SMA actuator, which might affect its service life. Overall, the BPID controller has proved to be a viable alternative to control SMA actuators.The research leading to these results has received funding from the STAMAS (Smart technology for artificial muscle applications in space) project, funded by the European Union’s Seventh Framework Programme for Research (FP7) (grant number 312815), and from the RoboHealth (DPI2013-47944-C4-3-R) Spanish research project