Alcohol, illicit drugs and medicinal drugs in fatally injured drivers in Spain between 1991and 2000

Producción CientíficaThe aim of this study was to assess the presence of alcohol, illicit drugs and medicinal drugs among Spanish drivers involved in fatal road accidents between 1991 and 2000. Samples were obtained for 5745 drivers killed in road accidents from January 1991 to December 2000. Of the samples, 91.7% represented males and 8.3% females; 40.7% were under 30 years of age, 31.9% were under 31–50 years of age, 19.5% were over 51 years of age, and for 7.9% the age was unknown. Between 1991 and 2000, some type of psychoactive substance was detected among 50.1% of those drivers killed in road accidents, this being mainly alcohol (43.8%) and, less frequently, illicit drugs (8.8%) and medicinal drugs (4.7%). In all the cases, in which alcohol was detected, combined use with other substances accounted for only 12.5%, whilst in the case of illicit and medicinal drugs, figures representing combined use with other substances were 75.6% for the former and 65.8% for the latter. For one in every three cases (32.0%), a blood alcohol level over 0.8 g/l was recorded; cocaine (5.2%), opiates (3.2%) and cannabis (2.2%) were the three illicit drugs most frequently detected. Among medicinal drugs, were benzodiazepines (3.4%), anti-depressant drugs (0.6%) and analgesics (0.4%). The results show the frequent presence of psychoactive substances, particularly alcohol, among Spanish motor vehicle users involved in fatal road accidents. It should be pointed out that illicit and medicinal drugs in combination with other substances were a common feature

Quantification of Total Phenolic and Carotenoid Content in Blackberries (Rubus Fructicosus L.) Using Near Infrared Spectroscopy (NIRS) and Multivariate Analysis

A rapid method to quantify the total phenolic content (TPC) and total carotenoid content (TCC) in blackberries using near infrared spectroscopy (NIRS) was carried out aiming to provide reductions in analysis time and cost for the food industry. A total of 106 samples were analysed using the Folin-Ciocalteu method for TPC and a method based on Ultraviolet-Visible Spectrometer for TCC. The average contents found for TPC and TCC were 24.27 mg·g−1 dw and 8.30 µg·g−1 dw, respectively. Modified partial least squares (MPLS) regression was used for obtaining the calibration models of these compounds. The RPD (ratio of the standard deviation of the reference data to the standard error of prediction (SEP)) values from external validation for both TPC and TCC were between 1.5 < RPDp < 2.5 and RER values (ratio of the range in the reference data to SEP) were 5.92 for TPC and 8.63 for TCC. These values showed that both equations were suitable for screening purposes. MPLS loading plots showed a high contribution of sugars, chlorophyll, lipids and cellulose in the modelling of prediction equations

Using CT Data to Improve the Quantitative Analysis of 18F-FBB PET Neuroimages

18F-FBB PET is a neuroimaging modality that is been increasingly used to assess brain amyloid deposits in potential patients with Alzheimer’s disease (AD). In this work, we analyze the usefulness of these data to distinguish between AD and non-AD patients. A dataset with 18F-FBB PET brain images from 94 subjects diagnosed with AD and other disorders was evaluated by means of multiple analyses based on t-test, ANOVA, Fisher Discriminant Analysis and Support Vector Machine (SVM) classification. In addition, we propose to calculate amyloid standardized uptake values (SUVs) using only gray-matter voxels, which can be estimated using Computed Tomography (CT) images. This approach allows assessing potential brain amyloid deposits along with the gray matter loss and takes advantage of the structural information provided by most of the scanners used for PET examination, which allow simultaneous PET and CT data acquisition. The results obtained in this work suggest that SUVs calculated according to the proposed method allow AD and non-AD subjects to be more accurately differentiated than using SUVs calculated with standard approaches.This work was supported by the MINECO/FEDER under the TEC2012-34306 and TEC2015-64718-R projects and the Ministry of Economy, Innovation, Science and Employment of the Junta de Andalucía under the Excellence Project P11-TIC- 7103. The work was also supported by the Vicerectorate of Research and Knowledge Transfer of the University of Granada

Efectos psicosociales de los videojuegos

Desde su aparición en los años 70, los posibles efectos psicosociales de los videojuegos, positivos o negativos, han sido objeto de una considerable polémica. La mayoría de los argumentos en uno u otro sentido se han basado más en opiniones personales y prejuicios que en los datos de investigación. En este artículo revisamos el estado de la cuestión en relación con estos argumentos, tanto negativos (adicción, agresividad, aislamiento social, rendimiento escolar, desplazamiento de otras actividades, conducta delictiva o antisocial, juego patológico, consumo de sustancias, trastornos médicos) como positivos (entrenamiento y mejora de habilidades, utilidades terapéuticas, uso como medio didáctico).The possible positive or negative psycho-social effects of the video games have been subjected to polemics since they appeared back in the 1970s. Most of the arguments in one or the other direction have been supported more in personal opinions and prejudices than in research data. This article reviews the state of the art with regards to these arguments, both negative (addiction, aggression, social isolation, school performance, displacement of other activities, criminal or antisocial behaviour, pathological gambling, use of substances, medical conditions) and positive (training and improvement of skills, therapeutic uses, use as didactic tools)

Detecting semantic violations of lock-free data structures through C++ contracts

The use of synchronization mechanisms in multithreaded applications is essential on shared-memory multi-core architectures. However, debugging parallel applications to avoid potential failures, such as data races or deadlocks, can be challenging. Race detectors are key to spot such concurrency bugs; nevertheless, if lock-free data structures are used, these may emit a significant number of false positives. In this paper, we present a framework for semantic violation detection of lock-free data structures which makes use of contracts, a novel feature of the upcoming C++20, and a customized version of the ThreadSanitizer race detector. We evaluate the detection accuracy of the framework in terms of false positives and false negatives leveraging some synthetic benchmarks which make use of the SPSC and MPMC lock-free queue structures from the Boost C++ library. Thanks to this framework, we are able to check the correct use of lock-free data structures, thus reducing the number of false positives.This work has been partially funded by the Spanish Ministry of Economy and Competitiveness through Project Grant TIN2016-79637-P (BigHPC - Towards Unification of HPC and Big Data Paradigms) and the European Commission through Grant No. 801091 (ASPIDE - Exascale programmIng models for extreme data processing)

Neuromorphic Real-Time Objects Tracking Using Address Event Representation and Silicon Retina

This paper presents a hierarchical neuromorphic system for tracking objects. We use AER (Address Event Representation) for transmitting and processing visual information provided by an asynchronous temporal contrast silicon retina. Two AER processing layers work in cascade for firstly detecting different objects, and secondly tracking them even with crossing trajectories. The output of the system offers not only the position of the tracked object but also the speed in pixels per second. The system is fully hardware implemented on FPGA (Spartan II 200), which is part of the USB-AER platform developed in part by authors. A 97.2% of the Spartan II is used for 128x128 pixels input resolution and 6 maximum objects recognition and tracking.Ministerio de Ciencia e Innovación TEC2009-10639-C04-0

Segmentation Based on the Gastronomic Motivations of Tourists: The Case of the Costa Del Sol (Spain)

Tourist destinations increasingly sustain their consolidation, promotion, and development from gastronomy. This research aims to contribute to the scientific literature analyzing the relationship between tourism and gastronomy for the specific case of the Costa del Sol (Spain) from tourists’ experiences of different nationalities who have visited the area. The methodology has been based on questionnaires applied to foreign travellers, after the gastronomic tasting of lunch or dinner in typical beach restaurants, called “chiringuitos”. Results show the existence of different segments of tourists based on their attitude towards local cuisine. Three groups have been identified, with different gastronomic predispositions and knowledge, and it is concluded that there are different levels of satisfaction and motivations in tourists, as they are identified in one segment or the other

Influence of soil pH in the effects of ZnONPs on the antioxidant activities and Zn uptake in three plant species (T aestivum, R. sativus and Z. mays)

In recent years, the study of phytotoxicity of NPs has made rapid progress, but important issues remain to be solved, among them, the role of soil and the importance of the physicochemical soil characteristics for their toxicity and accumulation potential