Unexpected Variation of the Codeine/Morphine Ratio Following Fatal Heroin Overdose

Postmortem samples from 14 cases of suspected heroin overdose were subjected to a preliminary systematic toxicological analysis in order to highlight the presence of unknown exogenous compounds (e.g., drugs of abuse, alcohol) that may have played a role in the mechanism of death. This analysis unveiled histories of poly-drug use in seven of the cases under investigation. Moreover, the concentrations of morphine and codeine in the brain were also investigated, and the results were compared with the data obtained from the blood specimens. The concentration of morphine in blood ranged from 33 to 688 ng/mL, while the concentration of codeine ranged from 0 to 193 ng/mL. However, in the brain, the concentration of morphine was found to be between 85 and 396 ng/g, while the levels of codeine ranged from 11 to 160 ng/g. The codeine/morphine ratio in the blood ranged from 0.043 to 0.619; however, in the brain, the same ratio was found to be between 0.129 and 0.552. In most cases, a significantly higher codeine/morphine ratio was found in the brain, suggesting the accumulation of codeine in brain tissue due its high lipophilicity as compared with morphine

Improve the Capacities of Zimbabwe for the Control of animal and zoonotic diseases

The main objective of the CAZCOM project is to build Zimbabwe's capacity to improve the surveillance and control of important animal and zoonotic diseases. Environmental changes related to climate change have a major impact on the epidemiology and emergence of vector-borne and non-vector-borne diseases in humans, domestic animals and wildlife. The human, societal, environmental and economic costs associated with changes in the dynamics of infectious diseases are considerable. Zimbabwe, a country located in the subtropical area, will have to face many human and veterinary sanitary challenges in connection with these global changes. Currently, the lack of resources, skilled personnel, and advanced biotechnology infrastructures does not allow the country to put in place an adequate disease surveillance and health response. The CAZCOM project, through its training activities, the establishment of a laboratory with international standards, the development of research projects and the setting-up of effective surveillance and control systems for infectious diseases aims to increase Zimbabwe's autonomy for the control of animal diseases, within the frame of its national livestock breeding strategy. CAZCOM will (1) develop molecular biology technical capacities by creating a molecular platform, training technical staff and establishing technical private/public partnerships, (2) provide training through the development of technical trainings and master modules, the revision of master curricula and the supervision of master students, (3) enhance efficiency and autonomy of animal and zoonotic disease surveillance systems through the set-up of sampling protocols to characterize disease circulation and inter-species transmission modes a at the Human - Wildlife – Livestock interfaces, the development of diagnostic tools and the identification of new surveillance strategies. The success of this project is based on existing collaborations between CIRAD, IRD and their local and international partners developed over the past years through the "Partnership Production and Conservation Research Platform" (RP-PCP). The RP-PCP has established links with Zimbabwe's leading universities as well as with key departments of the Ministry of Agriculture and the Environment. This network enables the RP-PCP and all its partners to create joint research projects and benefit from a regional research dynamic

Trends in Metal Oxide Stability for Nanorods, Nanotubes, and Surfaces

The formation energies of nanostructures play an important role in determining their properties, including the catalytic activity. For the case of 15 different rutile and 8 different perovskite metal oxides, we find that the density functional theory (DFT) calculated formation energies of (2,2) nanorods, (3,3) nanotubes, and the (110) and (100) surfaces may be described semi-quantitatively by the fraction of metal--oxygen bonds broken and the bonding band centers in the bulk metal oxide

Description of diffusive and propagative behavior on fractals

The known properties of diffusion on fractals are reviewed in order to give a general outlook of these dynamic processes. After that, we propose a description developed in the context of the intrinsic metric of fractals, which leads us to a differential equation able to describe diffusion in real fractals in the asymptotic regime. We show that our approach has a stronger physical justification than previous works on this field. The most important result we present is the introduction of a dependence on time and space for the conductivity in fractals, which is deduced by scaling arguments and supported by computer simulations. Finally, the diffusion equation is used to introduce the possibility of reaction-diffusion processes on fractals and analyze their properties. Specifically, an analytic expression for the speed of the corresponding travelling fronts, which can be of great interest for application purposes, is derived

Minimizing conservativity violations in ontology alignments: algorithms and evaluation

In order to enable interoperability between ontology-based systems, ontology matching techniques have been proposed. However, when the generated mappings lead to undesired logical consequences, their usefulness may be diminished. In this paper, we present an approach to detect and minimize the violations of the so-called conservativity principle where novel subsumption entailments between named concepts in one of the input ontologies are considered as unwanted. The practical applicability of the proposed approach is experimentally demonstrated on the datasets from the Ontology Alignment Evaluation Initiative

Metagenomic analysis through the extended Burrows-Wheeler transform

Background: The development of Next Generation Sequencing (NGS) has had a major impact on the study of genetic sequences. Among problems that researchers in the field have to face, one of the most challenging is the taxonomic classification of metagenomic reads, i.e., identifying the microorganisms that are present in a sample collected directly from the environment. The analysis of environmental samples (metagenomes) are particularly important to figure out the microbial composition of different ecosystems and it is used in a wide variety of fields: for instance, metagenomic studies in agriculture can help understanding the interactions between plants and microbes, or in ecology, they can provide valuable insights into the functions of environmental communities. Results: In this paper, we describe a new lightweight alignment-free and assembly-free framework for metagenomic classification that compares each unknown sequence in the sample to a collection of known genomes. We take advantage of the combinatorial properties of an extension of the Burrows-Wheeler transform, and we sequentially scan the required data structures, so that we can analyze unknown sequences of large collections using little internal memory. The tool LiME (Lightweight Metagenomics via eBWT) is available at https://github.com/veronicaguerrini/LiME. Conclusions: In order to assess the reliability of our approach, we run several experiments on NGS data from two simulated metagenomes among those provided in benchmarking analysis and on a real metagenome from the Human Microbiome Project. The experiment results on the simulated data show that LiME is competitive with the widely used taxonomic classifiers. It achieves high levels of precision and specificity - e.g. 99.9% of the positive control reads are correctly assigned and the percentage of classified reads of the negative control is less than 0.01% - while keeping a high sensitivity. On the real metagenome, we show that LiME is able to deliver classification results comparable to that of MagicBlast. Overall, the experiments confirm the effectiveness of our method and its high accuracy even in negative control samples

Mutations in TUBG1, DYNC1H1, KIF5C and KIF2A cause malformations of cortical development and microcephaly

The genetic causes of malformations of cortical development (MCD) remain largely unknown. Here we report the discovery of multiple pathogenic missense mutations in TUBG1, DYNC1H1 and KIF2A, as well as a single germline mosaic mutation in KIF5C, in subjects with MCD. We found a frequent recurrence of mutations in DYNC1H1, implying that this gene is a major locus for unexplained MCD. We further show that the mutations in KIF5C, KIF2A and DYNC1H1 affect ATP hydrolysis, productive protein folding and microtubule binding, respectively. In addition, we show that suppression of mouse Tubg1 expression in vivo interferes with proper neuronal migration, whereas expression of altered gamma-tubulin proteins in Saccharomyces cerevisiae disrupts normal microtubule behavior. Our data reinforce the importance of centrosomal and microtubule-related proteins in cortical development and strongly suggest that microtubule-dependent mitotic and postmitotic processes are major contributors to the pathogenesis of MCD

Atomically dispersed Pt-N-4 sites as efficient and selective electrocatalysts for the chlorine evolution reaction

Chlorine evolution reaction (CER) is a critical anode reaction in chlor-alkali electrolysis. Although precious metal-based mixed metal oxides (MMOs) have been widely used as CER catalysts, they suffer from the concomitant generation of oxygen during the CER. Herein, we demonstrate that atomically dispersed Pt-N-4 sites doped on a carbon nanotube (Pt-1/CNT) can catalyse the CER with excellent activity and selectivity. The Pt-1/CNT catalyst shows superior CER activity to a Pt nanoparticle-based catalyst and a commercial Ru/Ir-based MMO catalyst. Notably, Pt-1/CNT exhibits near 100% CER selectivity even in acidic media, with low Cl- concentrations (0.1M), as well as in neutral media, whereas the MMO catalyst shows substantially lower CER selectivity. In situ electrochemical X-ray absorption spectroscopy reveals the direct adsorption of Cl- on Pt-N-4 sites during the CER. Density functional theory calculations suggest the PtN4C12 site as the most plausible active site structure for the CER

Technician components and requirements model for the formation and management of cooperation networks among civil construction companies

A indústria da Construção Civil possui um modo de operação semelhante ao das organizações virtuais, mas de forma não estruturada, deixando de proporcionar vantagens competitivas. Para tanto, o artigo propõe um Modelo de Requisitos e Componentes Técnicos, baseado na metodologia EKD (Enterprise Knwoledge Development), para auxiliar a formação e gerência de redes entre empresas da construção civil. Para a elaboração do modelo proposto, foi conduzida uma análise dos projetos internacionais mais relevantes no setor da construção além de estudo de casos contendo sete obras a fim de detectar seus objetivos e pontos falhos a serem reestruturados e adaptados para a indústria da construção civil brasileira. Não obstante, o modelo proposto baseou-se em uma adaptação das melhores práticas de uma arquitetura de referência para redes. Como resultado, a proposição viabiliza uma visão clara dos requisitos necessários, explora a necessidade de intensa comunicação e troca de informações, além de contribuir com pesquisas futuras no que tange a um futuro desenvolvimento de sistema de informação direcionado para este segmento econômico.The operational method of civil construction can be analyzed by the outlook of virtual organizations, however not yet structuralized, hence not providing competitive advantages. Thus, this article considers a Technical Components and Requirements Model, based on EKD methodology (Enterprise Knowledge Development), to assist in the formation and management of networks in civil construction companies. For the elaboration of the considered model, an analysis of the most important international construction projects was conducted, in addition to a case study from seven construction projects in order to detect their goals and defective points, to then be reorganized and adapted to the Brazilian civil construction industry. Moreover, the considered model was also based on an adaptation of reference architecture for civil construction networks. As a result, the proposal makes possible, to the stakeholders, a clear view of the necessary requirements, exploring the necessity of intense communication and exchange of information, besides contributing to future research works regarding a future development of an information system directed for this economic segment

COST292 experimental framework for TRECVID 2008

In this paper, we give an overview of the four tasks submitted to TRECVID 2008 by COST292. The high-level feature extraction framework comprises four systems. The first system transforms a set of low-level descriptors into the semantic space using Latent Semantic Analysis and utilises neural networks for feature detection. The second system uses a multi-modal classifier based on SVMs and several descriptors. The third system uses three image classifiers based on ant colony optimisation, particle swarm optimisation and a multi-objective learning algorithm. The fourth system uses a Gaussian model for singing detection and a person detection algorithm. The search task is based on an interactive retrieval application combining retrieval functionalities in various modalities with a user interface supporting automatic and interactive search over all queries submitted. The rushes task submission is based on a spectral clustering approach for removing similar scenes based on eigenvalues of frame similarity matrix and and a redundancy removal strategy which depends on semantic features extraction such as camera motion and faces. Finally, the submission to the copy detection task is conducted by two different systems. The first system consists of a video module and an audio module. The second system is based on mid-level features that are related to the temporal structure of videos