Facies Modelling of Mishrif Formation in Selected Wells of Tuba Oil Field, Southern Iraq

The current study includes building a 3D geological facies model of the Mishrif Formation (Cenomanian-Early Turonian) in Tuba oilfield, southern Iraq. Microfacies study and core samples examination reveals the occurrence of six facies associations within Mishrif succession represented by; Basin, deep marine, rudist biostrome, shoal, back- shoal, and lagoon. Each reservoir unit is characterized by distinct facies distribution that controls their quality. High reservoir quality is predominantly developed in rudistid facies that are productive from units MB1 and MB2. The 3D facies model shows that these units have greater continuity and thickness along Tuba anticline and control the structural and stratigraphic trapping. Units MA and Mishrif have lower reservoir quality due to the dominance of mud-dominated facies. The unit CR2 consists of non-reservoir facies, and can be captured along the oilfield structure

Comparing unsupervised layers in neural networks for financial time series prediction

In this study, we propose and compare neural network models that use unsupervised layers for the prediction of financial time series. We compare the novel FL-RBM and FL-SMIA-RMB models that integrate a Restricted Boltzmann Machine (RBM) and the self-organizing layer of the Selforganized Multi-Layer Network using the Immune Algorithm (SMIA) with the FL-SMIA network and a standard MLP. We aim to investigate the performance of unsupervised learning in comparison to purely supervised and other mixed models. The FL-RBM model combines the products of raw input features (the Functional Link, FL), with the Restricted Boltzmann Machine RBM as a self-organizing first hidden layer, while the FL-SMIA model uses the Immune Algorithm on the first layer. The FLSMIA- RBM model, combines both self-organizing layers with a back-propagation network. The results show that the FL-SMIA model outperforms the FL-RBM, the FL-SMIA-RBM and the MLP as measured by Annualized Return (AR) in one-day-ahead prediction on exchange rates time series. In terms of volatility, the FL-SMIA and MLP perform similarly

The FL-SMIA Network: A Novel Architecture for Time Series Prediction

In this paper we propose the FL-SMIA model, a novel neural network model that combines the principles of the Functional Link Neural Network (FLNN) with the Self-organizing Multilayer Neural Network using the Immune Algorithm (SMIA). We describe the FL-SMIA architecture and operation and evaluate its predictive performance on different financial time series in comparison to other neural network models. The FL-SMIA model combines the higher-order inputs of the tensor-product FLNN, i.e. the products of raw input features, with the self-organizing hidden layer of SMIA that dynamically grows and adapts to the input vectors. The FL-SMIA has two advantages over other models. First, it can dynamically adapt to growing amounts of data with a model that grows increasingly complex. Second, it keeps an explicit representation of the patterns it recognises in the data. Experimental results show that the FL-SMIA improves performance, as measured by annualised return in five-days-ahead and one-day-ahead prediction tasks for share prices and exchange rates, over the SMIA networks alone and over standard multilayer perceptrons. It performs on the same level as the FLNN, sometimes better but not significantly so. The result that FLNN and FL-SMIA outperform other multilayer models indicates that particularly the higher-order features contribute to the improved performance and motivate further research into mixed neural network architectures for financial time series prediction

Modélisation jusqu'à 45 GHz des couplages entre microvias et cavités en technologie PCB multicouches quelles que soient les frontières

National audienceNous développons ici une modélisation simple du couplage entre les microvias et les cavités créées par les plans métalliques au sein des PCB multicouches. Ce modèle, basé sur la notion d'impédance des plans parallèles permet la prise en compte de frontières des cavités de natures différentes, ouvertes ou réalisées à l'aide de trous métallisés. Le modèle circuit est validé par comparaison avec des simulations électromagnétiques dans la bande 0-45 GHz et cela pour différents cas de figure des frontières de la cavité, en circuit ouvert ou court-circuit réalisé à l'aide de trous perforants métallisés. 1. Introduction Les technologies multicouches telles que le LTCC ou bien encore les PCB multicouches permettent une réduction des dimensions des circuits en utilisant la 3 ième dimension pour réduire les distances. Pour accéder à cette 3 ième dimension il est nécessaire d'utiliser des vias ou des microvias permettant de relier les différentes couches métalliques entre elles. Ces vias et microvias, traversant plusieurs couches métalliques, entraînent des couplages avec les cavités qu'ils traversent ce qui se traduit par des dégradations des signaux[1][2]. Afin de prévoir et de limiter ces effets, il est nécessaire d'avoir une méthode analytique rendant compte rapidement de ces phénomènes de couplage. Nous présentons dans cette communication une méthode basée sur la détermination des modes de cavités [2] tenant compte des frontières des cavités créées par les différents plans métalliques. Ces cavités peuvent être ouvertes ou fermées à l'aide de trous métallisés, les frontières pouvant être de natures différentes suivant le bord de la cavité considéré. L'approche circuit que nous proposons est validée à l'aide de simulations électromagnétiques et de mesures jusqu'à 45 GHz. 2. Modélisation du couplage

Расстройства сексуального здоровья при воспалительных заболеваниях внутренних гениталий у женщин

При обследовании гинекологических больных выявлены развивающиеся у них разные варианты и формы сексуальной дезадаптации супружеской пары. Показаны их причины, механизмы формирования и клинические проявления.The investigation of gynecological patients revealed development of different variants and forms of sexual dysadaptation of the married couple. Their causes, formation mechanisms and clinical manifestations are shown

Antibacterial Activity of Calcium Hydroxide Combined with Chlrohexidine or Sodium Hypochlorite against Gram Positive and Gram Negative Bacteria

The most significant current goal in endodontology is the maximum reduction of the microorganisms because they play a fundamental role in the etiology of pulpo-periapical pathosis and may escape from tooth and circulate throughout the body to cause an infection in distant part. Numerous materials have been used to achieve this goal. Calcium hydroxide [Ca(OH)2]with its unique properties, need to be mixed with other agents to fulfill its antimicrobial requirement. However, to the best of authors knowledge , no report has been found so far investigates the antimicrobial efficacy of Calcium hydroxide / chlorhexidine [CHX ]combination  against  klebsiella spp..The aim of this study is to evaluation of the effect of adding CHX or sodium hypochlorite[NaOCl] on the antibacterial activity of Ca(OH)2 against gram positive and gram negative bacteria. The tested samples were grouped into 5 groups of 20 samples for each group: G1:Ca(OH)2  mixed with H2O. G2:2% CHX solution. G3: 2.5% NaOCl solution. G4: combination of Ca(OH)2   and 2% CHX. G5:combination of Ca(OH)2  and  2.5% NaOCl. 10 samples from each group had been inoculated with streptococcus spp. and the other 10 had been inoculated with klebsiella spp. Microbial growth was verified and number of plates which show growth or no growth for bacteria were counted and analyzed statistically. As a result Ca(OH)2  and 2.5% NaOCl had antibacterial effect on both tested bacteria while 2% CHX appeared to be less effective . Pastes of Ca(OH)2   and 2% CHX were effective on klebsiella spp., while mixing of Ca(OH)2 with 2.5% NaOCl had significant effect on both types of bacteria and it was more effective against streptococcus spp. Key words: Calcium hydroxide, Chlorhexidine, Sodium hypochlorite, klebsiella, Streptococcus

Metastable magnetic domain wall dynamics

The dynamics of metastable magnetic domain walls in straight ferromagnetic nanowires under spin waves, external magnetic fields, and current induced spin transfer torque are studied by micromagnetic simulations. It is found that in contrast to a stable wall, it is possible to displace a metastable domain wall in the absence of any external excitation. In addition, independent of the domain wall excitation method, the velocity of a metastable wall is much smaller than a stable wall and their displacement direction could be different from the stable wall depending on the structure of metastable walls. Under the current induced spin transfer torque excitation, the direction of domain wall displacement is directly related to the intensity of nonadiabatic spin transfer torque. In a rough nanowire, it is found that the displacement of a metastable wall could happen much below the critical excitation of a stable wall. Furthermore, we show that it is possible to have either a forward or backward displacement of a metastable domain wall by changing the pulse width of the excitation.Comment: 20 pages, 8 Figure

Polycyclic Aromatic Hydrocarbons (PAHs) in the Surface Sediments of Shatt Al-Arab River, Basrah City, Southern Iraq

Sediment samples collected from nine sampling sites along the Shatt Al-Arab River, Basrah City, Iraq were analyzed by gas chromatography-flame ionization detector in order to determine the degree and sources of PAHs contamination. The total organic carbon (TOC) content and grain size of sediments were also analyzed. The Shatt Al-Arab River sediments content of PAHs were relatively moderate compared to other  world-wide locations contaminated by oil. The total concentrations of PAHs ranged from 30.86 ng/g dry weight in the IX site to 87.79 ng/g dry weight in the VI site with highest content of PAHs were found in the Shatt Al-Arab River sediments near potential oil pollution sources, close to sites II, IV, VI, and VIII. The % TOC was varied from 0.32 to 1.64 %. The concentrations of PAHs in the Shatt Al-Arab River sediments appeared to be related to % TOC or grain size. The selected marked PAHs, the PAHs compounds ratios and the principal component analysis (PCA) suggest that the PAHs have originated from at least three different sources: (1) Pyrolytic-from different combustion processes, (2) petrogenic-from inputs petroleum and petroleum products, and (3) biogenic-from situ organisms. The potential ecosystem risk assessment indicated that PAHs will not cause immediate adverse biological effects in the Shatt Al-Arab River. Keywords: PAH compounds, Sediments, Shatt Al-Arab River, TOC, Basrah.