Electromagnetic imaging of penetrable configurations by means of a GA/CG method

The genetic algorithm is an important tool in image formation and processing. In the present paper, the genetic algorithm is used in conjunction with a conjugate gradient method as a tool for electromagnetic imaging of dielectric targets. The genetic algorithm is in principle able to reach the global minimum of the “fitness function” resulting from the fitting of the exact measured data with the field-scattered data corresponding to the parameters of the current “image” of the object under test. The conjugate gradient is used to enhance the convergence of the iterative method near the solution. In the following, the formulation of the new approach is described and a numerical assessment about robustness and effectiveness of the method is presented.     

Effect of phosphatidylcholine structure on the adenylate cyclase activity of a murine fibroblast cell line

To determine which structural characteristics of membrane phospholipids influence adenylate cyclase activity, we measured basal and sodium fluoride- or forskolin-stimulated activity in a murine fibroblast cell line,i.e., Balb/c3T3 cells grown in media supplemented with fetal calf serum (FCS), lipid-depleted FCS (LD-FCS) or LD-FCS complexed with different phosphatidylcholine (PC) molecular species. Cells grown in the presence of LD-FCS showed a substantial decrease in their basal and NaF-stimulated adenylate cyclase activities; however, their forskolin-stimulated activity was not altered, suggesting that the enzyme's catalytic site is not affected by changes in membrane lipids. Media supplemented with different LD-FCS/PC complexes were shown to prevent the LD-FCS-mediated reduction of basal and NaF-stimulated adenylate cyclase activity to different extents. Addition ofcis-9-16∶1/cis-9-16∶1,cis-9-18∶1/cis-9-18∶1 orcis-9-18∶1/cis-9,12-18∶2sn-glycerophosphocholine (GPC) completely restored adenylate cyclase activity, whilecis-11-18∶1/cis-11-18∶1 GPC was not effective and only a partial recovery was observed with 16∶0/16∶0, 16∶0/cis-9-18∶1 andtrans-9-18∶1 GPC. Considering the structural features of these seven PC molecular species, the findings suggest that an optimal lipid environment is conferred to the enzyme by the presence of thecis double bonds, each located in Δ9 position of the PC acyl chains. The limited effect ofcis-9-16∶1/cis-9-18∶1 GPC andcis-9-18∶1/cis-9-16∶1 GPC suggests that an equal length of the terminal hydrocarbon chains extending bevond the Δ9 double bonds is also important. Moreover, complete restoration of adenylate cyclase activity in cells exposed to 16∶0/cis-9,12-18∶2 GPC suggests that twocis-9,12 double bonds located on the same chain are as effective as twocis-9 double bonds each located on two different chains of PC. As the four double bonds of 16∶0/cis-5,8,11,14-20∶4 GPC had no effect, a mere increase in the number of double bonds seems insufficient to build an optimal lipid microenvironment for the enzyme.     

Tripartite structure of positive and negative affect, depression, and anxiety in child and adolescent psychiatric inpatients.

The tripartite model of depression and anxiety suggests that depression and anxiety have shared (generalized negative affect) and specific (anhedonia and physiological hyperarousal) components. In one of the 1st studies to examine the structure of mood-related symptoms in youngsters, this model was tested among 116 child and adolescent psychiatric inpatients, ages 8–16 (M?=?12.46; SD?=?2.33). Consistent with the tripartite model, a 3-factor (Depression, Anxiety, and Negative Affect) model represented the observed data well. Follow-up analyses suggested that a nonhierarchical arrangement of the 3 factors may be preferable to a hierarchical one. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Functional expansions for nonlinear discrete-time systems

Given an input-output map associated with a nonlinear discrete-time state equationx(t + 1) =f(x(t);u(t)) and a nonlinear outputy(t) =h(x(t)), we present a method for obtaining a “discrete Volterra series” representation of the outputy(t) in terms of the controlsu(0), ...,u(t − 1). The proof is based on Taylor-type expansions of the iterated composition of analytic functions. It allows us to make an explicit construction of each kernel, that is, each coefficient of the series expansion ofy(t) in powers of the controls. This is achieved by making use of successive directional derivatives associated with a family of vector fields which are deduced from the discrete state equations. We discuss the use of these vector fields for the analysis and control of nonlinear discrete-time systems. This work was carried out while D. Normand-Cyrot was working at the I.A.S.I. (from March to October 1984) and with the financial support of the Italian C.N.R. (Consiglio Nazionale delle Ricerche).     

Expectancies for negative mood regulation, coping, and dysphoria among college students.

Participants (N?=?222) completed measures of negative mood regulation (NMR) expectancies, negative life events, coping responses, dysphoria, and somatic symptoms. After 6 to 8 wks, they completed the same questionnaires except that daily hassles in the previous month were assessed instead of negative life events. In cross-sectional analyses and with stable variance in coping and symptoms controlled, NMR expectancies were positively related to active coping and negatively related to avoidant coping and symptoms. Changes in NMR expectancies and dysphoria were correlated. Time 1 dysphoria was positively related to daily hassles at Time 2, which in turn was associated with changes in coping and dysphoria from Time 1 to Time 2. Implications for counseling and stress-management interventions are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Continuous dependence theorems in linear elasticity on exterior domains

By using the weight function approach, we prove some continuous dependence theorems for solutions to the equations of linear elasticity in an exterior domain in $\text{R}$³. Among other things, these theorems allow the elasticities to be unbounded as well as the density to be infinitesimal at large spatial distance from the boundary.     

Investigation of hafnium-aluminate alloys in view of integration as interpoly dielectrics of future Flash memories

In this paper, we evaluate the potentialities of hafnium-aluminates (HfAlO) materials as possible candidates for the interpoly dielectrics of future Flash memory devices. HfAlO layers of different thicknesses and compositions are integrated in single-layers and in Oxide/HfAlO/Oxide (OHO) triple-layer stacks, and analyzed in terms of coupling and insulating capabilities. We demonstrate that increasing the Hf content allows reducing the leakage current at high voltages but it results in a stronger leakage current at low voltages. We also show that once normalized in electric fields, the leakage current characteristics are independent of the high-k thickness. The electron conduction modes in these materials, at different temperatures, are also investigated. The activation energy increases with the Hf concentration in the HfAlO alloy, resulting in a higher leakage current at elevated temperatures. Finally, it is demonstrated that the conduction in triple-layer stacks is limited by a Poole–Frenkel conduction in the high-k layers, while the trap contribution in the case of single-layers becomes dominant when the HfAlO layer is thicker than 8 nm.     

A New Parallel Differential Method for Optical Flow Estimation

Optical flow estimation is a recurrent problem in several disciplines and assumes a primary importance in a number of applicative fields such as medical imaging [12], computer vision [6], productive process control [4], etc. In this paper, a differential method for optical flow evaluation is being presented. It employs a new error formulation that ensures a more than satisfactory image reconstruction in those points which are free of motion discontinuity. A dynamic scheme of brightness-sample processing has been used to regularise the motion field. A technique based on the concurrent processing of sequences with multiple pairs of images has also been developed for improving detection and resolution of mobile objects on the scene, if they exist. This approach permits to detect motions ranging from a fraction of a pixel to a few pixels per frame. Good results, even on noisy sequences and without the need of a filtering pre-processing stage, can be achieved. The intrinsic method structure can be exploited for favourable implementation on multi-processor systems with a scalable degree of parallelism. Several sequences, some with noise and presenting various types of motions, have been used for evaluating the performances and the effectiveness of the method. Carmelo Lodato received his Dr. Ing. Degree in Civil Engineering from the University of Palermo, Italy, in 1987. He is Researcher at the High Performance Computing and Networking Institute (ICAR) of the Italian National Research Council (CNR). His current research interests include computer vision, image processing, motion analysis, optimization and stochastic algorithms. Salvatore Lopes received his Dr. Ing. Degree (summa com laude) in Nuclear Engineering from the University of Palermo, Italy, in 1988. He is Researcher at the High Performance Computing and Networking Institute (ICAR) of the Italian National Research Council (CNR). His current research interests include computer vision, image processing, motion analysis, optimization and stochastic algorithms.