As staring focal plane array (FPA) detectors continue to mature, FPA based IR imaging systems are available in more compact packages that are lighter and consume less power than first or second generation scanning IR sensor packages. However, standard IR analysis models indicate that staring FPA based cameras, while having excellent sensitivity, will have reduced resolution when compared to sca...

The subject of the study is identification by tax authorities dependence jurisdiction location parent companies Russian organizations on amount additional charges for corporate income withheld at source in Russia, while controlling actual right to (FPA) a foreign organization. purpose work develop proposals risk management determining FPA. article, conjunction with analysis dynamics direct inve...

Early diagnosis of autism is extremely beneficial for patients. Traditional approaches have been unable to diagnose in a fast and accurate way; rather, there are multiple factors that can be related identifying the disorder. The gene expression (GE) individuals may one these factors, addition personal behavioral characteristics (PBC). Machine learning (ML) based on PBC GE data analytics emphasi...

We read with interest the article by Duszańska et al. [1] entitled ‘Predictors of successful iatrogenic pseudoaneurysm compression dressing repair’ recently published in the journal. The authors suggested that compression dressing repair (CPR) might serve as an alternative method of femoral pseudoaneurysm (FPA) management in patients with low forward and reverse velocities of the flow in pseudo...

The increase of array size and decrease of cell size make the testing of infrared focal plane array (FPA) being difficult. A design for test scheme, cross-check test, for infrared focal plane array (FPA) is presented in this paper. For an array size of M by N, the testing times can be reduced from the order of M*N to M+N. Analysis on the fault detectability of the proposed test scheme is also p...

The nonstationary loss queue is of great interest since the arrival rate in most communication systems varies over time. In view of the difficulty in solving the nonstationary loss queue, various approximation methods have been developed. In this paper, we review several of these approximation methods and present a new technique, the fixed point approximation (FPA) method. Numerical evidence po...

Feature Pattern Analysis (FPA), as a part of the theory of data (Coombs, 1964), can be interpreted as a formal model of some procedures frequently applied in the behavioral and social sciences, e.g., for Guttman scaling, Parallelogram Analysis, Likert scaling, the Semantic Differential, and the Kelly Grid. FPA may also be used as a scaling procedure for nominal and ordinal data with qualitative...

The conditioning model of binge eating states that cues such as the sight, smell and taste of binge food prepare the binger's body for the intake of large amounts of food. The bodily preparations are supposed to be felt as an almost irresistible urge to binge. In the present study, the validity of the model was tested. Clinical binge eaters (bulimia nervosa patients) and healthy control partici...

Fibrinopeptide A (FpA) concentrations in plasma and in 24 hr urine specimens as well as beta-thromboglobulin (BTG) in plasma were measured in 17 patients with severe angina pectoris, including both stable and unstable angina, and in 19 patients with acute myocardial infarction. Patients with unstable angina had plasma FpA and BTG levels of 5.2 +/- 1.7 ng/ml and 91 +/- 23 ng/ml, respectively. Th...

Data clustering is a technique for clustering set of objects into known number of groups. Several approaches are widely applied to data clustering so that objects within the clusters are similar and objects in different clusters are far away from each other. K-Means, is one of the familiar center based clustering algorithms since implementation is very easy and fast convergence. However, K-Mean...