The mixing-induced CP asymmetries in B → K∗γ → KSπ0γ and B → K∗γ → KLπ0γ are expected to be small within the standard model. So they are among the most promising decay modes to test the standard model. In this paper, we compute the mixing-induced CP asymmetries in these decay modes, within the framework of the standard model, using perturbative QCD, and our conclusion is SKSπ0γ = −SKLπ0γ = −(3....

The mixing-induced CP asymmetries in B → K∗γ → KSπ0γ and B → K∗γ → KLπ0γ are expected to be small within the standard model. So they are among the most promising decay modes to test the standard model. In this paper, we compute the mixing-induced CP asymmetries in these decay modes, within the framework of the standard model, using perturbative QCD, and our conclusion is SKSπ0γ = −SKLπ0γ = −(4....

Recently, active research has been conducted on Korean grammatical error correction machine translation (MT) and automatic noise generation. However, there is no gold-standard test set for objective official comparative analysis. A significant limitation measuring the ill-defined performance because experimental types in train are also included set. Moreover, training Additionally, of errors qu...

In this work novel-efficient implementations to convert a two’s complement binary number into its canonic signed digit (CSD) representation are presented. In these CSD recoding circuits two signals, H and K, functionally equivalent to two carries are described. They are computed in parallel reducing the critical path and they possess some properties that lead to a simplification of the algebrai...

A challenging problem of computer vision is scene classification. An efficient method for classifying natural scenes from the Oliva – Torralba dataset is proposed. The method is based on K-Means clustering algorithm followed by a novel two phase voting method for classification which is the main contribution of this paper. Two distinct feature sets have been used. The first feature set is used ...

BACKGROUND For antithrombotic treatments, Patient Reported Outcomes (PRO) and patient satisfaction with treatment are essential data for physicians because of the strong relationship between patient satisfaction and adherence to treatment. The impact of rivaroxaban on patient satisfaction and quality of life was not sufficiently documented in phase III studies. There is a need for further data ...

This proposed system has used the K-means clustering technique for the segmentation purpose and the Back Propagation Neural Network (BPNN) technique for the classification of the mango leaf disease. This system has been tested with the different numbers of test data set collected from different regions. The system is tested for different numbers of clusters to get the optimal number of cluster ...

A challenging problem of computer vision is scene classification. An efficient method for classifying natural scenes from the Oliva – Torralba dataset is proposed. The method is based on K-Means clustering algorithm followed by a novel two phase voting method for classification which is the main contribution of this paper. Two distinct feature sets have been used. The first feature set is used ...

STUDY OBJECTIVES To determine the effect of daily low-dose oral vitamin K supplementation on reducing variations in the international normalized ratios (INRs) in patients taking warfarin. DESIGN Retrospective analysis. SETTING Anticoagulation clinic in a large, private-practice hematology group. PATIENTS Eight motivated patients (three men, five women), aged 45-79 years, receiving anticoa...