On the difference of time-integrated CPCP asymmetries in D0→K+K−D^0\rightarrow K^+K^- and D0→π+π−D^0\rightarrow\pi^+\pi^- decays: unparticle physics contribution

The LHCb Collaboration has recently measured the difference of time-integrated $CP$ asymmetry in $D^{0}\rightarrow K^{+}K^{-}$ and $D^{0}\rightarrow \pi^{+}\pi^{-}$ decays, more precisely. The reported value is $\Delta A_{CP}=-0.10 \pm 0.08 (\text{stat}) \pm 0.03 (\text{syst})\%$ which indicates no evidence for $CP$ violation. We consider the possible unparticle physics contribution in this quantity and by using the LCHb data try to constrain the parameter space of unparticle stuff.Comment: 7 pages, 3 figure

A Non-commutative Cryptosystem Based on Quaternion Algebras

We propose BQTRU, a non-commutative NTRU-like cryptosystem over quaternion algebras. This cryptosystem uses bivariate polynomials as the underling ring. The multiplication operation in our cryptosystem can be performed with high speed using quaternions algebras over finite rings. As a consequence, the key generation and encryption process of our cryptosystem is faster than NTRU in comparable parameters. Typically using Strassen's method, the key generation and encryption process is approximately $16/7$ times faster than NTRU for an equivalent parameter set. Moreover, the BQTRU lattice has a hybrid structure that makes inefficient standard lattice attacks on the private key. This entails a higher computational complexity for attackers providing the opportunity of having smaller key sizes. Consequently, in this sense, BQTRU is more resistant than NTRU against known attacks at an equivalent parameter set. Moreover, message protection is feasible through larger polynomials and this allows us to obtain the same security level as other NTRU-like cryptosystems but using lower dimensions.Comment: Submitted for possible publicatio

Investigating the Dynamic Security of Power System to Detect System Stability or Instability by Using Neural Network

Modern power systems are very complex due to constant variations of the load. These systems are constantly exposed to internal and external disturbances that can cause system instability. The process of determining the stability of a system under turbulence is called security assessment. In other words, the security assessment of the power system is performed to determine the stability or instability of the system. The security assessment of the power system is a combination of static and dynamic security analysis. One of the ways to determine the dynamic security is to find the critical time to fix the fault. This time is a combination of functions with many variables, so its acquisition is relatively difficult. In addition, finding and evaluating the critical time of fault correction requires detailed and timely computations. Therefore, data classification can be used as the best option for assessing the security of a power system. Data classification, sampled data and computational time reduces security assessment. In this paper, three methods are used for classifying data. These methods include: least squares (correlation), Kohonen neural network and wavelet transform. The use of these methods eliminates the problems and issues that traditional methods have. If the classification of data is correct with the methods mentioned for input patterns and the critical times to correct the existing fault, then these methods can be used to determine the critical lines of the new input patterns without performing detailed calculations of transient stability. Keywords: Power System - Neural Network - Dynamic Security - Critical Fault Time DOI: 10.7176/NCS/10-02 Publication date:July 31st 201

A Comparative Study of the Critical Thinking Skills among the Students of Accounting and Software in the Female Technical and Vocational University in the City of Borojerd

The purpose of this study is to compare the critical thinking skills among the students of accounting and software in the female technical and vocational university in the city of Borojerd. This study is a descriptive-comparative research. The statistical population of this study includes the female students of accounting and software in the technical and vocational university in the city of Borojerd. A sample of 60 students was selected from this population randomly in the 2014. The sample consists of 30 students of accounting and 30 software students. In order to collect the research data, the second form of California Critical Thinking Skills Questionnaire was used. The research data were analyzed in the SPSS16 through analysis of variance (ANOVA). The average and standard deviation of the research data is 9.15 ± 3.09. Although the scores of accounting students were better than the scores of software students, but no significant difference was not observed between them. The difference between the two groups of respondents was significant in terms of inductive reasoning (p= 0.014). Another part of our findings revealed that the scores of critical thinking skills among the accounting and software students are similar to the scores of critical thinking skills of students in other countries. Our findings revealed that the scores of critical thinking skills of accounting and software students are lower than the scores of those in other countries. These findings point to the fact that the educational plans of this university need some reviews and modifications. Keywords: Critical thinking, Accounting Students, Software Students, Skil

Comparison of ultrasonic assist head space solid-phase microextraction and classic hydrodistillation methods for the identification of essential oil in fruits and leaves of Pistacia atlantica

Pistacia atlantica Desf. is one of the three species growing in Iran. The essential oil compounds from aerial (fruits and leaves) of P. atlantica were obtained by hydrodistillation (HD) and analyzed using GC-MS. The results of two different methods, hydrodistillation and ultrasonic assist headspace solid-phase microextraction (UA-HS-SPME) were compared. The GC-MS analysis identified 40 and 36 components of essential oils in fruits and leaves extracted using HD, respectively. The oil contained a high concentration of monoterpenes, and the main constituents were Germacrene D (9.29 %), Myrcene (9.3 %) in fruits and Myrcene (8.91 %), Germacrene D (7.89 %) in leaves. A total of 43 components were identified by UA-HS-SPME technique in both the fruits and leaves where the major components in fruits were Germacrene D (12.06 %), Myrcene (12.01 %). The volatile components, such as Germacrene D (10.53 %), Myrcene (10.18 %) were found to be major volatile constituents in leaves. UA-HS-SPME analysis showed more type and concentration of different compounds in the studied plant. For example, Germacrene D, Myrcene, Terpinen-4-ol compounds were well represented in the aerial parts (fruits and leaves). Moreover, HS-SPME allowed the occurrence of α-Cubebene, α-Ylangene and α-Farnesene as the main component in P. atlantica fruits and the leaves, but it was not detected in the HD method. Compared to the conventional technique, HD and UA-HS-SPME method were established short extraction time and high extraction efficiency