background: evaluating the landmarks for rotation of the distal femur is a challenge for orthopedic surgeons. although the posterior femoral condyle axis is a good landmark for surgeons, the surgical transepicondylar axis may be a better option with the help of preoperative ct scanning. the purpose of this study was to ascertain relationships among the axes’ guiding distal femur rotational alig...

Linear diffusion layer is an important part of lightweight block ciphers and hash functions. This paper presents an efficient class of lightweight 4x4 MDS matrices such that the implementation cost of them and their corresponding inverses are equal. The main target of the paper is hardware oriented cryptographic primitives and the implementation cost is measured in terms of the required number ...

In this short article we propose a full large $N$ asymptotic expansion of the probability that $m^{\text{th}}$ power random unitary matrix size has all its eigenvalues in given arc-interval centered $1$ when is large. This corresponds to Toeplitz determinant whose symbol indicator function several intervals having discrete rotational symmetry. solves and improves conjecture left opened by autho...

In this paper we study the rank equation rank [ A B C X ] = rank(A) and find the necessary and sufficient conditions when X = A and X = A are the solutions of that equation. In both cases we give a explicit form of matrices B and C. Department of Mathematics, Faculty of Sciences and Mathematics, University of Nǐs P.O. Box 224, Vǐsegradska 33, 18000 Nǐs, Serbia E-mail : [email protected] gaga...

introduction recently, employment of rotary tillers has been expanded in gardens and small farms, especially in the northern of iran. however using the l-shaped blades in the conventional rotary tillers have some problems such as severe vibration problems, weeds stucking around the blades, forming the plow pan and lower performance due to the less powers of such small rototillers. therefore in ...

Abstract We develop in this paper a novel intrinsic classification algorithm—multi-frequency class averaging (MFCA)—for classifying noisy projection images obtained from three-dimensional cryo-electron microscopy by the similarity among their viewing directions. This new algorithm leverages multiple irreducible representations of unitary group to introduce additional redundancy into representat...