this workshop features, (live) demonstration of sonographic technique of the upper extremity joints; patient positioning; transducer choices, operation and position on the anatomic landmarks; optimal evaluation of the anatomic structures in shoulder, elbow and wrist; hopefully on thursday or friday.

In this paper the operation of multiple reservoirs by the utilization of analysis method of the system dynamics is considering and this analysis method is based on the feedback and object oriented events. The goal of this research is presentation of a new method by utilization of system dynamicity technique for simulation of the reservoir. This software is a product of Ventana Company and the e...

The Oncoplastic and Reconstructive Breast Surgery course was held in Izmir by the Izmir Breast Diseases Federation in collaboration with the Breast Diseases Federation of Turkey. The techniques of oncoplasty, the application details and experience in this subject were shared. In this text, the main topics and outcomes are briefly summarised. These evaluations can be considered highly valuable o...

We define a lazy pattern-matching mechanism modulo associativity and commutativity. The solutions of a pattern-matching problem are stored in a lazy list composed of a first substitution at the head and a non-evaluated object that encodes the remaining computations. We integrate the lazy AC-matching in a strategy language: rewriting rule and strategy application produce a lazy list of terms.

We introduce a theory of infinite lists in HOL formalized as functions over naturals (folder ListInf, theories ListInf and ListInf Prefix). It also provides additional results for finite lists (theory ListInf/List2), natural numbers (folder CommonArith, esp. division/modulo, naturals with infinity), sets (folder CommonSet, esp. cutting/truncating sets, traversing sets of naturals).

Criteria for evaluating the performance of a classifier are an important part in its design. They allow to estimate the behavior of the generated classifier on unseen data and can be also used to compare its performance against the performance of classifiers generated by other classification algorithms. There are currently several performance measures for binary and flat classification problems...

Matrix embedding (ME) is a well-known steganographic scheme that can improve the embedding efficiency of steganography. In ME, the sender and recipient agree on a matrix in advance, and the message will be embedded into the cover data according to the matrix. In this paper, we propose a general framework for ME based on covering sequence (CS) of finite abelian group. By the proposed approach, t...