In the modeling of a large class of problems in science and engineering, the minimization of a functional is appeared. Finding the solution of these problems needs to solve the corresponding ordinary differential equations which are generally nonlinear. In recent years He’s variational iteration method has been attracted a lot of attention of the researchers for solving nonlinear problems. This...

This paper presents FLOWTEST a concept on testing interorganizational workflows on model-level. FLOWTEST focuses on building up test-models, deriving test-cases and executing tests on predefined workflows consisting of atomic web-services. The main goal of FLOWTEST is the realization of a test-suite to drive round-trip testing from code to model back to code level.

According to the ‘phonological deficit hypothesis’, problems in reading and spelling in dyslexic persons are due to poor representations of sounds in long term memory. As a result, the acquisition of the grapheme-phoneme correspondence and word decoding is assumed to be difficult. In this paper we describe a perception experiment to find evidence for poor phonological representations in 9-13 ye...

Round ligament leiomyoma of uterus is rare. It can be presented as inguinal swelling mimicking the inguinal hernia or lymph node. Surgical excision is its curative treatment. Definitive diagnosis is made by histopathological examination. A 32 year old pregnant patient having round ligament leiomyoma as diagnosed histopathologically in Recep Tayyip Erdogan University Hospital in 2014 was present...

− Dynamic load sharing policies have been extensively studied. Most of the previous studies have assumed a homogeneous distributed system with a first-come-first-served (FCFS) node scheduling policy. In addition, job service times and inter-arrival times are assumed to be exponentially distributed. In this paper, we study the impact of these assumptions on the performance of sender-initiated an...

Discriminative training for machine translation has been well studied in the recent past. A limitation of the work to date is that it relies on the availability of high-quality in-domain bilingual text for supervised training. We present an unsupervised discriminative training framework to incorporate the usually plentiful target-language monolingual data by using a rough “reverse” translation ...