Books Received

WOS: 000324163700028In this study, estimation of narrow sense heritability, genetic correlations and relative effects of direct versus indirect selection were aimed for peduncle length, spike length, number of spikelet per spike and number of kernels per spike as selection was applied for shorter plant height in common wheat population of (Golia x Atilla-12) cross. While the indirect effect of direct selection for plant height was observed negative on number of kernels per spike, positive effect was obtained on peduncle length. It was understood that selection of peduncle length can be done indirectly through the selection for short plant height in the (Golia x Atilla-12), but while it had no effect on other components. Therefore, it was concluded that direct selection for short plant height can be done successfully, and on various selection practices and studies are necessary for the spike length, number of spikelet per spike and number of kernels per spike. (C) 2013 Friends Science Publisher

“Thickened” ligamentum flavum caused by laminectomy

Objective The purpose of this study was to evaluate the effect of a laminectomy on the adjacent ligamentum flavum (LF) by measuring LF thickness using magnetic resonance imaging (MRI). Materials and methods A total of 78 patients (31 man, 47 woman) with laminectomy were included in our study. After determination of laminectomy level, measurements were done from the thickest parts of the bilateral LF at the upper level of the laminectomy where bilateral facet joints were evident at the slice. Results Ipsilateral ligamentum flavum with laminectomy was significantly thicker than the contralateral ligamentum flavum with laminectomy. Conclusion Laminectomy cause thickening of ligamentum flavum. Therefore we assume that it should kept in mind that LFH may develop at the adjacent level to the laminectomy and careful clinical and radiological assessments’ should be done to exclude LFH in cases who complain about the recurrence of complaints during the post-operative period after laminectomy

Preoperative Radiological Assessment of The Total Knee Arthroplasty

Total knee arthroplasty (TKA) is a surgery method that can reduce symptoms and restore joint functions. Long-term success of this operation depends on the correct anatomical and mechanical planning before the prosthetic material implantation. Accurate implant alignment together with anatomical balance provides more successful clinical outcomes and longer duration of the prosthetic material. Improper preoperative planning may cause implant loosening and increased load on the knee joint. Conventional radiographs are the most frequently used imaging methods for this purpose. Computed tomography and magnetic resonance imaging may be used in required cases. In addition, computer-aided systems have come into use and successful results have been reported. Early radiographic evaluation is unnecessary after an uncomplicated TKA. Preoperative imaging has several aims such as to assess the severity of the disease, to analyze the reserve bone tissue, to review the relevant anatomy, and to decide which implant and surgical approach will be applied. In this article, we aimed to present the necessary and also auxiliary radiological evaluations made before TKA in order to achieve better clinical results

Investigation of effects ofinlet boundary conditions on the flow behaviour in a diesel injector

Orleans University, France;Samara State Aerospace University, Russia5th International Conference on Mechanical and Aerospace Engineering, ICMAE 2014 --18 July 2014 through 19 July 2014 -- Madrid --Diesel engines become popular from this point of view because of their high thermal efficiency. However, new and developing technologies are expected to lower their emission levels. Atomization of the fuel has a vital importance in order to control heat release rate and exhaust emission during combustion. With the known injection devices, atomization of the fuel is realized with high pressure systems such as common rail direct injectors (CRD) which operate at pressures exceeding 1300 bar. However, atomization of the fuel by simply increasing injection pressure can create cavitation erosion which may lead to mechanical failure of the nozzle. Utilization of air in diesel engine injectors will increase fuel atomization, provides more complete combustion of any diesel fuel consumed, enhance fuel economy and results in lower engine emissions. Therefore the aim of this study is to design a special injection device for use in a diesel engine which improves combustion by mixing air and fuel inside itself at optimum ratio. Proper air inlet pressure was determined for favorable diesel air mixing by investigation of the flow behavior in a newly designed injection device with the help of computational fluid dynamics based software. Three different air inlet pressures (20, 30 and 40 bar) are simulated and the contours of turbulence intensity, velocity and volume fraction of diesel fuel are discussed, and compared with each other. © (2014) Trans Tech Publications, Switzerland

Numerical studies of engine performance, emission and combustion characteristics of a diesel engine fuelled with hydrogen blends

Orleans University, France;Samara State Aerospace University, Russia5th International Conference on Mechanical and Aerospace Engineering, ICMAE 2014 --18 July 2014 through 19 July 2014 -- Madrid --In this study the performance, exhaust emission characteristics and combustion process of the engine fueled with hydrogen-diesel blends were compared to diesel fuel. Hydrogen was blended with diesel fuel at the volumetric ratios of 5%, 10% and 20%. AVL BOOST software was dedicated to simulate the performance and emission values for various blends of hydrogen with diesel fuel. The simulation results showed that hydrogen addition to diesel fuel improve both engine performance and exhaust emmisions. © (2014) Trans Tech Publications, Switzerland

Investigation of engine performance and emission characteristics of SI engine fuelled with ethanol blends by numerical simulation

Orleans University, France;Samara State Aerospace University, Russia5th International Conference on Mechanical and Aerospace Engineering, ICMAE 2014 --18 July 2014 through 19 July 2014 -- Madrid --In this study the influences of ethanol addition to gasoline on an spark ignition engine performance and emissions were explored. AVL BOOST software was used to simulate the performance and emission characteristics of different ethanol-gasoline blends. The blended fuels contain 5%, 10% and 15% of ethanol by volume, and indicated as B95E5, B90E10, and B85E15, respectively. The results showed that ethanol addition to gasoline fuel improve combustion process, decrease CO emissions and reduce BSFC of the SI engine. © (2014) Trans Tech Publications, Switzerland

All-star approach to a small medical imaging dataset: combined deep, transfer, and classical machine learning approaches for the determination of radial head fractures

Background Radial head fractures are often evaluated in emergency departments and can easily be missed. Automated or semi-automated detection methods that help physicians may be valuable regarding the high miss rate. Purpose To evaluate the accuracy of combined deep, transfer, and classical machine learning approaches on a small dataset for determination of radial head fractures. Material and Methods A total of 48 patients with radial head fracture and 56 patients without fracture on elbow radiographs were retrospectively evaluated. The input images were obtained by cropping anteroposterior elbow radiographs around a center-point on the radial head. For fracture determination, an algorithm based on feature extraction using distinct prototypes of pretrained networks (VGG16, ResNet50, InceptionV3, MobileNetV2) representing four different approaches was developed. Reduction of feature space dimensions, feeding the most relevant features, and development of ensemble of classifiers were utilized. Results The algorithm with the best performance consisted of preprocessing the input, computation of global maximum and global mean outputs of four distinct pretrained networks, dimensionality reduction by applying univariate and ensemble feature selectors, and applying Support Vector Machines and Random Forest classifiers to the transformed and reduced dataset. A maximum accuracy of 90% with MobileNetV2 pretrained features was reached for fracture determination with a small sample size. Conclusion Radial head fractures can be determined with a combined approach and limitations of the small sample size can be overcome by utilizing pretrained deep networks with classical machine learning methods

Investigation the fuel properties of apricot kernel biodiesel and diesel-biodiesel fuel blends

European Biotechnology Congress -- APR 26-28, 2018 -- Athens, GREECEWOS: 000454825900091