Design of hydrostatic transmission of agriculture machines

This paper focuses on the use of hydrostatic transmissions for an agriculture machine. A hydrostatic transmission modifies and transmits power from the engine to the final drive, or directly to the wheels or tracks. An entire text could be devoted to the analysis required to properly match prime mover and load characteristics to achieve optimal productivity and efficiency. The objective in this paper is to understand the characteristics of a hydrostatic transmission so that it can be compared with mechanical transmissions

Static and dynamic characteristics of direct operated pressure relief valves

The static and dynamic characteristics of direct operated pressure relief valve, manufactured by BoschRexroth are presented in this study. Linear and nonlinear mathematic model of the valve in hydraulic system with volume of oil at its inlet and pipeline at its outlet are given. The linear model allows determining, with sufficient approximation, the maximum pressure values and the frequency of oscillations of the transient response

Теренско истражување во Радовишко поле

Студентите од Факултетот за музичка уметност од Штип, катедрата по етнокореологија имаа прилика неколку дена да истражуваат во етничките предели Радовишко Поле и Радовишки Шоплук. Истажувањата се вршеа во неколку села и тоа: Ињево, Дедино, Ораовица, Козбунар, Јаргулица, Шаинташ, Ново село и тн. Тема на истаржувањата беа народните ора, народните песни, народните инструменти и народните носии. Собраните материјали депонирани се на факултетот и претставуваат база за понатамошни истражувања од областа на етнокореологијата

Simulation of a workflow execution as a real Cloud by adding noise

Cloud computing provides a cheap and elastic platform for executing large scientific workflow applications, but it rises two challenges in prediction of makespan (total execution time): performance instability of Cloud instances and variant scheduling of dynamic schedulers. Estimating the makespan is necessary for IT managers in order to calculate the cost of execution, for which they can use Cloud simulators. However, the ideal simulated environment produces the same output for the same workflow schedule and input parameters and thus can not reproduce the Cloud variant behavior. In this paper, we define a model and a methodology to add a noise to the simulation in order to equalise its behavior with the Clouds’ one. We propose several metrics to model a Cloud fluctuating behavior and then by injecting them within the simulator, it starts to behave as close as the real Cloud. Instead of using a normal distribution naively by using mean value and standard deviation of workflow tasks’ runtime, we inject two noises in the tasks’ runtime: noisiness of tasks within a workflow (defined as average runtime deviation) and noisiness provoked by the environment over the whole workflow (defined as average environmental deviation). In order to measure the quality of simulation by quantifying the relative difference between the simulated and measured values, we introduce the parameter inaccuracy. A series of experiments with different workflows and Cloud resources were conducted in order to evaluate our model and methodology. The results show that the inaccuracy of the makespan’s mean value was reduced up to 59 times compared to naively using the normal distribution. Additionally, we analyse the impact of particular workflow and Cloud parameters, which shows that the Cloud performance instability is simulated more correctly for small instance type (inaccuracy of up to 11.5%), instead of medium (inaccuracy of up to 35%), regardless of the workflow. Since our approach requires collecting data by executing the workflow in the Cloud in order to learn its behavior, we conduct a comprehensive sensitivity analysis. We determine the minimum amount of data that needs to be collected or minimum number of test cases that needs to be repeated for each experiment in order to get less than 12% inaccuracy for our noising parameter. Additionally, in order to reduce the number of experiments and determine the dependency of our model against Cloud resource and workflow parameters, the conducted comprehensive sensitivity analysis shows that the correctness of our model is independent of workflow parallel section size. With our sensitivity analysis, we show that we can reduce the inaccuracy of the naive approach with only 40% of total number of executions per experiment in the learning phase. In our case, 20 executions per experiment instead of 50, and only half of all experiments, which means down to 20%, i.e. 120 test cases instead of 600

Bilateral trans-radial approach in stenting of occluded right axillary artery

With recent advancement in percutaneous endovascular interventions, angioplasty and stenting of axillary artery lesions could become the treatment of choice vs. surgical intervention owing to its lower complication and mortality rates and shorter hospital stay. We report a Caucasian female case with axillary artery chronic total occlusion (CTO) with dual etiology (atherosclerotic and radiation induced), which was successfully managed with stent angioplasty. The strategy used was right radial retrograde approach with contralateral injections from left radial catheter. Two year follow-up revealed widely patent axillary stents. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13019-014-0138-0) contains supplementary material, which is available to authorized users

CUDA DSP Filter for ECG Signals

Real time processing is very important and critical for analysis of ECG signals. Prior to each processing, the signal needs to be filtered to enable feature extraction and further analysis. In case of building a data processing center that analyzes thousands of connected ECG sensors, one expects that the signal processing needs to be done very fast. In this paper, we focus on parallelizing the sequential DSP filter for processing of heart signals on GPU cores. We set a hypothesis that a GPU version is much faster than the CPU version. In this paper we have provided several experiments to test the validity of this hypothesis and to compare the performance of the parallelized GPU code with the sequential code. Assuming that the hypothesis is valid, we would also like to find what is the optimal size of the threads per block to obtain the maximum speedup. Our analysis shows that parallelized GPU code achieves linear speedups and is much more efficient than the classical single processor sequential processing

Entwicklung und Charakterisierung echogener Liposomen zur Targetierung von ADAM8

Das Ziel dieser Arbeit war die Entwicklung und Charakterisierung einer neuen, liposomalen, nanoskaligen Formulierung zur Anwendung als Ultraschallkontrastmittel mit der Eigenschaft, an die Zielstruktur ADAM8 zu binden. Hierbei wurde speziell auf die Struktur und Funktionalität der Lipidvehikel hinsichtlich der Tumor-Targetierung geachtet. Die Partikel wurden auf ihren Ultraschallkontrast in ihrer Lipidzusammensetzung und Herstellungsmethode optimiert und in verschiedenen Durchflussmodellen mit diagnostischem Ultraschall vermessen. Die Intensität des Kontrastes wurde mit der eines kommerziell erhältlichen und klinisch verwendeten Ultraschall- kontrastmittels verglichen. Die Targetierung wurden die Vehikel kovalent mit einem Targetierungsliganden verknüpft und es wurden an verschiedenen Zielstrukturen Bindungsversuche durchgeführt. Der Fokus lag auf der Targetierung von ADAM8. Die Lipid-basierten Nanopartikel erfüllten die an sie gestellten Anforderungen bezüglich Größe, Struktur, Stabliltät, Funktionalität und konnten in den Targetierungversuchen durch deutliche Anreicherung an allen Zielstrukturen, vor allem ADAM8, überzeugen