Multi-nucleon transfer in 58Ni+60Ni{}^{58}\text{Ni}+{}^{60}\text{Ni} and 60Ni+60Ni{}^{60} \text{Ni}+{}^{60}\text{Ni} in stochastic mean-field approach

The multi-nucleon exchange mechanism in ${}^{58} \text{Ni}+{}^{60} \text{Ni}$ and ${}^{60} \text{Ni}+{}^{60}\text{Ni}$ collisions is analyzed in the framework of the stochastic mean-field approach. The results of calculations are compared with the TDRPA calculations and the recent data of ${}^{58} \text{Ni}+{}^{60} \text{Ni}$. A good description of the data and a relatively good agreement with the TDRPA calculations are found.Comment: 6 pages, 6 figure

Incarcereted Epigastric Hernia with Liver Content: a Case Report

The epigastric hernia sac usually contains preperitoneal fat tissue, omentum, and intestines, but the presence of liver tissue is extremely rare. Epigastric hernia is a type of hernia in the midline of the abdominal wall between the umbilicus and the xiphoid process. It may be asymptomatic in some patients and cause complaints such as pain and nausea in most patients, but serious complications such as incarceration and strangulation are rare. In the present case, a 74-year-old woman was examined and found to have an irreduced omentum, transverse colon and liver tissue inside the hernia sac. She underwent an open procedure with onlay mesh-assisted hernia repair. Rare but serious complications, such as liver tissue incarceration, should be considered in epigastric hernia patients

Spectral Ray Tracing for Generation of Spatial Color Constancy Training Data

Computational color constancy is a fundamental step in digital cameras that estimates the chromaticity of illumination. Most of automatic white balance (AWB) algorithms that perform computational color constancy assume that there is a single illuminant in the scene. This widely-known assumption is frequently violated in the real world. It could be argued that the main reason for the assumption of single illuminant comes from the limited amount of available mixed illuminant datasets and the laborious annotation process. Annotation of mixed illuminated images is orders of magnitude more laborious compared to a single illuminant case, due to the spatial complexity that requires pixel-wise ground truth illumination chromaticity in various ratios of existing illuminants. Spectral ray tracing is a 3D rendering method to create physically realistic images and animations using the spectral representations of materials and light sources rather than a trichromatic representation such as red-green-blue (RGB). In this thesis, this physically correct image signal generation method is used in creation of spatially varying mixed illuminated image dataset with pixel-wise ground truth illumination chromaticity. In complex 3D scenes, materials are defined based on a database of real world spectral reflectance measurements and light sources are defined based on the spectral power distribution definitions that have been released by the International Commission on Illumination (CIE). Rendering is done by using Blender Cycles rendering engine in the visible spectrum wavelengths from 395nm to 705nm with 5nm equal bins resulting in 63 channel full-spectrum image. The resulting full-spectrum images can be turned into the raw response of any camera as long as the spectral sensitivity of the camera module is known. This is a big advantage of spectral ray tracing since color constancy is mostly camera module-dependent. Pixel-wise white balance gain is calculated through the linear average of illuminant chromaticities depending on their contribution to the mixed illuminated raw image. The raw image signal and pixel-wise white balance gain are fundamentally needed in spatial color constancy dataset. This study implements an image generation pipeline that starts from the spectral definitions of illuminants and materials and ends with an sRGB image created from a 3D scene. 6 different 3D Blender scenes are created, each having 7 different virtual cameras located throughout the scene. 406 single illuminated and 1015 spatially varying mixed illuminated images are created including their pixel-wise ground truth illumination chromaticity. Created dataset can be used to improve mixed illumination color constancy algorithms and paves the way for further research and testing in the field

Customer Risk Percept?ons Of Internet Bank?ng – A Study In Turkey

Technological developments in electronics have lead to the introduction of technology-based self- service systems resulting in the reorganization of several industries offering their services in electronic format known as “eservice” – electorinic banking is called „internet banking?. With increasingly easier access to the internet, even in developing countries like Turkey over 18 % of all banking customers already use Internet Banking actively. Customers usually perceive risks in conducting transactions electronically, and particularly if the transactions involve money. Risk perception can be of six different types: time risk, finacial risk, performance risk, psychological risk, safety risk & confidentiality risk. It is generally considered that risk perception could be higher for electronic banking services. This study aims to understand the extent to which this consideration is valid as well as to determine the levels of risk perception differences among those using Internet Banking and those not using it. A survey was conducted among 350 academic staffs and their responses were analyzed statistically. This study showed that while customers used Internet Banking for a variety of different purposes such as to determine account balance, transfer money, or to pay invoices, etc., there was a significant relationship between the income level of customers and their risk perceptions. An analysis of the differences in risk perceptions between bank customers using Internet Banking (IB) and those not using IB showed that risk perceptions in terms of financial, psychological and safety risks among customer not using IB was more pronounced than those using IB. Customers not preferring to use internet banking thought that they would be swindled when using this service, and therefore, were particularly careful about high risk expectation during money transfers from and between accounts

Self-Optimization of Coverage and Capacity in LTE using Adaptive Antenna Systems

In cellular radio networks, the selection of antenna parameters and techniques for antennas plays a key role for capacity and coverage area. Not only network performance is affected by suboptimal network planning but also it is affected by the dynamic radio environment. Therefore, antenna parameters should be adjusted adaptively. Since reacting to the changed situation manually is very expensive and time consuming, The Third Generation Partnership Project (3GPP) introduced the Coverage and Capacity Optimization (CCO) use case for Long Term Evolution (LTE) under the topic of Self-Organizing Network (SON). This thesis work provides a detailed analysis of the optimization space of antenna parameters and compares different tilt techniques as well as discusses vertical sectorization as a novel capacity optimization approach. The work continues by further focusing on the self optimization of coverage and capacity using Adaptive Antenna Systems (AAS) on the basis of findings in the previous simulations on antenna parameters. Evaluations are performed by mapping link-level simulation results into a system level LTE simulator that models antennas in details and propagation in three dimensions

Investigating the effects of neuromobilization in lateral epicondylitis

Study Design: Randomized controlled study. Introduction: Lateral epicondylitis (LE) causes pain and loss of function in the affected limb. Different exercises have been used for the treatment of LE. In recent years, the technique of neuromobilization has been frequently used to treat tendinopathy. However, there is no study that demonstrates the effects of neuromobilization techniques on patients with LE. Purpose of the Study: The aim of the present study was to determine the effects of neuromobilization techniques on pain, grip strength, and functional status in LE patients and to compare them with conservative rehabilitation treatment. Methods: A total of 40 patients (26 females and 14 males; age: 42.80 ± 8.91 years) with a history of LE participated in the study. The patients were randomly assigned to two groups: the neuromobilization group and the control group. The neuromobilization group completed a 6-week conservative rehabilitation and radial nerve mobilization program, whereas the control group received conservative rehabilitation therapy only. Both groups underwent a 7-day weekly conservative home rehabilitation program. Pain severity, grip strength, pinch strength, joint motions, and upper extremity functional level were assessed before treatment, at the third week after treatment, and at the sixth week after treatment. Results: There was a significant decrease in all pain scores in favor of the neuromobilization group at week 6 after treatment (at rest: P = .001, effect size (ES) = 0.84; at night: P = .001, ES = 0.91 and during activity: P = .004, ES = 1.06). No significant differences were found for grip strength, pinch strength, joint motions, and functional level in the neuromobilization group, although trends toward better improvement were observed. Conclusions: Radial nerve mobilization techniques are more effective on pain than conservative rehabilitation therapy in LE patients, and this effect continues after treatment. © 2020 Hanley & Belfu

Building a Time Server with RaspberryPI & GPS, Connecting with a Free Web GIS Software

In this study, we have organized a revival project for Time Synchronization and used a Raspberry PI & GPS Module to capture The GPS Signal and parsed the Signal for building NTP Server. After building NTP Server, we are going to make a GPS handset by adding touch screens to our Raspberry Pis and we\u27re going to use this handset for locating the trees at the Kandilli Observatory and Earthquake Research Institute Campus. At the end, collected the data will be used at the free and open source web GIS software for our project

ASSOCIATION OF BDNF / TRKB AND NGF / TRKA LEVELS IN POSTMORTEM BRAIN WITH MAJOR DEPRESSION AND SUICIDE

Background: Suicide Attempts are the main complications of Major Depressive Episodes and are difficult to predict. There is still a lack of knowledge about its neurochemical aspects. There is increasing evidence that Brain-derived neurotrophic factor (BDNF) and Nerve growth factor (NGF) play a role in the pathophysiology and treatment of depression by binding and activating cognate receptors Tyrosine Kinase B (TrkB) and Tyrosie Kinase A (TrkA), respectively. This study was conducted to examine whether BDNF and / or TrkB as well as NGF and / or TrkA expression profiles were changed in the hippocampus of postmortem brain of individuals with depression who committed suicide. Subjects and methods: This study was conducted with the brain tissue of 61 victims who died as a result of suicide due to depression and 25 people who died due to traffic accidents. The psychiatric history of the cases was determined by the psychological autopsy method. Samples were taken from the hippocampus region of the brain at the forensic medicine institution. After storage under appropriate conditions, protein and mRNA levels of BDNF, TrkB, NGF and TrkA were determined in the genetics laboratory. Results: Average age of the suicide group was 30 and the average age of the control group was 24.5. The suicide group consisted of 70.5% male and 29.5% female cases. There was no significant difference between the groups in terms of age (p=0.062) and gender (p=0.718). BDNF, NGF, TrkA and TrkB values were found to be lower in the suicide group compared to the control group and there was a significant difference between the groups (p=<0.001; p=0.001; p=0.001; p=0.011). Conclusion: Given the importance of BDNF and NGF and their cognate receptors in mediating physiological functions, including cell survival and synaptic plasticity, our findings regarding decreased expression of BDNF, TrkB, NGF and TrkA in both protein and mRNA levels of postmortem brains of suicide victims suggests that it may play an important role in the pathophysiological aspects of its behavior. Further studies in this context may be useful both in understanding the molecular basis of suicide and in designing therapeutic models targeting these molecular pathways