M. Emin Tagluk

Effects of highly purified urinary FSH and human menopausal FSH on uterine myoelectrical dynamics

The aim of the study was to investigate the effects of urinary follicle-stimulating hormone (FSH) compounds on the electrical activity of myometrium using signal-processing techniques. Thirty animals were involved in the experiment. After two successive normal estrous cycles, 15 of these animals were put into three equal subgroups. Group 1 was the control; animals were given solvent. Groups 2 and 3 were treated with Urofollitropin and Menotropin, respectively. The other 15 animals were ovariectomized and subjected to the same protocol. Their uterine myoelectrical signals were recorded over a period of at least 3 min at a sampling frequency of 500 Hz, and analyzed through software assisted signal processing. The results show the power and some characteristic spectral components of myoelectrical signal were differentially reduced with the administration of highly purified urinary FSH and human menopausal FSH but significant differences were not detected between their histology. In conclusion, uterine myoelectrical signals change with administration of urinary FSH preparations. Human menopausal FSH and more precisely highly purified FSH suppress the spectral components and modify the power of the myoelectrical signals which provides uterine quiescence.

Virtual hysterosalpingography and hysteroscopy: assessment of uterine cavity and fallopian tubes using 64-detector computed tomography data sets

Hysterosalpingography is the primary technique in providing coarse information on the morphology of endometrial cavity and fallopian tubes. In this preliminary study, 64-detector computed tomography was used for three-dimensional imaging of endometrium and fallopian tubes.

The influence of ion concentrations on the dynamic behavior of the Hodgkin–Huxley model-based cortical network

Action potentials (APs) in the form of very short pulses arise when the cell is excited by any internal or external stimulus exceeding the critical threshold of the membrane. During AP generation, the membrane potential completes its natural cycle through typical phases that can be formatted by ion channels, gates and ion concentrations, as well as the synaptic excitation rate. On the basis of the Hodgkin–Huxley cell model, a cortical network consistent with the real anatomic structure is realized with randomly interrelated small population of neurons to simulate a cerebral cortex segment. Using this model, we investigated the effects of Na+ and K+ ion concentrations on the outcome of this network in terms of regularity, phase locking, and synchronization. The results suggested that Na+ concentration does slightly affect the amplitude but not considerably affects the other parameters specified by depolarization and repolarization. K+ concentration significantly influences the form, regularity, and synchrony of the network-generated APs. No previous study dealing directly with the effects of both Na+ and K+ ion concentrations on regularity and synchronization of the simulated cortical network-generated APs, allowing for the comparison of results obtained using our methods, was encountered in the literature. The results, however, were consistent with those obtained through studies concerning resonance and synchronization from another perspective and with the information revealed through physiological and pharmacological experiments concerning changing ion concentrations or blocking ion channels. Our results demonstrated that the regularity and reliability of brain functions have a strong relationship with cellular ion concentrations, and suggested the management of the dynamic behavior of the cellular network with ion concentrations.

Use of porcine small intestinal submucosa to reconstruct an ovarian defect.

To investigate the feasibility of using porcine small intestinal submucosa (SIS) as a scaffold for repairing ovarian defects.

Influence of rewiring on spike activity and phase coherence in a Small-World cortical network

Subthreshold spike activities have a critical importance in synchronization of neuronal activity. In nonlinear systems, low level signals, depending on topologic structure and noise level, can increase the activity of the systems. Whether similar effects are valid for normal brain function or not is an important question need to be addressed. So, the objective of this study was to investigate for the influence of rewiring in a cortical network with Small-World (SW) topology on spike coherency. The investigation showed that SW rewiring rate (p) has an effect on synchronization of subthreshold activities and therefore increasing spike activity and increased discharges synchronized to the input of network.

Fault location on series compensated power transmission lines using transient spectrum

Nowadays sustainability and quality of energy have gained more importance. Power outages due to failures particularly cause interruption of production at industrial facilities may lead to loss of manpower and resources. One of the major causes of power outages in the power system is the short-circuit faults occurring in transmission lines. The most important requirement to clear the fault in a short time is to estimate the fault location quickly and accurately. In this study, fault location is determined in series compensated power transmission lines utilizing transient frequency spectrum. It has been shown that the method is suitable for series compensated lines.

Detecting fault type and fault location in power transmission lines by extreme learning machines

Importance of supplying qualified and undisturbed electricity is increasing day by day. Therefore, detecting fault, fault type and fault location is a major issue in power transmission system in order to prevent power delivery system security. In previous studies, we observed that faults can be easily determined by extreme learning machine (ELM) and the aim of this study is to determine applicability of ELM in fault type, zone and location detection. 8 different feature sets were exacted from fault data that produced by ATP and these features were assessed by 15 different classifier and 5 different regression method. The results showed that ELM can be employed for detecting fault types and locations successfully.

Separation of EEG signals by using Independent Component Analysis

Independent Component Analysis (ICA) is a statistical method used for separating nongaussian independent components of a mixture signal. In this study, by separating the signal into its possible independent components, the simplification and comprehension of analysis of EEG signals was aimed. Through such an analysis it was thought that early diagnosis of some neurological disease such as epilepsy, parkinsons disease, sleep disorders as well as information regarding the location and size of problematic zone may become possible.

Effect of external stimulus and ionic concentrations on Hodgkin-Huxley neural model

Hodgkin-Huxley (HH) neuron model has an important place in theoretical neuroscience. In the study, on the basis of HH neuron model, the effects of ionic sodium and potassium concentrations as well as the effect of excitation current density on AP were investigated. It was found that while sodium concentration predominantly affects the amplitude of AP, Potassium concentration affects the threshold and hyper-polarization levels. It was observed that the increase in excitation current level cause to early triggering of AP which leads to increase the AP/sec rate. This information may be used in theoretical neuroscience.