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Istanbul, Turkey

Haliç University is a foundation university, which was founded in 1998 by the Children Leukemia Foundation in Turkey.Haliç University offers 21 academic departments in its five faculties, with three schools, School of Nursing, School of Physical Education and Sport and School of Health science and Conservatory. Wikipedia.

Koksal M.,Halic University | Koksal M.E.,University of Konya
Transactions of the Institute of Measurement and Control | Year: 2015

After summarizing the commutativity results for analogue linear time-varying systems, the commutativity of cascade connected discrete-time linear time-varying systems is introduced. Some general open questions on the subject are stated and new results are presented, intended to answer some of them. Two examples are given to reinforce the concept and to show up its possible benefits in engineering to reduce noise effects and design robust systems. © The Author(s) 2014. Source

Berber E.,Halic University
Clinical and Applied Thrombosis/Hemostasis | Year: 2011

Factor XI (FXI) deficiency is a rare autosomal bleeding disease associated with genetic defects in the FXI gene. It is a heterogeneous disorder with variable tendency in bleeding and variable causative FXI gene mutations. It is characterized as a cross-reacting material-negative (CRM-) FXI deficiency due to decreased FXI levels or cross-reacting material-positive (CRM+) FXI deficiency due to impaired FXI function. Increasing number of mutations has been reported in FXI mutation database, and most of the mutations are affecting serine protease (SP) domain of the protein. Functional characterization for the mutations helps to better understand the molecular basis of FXI deficiency. Prevalence of the disease is higher in certain populations such as Ashkenazi Jews. The purpose of this review is to give an overview of the molecular basis of congenital FXI deficiency. © The Author(s) 2011. Source

Ozekes S.,Istanbul Commerce University | Osman O.,Halic University
Journal of Medical Systems | Year: 2010

In this paper, a Computer Aided Detection (CAD) system based on three-dimensional (3D) feature extraction is introduced to detect lung nodules. First, eight directional search was applied in order to extract regions of interests (ROIs). Then, 3D feature extraction was performed which includes 3D connected component labeling, straightness calculation, thickness calculation, determining the middle slice, vertical and horizontal widths calculation, regularity calculation, and calculation of vertical and horizontal black pixel ratios. To make a decision for each ROI, feed forward neural networks (NN), support vector machines (SVM), naïve Bayes (NB) and logistic regression (LR) methods were used. These methods were trained and tested via k-fold cross validation, and results were compared. To test the performance of the proposed system, 11 cases, which were taken from Lung Image Database Consortium (LIDC) dataset, were used. ROC curves were given for all methods and 100% detection sensitivity was reached except naïve Bayes. © Springer Science + Business Media, LLC 2008. Source

Yumrutas R.,University of Gaziantep | Unsal M.,Halic University
Solar Energy | Year: 2012

An analytical model is presented and analyzed to predict the long term performance of a solar assisted house heating system with a heat pump and an underground spherical thermal energy storage tank. The system under investigation consists of a house, a heat pump, solar collectors and a storage tank. The present analytical model is based on a proper coupling of the individual energy models for the house, the heat pump, useful solar energy gain, and the transient heat transfer problem for the thermal energy storage tank. The transient heat transfer problem outside the energy storage tank is solved using a similarity transformation and Duhamel's superposition principle. A computer code based on the present model is used to compute the performance parameters for the system under investigation. Results from the present study indicate that an operational time span of 5-7. years will be necessary before the system under investigation can attain an annually periodic operating condition. Results also indicate a decrease in the annually minimum value of the storage tank temperature with a decrease in the energy storage tank size and/or solar collector area. © 2012 Elsevier Ltd. Source

Irmak-Yazicioglu M.B.,Halic University
Oncology Research and Treatment | Year: 2016

Gastric cancer is a genetically heterogeneous disease that causes cancer-related deaths worldwide. Although many studies on this disease have been performed, the molecular mechanisms of gastric tumorigenesis, invasion, and metastasis have still not been identified. MicroRNAs (miRNAs) are endogenously coded small RNA molecules, 18-25 nucleotides in length, that regulate gene expression at the post-transcriptional level. They are required for physiological activities in the cell, including development, proliferation, differentiation, and apoptosis. Research has now indicated their importance in carcinogenesis, with miRNA profiling revealing differences in the tumor and the normal tissue in several cancers. This difference in the expression pattern might lead to disrupted regulation of genes such as tumor suppressor genes and proto-oncogenes that are involved in cell cycle control, proliferative pathways, apoptosis, and metastasis in gastric carcinogenesis. Genes encoding miRNAs have been characterized as novel proto-oncogenes and tumor-suppressor genes based on findings that these miRNAs control malignant phenotypes. miRNA deregulation promotes cell-cycle progression, confers resistance to apoptosis, and enhances invasiveness and metastasis. Deregulated miRNAs affect the regulation of their target genes. Knowing the targets of miRNAs is of great importance for identifying the molecular mechanisms behind gastric carcinogenesis and forms the focus of this review. © 2016 S. Karger GmbH, Freiburg. Source

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