General anaesthesia of children undergoing surgery (Turkish)

[No abstract available

Tendency monitoring and nearest-time estimation of rapid changing data: Cryptocurrency example

It is a very tiring process for people to watch the multiple parallel instant price changes in stock exchanges that are rapidly changing like the crypto money market. As a solution to this, a computer software that can make quick and objective decisions by constant observation can take the place of a person. In this study, an original decision algorithm that evaluates the instantaneous values of price change indicators and obtains relatively high earnings in a short period of time is examined. The Python programming language and Mathlib library have been used to construct this algorithm and to visualize the data, Moving Average Convergence Divergence (MACD) and Bollinger Bands have been used as a basic indicator. The result is an algorithm that requires less processing power and can operate continuously even on ARM-based mini-computers

Oesophageal and tracheal foreign body obstruction (Turkish)

[No abstract available

Local fibrinolytic activity of vessel wall and venous pressure

PubMed ID: 16300342[No abstract available

Autoerythrocyte sensitization syndrome

PubMed ID: 4788340[No abstract available

ORAL CONTRACEPTIVES IN HÆMOPHILIA

PubMed ID: 4102304[No abstract available

Histopathologic study of pathergy test in behçet′s disease

Background: The pathergy test (PT) is important in the diagnosis of Behçet′s disease (BD). However, misinterpretation of the test might cause false-positive or false-negative results. Therefore, immunopathologic and histopathologic tests are recommended with PT. Aims and Objectives: The aim of this study is to determine histopathologic findings of positive pathergy reaction at BD. Materials and Methods: This study was performed on 23 patients with BD. All patients were in active period of the disease. After 48 h from the injection, biopsy was performed on positive pathergy lesions. Results: Of the specimen from positive PT lesions of patients with BD, nine revealed mixed type inflammatory cell infiltration (39.1%), two revealed lobular panniculitis without vasculitis (8.7%), two revealed neutrophil rich infiltration (8.7%), and five revealed lymphocyte rich infiltration (21.7%) at the subcutaneous tissue. Mixed type inflammatory cell infiltration (43.4%), endothelial swelling and thickening (17.3%), erythrocyte extravasation (26.0%), perivascular cell infiltration (13.0%), lymphocytic vascular reaction (8.6%), lymphocytic vasculitis (13.0%), and leukocytoclastic vasculitis (21.7%) were detected in dermis by histopathologic examinations. There was no statistically significant difference between histopathologic findings and sex, family history, and systemic involvement except uveitis. Conclusion: This is an exceptional study since it is the first study that determines subcutaneous tissue findings of positive pathergy reaction in Behçet patients. In our study, uveitis was found to be statistically significant in the patients who had vasculitis in dermis. It can be a clue for prediction of disease severity and course. Further, studies that include wide number of patients will better illuminate the correlation between subcutaneous tissue findings and disease severity and clinical course

Relationship between healthy lifestyle behaviours and quality of life: An analysis of high school licensed athletes

This cross sectional descriptive survey study intended to assess the healthy lifestyle behaviours of high school students by investigating whether the development of healthy lifestyle behaviours on the part of the students, lead to an increase in their quality of life. Furthermore, understanding whether engagement in sports as a licensed athlete leads to any difference in terms of healthy lifestyle behaviours and quality of life was included. Data was collected from 824 high school students using “Personal Information Form”, “Health Promoting Lifestyle Profile-II (HPLPII)”, and the Pediatric Quality of Life Inventory (PedsQL-Adolescent Form)”. The analysis included descriptive statistics, one-way analysis of variance (one-way ANOVA), MANOVA and Pearson correlation analyses. In terms of Healthy Lifestyle Behaviour Total Score those who do sports with a license (χ=126.28) were significantly higher than those who do not (χ=116.14). The average total quality of life score was regarded as a high score. A weak correlation was observed between the healthy lifestyles and levels of quality of life. The students who engaged in sports as licensed athletes were found to have significantly higher levels of healthy lifestyle behaviours and quality of life. Keywords: Healthy Lifestyle Behaviours; Sports; Quality of life

COMPARISON OF OPEN SOURCE COMPRESSION ALGORITHMS ON VHR REMOTE SENSING IMAGES FOR EFFICIENT STORAGE HIERARCHY

High resolution level in satellite imagery came with its fundamental problem as big amount of telemetry data which is to be stored after the downlink operation. Moreover, later the post-processing and image enhancement steps after the image is acquired, the file sizes increase even more and then it gets a lot harder to store and consume much more time to transmit the data from one source to another; hence, it should be taken into account that to save even more space with file compression of the raw and various levels of processed data is a necessity for archiving stations to save more space. Lossless data compression algorithms that will be examined in this study aim to provide compression without any loss of data holding spectral information. Within this objective, well-known open source programs supporting related compression algorithms have been implemented on processed GeoTIFF images of Airbus Defence & Spaces SPOT 6 & 7 satellites having 1.5 m. of GSD, which were acquired and stored by ITU Center for Satellite Communications and Remote Sensing (ITU CSCRS), with the algorithms Lempel-Ziv-Welch (LZW), Lempel-Ziv-Markov chain Algorithm (LZMA & LZMA2), Lempel-Ziv-Oberhumer (LZO), Deflate & Deflate 64, Prediction by Partial Matching (PPMd or PPM2), Burrows-Wheeler Transform (BWT) in order to observe compression performances of these algorithms over sample datasets in terms of how much of the image data can be compressed by ensuring lossless compression