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Prediction of soccer clubs' league rankings by machine learning methods: The case of Turkish Super League

Abdullah Erdal TÜMER

The aim of this research is to predict league rankings through various machine learning models using technical and physical parameters. This study followed a longitudinal observational analytical design. The SENTIO Sports optical tracking system was used to measure the physical demands and technical practices of the players in all matches. Then, the data regarding the last three seasons of the Turkish Super League (2015-2016, 2016-2017, and 2017-2018), was collected. In this research, league rankings were estimated using three machine learning methods: Artificial Neural Networks (ANN), Radial ...More

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The histological characteristics and localisation of ACP and ANAE positive lymphocytes in the oesophageal tonsil of the duck (Anas platyrhynchos)

Hasan Hüseyin DÖNMEZ

This study was carried out to examine histological and enzyme histochemical characteristics of the oesophageal tonsil in ducks (Anas platyrhynchos). Tissue samples were collected from distal parts of the mucosal folds at the oesophageal y proventricular junction. We applied alpha naphthyl acetate esterase and acid phosphatase to tissue sections for localisation of T or B lymphocytes. Trichrome staining, silver impregnation, methyl green-pyronin staining and PAS reaction were used for determination of light microscopic structure of the oesophageal tonsils. The oesophageal tonsils were located a ...More

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