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Mustafa Yilmaz

Researcher at Dicle University

Publications -  906
Citations -  47790

Mustafa Yilmaz is an academic researcher from Dicle University. The author has contributed to research in topics: Large Hadron Collider & Medicine. The author has an hindex of 95, co-authored 751 publications receiving 45011 citations. Previous affiliations of Mustafa Yilmaz include Marmara University & Karabük University.

Papers
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Quantitation of Fat Soluble Vitamins in Different Walnut Genotypes and Commercial Cultivars; a Comprehensive and Robust LC-MS/MS Method Validation

TL;DR: A robust LC-MS/MS analytical method was developed to simultaneously quantify five fat soluble vitamins (D 2, D 3, K 2, E, K 1 ) in eleven walnut genotypes and two commercial cultivars.

Measurement of jet shapes in top-quark pair events at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$\sqrt{s} = 7 \ \mbox{TeV}$\end{document} using the ATLAS detector

Georges Aad, +2898 more
TL;DR: A measurement of jet shapes in top-quark pair events using 1.8 fb−1 collision data recorded by the ATLAS detector at the LHC is presented in this article.
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Global trends in Trachoma

TL;DR: The USA and England are the leading countries in scientific production on this topic and the number of articles has never dropped under 100 articles per year since 1985.
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Central Nervous System: Overall Considerations Based on Hardware Realization of Digital Spiking Silicon Neurons (DSSNs) and Synaptic Coupling

TL;DR: Hardware results show the high-degree of similarity between the original and proposed models (in terms of neuronal behaviors) and also higher frequency and low-cost condition have been achieved, and implementation results show that the overall saving is more than other papers and also the original model.
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Morphometric analysis of hippocampus and intracranial formations based on their stages in patients diagnosed with major cognitive disorder.

TL;DR: The most efficient volumetric study in AD could be performed by obtaining long-term periodic morphometric data of an early diagnosed and regularly followed-up patient population.