Afyon Kocatepe University

output

20052020

most citedTetragonal magnetic phase in Ba

_{1 - x}

_{x}

_{2}

_{2}

from x-ray and neutron diffraction

57 citations

14 papers

stat.ME2020★ 1 cited

Empirical Likelihood Estimation for Linear Regression Models with AR(p) Error Terms

Şenay Özdemir, Yeşim Güney, Yetkin Tuaç +1

Linear regression models are useful statistical tools to analyze data sets in several different fields. There are several methods to estimate the parameters of a linear regression…

math.RT2019

Isomorphism Problem For Uniserial Modules Over An Arbitrary Ring

Gabriella D'Este, Fatma Kaynarca, Derya Keskin Tütüncü

Firstly, we give a partial solution to the isomorphism problem for uniserial modules of finite length with the help of the morphisms between these modules over an arbitrary ring. L…

math.MG2016

The Ptolemaean Inequality in the closure of complex hyperbolic plane

Ioannis D. Platis, Nilgün Sönmez

We prove Ptolemaean Inequality and Ptolemaeus' Theorem in the closure complex hyperbolic plane endowed with the Cygan metric.

cond-mat.supr-con2015★ 57 cited

Tetragonal magnetic phase in Ba $_{1 - x}$ K $_{x}$ Fe $_{2}$ As $_{2}$ from x-ray and neutron diffraction

Jared M. Allred, Sevda Avci, Duck Young Chung +8

Combined neutron and x-ray diffraction experiments demonstrate the formation of a low-temperature minority tetragonal phase in Ba $_{0.76}$ K $_{0.24}$ Fe $_{2}$ As $_{2}$ in addition to the…

cond-mat.supr-con2014★ 38 cited

Coincident structural and magnetic order in BaFe $_{2}$ (As $_{1 - x}$ )P $_{x}$ ) $_{2}$ revealed by high-resolution neutron diffraction

Jared M. Allred, Keith M. Taddei, Daniel E. Bugaris +8

We present neutron diffraction analysis of BaFe $_{2}$ (As $_{1 - x}$ P $_{x}$ ) $_{2}$ over a wide temperature (10 to 300 K) and compositional ( $0.11 \leq x \leq 0.79$ ) range, including the norm…

cs.CY2012★ 22 cited

Intelligent learning environments within blended learning for ensuring effective C programming course

Utku Kose, Omer Deperlioglu

This paper describes a blended learning implementation and experience supported with intelligent learning environments included in a learning management system (LMS) called @KU-UZE…