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Institution

Atatürk University

EducationErzurum, Turkey
About: Atatürk University is a education organization based out in Erzurum, Turkey. It is known for research contribution in the topics: Population & Oxidative stress. The organization has 5710 authors who have published 14234 publications receiving 264334 citations. The organization is also known as: Atatürk Üniversitesi.


Papers
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Journal ArticleDOI
TL;DR: In this article, a secondary analysis of six previous studies that formed part of an ongoing research program focused on examining the benefits of using writing-to-learn strategies within science classrooms is presented.
Abstract: This study is a secondary analysis of six previous studies that formed part of an ongoing research program focused on examining the benefits of using writing-to-learn strategies within science classrooms. The study is an attempt to make broader generalizations than those based on individual studies, given limitations related to sample sizes, topics, and classroom contexts. The results indicated that using writing-to-learn strategies was advantageous for students compared to those students working with more traditional science writing approaches. Using diversified types of writing enabled students in treatment groups to score significantly better on conceptual questions and total test scores than those in comparison groups. Importantly, when the cognitive demand of the question is increased from an extended recall to a design type question, there are significant performance differences between comparison and treatment groups in favour of treatment. The authors argue that the use of writing-to-learn strategies requires students to re-represent their knowledge in different forms and, as such, greater learning opportunities exist. Traditional writing strategies tend to favour replication of knowledge rather than re-representation knowledge.

87 citations

Journal ArticleDOI
TL;DR: This article uses the popular photoswitchable molecule, azobenzene, to demonstrate that the embedding in a nanoporous, crystalline solid enables a precise understanding of light-induced, reversible molecular motion.
Abstract: In this article, we use the popular photoswitchable molecule, azobenzene, to demonstrate that the embedding in a nanoporous, crystalline solid enables a precise understanding of light-induced, reversible molecular motion. We investigate two similar azobenzene-containing, pillared-layer metal–organic frameworks (MOFs): Cu2(AzoBPDC)2(BiPy) and Cu2(NDC)2(AzoBiPy). Experimental results from UV-vis spectroscopy and molecular uptake experiments as well as theoretical results based on density-functional theory (DFT) show that in the Cu2(AzoBPDC)2(BiPy) MOF structure, the azobenzene side groups undergo photoisomerization when irradiated with UV or visible light. In a very similar MOF structure, Cu2(NDC)2(AzoBiPy), the experimental studies show an unexpected absence of photoisomerization. The DFT calculations reveal that in both MOFs the initial and final states of the photoswitching process (the trans and the cis conformation) have similar energies, which strongly suggests that the reason for the effective blocking of photoswitching in the AzoBiPy-based MOFs must be related to the switching process itself. More detailed calculations show that in Cu2(NDC)2(AzoBiPy) a naphthalene linker from the molecular framework blocks the photoisomerization trajectory which leads from the trans to the cis conformation. For Cu2(AzoBPDC)2(BiPy), as a result of the different geometry, such a steric hindrance is absent.

87 citations

Journal ArticleDOI
TL;DR: ESP block can be used in multimodal analgesia practice to reduce opioid consumption and relieve acute postoperative pain in patients undergoing open lumbar decompression surgery.

87 citations

Journal ArticleDOI
TL;DR: ZOSMAT can be used for the purpose of either individual learning or real classroom environment with the guidance of a human tutor during a formal education process, and is a student-centered one that follows a student in each stage of the learning process.
Abstract: In recent years, there is a growing need for computer technology to be used in a real school environment and/or higher education classrooms. However, educational software has often been criticized as it has not been specifically designed to meet the needs of real classrooms. In this study, we have tried to develop the system, what we have called as ''ZOSMAT'' that will respond almost every needs of a real classroom. ZOSMAT can be used for the purpose of either individual learning or real classroom environment with the guidance of a human tutor during a formal education process. This characteristic of ZOSMAT distinguishes itself from other intelligent tutoring systems. ZOSMAT follows a student in each stage of the learning process and guides him/her about what he/she will need to do. ZOSMAT with a web-based feature presents an equal opportunity of education for both the student in the classroom and the student in the far end of the world. This system is a student-centered one and the progress in student's learning process depends on his/her effort.

87 citations

Journal ArticleDOI
Üner Tan1
TL;DR: It was concluded that the population bias can be expressed in a distribution skewed toward a right-hand bias as seen in man.
Abstract: The distribution of paw preferences were studied in 28 dogs. The paw preference was assessed by counting the right and left paw movements performed to remove an adhesive plaster from the eyes. The significance of the right minus left paw reaches in percentages was evaluated statistically in each animal. There were three distinct groups in respect to paw preferences in dogs: right-preferent (57.1%), left-preferent (17.9%), and ambidextrous (25.0%). Statistical analysis showed that the observed frequencies for each group were not merely chance variations which would be expected in a random sample. It was concluded that the population bias can be expressed in a distribution skewed toward a right-hand bias as seen in man.

87 citations


Authors

Showing all 5909 results

NameH-indexPapersCitations
Mustafa Yilmaz9575145011
İlhami Gülçin9239730209
Ibrahim Karaman6246313059
Parham Taslimi511806183
Ian H. White50100512499
Sezai Ercisli474788701
Şükrü Beydemir451645944
Mehmet Kobya441208968
Fikrettin Şahin442049209
Metin Turan422185474
Ali Cinar403126330
Hakan Özkan401487346
Mokhtar I. Yousef40795828
Mehmet Yilmaz406188292
Önder Metin381115537
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202369
2022201
20211,328
20201,067
2019905
2018752