Publications by authors named "C Caglar Erdem"

The main challenges to the widespread clinical application of three-dimensional (3D)-printed customized trays include cost and time limitations. This study examined how changing the internal structure of 3D-printed materials used for customized trays affects flexural strength (FS), flexural modulus (FM), manufacturing time, and material weight. Specimens (64 × 10 × 3.

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The purpose of this study is to examine the sense of school belonging and sportspersonship behaviors of students who participate in traditional children's games. The research was designed using a quasi-experimental model with a pre-test and post-test control group and was conducted over a period of 16 weeks. The study group consisted of a total of 1871 students, including 1379 middle school and 492 high school students, continuing their education in Eskil, Aksaray during the 2023-2024 academic year.

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Purpose: To evaluate the mechanical properties of the 3D printed provisional restoration material that was repaired using different materials.

Material And Methods: The bar specimens have been manufactured using three-dimensional printing technology in accordance with the ISO 10477:2020 standards and divided into 5 groups randomly. For repair material application and replacement on the standardized silicone mold, the test specimens were ground at the center by 1x2x2 mm.

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Article Synopsis
  • The study explores how previous work experience affects communication during organizational socialization for healthcare staff, emphasizing the role of psychological contracts.
  • A model based on signalling theory shows that effective information acquisition during socialization leads to psychological contract fulfillment, which enhances health, happiness, and social relationships.
  • Results indicate that these positive indirect effects are significant mainly for inexperienced newcomers, highlighting the need for organizations to focus on better onboarding practices for them.
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Data from cell viability assays, which measure cumulative division and death events in a population and reflect substantial cellular heterogeneity, are widely available. However, interpreting such data with mechanistic computational models is hindered because direct model/data comparison is often muddled. We developed an algorithm that tracks simulated division and death events in mechanistically detailed single-cell lineages to enable such a model/data comparison and suggest causes of cell-cell drug response variability.

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