Zobrazeno 1 - 8 of 8 pro vyhledávání: '"Ecren Uzun Yaylacı"'
2
Comparative study by the finite element method of three activities of a wearer of total hip prosthesis during the postoperative period
Autor: Abdelmadjid Moulgada, Mohammed El Sallah Zagane, Murat Yaylacı, Ait Kaci Djafar, Sahli Abderahmane, Şevval Öztürk, Ecren Uzun Yaylacı
The post-operative period for a carrier of total hip prosthesis (THP), especially in the first months, remains the most difficult period for a patient after each operation, even if traumatologist surgeons want the relief and success of their operatio
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f2a8b80e2c7d3eb433b45e64b60e2ca6
https://doi.org/10.21203/rs.3.rs-2929616/v1
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4
Biomechanical analysis of odontoid and transverse atlantal ligament in humans with ponticulus posticus variation under different loading conditions: Finite element study
Autor: Yılmaz Güvercin, Murat Yaylacı, Ayberk Dizdar, Ayhan Kanat, Ecren Uzun Yaylacı, Sevil Ay, Ahmet Atilla Abdioğlu, Ahmet Şen
Publikováno v: Injury. 53(12)
Ponticulus posticus (PP) is a variation of the bone bridge that appears in the first cervical vertebra and through which the vertebral artery passes. Odontoid fractures are common spinal bone fractures in older people. This study aims to investigate
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad9edc25f957eda4a3dedcf1055aefb7
https://pubmed.ncbi.nlm.nih.gov/36229242
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5
Characterization of Pseudoalteromonas sp. from Aquaculture Environment and Optimization of Fermentation Culture Parameters by RSM-Based Modeling
Autor: Ecren Uzun yaylacı
Publikováno v: Turkish Journal of Fisheries and Aquatic Sciences. 22
The aim of the study was to identify Pseudoalteromonas strain OS-9 and evaluate its anti-Vibrio potential. Based on the morphological, biochemical, and 16S rRNA sequence analysis, the strain was identified as Pseudoalteromonas haloplanktis. Experimen
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2819c528a92f02e3f21c917c80b5e333
https://doi.org/10.4194/trjfas21726
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8
Application of Artificial Neural Networks to Predict Inhibition in Probiotic Experiments
Autor: Ecren Uzun yaylacı
Publikováno v: Volume: 13, Issue: 3 106-125
International Journal of Engineering and Applied Sciences
Artificial neural networks (ANNs) provide a modeling approach that can be used in the in vitro stages of probiotic studies. The aim of the study was to evaluate the ability of multilayer perceptron (MLP) and radial-basis function (RBF) ANNs to predic
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3c74cf9e5348c6f8f0c7a71138ea6ca
https://dergipark.org.tr/tr/pub/ijeas/issue/66141/1019382
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Plný text Recenzováno Digitální knihovna AV ČR
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