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    Publisher: Academic Journals Inc., USA
   
  Trends in Applied Sciences Research is a peer-reviewed scientific journal dedicated to publish cutting edge research in the broad field of applied sciences. Scope of the journal includes: Biology, chemistry, physics, environmental sciences, business and economics, finance, mathematics and statistics, geology, engineering, computer science, social sciences, natural and technological sciences, linguistics, medicine, architecture, industrial and all other applied and theoretical sciences food science and agricultural engineering.

Trends in Applied Sciences Research now accepting new submissions. Submit your best paper via online submission system.
  Editor-in-Chief:  Hossam El Din Mohammad Sallam
 
 
Cimbiz, A., E. Gulbandilar, V. Bayazit, Y. Ozay and H. Dayioglu, 2006. Relationship between skin resistance levels and one leg standing balance in healthy subjects. J. Med. Sci., 6: 286-291.
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Gok, A., S. Inal, F. Taspinar, E. Gulbandilar and K. Gok, 2014. Fatigue behaviors of different materials for schanz screws in femoral fracture model using finite element analysis. Optoelectron. Adv.Mater. Rapid Commun., 8: 576-580.
Gok, K., S. Inal, A. Gok and E. Gulbandilar, 2017. Comparison of effects of different screw materials in the triangle fixation of femoral neck fractures. J. Mater. Sci.: Mater. Med., Vol. 28. 10.1007/s10856-017-5890-y.
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Gulbandilar, A., N. Unal, H. Ozden, S. Kabay, E. Gulbandilar and K. Altintas, 2005. Relation between cranial venous return and hand preference by magnetic resonance angiography. Neurosci., 10: 132-136.
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Gulbandilar, E. and H. Gulhan, 2010. A new measurement method for determination of low back pain. Sci. Res. Essays, 5: 3371-3377.
Gulbandilar, E. and Y. Kocak, 2013. Prediction of the effects of fly ash and silica fume on the setting time of Portland cement with fuzzy logic. Neural Comput. Applic., 22: 1485-1491.
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Gulbandilar, E. and Y. Kocak, 2016. Application of expert systems in prediction of flexural strength of cement mortars. Comput. Concrete, 18: 1-16.
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Gulbandilar, E., A. Cimbiz, M. Sari and H. Ozden, 2008. Relationship between skin resistance level and static balance in type II diabetic subjects. Diabetic Res. Clin. Practice, 82: 335-339.
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Gulbandilar, E., S. Sevim and N. Dalkilic, 2014. Risk assesment model with fuzzy logic method in life insurance. Isletme Arastırmaları Dergisi, 6: 90-102.
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Guler, I., A. Tunca and E. Gulbandilar, 2008. Detection of traumatic brain injuries using fuzzy logic algorithm. Expert Syst. Applic., 34: 1312-1317.
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Guler, I., Z. Gokcil and E. Gulbandilar, 2009. Evaluating of traumatic brain injuries using artificial neural networks. Expert. Sys. Appl., 36: 10424-10427.
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Guven, G., B. Sahin, G. Aksaray, H. Ozden and G. Baylan et al., 2011. New stereological approach for the evaluation of patients with schizophrenia using computer tomography images: Ventricle to brain volume fraction. Sci. Res. Essays, 6: 2737-2745.
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Inal, S., F. Taspinar, E. Gulbandilar and K. Gok, 2015. Comparison of the biomechanical effects of pertrochanteric fixator and dynamic hip screw on an intertrochanteric femoral fracture using the finite element method. Int. J. Med. Rob. Comput. Assisted Surg., 11: 95-103.
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Kocak, Y., E. Gulbandilar and M. Akcay, 2015. Predicting the compressive strength of cement mortars containing FA and SF by MLPNN. Comput. Concrete, 15: 759-770.
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Sari, M., E. Gulbandilar and A. Cimbiz, 2012. Prediction of Low Back Pain with Two Expert Systems. J. Med. Syst., 36: 1523-1527.
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