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فهرست مطالب نویسنده:

kianoush hosseini

  • Hassan Tamartash, Behrouz Attarbashi Moghadam, Kianoush Hosseini, Shiva Musavi
    Introduction
    The present study aimed to determine the relationship between New York Heart Association (NYHA) classification and disease characteristics on the quality of life scores and the distribution of the scores at different stages of Heart Failure (HF).
    Materials And Methods
    A total of 150 patients with HF participated in this cross-sectional study. The method of data collection was interview based on NYHA classification and using the validated Persian version of the Kansas City Cardiomyopathy Questionnaire (PKCCQ).
    Results
    According to NYHA classification, 10% of patients were classified as mild HF, 16% as moderate HF, 63% as severe HF, and 11% as very severe HF. Significant differences were observed for total score and the component scores of PKCCQ among four stages of the disease (P
    Conclusion
    Distribution of the quality of life scores in patients with different stages of HF showed that quality of life scores overlap in the severe and very severe stages. Classifying the disease using NYHA classification cannot distinct patients with HF according to impairments in their health status between severe and very severe stages. In addition, the degree of education is the factor that may affect the quality of life.
    Keywords: Quality of life, Heart failure disease, New York Heart Association classification information, Clinical HF Questionnaire, Kansas City Cardiomyopathy Questionnaire
  • Kianoush Hosseini, Abdolhossein Sadeghi, Ali Asghar Asgharian Jeddi*
    This study focuses on the tensile modulus and Poisson’s ratio variations of woven fabric in nonlinear region of load-extension curve. This region of the curve can play as a control approach on the secondary modulus/primary modulus ratio. For this purpose, the fabric modulus and Poisson’s ratio were determined for three different weave structures (plain, 1/3 twill, and 1/7 twill) in the warp and weft directions. The experimental results were analysed statistically to obtain the primary and secondary linear regions and also the nonlinear region of fabrics moduli. The analysis explain that the geometry of fabric structures such as the float and diagonal parts of yarn and also the yarn crimp in both warp and weft yarns have important role on the modulus and Poisson’s ratio of fabrics in the nonlinear region. It was found that the greatest range of the nonlinear region in the warp direction is for plain then, 1/3 and 1/7 twill weaves, respectively, by reason of the increase of diagonal part of yarn and the decrease of float part of yarn in fabric structures, simultaneously. But, due to the buckling of the float part of yarn in the weft direction, the 1/7 twill weave has the greatest range of the nonlinear region and the plain weave has the least one.
    Keywords: Woven fabric, tensile modulus, Poisson's ratio, uniaxial tensile loading, nonlinear region
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