4 research outputs found

    طراحی مدل مدیریت دانش در دانشگاه فنی و حرفه ای با راهبرد آموزش تربیت کارآفرین

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    The ever-increasing development of industry, information and technology in the world is moving forward at a fast pace. Countries seeking self-sufficiency and universal independence must prepare their country for sustainable entrepreneurship, production and employment, and human resources in the industry, in order to cope with the gap between existing skills and new skills. Under these conditions, we recognize the importance of the mission of universities that are active in the training of skilled entrepreneurs. Knowledge management in organizations, especially educational organizations, is an effective solution to this problem. This research, based on the Foundation's data strategy, studies the knowledge management strategy at the technical and vocational college. The research data were collected through 14 managers and technical experts, and semi-structured interviews. Validity and validity of the research data were confirmed by the opinions of the experts of the research based on the data of the Foundation as well as by the interviewees. Therefore, the results of this research were derived from the following conditions. Strategies include: 1. Entrepreneur training 2. Improvement of human resources 3. Qualification of university education as well as causal conditions including: 1. Human resource potential 2. University mission (entrepreneurship), as well as categories or pivot phenomena including: leadership of the organization, as well as The field includes: 1. Intellectual capital 2. Knowledge 3. Management strategy, as well as intervening conditions include: 1. Organizational structure 2. Teamwork 3. Organizational culture 4. Knowledge sharing and, in the end, the consequences: Knowledge management strategy at the university; The top managers of the university are guided by the mission and purpose of the organization (the training of skilled technicians and entrepreneurs)

    Efficacy of Novel Noncontrast Cardiac Magnetic Resonance Methods in Indicating Fibrosis in Hypertrophic Cardiomyopathy

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    Objective. In hypertrophic cardiomyopathy (HCM), myocardial fibrosis is routinely shown by late gadolinium enhancement (LGE) in cardiac magnetic resonance (CMR) imaging. We evaluated the efficacy of 2 novel contrast-free CMR methods, namely, diffusion-weighted imaging (DWI) and feature-tracking (FT) method, in detecting myocardial fibrosis. Methods. This cross-sectional study was conducted on 26 patients with HCM. Visual and quantitative comparisons were made between DWI and LGE images. Regional longitudinal, circumferential, and radial strains were compared between LGE-positive and LGE-negative segments. Moreover, global strains were compared between LGE-positive and LGE-negative patients as well as between patients with mild and marked LGE. Results. All 3 strains showed significant differences between LGE-positive and LGE-negative segments (P<0.001). The regional longitudinal and circumferential strain parameters showed significant associations with LGE (P<0.001), while regional circumferential strain was the only independent predictor of LGE in logistic regression models (OR: 1.140, 95% CI: 1.073 to 1.207, P<0.001). A comparison of global strains between patients with LGE percentages of below 15% and above 15% demonstrated that global circumferential strain was the only parameter to show impairment in the group with marked myocardial fibrosis, with borderline significance (P=0.09). A review of 212 segments demonstrated a qualitative visual agreement between DWI and LGE in 193 segments (91%). The mean apparent diffusion coefficient was comparable between LGE-positive and LGE-negative segments (P=0.51). Conclusions. FT-CMR, especially regional circumferential strain, can reliably show fibrosis-containing segments in HCM. Further, DWI can function as an efficient qualitative method for the estimation of the fibrosis extent in HCM

    Pulmonary Arteriovenous Pressure Gradient and Time-Averaged Mean Velocity of Small Pulmonary Arteries Can Serve as Sensitive Biomarkers in the Diagnosis of Pulmonary Arterial Hypertension: A Preclinical Study by 4D-Flow MRI

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    (1) Background: Pulmonary arterial hypertension (PAH) is a serious condition that is associated with many cardiopulmonary diseases. Invasive right heart catheterization (RHC) is currently the only method for the definitive diagnosis and follow-up of PAH. In this study, we sought a non-invasive hemodynamic biomarker for the diagnosis of PAH. (2) Methods: We applied prospectively respiratory and cardiac gated 4D-flow MRI at a 9.4T preclinical scanner on three different groups of Sprague Dawley rats: baseline (n = 11), moderate PAH (n = 8), and severe PAH (n = 8). The pressure gradients as well as the velocity values were analyzed from 4D-flow data and correlated with lung histology. (3) Results: The pressure gradient between the pulmonary artery and vein on the unilateral side as well as the time-averaged mean velocity values of the small pulmonary arteries were capable of distinguishing not only between baseline and severe PAH, but also between the moderate and severe stages of the disease. (4) Conclusions: The current preclinical study suggests the pulmonary arteriovenous pressure gradient and the time-averaged mean velocity as potential biomarkers to diagnose PAH
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