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- 저자 : Farzin Sadeghi (검색결과 4 건)
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Alireza Sadeghi,Somayeh Sadeghi,Mohammad Saleh Peikar,Maryam Yazdi,Mehran Sharifi,Safie Ghafel,Farzin Khorvash,Behrooz Ataei,Mohammad Reza Safavi,Elahe Nasri 대한혈액학회 2023 Blood Research Vol.58 No.2
Background With the emergence of the coronavirus disease 2019 (COVID-19) and inability of healthcare systems to control the disease, various therapeutic theories with controversial responses have been proposed. Plasmapheresis was administered as a medication. However, the knowledge of its efficacy and indications is inadequate. This study evaluated the use of plasmapheresis in critically ill patients with cancer. Methods This randomized clinical trial was conducted on 86 patients with malignancies, including a control group (N=41) and an intervention group (N=45) with severe COVID-19 during 2020-21. Both groups were treated with routine medications for COVID-19 management according to national guidelines, and plasmapheresis was applied to the intervention group. C-reactive protein (CRP), D-dimer, ferritin, lactate dehydrogenase, hemoglobin, and white blood cell, polymorphonuclear, lymphocyte, and platelet levels were measured at admission and at the end of plasmapheresis. Other variables included neutrophil recovery, intensive care unit admission, intubation requirements, length of hospital stay, and hospitalization outcomes. Results CRP (P <0.001), D-dimer (P <0.001), ferritin (P =0.039), and hemoglobin (P =0.006) levels were significantly different between the groups after the intervention. Neutrophil recovery was remarkably higher in the case than in the control group (P <0.001). However, plasmapheresis did not affect the length of hospital stay (P=0.076), which could have significantly increased survival rates (P <0.001). Conclusion Based on the study findings, plasmapheresis led to a significant improvement in laboratory markers and survival rate in patients with severe COVID-19. These findings reinforce the value of plasmapheresis in cancer patients as a critical population suffering from neutropenia and insufficient immune responses.
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Three-dimensional modeling of system of vibrating spherical balls using discrete element method†
Farzin Salehpour-Oskouyi,Morteza Homayoun Sadeghi 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.1
The modeling of particulate systems has been an important focus of research worldwide, as these are fairly common in nature, such asrain drops in air, snowfall, and several industrial processes such as chemistry, agriculture, pharmaceutical, powder metallurgy, soil mechanics,casting, cement manufacturing, civil, and etc. In recent years, one of important aspects of the granular material physics in industriesis controlling way of the granular flow. One of the best ways of controlling the flow is the use of mechanical vibrations to guide theparticles in desirable way. In this paper the effect of horizontal harmonic vibration on the particles flow is theoretically and experimentallyinvestigated. During the base vibration, the spherical particles collide with each other and with the walls as well, causing a globalpattern of particle motion which is interpreted as flow. The motion of spherical particles and the interaction forces due to the vibration isobtained numerically via discrete element method (DEM). Finally, the presented numerical model is compared with the experimental oneand a good agreement between them is noticed.
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Simulation and Optimization of Nonperiodic Plasmonic Nano-Particles
Majid Akhlaghi,Farzin Emami,Mokhtar Sha Sadeghi,Mohammad Yazdanypoor 한국광학회 2014 Current Optics and Photonics Vol.18 No.1
A binary-coupled dipole approximation (BCDA) is described for designing metal nanoparticles with nonperiodic structures in one, two, and three dimensions. This method can be used to simulate the variation of near- and far-field properties through the interactions of metal nanoparticles. An advantage of this method is in its combination with the binary particle swarm optimization (BPSO) algorithm to find the best array of nanoparticles from all possible arrays. The BPSO algorithm has been used to design an array of plasmonic nanospheres to achieve maximum absorption, scattering, and extinction coefficient spectra. In BPSO, a swarm consists of a matrix with binary entries controlling the presence (‘1’) or the absence (‘0’) of nanospheres in the array. This approach is useful in optical applications such as solar cells, biosensors, and plasmonic nanoantennae, and optical cloaking.
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Abolfazl Fateh,Mohammadreza Aghasadeghi,Seyed D. Siadat,Farzam Vaziri,Farzin Sadeghi,Roohollah Fateh,Hossein Keyvani,Alireza H. Tasbiti,Shamsi Yari,Angila Ataei-Pirkooh,Seyed H. Monavari 질병관리본부 2016 Osong Public Health and Research Persptectives Vol.7 No.2
Objectives: This study aimed to evaluate the specificity, sensitivity, cost, and turn-around time of three methods of gene polymorphism analysis and to study the relationship between IL28B rs12979860 and SVR rate to pegIFN-α/RVB therapy among patients with chronic hepatitis C. Methods: A total of 100 samples from chronic hepatitis C patients were analyzed in parallel using the three methods: direct sequencing, real-time polymerase chain reaction (PCR), amplification refractory mutation system (ARMS)-PCR. Results: The different profiles for IL28B rs12979860 alleles (CC, CT, and TT) obtained with PCR-RFLP, ARMS-PCR, and direct sequencing were consistent among the three methods. Prevalence of rs12979860 genotypes CC, CT and TT in HCV genotype 1a was 10(19.6%), 35(68.6%), and six (11.8%), respectively, and in HCV genotype 31, it was 13(26.5%), 31(63.3%), and five (10.2%), respectively. No significant difference was seen between rs12979860 genotype and HCV genotype (p = 0.710). Conclusion: Screening by ARMS - PCR SNOP detection represents the most efficient and reliable method to determine HCV polymorphisms in routine clinical practice.
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