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- 저자 : ( Parisa Ghasemi ) (검색결과 4 건)
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Nahid Ghasemi,Maryam Ghasemi,Saleh Moazeni,Parisa Ghasemi,Njud S. Alharbi,Vinod Kumar Gupta,Shilpi Agarwal,Irina V. Burakova,Alexey G. Tkachev 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.62 No.-
In this study, a novel adsorbent, dioctylphetalate triethylenetetraamine magnetic nanoparticles (DOP-TETA-MNP) via a solvent-free procedure were synthesized for the removal of Zn (II) ions from aqueous solution. The morphological and anatomical characterization was investigated by various analytical techniques such as FTIR and SEM. Experimental data from evaluation of various influential parameters such as initial pH (2–7), initial ion concentration (5–20 mg/L), adsorbent dose (0.005–0.040 g), contact time (5–120 min) and temperature (308–333 K) of the solution were carried out using a batch adsorption method. DOP-TETA-MNP can be simply separated from aqueous solution with magnetic separations at low magnetic field. The kinetic data of Zn (II) ions were found to follow the pseudo-second-order kinetic model and the equilibrium data of ions sorption were well described by Langmuir isotherm model. The maximum monolayer sorption capacity of Zn (II) was estimated to be 24.21 mg/g at temperature of 333 K. Thermodynamic analyses show that the adsorption process is exothermic and spontaneous.
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Model Determination of Delayed Causes of Analgesics Prescription in the Emergency Ward in Arak, Iran
Cyrus, Ali,Moghimi, Mehrdad,Jokar, Abolfazle,Rafeie, Mohammad,Moradi, Ali,Ghasemi, Parisa,Shahamat, Hanieh,Kabir, Ali The Korean Pain Society 2014 The Korean Journal of Pain Vol.27 No.2
Background: According to the reports of the World Health Organization 20% of world population suffer from pain and 33% of them suffer to some extent that they cannot live independently. Methods: This is a cross-sectional study which was conducted in the emergency department (ED) of Valiasr Hospital of Arak, Iran, in order to determine the causes of delay in prescription of analgesics and to construct a model for prediction of circumstances that aggravate oligoanalgesia. Data were collected during a period of 7 days. Results: Totally, 952 patients participated in this study. In order to reduce their pain intensity, 392 patients (42%) were treated. Physicians and nurses recorded the intensity of pain for 66.3% and 41.37% of patients, respectively. The mean (SD) of pain intensity according to visual analogue scale (VAS) was 8.7 (1.5) which reached to 4.4 (2.3) thirty minutes after analgesics prescription. Median and mean (SD) of delay time in injection of analgesics after the physician's order were 60.0 and 45.6 (63.35) minutes, respectively. The linear regression model suggested that when the attending physician was male or intern and patient was from rural areas the delay was longer. Conclusions: We propose further studies about analgesics administration based on medical guidelines in the shortest possible time and also to train physicians and nurses about pain assessment methods and analgesic prescription.
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Model Determination of Delayed Causes of Analgesics Prescription in the Emergency Ward in Arak, Iran
( Ali Cyrus ),( Mehrdad Moghimi ),( Abolfazle Jokar ),( Mohammad Rafeie ),( Ali Moradi ),( Parisa Ghasemi ),( Hanieh Shahamat ),( Ali Kabir ) 대한통증학회 2014 The Korean Journal of Pain Vol.27 No.2
According to the reports of the World Health Organization 20% of world population suffer from pain and 33% of them suffer to some extent that they cannot live independently. Methods: This is a cross-sectional study which was conducted in the emergency department (ED) of Valiasr Hospital of Arak, Iran, in order to determine the causes of delay in prescription of analgesics and to construct a model for prediction of circumstances that aggravate oligoanalgesia. Data were collected during a period of 7 days. Results: Totally, 952 patients participated in this study. In order to reduce their pain intensity, 392 patients (42%) were treated. Physicians and nurses recorded the intensity of pain for 66.3% and 41.37% of patients, respectively. The mean (SD) of pain intensity according to visual analogue scale (VAS) was 8.7 (1.5) which reached to 4.4 (2.3) thirty minutes after analgesics prescription. Median and mean (SD) of delay time in injection of analgesics after the physician``s order were 60.0 and 45.6 (63.35) minutes, respectively. The linear regression model suggested that when the attending physician was male or intern and patient was from rural areas the delay was longer. Conclusions: We propose further studies about analgesics administration based on medical guidelines in the shortest possible time and also to train physicians and nurses about pain assessment methods and analgesic prescription. (Korean J Pain 2014; 27: 152-161)
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Eslami Akbar,Mahdipour Fayyaz,Maleksari Hajar Sharifi,Varank Gamze,Ghasemi Seyed Mehdi,Nejatian Parisa,Bagheri Amin,Madihi-Bidgoli Soheila 한국화학공학회 2023 Korean Journal of Chemical Engineering Vol.40 No.12
CaO2 was activated by Fe(II) and ultrasound (US) irradiation to degrade 2,4-dichlorphenoxyacetic acid (2,4-D) for the first time. Among transition metals (Fe, Cu, Mn and Co), Fe(II) had the best performance for the activation of CaO2. The impact of pH, CaO2 and Fe(II) concentration was studied, and under optimal situation ∼91% of 2,4-D was degraded during 60 min reaction time. The quenching experiments showed that the hydroxyl radical was the main factor for the destruction of 2,4-D while superoxide anions had a minor role. The bicarbonate ions and acid humic exhibited a strong inhibitory effect on the performance of CaO2/US/Fe(II) process. Carbon and chlorine mineralization of 2,4-D degradation was investigated; around 41% of C and 35% of Cl were mineralized during 60 min reaction time. The function of CaO2/US/Fe(II) process was studied on real drainage and other organic pollutants, and the results showed that the CaO2/US/Fe(II) process can be practical for water treatment. Finally, intermediates of 2,4-D degradation were identified, a pathway was proposed, and the toxicity of intermediates was assessed by ECOSAR software.
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