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      • KCI등재

        Half-Saline Versus Normal-Saline as Irrigation Solutions in Burr Hole Craniostomy to Treat Chronic Subdural Hematomata: A Randomized Clinical Trial

        Mehdi Mahmoodkhani,Mohammad Sharafi,Arman Sourani,Donya Sheibani Tehrani 대한신경손상학회 2022 Korean Journal of Neurotrauma Vol.18 No.2

        Objective: This study aimed to evaluate the efficacy and safety of half-saline (HS) serum as an irrigation solution in chronic subdural hematoma (CSDH) surgery using the burr hole craniostomy (BHC) technique. Methods: This randomized clinical trial was conducted in university hospital referral centers from 2020 to 2021. Sixty-three patients with CSDH eligible for BHC were primarily enrolled. Two patients were excluded because of concurrent stroke. Sixty-one patients were randomly allocated into case (HS=30) and control (normal-saline [NS]=31) groups. HS was used to irrigate the hematoma in the case group and NS was used in the control group. The patients were followed-up. Clinical variables including demographic and medical findings, postoperative computed tomography findings, postoperative complications, hospitalization period, recurrence rate, and functional status measured by the Barthel type B index were recorded. Results: Forty-six of 61 patients were male (75.4%), and the patients’ mean age was 65.4±16.9 years, with equal distribution between the 2 groups. Postoperative effusion and postoperative hospital stay duration were significantly lower in the HS group than in the NS group (p=0.002 and 0.033, respectively). The postoperative recurrence within 3 months in both groups was approximately equal (6.6%). In terms of functional outcomes and postoperative complications, HS showed similar results to those of NS. Conclusion: HS as an irrigation fluid in BHC effectively reduced postoperative effusion and hospital stay duration without considerable complications.

      • KCI등재

        Process modeling and optimization of biological removal of carbon, nitrogen and phosphorus from hospital wastewater in a continuous feeding & intermittent discharge (CFID) bioreactor

        Meghdad Pirsaheb,Mitra Mohamadi,Amir Mohammad Mansouri,Ali Akbar Lorestani Zinatizadeh,Sethupathi Sumathi,Kiomars Sharafi 한국화학공학회 2015 Korean Journal of Chemical Engineering Vol.32 No.7

        We evaluated the feasibility and treatment performance of a continuous feeding and intermittent discharge (CFID) bioreactor treating real hospital wastewater with the emphasis on simultaneous carbon, nitrogen and phosphorus (CNP) removal. The experiments were based on a central composite design (CCD) and analyzed by response surface methodology (RSM). To analyze the process, three significant variables, aeration time (2-4 h), mixing time without aeration (30-90 min) and MLSS concentration (2,000-6,000mg/l), were studied. Results show that an increase in aeration time increased the nitrogen and phosphorous removal efficiency. However, when the aeration time was more than 3 h, the efficiency of phosphorous removal was decreased due to insufficient acidification. A similar scenario was observed when mixing time was increased for phosphorus and nitrogen removal efficiency. MLSS had a positive effect on all the responses. Under optimal conditions, the concentrations of quality parameter in the influent in average were recorded as 586 mg COD/l, 296mg BOD5/l, 97mgTN/l and 16.47mg TP/l, which yields the following removal efficiencies, 95.6%, 98.3%, 88.0% and 92.0%, respectively.

      • KCI등재

        Modification of the Conventional Influenza Epidemic Models Using Environmental Parameters in Iran

        Ahmad Naserpor,Sharareh R. Niakan Kalhori,Marjan Ghazisaeedi,Rasoul Azizi,Mohammad Hosseini Ravandi,Sajad Sharafie 대한의료정보학회 2019 Healthcare Informatics Research Vol.25 No.1

        Objectives: The association between the spread of infectious diseases and climate parameters has been widely studied in recent decades. In this paper, we formulate, exploit, and compare three variations of the susceptible-infected-recovered (SIR) model incorporating climate data. The SIR model is a well-studied model to investigate the dynamics of influenza viruses; however, the improved versions of the classic model have been developed by introducing external factors into the model. Methods: The modification models are derived by multiplying a linear combination of three complementary factors, namely, temperature (T), precipitation (P), and humidity (H) by the transmission rate. The performance of these proposed models is evaluated against the standard model for two outbreak seasons. Results: The values of the root-mean-square error (RMSE) and the Akaike information criterion (AIC) improved as they declined from 8.76 to 7.05 and from 98.12 to 93.01 for season 2013/14, respectively. Similarly, for season 2014/15, the RMSE and AIC decreased from 8.10 to 6.45 and from 117.73 to 107.91, respectively. The estimated values of R(t) in the framework of the standard and modified SIR models are also compared. Conclusions: Through simulations, we determined that among the studied environmental factors, precipitation showed the strongest correlation with the transmission dynamics of influenza. Moreover, the SIR+P+T model is the most efficient for simulating the behavioral dynamics of influenza in the area of interest.

      • KCI등재후보

        Excess Deaths During the COVID-19 Pandemic in Southern Iran: Estimating the Absolute Count and Relative Risk Using Ecological Data

        Zakeri Mohammadreza,Mirahmadizadeh Alireza,Azarbakhsh Habibollah,Dehghani Seyed Sina,Janfada Maryam,Moradian Mohammad javad,Moftakhar Leila,Sharafi Mehdi,Heiran Alireza 대한예방의학회 2024 예방의학회지 Vol.57 No.2

        Objectives: The coronavirus disease 2019 (COVID-19) pandemic led to increased mortality rates. To assess this impact, this ecological study aimed to estimate the excess death counts in southern Iran.Methods: The study obtained weekly death counts by linking the National Death Registry and Medical Care Monitoring Center repositories. The P-score was initially estimated using a simple method that involved calculating the difference between the observed and expected death counts. The interrupted time series analysis was then used to calculate the mean relative risk (RR) of death during the first year of the pandemic.Results: Our study found that there were 5571 excess deaths from all causes (P-score=33.29%) during the first year of the COVID-19 pandemic, with 48.03% of these deaths directly related to COVID-19. The pandemic was found to increase the risk of death from all causes (RR, 1.26; 95% confidence interval [CI], 1.19 to 1.33), as well as in specific age groups such as those aged 35-49 (RR, 1.21; 95% CI, 1.12 to 1.32), 50-64 (RR, 1.38; 95% CI, 1.28 to 1.49), and ≥65 (RR, 1.29; 95% CI, 1.12 to 1.32) years old. Furthermore, there was an increased risk of death from cardiovascular diseases (RR, 1.17; 95% CI, 1.11 to 1.22).Conclusions: There was a 26% increase in the death count in southern Iran during the COVID-19 pandemic. More than half of these excess deaths were not directly related to COVID-19, but rather other causes, with cardiovascular diseases being a major contributor.

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