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      • KCI등재

        Comparing the Performance of Dynamical and Statistical Downscaling on Historical Run Precipitation Data over a Semi-Arid Region

        Nasrin Salehnia,Fateme Hosseini,Ali Farid,Sohrab Kolsoumi,Azar Zarrin,Majid Hasheminia 한국기상학회 2019 Asia-Pacific Journal of Atmospheric Sciences Vol.55 No.4

        Precise evaluations of climate model precipitation outputs are valuable for making decisions regarding agriculture, water resource, and ecosystem management. Many downscaling techniques have been developed in the past few years for projection of weather variables. We need to apply dynamical and statistical downscaling (DD and SD) to bridge the gap between the coarse resolution general circulation model (GCM) outputs and the need for high-resolution climate information over a semi-arid region. We compare the requirements of DD (RegCM4) and SD (Delta) approaches, evaluate the historical run of NNRP1 data in comparison with station data, and analyze the changes in wet days and precipitation values through both methods during 1990– 2010. In this study, we did not want to use prediction data under different scenarios of climate change, and we have just applied observed data to assess the amount of precise of NNRP1 data, over the observed period. SD method requires less time and computing power than DD. The DD approach performs better over the evaluation period according to efficiency criteria. In general, the Pearson correlation in DD with observation data in evaluation period was higher than (r > 0.72 and R2 > 0.52) SD (r > 0.65 and R2 > 0.41) over three study stations. Similarly, MAE and NSE show better results from DD relative to SD. SD underestimates the number annual mean wet-days for all three stations examined. DD overestimates a number of annual mean wet-days, but with less deviation from the observed mean.

      • Modeling CO₂ data with effective variables from Antarctic ice core records through Artificial Intelligence

        Nasrin Salehnia,Jinho Ahn 대한지질학회 2021 대한지질학회 학술대회 Vol.2021 No.10

        Analyzing the past abrupt climate change by modeling and reconstruction of atmospheric CO₂ may assist scientists in tracing the climate-carbon cycle feedbacks. Ice cores are the best source of atmospheric CO₂ data for the last 800 thousand years. Recognizing the influential variables that can affect CO₂ changes can help us to detect and simulate CO₂ changes. In this regard, we tried to find a relation between CO₂ with CH₄, δDice (temperature proxy), and δ<SUP>18</SUP>Oice (temperature proxy), and δ<SUP>18</SUP>Ocave deposit (summer monsoon strength) as independent variables. Four methods are implemented in this modeling, namely the multiple linear regression (MLR), stepwise regression (SR), and two Artificial Intelligence (AI) techniques viz., and artificial neural network (ANN). In the first step, to obtain an exact simulation, we constructed data with an equal interval (0.1). Then, in the second step, four mentioned methods were implemented to model CO₂ changes during 20-42 ka (ka = age of thousand years). The training, validation, and test processes were implemented as 70%, 15%, and 15% of the 20-42 ka data. Additionally, in the ANN run, the Levenberg Marquardt training algorithm as the most accurate model among the forms of ANN is used. Finally, the results showed that with R²=0.91, MAE =1.7, and NSE =0.90, the ANN model obtained the best results compared to other methods. Therefore, it represents that the selected model in this research is acceptable. Accordingly, SR (R²=0.88) and MLR (R²=83), respectively, presented the other best performance. This simulation would lead to constructing CO₂ data in other ice core samples. In the future step, we aim to extend our modeling with other AI methods and apply to other ice core records over different past periods. In this way, we would produce highly accurate simulations of CO₂ and fill the gaps for future researches.

      • SCOPUSKCI등재

        Treating Viral Diarrhea in Children by Probiotic and Zinc Supplements

        Ahmadipour, Shokoufeh,Mohsenzadeh, Azam,Alimadadi, Hosein,Salehnia, Mehdi,Fallahi, Arash The Korean Society of Pediatric Gastroenterology 2019 Pediatric gastroenterology, hepatology & nutrition Vol.22 No.2

        Purpose: The aim of this study was to analyze the effects of probiotics and zinc supplements on the mean duration and frequency of acute diarrhea in children aged 6 months to 2 years. Methods: In this clinical trial of infants aged between 6 months and 2 years, eligible patients were divided into 3 groups: Zinc Receiving Group (ZRG), Probiotic Receiving Group (PRG), and a control group receiving supportive care alone. The frequency of diarrhea was evaluated in the test groups during the first 24 hours and 48-72 hours, along with the duration of hospitalization and diarrhea persistence for 3-7 days. Results: Diarrhea persisted for until the third day of admission in 100% of the infants in PRG compared with only 76.1% in ZRG. The relative risk of diarrhea persistence in the PRG was 1.31 times more than in ZRG until the third day. Also, 80% of diarrhea cases in the PRG persisted until the fourth day of admission, compared with 47.8% in the ZRG group, and this value was significant. The relative incidence of diarrhea persistence in the PRG was 36.4 times greater than in the ZRG until the day 4. Also, the percentage of post-treatment complications was 35.5% in the PRG and 2.6% in the ZRG, which was significant. Conclusion: In our study, the effectiveness of zinc at a dose of 20 mg was higher than that of probiotics. The complications associated with zinc supplementation were lower than those of probiotics.

      • KCI등재

        Treating Viral Diarrhea in Children by Probiotic and Zinc Supplements

        Shokoufeh Ahmadipour,Azam Mohsenzadeh,Hosein Alimadadi,Mehdi Salehnia,Arash Fallahi 대한소아소화기영양학회 2019 Pediatric gastroenterology, hepatology & nutrition Vol.22 No.2

        Purpose: The aim of this study was to analyze the effects of probiotics and zinc supplements on the mean duration and frequency of acute diarrhea in children aged 6 months to 2 years. Methods: In this clinical trial of infants aged between 6 months and 2 years, eligible patients were divided into 3 groups: Zinc Receiving Group (ZRG), Probiotic Receiving Group (PRG), and a control group receiving supportive care alone. The frequency of diarrhea was evaluated in the test groups during the first 24 hours and 48–72 hours, along with the duration of hospitalization and diarrhea persistence for 3–7 days. Results: Diarrhea persisted for until the third day of admission in 100% of the infants in PRG compared with only 76.1% in ZRG. The relative risk of diarrhea persistence in the PRG was 1.31 times more than in ZRG until the third day. Also, 80% of diarrhea cases in the PRG persisted until the fourth day of admission, compared with 47.8% in the ZRG group, and this value was significant. The relative incidence of diarrhea persistence in the PRG was 36.4 times greater than in the ZRG until the day 4. Also, the percentage of post-treatment complications was 35.5% in the PRG and 2.6% in the ZRG, which was significant. Conclusion: In our study, the effectiveness of zinc at a dose of 20 mg was higher than that of probiotics. The complications associated with zinc supplementation were lower than those of probiotics.

      • KCI등재

        Investigating the Asymmetric Prices and the Role of Technology and Environmental Constraints in the Oil Demand Function of the Iran Oil Importing Countries

        Reza Darisavi Bahmanshir,Mahdi Khodaparast Mashhadi,Ali Akbar Naji Meidani,Narges Salehnia 대한산업공학회 2018 Industrial Engineeering & Management Systems Vol.17 No.3

        The present study seeks to investigate the oil demand function reversibility of the Iran oil importing countries, taking into account the effect of technology and environmental constraints on the demand of the mentioned countries. In order to reach this goal, the present study evaluated two symmetrical and asymmetric adjustments for oil demand of Iran oil importing countries using data of 1970-2014 period for Iran oil importing countries including France, Germany, Greece, Italy, Japan, Poland, Spain, Turkey, the United Kingdom, South Korea, Czech Republic, the Netherlands and Belgium, Russia, South Africa, China and India. As there was a co-integrated relationship among the variables of mentioned crosssections, Fully Modified Ordinary Least Squares (FMOLS) method of Panel data approach was applied. According to the results of this research, the oil price increase has a negative and significant effect and GDP has a positive and significant effect on the Iran oil importing countries in symmetric and asymmetric models. Through the application of FMOLS cointegrated panel data approach, oil demand of Iran oil importing countries is irreversible. Moreover, R&D as the technology indicator and lag of CO2 as environmental constraints have a significant effect. In one hand, ignoring environmental considerations and pollution increasing in the mentioned countries will decrease the oil demand of Iran and on the other hand, technology indicator and applying modern ones will decrease the oil demand of Iran, too. According to the irreversibility for oil demand of Iran oil importing countries and Iran dependency on oil revenues, it should be attentive in selecting oil importing countries for sustainable source of revenue. The importance of environmental considerations and technological improvements of oil importing countries will be impressive for energy policy makers.

      • KCI등재

        Anatomic evaluation of the posterior superior alveolar artery using cone-beam computed tomography: A systematic review and meta-analysis

        Radmand Faraz,Razi Tahmine,Baseri Milad,Gavgani Leili Faraji,Salehnia Fatemeh,Faramarzi Masoumeh 대한영상치의학회 2023 Imaging Science in Dentistry Vol.53 No.3

        Purpose: This systematic review examined the detection of the posterior superior alveolar artery, along with various anatomic characteristics, on cone-beam computed tomography images. Materials and Methods: Studies were identified electronically through the Web of Science, MEDLINE, Scopus, and Embase databases. The quality of the included studies was evaluated using a 5-item binary scale. The detection rate, location, and classified diameter of the posterior superior alveolar artery were estimated as prevalence values. The diameter of this artery, as well as the distances from the artery to the alveolar crest and sinus floor, were estimated as means with associated 95% confidence intervals. Results: Thirty-seven studies were enrolled, with 34 of these included in the meta-analysis. The mean detection rate was 79% (range: 72%-84%), and the mean diameter was 1.06±0.05 mm (range: 0.96-1.16 mm). The posterior superior alveolar artery was located intraosseously in 64% of cases. The mean distance of the artery from the alveolar crest was 16.71±0.49 mm (range: 15.75-17.68 mm), while the mean distance from the artery to the sinus floor was 8.85±0.4 mm (range: 8.05-9.64 mm). Conclusion: According to the findings of this meta-analysis regarding various anatomic characteristics of the posterior superior alveolar artery, severe hemorrhage after damage to this artery during sinus augmentation procedures is not a substantial clinical problem.

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