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A model for selecting green suppliers through interval-valued intuitionistic fuzzy multi criteria decision making models

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Journal of Management Analytics 2022年第1期9卷 60-85页

作者： seyedeh saeedeh mohammadi Adel Azar Ali Rajabzadeh Ghatari Moslem Alimohammadlou Faculty of Management and Economics Tarbiat Modares UniversityTehranIran Management Department Shiraz UniversityEram Campus of Shiraz UniversityShirazIran

This study sought to construct a model for selecting green *** study was conducted in three phases:in phase 1,the literature was reviewed based on the meta-synthesis method and experts’opinions were analyzed to create a model composed of 11 dimensions and 40 criteria for selecting green *** phase 2,intuitionistic fuzzy best-worst method was used to weight the dimensions and *** most important dimension was“green image”and the most important criteria were the“environmental protection system”and a good“public image.”In phase 3,four suppliers in the field of medical equipment were assessed and *** study proposed a framework for selecting green supplier selection(GSC)and could prove to be more comprehensive than the existing models as it drew on the meta-synthesis *** innovation of the study was its reliance on the intuitionistic fuzzy set theory to overcome ambiguities in selecting suppliers.

关键词： green supplier best-worst method MULTIMOORA intuitionistic fuzzy

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Comparison of Spatial Interpolation Methods for Gridded Bias Removal in Surface Temperature Forecasts

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Journal of Meteorological Research 2017年第4期31卷 791-799页

作者： seyedeh Atefeh mohammadi Majid AZADI Morteza RAHMANI Technology Development Institute Tehran 13445-686 Iran Atmospheric Science and Meteorological Research Center Tehran 16385-14977 Iran Faculty of Basic and Advanced Technologies in Biology University of Science and Culture Tehran 14619-68151 Iran

All numerical weather prediction（NWP） models inherently have substantial biases, especially in the forecast of near-surface weather variables. Statistical methods can be used to remove the systematic error based on historical bias data at observation stations. However, many end users of weather forecasts need bias corrected forecasts at locations that scarcely have any historical bias data. To circumvent this limitation, the bias of surface temperature forecasts on a regular grid covering Iran is removed, by using the information available at observation stations in the vicinity of any given grid point. To this end, the running mean error method is first used to correct the forecasts at observation stations, then four interpolation methods including inverse distance squared weighting with constant lapse rate（IDSW-CLR）, Kriging with constant lapse rate（Kriging-CLR）, gradient inverse distance squared with linear lapse rate（GIDS-LR）, and gradient inverse distance squared with lapse rate determined by classification and regression tree（GIDS-CART）, are employed to interpolate the bias corrected forecasts at neighboring observation stations to any given location. The results show that all four interpolation methods used do reduce the model error significantly,but Kriging-CLR has better performance than the other methods. For Kriging-CLR, root mean square error（RMSE）and mean absolute error（MAE） were decreased by 26% and 29%, respectively, as compared to the raw forecasts. It is found also, that after applying any of the proposed methods, unlike the raw forecasts, the bias corrected forecasts do not show spatial or temporal dependency.

关键词： spatial interpolation bias correction lapse rate Kriging classification and regression tree

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Effects of Boiled Dill Seed on Anxiety During Labor: A Randomized Controlled Trial

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Chinese Journal of Integrative Medicine 2020年第2期26卷 100-105页

作者： seyedeh-Fatemeh Hekmatzadeh Fatemeh Bazarganipour Helen Allan Shahintaj Aramesh Jamshid mohammadi Medicinal Plant Research Center Yasuj University of Medical SciencesYasujIran Centre for Critical Research in Nursing&Midwifery School of Health&EducationMiddlesex Un iversityLondon UK Department of Gyn ecology and Obstetrics Yasuj University of Medical SciencesYasujIran

Objective:To evaluate the effect of boiled dill seed(Anethum graveolens)on anxiety during childbirth compared with ***:This study was a randomized controlled trial with 100 pregnant women who were assigned to the oxytocin(50 cases)and the boiled dill seed(50 cases)group by a table of random *** the boiled dill seed group,10 g of dill seed was boiled in 100 mL for 10 min and was given to women after filtration once orally at the beginning of active *** the oxytocin group,10 IU of oxytoci n in 1000 mL of Rin ger soluti on was prescribed accordi ng to the clinical routi *** State-Trait An xiety Inventory(STAI)in both groups before(at the beginning of the active phase)and after(6 h after the delivery)was ***,pain intensity and duration of labor,dilatation and effacement scores,Apgar score of newborns,and FHR were measured and ***:No statistically significant differences were shown in obvious anxiety scores between the two groups at baseline(P>0.05).After the delivery,in the boiled dill seed group,the number of women with severe[0 vs.8.0%(4/50)]and almost severe[0 vs.14.0%(7/50)]trait and almost severe[0 vs.14.0%(7/50)]state anxiety was lower than those in the control group(P=0.050,P=0.041,respectively).Moreover,labor was shorter in the 1st(P<0.01),2nd(P=0.78)and 3rd(P=0.10)stages in the boiled dill seed group compared to the control ***:Dill seed could be used as an effective treatment to reduce anxiety during *** seed can be effective in reducing the length of *** to lack of maternal and fetal complications,the boiled dill seed could also be used to reduce cesarean section rates in women who are fearful and anxious of delivery.(RCT Code:IRCT201607177065N2).

关键词： dill seed Anethum graveolens oxytocine anxiety delivery pain

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The Effect of Luteal-Phase Support with Triptrolin Administration on Implantation and Clinical Pregnancy Rate in Assisted Reproductive Technology

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Open Journal of Obstetrics and Gynecology 2017年第5期7卷 571-580页

作者： Marzieh Aghahosseini Ashraf Alleyassin Leili Safdarian saeedeh Gharahjeh Hojat Saeidi Fatemeh Sarvi Sedigheh Hosseini Nooshin mohammadi Golamreza Roshandel Jalal Gharajeh Department of Infertility Tehran University of Medical Sciences Tehran Iran Department of Perinatology Tehran University of Medical Sciences Tehran Iran Golestan Research Center of Gastroenterology and Hepatology Golestan University of Medical Sciences Golestan Iran

Background: Luteal phase support with GnRH agonist administration has been shown to be effective in improving the outcome of assisted reproductive technology. The goal of this study was to evaluate the effect of single dose Triptrolin (a GnRH agonist) on the probability of the clinical pregnancy rate following embryo transfer (ET) in assisted reproductive techniques (ART). Methods: In this double blinded randomized clinical trial, 340 infertile women who were candidates for intra-cytoplasmic sperm injection (ICSI) were randomly assigned to receive GnRH agonist (Triptrolin) in the luteal phase or placebo. In the intervention group, 0.1 mg Triptrolin was injected subcutaneously, while the control group received normal saline. The clinical pregnancy and implantation rate were compared between the two groups using chi-2 and t-test. P-values less than 0.05 were considered significant. The registration number of this clinical trial is IRCT 2014030916912N1. Results: Administration of 0.1 mg Triptrolin on day 6 after oocyte pick up showed no superiority over placebo in implantation (16.9% - 14%, P = 0.40) and clinical pregnancy rates (32% - 29%, P = 0.66), but the rate of clinical pregnancy was higher in women who were below 27 years of age and those with PCO. Conclusion: Administration of Triptrolin was not superior to placebo for luteal phase support.

关键词： Luteal Phase Support GnRH Agonist Implantation Rate Clinical Pregnancy

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