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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: Earth Observation and Geomatics Engineering
- نوع مقاله: Journal Article
- کلمات کلیدی: GIS,Agent-based model,Forest fire prediction
- چکیده:
- چکیده انگلیسی: In recent years, forest fires have increased drastically due to global warming. Forest fire prediction is the best way to control the spread of fire. Therefore, several studies have focused on developing models that predict the behavior of forest fires. Predicting fire spread and its behavior is crucial to mitigate the adverse effects on weather conditions, environment, and human activities. Improving forest fire prediction using higher quality data can be expensive. In some cases, obtaining or even precise estimation of these data is difficult. On the other hand, using prediction models are more reasonable and feasible to increase prediction accuracy. In this paper, we introduced a novel Belief-Desire-Intention (BDI) agent-based model to predict the behavior of forest fires in the Mazandaran region in the north of Iran. This paper attempted to map the concepts of BDI agent architecture into generic GIS. A novel BDI-GIS model was then proposed in which an agent’s belief, desire, and intention were defined based on spatial or non-spatial data and GIS functions. Therefore, an agent-based model was developed to determine the prediction of forest fires and implemented it on a real dataset. The experimental results showed that the proposed model could be successfully applied to the real-world scenarios with a Kappa Coefficient of more than 68.2%.
- انتشار مقاله: 19-11-1397
- نویسندگان: Saeed Behzadi,Zahra Mousavi
- مشاهده
- جایگاه : پژوهشی
- مجله: Asia Pacific Journal of Medical Toxicology
- نوع مقاله: Journal Article
- کلمات کلیدی: Gas chromatography,Weight loss,Illicit Drugs,Mass Spectroscopy,Obesity
- چکیده:
- چکیده انگلیسی: Introduction: Given the growing prevalence of obesity in industrial societies including Iran, there is a growing demand for herbal weight loss drugs. Taking into account the heavy advertisements to sell the capsule as an herbal medicine, the present study was conducted in 2012 to determine the effective substance of prevalent super slim weight loss capsule.
Methodology: Twenty-six super slim capsules were purchased from Tehran-based pharmacies and herbal medicine shops in 2012. Afterwards, 0.5 gram of the samples was solved in 2.5ml methanol. The samples were filtered and brought up to the volume by adding 5ml of ethanol and placed in an ultrasound device for 30min. 50µl zolpidem was then added as an internal standard. From each sample, 30µl was injected into high performance liquid chromatograph at mobile phases including water, methanol, and triethylamine at volumetric ratios of (0.5+79.5+20v/v/v, pH=5.65) and the obtained peaks were analyzed after 30mins.
Findings:The results showed that prevalent super slim weight loss capsules found in Iran market were not herbal based and the effective substances were synthetic compounds known as sibutramine and mirtazapine. The results of quantitative analysis of the samples showed that pharmaceutical concentration of sibutramine in the capsules ranged from 33.51µg/ml to 286.78µg/ml. In addition, pharmaceutical concentration of sibutramine in the capsules ranged from 33.51µg/ml to 286.78µg/ml – pharmaceutical variables (placebo).
Conclusion:Despite the claims and advertisements by the producers, the drug is not herbal based and contains illicit compounds. Therefore, it is essential to improve transparency in the assessments of the damages caused by weight loss drugs.- انتشار مقاله: 21-07-1397
- نویسندگان: Maryam Akhgari,Bahman Haj Mohammadi,Farzaneh Jokar,Zahra Mousavi
- مشاهده
- جایگاه : پژوهشی
- مجله: Advances in Environmental Technology
- نوع مقاله: Journal Article
- کلمات کلیدی: Adsorption Isotherm,chicken feather,keratin nanoparticle,biosorbent,Cu(II) removal
- چکیده:
- چکیده انگلیسی: A straightforward procedure to synthesize keratin nanoparticles (KNP) from chicken feathers was introduced. The characterization of the synthesized nanoparticles was done using Fourier transform infrared (FTIR) spectroscopy, dynamic light scattering (DLS), X-ray diffraction (XRD) patterns and transmission electron microscopy (TEM). The FTIR analysis revealed no significant chemical change after the nanoparticle synthesis. TEM imaging indicated the synthesis of KNPs with a spherical morphology and mean size of 42 nm. The DLS results indicated that the synthesized KNPs were stable in aqueous media by having a zetapotential of lower than -30 mV. The produced KNPs were then evaluated for the biosorption of Cu (II) from aqueous solutions. The analyzed adsorption isotherm data revealed the change from a Redlich-Peterson isotherm to a Langmuir one by increasing the biosorbent dosage, which could be attributed to the more prepared adsorption sites. The experiments of the effect of the biosorbent dosage suggested the best removal at a KNP dose of 3.0 g/L. At this dosage, the maximum Cu (II) adsorption capacity and Langmuir constant were 50 mg/g and 10.8×10-3 L/mg, respectively; the adsorption kinetic followed the pseudo-second order model.
- انتشار مقاله: 16-03-1397
- نویسندگان: Seyedeh Zahra Mousavi,Mehrdad Manteghian,Seyed Abbas Shojaosadati,Hassan Pahlavanzadeh
- مشاهده