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Institution

Kharazmi University

EducationTehran, Iran
About: Kharazmi University is a education organization based out in Tehran, Iran. It is known for research contribution in the topics: Membrane & Supply chain. The organization has 3395 authors who have published 5321 publications receiving 45645 citations. The organization is also known as: Tarbiat Moallem University of Tehran & Teacher Training University.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the roles of positive and negative affect in well-being were studied in two different societies, namely the Iranian and the Swedish, and the results showed that, whereas there was no difference between Iranian and Swedish participants in their general level of life satisfaction, differences with regard to positive or negative affect were found.
Abstract: The roles of positive and negative affect in well-being were studied in two different societies, namely the Iranian and the Swedish. A total of 606 university students (296 Iranian and 310 Swedish) participated in the study. The results showed that, whereas there was no difference between Iranian and Swedish participants in their general level of life satisfaction, differences with regard to positive and negative affect were found. Swedish participants had more positive affect, whereas Iranian participants had more negative affect. In the Swedish sample, the most predictive factor of flourishing was positive affect, while there was a balance affect (between positive and negative affects) in the Iranian sample. The results are discussed from a individualistic–collectivistic perspective.

33 citations

Journal ArticleDOI
TL;DR: The results suggest that visfatin via its antiapoptotic properties has significant neuroprotective effects on cerebral ischemia reperfusion injury in rats.

33 citations

Journal ArticleDOI
TL;DR: In this paper, high refractive and solution processable polyamides (PAs) were synthesized by the introduction of thiazole rings, naphthalene groups, and thioether linkages.
Abstract: Highly refractive and solution processable polyamides (PAs) were synthesized by the introduction of thiazole rings, naphthalene groups, and thioether linkages. These PAs were synthesized by the polycondensation of a new diamine monomer, 5,5′-thiobis(2-amino-4-(2-naphthyl)thiazole) (DA), with various aromatic diacids. The bulky pendant naphthyl units endowed the resulting PAs with non-coplanar structures and excellent solubilities in organic solvents. The obtained PAs showed high thermal stability, with 10% weight loss temperatures exceeding 478 °C under nitrogen and 431 °C in air atmosphere, while their glass transition temperatures were in the range of 194–229 °C. The synergic effects of the thiazole groups, naphthyl substituents, and thioether linkages provided PAs with very high refractive indices of up to 1.7701 at 632.8 nm, along with small birefringences (<0.0076) and high Abbe's numbers. The structure–property relationships of these PAs due to the presence of naphthyl substituents were also studied in detail by comparing the results with the previously reported analogous PAs.

33 citations

Journal ArticleDOI
TL;DR: There is an inverse association between Obesity and overweight with suicide mortality and attempted suicide, and positive association between obesity and overweightWith suicidal ideation, and the role of BMI in suicide is indicated.

33 citations

Proceedings ArticleDOI
03 Mar 2015
TL;DR: A novel content-based image retrieval (CBIR) schema with wavelet and color features followed by ant colony optimization (ACO) feature selection has been proposed and results show that the precision and recall of the proposed schema are higher than older ones for the majority of image categories.
Abstract: A novel content-based image retrieval (CBIR) schema with wavelet and color features followed by ant colony optimization (ACO) feature selection has been proposed in this paper. A new feature extraction schema including texture features from wavelet transformation and color features in RGB and HSV domain is proposed as representative feature vector for images in database. Also, appropriate similarity measure for each feature is presented. Retrieving results are so sensitive to image features used in content-based image retrieval. We address this problem with selection of most relevant features among complete feature set by ant colony optimization based feature selection. To evaluate the performance of our proposed CBIR schema, it has been compared with older proposed systems, results show that the precision and recall of our proposed schema are higher than older ones for the majority of image categories.

33 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202314
202276
2021734
2020803
2019745
2018611