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Taiyuan, China

Taiyuan Normal University is a university in Shanxi, China under the authority of the provincial government. Taiyuan Normal University is a teaching University. It provides graduates to fill China's growing need for primary, secondary and tertiary teachers. Wikipedia.

Ren S.,Beijing University of Chemical Technology | Hou Y.,Taiyuan Normal University | Tian S.,Beijing University of Chemical Technology | Chen X.,Beijing University of Chemical Technology | Wu W.,Beijing University of Chemical Technology
Journal of Physical Chemistry B | Year: 2013

As a kind of novel and efficient material, ionic liquids (ILs) are used for capture of acidic gases including SO2 and CO2 from flue gas. Due to very low content of acidic gases in flue gas, it is important to find functional ILs to absorb the acidic gases. However, up to now, there is no criterion to distinguish if the ILs are functional or not before use, which greatly influences the design of functional ILs. In this work, a series of ILs were synthesized and used to determine functional or normal ILs for the capture of acidic gases. It has been found that the pKa of organic acids forming the anion of ILs can be used to differentiate functional ILs from normal ILs for the capture of acidic gases from flue gas. If the pKa of an organic acid is larger than that of sulfurous acid (or carbonic acid), the ILs formed by the organic acid can be called functional ILs for SO2 (or CO2) capture, and it can have a high absorption capacity of SO 2 (or CO2) with low SO2 (or CO2) concentrations. If not, the IL is just a normal IL. The pKa of organic acids can also be used to explain the absorption mechanism and guide the synthesis of functional ILs. © 2013 American Chemical Society. Source

Li R.H.,Taiyuan Normal University
Zhongguo ji sheng chong xue yu ji sheng chong bing za zhi = Chinese journal of parasitology & parasitic diseases | Year: 2012

To evaluate the efficacy of albendazole (ABZ) orally administered at different dosages against Trichinella spiralis encapsulated larvae in striated muscle in mice. A total of 72 BALB/c mice were divided equally into 9 groups. Each mouse was infected orally with 50 T. spiralis encapsulated larvae. At the 29th day after infection, albendazole was each orally administered to the mice of the 8 groups with doses of 50, 100, 150, 200, 250, 300, 350, and 400 mg/(kg x d), respectively, once a day at fixed time for 6 d. The control group was untreated. Mice were sacrificed at the 7th day post administration. The encapsulated larvae in diaphragmatic muscle, jugomaxillary muscle and gastrocnemius muscle were examined with pellet method. The encapsulated larva that the capsule was complete and the larva inside curled naturally with clear structure was considered survived. The therapeutic effect was estimated on the average quantity of total, survival and dead encapsulated larvae per gram muscle, total worm reduction and survival worm reduction. The total worm burden and survival worms showed a decreasing trend and the numbers of dead worms increased in diaphragmatic muscle, jugomaxillary muscle and gastrocnemius muscle when the dosage of albendazole were 50-250 mg/(kg x d), but the number of larvae in the muscles remained similar when the dosage of albendazole was greater than 250mg/kg x d. Compared with the control group, the total and survival worms in the muscles in 200 mg/(kg x d) and the greater dose groups decreased significantly (P<0.01). In 250 mg/(kg x d) group the total worm reduction in jugomaxillary muscle, diaphragmatic muscle and gastrocnemius muscle were 50.00%, 62.62% and 57.48%, and the survival worm reduction were 79.96%, 83.25% and 80.56%, respectively. Orally administered to mice for 6 d, albendazole at 250 mg/(kg x d) is a suitable dose against encapsulated larva stage of T. spiralis in muscle. Source

Tian J.-F.,Taiyuan Normal University
Optik | Year: 2011

Based on the nonlinear coupled mode theory, by using the reversely recursive transmission matrix method, the switching characteristics of linearly chirped nonlinear Bragg gratings (LC-NLBG) have been investigated numerically. The results show that, introducing spatial chirp in fiber gratings is helpful to widen the bistable wavelength range, and the influence of the chirp on the switching-on threshold and the on-off ratio of the bistable switching are obvious, the chirp-dependent bistability is due to the difference of the axial distribution of forward wave intensity in the gratings. © 2010 Elsevier GmbH © 2010 Published by Elsevier GmbH. All rights reserved. Source

Pang K.,Beijing University of Chemical Technology | Hou Y.,Taiyuan Normal University | Wu W.,Beijing University of Chemical Technology | Guo W.,Beijing University of Chemical Technology | And 2 more authors.
Green Chemistry | Year: 2012

Ammonium salts have been used to efficiently separate phenols from oils (where hexane, toluene and p-xylene were used as model oils) by forming a deep eutectic solvent, which is a nonaqueous process and avoids the use of mineral alkalis and acids that produces phenol containing waste water. © 2012 The Royal Society of Chemistry. Source

Guo H.,Taiyuan Normal University
Journal of Computers | Year: 2012

The scarce but consistent chance of getting false positive matches [1], [2] in protein database search [3] has always casted a shadow over the reliability of results. The situation can be helped by viewing the protein data from a descriptive and the probabilistic framework, together. Using the conventional approach as the first stage, top down protein data is descriptively searched for proteins and the results are scored and ranked, using a top down protein search engine. We then suggest applying Support Vector Machine, (SVM) as a second stage probabilistic scoring system, to the first stage protein database search results so as to further enhance protein classification. For SVM scoring, features are extracted from the top down data and a feature table is constructed. An SVM using Radial Basis Function is trained with this feature table. Later classification is performed on the test data using this SVM. The classification can then be viewed together with the previously calculated search engine score and a reordering of top ranked proteins may be done. © 2012 ACADEMY PUBLISHER. Source

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