Wyniki wyszukiwania - Biblioteka Nauki

1

A Risk Assessment Model of Flood Based on Information Diffusion Method and BP Neural Network

100%

Chen J. , Jin Q. , Wang H. , Zhao S.

Przegląd Elektrotechniczny

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2012

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tom R. 88, nr 9b

33-36

EN

Climate change has caused more frequent floods in China which have already resulted in huge losses. Thus flood risk assessment and management is an important research topic. In this paper, a new model of flood risk assessment is proposed based on the information diffusion theory and the back propagation (BP) neural network. Due to the fact that flood statistics data are relatively short and often insufficient for flood risk assessment, the information diffusion method can transform imperfect flood historical data from a point in a traditional data sample to a fuzzy data set and obtain optimized data sample. Then, the optimized data are used to train neural networks with back propagation and can improve neural network adaptive ability. The flood data of Dongting Lake’s different encirclement dikes are used to assess the flood risk of Dongting Lake with the proposed model in this research. The results are consistent with the actual situation of Dongting Lake area, which thus verifies the model’s effectiveness for flood risk management. This method can be easily applied to effectively resolve problems of insufficient samples in flood risk assessment.

PL

W artykule zaprezentowano nowy model oceny ryzyka powodzi bazujący na teorii dyfuzji informacji I wykorzystujący sieci neuronowe. Dane statystyczne o powodziach są relatywnie krótkie i często niewystarczające do oceny ryzyka. W pierwszym etapie przetwarza się dane historyczne do otrzymania bardziej kompletnych danych. Te dane wykorzystane są do trenowania sieci neuronowych.

2

Vertical distributions of phosphorus fractions in sediments of three typical shallow urban lakes in P.R. China

88%

Chao W. , Jin Q. , Zhi-yong G. , Li Z. , Xiao-chen L.

Polish Journal of Environmental Studies

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2008

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tom 17

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nr 1

155-162

EN

Sediment cores were sampled from three typical shallow urban lakes in China. The Standards, Measurements and Testing (SMT) programme, proposed by the European Commission, was employed to characterize the vertical distributions of phosphorus fractions in sediment profiles. The results showed that TP contents ranged from 1,198.9 to 1,897.3, 1,289.1 to 1,652.1, and 611.7 to 760.3 mg kg⁻¹ in sediment profiles of Daming Lake, Mochou Lake, and Xuanwu Lake, respectively. Within the 50-cm sediment profiles, phosphorus distributed mainly in IP, and the OP contents only accounted for 9.7%-16.3% of TP. For IP in sediments, the AP was the predominant fraction for Daming Lake and Mochou Lake, accounting for 92.8%, and 71.4%, respectively. While for Xuanwu Lake the proportion of NAIP to IP was higher than that of AP (41.7%±6.0%), indicating that the Xuanwu Lake was polluted more heavily than the other two lakes. The phosphorus concentration in pore-water (TDP) correlated significantly to the P fractions in sediments, especially to the OP and NAIP contents, which could be predicted by: TDP (mg L⁻¹) = 0.005 OP (mg kg⁻¹) – 0.001 NAIP (mg kg⁻¹) + 0.138 (R² = 0.836, P<0.01). The physicochemical properties of sediments presented significant correlation to the contents of P fractions, highlighting the importance of the physicochemical properties of sediments for the phosphorus fraction distributions in lake sediments.

3

Fluorescence resonance energy transfer between two luminescent quantum dots using papain as a bridging molecule

75%

Ma Q. , Wang X. , Li G. , Li Y. , Su X. , Jin Q.

Chemia Analityczna

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2007

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tom Vol. 52, No. 2

295-306

EN

QDs-protein conjugates were prepared using papain as a binding molecule. Papain was attached to two different luminescent colloidal semiconductor quantum dots (QDs) via electrostatic self-assembling. Formation of bioconjugates was reflected in fluorescence resonance energy transfer (FRET) between QDs. Luminescence of the green-emitting QD was quenched, whereas emission of the yellow-emitting QD was enhanced. FRET efficiency and donor-acceptor distance were calculated. The influence of ionic strength, pH, and the presence of unlabeled mouse IgG on FRET of QD(G)-papain-QD(Y) bioconjugate has been studied.

PL

Otrzymano związki sprzężone QDs - białko stosując jako cząsteczkę wiążącą papainę. Papaina została połączona w wyniku elektrostatycznego samopołączenia z dwoma koloidalnymi, półprzewodnikowymi kropkami kwantowymi (QDs) o różnej luminescencji. Utworzenie biosprzężenia było sygnalizowane fluorescencyjnym, rezonansowym przeniesieniem energii (FRET) między QDs. Luminescencja QD(G) emitującej zielone światło była gaszona, podczas gdy luminescencja QD(y) emitującej żółte światło była wzmacniana. Obliczono wydajność procesu FRET oraz odległość między donorem i akceptorem. Zbadano wpływ siły jonowej, pH oraz obecności nie oznakowanego białka IgG myszy na FRET biosprzężenia QD(G) - papaina - QD(Y).

4

Estimation of rice neck blasta severity using spectral reflectance based on BP-neural Network

75%

Zhang H. , Hu H. , Zhang X. , Zhu L. , Zheng K. , Jin Q. , Zeng F.

Acta Physiologiae Plantarum

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2011

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tom 33

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nr 6

EN

Estimation of rice disease using spectral reflectance is important to non-destructive, rapid, and accurate monitoring of rice health. In this study, the rice reflectance data and disease index (DI) were determined experimentally and analyzed by single wave correlation, regression model and neural network model. The result showed that raw spectral reflectance and first derivative reflectance (FDR) difference of the rice necks under various disease severities is clear and obvious in the different spectral regions. There was also significantly negative or positive correlation between DI and raw spectral reflectance, FDR. The regression model was built with raw and first derivative spectral reflectance, which was correlated highly with the DI. However, due to rather complicated non-linear relations between spectral reflectance data and DI, the results of DI retrieved from the regression model was not so ideal. For this reason, an artificial neural network model (BP model) was constructed and applied in the retrieval of DI. For its superior ability for solving the nonlinear problem, the BP model provided better accuracy in retrieval of DI compared with the results from the statistic model. Therefore, it was implied that the rice neck blasts could be predicted by remote sensing technology.

5

Effects of watering regime and nitrogen application rate on the photosynthetic parameters, physiological characteristics, and agronomic traits of rice

75%

Cao X. , Zhong C. , Sajid H. , Zhu L. , Zhang J. , Wu L. , Jin Q.

Acta Physiologiae Plantarum

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2017

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tom 39

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nr 06

6

GP5 protein - based ELISA for the detection of PRRSV antibodies

75%

Wang Y. , Guo J. , Qiuao S. , Li Q. , Yang J. , Jin Q. , Zhang G.

Polish Journal of Veterinary Sciences

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2016

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tom 19

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nr 3

EN

Porcine reproductive and respiratory syndrome virus (PRRSV) is an important swine pathogen, causing huge economic losses each year worldwide. Immunization with vaccines containing the glycoprotein 5 (GP5) of PRRSV is the main measure to induce neutralizing antibodies and control the disease. Here, we developed a GP5 protein-based ELISA for detecting antibodies against PRRSV. The overall yield of purified GP5 in E. coli flask culture was more than 45 mg/L cell culture. Western blot and IFA indicated that the GP5 protein was highly immunogenic. After optimization and validation with IDEXX PRRS using 566 clinical sera, the DSN, DSP, and accuracy of GP5-ELISA were 81.39%, 75.96%, and 80.39%, respectively. Besides, GP5-ELISA is highly specific, showing no cross-reactions with sera against other important swine pathogens. Hence, GP5 is a good diagnostic antigen and the GP5 protein-based ELISA has the potential to be used in the field

7

Molecular cloning, bioinformation analysis and expression of the strictosidine synthase in Dendrobium officinale

63%

Zhu Y.-F. , Fan H.-H. , Li D.-H. , Jin Q. , Zhang C.-M. , Zhu L.-Q. , Song C. , Cai Y.-P. , Lin Y.

Acta Scientiarum Polonorum. Hortorum Cultus

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2020

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tom 19

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nr 3

EN

The enzyme strictosidine synthase (STR, EC: 4.3.3.2) plays a key role in the biosynthetic pathway of terpenoid indole alkaloid (TIA). It catalyzes the condensation of the tryptamine and secologanin to form 3α(S)-strictosidine, which is the common precursor of all TIAs. In this paper, a STR gene designated as DoSTR (GenBank: KX068707) was first cloned and characterized from Dendrobium officinale with rapid amplified cDNA ends method (RACE). DoSTR has a length of 1380bp with 1179bp open reading frame encoding 392 amino acids. BlastP analyses showed that its amino acid sequence was classified into Str_synth superfamily. qRT-PCR showed that DoSTR was expressed in all tissues tested, with a significantly higher level in flower and the lowest in stem. Four different treatments with MeJA, SA, ABA and AgNO₃, respectively, could induce the DoSTR expression to a different extent. And the effect of MeJA was the most obvious and transcript level of DoSTR induced by MeJA was 20.7 times greater than that of control at 48 hours after treatment. Furthermore, it was found that DoSTR was localized in vacuole through transient expression in tobacco. The characterization and expression of DoSTR can help in further studying the role of DoSTR in the biosynthesis of TIAs in D. officinale. This study may throw light on the alkaloid biosynthesis pathway of D. officinale.

8

Beta-carotene as a dietary factor affecting expression of genes connected with carotenoid, vitamin A and lipid metabolism in the subcutaneous and omental adipose tissue of beef cattle

63%

Wei C. , Tan X. , Liu G. , Wan F. , Zhao H. , Zhang C. , You W. , Liu X. , Zhang X. , Jin Q.

Journal of Animal and Feed Sciences

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2020

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tom 29

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nr 1