Wyniki wyszukiwania - Biblioteka Nauki

1

Differential global genomic changes in rice root in response to low-, middle-, and high-osmotuc stresses

100%

Ma T.

Acta Physiologiae Plantarum

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2009

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tom 31

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nr 4

EN

We used the Affymetrix rice genome array to study the gene expression change in response to low-(T1 treatment), middle- (T2 treatment), and high-osmotic stresses (T3 treatment) in rice root at the transcription level. Our experiment results showed that osmotic stress could induce some genes in rice root with a total of 2,082 genes being regulated transcriptionally by at least one osmotic stress. There was little overlap between the genes responding to the low-, middle-, and high-osmotic stresses. A total of 190 transcripts overlapped among all three osmotic stress treatments with 112 genes being up-regulated and 78 transcripts being down-regulated. A total of 113, 159, and 132 transcription factors (TFs) transcripts were regulated at the transcription level by T1, T2, and T3 treatments, respectively, and the expression of 296 genes encoding TFs was changed in response to at least one osmotic stress treatment. 47, 49, and 32 TFs transcripts overlapped between T1 and T2, T1 and T3, and T2 and T3 treatments, and 20 TFs overlapped among all treatments.

2

Ectopic expression of PvSOC1, a homolog of SOC1 from Phyllostachys violascens, promotes flowering in Arabidopsis and rice

51%

Liu S. , Ma T. , Ma L. , Lin X.

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nr 07

3

Nitrogen Transportation and Transformation Under Different Soil Water and Salinity Conditions

51%

Zeng W. Z. , Ma T. , Huang J. S. , Wu J. W.

Ecological Chemistry and Engineering. S

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2016

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tom Vol. 23, nr 4

677--693

EN

Soil nitrogen transportation and transformation are important processes for crop growth and environmental protection, and they are influenced by various environmental factors and human interventions. This study aims to determine the effects of irrigation and soil salinity levels on nitrogen transportation and transformation using two types of experiments: column and incubation. The HYDRUS-1D model and an empirical model were used to simulate the nitrogen transportation and transformation processes. HYDRUS-1D performed well in the simulation of nitrogen transportation and transformation under irrigated conditions (R2 as high as 0.944 and 0.763 for ammonium and nitrate-nitrogen simulations, respectively). In addition, the empirical model was able to attain accurate estimations for ammonium (R2 = 0.512-0.977) and nitrate-nitrogen (R2 = 0.410-0.679) without irrigation. The modelling results indicated that saline soil reduced the rate of urea hydrolysis to ammonium, promoted the longitudinal dispersity of nitrogen and enhanced the adsorption of ammonium-nitrogen. Furthermore, the effects of soil salinity on the nitrification rate were not obviously comparable to the effects of the amount of irrigation water. Without irrigation, the hydrolysis rate of urea to ammonium decreased exponentially with the soil salinity (R2 = 0.787), although the nitrification coefficient varied with salinity. However, the denitrification coefficient increased linearly with salinity (R2 = 0.499).

4

A Robust Audio Watermarking Scheme using Higher-order Statistics in Empirical Mode Decomposition Domain

45%

Wang W. , Niu P. , Yang H. , Zhang Y. , Ma T.

Fundamenta Informaticae

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2014

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tom Vol. 130, nr 4

467--490

EN

The development of a desynchronization invariant audio watermarking scheme without degrading acoustical quality is a challenging work. This paper proposes a robust audio watermarking scheme in Empirical Mode Decomposition (EMD) domain, in which the higher-order statistics and synchronization code are utilized. Firstly, the wavelet de-noising is performed on the original host audio, the de-noised digital audio is segmented, and then each segment is cut into two parts. Secondly, with the spatial watermarking technique, synchronization code is embedded into the statistics average value of audio samples in the first part. Thirdly, for the second part, EMD is performed, and a series of Intrinsic Mode Functions (IMFs) and a residual are given, and then the higher-order statistics of residual are obtained by using the Hausdorff distance. Finally, the digital watermark is embedded into the residual in EMD domain by using the higher-order statistics. Simulation results show that the proposed watermarking scheme is not only inaudible and robust against common signal processing operations such as MP3 compression, noise addition,resampling, and re-quantization etc, but also robust against the desynchronization attacks such as random cropping, amplitude variation, pitch shifting, and jittering etc.

5

Effect of Salinity on Soil Respiration and Nitrogen Dynamics

45%

Zeng W. Z. , Xu C. , Wu J. W. , Huang J. S. , Ma T.

Ecological Chemistry and Engineering. S

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2013

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tom Vol. 20, nr 3

519--530

EN

A facility of BaPS (Barometric Process Separation) and indoor incubation experiments were used to determine the effect of soil salinity on soil respiration and nitrogen transformation. The rates of soil respiration, gross nitrification, denitrification, ammonium and nitrate nitrogen concentrations and relevant soil parameters were measured. Results showed that soil respiration and nitrification and denitrification rates were all affected by soil salinity. Furthermore, the effect of soil salinity level on nitrification and denitrification rates had a threshold value (EC1:5 = 1.13 dS/m). When soil salinity level was smaller to this threshold value, the rates of nitrification and denitrification increased with soil salinity while they were reduced when soil salinity level was larger than the threshold value. Moreover, the changing law of soil respiration rate with soil salinity was similar with the nitrification and denitrification rates while the variation tendency was opposite. In addition, the transformation form urea to ammonium and nitrate nitrogen was also reduced with the increase of soil salinity and the reduced effect could be expressed by exponential functions.

PL

Proces BaPS (Ciśnieniowy Proces Separacji) oraz inkubacja pokojowa zostały wykorzystane do określenia wpływu zasolenia gleby na jej oddychanie i transformację azotu. Mierzono szybkości: respiracji gleby, całkowitej nitryfikacji i denitryfikacji, a także stężenie azotu amonowego i azotanowego oraz wartości odpowiednich parametrów gleby. Wyniki wykazały, że respiracja glebowa oraz szybkości nitryfikacji i denitryfikacji były uzależnione od zasolenia gleby. Ponadto stwierdzono, że wpływ poziomu zasolenia gleby na szybkość nitryfikacji i denitryfikacji miał wartość progową (EC1:5 = 1,13 dS/m). Gdy poziom zasolenia gleby był mniejszy od tej wartości progowej, szybkości nitryfikacji i denitryfikacji rosły wraz ze wzrostem zasolenia gleby. Jeżeli zasolenie gleby był większe od progowego, to szybkości te malały. Co więcej, zmiany charakteru zależności szybkości respiracji gleby od jej zasolenia były porównywalne z szybkością nitryfikacji i denitryfikacji, podczas gdy tendencja zmian była odwrotna. Ponadto, transformacja mocznika do amoniaku i azotu azotanowego również zmniejszała się przy wzroście zasolenia gleby, a efekt takiego zmniejszania może być wyrażony funkcją wykładniczą.

6

Hyperspectral reflectance models for soil salt content by filtering methods and waveband selection

45%

Zeng W. Z. , Huang J. S. , Xu C. , Ma T. , Wu J. W.

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tom Vol. 23, nr 1

117--130

EN

For improving the understanding of interactions between hyperspectral reflectance and soil salinity, in situ hyperspectral inversion of soil salt content at a depth of 0-10 cm was conducted in Hetao Irrigation District, Inner Mongolia, China. Six filtering methods were used to preprocess soil reflectance data, and waveband selection combined by VIP (variable importance in projection) and b-coefficients (regression coefficients of model) was also applied to simplify model. Then statistical methods of partial least square regression (PLS) and orthogonal projection to latent structures (OPLS) were processed to establish the inversion models. Our findings indicate that the selected sensitive wavebands for the 6 filtering methods are different, among which the multiplicative signal correction (MSC) and standard normal variate methods (SNV) have some similar sensitive wavebands with unfiltered data. Derivatives (DF1 and DF2) could characterize sensitive wavebands along the scale of VNIR (350-1100 nm), especially the second derivative (DF2). The sensitive wavebands for continuum-removed reflectance method (CR) have protruded many narrow absorption features. For orthogonal signal correction method (OSC), the selected wavebands are centralized in the range of 565-1013 nm. The calibration and evaluation processes have demonstrated the second order derivate filtering method (DF2) combined with waveband selection is superior to other processes, for it has high R2 (larger than 0.7) both in PLS and OPLS models for calibration and evaluation, by choosing only 156 wavebands from the whole 700 wavebands. Meanwhile, OPLS method was considered to be more suitable for the analyzing than PLS in most of our situations.

7

Expression of endothelin-1, and endothelin A and B receptors in portal hypertensive esophagus of rats

38%

Ohta M. , Pai R. , Kawanaka H. , Ma T. , Sugimachi K. , Sarfeh I. J. , Tarnawski A. S.

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2000

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tom 51

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nr 1

8

Luminescence properties of novel red-emitting phosphor InNb1-xPxO4:Eu3+ for white light emitting-diodes

32%

Tang A. , Ma T. , Gu L. , Zhao Y. , Zhang J. , Zhang H. , Shao F. , Zhang H.

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tom Vol. 33, No. 2

331--334

EN

InNb1-xPxO4: Eu3+ red phosphors were synthesized by solid-state reaction and their luminescence properties were also studied through photoluminescence spectra. The excitation and emission spectra make it clear that the as-prepared phosphors can be effectively excited by near-ultraviolet (UV) 394 nm light and blue 466 nm light to emit strong red light located at 612 nm, due to the Eu3+ transition of D-5(0) -> F-7(2). The luminescence intensity is dependent on phosphorus content, and it achieves the maximum at x = 0.4. Excessive phosphorus in the phosphors can result in reduction of luminescence intensity owing to concentration quenching. With the increasing content of phosphorus, the phosphors are prone to emit pure red light. This shows that the InNb1.6P0.O-4(4):0.04Eu(3+) phosphor may be a potential candidate as a red component for white light emitting-diodes.

9

Using near infrared spectroscopy to quickly analyze different nitrogens during the shortcut biological removal of nitrogen from a polluted river

32%

Huang J. , Li M. , Zhang H. , Zhang Y. , Liu J. , Sun W. , Ma T. , Xu Y. , Yuan X.

Polish Journal of Environmental Studies

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2019

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tom 28

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nr 4

EN

During shortcut biological nitrogen removal in a polluted river, total nitrogen, ammonia nitrogen and nitrite nitrogen were quantified by near infrared spectroscopy and the synergy interval partial least squares (siPLS) algorithm. Spectral data of 138 water samples were obtained with a near infrared spectrometer. In addition, the real values of total nitrogen, ammonia nitrogen and nitrite nitrogen were measured with traditional chemical methods. SiPLS analysis models of total nitrogen, ammonia nitrogen and nitrite nitrogen were built through the siPLS algorithm based on spectral data and realvalues. The results obtained from the siPLS analysis model of total nitrogen revealed that, when the full spectra were divided into 19 intervals, the combination of the 7th, 12th and 19th subintervals yielded the best model. The correction coefficient (Rp) is 0.9931, with the root mean squared error of calibration (RMSECV) being 1.7869. The results obtained from the siPLS analysis model of ammonia nitrogen indicated that, when the full spectra were divided into 16 intervals, the combination of the 1st, 7th, 15th and 16th subintervals yielded the best model. The Rp is 0.9947 and the RMSECV is 1.3419. For nitrite nitrogen, the siPLS analysis model indicated that, when the full spectra were divided into 16 intervals, the combination of the 7th and the 11th subintervals yielded the best model. The Rp and RMSECV was 0.9951 and 1.0518. These findings demonstrated that the proposed approach may effectively analyze the concentrations of total nitrogen, ammonia nitrogen and nitrite nitrogen during the treatment of a polluted river based on shortcut biological nitrogen removal. This approach,which is based on near infrared spectroscopy, is fast and accurate for the detection of different types of nitrogen in water.