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Feedstuff intake plays key role in impacting the yield and quality of milk. In this study, we discussed the contents of trace metal elements in cow milk impacted by different feedstuffs. We detected the contents of Pb, Cd, As, Cu, Mg, Ca, Fe and Zn in different feedstuffs and milk by atomic absorption spectrophotometry. The determinations of Pb, Cd and As contents were by graphite furnace AAS and...
Prolactin (PRL) is a versatile signaling molecule and regulates a variety of physiological processes, including mammary gland growth and differentiation and the synthesis of milk proteins. While PRL is known to be necessary for high levels of milk protein expression, the mechanism by which the synthesis of milk proteins is stimulated at the transcript level is less known. A major modification in the...
To investigate the potential effects of Vaccaria segetalis, we employed the proteomic approach on the dairy cow mammary gland epithelial cells (DCMECs). A total of 35 differentially expressed nuclear proteins were visualized by 2-DE and silver nitrate staining. Of these, five proteins also displayed significant expression changes upon treatment of the water decoction from Vaccaria segetalis, and such...
Soybean meal (SBM) is commonly used for livestock feeds, but its application in diets for livestock is limited due to some antinutritional factors. The contents of methionine and lysine of soybean meal were promoted by Bacillus natto and Leuconostoc mesenteroides fermentation, benefial for the livestock feeds. It was crude protein (CP) 56.8%, methionine 43.56 mg • g −1 , and lysine 74.87 mg...
Transmit beamforming design for Multiple Input Multiple Output (MIMO) array is studied. The performance of narrowband transmits beamforming design methods is detailed discussed through simulations. Aiming at wideband transmit beamforming design; suppose each sensor transmits at the same power level, three criteria namely conventional least square beampattern matching, minimum targets azimuth cross-correlation...
Aiming at the requirement of fast frequency estimation for high-speed underwater acoustic communication, an improved algorithm for fast frequency estimation with short sequences is proposed based on the algorithm of three-point self-correlation. Increasing a sampling data is adopted for the improved algorithm of fast frequency estimation. The precision of frequency estimation is improved, but the...
Cognitive radio, as a prominent technology to solve frequency scarcity by dynamical spectrum access, attract many research interests. In order to fill voids in the wireless spectrum while cleverly avoid interference to the existing communication system, real-time spectrum sensing is quite necessary for a cognitive radio system. Through study about performance of energy detection, it finds that the...
This paper presents an improved autoregressive (AR) prewhitening method for linear frequency modulation (LFM) reverberation in shallow sea to enhance the target signal. This method transforms the linear varying frequency in LFM reverberation to stationary frequency components using frequency focusing transformation, the local stationarity of reverberation is enhanced, and the prewhitening performance...
Feature extraction of ship radiated noise is the key technique for underwater passsive detection system to recognize and classify the targets. Aiming for this, this paper studies the technique on the real-time feature extraction of continuous and line spectrums and engineering realization based on the power spectrum of radiated noise.The technique, on the basis of segmented fitting algorithm, firstly...
The underwater acoustic channel poses many obstacles to sound propagation. Especially, when sound propagates over a long range (>80 Km), it will always encounter an extremely complicated environment with multi sound-speed profiles and water depth varying with range. In such a case, the channel characteristics vary a lot from the flat bottom one. Based on the analysis of optimum propagation frequence,...
In this paper, conditions and methods of ARMA model's establishment and prediction were detailed analyzed, which were based on correlation characteristics of sample failure data. Because model parameters getting from moment estimation (ME) was very rough to small sample, particle swarm optimization (PSO) algorithm was used in maximum likelihood estimation (MLE) to obtain optimal numerical solutions...
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