Effects of long-term fertilization on soil gross N transformation rates and their implications

Application of fertilizer has been found to significantly affect soil N cycling. However, a comprehensive understanding of the effects of long-term fertilization on soil gross N transformation rates is still lacking. We compiled data of observations from 10 long-term fertilization experiments and conducted a meta-analysis of the effects of long-term fertilization on soil gross N transformation rates. The results showed that if chemical fertilizers of N, P and K were applied in balance, soil p H decreased very slightly. There was a significantly positive effect of long-term fertilization, either chemical or organic fertilizers or their combinations, on gross N mineralization rate compared to the control treatment（the mean effect size ranged from 1.21 to 1.25 at 95% confidence intervals（CI） with a mean of 1.23）, mainly due to the increasing soil total N content. The long-term application of organic fertilizer alone and combining organic and chemical fertilizer could increase the mineralization-immobilization turnover, thus enhance available N for plant while reduce N losses potential compared to the control treatment. However, long-term chemical fertilizer application did not significantly affect the gross NH4＋ immobilization rate, but accelerated gross nitrification rate（1.19; 95% CI： 1.08 to 1.31）. Thus, long-term chemical fertilizer alone would probably induce higher N losses potential through NO3– leaching and runoff than organic fertilizer application compared to the control treatment. Therefore, in the view of the effects of long-term fertilization on gross N transformation rates, it also supports that organic fertilizer alone or combination of organic and chemical fertilizer could not only improve crop yield, but also increase soil fertility and reduce the N losses potential.

Influence of Heating Rate on Double Reversible Transformation in CuZnAlMnNi Shape Memory Alloy

The influence of heating rate on double reversible transformation in CuZnAlMnNi shape memory alloy was investigated by differential scanning calorimetry. It was found that rapid heating inhibits X -->M transformation but is favorable to the reverse martensite transformation, giving rise to the approach of the two transformation peaks. With the decrease of heating rate, the two transformation peaks separate gradually.

A MODEL FOR BAINITIC TRANSFORMATION KINETICS WITH PARABOLIC NUCLEATION RATE

Based on the assumptions of parabolic variation of nucleation rate versus time and transformation kinetics depending mainly on nucleation rate, a different model for bainitic transformation kinetics in hypoeutectoid steels was established. And this model was proved to be effective in the description of bainitic transformation by comparison with the result of conventional Avrami equation.

Cooling rate effects on the structure and transformation behavior of Cu-Zn-Al shape memory alloys

Different fragments of a hot-rolled and homogenized Cu–Zn–Al shape memory alloy（SMA） were subjected to thermal cycling by means of a differential scanning calorimetric（DSC） device. During thermal cycling, heating was performed at the same constant rate of increasing temperature while cooling was carried out at different rates of decreasing temperature. For each cooling rate, the temperature decreased in the same thermal interval. During each cooling stage, an exothermic peak（maximum） was observed on the DSC thermogram. This peak was associated with forward martensitic transformation. The DSC thermograms were analyzed with PROTEUS software： the critical martensitic transformation start（Ms） and finish（Mf） temperatures were determined by means of integral and tangent methods, and the dissipated heat was evaluated by the area between the corresponding maximum plot and a sigmoid baseline. The effects of the increase in cooling rate, assessed from a calorimetric viewpoint, consisted in the augmentation of the exothermic peak and the delay of direct martensitic transformation. The latter had the tendency to move to lower critical transformation temperatures. The martensite plates changed in morphology by becoming more oriented and by an augmenting in surface relief, which corresponded with the increase in cooling rate as observed by scanning electron microscopy（SEM） and atomic force microscopy（AFM）.

DECAY RATE OF FOURIER TRANSFORMS OF SOME SELF-SIMILAR MEASURES

This paper is concerned with the Diophantine properties of the sequence {ξθn}, where 1 ≤ξ 〈 θ and θ is a rational or an algebraic integer. We establish a combinatorial proposition which can be used to study such two cases in the same manner. It is shown that the decay rate of the Fourier transforms of self-similar measures μλ with λ = θ-1 as the uniform contractive ratio is logarithmic. This generalizes some results of Kershner and Bufetov-Solomyak, who consider the case of Bernoulli convolutions. As an application, we prove that μλ ahaost every x is normal to any base b ≥ 2, which implies that there exist infinitely many absolute normal numbers on the corresponding self-similar set. This can be seen as a complementary result of the well-known Cassels-Schmidt theorem.

Influence of temperature rate on transitory internal friction during reverse martensitic transformation for Ti_(50)Ni_(27)Cu_(23) alloy

Internal friction （IF） spectra during reverse martensitic transformation from 35 to 135°C at different temperature rates of 0.5,0.75,and 1°C/min for Ti50Ni27Cu23 shape memory alloy （SMA） samples were measured with a dynamic mechanical analyzer,respectively.The IF spectra were characterized by IF peak increasing progressively and peak shifting toward high temperature with an increase in temperature rate.An iterative approach was used to calculate the precise intrinsic and approximate transitory IF contributions to the normal IF spectrum.The quantitatively analyzed results indicate that the transitory IF of this alloy is nonlinearly dependent on the temperature rate and obeys a power law with a power coefficient of 0.55.The predicted and experimental IF spectra at different temperature rates of 0.75 and 1°C/min agree well with each other,respectively.

EFFECTS OF TEST TEMPERATURE AND STRAIN RATE ON THE MECHANICAL PROPERTIES IN AN INTERCRITICALLYHEAT-TREATED BAINITE-TRANSFORMED STEEL

Larger amount of austenite could be retained in an intercritically heat-treated bainite- transformed steel. The elongation and the strength-ductility balance of the steel could be enhanced considerably due to strain-induced martensite transformation and transformation- induced plasticity (TRIP) of retained austenite. The effects of test temperature and strain rate on the mechanical properties and strain induced transformation behavior of retained austenite in the steel were investigated. Total elongation and strength-ductility balance of the specimen reached maximum when it strained at a strain rate of 2.8×10-4s-1 and at 350℃. The relation between test temperature and tensile properties showed the same tendency at three kinds of strain rates. Flow stress increased considerably with decreasing the strain rate.

Chirp-Rate Resolution of Fractional Fourier Transform in Multi-component LFM Signal

Distinguishing close chirp-rates of different linear frequency modulation （LFM） signals under concentrated and complicated signal environment was studied. Firstly, detection and parameter estimation of multi-component LFM signal were used by discrete fast fractional Fourier transform （FrFT）. Then the expression of chirp-rate resolution in fractional Fourier domain （FrFD） was deduced from discrete normalize time-frequency distribution, when multi-component LFM signal had only one center frequency. Furthermore, the detail influence of the sampling time, sampling frequency and chirp-rate upon the resolution was analyzed by partial differential equation. Simulation results and analysis indicate that increasing the sampling time can enhance the resolution, but the influence of the sampling frequency can he omitted. What＇s more, in multi-component LFM signal, the chirp-rate resolution of FrFT is no less than a minimal value, and it mainly dependent on the biggest value of chirp-rates, with which it has an approximately positive exponential relationship.

基于Transformer的生物质流化床快速热解瞬时流率预测

传统的生物质流化床快速热解实验需要投入大量的时间和经济成本,因此,CFD模拟已经成为研究快速热解的主要工具。但大型反应器或宽操作条件下的CFD模拟仍需要大量的计算资源,所以为了进一步节省时间和经济成本,使用PaddleTS的Transformer深度学习模型对CFD模拟中的生物质流化床快速热解瞬时流率数据进行了训练和预测。首先,将收集到的CFD数据输入Transformer模型中进行训练。为了优化模型性能,对多个参数进行了调整,包括学习率、输入输出长度、向量维度、多头注意力头数、编码器和解码器层数等。为了进一步提升模型的泛化能力,还使用了L2正则化以降低过拟合风险。最终所获得的模型预测结果较为理想,表明了Transformer模型在处理生物质流化床快速热解瞬时流率预测方面的有效性和潜力。

Very Low Bit-Rate Video Coding Based on Wavelet Transform

Two video coding schemes based on wavelet transform achieving very low bit rate are presented in this paper. The first is a hybrid motion compensated wavelet transform(MC WT)system which behaves better at very low bit rates than the block DCT residual coder. The second is a new efficient coding system based on a simple frame differencing wavelet transform(FD WT)which performs well in both PSNR and visual quality with substantially reduced complexity.

Improvement of Misclassification Rates of Classifying Objects under Box Cox Transformation and Bootstrap Approach

Discrimination and classification rules are based on different types of assumptions. Also, all most statistical methods are based on some necessary assumptions. Parametric methods are the best choice if it follows all the underlying assumptions. When assumptions are violated, parametric approaches do not provide a better solution and nonparametric techniques are preferred. After Box-Cox transformation, when assumptions are satisfied, parametric methods provide fewer misclassification rates. With this problem in mind, our concern is to compare the classification accuracy of parametric and non-parametric approaches with the aid of Box-Cox transformation and Bootstrapping. We carried Support Vector Machines (SVMs) and different discrimination and classification rules to classify objects. The attention is to critically compare the SVMs with Linear discrimination Analysis (LDA), and Quadratic discrimination Analysis (QDA) for measuring the performance of these techniques before and after Box-Cox transformation using misclassification rates. From the apparent error rates, we observe that before Box-Cox transformation, SVMs perform better than existing classification techniques, on the other hand, after Box-Cox transformation, parametric techniques provide fewer misclassification rates compared to nonparametric method. We also investigated the performances of classification techniques using the Bootstrap approach and observed that Bootstrap-based classification techniques significantly reduce the classification error rate than the usual techniques of small samples. Thus, this paper proposes to apply classification techniques under the Bootstrap approach for classifying objects in case of small sample. A real and simulated datasets application is carried out to see the performance.

Dynamics of Nitrogen Transformation and Removal in a Pilot High Rate Pond

The transformation and removal of nitrogen was studied in a pilot high rate pond with a surface area of 10.2 m2 and water depth of 60 cm. The pilot unit received wastewater from an existing field scale primary facultative pond at the University of Dar es Salaam. Wastewater samples were collected from the influent and effluent of high rate pond and were analyzed for physical-chemical parameters in the laboratory and in situ. An appropriate model complexity was selected, from which a conceptual model was then developed to model various processes in the system using STELLA 6.0.1 software. The study demonstrated that dominant nitrogen transformation processes in HRP were nitrification and denitrification, which transformed 0.95 and 0.87 gN/m2·d, respectively. These were followed by mineralization (0.37 gN/m2·d), ammonia uptake by microorganisms (0.34 gN/m2·d), volatilization (0.30 gN/m2·d), sedimentation (0.24 gN/m2·d), and regeneration (0.15 gN/m2·d). Uptake of nitrate was not observed because of microorganisms preference for ammonia, which was abundant in the pond. The major nitrogen transformation mechanisms in high rate pond were denitrification, net sedimentation and volatilization, which accounted for 69.1%, 7.1% and 23.8% of the total permanent removal mechanisms of nitrogen in High Rate Pond.

3-D Wavelet Transform for Very Low Bit-Rate Video Coding

A new improved Goh's 3 D wavelet transform(WT) coding scheme is presented in this paper. The new scheme has great advantages including a simple code structure, low computation cost and good performance in PSNR, compression ratios and visual quality of reconstructions, when compared to the other existing 3 D WT coding methods and the 2 D WT based coding methods. The new 3 D WT coding scheme is suitable for very low bit rate video coding.

Very Low Bit Rate Video Coding Using Motion Compensated 3 D Wavelet Transform

A new motion compensated 3 D wavelet transform (MC 3DWT) video coding scheme is presented in this paper. The new coding scheme has a good performance in average PSNR, compression ratio and visual quality of reconstructions compared with the existing 3 D wavelet transform (3DWT) coding methods and motion compensated 2 D wavelet transform (MC WT) coding method. The new MC 3DWT coding scheme is suitable for very low bit rate video coding.

主流媒体评价体系的时空逻辑与系统性变革的行动指向

“构建适应全媒体生产传播工作机制和评价体系”和“推进主流媒体系统性变革”具有密切的内在关联。理清现有评价体系的逻辑选择和既有误区,才能更精确找寻到“系统性变革”的行动指向。媒体融合向互联网进军的过程中,必须在流量这一新的“媒介尺度”中破局,并借此形成与传统广电媒体收视率评价体系共有的调适逻辑。但从实践过程与效果来看,这种调适乃至改变还远未形成系统性的整体建构。而主流媒体要从“媒介场”跨越到互联网场域达到全体系媒体融合的生态结构改变,并把握传媒生态构建的主动权,就必须首先确立既符合互联网传播生态规律,又具有主流媒体基本属性的新的评价体系,以期达到最终“系统性变革”的目标要求。

基于分数阶Fourier变换的chirp-rate调制解调方法研究

本文提出了一种基于分数阶Fourier变换的chirp-rate调制(CRM)非相干解调方法,并导出了其解调器的输出峰值;其次,从多普勒频移和码同步误差两个方面,将本文方法与匹配滤波相干解调方法进行了对比分析,得到了相应的对解调性能影响的解析表达,可以发现chirp-rate调制具有很强的抗多普勒频移能力,但是对码同步误差较为敏感.最后,通过仿真分析,验证了上述理论推导的正确性,并对比了本文方法和匹配滤波相干解调的误码性能.由于本文方法是一种非相干解调,所以相较匹配滤波相干解调差了约3dB.

连续波调频引信分数域匹配阶抗扫频干扰方法

针对连续波调频(Frequency Modulated Continuous Wave,FMCW)引信易遭受的扫频干扰问题,提出一种分数域匹配阶干扰抑制方法。该方法基于FMCW引信目标回波差频信号为多个单音信号叠加、干扰差频信号为线性调频信号的特点,利用线性调频信号在特定阶数分数阶域的聚集性,通过分数阶域一维恒虚警检测,获得干扰信号位置,并通过干扰位置幅相重构剔除干扰对引信的影响。针对干扰信号分数阶域阶数寻优问题,设计迭代黄金分割搜索法的分数阶变换阶次快速搜索算法。通过仿真和实测数据验证了新方法的有效性,验证结果表明:在低于-20 dB信干噪比条件下,新方法能够有效抑制同频非相参调频信号的干扰。

提高660MW机组运行经济性的技术改造

针对某660MW超临界机组出现的热耗率异常偏高问题(与设计值相比高出278kJ/(kW·h)),通过分析并提出相应的技术改造措施后,实现了年标准煤节约量达到2.18万吨,燃煤费用每年节省1437万元的显著经济效益,机组平均热耗率下降了173.02kJ/(kW·h),供电煤耗也平均降低了13.35g/(kW·h),为节能减排与可持续发展贡献了积极力量。

基于Transformer和CNN特征融合的非接触式心率检测算法

心率失调是心血管疾病的常见危险因素,如何及时地对心率失调作出预警,成为了研究的热点。传统的心率检测是接触式的,检测十分不便。远程光电容积脉搏波描记法(Remote photoplethysmography,rPPG)的提出旨在实现无须接触的测量,在许多场景中具有巨大的应用价值。然而,非接触式的测量方法容易受到环境和受试者运动的影响。针对这些问题,本文提出了基于Transformer全局表达和CNN局部特征融合的非接触式心率检测模型(TC-Net)。本文搭建了一个并联的Transformer网络和CNN网络的TC-Net模型。本模型包括两个分支,CNN分支用于提取rPPG信号的局部区域特征,Transformer用于提取rPPG信号的全局表达。由于全局表达特征和局部特征两者特征长度不一,本文提出了特征交互模块,该模块通过卷积层和上下采样模块以对齐两个分支的特征长度。随后,TC-Net通过特征交互模块将局部特征和全局表达进行融合得到最终用于检测的特征向量。最后,在远程心率测量评估中最广泛使用基准之一MAHNOB-HCI数据集上进行对比验证,模型在误差偏差(MAE)、均方根误差(RMSE)和平均绝对百分比误差(MAPE)等三个指标上都达到了最佳水平。因此,本文提出的非接触式心率检测模型TC-Net基于Transformer全局表达和CNN局部特征融合,具有较高的准确性和鲁棒性。此外,TC-Net仅由简单的几层卷积层和注意力层搭建而成,模型复杂度低,便于后续投入实际应用。

基于改进Transformer的广告点击率预估模型

针对现有的广告点击率预估模型未能精准挖掘用户历史兴趣及历史兴趣对目标广告点击与否的影响,提出了一种基于改进Transformer的广告点击率预估模型。该模型采用Transformer网络捕捉隐藏在用户点击序列背后的潜在历史兴趣;同时针对Transformer建模用户历史兴趣无法有效关联目标广告的问题,提出了一种改进的Transformer网络。改进后的Transformer不但有效建模用户历史兴趣,而且考虑了跟目标广告的关联。新模型采用辅助损失函数来监督改进的Transformer对用户历史兴趣的抽取过程,然后采用注意力机制进一步建模用户的历史兴趣和目标广告的相关性以提升模型的预估性能。实验结果表明新模型有效提升了广告点击率的预估效果。