EVA Application in the Performance Evaluation of State-owned Enterprises in China—Take Gree Group as an Example

China’s capital economy developed relatively late. In 2010, The State-owned Assets Supervision and Administration Commission (SASAC) officially stipulated that state-owned enterprises (SOES) should adopt EVA evaluation index. First introduced the traditional financial index system and measure of EVA index, and then by state-owned joint-stock enterprise group as an example, through the study of the application of EVA index in Gree, comparing to traditional financial index, analysis of the advantages of EVA index in performance evaluation of state-owned enterprises in China, and on the basis of the application of EVA index in our country state-owned enterprise puts forward some Suggestions to improve and perfect

Thermodynamics in the universe described by the emergence of the space and the energy balance relation

It has previously been shown that it is more general to describe the evolution of the universe based on the emergence of the space and the energy balance relation. Here we investigate the thermodynamic properties of the universe described by such a model. We show that the first law of thermodynamics and the generalized second law of thermodynamics (GSLT) are both satisfied and the weak energy condition are also fulfilled for two typical examples. Finally we examine the physical consistency for the present model.Comment: 9 pages, 2 figure

b→cτνb\to c\tau\nu Transitions in the Standard Model Effective Field Theory

The $R(D^{(\ast)})$ anomalies observed in $B\to D^{(\ast)}\tau\nu$ decays have attracted much attention in recent years. In this paper, we study the $B\to D^{(\ast)}\tau\nu$, $\Lambda_b\to\Lambda_c\tau\nu$, $B_c\to (J/\psi,\,\eta_c)\tau\nu$, $B\to X_c\tau\nu$, and $B_c\to\tau\nu$ decays, all being mediated by the same quark-level $b\to c\tau\nu$ transition, in the Standard Model Effective Field Theory. The most relevant dimension-six operators for these processes are $Q_{lq}^{(3)}$, $Q_{ledq}$, $Q^{(1)}_{lequ}$, and $Q^{(3)}_{lequ}$ in the Warsaw basis. Evolution of the corresponding Wilson coefficients from the new physics scale $\Lambda=1$~TeV down to the characteristic scale $\mu_b\simeq m_b$ is performed at three-loop in QCD and one-loop in EW/QED. It is found that, after taking into account the constraint ${\cal B}(B_c\to\tau\nu)\lesssim 10\%$, a single $\left[C_{lq}^{(3)}\right]_{3323}(\Lambda)$ or $\left[C^{(3)}_{lequ}\right]_{3332}(\Lambda)$ can still be used to resolve the $R(D^{(\ast)})$ anomalies at $1\sigma$, while a single $\left[C^{(1)}_{lequ}\right]_{3332}(\Lambda)$ is already ruled out by the measured $R(D^{(\ast)})$ at more than $3\sigma$. By minimizing the $\chi^2(C_i)$ function constructed based on the current data on $R(D)$, $R(D^\ast)$, $P_\tau(D^\ast)$, $R(J/\psi)$, and $R(X_c)$, we obtain eleven most trustworthy scenarios, each of which can provide a good explanation of the $R(D^{(\ast)})$ anomalies at $1\sigma$. To further discriminate these different scenarios, we predict thirty-one observables associated with the processes considered under each NP scenario. It is found that most of the scenarios can be differentiated from each other by using these observables and their correlations.Comment: 43 pages, 3 figures and 5 tables; references updated and more discussions added, final version to be published in the journa

New Methods in Gravitational and Seismic Reflection Exploration

For the purpose of regional gravity survey, a completely automatic terrain correction method has been developed. The advantages of previous methods developed by others have been taken over with some modifications, also a new idea for the inner zone correction has been presented. At first, the whole area under investigation is divided into a grid of equal squares of convenient size for the automatic computation. The terrain effect of the far distant zone (r>50 km) is neglected. The terrain effect of the distant zone (30<r<50 km) is evaluated by approximating the prism as a vertical line with all mass centred on it, so, the line mass formula is used for this compulation. The terrain correction of the intermediate zone (2<r≤30 km) is estimated by approximating prism as a segment of a hollow cylinder of different sizes. Specifically, the side of the prism is treated as 4 km in the zone (20<r≤30 km), 2 km in the zone (15<r≤20 km) and 1 km in the zone (2<r≤15 km). The terrain effect of near zone 2 (0.5<r<2 km) is calculated by approximating the terrain as a vertical prism with a horizontal lower face and an upper face constantly sloping towards the station. A simplified formula is used for this computation. The terrain effect of near zone 1 (r≤0.5 km), that is, the square with the gravity station inside, is obtained by triangulating that square with an additional four elevation values provided at the four corners of the square. Since these four heights are read directly from four points on the Ordnance Survey map, they are relatively accurate, so that the triangulated prisms will more approach the real terrain. The gravitational effect of individual prisms in near zone 1 is obtained by integrating gravity over the volume. As a result, the rather complicated formulae are derived. The software MATERRAIN has been developed on the VAX/UNIX operating system not only to make terrain corrections, but to make the free-air and Bouguer corrections. The output from the program is a Bouguer anomaly. The method is tested by the gravity data in the Southern Uplands of Scotland and the results are satisfactory. It is found that some of the original terrain corrections provided by the BGS are underestimated and need to be modified. The method is entirely automatic and easy to use. With respect to reflection seismology, a new experiment was conducted aimed at understanding the wave propagation in volcanic rocks, finding new means of obtaining conventional reflection seismic data, and extracting the weak signals in the presence of noise. To accommodate this, a new areal 'RAZOR' array was designed. Three-component geophones lie on one of two concentric circles of radii 75 and 130 m. The determination of the array dimension is based on several factors such as the wavelength of signal, the true dip of deep reflectors. Three-component seismic data were acquired over the basalt in the Midland Valley of Scotland using an MDS-10 Data System. The SEG-Y data were transformed into an ASCII-coded format and then rotated onto a new coordinate system. The study of characteristics of field data shows that 3-component seismograms are characterised by strong reverberations lasting as long as 500 ms. The reverberation patterns vary from station to station. The horizontal components exhibit larger amplitudes and lower frequency than the vertical component. Furthermore, the data from the inner stations are believed to be more affected by surface conditions than the data from the outer stations. The display of the vertical and radial components from the outer stations shows a line of reflection events at about 420 ms; there are no clear events on the transverse section. By applying a spatial directional filter to each component of seismic data, it is shown that there is more information in the horizontal component passing through the filter than the vertical component. This is attributed to the far larger amplitudes of the horizontal components, which may dominate the polarisation direction of particle motions. The energy variation diagram of each shot shows quantitatively that the radial component receives much more energy than the others. In order to extract weak signals in the presence of noise, a bandpass frequency filter with a low cut-off of 20 Hz and a slope of 30 dB/octave, and a high cut-off of 60 Hz and a slope of 70 dB/octave is applied. The filtered data reveal that the filter can reject part of the low frequency reverberations (<20 Hz) and high frequency noise. For most of high reverberations within the bandwidth, the filter does little to improve the data. Predictive deconvolution filtering shows that it is very good at compressing the wavelets and attenuating the amplitude of reverberations

Antimicrobial peptide identification using multi-scale convolutional network

Background: Antibiotic resistance has become an increasingly serious problem in the past decades. As an alternative choice, antimicrobial peptides (AMPs) have attracted lots of attention. To identify new AMPs, machine learning methods have been commonly used. More recently, some deep learning methods have also been applied to this problem. Results: In this paper, we designed a deep learning model to identify AMP sequences. We employed the embedding layer and the multi-scale convolutional network in our model. The multi-scale convolutional network, which contains multiple convolutional layers of varying filter lengths, could utilize all latent features captured by the multiple convolutional layers. To further improve the performance, we also incorporated additional information into the designed model and proposed a fusion model. Results showed that our model outperforms the state-of-the-art models on two AMP datasets and the Antimicrobial Peptide Database (APD)3 benchmark dataset. The fusion model also outperforms the state-of-the-art model on an anti-inflammatory peptides (AIPs) dataset at the accuracy. Conclusions: Multi-scale convolutional network is a novel addition to existing deep neural network (DNN) models. The proposed DNN model and the modified fusion model outperform the state-of-the-art models for new AMP discovery. The source code and data are available at https://github.com/zhanglabNKU/APIN