Does energy price induce China’s green energy innovation?

This paper aims to comprehensively analyze the relationship between energy price and green energy innovation in China, and first studies the impact of energy price on China’s green energy innovation, then further investigates the moderating role of energy price distortion in the price–innovation relationship, especially in the context of lagging energy marketization level in the process of China’s transition from planned economy to the market economy. Based on the data of 30 provinces in China from 2003 to 2017, this paper provides a measurement of green energy innovation capacity through the number of “alternative energy production” and “energy conservation” patents. Our results show that energy price has a significantly positive impact on China’s green energy innovation, no matter the number of green energy patent applications or the number of green energy patent grants is used as the proxy of green energy innovation capacity. However, there exists heterogeneity related to the influence of energy price on green energy innovation. Specifically, energy price has a noticeable role in promoting green energy innovation in central and western China, but not in eastern China. Further research results show that energy price distortion significantly reduces the inducing effect of energy price on green energy innovation. Meanwhile, the distortion degrees of energy price in the central and western regions of China are significantly lower than that in the eastern region, which explains to a large extent why the inducing effect of energy price on innovation is more prominent in the central and western regions

Quantum criticality driven by the cavity coupling in Rabi-dimer model

The superradiant phase transition (SPT) controlled by the interacting strength between the two-level atom and the photons has been a hot topic in the Rabi model and the Rabi-dimer model. The latter describes two Rabi cavities coupled with an inter-cavity hopping parameter. Moreover, the SPT in the Rabi-dimer model is found to be the same universal class that in the Rabi model by investigating the correlation-length critical exponent. In this paper, we are concerned about whether the inter-cavity hopping parameter between two Rabi cavities (i.e., the Rabi-dimer model) will induce the SPT and to which the universal class of the phase transition belongs. We analytically derive the phase boundary of the SPT and investigate the ground-state properties of the system. We uncover that the inter-cavity induced SPT can be apparently understood from the ground-state energy and the ground-state photon population, as well as the ground-state expectation value of the squared anti-symmetric mode. From the scaling analysis of the fidelity susceptibility, we numerically verify that the SPT driven by the cavity coupling belongs to the same universal class as the one driven by the atom-cavity interaction. Our work enriches the studies on the SPT and its critical behaviors in the Rabi-dimer model.Comment: 11 pages, 6 figure

Multi-Encoder U-Net for Automatic Kidney Tumor Segmentation

Kidney tumor segmentation is a difficult yet critical task for medical image analysis. In recent years, deep learning based methods have achieved many excellent performances in the field of medical image segmentation. In this paper, we propose a Multi-Encoder U-Net segmentation method to tackle the challenging problem of kidney tumor segmentation from CT images. Our Multi-Encoder U-Net method uses three different depth networks as encoders for kidney tumor segmentation: VGG16, ResNet34, ResNet50, a feature fusion networkFED-Net is also used simultaneously, finally fusing the four results. We tested our method on the dataset of MICCAI 2019 Kidney Tumor Segmentation Challenge(KiTS)

CONCURRENT TRANSMISSION MECHANISM TO IMPROVE THROUGHPUT OF BOTTLENECK DEVICES IN LOW-POWER AND LOSSY NETWORKS

Techniques are described herein for designing a concurrent channel mechanism to cause mesh network border router devices or key/bottleneck devices to communicate with multiple devices concurrently. This may reduce collision probabilities and thus enhance the scaling ability of a network

High-efficiency photoelectric detector based on a p-n homojunction of monolayer black phosphorus

We numerically investigate the high-efficiency photovoltaic effect in lateral p-n homojunction based on monolayer black phosphorus (MBP) by using the non-equilibrium Green's function combined with the density functional theory. Due to the built-in electric field of the p-n junction and the wrinkle structure of MBP, the photocurrent excited by either linearly or elliptically polarized light is significantly enhanced in a wide photon energy range. Moreover, because of the electron-photon interaction, the photocurrent is related to atomic orbitals through the polarizing angle of polarized light. Therefore, we can read the orbital information of the band structure from the polarizing angular distribution of photocurrent. These findings suggest the promising application of MBP-based p-n homojunction in high-efficiency photoelectric devices and orbital-resolved photovoltaic detection

Effect of 1-MCP on storage quality and the mechanism involved in ethylene signal transduction in a new early-maturing apple variety ‘Taihangzaohong’ fruits during cold storage

1-Methylcyclopropene (1-MCP) can reduce the rate of fruit softening and prolong storage time. In this study, the fruit of a new early-maturing apple variety, ‘Taihangzaohong’, was treated with air (control), 2 μL/L 1-MCP, 100 μL/L ethylene (C 2H4) or 2 μL/L 1-MCP +100 μL/L C2H4 for 24 hours and then stored at 4 °C for 70 days. The postharvest physiological indices and the expression of 13 genes related to ethylene biosynthesis and signal transduction were monitored every 10 days. The results showed that 1-MCP can delay the softening rate and maintain the fruit quality of this early-maturing apple variety by reducing ethylene production by reducing the expression of MdACO1, MdACO2, and MdACS1, as well as by preventing ethylene signal transduction by decreasing the expression of MdETR2 and MdERS1 and increasing the expression of MdCTR1. Understanding the significant changes in these genes and their functions may help us explore the mechanisms controlling apple fruit softening and its response to exogenous 1-MCP and ethylene stimuli, as well as inhibition at the receptor level during ripening and senescence