Intelligent wireless power transfer via a 2-bit compact reconfigurable transmissive-metasurface-based router.

With the rapid development of the Internet of Things, numerous devices have been deployed in complex environments for environmental monitoring and information transmission, which brings new power supply challenges. Wireless power transfer is a promising solution since it enables power delivery without cables, providing well-behaved flexibility for power supplies. Here we propose a compact wireless power transfer framework. The core components of the proposed framework include a plane-wave feeder and a transmissive 2-bit reconfigurable metasurface-based beam generator, which constitute a reconfigurable power router. The combined profile of the feeder and the beam generator is 0.8 wavelengths. In collaboration with a deep-learning-driven environment sensor, the router enables object detection and localization, and intelligent wireless power transfer to power-consuming targets, especially in dynamic multitarget environments. Experiments also show that the router is capable of simultaneous wireless power and information transfer. Due to the merits of low cost and compact size, the proposed framework may boost the commercialization of metasurface-based wireless power transfer routers.

Spurious Absorption Frequency Appearance Due to Frequency Conversion Processes in Pulsed THz TDS Problems.

The appearance of the spurious absorption frequencies caused by the frequency conversion process at the broadband THz pulse propagation in a medium is theoretically and experimentally discussed. The spurious absorption frequencies appear due to both the frequency doubling and generation of waves with sum or difference frequency. Such generation might occur because of the nonlinear response of a medium or its non-instantaneous response. This phenomenon is confirmed by the results of a few physical experiments provided with the THz CW signals and broadband THz pulses that are transmitted through the ordinary or dangerous substances. A high correlation between the time-dependent spectral intensities for the basic frequency and generated frequencies is demonstrated while using the computer simulation results. This feature of the frequency conversion might be used for the detection and identification of a substance.

Long non-coding RNA DANCR, a prognostic indicator, promotes cell growth and tumorigenicity in gastric cancer.

Gastric cancer remains the third leading cause of cancer-related mortality worldwide, and proliferation of gastric cancer represents the major reason for its poor prognosis. Recent evidence indicates that long non-coding RNAs play crucial roles in development and progression of gastric cancer. Long non-coding RNA differentiation antagonizing non-protein coding RNA is upregulated in hepatic cell carcinoma, but the role of lncRNA differentiation antagonizing non-protein coding RNA in gastric cancer has not been explored. In this article, we found that differentiation antagonizing non-protein coding RNA is also upregulated in gastric cancer. Experiments revealed that silencing differentiation antagonizing non-protein coding RNA significantly inhibited gastric cancer cell proliferation in vitro and in vivo. Overexpression of differentiation antagonizing non-protein coding RNA notably increases gastric cancer cell proliferation. From RNA-seq and gene ontology annotations, we found that differentiation antagonizing non-protein coding RNA influences the gene expression programs in cell metabolic and cycle process. Taken together, our findings suggest that the long non-coding RNA differentiation antagonizing non-protein coding RNA promotes the proliferation of gastric cancer and is a potential prognostic biomarker and therapeutic target in gastric cancer.

High expression of long non-coding RNA CCAT2 indicates poor prognosis of gastric cancer and promotes cell proliferation and invasion.

BACKGROUND: Numerous studies have demonstrated that long non-coding RNAs (lncRNAs) have many biological functions and play crucial roles in various human cancers, including cancer development, metastasis and prognosis of cancer patients. CCAT2, a novel long non-coding RNA, has been identified as correlating with several different types of cancers. However, the role of lncRNA CCAT2 in gastric cancer (GC) patients is unknown. The purpose of our research was to investigate the function and prognostic significance of lncRNA CCAT2 expression in GC patients. METHODS: Expression of lncRNA CCAT2 was examined in 208 paired normal and cancerous gastric tissues. Molecular and cellular techniques were used to explore the biological function of lncRNA CCAT2 in GC cells. Kaplan-Meier method and Cox proportional hazards model were used to analyze the prognostic significance of lncRNA CCAT2 expression. RESULTS: The results showed that lncRNA CCAT2 was upregulated in GC tissues (P=0.000), and positively correlated with TNM stage (P=0.029), lymphatic invasion (P=0.042) and nervous invasion (P=0.024) in GC patients. Furthermore, we also found that high expression of lncRNA CCAT2 was an unfavorable prognostic factor in GC patients. Silencing of lncRNA CCAT2 inhibits gastric cancer cell proliferation and invasion. CONCLUSIONS: lncRNA CCAT2 may serve as a tumor promoter and a new predictive prognostic factor for human gastric cancer.