Graphene Terahertz Devices for Sensing and Communication.

Graphene-based terahertz (THz) devices have emerged as promising platforms for a variety of applications, leveraging graphene's unique optoelectronic properties. This review explores recent advancements in utilizing graphene in THz technology, focusing on two main aspects: THz molecular sensing and THz wave modulation. In molecular sensing, the environment-sensitive THz transmission and emission properties of graphene are utilized for enabling molecular adsorption detection and biomolecular sensing. This capability holds significant potential, from the detection of pesticides to DNA at high sensitivity and selectivity. In THz wave modulation, crucial for next-generation wireless communication systems, graphene demonstrates remarkable potential in absorption modulation when gated. Novel device structures, spectroscopic systems, and metasurface architectures have enabled enhanced absorption and wave modulation. Furthermore, techniques such as spatial phase modulation and polarization manipulation have been explored. From sensing to communication, graphene-based THz devices present a wide array of opportunities for future research and development. Finally, advancements in sensing techniques not only enhance biomolecular analysis but also contribute to optimizing graphene's properties for communication by enabling efficient modulation of electromagnetic waves. Conversely, developments in communication strategies inform and enhance sensing capabilities, establishing a mutually beneficial relationship.

Prediction of recurrence of early gastric carcinoma after endoscopic submucosal dissection.

Background: The aim of this retrospective study was to predict the post-endoscopic submucosal dissection (ESD) recurrence risk of early gastric carcinoma (EGC) using a nomogram model, and to provide valuable evidence for preventing the recurrence. Methods: The patients with EGC receiving ESD between March 2010 and February 2018 were enrolled. They were followed up once every three months after ESD. At the end of follow-up, they were assigned into recurrence and non-recurrence groups. The independent risk factors for post-ESD recurrence were identified using Cox regression analysis. A nomogram prediction model was established, and its predictive efficiency was assessed by plotting receiver operating characteristic (ROC) curve. Results: Helicobacter pylori (HP) infection, number of positive lymph nodes >3 and a large amount of intraoperative hemorrhage were risk factors for post-ESD recurrence. According to multivariate Cox regression analysis, HP infection and number of positive lymph nodes >3 were independent predictors. The nomogram model had a good fitting effect, and the area under ROC curve was 0.933 (95% confidence interval: 0.919-0.947), suggesting a high predictive efficiency. Conclusion: Positive lymph nodes and HP infection are closely correlated with the recurrence risk after ESD in EGC patients. The established model is a quantitative tool for predicting recurrence to improve the prognosis.