RESUMEN
Solid-oxide electrolysis cells are a clean energy conversion device with the ability to directly electrolyze the conversion of CO2 to CO efficiently. However, their practical applications are limited due to insufficient CO2 adsorption performance of the cathode materials. To overcome this issue, the A-site cation deficiency strategy has been applied in a layered perovskite PrBaFe1.6Ni0.4O6-δ (PBFN) cathode for direct CO2 electrolysis. The introduction of 5% deficiency at the Pr/Ba site leads to a significant increase in the concentration of oxygen vacancies (nonstoichiometric number δ of oxygen vacancies increased from 0.093 to 0.132), which greatly accelerates the CO2 adsorption performance as well as the O2- transport capacity toward the CO2 reduction reaction (CO2RR). CO2 temperature-programmed desorption indicates that A-site cation-deficient (PrBa)0.95Fe1.6Ni0.4O6-δ (PB95FN) shows a larger desorption peak area and a higher desorption temperature. PB95FN also exhibits a greater presence of carbonate in Fourier transform infrared (FT-IR) spectroscopy. The electrical conductivity relaxation test shows that the introduction of the 5% A-site deficiency effectively improves the surface oxygen exchange and diffusion kinetics of PB95FN. The current density of the electrolysis cell with the (PrBa)0.95Fe1.6Ni0.4O6-δ (PB95FN) cathode reaches 0.876 A·cm-2 under 1.5 V at 800 °C, which is 41% higher than that of PB100FN. Moreover, the PB95FN cathode demonstrates excellent long-term stability over 100 h and better short-term stability than PB100FN under high voltages, which can be ascribed to the enhanced CO2 adsorption performance. The PB95FN cathode maintains a porous structure and tightly binds to the electrolyte after stability testing. This study highlights the potential of regulating oxygen defects in layered perovskite PrBaFe1.6Ni0.4O6-δ cathode materials via incorporation of cation deficiency toward high-temperature CO2 electrolysis.
RESUMEN
OBJECTIVE: The aim of study was to construct a nomogram to effectively predict the overall survival (OS) and cancer-specific survival (CSS) for patients with vulvar squamous cell carcinoma (VSCC). METHODS: The training cohort consisted of 5405 patients with VSCC, extracted from the Surveillance, Epidemiology, and End Results (SEER) database between 2004 and 2015. Eighty-four patients with VSCC were selected from the disease database of the Shengjing Hospital of China Medical University from 2014 to 2020, and enrolled as the external validation cohort. Significant independent prognostic factors were identified using Cox regression analysis and used to develop nomograms to predict 1-, 3-, and 5-year OS and CSS in patients with VSCC. RESULTS: The nomogram predicting OS was developed based on tumor size, histological grade, International Federation of Gynecology and Obstetrics (FIGO) stage, regional lymph node involvement, distant metastases, surgery, chemotherapy, age, and race. The nomogram for CSS was constructed using the similar factors, excluding race but including marital status. The nomogram for 1-, 3-, and 5-year OS demonstrated robust performance with receiver operating characteristic curves (AUCs) exceeding 80% (0.86, 0.84, and 0.82), outperforming the FIGO staging alone (0.77, 0.75, and 0.72). Similarly, for CSS, our nomograms achieved larger AUCs of 0.89, 0.88, and 0.86 compared with FIGO staging alone (0.81, 0.79, and 0.78). CONCLUSION: The nomograms more accurately predict prognosis than simple FIGO staging. Moreover, the nomograms developed in this study provide a convenient, operable, and reliable tool for individual assessment and clinical decision-making for patients with VSCC.
