Multicomponent alloys are promising candidates as catalysts for hydrogen evolution reaction (HER) in aqueous solutions owing to the synergic effects between elements. However, due to the vast compositional space they occupy, identifying the optimum catalyst is challenging both computationally and experimentally. In this paper, we propose a scalable highthroughput bubble screening method that is able to identify the multicomponent alloys with the highest catalytic properties. As a demonstration, the optimum compositions with advanced intrinsic catalytic activities in the ternary Ni−Co−Ti and Ni−Fe−Au alloys are identified using this method. The advanced catalytic performance of the optimum Ni 56.5 Co 35 Ti 8.5 alloy ribbon is further confirmed by the individual electrochemical tests, with an over-potential of about 425 mV at 500 mA cm −2 and a Tafel slope of about 82 mV dec −1 . This is attributed to the low atomic packing density and low electron binding energy. The introduced scalable high-throughput strategy is not limited to ternary catalysts for HER but is also expected to be equally useful for exploring catalysts in higher composition alloy systems and even for oxygen evolution reactions.
Helium-3 (3He) is a noble gas that has critical applications in scientific researches and promising application potential as clean fusion energy. It is thought that the lunar regolith contains large amounts of helium. But it is challenging to extract because most helium atoms are reserved in defects of crystals or as solid solutions. Here, we find large amounts of helium bubbles in the glassy surface layer of ilmenite particles that were brought back by Chang’E-5 mission. The special disorder atomic packing structure of glasses should be the critical factor for capturing the noble helium gas. The reserves in bubbles don’t require heating to high temperatures to extract. Mechanical methods at ambient temperatures can easily break the bubbles. Our results provide insights on the mechanism of helium gathering on the moon and offer guidance on future in situ extraction of helium on the Moon.
Objective. To assess the effectiveness of comprehensive nursing in patients with chronic renal failure undergoing hemodialysis and the impact on their quality of life. Methods. The present study included 86 patients undergoing hemodialysis for chronic renal failure from January 2020 to October 2021 and randomly assigned them to receive either normal nursing or comprehensive nursing, with 43 cases in each group. Outcome measures included psychological status, treatment compliance, quality of life, and complications of the eligible patients. Results. After the intervention, comprehensive nursing resulted in lower Self-Rating Anxiety Scale (SAS) scores and Self-Rating Depression Scale (SDS) scores and higher quality of life scores for patients versus routine nursing ( P < 0.05 ). Comprehensive nursing was associated with a significantly higher overall patient compliance rate versus routine nursing ( P < 0.05 ). Patients receiving comprehensive nursing had a lower risk of developing complications versus those given routine nursing ( P < 0.05 ). Conclusion. Comprehensive care increases treatment compliance and self-care capacity of patients undergoing hemodialysis for chronic renal failure, improves their quality of life, and lowers the risk of complications, indicating a high potential for clinical advancement.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.