Department of Materials Engineering and Convergence Technology, RIGET, Gyeongsang National University, Jinju 52828, Republic of Korea.
Published: June 2021
AI Article Synopsis
Article Abstract
Transition-metal sulfides have been extensively studied as anode materials for use in sodium-ion batteries (SIBs) and potassium-ion batteries (PIBs) due to their multi-electron reactions, high rate performance, and abundant available resources. However, the practical capacities of metal sulfides remain low due to conductivity issues, volume expansion, and the use of traditional carbonate electrolytes. To overcome these drawbacks, ether electrolytes can be combined with nanoparticle-based metal sulfide anodes. Herein, a nanoparticle-based nickel monosulfide (NiS) anode with high rate performance in the ether electrolytes of SIBs/PIBs was prepared by heating a mixture of nickel nanoparticles with sulfur. In SIBs, the NiS anode capacity was 286 mA h g-1 at a high current density of 100 A g-1, and excellent cycling performance was observed at 25 A g-1 with a capacity of 468 mA h g-1 after 1000 cycles. Moreover, a full-cell containing a Na3V2(PO4) cathode demonstrated a rate performance of 65 mA h g-1 at a high current density of 100 A g-1. In PIBs, the NiS electrode capacity was 642 and 37 mA h g-1 at 0.5 and 100 A g-1, respectively. Hence, the synthesised NiS nanoparticles possessed excellent storage capability, regardless of the alkali-ion type, suggesting their potential use as robust NiS anodes for advanced battery systems.
Objectives: This study aimed to investigate the diagnostic performance and safety of endoscopic ultrasound-guided tissue acquisition (EUS-TA) for perivascular soft-tissue cuffing (PSTC).
Methods: This single-center, retrospective study evaluated patients in whom EUS-TA was performed for PSTC in pancreatic or bile duct cancer lesions between October 2017 and March 2024. PSTC was defined as a perivascular soft-tissue area contiguous with nearby blood vessels from the suspected primary tumor.
In many clinical contexts, the event of interest could occur multiple times for the same patient. Considerable advancement has been made on developing recurrent event models based on or that use biomarker information. However, less attention has been given to evaluating the prognostic accuracy of a biomarker or a composite score obtained from a fitted recurrent event-rate model.
Background: Artificial intelligence (AI) has the potential to enhance healthcare practices, including periodontology, by improving diagnostics, treatment planning and patient care. This study introduces 'PerioGPT', a specialized AI model designed to provide up-to-date periodontal knowledge using GPT-4o and a novel retrieval-augmented generation (RAG) system.
Endovascular repair has significantly improved the treatment of aortic aneurysms, particularly in older and high-risk patients. However, many studies have not found significant differences in long-term outcomes when comparing open and endovascular repair methods. Additionally, endovascular repair is associated with a higher rate of aortic-related reinterventions compared to open repair (OR), sometimes necessitating late open surgical conversion (LOSC).
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