Publications by authors named "C X Chi"
Objective: A growing body of research shows that the organizational silence among nurses not only affects their job satisfaction and performance but also exacerbates their intention to leave their jobs, posing a threat to the long-term stability of the nursing team. Therefore, the aim of this study was to synthesize existing qualitative research to explore the real experiences of nurses' organizational silence behavior and gain insight into the motivations and feelings behind it.
Design: A qualitative review.
The high thermopower of ionic thermoelectric (-TE) materials holds promise for miniaturized waste-heat recovery devices and thermal sensors. However, progress is hampered by laborious trial-and-error experimentations, which lack theoretical underpinning. Herein, by introducing the simplified molecular-input line-entry system, we have addressed the challenge posed by the inconsistency of -TE material types, and present a machine learning model that evaluates the Seebeck coefficient with an of 0.
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- Isoflavones are polyphenols that can create complexes with starch, which helps slow down starch digestion.
- Researchers studied different isoflavones (daidzein, genistein, biochanin A, genistin, and puerarin) to understand how their structures affect starch interactions.
- Findings indicated that daidzein and genistein for more effective complexes with starch, likely due to their smaller size and fewer hydroxyl groups, emphasizing the importance of these structural features in determining starch digestibility.
Introduction: The separation of nickel-titanium endodontic instruments due to excessive torque adversely affects treatment outcomes. Previous studies have analyzed torque values under static conditions and failed to accurately simulate the dynamic conditions of instruments within root canals. This study aimed to apply a novel finite element analysis (FEA) to assess the real-time dynamic performance of nickel-titanium endodontic instruments during operation in root canals.
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- This study examines the prevalence of co-infections with Burkholderia cepacia complex (Bcc) in patients with respiratory infections like COVID-19 and H7N9, highlighting a lack of previous research on this topic.
- A total of 49 Bcc isolates were analyzed from patients, revealing that those infected with COVID-19 had a higher rate of multidrug resistance and a shorter median lethal time compared to those with H7N9.
- The findings suggest that COVID-19-Bcc may have evolved from H7N9-Bcc, demonstrating increased virulence and antibiotic resistance in the context of respiratory infections.