The integrated sensing, communication, and computing (ISCC) system overcomes the limitations of conventional standalone architectures. Through resource sharing and collaborative design, it dynamically optimizes and jointly enhances communication, sensing, and computing performance, thereby significantly improving overall system efficiency. This work investigates the performance trade-off among secure communication rate, radar estimation rate, and computational energy efficiency in an uncrewed aerial vehicle (UAV)-assisted ISCC system. By jointly optimizing the UAV's three-dimensional (3D) trajectory, beamforming, user scheduling, and computational frequency, three optimization problems are formulated to maximize the average secrecy rate, sensing rate, and computational energy efficiency, respectively, thus establishing the system's performance boundaries under diverse scenarios. On this basis, the trade-off among security, sensing, and computation is further explored with the goal of maximizing the normalized weighted sum of the three performance metrics, which provides a theoretical basis for the performance-coordinated design of aerial ISCC systems.
Hongjiang Lei, Juntian He, Cong Jiang et al.· 0 citations
BACKGROUND
Competency training is essential for cultivating qualified anaesthesia Master of Nursing Specialist (MNS) graduates. Although a previous study has established relevant competency dimensions for anaesthesia nursing, no refined framework with operationalized indicators is currently available for Chinese MNS anaesthesia students.
OBJECTIVE
To construct an index system for the core clinical competencies of MNS anaesthesia students.
METHODS
Following literature screening, 26 eligible publications were selected to draft preliminary indicators. Semi-structured interviews with 15 participants were performed, and interview data were analysed via thematic coding.21 experts from 11 regions across China completed two rounds of Delphi surveys. Indicators were rated on a 5-point Likert scale, with expert consensus determined by predefined statistical cut-offs (mean importance score ≥ 3.5, coefficient of variation (CV) ≤ 0.25, ≥ 75% ratings ≥ 4) combined with comprehensive expert revision opinions.
RESULTS
The response rates of the two Delphi rounds were 100% and 95.24%, respectively. The expert authority coefficients (Cr) were 0.95 and 0.96, indicating high reliability of the consultation results. In the second round, Kendall's concordance coefficients (W) for the first, second, and third-level indicators were 0.552 (strong consensus), 0.324 (moderate consensus), and 0.254 (weak-moderate consensus) respectively (P < 0.01), which indicated that the consistency of expert opinions was statistically significant and the consultation results were valid. The range of coefficient of variation was from 0.05 to 0.25. The final indicator system included 8 first-level indicators, 39 s-level indicators, and 109 third-level indicators.
CONCLUSION
Core clinical competency indicators for MNS anaesthesia students, established in this study, achieved expert consensus validity. These competency indicators can serve as a theoretical reference for the future training and assessment of MNS postgraduates in this field.
Xueyan Xing, Cong Jiang, Tingting Yang et al.· BMC Nursing· 0 citations
