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2 results on '"Hao, Liqun"'

1. Research and Practice on Strategic Planning and Resource Allocation Optimisation Model of Off-site Research Institute

Author

Zhao Yingtao, Hua Zhilei, Liu Yiying, and Hao Liqun

Subjects
simulated annealing algorithm, particle swarm algorithm, multi-objective optimization model, resource allocation, off-site research institute, 68-02, Mathematics, QA1-939
Abstract

Off-site research institutes serve as crucial platforms for universities to facilitate the translation and application of their scientific research outcomes. Additionally, these institutes act as vital intermediaries for local governments to harmonize scientific inputs with economic development and play a key role in the industrial transformation and elevation of regional science and innovation levels. Drawing on the triple helix theory, this paper outlines strategic planning for off-site research institutes and develops a multi-objective linear programming model aimed at optimizing resource allocation. This model focuses on enhancing both the efficiency of resource utilization and the efficiency of resource allocation at these institutes. To address the issue of local minima commonly encountered in optimization algorithms, this study employs a simulated annealing algorithm to refine the performance of the particle swarm optimization algorithm. The resulting hybrid algorithm termed the simulated annealing particle swarm algorithm, is applied to solve the proposed model and investigate the determinants of optimal resource allocation. The findings indicate a significant improvement in resource allocation efficiency, with the coefficient for heterogeneous research institutes decreasing from an average of 0.84 in 2020 to 0.68. This optimization has led to a more effective and rational distribution of resources, better meeting the needs of the institutes. Furthermore, the analysis reveals that financial support and talent introduction and development account for approximately 69.7% of the variance in the optimized development of resource allocation at these institutes. The study provides actionable insights that could guide the optimal development of off-site research institutes, offering valuable references for future applications.

Published
2024
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2. Predictive Value of PRISMA-7, qSOFA, ESI, and CFS for 28-Day Mortality in Elderly Patients in the Emergency Department

Author

Hao,Liqun, Zhou,Yue, Zou,Jiatong, Hao,Lirong, and Deng,Peng

Subjects
Journal of Inflammation Research
Abstract

Liqun Hao,1 Yue Zhou,1 Jiatong Zou,1 Lirong Hao,2 Peng Deng1 1Department of Emergency Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China; 2Department of Emergency Medicine, West China Hospital Shangjin Branch, Sichuan University, Chengdu, Sichuan, People’s Republic of ChinaCorrespondence: Peng Deng, Email 326038901@qq.comBackground: To explore the predictive value of the Programme on Research for Integrating Services for the Maintenance of Autonomy 7 (PRISMA-7), quick Sequential Organ Failure Assessment (qSOFA) score, Emergency Severity Index (ESI), and Clinical Frailty Scale (CFS) on the 28-day mortality risk in emergency elderly patients.Methods: A multicenter prospective observational study was conducted to select elderly patients (≥ 65 years old) admitted to the emergency department of three Grade-A hospitals in different regions of China from January 2020 to March 2022. Primary data were collected at the time of admission. All patients were followed up for 28 days. The primary outcome was 28-day mortality. The predictive value of four scoring systems for 28-day mortality in elderly emergency patients was assessed by receiver operating characteristic (ROC) and logistic regression analysis.Results: A total of 687 elderly emergency patients were enrolled, of whom 66 (9.61%) died within 28 days. Age, ICU admission rate, PRISMA-7, qSOFA, and CFS were significantly higher in the death group than in the survival group (P < 0.05), and ESI was lower than in the survival group (P < 0.001). The AUC for CFS was the largest of the four scoring systems at 0.80. According to the Youden index, the optimal cutoff values for PRISMA-7, qSOFA, ESI, and CFS were > 3.5, > 0.5, < 2.5, and > 4.5, respectively. Logistic regression revealed that qSOFA and CFS were the primary risk factors for increased 28-day mortality in elderly emergency patients (P < 0.001). The combined predictor L (L=X1+0.50X2, X1 and X2 are qSOFA and CFS values, respectively) had an AUC of 0.86 and a cutoff value > 2.75.Conclusion: PRISMA-7, qSOFA, ESI, CFS, and the combined qSOFA+CFS predictor were all effective predictors of 28-day mortality risk in elderly emergency patients, with the combined qSOFA+CFS predictor having the best predictive power.Keywords: PRISMA-7, qSOFA, CFS, elderly patient, prognosis

Published
2023

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