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Background and purpose: Anti-programmed death-1 (anti-PD-1) adjuvant therapy and targeted therapy have resulted in longer recurrence-free survival (RFS) for malignant melanoma patients in clinical trials. However, the efficacy of adjuvant anti-PD-1 therapy in Chinese melanoma patients has not been previously reported. The purpose of this study was to retrospectively analyze the RFS in Chinese resected stage Ⅲ malignant melanoma patients treated with adjuvant anti-PD-1 therapy and to preliminarily compare it with BRAFV600 inhibitor vemurafenib. Methods: This study retrospectively collected the information of 120 patients with resected stage Ⅲ malignant melanoma from three major cancer centers in China from August 30, 2018 to August 30, 2020. These patients received adjuvant pembrolizumab/toripalimab or vemurafenib. RFS rates were assessed by Kaplan-Meier curves and log-rank tests were used to examined differences. Results: Among the 90 patients with stage Ⅲ malignant melanoma receiving adjuvant anti-PD-1 therapy, the median-RFS (mRFS) was 16 months (95% CI: 14-18 months); the 12-month RFS rate was 69.5% (95% CI: 64.6%-74.4%) and the 24-month RFS rate was 45.8% (95% CI: 40.5%-51.1%). The mRFS for 30 patients who received vemurafenib was 18 months (95% CI: 10-21 months), the 12-month RFS rate was 62.8% (95% CI: 54.0%-71.6%), and the 24-month RFS rate was 32.9% (95% CI: 27.1%-44.7%). In the stratified analysis, firstly, there was no difference in RFS between anti-PD-1 therapy group and vemurafenib group. Secondly, the BRAFV600E mutation status may did not affect the RFS of anti-PD-1 therapy. In addition, in this study, for the patients with BRAFV600E mutation, the RFS showed no difference between these patients received anti-PD-1 therapy or vemurafenib. Finally, although the RFS was better in patients with cutaneous melanoma than in patients with acral and worst in patients of unknown origin, the data for adjuvant therapy in China were still poor. Conclusion: These are the real-world data from adjuvant anti-PD-1 therapy in patients with resected stage Ⅲ cutaneous and acral melanoma patients in China. In our study, adjuvant anti-PD-1 therapy is indistinguishable from vemurafenib indicates more combination therapies are needed to improve outcome in China.

This paper proposes a toolbox for smart specialisation strategy (S3) that can provide region-specific suggestions about the prioritisation of technology domains based on technology flow matrices estimated with patent citation data. Upstream–downstream relations across technologies are found using citations as proxies, and the key enabling technologies and knowledge complexity are defined accordingly, integrating three principles of S3 that were formerly analyzed separately in the literature. The average propagation lengths model in production theory, which captures long-term and indirect linkages, is then utilised to improve the measure of relatedness across technologies in the current literature. The S3 domains of Lombardy, Italy, are re-examined, and suggestions are made regarding previously 'undiscovered gems'. [ABSTRACT FROM AUTHOR]

The existing trajectory planning research mainly considers the safety of the obstacle avoidance process rather than the anti-rollover requirements of heavy vehicles. When there are driving risks such as rollover and collision, how to coordinate the game relationship between the two is the key technical problem to realizing the anti-rollover trajectory planning under the condition of driving risk triggering. Given the above problems, this paper studies the non-cooperative game model construction method of the obstacle avoidance process that integrates the vehicle driving risk in a complex traffic environment. Then it obtains the obstacle avoidance area that satisfies both the collision and rollover profit requirements based on the Nash equilibrium. A Kmeans-SMOTE risk clustering fusion is proposed in this paper, in which more sampling points are supplemented by the SMOTE oversampling method, and then the ideal obstacle avoidance area is obtained through clustering algorithm fusion to determine the optimal feasible area for obstacle avoidance trajectory planning. On this basis, to solve the convergence problems of the existing multi-objective particle swarm optimization algorithm and analyze the influence of weight parameters and the diversity of the optimization process, this paper proposes an anti-rollover trajectory planning method based on the improved cosine variable weight factor MOPSO algorithm. The simulation results show that the trajectory obtained based on the method proposed in this paper can effectively improve the anti-rollover performance of the controlled vehicle while avoiding obstacles. [ABSTRACT FROM AUTHOR]

Industrial policy based on Smart Specialisation emphasizes the exploitation of industrial linkages based on technological rather than intermediate product linkages. This paper develops microlevel analysis using the Organisation for Economic Co-operation and Development's (OECD) patent citation database on the intensity of technical relatedness depending on the cited and citing technological fields. The results are used to estimate the patterns of interregional knowledge spillovers in the European Union and explain spatial differences in patent growth. The approach to identifying spillovers provides an improved toolbox to guide implementation of Smart Specialisation policies. [ABSTRACT FROM AUTHOR]