In the context of large language model(LLM)reshaping software engineering education,this paper presents OSSerCopilot,a LLM-based tutoring system designed to address the critical challenge faced by newcomers(especially...In the context of large language model(LLM)reshaping software engineering education,this paper presents OSSerCopilot,a LLM-based tutoring system designed to address the critical challenge faced by newcomers(especially student contributors)in open source software(OSS)communities.Leveraging natural language processing,code semantic understanding,and learner profiling,the system functions as an intelligent tutor to scaffold three core competency domains:contribution guideline interpretation,project architecture comprehension,and personalized task matching.By transforming traditional onboarding barriers-such as complex contribution documentation and opaque project structures-into interactive learning journeys,OSSerCopilot enables newcomers to complete their first OSS contribution more easily and confidently.This paper highlights how LLM technologies can redefine software engineering education by bridging the gap between theoretical knowledge and practical OSS participation,offering implications for curriculum design,competency assessment,and sustainable OSS ecosystem cultivation.A demonstration video of the system is available at https://figshare.com/articles/media/OSSerCopilot_Introduction_mp4/29510276.展开更多
目的:探讨3D打印个性化钛网的引导骨再生(guided bone regeneration,GBR)术及富血小板纤维蛋白(platelet-rich fibrin,PRF)/Bio-Oss复合物修复牙槽骨缺损的应用。方法:纳入2021年3月至2024年2月于甘肃省中医院口腔颌面外科行GBR骨增量...目的:探讨3D打印个性化钛网的引导骨再生(guided bone regeneration,GBR)术及富血小板纤维蛋白(platelet-rich fibrin,PRF)/Bio-Oss复合物修复牙槽骨缺损的应用。方法:纳入2021年3月至2024年2月于甘肃省中医院口腔颌面外科行GBR骨增量手术的牙槽骨缺损患者68例,随机分为3D组(n=34)与传统组(n=34),3D组使用3D打印个性化钛网及PRF/BioOss复合物,传统组使用传统钛网及PRF/Bio-Oss复合物。对比2组术后2、4、6个月的牙槽骨增加高度、宽度、体积及并发症发生率。结果:3D组术后2、4、6个月的牙槽骨增加高度、宽度与传统组相比,但差异均无统计学意义(P>0.05)。3D组术后2个月、4个月的牙槽骨增加体积均高于传统组,但差异均无统计学意义(P>0.05),术后6个月时牙槽骨增加体积显著高于传统组(P<0.05)。3D组发生早期暴露、晚期暴露、总暴露、创口感染的比例均低于传统组,但差异均无统计学意义(P>0.05)。结论:3D打印个性化钛网及PRF/Bio-Oss复合物的GBR术修复牙槽骨缺损效果良好,术后6个月骨增加体积显著高于应用传统钛网的GBR术,且不影响其安全性,值得临床推广应用。展开更多
相较于5G时代,运营商的运营支撑系统(operation support systems,OSS)将在6G时代迎来算力、存力及网络实时分析等全新数据的融入。针对6G网络数据量庞大、格式多元化及实时性要求严苛等现状,提出6G OSS域基于数据面的数据治理体系构建思...相较于5G时代,运营商的运营支撑系统(operation support systems,OSS)将在6G时代迎来算力、存力及网络实时分析等全新数据的融入。针对6G网络数据量庞大、格式多元化及实时性要求严苛等现状,提出6G OSS域基于数据面的数据治理体系构建思路,并提出具体方案,包括6G OSS域数据治理顶层战略设计、数据面功能架构设计、数据治理能力开发底座设计、数据治理成果智能应用设计,通过知识图谱赋予数据快速响应和推理能力,同时利用专家知识和人工智能(artificial intelligence,AI)算法构建6G OSS域特征数据集,为进一步的网络智能感知、预测、优化提供重要支撑,以期为数据治理工作提供参考。展开更多
基金supported by the National Natural Science Foundation of China (62202022, 92582204, and 62572030)the Fundamental Research Funds for the Central Universitiesthe exploratory elective projects of the State Key Laboratory of Complex and Critical Software Environments
文摘In the context of large language model(LLM)reshaping software engineering education,this paper presents OSSerCopilot,a LLM-based tutoring system designed to address the critical challenge faced by newcomers(especially student contributors)in open source software(OSS)communities.Leveraging natural language processing,code semantic understanding,and learner profiling,the system functions as an intelligent tutor to scaffold three core competency domains:contribution guideline interpretation,project architecture comprehension,and personalized task matching.By transforming traditional onboarding barriers-such as complex contribution documentation and opaque project structures-into interactive learning journeys,OSSerCopilot enables newcomers to complete their first OSS contribution more easily and confidently.This paper highlights how LLM technologies can redefine software engineering education by bridging the gap between theoretical knowledge and practical OSS participation,offering implications for curriculum design,competency assessment,and sustainable OSS ecosystem cultivation.A demonstration video of the system is available at https://figshare.com/articles/media/OSSerCopilot_Introduction_mp4/29510276.
文摘目的:探讨3D打印个性化钛网的引导骨再生(guided bone regeneration,GBR)术及富血小板纤维蛋白(platelet-rich fibrin,PRF)/Bio-Oss复合物修复牙槽骨缺损的应用。方法:纳入2021年3月至2024年2月于甘肃省中医院口腔颌面外科行GBR骨增量手术的牙槽骨缺损患者68例,随机分为3D组(n=34)与传统组(n=34),3D组使用3D打印个性化钛网及PRF/BioOss复合物,传统组使用传统钛网及PRF/Bio-Oss复合物。对比2组术后2、4、6个月的牙槽骨增加高度、宽度、体积及并发症发生率。结果:3D组术后2、4、6个月的牙槽骨增加高度、宽度与传统组相比,但差异均无统计学意义(P>0.05)。3D组术后2个月、4个月的牙槽骨增加体积均高于传统组,但差异均无统计学意义(P>0.05),术后6个月时牙槽骨增加体积显著高于传统组(P<0.05)。3D组发生早期暴露、晚期暴露、总暴露、创口感染的比例均低于传统组,但差异均无统计学意义(P>0.05)。结论:3D打印个性化钛网及PRF/Bio-Oss复合物的GBR术修复牙槽骨缺损效果良好,术后6个月骨增加体积显著高于应用传统钛网的GBR术,且不影响其安全性,值得临床推广应用。
