关注炎症性肠病(Inflammatory bowel disease,IBD)患者的心理健康及生活质量尤为重要,亟需改善患者精神状态的非药物治疗策略,本研究发现运动可能是一种有效辅助治疗IBD的手段。经检索PubMed、the Cochrane Library、Embase、Web of Science、CNKI和 WanFang Data等数据库,由2位研究者独立筛选文献、提取资料并评价偏倚风险;采用 Stata 16.0 进行 Meta 分析,Begg's 检验评估发表偏倚,逐一剔除法进行敏感性分析。最后共纳入7篇文献(含11项研究),发现:运动干预后,患者的心理健康(SMD= 0.40,95% CI 0.19~0.61,P < 0.01)和生活质量(SMD= 0.36,95% CI 0.16~0.55,P < 0.01)显著改善;而 C反应蛋白(SMD = -0.19,95% CI -0.55~0.17,P= 0.30)和粪钙卫蛋白(WMD= 18.59,95% CI -25.44~62.61,P= 0.41)水平与对照组相比无显著差异。本研究提示,运动干预可能改善IBD患者的心理健康和生活质量,但未显著改变其CRP和FC水平,因置信区间较宽,不能排除潜在影响。运动对IBD炎症状态的影响仍需大样本随机对照试验验证。合理的运动处方可能作为改善IBD患者心理健康和生活质量的辅助手段,其安全性需进一步确认。
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
It is proved that any global minimizer of the trajectory balance objective can define a policy that samples exactly from the target distribution, and empirically demonstrate the benefits of the trajectories balance objective for GFlowNet convergence, diversity of generated samples, and robustness to long action sequenc...
Esmeralda S. Whitammer, Moksh Jain, Emmanuel Bengio et al.· Neural Information Processin...· 302 citations· ⚡60
Related blog posts
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.