In high-energy heavy-ion collisions, jets traverse the quark-gluon plasma (QGP) and deposit energy into the medium, leading to jet-induced medium response. The medium response takes the form of Mach-cone-like excitations and can modify the internal structure of the jet, affecting many observables, such as jet shape and jet fragmentation function and so on. However, Simulation of jet-induced...
疼痛是一个重要的全球健康问题。当前的治疗方案在有效性和副作用等方面都存在缺陷，特别是一些治疗疼痛药物的不恰当使用会导致上瘾的风险，因此迫切需要改进疼痛治疗方法或者开发新药。随着人工智能技术的快速发展，机器学习算法在药物分子虚拟筛选方面具有广泛的应用。其中一个重要的应用是分子特征提取，即从分子的简化分子线性输入规范字符串 (SMILES) 中提取重要的分子结构信息从而进行分子属性预测，之后本研究根据疼痛的靶点钠离子通道，构建与钠离子通道相关的蛋白质-蛋白质相互作用网络，筛选 111 个抑制剂数据集，通过深度学习算法进行治疗疼痛化合物分子筛选，评估药物分子的 ADMET 特性（吸收、分布、代谢、排泄和毒性），确定最佳先导化合物。
In high-energy physics, accurately predicting cross sections of reaction processes relies heavily on the parton fragmentation functions (FFs). Conventional methods often require parameterized forms and additional calculations to ensure the FFs conform to the Dokshitzer-Gribov-Lipatov-Altarelli-Parisi (DGLAP) evolution equations, which can be cumbersome and may not fully capture the complexity...
