日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Iodine-Based Electrolyte Chemistry Enabling Reversible Ca Metal Anodes

碘基电解液化学实现可逆钙金属阳极

Hou, Zhen; Liu, Kai; Zhou, Rui; Tsang, Chi Shing; Zhao, Jiong; Zhu, Junwu; Zhang, Biao

In situ chromatin dynamics and HIV-1 nuclear trafficking

原位染色质动力学和HIV-1核转运

Hou, Zhen; Shen, Yao; Chen, Long; Shen, Juan; Stuart, David I; Zhang, Peijun

HIV-1 nuclear import is selective and depends on both capsid elasticity and nuclear pore adaptability.

HIV-1 核输入具有选择性,取决于衣壳弹性和核孔适应性

Hou Zhen, Shen Yao, Fronik Stanley, Shen Juan, Shi Jiong, Xu Jialu, Chen Long, Hardenbrook Nathan, Engelman Alan N, Aiken Christopher, Zhang Peijun

In-cell structure and variability of pyrenoid Rubisco

细胞内蛋白核 Rubisco 的结构和变异性

Elad, Nadav; Hou, Zhen; Dumoux, Maud; Ramezani, Alireza; Perilla, Juan R; Zhang, Peijun

In-cell chromatin structure by Cryo-FIB and Cryo-ET

利用冷冻聚焦离子束(Cryo-FIB)和冷冻电镜(Cryo-ET)技术研究细胞内染色质结构。

Hou, Zhen; Zhang, Peijun

Direct visualization of HIV-1 core nuclear import and its interplay with the nuclear pore.

HIV-1核心核输入及其与核孔相互作用的直接可视化。

Hou Zhen, Fronik Stanley, Shen Yao, Chen Long, Thompson Christopher, Neumann Sarah, Zhang Peijun

Emergency planned re-infusion therapy and hospitalisation for community-acquired pneumonia: a retrospective case-control study

社区获得性肺炎的紧急计划性再输液治疗和住院治疗:一项回顾性病例对照研究

Chen, Sheng-Xian; Yang, Zhi-Kai; Lin, Lin; Liao, Hou-Zhen; Xiang, Xiao-Ting; Liu, Di; Huang, Jian-Shan

Deep learning-powered radiotherapy dose prediction: clinical insights from 622 patients across multiple sites tumor at a single institution

基于深度学习的放射治疗剂量预测:来自同一机构 622 例多部位肿瘤患者的临床见解

Hou, Zhen; Qin, Lang; Gu, Jiabing; Liu, Zidong; Liu, Juan; Zhang, Yuan; Gao, Shanbao; Zhu, Jian; Li, Shuangshuang

Transcriptomic analysis of maize leaves under different irrigation treatments in field conditions

田间不同灌溉处理下玉米叶片转录组分析

Li, Yuan-Xin; Li, Ru-Zhi; Yang, Jing; Wang, Zhi-Wei; Li, Xiao-Guang; Yi, Hou-Zhen; Guo, Xin-Ping; Zhou, Hang; Jia, Kai-Hua; Chu, Peng-Fei

Enhancing medical coding efficiency through domain-specific fine-tuned large language models

通过领域特定的微调大型语言模型提高医学编码效率

Hou, Zhen; Liu, Hao; Bian, Jiang; He, Xing; Zhuang, Yan