|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | The roles of ADIPOQ genetic variations in cancer risk: evidence from published studies显示文摘 | Yeqiong Xu Bangshun He Yuqin Pan Ling Gu Zhenlin Nie Liping Chen Rui Li Tianyi Gao Shukui Wang | 2013 | Molecular Biology Reports2013，，2： | 1 |
| 2 | Apo ε4 allele increases the risk for exercise-induced silent myocardial isehemia in non-insulin-dependent diabetes mellitus显示文摘 | Xiang Guangda Xia Bangshun Li Xiujian | 1999 | Athero6eleresis1999，147，2： | 1 |
| 3 | Apo ε4 allele increases the risk for exercise-induced silent myocardial isehemia in non-insulin-dependent diabetes mellitus显示文摘 | Xiang Guangda Xia Bangshun Li Xiujian | 1999 | Atherosclerosis1999，147，2： | 1 |
| 4 | An Efficient Sleep Spindle Detection Algorithm Based on MP and LSBoost显示文摘Sleep spindles are an electroencephalogram(EEG)biomarker of non-rapid eye movement(NREM)sleep and have important implications for clinical diagnosis and prognosis.However,it is challenging to accurately detect sleep spindles due to the complexity of the human brain and the uncertainty of neural mechanisms.To improve the reliability and objectivity of sleep spindle detection and to compensate for the limitations of manual annotation,this study proposes a new automatic detection algorithm based on Matching Pursuit(MP)and Least Squares Boosting(LSBoost),where the automatic sleep spindle detection algorithm can help reduce the visual annotation workload of sleep clinicians.Specifically,MP is a time-frequency analysis method suitable for extracting spindle wave characteristics,which can accurately locate spindle waves on a time-frequency plane.LSBoost is an ensemble learning classification method to deal with unbalanced data.Initially,theMP method is used to search for EEG segments that are possible spindle waves from the filtered raw EEG data.Then,the designed feature segments are thrown into the LSBoost classifier to further identify the real spindles from all candidates and output the final results.The proposed method is verified on the common public dataset DREAMS.The experiment results showthat the sensitivity and F1-scores based on the sample-based assessments achieve 68.2% and 55.4%,respectively.Furthermore,the Recall and F1-score based on the event assessments are 83.8% and 70.8%,respectively.These results show that the proposed algorithm is robust to the subject changes in the DREAMS dataset.In addition,it improves the quality of sleep spindle detection,which is expected to assist the manual marking of experts. | Fei Wang Li Li Yinxing Wan Zhuorong Li Lixian Luo Bangshun Hu Jiahui Pan Zhenfu Wen Haiyun Huang | 2023 | Computers, Materials & Continua2023，76，8： | 0 |
| 5 | Logic-gated tumor-microenvironment nanoamplifier enables targeted delivery of CRISPR/Cas9 for multimodal cancer therapy显示文摘Recent innovations in nanomaterials inspire abundant novel tumor-targeting CRISPR-based gene therapies.However,the therapeutic efficiency of traditional targeted nanotherapeutic strategies is limited by that the biomarkers vary in a spatiotemporal-dependent manner with tumor progression.Here,we propose a self-amplifying logic-gated gene editing strategy for gene/H_(2)O_(2)-mediated/starvation multimodal cancer therapy.In this approach,a hypoxia-degradable covalent-organic framework(COF) is synthesized to coat a-ZIF-8 in which glucose oxidase(GOx) and CRISPR system are packaged.To intensify intracellular redox dyshomeostasis,DNAzymes which can cleave catalase mRNA are loaded as well.When the nano system gets into the tumor,the weakly acidic and hypoxic microenvironment degrades the ZIF-8@COF to activate GOx,which amplifies intracellular H^(+)and hypoxia,accelerating the nanocarrier degradation to guarantee available CRISPR plasmid and GOx release in target cells.These tandem reactions deplete glucose and oxygen,leading to logic-gated-triggered gene editing as well as synergistic gene/H_(2)O_(2)-mediated/starvation therapy.Overall,this approach highlights the biocomputing-based CRISPR delivery and underscores the great potential of precise cancer therapy. | Yongchun Pan Xiaowei Luan Fei Zeng Xuyuan Wang Shurong Qin Qianglan Lu Guanzhong He Yanfeng Gao Xiaolian Sun Xin Han Bangshun He Yujun Song | 2024 | Acta Pharmaceutica Sinica B2024，14，2： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员