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| 1 | Correlation between the cumulative analgesic effect of electroacupuncture intervention and synaptic plasticity of hypothalamic paraventricular nucleus neurons in rats with sciatica显示文摘In the present study, a rat model of chronic neuropathic pain was established by ligation of the sciatic nerve and a model of learning and memory impairment was established by ovariectomy to investigate the analgesic effect of repeated electroacupuncture stimulation at bilateral Zusanli (ST36) and Yanglingquan (GB34). In addition, associated synaptic changes in neurons in the paraventricular nucleus of the hypothalamus were examined. Results indicate that the thermal pain threshold (paw withdrawal latency) was significantly increased in rats subjected to 2-week electroacupuncture intervention compared with 2-day electroacupuncture, but the analgesic effect was weakened remarkably in ovariectomized rats with chronic constrictive injury. 2-week electroacupuncture intervention substantially reversed the chronic constrictive injury-induced increase in the synaptic cleft width and thinning of the postsynaptic density. These findings indicate that repeated electroacupuncture at bilateral Zusanli and Yanglingquan has a cumulative analgesic effect and can effectively relieve chronic neuropathic pain by remodeling the synaptic structure of the hypothalamic paraventricular nucleus. | Qiuling Xu Tao Liu Shuping Chen Yonghui Gao Junying Wang Lina Qiao Junling Liu | 2013 | Neural Regeneration Research2013，8，3： | 6 |
| 2 | Machine learning aided design of perovskite oxide materials for photocatalytic water splitting显示文摘Suffering from the inefficient traditional trial-and-error methods and the huge searching space filled by millions of candidates, discovering new perovskite visible photocatalysts with higher hydrogen production rate(RH_(2)) still remains a challenge in the field of photocatalytic water splitting(PWS). Herein, we established structural-property models targeted to RH_(2) and the proper bandgap(Eg) via machine learning(ML) technology to accelerate the discovery of efficient perovskite photocatalysts for PWS. The Pearson correlation coefficients(R) of leave-one-out cross validation(LOOCV) were adopted to compare the performances of different algorithms including gradient boosting regression(GBR), support vector regression(SVR), backpropagation artificial neural network(BPANN), and random forest(RF). It was found that the BPANN model showed the highest R values from LOOCV and testing data of 0.9897 and 0.9740 for RH_(2),while the GBR model had the best values of 0.9290 and 0.9207 for Eg. Furtherly, 14 potential PWS perovskite candidates were screened out from 30,000 ABO3-type perovskite structures under the criteria of structural stability, Eg, conduction band energy, valence band energy and RH_(2). The average RH_(2) of these14 perovskites is 6.4% higher than the highest value in the training data set. Moreover, the online web servers were developed to share our prediction models, which could be accessible in http://gffzz63fbdfd3a8d8472dh5vnwpb0nbk966xq6.ffgz.tsg.suse.edu.cn/ocpmdm/material_api/ahfga3d9puqlknig(E_g prediction) and http://gffzzb41aaebde6114c49h5vnwpb0nbk966xq6.ffgz.tsg.suse.edu.cn/ocpmdm/material_api/i0 ucuyn3 wsd14940(RH_(2) prediction). | Qiuling Tao Tian Lu Ye Sheng Long Li Wencong Lu Minjie Li | 2021 | Journal of Energy Chemistry2021，30，9： | 5 |
| 3 | Machine learning for perovskite materials design and discovery显示文摘The development of materials is one of the driving forces to accelerate modern scientific progress and technological innovation.Machine learning(ML)technology is rapidly developed in many fields and opening blueprints for the discovery and rational design of materials.In this review,we retrospected the latest applications of ML in assisting perovskites discovery.First,the development tendency of ML in perovskite materials publications in recent years was organized and analyzed.Second,the workflow of ML in perovskites discovery was introduced.Then the applications of ML in various properties of inorganic perovskites,hybrid organic–inorganic perovskites and double perovskites were briefly reviewed.In the end,we put forward suggestions on the future development prospects of ML in the field of perovskite materials. | Qiuling Tao Pengcheng Xu Minjie Li Wencong Lu | 2021 | npj Computational Materials2021，，1： | 4 |
| 4 | Single-cell transcriptomic landscape of human blood cells显示文摘High throughput single-cell RNA-seq has been successfully implemented to dissect the cellular and molecular features underlying hematopoiesis.However,an elaborate and comprehensive transcriptome reference of the whole blood system is lacking.Here,we profiled the transcriptomes of 7551 human blood cells representing 32 immunophenotypic cell types,including hematopoietic stem cells,progenitors and mature blood cells derived from 21 healthy donors.With high sequencing depth and coverage,we constructed a single-cell transcriptional atlas of blood cells(ABC) on the basis of both protein-coding genes and long noncoding RNAs(lncRNAs),and showed a high consistence between them.Notably,putative lncRNAs and transcription factors regulating hematopoietic cell differentiation were identified.While common transcription factor regulatory networks were activated in neutrophils and monocytes,lymphoid cells dramatically changed their regulatory networks during differentiation.Furthermore,we showed a subset of nucleated erythrocytes actively expressing immune signals,suggesting the existence of erythroid precursors with immune functions.Finally,a web portal offering transcriptome browsing and blood cell type prediction has been established.Thus,our work provides a transcriptional map of human blood cells at single-cell resolution,thereby offering a comprehensive reference for the exploration of physiological and pathological hematopoiesis. | Xiaowei Xie Mengyao Liu Yawen Zhang Bingrui Wang Caiying Zhu Chenchen Wang Qing Li Yingying Huo Jiaojiao Guo Changlu Xu Linping Hu Aiming Pang Shihui Ma Una Wang Wenbin Cao Shulian Chen Qiuling Li Sudong Zhang Xueying Zhao Wen Zhou Hongbo Luo Guoguang Zheng Erlie Jiang Sizhou Feng Lixiang Chen Lihong Shi Hui Cheng Sha Hao Ping Zhu Tao Cheng | 2021 | National Science Review2021，8，3： | 3 |
| 5 | Clinical Benefit of Epidermal Growth Factor Receptor-Tyrosine Kinase Inhibitors Plus Radiotherapy for Epidermal Growth Factor Receptor-Mutated Metastatic Non-Small Cell Lung Cancer: A Retrospective Analysis on Real World Data显示文摘Objective: To investigate the benefit of epidermal growth factor receptor( EGFR) tyrosine kinase inhibitors( TKIs)with radiotherapy in patients with EGFR mutation-positive metastatic non-small cell lung cancer( NSCLC),compared with TKIs alone.Methods: A total of 103 patients with stage Ⅳ EGFR-mutated NSCLC treated from February 2015 to May 2017 at Sichuan Cancer Hospital were analyzed retrospectively. Fifty patients were treated with EGFR-TKIs( gefitinib or erlotinib) plus radiotherapy( the TKI +RT group) and 53 patients received EGFR-TKIs alone( the TKI group). Tumor response,survival and toxicities were compared between the two groups. Results: Median follow-up time was 11. 7 months( 2. 8-36. 3 months). The overall response rate( ORR) and disease control rate( DCR) in the TKI + RT group vs the TKI group were 62% vs 37. 7%( P = 0. 014) and 88% vs 75. 5%( P =0. 101),respectively. The median progression-free survival( PFS) and median overall survival( OS) in the TKI + RT group were superior to those of the TKI group( 18. 87 months vs 12. 80 months,P = 0. 035 and 23. 10 months vs 18. 30 months,P = 0. 011). OS rates in the TKI + RT group and the TKI group were 56. 0% vs 35. 8% at year 1( P = 0. 04) and 16. 0% vs 3. 8% at year 2( P =0. 036). Multivariate Cox model found that TKI + RT related to significantly better OS( hazard ratio = 0. 209;95% CI,0. 066 to0. 661;P = 0. 008) than TKI alone. Adverse events did not differ significantly between the two groups( P > 0. 050). Conclusion:Compared with EGFR-TKIs alone,EGFR-TKIs combined with radiotherapy was well tolerated and showed benefit in tumor response and survival for EGFR mutation-positive metastatic NSCLC patients. | Wang Ranlin Li Tao Lv Jiahua Sun Chang Shi Qiuling | 2019 | 肿瘤预防与治疗2019，32，5： | 2 |
| 6 | Ultrasound diagnosis about branchial cyst in parotid显示文摘 | Shi Qiuling Hui Luo Yang Jiao Tao Liu Jun Lu | 2014 | International English Education Research2014，，2： | 0 |
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