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Nanoscale|June 3, 2017
Enhanced electrical conductivity and piezoresistive sensing in multi-wall carbon nanotubes/polydimethylsiloxane nanocomposites via the construction of a self-segregated structureMing Wang, Kai Zhang, Xin-Xin Dai, et al.
Cancer|November 17, 2007
A 35-year retrospective study of carcinoid tumors in Taiwan: differences in distribution with a high probability of associated second primary malignanciesAnna Fen-Yau Li, Chih-Yi Hsu, Alice Li, et al.
Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi = Chinese Journal of Cellular and Molecular Immunology|May 12, 2011
[Construction and expression of the eukaryotic expression vector carrying HSV-1 gC glycoprotein gene]Yin-li Dang, Yan Yan, Xiao-xiao Zhang, et al.
Nan Fang Yi Ke Da Xue Xue Bao = Journal of Southern Medical University|June 22, 2011
[Laparoendoscopic single-site surgery for male pseudohermaphroditism: the initial report]Yong Wen, A-bai Xu, Shao-bo Zheng, et al.
Optics Letters|July 1, 2021
Nanosecond pulsed deep-red laser source by intracavity frequency-doubled crystalline Raman laserHui Zhao, Ke-Yin Li, Shi-Bo Dai, et al.
Ebiomedicine|September 26, 2022
Integrating microarray-based spatial transcriptomics and single-cell RNA-sequencing reveals tissue architecture in esophageal squamous cell carcinomaWei Guo, Bolun Zhou, Zhenlin Yang, et al.
Annals of Translational Medicine|April 18, 2022
Neoadjuvant therapy combined with surgery is superior to chemoradiotherapy in esophageal squamous cell cancer patients with resectable supraclavicular lymph node metastasis: a propensity score-matched analysisYongkui Yu, Lei Xu, Xiankai Chen, et al.
Histopathology|July 1, 2017
Human papillomavirus-related carcinoma with adenoid cystic-like features: a series of five cases expanding the pathological spectrumJen-Fan Hang, Min-Shu Hsieh, Wing-Yin Li, et al.
Frontiers in Oncology|February 6, 2023
Comparative genomic analysis of esophageal squamous cell carcinoma among different geographic regionsRuixiang Zhang, Canjun Li, Zhiyi Wan, et al.
Frontiers in Oncology|February 21, 2025
A pelvis MR transformer-based deep learning model for predicting lung metastases risk in patients with rectal cancerYin Li, Shuang Li, Ruolin Xiao, et al.
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