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Kai Han

Showing results (151-160 of 440) with videos related to

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Physical Chemistry Chemical Physics : PCCP|November 10, 2022
Understanding the influence of Bi/Sb substitution on carrier concentration in Mg<sub>3</sub>Sb<sub>2</sub>-based materials: decreasing bandgap enhances the degree of impurity ionizationJuan Li, Fei Jia, Kai Han, et al.
Biochemical and Biophysical Research Communications|April 9, 2024
Non-cytotoxic nanomolar concentration of arctigenin protects neuronal cells from chemotherapy-induced ferroptosis by regulating SLC7A11-cystine-cysteine axisZhuoqun Li, Lixing Cao, Kai Han, et al.
International Journal of Nanomedicine|December 10, 2020
Potential Applications of Nanomaterials and Technology for Diabetic Wound HealingQue Bai, Kai Han, Kai Dong, et al.
The Cochrane Database of Systematic Reviews|August 8, 2013
Laquinimod for multiple sclerosisDian He, Kai Han, Xiangdong Gao, et al.
Nurse Education Today|September 30, 2022
Effects of reflective learning based on visual mind mapping in the fundamentals of nursing course: A quasi-experimental studyKai-Han Yang, Hong Chen, Chun-Juan Liu, et al.
Optics Express|December 2, 2023
Efficient and noise-resistant single-pixel imaging based on Pseudo-Zernike momentsGuozhong Lei, Wenchang Lai, Qi Meng, et al.
Light, Science & Applications|August 29, 2024
Hybrid Eu(II)-bromide scintillators with efficient 5d-4f bandgap transition for X-ray imagingKai Han, Jiance Jin, Yuzhen Wang, et al.
Chemical Communications (Cambridge, England)|December 11, 2014
Dual stimuli-responsive multi-drug delivery system for the individually controlled release of anti-cancer drugsWang Xiao, Xuan Zeng, Hang Lin, et al.
Diabetes Research and Clinical Practice|August 24, 2017
Genome-wide DNA methylation variation in maternal and cord blood of gestational diabetes populationJessica Kang, Chien-Nan Lee, Hung-Yuan Li, et al.
Journal of Occupational and Environmental Medicine|January 12, 2026
Prediction of the preclinical stage of coal workers' pneumoconiosis on non-imaging data integrating prior knowledge and machine learningFengtao Cui, Hui Xu, Yankun Ma, et al.
Pageof 44

Showing results (151-160 of 440) with videos related to

Sort By:
Pageof 44
Physical Chemistry Chemical Physics : PCCP|November 10, 2022
Understanding the influence of Bi/Sb substitution on carrier concentration in Mg<sub>3</sub>Sb<sub>2</sub>-based materials: decreasing bandgap enhances the degree of impurity ionizationJuan Li, Fei Jia, Kai Han, et al.
Biochemical and Biophysical Research Communications|April 9, 2024
Non-cytotoxic nanomolar concentration of arctigenin protects neuronal cells from chemotherapy-induced ferroptosis by regulating SLC7A11-cystine-cysteine axisZhuoqun Li, Lixing Cao, Kai Han, et al.
International Journal of Nanomedicine|December 10, 2020
Potential Applications of Nanomaterials and Technology for Diabetic Wound HealingQue Bai, Kai Han, Kai Dong, et al.
The Cochrane Database of Systematic Reviews|August 8, 2013
Laquinimod for multiple sclerosisDian He, Kai Han, Xiangdong Gao, et al.
Nurse Education Today|September 30, 2022
Effects of reflective learning based on visual mind mapping in the fundamentals of nursing course: A quasi-experimental studyKai-Han Yang, Hong Chen, Chun-Juan Liu, et al.
Optics Express|December 2, 2023
Efficient and noise-resistant single-pixel imaging based on Pseudo-Zernike momentsGuozhong Lei, Wenchang Lai, Qi Meng, et al.
Light, Science & Applications|August 29, 2024
Hybrid Eu(II)-bromide scintillators with efficient 5d-4f bandgap transition for X-ray imagingKai Han, Jiance Jin, Yuzhen Wang, et al.
Chemical Communications (Cambridge, England)|December 11, 2014
Dual stimuli-responsive multi-drug delivery system for the individually controlled release of anti-cancer drugsWang Xiao, Xuan Zeng, Hang Lin, et al.
Diabetes Research and Clinical Practice|August 24, 2017
Genome-wide DNA methylation variation in maternal and cord blood of gestational diabetes populationJessica Kang, Chien-Nan Lee, Hung-Yuan Li, et al.
Journal of Occupational and Environmental Medicine|January 12, 2026
Prediction of the preclinical stage of coal workers' pneumoconiosis on non-imaging data integrating prior knowledge and machine learningFengtao Cui, Hui Xu, Yankun Ma, et al.
Pageof 44