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244 results on '"Yongpeng Zhang"'

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1. Profiles and natural drivers of antibiotic resistome in multiple environmental media in penguin-colonized area in Antarctica

2. JUNO sensitivity to invisible decay modes of neutrons

3. Analysis of the Relationship between Surface Soil Moisture and Precipitation over the Loess Plateau

4. Spatial and Temporal Distribution Characteristics of Dust Devils in the Qaidam Basin

5. Environmental radon control in the 700 m underground laboratory at JUNO

6. Prevalence and associated health and lifestyle factors of myopic maculopathy in northern China: the Kailuan eye study

7. Mass testing and characterization of 20-inch PMTs for JUNO

8. Security challenges and defense approaches for blockchain-based services from a full-stack architecture perspective

9. Damping signatures at JUNO, a medium-baseline reactor neutrino oscillation experiment

10. Model-independent Approach of the JUNO 8B Solar Neutrino Program

11. Study and Quantitative Analysis of Mode Localization in Wind Turbine Blades

12. Herpetic uveitis caused by herpes simplex virus after cataract surgery in a patient without prior viral keratitis or uveitis: a case report

13. The design and sensitivity of JUNO’s scintillator radiopurity pre-detector OSIRIS

14. Radioactivity control strategy for the JUNO detector

15. JUNO sensitivity to low energy atmospheric neutrino spectra

16. Calibration strategy of the JUNO experiment

17. Ocular Adverse Events after Inactivated COVID-19 Vaccination

18. Development of Synthetic DNA Circuit and Networks for Molecular Information Processing

19. An Entropic Approach to Estimating the Instability Criterion of People in Floodwaters

24. Iruplinalkib (WX‑0593), a novel ALK/ROS1 inhibitor, overcomes crizotinib resistance in preclinical models for non-small cell lung cancer

31. Tropopause folds over the Tibetan Plateau and their impact on water vapor in the upper troposphere-lower stratosphere

35. Security issues and defensive approaches in deep learning frameworks

49. Automated detection of severe diabetic retinopathy using deep learning method

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