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619 results on '"Yang, Litao"'

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1. RELICS: a REactor neutrino LIquid xenon Coherent elastic Scattering experiment

2. Study of cosmogenic activation in $^{76}$Ge enriched germanium detectors during fabrication and transportation above ground

3. TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification

5. Probing dark matter particles from evaporating primordial black holes via electron scattering in the CDEX-10 experiment

6. Leukocyte Classification using Multimodal Architecture Enhanced by Knowledge Distillation

7. Identification of the anomalous fast bulk events in a p-type point contact germanium detector

16. Neutrino Portal to FIMP Dark Matter with an Early Matter Era

17. Search for boosted dark matter with high-Z material in underground experiments

18. Results of direct dark matter detection with CDEX experiment at CJPL

20. Research on Photon Source Term in 90° of 15 MeV-3 GeV Electron Accelerator

31. The first result on 76Ge neutrinoless double beta decay from CDEX-1 experiment

32. Quadruplex Droplet Digital PCR Assay for Screening and Quantification of SARS-CoV-2.

33. Oligodeoxynucleotides containing CpG motifs (CpG‐ODN) restores immune regulatory functions of airway macrophages of patients with asthma.

34. Rare physical events at China Jinping underground laboratory

39. MATLAB simulation analysis of a 12-pulse rectifier circuit based on a power electronic transformer and its non-ideal state

41. Adjuvant albumin-bound paclitaxel combined with S-1 vs. oxaliplatin combined with capecitabine after D2 gastrectomy in patients with stage III gastric adenocarcinoma: a phase III multicenter, open-label, randomized controlled clinical trial protocol

49. Efficacy and safety of ripretinib in Chinese patients with advanced gastrointestinal stromal tumors: a real-world, multicenter, observational study

50. Deep learning radio-clinical signature for predicting neoadjuvant chemotherapy response and prognosis from pretreatment CT images of locally advanced gastric cancer patients

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