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1. MicroRNAs in Hepatocellular Carcinoma: Insights into Regulatory Mechanisms, Clinical Significance, and Therapeutic Potential

2. SEMA7A as a Novel Prognostic Biomarker and Its Correlation with Immune Infiltrates in Breast Cancer

5. The efficiency of electron acceleration by ICME-driven shocks

7. Suprathermal electron acceleration by a quasi-perpendicular shock: simulations and observations

8. Real-Time Attack-Recovery for Cyber-Physical Systems Using Linear Approximations

9. Comprehensive Explorations of CCL28 in Lung Adenocarcinoma Immunotherapy and Experimental Validation

10. PETSc/TAO Users Manual Revision 3.20

14. Advances in Antibody-Drug Conjugates in the Treatment of HER2-Positive Breast Cancer

15. Spin constrained orbital angular momentum control in high-harmonic generation

16. Effects of shock and turbulence properties on electron acceleration

21. Numerical simulations of particle acceleration at interplanetary quasi-perpendicular shocks

22. Study of time evolution of the bend-over energy in the energetic particle spectrum at a parallel shock

26. Integrating Network Pharmacology and Experimental Verification to Explore the Mechanism of Effect of Zuojin Pills in Pancreatic Cancer Treatment

28. Quantifying perinatal transmission of Hepatitis B viral quasispecies by tag linkage deep sequencing

31. Fixed/preassigned-time output synchronization for T–S fuzzy complex networks via quantized control

33. The Prognostic Role and Nomogram Establishment of a Novel Prognostic Score Combining with Fibrinogen and Albumin Levels in Patients with WHO Grade II/III Gliomas

35. Friction and wear performance of electrospark deposited Ni/C-MoS2 self-lubricating coating.

48. Combination of Brachytherapy with Iodine-125 Seeds and Systemic Chemotherapy versus Systemic Chemotherapy Alone for Synchronous Extracranial Oligometastatic Non-Small Cell Lung Cancer

49. Long Non-Coding RNA AGAP2-AS1/miR-628-5p/PTN Axis Modulates Proliferation, Migration, Invasion, and Apoptosis of Glioma Cells

50. Network Pharmacology-Based Prediction and Verification of the Active Ingredients and Potential Targets of Zuojinwan for Treating Colorectal Cancer

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