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1. Dosimetric rationale and preliminary experience in proton plus carbon-ion radiotherapy for esophageal carcinoma: a retrospective analysis

2. Application Status and Prospect of Ammonia Energy

3. A retrospective study of adjuvant proton radiotherapy for breast cancer after lumpectomy: a comparison of conventional-dose and hypofractionated dose

4. Dynamic equilibrium of cellular plasticity: The origin of diseases

5. P021: Long-term follow-up of cipaglucosidase alfa/miglustat in ambulatory and non-ambulatory patients with Pompe disease: An open-label phase I/II study (ATB200-02)

6. Bisphenol-A and phthalate metabolism in children with neurodevelopmental disorders.

7. Academic Stress and Mental Well-Being in College Students: Correlations, Affected Groups, and COVID-19

8. Efficient generation of multiqubit entanglement states using rapid adiabatic passage

9. High-fidelity and robust controlled-Z gates implemented with Rydberg atoms via echoing rapid adiabatic passage

10. Preliminary Safety and Efficacy of Proton Plus Carbon-Ion Radiotherapy With Concurrent Chemotherapy in Limited-Stage Small Cell Lung Cancer

11. MRI-based radiomics signature is a quantitative prognostic biomarker for nasopharyngeal carcinoma

12. Experimental Verification of Human Body Communication Path Gain Channel Modeling for Muscular-Tissue Characteristics

13. Miscibility of Binary Bose-Einstein Condensates with $p$-wave Interaction

19. COVID-19 in Pediatric Inpatients: A Multi-Center Observational Study of Factors Associated with Negative Short-Term Outcomes

20. Treatment of vagus nerve stimulator-induced sleep-disordered breathing: A case series

25. Fermi level depinning via insertion of a graphene buffer layer at the gold-2D tin monoxide contact

44. Machine learning for predicting fatigue properties of additively manufactured materials

45. Cyclic nonlinear interferometry with entangled non-Gaussian spin states

46. Prediction and analysis of mining subsidence in Longdong Coal Mine

47. Digital Twin-Based Machinability Reasoning for Machined Parts

48. Deep Learning Models for Inventory Decisions: A Comparative Analysis

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