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1. The clinical characteristics of Hirayama disease in females

2. The role of leisure-time physical activity in maintaining cervical lordosis after anterior cervical fusion and its impact on the motor function in patients with hirayama disease: a retrospective cohort analysis

3. Transglutaminase-Cross-Linked Tofu Suppressed Soybean-Induced Allergic Reactions by Enhancing Intestinal Mucosa Immune Tolerance

4. A case report of an endometriosis cyst at cesarean scar defect and review of literature

5. Biomechanical effects of interbody cage height on adjacent segments in patients with lumbar degeneration: a 3D finite element study

6. Preoperative dynamic quantitative sensory testing in remote pain-free areas is associated with axial pain after posterior cervical spinal surgeries

7. A study of screw placement to obtain the optimal pull-out resistance of lumbar pedicle screws—analysis of Hounsfield units measurements based on computed tomography

8. How to reconstruct the lordosis of cervical spine in patients with Hirayama disease? A finite element analysis of biomechanical changes focusing on adjacent segments after anterior cervical discectomy and fusion

9. Can preoperative cervical spinal diffusion tensor imaging (DTI) indices predict surgical outcomes in patients with Hirayama disease? A retrospective cohort study

10. The radiological and electrophysiological characteristics of Hirayama disease with proximal involvement: A retrospective study

11. The Relationship Between Academic Encouragement and Academic Self-Efficacy: A Moderated Mediation Model

12. MSC-Derived Exosomes Protect Vertebral Endplate Chondrocytes against Apoptosis and Calcification via the miR-31-5p/ATF6 Axis

13. Preparation of antibacterial and osteoconductive 3D-printed PLGA/Cu(I)@ZIF-8 nanocomposite scaffolds for infected bone repair

14. Update on the Pathogenesis, Clinical Diagnosis, and Treatment of Hirayama Disease

15. Bibliometric and visualized analysis of current research trends in the finite element analysis of lumbar spine

16. Dual drugs release from nanoporously bioactive coating on polyetheretherketone for enhancement of antibacterial activity, rBMSCs responses and osseointegration

17. Ecto-5′-nucleotidase (CD73) attenuates inflammation after spinal cord injury by promoting macrophages/microglia M2 polarization in mice

18. The value of applying a melatonin antagonist (Luzindole) in improving the success rate of the bipedal rat scoliosis model

20. Altered central pain processing assessed by quantitative sensory testing in patients with failed back surgery syndrome

21. Gut microbiota: A target for prebiotics and probiotics in the intervention and therapy of food allergy

22. Association Between Roussouly Classification and Characteristics of Lumbar Degeneration

24. Sulforaphane Delays Intervertebral Disc Degeneration by Alleviating Endoplasmic Reticulum Stress in Nucleus Pulposus Cells via Activating Nrf-2/HO-1

25. The clinical characteristics of Hirayama disease in females

26. The Short-Term to Midterm Follow-Up of Patients with Hirayama Disease After Anterior Cervical Discectomy and Fusion

27. Preoperative electrophysiologic assessment of C5-innervated muscles in predicting C5 palsy after posterior cervical decompression

28. Melatonin Alleviates Radiculopathy Against Apoptosis and NLRP3 Inflammasomes Via the Parkin-Mediated Mitophagy Pathway

29. The Influence of 'Loss of Attachment' on the Outcome of Anterior Cervical Fusion Procedures in Patients With Hirayama Disease

30. Comparison of time-dependent resistance isometric exercise and active range of motion exercise in alleviating the sensitization of postoperative axial pain after cervical laminoplasty

31. Roles of circular RNAs in the pathogenesis of intervertebral disc degeneration (Review)

32. Adjacent Intervertebral Disk Height Decrease Phenomenon After Single-Level Transforaminal Lumbar Interbody Fusion of the Lumbar Spine

33. Behavior and analysis of unsymmetrical double barrel precast concrete box culverts with posttensioning bars

34. Factors Affecting the Surgical Outcomes of Hirayama Disease: A Retrospective Analysis of Preoperative Magnetic Resonance Imaging Features of the Cervical Spine

35. Multi-Parameter Prediction for Steam Turbine Based on Real-Time Data Using Deep Learning Approaches

36. Carbohydrate sulfotransferase 3 (CHST3) overexpression promotes cartilage endplate‐derived stem cells (CESCs) to regulate molecular mechanisms related to repair of intervertebral disc degeneration by rat nucleus pulposus

37. Intraoperative electromyographic techniques for the decision-making of tumor-involved nerve root resection for treating spinal schwannomas

38. The Relationship Between Academic Encouragement and Academic Self-Efficacy: A Moderated Mediation Model

39. Dual drugs release from nanoporously bioactive coating on polyetheretherketone for enhancement of antibacterial activity, rBMSCs responses and osseointegration

40. Preparation of antibacterial and osteoconductive 3D-printed PLGA/Cu(I)@ZIF-8 nanocomposite scaffolds for infected bone repair

41. Evaluation of a Porous Bioabsorbable Interbody Mg-Zn Alloy Cage in a Goat Cervical Spine Model

42. Development and Validation of Nomograms Predicting Overall and Cancer-Specific Survival of Spinal Chondrosarcoma Patients

43. Cortical Activation Changes in Hirayama Disease After Anterior Cervical Decompression and Fusion

44. Radiographic Study of Lumbar Sympathetic Trunk in Oblique Lateral Interbody Fusion Surgery

45. The Pathology of Type II Modic Changes: Fat Deposition or Osteosclerosis? A Study Using CT Scan

46. Radiologic Analysis of Kinematic Characteristics of Modic Changes Based on Lumbar Disc Degeneration Grade

47. Analysis of radiological parameters associated with decreased fractional anisotropy values on diffusion tensor imaging in patients with lumbar spinal stenosis

48. Can a Nomogram Help to Predict the Overall and Cancer-specific Survival of Patients With Chondrosarcoma?

49. Bibliometric and visualized analysis of current research trends in the finite element analysis of lumbar spine

50. Real-time power prediction approach for turbine using deep learning techniques

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