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19. Additional file 3 of Machine learning algorithms’ accuracy in predicting kidney disease progression: a systematic review and meta-analysis

20. Additional file 1 of Machine learning algorithms’ accuracy in predicting kidney disease progression: a systematic review and meta-analysis

21. Additional file 2 of Machine learning algorithms’ accuracy in predicting kidney disease progression: a systematic review and meta-analysis

34. Carbon-reduction potential of electrification on China's railway transport: An analysis of three possible future scenarios.

35. Geochemical Constrains on Petrogenesis and Tectonic Setting of Volcanic Rocks from the Baimianxia and Sanwan Formations in the Northern Margin of the Yangtze Plate

36. Palaeozoic diorites from the south‐western Dunhuang terrane, NW China: Constraints on tectonic evolution of southernmost CAOB.

37. Petrogenetic Evolution of the Bayan Gol Ophiolite - Geological Record of an Early Carboniferous 'Red Sea Type' Ocean Basin in the Tianshan Mountains, Northwestern China

38. Carboniferous Post-collisional Rift Volcanism of the Tianshan Mountains, Northwestern China

39. Fluids and Melts in the Upper Mantle

40. Features of the Early Palaeozoic Mantle beneath Langao County and Its Formation Mechanism

41. Influencing factors of community participation in tourism development: A case study of Xingwen world Geopark

42. On the relationship between mantle metasomatism and partial melting — Evidence from mantle-derived lherzolite xenoliths from Nüshan, China

43. A LA-ICP-MS U-Pb chronological study of zircons from meta-acidic volcanics in Baiyin orefield, Gansu Province: new evidence for metallogenic age of Baiyin-type massive sulphide deposits.

46. A multiple three-dimensiona l interactive teaching mode in teaching diseases of oral mucosa.

47. Metallogenic regularity of southwest Tianshan mountains in comparison with neighbouring countries.

48. The palaeosubmarine volcanism and mineralisation in the north Qilian Mountains.

49. [A multiple three-dimensional interactive teaching mode in teaching diseases of oral mucosa].

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