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3. The Mpemba effect in spin glasses is a persistent memory effect

4. Temperature chaos is present in off-equilibrium spin-glass dynamics

6. Astatics-dynamics equivalence through the fluctuation–dissipation ratio provides a window into the spin-glass phase from nonequilibrium measurements

7. Multifractality in spin glasses.

8. Pest categorisation of Urocerus japonicus

9. Pest categorisation of Urocerus albicornis

10. Pest categorisation of Milviscutulus mangiferae

11. Pest categorisation of Eotetranychus sexmaculatus

12. Risk assessment of Citripestis sagittiferella for the EU

13. Pest categorisation of Coniella granati

14. Pest categorisation of Resseliella maxima

15. Pest categorisation of Lasiodiplodia pseudotheobromae

16. Pest categorisation of Pantoea ananatis

17. Pest categorisation of Neoscytalidium dimidiatum

18. Pest categorisation of Nipaecoccus viridis

19. Pest categorisation of Nilaparvata lugens

20. Risk assessment of Resseliella citrifrugis for the EU

21. Pest categorisation of Takahashia japonica

22. Pest categorisation of Paracoccus marginatus

23. EFSA Climate Suitability Analysis of Xanthomonas citri pv. viticola

24. Climate Change Impact and Adaptation for Wheat Protein

26. Thermodynamic glass transition in a spin glass without time-reversal symmetry

27. The Uncertainty of Crop Yield Projections Is Reduced by Improved Temperature Response Functions

28. The International Heat Stress Genotype Experiment for Modeling Wheat Response to Heat: Field Experiments and AgMIP-Wheat Multi-Model Simulations

29. Pest categorisation of Neomaskellia andropogonis

30. Pest categorisation of Malacosoma disstria

31. Pest categorisation of Stenocarpella maydis

32. Pest categorisation of Dendrolimus spectabilis

33. Pest categorisation of Penthimiola bella

34. Pest categorisation of Russellaspis pustulans

35. Risk assessment of Xanthomonas citri pv. viticola for the EU

36. Pest categorisation of Fusarium pseudograminearum

37. Pest categorisation of Bagrada hilaris

38. Pest categorisation of Coleosporium phellodendri

39. Pest categorisation of Matsucoccus massonianae

40. Pest categorisation of Platypus apicalis

42. Crop Model Improvement Reduces the Uncertainty of the Response to Temperature of Multi-Model Ensembles

44. Author Correction: The uncertainty of crop yield projections is reduced by improved temperature response functions

45. SCAN‐Clim: a tool to support pest climate suitability analysis based on climate classification.

46. An updated assessment of the risks to plant health posed Xylella fastidiosain the EU territory

47. JRC MARS Bulletin - Crop monitoring in Europe, March 2019 Vol. 27 no. 3

48. Global wheat production with 1.5 and 2.0°C above pre-industrial warming

49. Pest categorisation of Leucinodes orbonalis.

50. Pest categorisation of Colletotrichum plurivorum.

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