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1. Unveiling the HD 95086 system at mid-infrared wavelengths with JWST/MIRI.

2. Geometric distortion and astrometric calibration of the JWST MIRI Medium Resolution Spectrometer.

3. Retrieval study of cool directly imaged exoplanet 51 Eri b.

4. The Science Performance of JWST as Characterized in Commissioning.

5. Fracture Risk Assessment in Atypical Parkinsonian Syndromes.

6. mirisim: a simulator for the Mid-Infrared Instrument on JWST.

7. The Quantum Efficiency and Diffractive Image Artifacts of Si:As IBC mid-IR Detector Arrays at 5–10 μm: Implications for the JWST/MIRI Detectors.

8. Crystalline silicate absorption at 11.1 μm: ubiquitous and abundant in embedded YSOs and the interstellar medium.

9. Observing recommendations for JWST MIRI users.

10. Status of the Mid-IR ELT Imager and Spectrograph (METIS).

11. Space-based infrared interferometry to study exoplanetary atmospheres.

12. Long-term monitoring of metalworking fluid emulsion aging using a spectroscopic sensor.

18. E-ELT/METIS.

19. The Mid-Infrared Instrument for the James Webb Space Telescope, VI: The Medium Resolution Spectrometer.

20. The Mid-Infrared Instrument for the James Webb Space Telescope, X: Operations and Data Reduction.

21. The Mid-Infrared Instrument for the James Webb Space Telescope, IX: Predicted Sensitivity.

22. The Mid-Infrared Instrument for the James Webb Space Telescope, V: Predicted Performance of the MIRI Coronagraphs.

23. The Mid-Infrared Instrument for the James Webb Space Telescope, III: MIRIM, The MIRI Imager.

24. The Mid-Infrared Instrument for the James Webb Space Telescope, IV: The Low-Resolution Spectrometer.

25. The Mid-Infrared Instrument for the James Webb Space Telescope, I: Introduction.

27. Characterization of Exoplanets and Protoplanetary Disks with the proposed E-ELT Instrument METIS.

28. First results from MIRI verification model testing.

29. METIS: the Mid-infrared E-ELT Imager and Spectrograph.

40. Refractive indices of metal working fluid emulsion components.

41. Turbidimetry for the stability evaluation of emulsions used in machining industry.

42. Use of a spectroscopic sensor to monitor droplet size distribution in emulsions using neural networks.

43. Analysis of the Stability of Metal Working Fluid Emulsions by Turbidity Spectra.

44. Turbidimetric Spectroscopy for the Evaluation of Metalworking Fluids Stability.

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