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1. SecureLLM: Using Compositionality to Build Provably Secure Language Models for Private, Sensitive, and Secret Data

12. Utilizing Molecular Dynamics Simulations, Machine Learning, Cryo-EM, and NMR Spectroscopy to Predict and Validate Protein Dynamics.

13. Nucleic acid-based wearable and implantable electrochemical sensors.

19. SecureLLM: Using Compositionality to Build Provably Secure Language Models for Private, Sensitive, and Secret Data

34. Development of highly conductive anion exchange membranes based on crosslinked PIM-SEBS with high free volume.

43. Brachysiphoniella montana

50. Comparison of dynamic tensile extrusion behaviour of WCu composites made by different processes

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