Covers the basics of proteomics, mass spectrometry, protein synthesis, and amino acids, emphasizing the importance of molecular weight and isotopic abundance.
Covers correlation and cross-correlations in air pollution data analysis, including time series, autocorrelations, Fourier analysis, and power spectrum.
Explores challenges in identifying useful metastable materials and discusses concepts like structure predictions, ensemble probabilities, and mapping algorithms.