Correlation networks derived from multivariate data appear in many applications across the sciences. These are usually dense and require sparsification to detect meaningful structure. However, current methods for sparsifying correlation struggle with balancing overfitting underfitting. We propose a module-based cross-validation procedure threshold these networks, making modular structure an int...

At the magnetic fields of common NMR instruments, electron Zeeman frequencies are too high for efficient electron-nuclear dipolar cross-relaxation to occur in solution. The rate that process fades with frequency as omega^{-2} - absence isotropic hyperfine couplings, liquid state dynamic nuclear polarisation (DNP) high-field magnets is therefore impractical. However, contact coupling and not onl...

An improved cross-entropy (CE) method assisted with a chaotic operator (CGSCE) is presented for solving the optimal power flow (OPF) problem. The introduction of helps to enhance exploration capability popular approach while global best solution preserved. To handle constraints in flow, an efficient constraint handling technique no parameter adjustment also introduced. tested on both IEEE-30 bu...