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Go gaming is a struggle for territory control between rival, black and white, stones on a board. We model the Go dynamics in a game by means of the Ising model whose interaction coefficients reflect essential rules and tactics employed in Go to build long-term strategies. At any step of the game, the energy functional of the model provides the control degree (strength) of a player over the board. A close fit between predictions of the model with actual games is obtained.

We introduce autoboot, a Mathematica program which automatically generates mixed-correlator bootstrap equations of an arbitrary number of scalar external operators, given the global symmetry group and the representations of the operators. The output is a Python program which uses Ohtsuki's cboot which in turn uses Simmons-Duffin's sdpb. In an appendix we also discuss a simple technique to significantly reduce the time to run sdpb, which we call hot-starting.

我国幅员辽阔，地形地势比较复杂，对电力长途运输的要求比较高。而柔性交流输电技术为发展智能电网提高了保障，同时解决了电力的长途运输的要求，并且具有效率高、稳定性强、安全经济的特点。本文概述了智能电网及柔性交流输电技术，阐述了FACTS技术在智能电网中应用的重要性，对柔性交流输电技术在智能电网中的应用进行了探讨分析。

We formulate a way to separate UV and IR contributions to the Adler function and discuss how $Λ_\mathrm{QCD}^2/Q^2$ dependence is encoded in the UV contribution within perturbative QCD.