In recent years, there has been active debate over whether it is appropriate to use AI for peer review of papers. However, much of this debate is premised on the current performance of AI. It is true that AI-based peer review has its limits at present, but what matters in designing institutions is not the present but the future. While AI capabilities will continue to improve, the institutions of academic publishing do not change easily. In this article, therefore, I consider how human reviewers and AI would divide their roles if AI were to be fully incorporated into the peer review process.
HYDRUS is a software package for simulating water flow, heat, and solute transport in variably saturated porous media (soils). The Mater.in file is an input file for HYDRUS used when soil hydraulic properties are defined by tabular data (look-up tables) rather than analytical functions. It contains discrete data points for water content (θ), pressure head (h), hydraulic conductivity (K), and optionally soil hydraulic capacity (C) = dθ/dh. See Table 12.14 in the user manual. This tool validates the format of your Mater.in file and visualizes the hydraulic property curves.
Remembering multiple complex passwords is difficult. For this reason, many people likely use simple, easy-to-remember passwords or reuse the same password across many sites, even though they know it's not a good practice. This article offers some tips on how to manage your passwords.
When reading foreign texts, having materials formatted so you can check meanings and instantly play audio significantly boosts learning efficiency. On the other hand, manually creating these materials—splitting paragraphs into sentences, adding translations, and embedding playback buttons—is a tedious and time-consuming task.
Because I missed my connecting flight, I had to change my ticket at São Paulo airport, and the process turned out to be quite troublesome. I’m writing this down as a record for future reference.