Tootfinder

Day 6: Kamome Shirahama
Before I wander much father afield, I'd be remiss not to include at least one Mangaka (I've got 8 on my planning list; if you think Manga is pushing it just wait until you see what the next few days have in store).
I'm currently following "Witch Hat Atelier," and it's absolutely amazing in several dimensions: first class world-building, deep philosophical themes, nuanced diverse cast, tightly-constructed interwoven plots, deep mysteries that keep everything churning and show up in unexpected places, absolutely stellar art both in terms of in-panel depictions and page layouts (some are Watchmen-quality), especially if you are sartorially inclined, and general kindness of its core messages. This is a series I wish every programmer would read, because it includes excellent advice about software design in multiple ways (did I mention there's an intricate and logical magic system within which the main character innovates in legible-to-the-reader-as-innovation ways?). Also, I bet I would have enjoyed this just a much as a 10-year-old as I'm enjoying it in my 30's, which is something that takes well-honed skill to pull off.
Shirahama is a master of her craft, and I'm honestly kinda surprised to see Witch Hat is only her second series. Definitely thinking how I can get my hands on her earlier work in English.
#20AuthorsNoMen

Electrically Tunable Excitonic-Hyperbolicity in Chirality-Pure Carbon Nanotubes
Jason Lynch, Pavel Shapturenka, Mohammad Mojtaba Sadafi, Zoey Liu, Tobia Ruth, Kritika Jha, Zahra Fakhraai, Hossein Mosallaei, Nader Engheta, Jeffrey A. Fagan, Deep Jariwala
https://arxiv.org/abs/2509.24848

Electrically Tunable Excitonic-Hyperbolicity in Chirality-Pure Carbon Nanotubes
Metamaterials exhibiting hyperbolic dispersion enable unprecedented control over light-matter interactions, from sub-diffraction imaging to enhanced spontaneous emission. However, conventional plasmonic hyperbolic metamaterials suffer from limited tunability and lack intrinsic emission capabilities, constraining their utility for active photonic devices. Here, we demonstrate the first room-temperature, electrically tunable, excitonic hyperbolic metamaterial using aligned films of chirality-pure…

A Survey of Reinforcement Learning for Software Engineering
Dong Wang, Hanmo You, Lingwei Zhu, Kaiwei Lin, Zheng Chen, Chen Yang, Junji Yu, Zan Wang, Junjie Chen
https://arxiv.org/abs/2507.12483

A Survey of Reinforcement Learning for Software Engineering
Reinforcement Learning (RL) has emerged as a powerful paradigm for sequential decision-making and has attracted growing interest across various domains, particularly following the advent of Deep Reinforcement Learning (DRL) in 2015. Simultaneously, the rapid advancement of Large Language Models (LLMs) has further fueled interest in integrating RL with LLMs to enable more adaptive and intelligent systems. In the field of software engineering (SE), the increasing complexity of systems and the ris…