Tootfinder

Trump’s appeal isn’t rooted in policy;
it’s rooted in style.
I He uses delusional bravado to cosplay as a rebel against a broken system that both parties helped to rig.
The Democratic establishment’s timid, survivalist politics can’t compete with that.
You can’t beat an immoral agent of chaos with risk aversion.
You beat him with moral clarity
— the kind that’s willing to sacrifice corporate donations, political comfort and maybe even your own career for t…

Opinion | This Is the Moment Democrats Have Been Talking About for Years
The party establishment is missing its chance to prove there is more to it than just outrage and opposition.

Alan Sutcliffe remembered https://www.eventbrite.co.uk/e/eva-london-2025-alan-sutcliffe-remembered-computer-arts-social-evening-registration-1363127183099

A Multi-Objective Genetic Algorithm for Healthcare Workforce Scheduling
Vipul Patel, Anirudh Deodhar, Dagnachew Birru
https://arxiv.org/abs/2508.20953 https://

A Multi-Objective Genetic Algorithm for Healthcare Workforce Scheduling
Workforce scheduling in the healthcare sector is a significant operational challenge, characterized by fluctuating patient loads, diverse clinical skills, and the critical need to control labor costs while upholding high standards of patient care. This problem is inherently multi-objective, demanding a delicate balance between competing goals: minimizing payroll, ensuring adequate staffing for patient needs, and accommodating staff preferences to mitigate burnout. We propose a Multi-objective G…

The Tiny Angry Witch continues to be a delight.
https://www.patreon.com/posts/132347561

Quantifying the Performance Gap for Simple Versus Optimal Dynamic Server Allocation Policies
Niklas Carlsson, Derek Eager
https://arxiv.org/abs/2507.19667 https://

Quantifying the Performance Gap for Simple Versus Optimal Dynamic Server Allocation Policies
Cloud computing enables the dynamic provisioning of server resources. To exploit this opportunity, a policy is needed for dynamically allocating (and deallocating) servers in response to the current load conditions. In this paper we describe several simple policies for dynamic server allocation and develop analytic models for their analysis. We also design semi-Markov decision models that enable determination of the performance achieved with optimal policies, allowing us to quantify the perform…

Physics-informed Hamiltonian learning for large-scale optoelectronic property prediction
Martin Schwade, Shaoming Zhang, Frederik Vonhoff, Frederico P. Delgado, David A. Egger
https://arxiv.org/abs/2508.20536

Physics-informed Hamiltonian learning for large-scale optoelectronic property prediction
Predicting optoelectronic properties of large-scale atomistic systems under realistic conditions is crucial for rational materials design, yet computationally prohibitive with first-principles simulations. Recent neural network models have shown promise in overcoming these challenges, but typically require large datasets and lack physical interpretability. Physics-inspired approximate models offer greater data efficiency and intuitive understanding, but often sacrifice accuracy and transferabil…

Delegated Contracting
Jo\~ao Thereze (Fuqua School of Business, Duke University), Udayan Vaidya (Fuqua School of Business, Duke University)
https://arxiv.org/abs/2508.19326 http…

Delegated Contracting
A principal seeks to contract with an agent but must do so through an informed delegate. Although the principal cannot directly mediate the interaction, she can constrain the menus of contracts the delegate may offer. We show that the principal can implement any outcome that is implementable through a direct mechanism satisfying dominant strategy incentive compatibility and ex-post participation for the agent. We apply this result to several settings. First, we show that a government that deleg…

Risk-Averse and Optimistic Advertiser Incentive Compatibility in Auto-bidding
Christopher Liaw, Wennan Zhu
https://arxiv.org/abs/2508.16823 https://arxiv.o…

Risk-Averse and Optimistic Advertiser Incentive Compatibility in Auto-bidding
The rise of auto-bidding has created challenges for ensuring advertiser incentive compatibility, particularly when advertisers delegate bidding to agents with high-level constraints. One challenge in defining incentive compatibility is the multiplicity of equilibria. After advertisers submit reports, it is unclear what the result will be and one only has knowledge of a range of possible results. Nevertheless, Alimohammadi et al. proposed a notion of Auto-bidding Incentive Compatibility (AIC) wh…

Modeling of Far-Field Quantum Coherence by Dielectric Bodies Based on the Volume Integral Equation Method
Chengnian Huang, Hangyu Ge, Yijia Cheng, Zi He, Feng Liu, Wei E. I. Sha
https://arxiv.org/abs/2508.16471

Modeling of Far-Field Quantum Coherence by Dielectric Bodies Based on the Volume Integral Equation Method
The Hong-Ou-Mandel (HOM) effect is a hallmark of nonclassical photon interference. Accurate modeling of angle-resolved two-photon correlations in complex dielectric structures remains challenging because no efficient numerical framework directly links classical electromagnetic quantities to quantum correlation functions. We present a unified theoretical and computational framework for evaluating far-field HOM interference from arbitrary dielectric bodies. By quantizing plane-wave scattering mod…

This has got to be the most welcoming and beautiful public toilet facility I've ever seen. Look at the way it's lit - gorgeous!
https://www.archpaper.com/2025/08/toronto-to-the-loo-competition-public-restrooms/

Toronto’s To the Loo competition proves public restrooms can be beautiful too
the Toronto Public Space Committee, together with Cyan Station Architecture, have launched the To the Loo design competition to highlight the city’s shortage of public restrooms and to show that bathrooms can be an inspiring part of the public realm.