Tootfinder

Probably a good day 🥵 to remind of our CoolWalks study: https://www.nature.com/articles/s41598-025-97200-2
- Above all, stop burning fossil fuels
- Buildings (and trees) cast a lot of shade in cities. We systematically quantify the benefits for 🚶🚴
- Make shade plans, b…

CoolWalks for active mobility in urban street networks - Scientific Reports
Walking is the most sustainable form of urban mobility, but is compromised by uncomfortable or unhealthy sun exposure, which is an increasing problem due to global warming. Shade from buildings can provide cooling and protection for pedestrians, but the extent of this potential benefit is unknown. Here we explore the potential for shaded walking, using building footprints and street networks from both synthetic and real cities. We introduce a route choice model with a sun avoidance parameter $$…

A Geometric Method for Base Parameter Analysis in Robot Inertia Identification Based on Projective Geometric Algebra
Guangzhen Sun, Ye Ding, Xiangyang Zhu
https://arxiv.org/abs/2509.02071

A Geometric Method for Base Parameter Analysis in Robot Inertia Identification Based on Projective Geometric Algebra
This paper proposes a novel geometric method for analytically determining the base inertial parameters of robotic systems. The rigid body dynamics is reformulated using projective geometric algebra, leading to a new identification model named ``tetrahedral-point (TP)" model. Based on the rigid body TP model, coefficients in the regresoor matrix of the identification model are derived in closed-form, exhibiting clear geometric interpretations. Building directly from the dynamic model, three foun…

Probing nuclear structure with the Balitsky-Kovchegov equation in full impact-parameter dependence
J. Cepila, M. Matas, M. Vaculciak
https://arxiv.org/abs/2509.02115 https://

Probing nuclear structure with the Balitsky-Kovchegov equation in full impact-parameter dependence
Building on the newly available solution of the Balitsky-Kovchegov (BK) equation with the full impact-parameter dependence, we extend the study of parton evolution from proton to nuclear targets. Since a key part of the scientific programme for future experimental facilities such as the EIC is to study gluon dynamics and shed new light on the phenomenon of parton saturation, we present predictions for key processes, such as deep-inelastic scattering or the diffractive production of vector meson…

Collins, Murkowski vote with Democrats on striking Planned Parenthood provision from GOP megabill (Alexander Bolton/The Hill)
https://thehill.com/homenews/senate/5377830-collins-murkowski-planned-parenthood/
http://www.memeorandum.com/250630/p133#a250630p133

Classification of coined quantum walks on the line and comparison to correlated classical random walks
Lukas Hantzko, Lennart Binkowski
https://arxiv.org/abs/2507.23524 https://…

Classification of coined quantum walks on the line and comparison to correlated classical random walks
We present a comprehensive classification of one-dimensional coined quantum walks on the infinite line, focusing on the spatial probability distributions they induce. Building on prior results, we identify all initial coin states that lead to symmetric quantum walks for arbitrary coins, and provide a bijective parametrisation of all symmetric quantum walks modulo distributional equivalence. Extending beyond the symmetric case, we also give a surjective parametrisation of all coined quantum walk…

A Convolutional Hierarchical Deep-learning Neural Network (C-HiDeNN) Framework for Non-linear Finite Element/Meshfree Analysis
Yingjian Liu, Monish Yadav Pabbala, Jiachen Guo, Chanwook Park, Gino Domel, Wing Kam Liu, Dong Qian
https://arxiv.org/abs/2509.02435

A Convolutional Hierarchical Deep-learning Neural Network (C-HiDeNN) Framework for Non-linear Finite Element/Meshfree Analysis
We present a framework for the Convolutional Hierarchical Deep Neural Network (C-HiDeNN) tailored for nonlinear finite element and meshfree analysis. Building upon the structured foundation of HiDeNN, which includes the evaluation of shape function derivatives, adaptivity, and material derivatives, C-HiDeNN introduces a convolution operator to enhance the HiDeNN approximation. A distinctive feature of C-HiDeNN is its expanded set of optimization parameters, such as the polynomial order 'p,' dil…

Text-to-SQL Task-oriented Dialogue Ontology Construction
Renato Vukovic, Carel van Niekerk, Michael Heck, Benjamin Ruppik, Hsien-Chin Lin, Shutong Feng, Nurul Lubis, Milica Gasic
https://arxiv.org/abs/2507.23358

Text-to-SQL Task-oriented Dialogue Ontology Construction
Large language models (LLMs) are widely used as general-purpose knowledge sources, but they rely on parametric knowledge, limiting explainability and trustworthiness. In task-oriented dialogue (TOD) systems, this separation is explicit, using an external database structured by an explicit ontology to ensure explainability and controllability. However, building such ontologies requires manual labels or supervised training. We introduce TeQoDO: a Text-to-SQL task-oriented Dialogue Ontology constr…

Urban Diaspora VI 🏮
城市放逐 VI 🏮
📷 Nikon FE
🎞️Ilford FP4 Plus, expired 1994
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

Testing parametric additive time-varying GARCH models
Niklas Ahlgren, Alexander Back, Timo Ter\"asvirta
https://arxiv.org/abs/2506.23821 https://

Testing parametric additive time-varying GARCH models
We develop misspecification tests for building additive time-varying (ATV-)GARCH models. In the model, the volatility equation of the GARCH model is augmented by a deterministic time-varying intercept modeled as a linear combination of logistic transition functions. The intercept is specified by a sequence of tests, moving from specific to general. The first test is the test of the standard stationary GARCH model against an ATV-GARCH model with one transition. The alternative model is unidentif…

A Detailed Factor Analysis for the Political Compass Test: Navigating Ideologies of Large Language Models
Sadia Kamal, Lalu Prasad Yadav Prakash, S M Rafiuddin, Mohammed Rakib, Arunkumar Bagavathi, Atriya Sen, Sagnik Ray Choudhury
https://arxiv.org/abs/2506.22493

A Detailed Factor Analysis for the Political Compass Test: Navigating Ideologies of Large Language Models
Political Compass Test (PCT) or similar questionnaires have been used to quantify LLM's political leanings. Building on a recent line of work that examines the validity of PCT tests, we demonstrate that variation in standard generation parameters does not significantly impact the models' PCT scores. However, external factors such as prompt variations and fine-tuning individually and in combination affect the same. Finally, we demonstrate that when models are fine-tuned on text datasets with hig…