Tootfinder

HiPrFlame-An ab initio based real-fluid modeling approach for high-pressure combustion-I. Rationale, methodology, and application to laminar premixed flames
Ting Zhang, Tianzhou Jiang, Mingrui Wang, Hongjie Zhang, Ruoyue Tang, Xinrui Ren, Song Cheng
https://arxiv.org/abs/2509.06717

HiPrFlame-An ab initio based real-fluid modeling approach for high-pressure combustion-I. Rationale, methodology, and application to laminar premixed flames
High-pressure combustion is central to modern propulsion and power-generation systems, where operating pressures often exceed the critical point of working fluids, resulting in pronounced real-fluid effects that fundamentally alter thermodynamic and transport properties. High-pressure combustion is central to modern propulsion and power-generation systems, where operating pressures often exceed the critical point of working fluids, resulting in pronounced real-fluid effects that fundamentally a…

from my link log —
Fortran for C programmers.
https://flang.llvm.org/docs/FortranForCProgrammers.html
saved 2025-05-18 h…

SparkUI-Parser: Enhancing GUI Perception with Robust Grounding and Parsing
Hongyi Jing, Jiafu Chen, Chen Rao, Ziqiang Dang, Jiajie Teng, Tianyi Chu, Juncheng Mo, Shuo Fang, Huaizhong Lin, Rui Lv, Chenguang Ma, Lei Zhao
https://arxiv.org/abs/2509.04908

SparkUI-Parser: Enhancing GUI Perception with Robust Grounding and Parsing
The existing Multimodal Large Language Models (MLLMs) for GUI perception have made great progress. However, the following challenges still exist in prior methods: 1) They model discrete coordinates based on text autoregressive mechanism, which results in lower grounding accuracy and slower inference speed. 2) They can only locate predefined sets of elements and are not capable of parsing the entire interface, which hampers the broad application and support for downstream tasks. To address the a…

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation
Yucheng Wang, Dan Xu
https://arxiv.org/abs/2507.05092

MoDiT: Learning Highly Consistent 3D Motion Coefficients with Diffusion Transformer for Talking Head Generation
Audio-driven talking head generation is critical for applications such as virtual assistants, video games, and films, where natural lip movements are essential. Despite progress in this field, challenges remain in producing both consistent and realistic facial animations. Existing methods, often based on GANs or UNet-based diffusion models, face three major limitations: (i) temporal jittering caused by weak temporal constraints, resulting in frame inconsistencies; (ii) identity drift due to ins…

People get what they vote for.
https://mstdn.social/@jackhutton/115164205406118941

D4 is a mess because of incoherent alliances.
Engardio won by courting both urbanists (who skew progressive) and conservatives (who are car-brained). Now conservatives feel betrayed because he backed car-free space, while progressive urbanists who like car-free spaces still aren't wild about *him*.
Thus, he's likely toast in the recall. 1/

Recalls now ‘a thing we live with,’ political insiders say at Mission Local event
The insiders said Engardio is in big trouble. They added that new money, especially from tech, fueling city politics is behind recent recalls.

Primer to get you started with Optimization and Mathematical Programming in R #rstats

DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation
Jingyu Xiao, Ming Wang, Man Ho Lam, Yuxuan Wan, Junliang Liu, Yintong Huo, Michael R. Lyu
https://arxiv.org/abs/2506.06251

DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation
Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in automated front-end engineering, e.g., generating UI code from visual designs. However, existing front-end UI code generation benchmarks have the following limitations: (1) While framework-based development becomes predominant in modern front-end programming, current benchmarks fail to incorporate mainstream development frameworks. (2) Existing evaluations focus solely on the UI code generation task, whereas p…

The Corporation for Public Broadcasting announces that it is shutting down following the loss of federal funding (CPB)
https://cpb.org/pressroom/Corporation-Public-Broadcasting-Addresses-Operations-Following-Loss-Federal-Funding…

Zariski-dense deformations of standard discontinuous groups for pseudo-Riemannian homogeneous spaces
Kazuki Kannaka, Toshiyuki Kobayashi
https://arxiv.org/abs/2507.03476

Zariski-dense deformations of standard discontinuous groups for pseudo-Riemannian homogeneous spaces
Let $X=G/H$ be a homogeneous space of a Lie group $G$. When the isotropy subgroup $H$ is non-compact, a discrete subgroup $Γ$ may fail to act properly discontinuously on $X$. In this article, we address the following question: in the setting where $G$ and $H$ are reductive Lie groups and $Γ\backslash X$ is a standard quotient, to what extent can one deform the discrete subgroup $Γ$ while preserving the proper discontinuity of the action on $X$? We provide several classification results, in…