Tootfinder

Just thought about this hike that I did quite a while a go. I saw this tree standing aside the trail and I tried if it would make a good photo.
And actually I planned to go back there - which I still didn't!
Anyways. Just wanted to share it with you 🙂
#photography #trees

On The Road - To Xi’An/ Beings 👁️‍🗨️
在路上 - 去西安/ 灵 👁️‍🗨️
📷 Pentax MX
🎞️Kodak Double-X 5222
#filmphotography #Photography #blackandwhite

The Digital Life of Parisian Parks: Multifunctionality and Urban Context Uncovered by Mobile Application Traffic
Andr\'e Felipe Zanella, Linus W. Dietz, Sanja \v{S}\'cepanovi\'c, Ke Zhou, Zbigniew Smoreda, Daniele Quercia
https://arxiv.org/abs/2508.15516

The Digital Life of Parisian Parks: Multifunctionality and Urban Context Uncovered by Mobile Application Traffic
Landscape architecture typically considers urban parks through the lens of form and function. While past research on equitable access has focused mainly on form, studies of functions have been constrained by limited scale and coarse measurement. Existing efforts have partially quantified functions through small-scale surveys and movement data (e.g., GPS) or general usage records (e.g., CDR), but have not captured the activities and motivations underlying park visits. As a result, our understand…

REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems
Haibo Xing, Hao Deng, Yucheng Mao, Jinxin Hu, Yi Xu, Hao Zhang, Jiahao Wang, Shizhun Wang, Yu Zhang, Xiaoyi Zeng, Jing Zhang
https://arxiv.org/abs/2508.15308

REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems
Sequential recommendation aims to predict a user's next action in large-scale recommender systems. While traditional methods often suffer from insufficient information interaction, recent generative recommendation models partially address this issue by directly generating item predictions. To better capture user intents, recent studies have introduced a reasoning process into generative recommendation, significantly improving recommendation performance. However, these approaches are constrained…

Adaptive feature capture method for solving partial differential equations with low regularity solutions
Yangtao Deng, Qiaolin He, Xiaoping Wang
https://arxiv.org/abs/2507.12941

Adaptive feature capture method for solving partial differential equations with low regularity solutions
Partial differential equations (PDEs) with low-regularity solutions pose significant challenges for traditional numerical methods, particularly in complex geometries where mesh generation and adaptive refinement become computationally expensive. While deep-learning-based approaches, such as Physics-Informed Neural Networks (PINNs) and the Random Feature Method (RFM), offer mesh-free alternatives, they often lack adaptive resolution in critical regions, limiting their accuracy for solutions with…

Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework
Moyu Zhang, Yujun Jin, Jinxin Hu, Yu Zhang
https://arxiv.org/abs/2508.14493 https://

Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework
With the emergence of e-commerce, the recommendations provided by commercial platforms must adapt to diverse scenarios to accommodate users' varying shopping preferences. Current methods typically use a unified framework to offer personalized recommendations for different scenarios. However, they often employ shared bottom representations, which partially hinders the model's capacity to capture scenario uniqueness. Ideally, users and items should exhibit specific characteristics in different sc…

Partial regularity of suitable weak solutions to the incompressible magnetohydrodynamic equations
Mengyao Ding, Wenwen Huo, Chao Zhang
https://arxiv.org/abs/2508.12317 https://

Partial regularity of suitable weak solutions to the incompressible magnetohydrodynamic equations
This paper establishes a regularity theory for the magnetohydrodynamics (MHD) equations with external forces through scaling analysis. Inspired by the existing methodology, we utilize linearized approximations and the monotonicity property of harmonic functions to construct iterative sequences capturing scaling properties. This work successfully extends Navier-Stokes techniques to MHD coupling and demonstrates that the one dimensional parabolic Hausdorff measure of the possible singular points …

The IDF has begun preparations to establish a humanitarian zone that will accommodate 350,000 Gaza residents.
The zone will be established in southern Gaza in line with a cabinet decision on Saturday night, implementing the humanitarian separation plan aimed at distinguishing Gaza residents from Hamas terrorists.
At Prime Minister Benjamin Netanyahu's insistence, the establishment of humanitarian zones will also proceed during any ceasefire, should one occur.
According …

Report: Israel considering partial withdrawal, ceasefire to be announced over weekend
According to the Saudi channel A-Sharq, the Israeli delegation has refused to withdraw from areas captured after March 2. Meanwhile, the IDF has begun

Learning Mechanistic Subtypes of Neurodegeneration with a Physics-Informed Variational Autoencoder Mixture Model
Sanduni Pinnawala, Annabelle Hartanto, Ivor J. A. Simpson, Peter A. Wijeratne
https://arxiv.org/abs/2509.15124

Learning Mechanistic Subtypes of Neurodegeneration with a Physics-Informed Variational Autoencoder Mixture Model
Modelling the underlying mechanisms of neurodegenerative diseases demands methods that capture heterogeneous and spatially varying dynamics from sparse, high-dimensional neuroimaging data. Integrating partial differential equation (PDE) based physics knowledge with machine learning provides enhanced interpretability and utility over classic numerical methods. However, current physics-integrated machine learning methods are limited to considering a single PDE, severely limiting their application…

City Features III 🌆
城市特征 III 🌆
📷 Nikon FE
🎞️Ilford FP4 Plus, expired 1994
buy me ☕️ ?/请我喝杯☕️？
#filmphotography