Tootfinder

Mississippi Cotton Farmers Face Tough Decisions Amid Falling Prices, Rising Costs (Mississippi Free Press)
https://www.mississippifreepress.org/mississippi-cotton-farmers-face-tough-decisions-amid-falling-prices-rising-costs/
http://www.memeorandum.com/250714/p113#a250714p113

Solid-State Dewetting of Polycrystalline Thin Films: a Phase Field Approach
Paul Hoffrogge, Nils Becker, Daniel Schneider, Britta Nestler, Axel Voigt, Marco Salvalaglio
https://arxiv.org/abs/2507.10811

Solid-State Dewetting of Polycrystalline Thin Films: a Phase Field Approach
Solid-state dewetting (SSD) is the process by which thin solid films break up and retract on a substrate, resulting in the formation of nanostructures and islands. While SSD in single-crystalline films is generally understood as a surface-energy-driven process mediated by surface diffusion, polycrystalline films feature additional complexity due to the presence of grain boundaries. Theoretical investigations and simulation frameworks have mainly focused on single-crystalline SSD. In this work, …

BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis
Florian Kofler, Marcel Rosier, Mehdi Astaraki, Hendrik M\"oller, Ilhem Isra Mekki, Josef A. Buchner, Anton Schmick, Arianna Pfiffer, Eva Oswald, Lucas Zimmer, Ezequiel de la Rosa, Sarthak Pati, Julian Canisius, Arianna Piffer, Ujjwal Baid, Mahyar Valizadeh, Akis Linardos, Jan C. Peeken, Surprosanna Shit, Felix Steinbauer, Daniel Rueckert, Rolf Heckemann, Spyridon Bakas, Jan Kirschke, …

BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis
BrainLesion Suite is a versatile toolkit for building modular brain lesion image analysis pipelines in Python. Following Pythonic principles, BrainLesion Suite is designed to provide a 'brainless' development experience, minimizing cognitive effort and streamlining the creation of complex workflows for clinical and scientific practice. At its core is an adaptable preprocessing module that performs co-registration, atlas registration, and optional skull-stripping and defacing on arbitrary multi-…

Former Wagner fighter seeks asylum in Finland after fleeing across Russian border, media reports: https://benborges.xyz/2025/07/12/former-wagner-fighter-seeks-asylum.html

Adaptive Framework for Ambient Intelligence in Rehabilitation Assistance
G\'abor Baranyi, Zsolt Csibi, Kristian Fenech, \'Aron F\'othi, Zs\'ofia Ga\'al, Joul Skaf, Andr\'as L\H{o}rincz
https://arxiv.org/abs/2507.08624

Adaptive Framework for Ambient Intelligence in Rehabilitation Assistance
This paper introduces the Ambient Intelligence Rehabilitation Support (AIRS) framework, an advanced artificial intelligence-based solution tailored for home rehabilitation environments. AIRS integrates cutting-edge technologies, including Real-Time 3D Reconstruction (RT-3DR), intelligent navigation, and large Vision-Language Models (VLMs), to create a comprehensive system for machine-guided physical rehabilitation. The general AIRS framework is demonstrated in rehabilitation scenarios following…

SaraCoder: Orchestrating Semantic and Structural Cues for Profit-Oriented Repository-Level Code Completion
Xiaohan Chen, Zhongying Pan, Quan Feng, Yu Tian, Shuqun Yang, Mengru Wang, Lina Gong, Yuxia Geng, Piji Li, Xiang Chen
https://arxiv.org/abs/2508.10068

SaraCoder: Orchestrating Semantic and Structural Cues for Profit-Oriented Repository-Level Code Completion
Retrieval-augmented generation (RAG) for repository-level code completion commonly relies on superficial text similarity, leading to results plagued by semantic misguidance, redundancy, and homogeneity, while also failing to resolve external symbol ambiguity. To address these challenges, we introduce Saracoder, a Hierarchical Feature-Optimized retrieval framework. Its core Hierarchical Feature Optimization module systematically refines candidates by distilling deep semantic relationships, pruni…

Cowboys to work out UFL star, former 4th-round pick familiar with new DL coach https://www.si.com/nfl/cowboys/news/dallas-cowboys-work-out-ufl-star-former-4th-round-pick-perrion-winfrey-familiar-new-dl-coac…

Dual-View Disentangled Multi-Intent Learning for Enhanced Collaborative Filtering
Shanfan Zhang, Yongyi Lin, Yuan Rao, Chenlong Zhang
https://arxiv.org/abs/2506.11538

Dual-View Disentangled Multi-Intent Learning for Enhanced Collaborative Filtering
Disentangling user intentions from implicit feedback has become a promising strategy to enhance recommendation accuracy and interpretability. Prior methods often model intentions independently and lack explicit supervision, thus failing to capture the joint semantics that drive user-item interactions. To address these limitations, we propose DMICF, a unified framework that explicitly models interaction-level intent alignment while leveraging structural signals from both user and item perspectiv…

Ex-DB 'Pacman' Jones pleads not guilty after arrest https://www.espn.com/nfl/story/_/id/45495954/former-nfl-db-adam-pacman-jones-pleads-not-guilty-multiple-charges-recent-kentucky-arrest

Reactive Model Predictive Contouring Control for Robot Manipulators
Junheon Yoon, Woo-Jeong Baek, Jaeheung Park
https://arxiv.org/abs/2508.09502 https://ar…

Reactive Model Predictive Contouring Control for Robot Manipulators
This contribution presents a robot path-following framework via Reactive Model Predictive Contouring Control (RMPCC) that successfully avoids obstacles, singularities and self-collisions in dynamic environments at 100 Hz. Many path-following methods rely on the time parametrization, but struggle to handle collision and singularity avoidance while adhering kinematic limits or other constraints. Specifically, the error between the desired path and the actual position can become large when executi…