Tootfinder

Foundational rule of settings management in UI design:
Make sure the only thing anyone ever wants to change is in the Advanced Settings submenu, and make that as difficult as possible to discover. If it can actually be discovered, put in place a short timeout to prevent the user making the change before the option disappears.

Sentiment Analysis in Learning Management Systems Understanding Student Feedback at Scale
Mohammed Almutairi
https://arxiv.org/abs/2506.05490 https://

Sentiment Analysis in Learning Management Systems Understanding Student Feedback at Scale
During the wake of the Covid-19 pandemic, the educational paradigm has experienced a major change from in person learning traditional to online platforms. The change of learning convention has impacted the teacher-student especially in non-verbal communication. The absent of non-verbal communication has led to a reliance on verbal feedback which diminished the efficacy of the educational experience. This paper explores the integration of sentiment analysis into learning management systems (LMS)…

Tracking of Intermittent and Moving Speakers : Dataset and Metrics
Taous Iatariene (MULTISPEECH), Alexandre Gu\'erin (MULTISPEECH), Romain Serizel (MULTISPEECH)
https://arxiv.org/abs/2506.11145

Tracking of Intermittent and Moving Speakers : Dataset and Metrics
This paper presents the problem of tracking intermittent and moving sources, i.e, sources that may change position when they are inactive. This issue is seldom explored, and most current tracking methods rely on spatial observations for track identity management. They are either based on a previous localization step, or designed to perform joint localization and tracking by predicting ordered position estimates. This raises concerns about whether such methods can maintain reliable track identit…

VolTex: Food Volume Estimation using Text-Guided Segmentation and Neural Surface Reconstruction
Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva
https://arxiv.org/abs/2506.02895

VolTex: Food Volume Estimation using Text-Guided Segmentation and Neural Surface Reconstruction
Accurate food volume estimation is crucial for dietary monitoring, medical nutrition management, and food intake analysis. Existing 3D Food Volume estimation methods accurately compute the food volume but lack for food portions selection. We present VolTex, a framework that improves \change{the food object selection} in food volume estimation. Allowing users to specify a target food item via text input to be segmented, our method enables the precise selection of specific food objects in real-wo…

Replaced article(s) found for cs.DL. https://arxiv.org/list/cs.DL/new
[1/1]:
- HERITRACE: A User-Friendly Semantic Data Editor with Change Tracking and Provenance Management fo...
Arcangelo Massari, Silvio Peroni

Snap-Through Thermomechanical Metamaterials for High-Performance Thermal Rectification
Qinyun Ding, Yuhao Wang, Guanqing Xiong, Wei Chen, Ying Chen, Zhaoguang Wang, Arup Neogi, Jaehyung Ju
https://arxiv.org/abs/2506.23489

Snap-Through Thermomechanical Metamaterials for High-Performance Thermal Rectification
Thermal diodes that enable directional heat transport are essential for advanced thermal management in microelectronics, energy systems, and thermal logic devices. However, existing designs based on phase-change materials, nanostructures, or interfacial engineering suffer from limited rectification performance, configurational inflexibility, and poor scalability. Here, we present a thermomechanical metamaterial-based thermal diode that combines temperature-responsive actuation with structural b…