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A new coefficient to measure agreement between continuous variables
Ronny Vallejos, Felipe Osorio, Clemente Ferrer
https://arxiv.org/abs/2507.07913 https:/…

A new coefficient to measure agreement between continuous variables
Assessing agreement between two instruments is crucial in clinical studies to evaluate the similarity between two methods measuring the same subjects. This paper introduces a novel coefficient, termed rho1, to measure agreement between continuous variables, focusing on scenarios where two instruments measure experimental units in a study. Unlike existing coefficients, rho1 is based on L1 distances, making it robust to outliers and not relying on nuisance parameters. The coefficient is derived f…

YouTube launches an AI Overviews-like carousel for searches related to shopping, places, and things to do in a specific place, for Premium users in the US (Aisha Malik/TechCrunch)
https://techcrunch.com/2025/06/26/youtube-adds-an-ai-ove…

YouTube adds an AI Overviews-like search results carousel | TechCrunch
YouTube is rolling out new AI-powered features to help users find content and information more easily, the company announced on Thursday.

Complex-Valued Holographic Radiance Fields
Yicheng Zhan, Dong-Ha Shin, Seung-Hwan Baek, Kaan Ak\c{s}it
https://arxiv.org/abs/2506.08350 https://

Complex-Valued Holographic Radiance Fields
Modeling the full properties of light, including both amplitude and phase, in 3D representations is crucial for advancing physically plausible rendering, particularly in holographic displays. To support these features, we propose a novel representation that optimizes 3D scenes without relying on intensity-based intermediaries. We reformulate 3D Gaussian splatting with complex-valued Gaussian primitives, expanding support for rendering with light waves. By leveraging RGBD multi-view images, our …

Recovering Exact Vibrational Energies Within a Phase Space Electronic Structure Framework
Xinchun Wu, Xuezhi Bian, Jonathan Rawlinson, Robert G. Littlejohn, Joseph E. Subotnik
https://arxiv.org/abs/2506.08230

Recovering Exact Vibrational Energies Within a Phase Space Electronic Structure Framework
In recent years, there has been a push to go beyond Born-Oppenheimer theory and build electronic states from a phase space perspective, i.e. parameterize electronic states by both nuclear position(R) and nuclear momentum(P). Previous empirical studies have demonstrated that such approaches can yield improved single-surface observables, including vibrational energies, electronic momenta, and vibrational circular dichroism spectra. That being said, unlike the case of BO theory, there is no unique…

YouTube launches an AI Overviews-like carousel for searches related to shopping, places, and things to do in a specific place, for Premium users in the US (Aisha Malik/TechCrunch)
https://techcrunch.com/2025/06/26/youtube-adds-an-ai-ove…

YouTube adds an AI Overviews-like search results carousel | TechCrunch
YouTube is rolling out new AI-powered features to help users find content and information more easily, the company announced on Thursday.

Mathematical Modelling of Oscillatory Dynamics in Circular Traffic Systems
Craig S Wright
https://arxiv.org/abs/2507.06702 https://ar…

Mathematical Modelling of Oscillatory Dynamics in Circular Traffic Systems
This paper presents a rigorous analytical model of traffic dynamics on a circular track, demonstrating the emergence of standing oscillations resulting from microscopic driver behaviour, delay responses, and proximity pressure. Without relying on simulation, we derive a series of coupled delay differential equations to model vehicular interactions. By introducing a mnemonic-based symbolic system, we establish a mathematical framework incorporating stochastic initial conditions, non-uniform reac…

Learning to Recover: Dynamic Reward Shaping with Wheel-Leg Coordination for Fallen Robots
Boyuan Deng, Luca Rossini, Jin Wang, Weijie Wang, Nikolaos Tsagarakis
https://arxiv.org/abs/2506.05516

Learning to Recover: Dynamic Reward Shaping with Wheel-Leg Coordination for Fallen Robots
Adaptive recovery from fall incidents are essential skills for the practical deployment of wheeled-legged robots, which uniquely combine the agility of legs with the speed of wheels for rapid recovery. However, traditional methods relying on preplanned recovery motions, simplified dynamics or sparse rewards often fail to produce robust recovery policies. This paper presents a learning-based framework integrating Episode-based Dynamic Reward Shaping and curriculum learning, which dynamically bal…

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques
Walid Mohamed Aly, Taysir Hassan A. Soliman, Amr Mohamed AbdelAziz
https://arxiv.org/abs/2507.05123

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques
Large Language Models (LLMs) continue to advance natural language processing with their ability to generate human-like text across a range of tasks. Despite the remarkable success of LLMs in Natural Language Processing (NLP), their performance in text summarization across various domains and datasets has not been comprehensively evaluated. At the same time, the ability to summarize text effectively without relying on extensive training data has become a crucial bottleneck. To address these issu…

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ReLink: Computational Circular Design of Planar Linkage Mechanisms Using Available Standard Parts
Maxime Escande, Kristina Shea
https://arxiv.org/abs/2506.19657

ReLink: Computational Circular Design of Planar Linkage Mechanisms Using Available Standard Parts
The Circular Economy framework emphasizes sustainability by reducing resource consumption and waste through the reuse of components and materials. This paper presents ReLink, a computational framework for the circular design of planar linkage mechanisms using available standard parts. Unlike most mechanism design methods, which assume the ability to create custom parts and infinite part availability, ReLink prioritizes the reuse of discrete, standardized components, thus minimizing the need for…