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Journeys In Film (@JourneysInFilm@hcommons.social)
Angehängt: 1 Bild Announcing the new Journeys in Film website! We rebuilt it from the ground up to make it easier for you to find what you need and download what you want. - 1-click downloads: no login or checkout required! - Growing collection of single-lesson downloads. - Library sortable by elementary, middle school, high school, higher ed/adult ed and lesson collections. - Filters to search materials by subject, grade, resource type and theme. - Filters to search films by rating and run…

Voice-based AI Agents: Filling the Economic Gaps in Digital Health Delivery
Bo Wen, Chen Wang, Qiwei Han, Raquel Norel, Julia Liu, Thaddeus Stappenbeck, Jeffrey L. Rogers
https://arxiv.org/abs/2507.16229

Voice-based AI Agents: Filling the Economic Gaps in Digital Health Delivery
The integration of voice-based AI agents in healthcare presents a transformative opportunity to bridge economic and accessibility gaps in digital health delivery. This paper explores the role of large language model (LLM)-powered voice assistants in enhancing preventive care and continuous patient monitoring, particularly in underserved populations. Drawing insights from the development and pilot study of Agent PULSE (Patient Understanding and Liaison Support Engine) -- a collaborative initiati…

Tuning chiral anomaly signature in a Dirac semimetal via fast-ion implantation
Manasi Mandal, Eunbi Rha, Abhijatmedhi Chotrattanapituk, Denisse C\'ordova Carrizales, Alexander Lygo, Kevin B. Woller, Mouyang Cheng, Ryotaro Okabe, Guomin Zhu, Kiran Mak, Chu-Liang Fu, Chuhang Liu, Lijun Wu, Yimei Zhu, Susanne Stemmer, Mingda Li
https://ar…

Tuning chiral anomaly signature in a Dirac semimetal via fast-ion implantation
Cd$_3$As$_2$ is a prototypical Dirac semimetal that hosts a chiral anomaly and thereby functions as a platform to test high-energy physics hypotheses and to realize energy efficient applications. Here we use a combination of accelerator-based fast ion implantation and theory-driven planning to enhance the negative longitudinal magnetoresistance (NLMR)--a signature of a chiral anomaly--in Nb-doped Cd$_3$As$_2$ thin films. High-energy ion implantation is commonly used to investigate semiconductor…

The smallest singular value of sparse discrete random matrices
Kexin Yu
https://arxiv.org/abs/2507.17741 https://arxiv.org/pdf/2507.17741

The smallest singular value of sparse discrete random matrices
Let $M_n$ be an $n \times n$ random matrix with i.i.d. sparse discrete entries. In this paper, we develop a simple framework to solve the approximate Spielman-Teng theorem for $M_n$, which has the following form: There exist constants $C, c>0$ such that for all $η\geq 0$, $\textbf{P}\left(s_n\left(M_n\right) \leq η\right) \lesssim n^C η+\exp \left(-n^c\right)$. As an application, we give an approximate Spielman-Teng theorem for $M_n$ whose entries are $μ-$lazy random variables, extending pr…

CAI Fluency: A Framework for Cybersecurity AI Fluency
V\'ictor Mayoral-Vilches, Jasmin Wachter, Crist\'obal R. J. Veas Chavez, Cathrin Schachner, Luis Javier Navarrete-Lozano, Mar\'ia Sanz-G\'omez
https://arxiv.org/abs/2508.13588

CAI Fluency: A Framework for Cybersecurity AI Fluency
This work introduces CAI Fluency, an an educational platform of the Cybersecurity AI (CAI) framework dedicated to democratizing the knowledge and application of cybersecurity AI tools in the global security community. The main objective of the CAI framework is to accelerate the widespread adoption and effective use of artificial intelligence-based cybersecurity solutions, pathing the way to vibe-hacking, the cybersecurity analogon to vibe-coding. CAI Fluency builds upon the Framework for AI F…

Roblox shares closed down 6.34% on Friday after the company was accused in two lawsuits of failing to sufficiently protect youngsters on its platform (Cecilia D'Anastasio/Bloomberg)
https://www.bloomberg.com/news/articles/20

Exact static linear response of excited states from ensemble density functional theory
Lucien Dupuy, Emmanuel Fromager
https://arxiv.org/abs/2506.16363 htt…

Exact static linear response of excited states from ensemble density functional theory
Following a recent work [E. Fromager, J. Phys. Chem. A 2025, 129, 4, 1143-1155] on the ensemble density functional theory (DFT) of excited electronic energy levels, we derive in this paper the ensuing static linear response theory, thus allowing for an in-principle exact evaluation of excited-state density-density linear response functions in a completely frequency-independent setting. Once individual-state components of the inverse ensemble linear response function have been introduced, a work…

@… filmfriend.de is an offer by german public libraries to stream a large number of films for free (limited to card holders of german libraries. If your residence is outside germany, you can create a free account with Goethe Institut, than register online with the public library of Goethe Institut, than login into filmfriend.de). If you try to stream a fi…

Expertise-aware Multi-LLM Recruitment and Collaboration for Medical Decision-Making
Liuxin Bao, Zhihao Peng, Xiaofei Zhou, Runmin Cong, Jiyong Zhang, Yixuan Yuan
https://arxiv.org/abs/2508.13754

Expertise-aware Multi-LLM Recruitment and Collaboration for Medical Decision-Making
Medical Decision-Making (MDM) is a complex process requiring substantial domain-specific expertise to effectively synthesize heterogeneous and complicated clinical information. While recent advancements in Large Language Models (LLMs) show promise in supporting MDM, single-LLM approaches are limited by their parametric knowledge constraints and static training corpora, failing to robustly integrate the clinical information. To address this challenge, we propose the Expertise-aware Multi-LLM Rec…