Tootfinder

Eu coloco um despertador pra tocar a cada dez minutos, para ter certeza de que eu vou levantar. Mas, mesmo assim, hoje o despertador tocou Šs 8:35 e depois eu só lembro de tê-lo visto tocar novamente Šs 9:35. Ou seja, pretendia retormar o Pilates hoje mas perdi a sessão 😩. Não é um início auspicioso para um novo mês... Vamos que vamos tentar correr atršs do prejuízo do jeito que der, mas estou preocupado, não lembro de jamais ter começado um semestre novo com este nível de cansaço.

Will AI in the classroom mean students asking ChatGPT for help with algebra homework, or strapping on a headband that streams their brainwaves to teachers and parents? In China, teachers are already policing attention with the latter
https://www.linked…

High performance visualization for Astronomy and Cosmology: the VisIVO's pathway toward Exascale systems
Eva Sciacca, Nicola Tuccari, Fabio Vitello, Valentina Cesare
https://arxiv.org/abs/2508.20603

High performance visualization for Astronomy and Cosmology: the VisIVO's pathway toward Exascale systems
Petabyte-scale data volumes are generated by observations and simulations in modern astronomy and astrophysics. Storage, access, and data analysis are significantly hampered by such data volumes and are leading to the development of a new generation of software tools. The Visualization Interface for the Virtual Observatory (VisIVO) has been designed, developed and maintained by INAF since 2005 to perform multi-dimensional data analysis and knowledge discovery in multivariate astrophysical datas…

https://www.theguardian.com/global-development/2025/sep/23/taliban-afghanistan-internet-shutdown-women-girls-education-hope
>When the wifi was cut, she switched to her phone but says: “The teacher’s voice ke…

HemePLM-Diffuse: A Scalable Generative Framework for Protein-Ligand Dynamics in Large Biomolecular System
Rakesh Thakur, Riya Gupta
https://arxiv.org/abs/2508.16587 https://

HemePLM-Diffuse: A Scalable Generative Framework for Protein-Ligand Dynamics in Large Biomolecular System
Comprehending the long-timescale dynamics of protein-ligand complexes is very important for drug discovery and structural biology, but it continues to be computationally challenging for large biomolecular systems. We introduce HemePLM-Diffuse, an innovative generative transformer model that is designed for accurate simulation of protein-ligand trajectories, inpaints the missing ligand fragments, and sample transition paths in systems with more than 10,000 atoms. HemePLM-Diffuse has features of …

LearnLens: An AI-Enhanced Dashboard to Support Teachers in Open-Ended Classrooms
Namrata Srivastava, Shruti Jain, Clayton Cohn, Naveeduddin Mohammed, Umesh Timalsina, Gautam Biswas
https://arxiv.org/abs/2509.10582

LearnLens: An AI-Enhanced Dashboard to Support Teachers in Open-Ended Classrooms
Exploratory learning environments (ELEs), such as simulation-based platforms and open-ended science curricula, promote hands-on exploration and problem-solving but make it difficult for teachers to gain timely insights into students' conceptual understanding. This paper presents LearnLens, a generative AI (GenAI)-enhanced teacher-facing dashboard designed to support problem-based instruction in middle school science. LearnLens processes students' open-ended responses from digital assessments to…

Crystal Growth, Band Structure, Magnetism and Electrochemical Properties of Hexavalent Strontium Ruthenium Oxyhydroxide
Subham Naik, Soumili Dutta, Hiranmayee Senapati, Sweta Yadav, Subarna Ray, Jai Prakash, Rahul Sharma, Gohil S. Thakur
https://arxiv.org/abs/2509.15671

Crystal Growth, Band Structure, Magnetism and Electrochemical Properties of Hexavalent Strontium Ruthenium Oxyhydroxide
Ruthenates comprise an interesting class of materials with a wide range of extremely exciting properties, and thus the discovery of new stable ruthenates remains an active area of investigation. We report the crystal growth and comprehensive studies including crystal and electronic structure, magnetic and electrochemical properties of a hexavalent ruthenium oxyhydroxide Sr3Ru2O9H2 prepared through a low-temperature hydrothermal method. Single crystals and powder samples of this phase are isolat…

JWST Discovery of Strong Lensing from a Galaxy Cluster at Cosmic Noon: Giant Arcs and a Highly Concentrated Core of XLSSC 122
Kyle Finner, Sangjun Cha, Zachary P. Scofield, M. James Jee, Yu-heng Lin, Hyungjin Joo, Hyosun Park, Takahiro Morishita, Andreas Faisst, Bomee Lee, Wuji Wang, Ranga-Ram Chary
https://arxiv.org/abs/2508.08356

JWST Discovery of Strong Lensing from a Galaxy Cluster at Cosmic Noon: Giant Arcs and a Highly Concentrated Core of XLSSC 122
Our observations with the James Webb Space Telescope have made the remarkable discovery of strong gravitational lensing arcs from XLSSC 122 ($z=1.98$) - setting the record for the most distant galaxy cluster that exhibits strong lensing. The discovery of giant arcs enables a strong-lensing analysis and a measurement of the concentration of the dark matter halo. We perform a strong-lensing analysis of the cluster and measure the radial projected mass density profile. Our measurements reveal an e…

NEFMind: Parameter-Efficient Fine-Tuning of Open-Source LLMs for Telecom APIs Automation
Zainab Khan, Ahmed Hussain, Mukesh Thakur, Arto Hellas, Panos Papadimitratos
https://arxiv.org/abs/2508.09240

NEFMind: Parameter-Efficient Fine-Tuning of Open-Source LLMs for Telecom APIs Automation
The use of Service-Based Architecture in modern telecommunications has exponentially increased Network Functions (NFs) and Application Programming Interfaces (APIs), creating substantial operational complexities in service discovery and management. We introduce \textit{NEFMind}, a framework leveraging parameter-efficient fine-tuning of open-source Large Language Models (LLMs) to address these challenges. It integrates three core components: synthetic dataset generation from Network Exposure Fun…

A Possible Shutting-Down Event of Mass Accretion in An Active Galactic Nucleus at z~1.8
Tomoki Morokuma, Malte Schramm, Toshihiro Kawaguchi, Josefa Becerra Gonz\'alez, Jose Antonio Acosta-Pulido, Nieves Castro-Rodr\'iguez, Kana Morokuma-Matsui, Shintaro Koshida, Junko Furusawa, Hisanori Furusawa, Tsuyoshi Terai, Fumi Yoshida, Kotaro Niinuma, Yoshiki Toba

A Possible Shutting-Down Event of Mass Accretion in An Active Galactic Nucleus at z~1.8
We present the discovery of a large gradual apparent fading event in optical and near-infrared wavelengths in a quasar at z=1.767 by a factor of 20-30 (in optical) over a period of ~20 years in the observed frame. This pronounced fading trend in brightness was first identified by comparing the magnitudes measured in the Subaru/Hyper Suprime-Cam (HSC) images with those in the Sloan Digital Sky Survey (SDSS) images for ~3x10^4 quasars spectroscopically identified by SDSS. We performed follow-up o…