Tootfinder

Such b.s.: "He said "good people" oppose trans kids participating in school sports and it "doesn't make you homophobic" to want to ban them." Oh, *yes it does* make you homophobic.
Gavin Newsom rages about trans kids in sports & how Democrats hate his stance - LGBTQ Nation
https://www.lgbtqnation.com/2025/07/gavin-newsom-rages-about-trans-kids-in-sports-how-democrats-hate-his-stance/

:heart_trans: I just ordered a #TransFlag! :heart_trans:
https://butikk.oslopride.no/collections/alle-balkongflagg/products/balkongflagg-trans…

charlie kirk assasination is the most sickening news cycle to me in a long time not for any of the reasons u might jump to (im numb to the fact trans people and privacy and free speech are kinda cooked in the us), but cuz i just cant work out what's real anymore. every step of the way ive been thrown off by the sheer amount of misinformation, and even worse needing others to point out that multiple images were ai. most nihilistic and empty its ever been

Orbis: Overcoming Challenges of Long-Horizon Prediction in Driving World Models
Arian Mousakhan, Sudhanshu Mittal, Silvio Galesso, Karim Farid, Thomas Brox
https://arxiv.org/abs/2507.13162

Orbis: Overcoming Challenges of Long-Horizon Prediction in Driving World Models
Existing world models for autonomous driving struggle with long-horizon generation and generalization to challenging scenarios. In this work, we develop a model using simple design choices, and without additional supervision or sensors, such as maps, depth, or multiple cameras. We show that our model yields state-of-the-art performance, despite having only 469M parameters and being trained on 280h of video data. It particularly stands out in difficult scenarios like turning maneuvers and urban …

Multi-robot Multi-source Localization in Complex Flows with Physics-Preserving Environment Models
Benjamin Shaffer, Victoria Edwards, Brooks Kinch, Nathaniel Trask, M. Ani Hsieh
https://arxiv.org/abs/2509.14228

Multi-robot Multi-source Localization in Complex Flows with Physics-Preserving Environment Models
Source localization in a complex flow poses a significant challenge for multi-robot teams tasked with localizing the source of chemical leaks or tracking the dispersion of an oil spill. The flow dynamics can be time-varying and chaotic, resulting in sporadic and intermittent sensor readings, and complex environmental geometries further complicate a team's ability to model and predict the dispersion. To accurately account for the physical processes that drive the dispersion dynamics, robots must…

heise | iOS und iPadOS 26 in Action: 23 Tipps für die neuen Apple-Systeme
Apples 26er-Systeme sind da. Wir zeigen, wie sie mit Liquid Glass, flexiblem Sperrbildschirm, neuen Systemfunktionen und Widgets in CarPlay umgehen – und mehr.

Coherent Driving of a Quantum System with Modulated Free-Space Electrons
Matthias Kolb, Thomas Spielauer, Thomas Weigner, Giovanni Boero, Dennis R\"atzel, Philipp Haslinger
https://arxiv.org/abs/2509.13904

Coherent Driving of a Quantum System with Modulated Free-Space Electrons
Control of quantum systems typically relies on the interaction with electromagnetic radiation. In this study, we experimentally show that the electromagnetic near-field of a spatially modulated freespace electron beam can be used to drive spin systems, demonstrating free-electron-bound-electron resonant interaction. By periodically deflecting the electron beam of a scanning electron microscope in close proximity to a spin-active solid-state sample, and sweeping the deflection frequency across t…

Partitioned Conservative, Variable Step, Second-Order Method for Magneto-hydrodynamics In Els\"asser Variables
Zhen Yao, Catalin Trenchea, Wenlong Pei
https://arxiv.org/abs/2507.12700

Partitioned Conservative, Variable Step, Second-Order Method for Magneto-hydrodynamics In Elsässer Variables
Magnetohydrodynamics (MHD) describes the interaction between electrically conducting fluids and electromagnetic fields. We propose and analyze a symplectic, second-order algorithm for the evolutionary MHD system in Elsässer variables. We reduce the computational cost of the iterative non-linear solver, at each time step, by partitioning the coupled system into two subproblems of half size, solved in parallel. We prove that the iterations converge linearly, under a time step restriction similar…

Emergence of cosmic structure from Planckian discreteness
Gabriel R. Bengochea, Gabriel Leon, Alejandro Perez
https://arxiv.org/abs/2506.15413 https://

Emergence of cosmic structure from Planckian discreteness
In the standard inflationary paradigm the inhomogeneities observed in the CMB arise from quantum fluctuations of an initially homogeneous and isotropic vacuum state. This picture suffers from two well-known weaknesses. First, it assumes that quantum field theory remains valid at trans-Planckian scales, without modifications from quantum gravity. Second, it necessitates a quantum-to-classical transition in which fluctuations of a homogeneous quantum state become the classical inhomogeneities see…

A Comprehensive Perspective on Explainable AI across the Machine Learning Workflow
George Paterakis, Andrea Castellani, George Papoutsoglou, Tobias Rodemann, Ioannis Tsamardinos
https://arxiv.org/abs/2508.11529

A Comprehensive Perspective on Explainable AI across the Machine Learning Workflow
Artificial intelligence is reshaping science and industry, yet many users still regard its models as opaque "black boxes". Conventional explainable artificial-intelligence methods clarify individual predictions but overlook the upstream decisions and downstream quality checks that determine whether insights can be trusted. In this work, we present Holistic Explainable Artificial Intelligence (HXAI), a user-centric framework that embeds explanation into every stage of the data-analysis workflow …

Framing Migration: A Computational Analysis of UK Parliamentary Discourse
Vahid Ghafouri, Robert McNeil, Teodor Yankov, Madeleine Sumption, Luc Rocher, Scott A. Hale, Adam Mahdi
https://arxiv.org/abs/2509.14197

Framing Migration: A Computational Analysis of UK Parliamentary Discourse
We present a large-scale computational analysis of migration-related discourse in UK parliamentary debates spanning over 75 years and compare it with US congressional discourse. Using open-weight LLMs, we annotate each statement with high-level stances toward migrants and track the net tone toward migrants across time and political parties. For the UK, we extend this with a semi-automated framework for extracting fine-grained narrative frames to capture nuances of migration discourse. Our findi…

#Lilischote weißt in diesem kurzen Video auf eine alarmierende Entwicklung in Großbritannien hin: Die bloße Existenz von trans Menschen darf im Schulunterricht nicht mehr erwähnt werden.
https://youtube.com/shorts/tEf69BV-hDE

Before you continue to YouTube

Analyzing URA Geometry for Enhanced Spatial Multiplexing and Extended Near-Field Coverage
Ahmed Hussain, Asmaa Abdallah, Abdulkadir Celik, Ahmed M. Eltawil
https://arxiv.org/abs/2506.15470

Analyzing URA Geometry for Enhanced Spatial Multiplexing and Extended Near-Field Coverage
With the deployment of large antenna arrays at high frequency bands, future wireless communication systems are likely to operate in the radiative near-field. Unlike far-field beam steering, near-field beams can be focused within a spatial region of finite depth, enabling spatial multiplexing in both the angular and range dimensions. This paper derives the beamdepth for a generalized uniform rectangular array (URA) and investigates how array geometry influences the near-field beamdepth and the l…

A self-supervised learning approach for denoising autoregressive models with additive noise: finite and infinite variance cases
Sayantan Banerjee, Agnieszka Wylomanska, Sundar S
https://arxiv.org/abs/2508.12970

A self-supervised learning approach for denoising autoregressive models with additive noise: finite and infinite variance cases
The autoregressive time series model is a popular second-order stationary process, modeling a wide range of real phenomena. However, in applications, autoregressive signals are often corrupted by additive noise. Further, the autoregressive process and the corruptive noise may be highly impulsive, stemming from an infinite-variance distribution. The model estimation techniques that account for additional noise tend to show reduced efficacy when there is very strong noise present in the data, esp…

TICL: Text-Embedding KNN For Speech In-Context Learning Unlocks Speech Recognition Abilities of Large Multimodal Models
Haolong Zheng, Yekaterina Yegorova, Mark Hasegawa-Johnson
https://arxiv.org/abs/2509.13395

TICL: Text-Embedding KNN For Speech In-Context Learning Unlocks Speech Recognition Abilities of Large Multimodal Models
Speech foundation models have recently demonstrated the ability to perform Speech In-Context Learning (SICL). Selecting effective in-context examples is crucial for SICL performance, yet selection methodologies remain underexplored. In this work, we propose Text-Embedding KNN for SICL (TICL), a simple pipeline that uses semantic context to enhance off-the-shelf large multimodal models' speech recognition ability without fine-tuning. Across challenging automatic speech recognition tasks, includi…

A dark energy model for coasting cosmology
Yunliang Ren, Xiaofeng Yang, Xuwei Zhang, Shuangnan Chen, Yangjun Shi, Cheng Cheng, Xiaolong He, Hoernisa Iminniyaz
https://arxiv.org/abs/2509.15039

A dark energy model for coasting cosmology
Coasting cosmology offers an intriguing and straightforward framework for understanding the universe. In this work, we employ the Trans-Planckian Censorship Criterion (TCC) conjecture to test the viability of the coasting cosmology and propose an entropic dark energy (EDE) model within this framework. By applying the holographic principle to constrain the dark energy density and adopting the Bekenstein entropy and Tsallis entropy as the constraining entropies of the system, we find that, in a h…

Lattice polytopes and semigroup algebras: Generic Lefschetz properties and Parseval-Rayleigh identities
Karim Alexander Adiprasito, Stavros Argyrios Papadakis, Vasiliki Petrotou
https://arxiv.org/abs/2509.14152

Lattice polytopes and semigroup algebras: Generic Lefschetz properties and Parseval-Rayleigh identities
We study semigroup algebras associated to lattice polytopes. We begin by generalizing and refining work of Hochster, and describe the volume maps of these algebras, that is, their fundamental classes, in terms of Parseval-Rayleigh identities and differential equations, which we prove to be equivalent. We use these descriptions to establish strong Lefschetz properties. A consequence is the resolution of several conjectures concerning unimodality properties of the h*-polynomial of lattice p…

From plasma to pattern: observation and characterization of periodic structure formation in dielectric breakdown channels of electron-irradiated insulators
Nick R. Schwartz, Bryson C. Clifford, Carolyn Chun, Emily H. Frashure, Kathryn M. Sturge, Noah Hoppis, Holly Wilson, Meryl Wiratmo, Jack R. FitzGibbon, Ethan T. Basinger, Brian L. Beaudoin, Raymond J. Phaneuf, John Cumings, Timothy W. Koeth

From plasma to pattern: observation and characterization of periodic structure formation in dielectric breakdown channels of electron-irradiated insulators
Dielectric breakdown of insulators is one of the most common failure modes of electronics in the high-radiation environment of space, but its mechanics remain poorly understood. When electron-irradiated polymethyl methacrylate (PMMA) undergoes breakdown, the resulting channels exhibit striking periodic structures with characteristic wavelengths ~80 μm in the recently identified ivy-mode channels. These previously unobserved modulations offer unique insights into the physics of ultra-fast diele…

Tuning Coupled Toroidic and Polar Orders in a Bilayer Antiferromagnet
Chuangtang Wang, Xiaoyu Guo, Zixin Zhai, Meixin Cheng, Sang-Wook Cheong, Adam W. Tsen, Bing Lv, Liuyan Zhao
https://arxiv.org/abs/2509.13542

Tuning Coupled Toroidic and Polar Orders in a Bilayer Antiferromagnet
Magnetic toroidal order features a loop-like arrangement of magnetic dipole moments, thus breaking both spatial inversion (P) and time-reversal (T) symmetries while preserving their combined PT sym-metry. This PT symmetry enables a linear magnetoelectric effect, allowing the coupling between magnetic toroidicity and electric polarity. However, the detection and control of two-dimensional (2D) magnetic toroidal order and the investigation of its linear magnetoelectric response remain largely une…

fastWDM3D: Fast and Accurate 3D Healthy Tissue Inpainting
Alicia Durrer, Florentin Bieder, Paul Friedrich, Bjoern Menze, Philippe C. Cattin, Florian Kofler
https://arxiv.org/abs/2507.13146

fastWDM3D: Fast and Accurate 3D Healthy Tissue Inpainting
Healthy tissue inpainting has significant applications, including the generation of pseudo-healthy baselines for tumor growth models and the facilitation of image registration. In previous editions of the BraTS Local Synthesis of Healthy Brain Tissue via Inpainting Challenge, denoising diffusion probabilistic models (DDPMs) demonstrated qualitatively convincing results but suffered from low sampling speed. To mitigate this limitation, we adapted a 2D image generation approach, combining DDPMs w…

Lou Reed with Rachel Humphreys, his trans girlfriend he treated like shit and shot speed with and wrote an album about and got dumped by after he got mad at her for wanting a vagina.
He said of her, "Rachel was completely disinterested in who I was and what I did. Nothing could impress her. [....] Rachel knows how to do it for me. No one else ever did before. Rachel’s something else.”
Reed's then-guitarist Robert Quine said that Reed once launched into a forty-five min…

The Impact of Social Attractiveness on Casual Group Formation: Power-Law Group Sizes and Suppressed Percolation
Matheus S. Mariano, Jos\'e F. Fontanari
https://arxiv.org/abs/2507.12585

The Impact of Social Attractiveness on Casual Group Formation: Power-Law Group Sizes and Suppressed Percolation
The dynamics of casual group formation has long been a subject of interest in social sciences. While early stochastic models offered foundational insights into group size distributions, they often simplified individual behaviors and lacked mechanisms for heterogeneous social appeal. Here, we re-examine the attractiveness-driven interaction model, an agent-based framework where point-like agents move randomly in a 2D arena and exhibit varied social appeal, leading them to pause near highly attra…

Elon Musk has called for a
“dissolution of parliament” and a
“change of government” in the UK
while addressing a crowd attending a far-right “unite the kingdom” rally in London,
organised by the despotic activist Stephen Yaxley-Lennon, known as Tommy Robinson.

Evaluation of Neural Surrogates for Physical Modelling Synthesis of Nonlinear Elastic Plates
Carlos De La Vega Martin, Rodrigo Diaz Fernandez, Mark Sandler
https://arxiv.org/abs/2507.12563

Evaluation of Neural Surrogates for Physical Modelling Synthesis of Nonlinear Elastic Plates
Physical modelling synthesis aims to generate audio from physical simulations of vibrating structures. Thin elastic plates are a common model for drum membranes. Traditional numerical methods like finite differences and finite elements offer high accuracy but are computationally demanding, limiting their use in real-time audio applications. This paper presents a comparative analysis of neural network-based approaches for solving the vibration of nonlinear elastic plates. We evaluate several sta…

Unconventional Spin Dynamics and Supersolid Excitations in the Triangular-Lattice XXZ Model
Rafael Flores-Calder\'on, Roderich Moessner, Frank Pollmann
https://arxiv.org/abs/2506.15516

Unconventional Spin Dynamics and Supersolid Excitations in the Triangular-Lattice XXZ Model
Motivated by recent experiments, we investigate the spin-1/2 XXZ model on the triangular lattice with strong Ising anisotropy, combining large-scale numerical simulations and analytical methods to uncover unconventional spin dynamics. First, we compute the dynamical spin structure factor using density matrix renormalization group (DMRG) simulations and find excellent agreement with inelastic neutron scattering data on the layered compound $\text{K}_2\text{Co}(\text{SeO}_3)_2$. The low-energy sp…

Efficient Optimization of Low-Rank Antisymmetric Product of Geminals Wavefunction Using the Direct Givens Rotation Method
Airi Kawasaki, Rei Oshima, Naoki Nakatani, Hiromi Nakai
https://arxiv.org/abs/2508.11822

Efficient Optimization of Low-Rank Antisymmetric Product of Geminals Wavefunction Using the Direct Givens Rotation Method
In our previous study, we proposed the low-rank antisymmetric product of geminals (APG) method, which reconstructs the wavefunction by extracting only the important eigenvalues from the APG wave function. However, its practical application was limited by the high computational cost from an orbital optimization process, making higher-rank calculations difficult. In this work, we reformulate the orbital part of the wavefunction using Givens rotation matrices, enabling an analytical treatment of t…

Always lovely to be a part of Galway Pride Parade. People Before Profit will always stand up for LGBTQIA rights. #Galway #GalwayPride

Impact of electronic correlations on the superconductivity of high-pressure CeH9
Siyu Chen, Yao Wei, Bartomeu Monserrat, Jan M. Tomczak, Samuel Ponc\'e
https://arxiv.org/abs/2507.12506

Impact of electronic correlations on the superconductivity of high-pressure CeH9
Rare-earth superhydrides have attracted considerable attention because of their high critical superconducting temperature under extreme pressures. They are known to have localized valence electrons, implying strong electronic correlations. However, such many-body effects are rarely included in first-principles studies of rare-earth superhydrides because of the complexity of their high-pressure phases. In this work, we use a combined density functional theory and dynamical mean-field theory appr…

Reconfigurable miniaturized computational spectrometer enabled by photoelastic effect
Linjun Zhai, Baolei Liu, Muchen Zhu, Yao Wang, Chaohao Chen, Zhaohua Yang, Lan Fu, Fan Wang
https://arxiv.org/abs/2508.12077

Reconfigurable miniaturized computational spectrometer enabled by photoelastic effect
Miniatured computational spectrometers, distinguished by their compact size and lightweight, have shown great promise for on-chip and portable applications in the fields of healthcare, environmental monitoring, food safety, and industrial process monitoring. However, the common miniaturization strategies predominantly rely on advanced micro-nano fabrication and complex material engineering, limiting their scalability and affordability. Here, we present a broadband miniaturized computational spe…

Towards Perception-based Collision Avoidance for UAVs when Guiding the Visually Impaired
Suman Raj, Swapnil Padhi, Ruchi Bhoot, Prince Modi, Yogesh Simmhan
https://arxiv.org/abs/2506.14857

Towards Perception-based Collision Avoidance for UAVs when Guiding the Visually Impaired
Autonomous navigation by drones using onboard sensors combined with machine learning and computer vision algorithms is impacting a number of domains, including agriculture, logistics, and disaster management. In this paper, we examine the use of drones for assisting visually impaired people (VIPs) in navigating through outdoor urban environments. Specifically, we present a perception-based path planning system for local planning around the neighborhood of the VIP, integrated with a global plann…

PFMBench: Protein Foundation Model Benchmark
Zhangyang Gao, Hao Wang, Cheng Tan, Chenrui Xu, Mengdi Liu, Bozhen Hu, Linlin Chao, Xiaoming Zhang, Stan Z. Li
https://arxiv.org/abs/2506.14796

PFMBench: Protein Foundation Model Benchmark
This study investigates the current landscape and future directions of protein foundation model research. While recent advancements have transformed protein science and engineering, the field lacks a comprehensive benchmark for fair evaluation and in-depth understanding. Since ESM-1B, numerous protein foundation models have emerged, each with unique datasets and methodologies. However, evaluations often focus on limited tasks tailored to specific models, hindering insights into broader generali…

Nach 35 Jahren: AOL stellt Einwahlmöglichkeit über Modem in den USA ein
Millionen Menschen haben das Internet zuerst dank AOL erkundet. Die Einwahl übers Modem hat der US-Anbieter noch immer im Angebot – aber im Herbst ist Schluss.

A numerical approach for the dynamics of active viscoelastic surfaces
Francine Kolley-K\"ochel, Jan Magnus Sischka, Axel Voigt, Elisabeth Fischer-Friedrich, Sebastian Aland
https://arxiv.org/abs/2509.13777

A numerical approach for the dynamics of active viscoelastic surfaces
The dynamics of active viscoelastic surfaces plays an important role in biological systems. One prominent example is the actin cortex, a thin bio-polymer sheet underneath the outer membrane of biological cells which combines active molecular force generation with viscoelastic behavior characterized by elastic properties at short timescales and viscous properties at longer timescales. We consider a surface Maxwell model within dominant rheology and an additional active term to model the dynamics…

High-energy interstellar isomers: cis-N-methylformamide in the G 0.693-0.027 molecular cloud
S. Zeng, V. M. Rivilla, M. Sanz-Novo, M. Melosso, I. Jim\'enez-Serra, L. Colzi, A. Meg\'ias, D. San Andr\'es, A. L\'opez-Gallifa, A. Mart\'inez-Hernares, S. Mart\'in
https://arxiv.org/abs/2509.12097

High-energy interstellar isomers: cis-N-methylformamide in the G+0.693-0.027 molecular cloud
Isomerism in complex organic molecules provides key insights into the formation mechanisms and physical conditions of the interstellar medium (ISM). Among the C$_2$H$_5$NO isomers, only acetamide and trans-N-methylformamide (trans-NMF) have been detected in space. The recent detection of higher-energy isomers in other chemical families raises questions about the formation and abundance of less stable isomers. We used ultra-sensitive wide-band spectral surveys obtained with the Yebes 40 m and IR…

Wave Function Collapse Set Covering and the Hill Climbing Algorithm: A New, Fast Heuristic and Metaheuristic Pairing for the Minimum Set Cover Problem
David Oprea, David Perkins
https://arxiv.org/abs/2509.12236

Wave Function Collapse Set Covering and the Hill Climbing Algorithm: A New, Fast Heuristic and Metaheuristic Pairing for the Minimum Set Cover Problem
In this paper, we present a new heuristic that focuses on the optimization problem for the Minimum Set Cover Problem. Our new heuristic involves using Wave Function Collapse and is called Wave Function Collapse Set Covering (WFC-SC). This algorithm goes through observation, propagation, and collapsing, which will be explained more later on in this paper. We optimize this algorithm to quickly find optimal coverings that are close to the minimum needed. To further optimize this algorithm, we pair…

A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy
Xiang Li, Yifan Lin, Yuanzhe Zhang
https://arxiv.org/abs/2507.12098

A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy
To mitigate privacy leakage and performance issues in personalized advertising, this paper proposes a framework that integrates federated learning and differential privacy. The system combines distributed feature extraction, dynamic privacy budget allocation, and robust model aggregation to balance model accuracy, communication overhead, and privacy protection. Multi-party secure computing and anomaly detection mechanisms further enhance system resilience against malicious attacks. Experimental…

UrgenGo: Urgency-Aware Transparent GPU Kernel Launching for Autonomous Driving
Hanqi Zhu, Wuyang Zhang, Xinran Zhang, Ziyang Tao, Xinrui Lin, Yu Zhang, Jianmin Ji, Yanyong Zhang
https://arxiv.org/abs/2509.12207

UrgenGo: Urgency-Aware Transparent GPU Kernel Launching for Autonomous Driving
The rapid advancements in autonomous driving have introduced increasingly complex, real-time GPU-bound tasks critical for reliable vehicle operation. However, the proprietary nature of these autonomous systems and closed-source GPU drivers hinder fine-grained control over GPU executions, often resulting in missed deadlines that compromise vehicle performance. To address this, we present UrgenGo, a non-intrusive, urgency-aware GPU scheduling system that operates without access to application sou…

hah, can't fire me if i don't have a job, suckers! https://mastodon.social/@PatrickoftheG/115199991716282130

StyleSculptor: Zero-Shot Style-Controllable 3D Asset Generation with Texture-Geometry Dual Guidance
Zefan Qu, Zhenwei Wang, Haoyuan Wang, Ke Xu, Gerhard Hancke, Rynson W. H. Lau
https://arxiv.org/abs/2509.13301

StyleSculptor: Zero-Shot Style-Controllable 3D Asset Generation with Texture-Geometry Dual Guidance
Creating 3D assets that follow the texture and geometry style of existing ones is often desirable or even inevitable in practical applications like video gaming and virtual reality. While impressive progress has been made in generating 3D objects from text or images, creating style-controllable 3D assets remains a complex and challenging problem. In this work, we propose StyleSculptor, a novel training-free approach for generating style-guided 3D assets from a content image and one or more styl…

The power spectrum of compressible turbulence: A story in symmetries
Olivier Coquand
https://arxiv.org/abs/2509.12103 https://arxiv.org/pdf/2509.12103

The power spectrum of compressible turbulence: A story in symmetries
This article presents a theoretical study of the scaling properties of the kinetic energy spectrum in compressible turbulence. From the fundamental symmetries and linear trans- formations of the microscopic action, we derive exact relations between the correlation functions and their generators. These relations put strong constraints on the possible scaling relations in the system as a function of scale. One of the main results of this study is that the action can be split between an incompress…

Replaced article(s) found for hep-th. https://arxiv.org/list/hep-th/new
[1/2]:
- Line Defects in Fermionic CFTs
Simone Giombi, Elizabeth Helfenberger, Himanshu Khanchandani

Sometimes, the best way to create is within confines. That's what Stan Stewart is choosing to do in his current short-term project.
#NewMusic #ComingSoon

Creating Through Limitations - Scales of Creation
Stan Stewart - @muz4now

Bitte unterschreibt das. Ihr wisst schon: Am Anfang kamen sie...
https://weact.campact.de/petitions/kei

Kein Sonderregister für trans* Personen – Nie wieder Listen gegen Minderheiten!
Hallo, ich bin Penelope Alva Frank, Transfrau, queerfeministische Aktivistin und Gründerin der queerfeministischen Bewegung Queermany. Ich weiß, wie es ist, jeden Tag Blicke, Sprüche und Angriffe auszuhalten, nur weil ich trans bin. Ich erlebe Queerfeindlichkeit auf der Straße, online und sogar in meinem Aktivismus wie bei, Polizei Gewahrsam 2023 und ich will mir gar nicht vorstellen, was passiert, wenn falsche Polizisten oder Behördenmitarbeiter Zugriff auf mein früheres Geschlecht...

Decoding Plastic Toxicity: An Intelligent Framework for Conflict-Aware Relational Metapath Extraction from Scientific Abstracts
Sudeshna Jana, Manjira Sinha, Tirthankar Dasgupta
https://arxiv.org/abs/2509.11330

Decoding Plastic Toxicity: An Intelligent Framework for Conflict-Aware Relational Metapath Extraction from Scientific Abstracts
The widespread use of plastics and their persistence in the environment have led to the accumulation of micro- and nano-plastics across air, water, and soil, posing serious health risks including respiratory, gastrointestinal, and neurological disorders. We propose a novel framework that leverages large language models to extract relational metapaths, multi-hop semantic chains linking pollutant sources to health impacts, from scientific abstracts. Our system identifies and connects entities acr…

🚂 Trans-Afghan Railway Project Gains Momentum After Eight Years
https://oilprice.com/Geopolitics/International/Trans-Afghan-Railway-Project-Gains-Momentum-After-Eight-Years.html

Trans-Afghan Railway Project Gains Momentum After Eight Years
Uzbekistan, Afghanistan, and Pakistan have signed a framework agreement to build a trans-Afghan railway, a project poised to significantly reduce transit times and boost trade flows in the region.

Utilizing Vision-Language Models as Action Models for Intent Recognition and Assistance
Cesar Alan Contreras, Manolis Chiou, Alireza Rastegarpanah, Michal Szulik, Rustam Stolkin
https://arxiv.org/abs/2508.11093

Utilizing Vision-Language Models as Action Models for Intent Recognition and Assistance
Human-robot collaboration requires robots to quickly infer user intent, provide transparent reasoning, and assist users in achieving their goals. Our recent work introduced GUIDER, our framework for inferring navigation and manipulation intents. We propose augmenting GUIDER with a vision-language model (VLM) and a text-only language model (LLM) to form a semantic prior that filters objects and locations based on the mission prompt. A vision pipeline (YOLO for object detection and the Segment An…

Instant prediction of relaxation in moir\'{e} superlattices using neural networks
Aleksei V. Belonovskii, Elizaveta I. Girshova, Erkki L\"ahderanta, Mikhail Kaliteevski
https://arxiv.org/abs/2509.13147

Instant prediction of relaxation in moiré superlattices using neural networks
The relaxation of moiré superlattices in twisted bilayers of transition metal dichalcogenides (TMDs) has been modeled using a set of neural-network-based approaches. We implemented and compared several architectures, including (i) an interpolator combined with an autoencoder, (ii) an interpolator combined with a decoder, (iii) a direct generator mapping input parameters to displacement fields, and (iv) a physics-informed neural network (PINN). Among these, the direct generator architecture dem…

Image-Based Multi-Survey Classification of Light Curves with a Pre-Trained Vision Transformer
Daniel Moreno-Cartagena, Guillermo Cabrera-Vives, Alejandra M. Mu\~noz Arancibia, Pavlos Protopapas, Francisco F\"orster, M\'arcio Catelan, A. Bayo, Pablo A. Est\'evez, P. S\'anchez-S\'aez, Franz E. Bauer, M. Pavez-Herrera, L. Hern\'andez-Garc\'ia, Gonzalo Rojas

Image-Based Multi-Survey Classification of Light Curves with a Pre-Trained Vision Transformer
We explore the use of Swin Transformer V2, a pre-trained vision Transformer, for photometric classification in a multi-survey setting by leveraging light curves from the Zwicky Transient Facility (ZTF) and the Asteroid Terrestrial-impact Last Alert System (ATLAS). We evaluate different strategies for integrating data from these surveys and find that a multi-survey architecture which processes them jointly achieves the best performance. These results highlight the importance of modeling survey-s…

Solving the Trans-Planckian Censorship Problem with a Power-law Tail in $R^2$ Inflation: A Dynamical System Approach
S. D. Odintsov, V. K. Oikonomou, Eleni I. Manouri, Asterios T. Papadopoulos
https://arxiv.org/abs/2509.11387

Solving the Trans-Planckian Censorship Problem with a Power-law Tail in $R^2$ Inflation: A Dynamical System Approach
In this work we elaborate on solving the trans-Planckian censorship problem of standard slow-roll inflation by using a power-law inflationary tail generated by a scalar field with an exponential potential. We use a quantitative approach by studying in detail the phase space of a combined $F(R,ϕ)$ cosmological system, focusing on the de Sitter and power-law subspaces of the total phase space. As we show, the de Sitter subspace of the $F(R,ϕ)$ system shares the same fixed points as the vacuum $…

"Pragmatic Tools or Empowering Friends?" Discovering and Co-Designing Personality-Aligned AI Writing Companions
Mengke Wu, Kexin Quan, Weizi Liu, Mike Yao, Jessie Chin
https://arxiv.org/abs/2509.11115

"Pragmatic Tools or Empowering Friends?" Discovering and Co-Designing Personality-Aligned AI Writing Companions
The growing popularity of AI writing assistants presents exciting opportunities to craft tools that cater to diverse user needs. This study explores how personality shapes preferences for AI writing companions and how personalized designs can enhance human-AI teaming. In an exploratory co-design workshop, we worked with 24 writers with different profiles to surface ideas and map the design space for personality-aligned AI writing companions, focusing on functionality, interaction dynamics, and …

I guess the delay in the C. Kirk case is that the maga-klan is having trouble finding the right person to accuse. They want to find someone who is a trans immigrant homeless Muslim who mail-in voted for Biden.

R2 priors for Grouped Variance Decomposition in High-dimensional Regression
Javier Enrique Aguilar, David Kohns, Aki Vehtari, Paul-Christian B\"urkner
https://arxiv.org/abs/2507.11833

R2 priors for Grouped Variance Decomposition in High-dimensional Regression
We introduce the Group-R2 decomposition prior, a hierarchical shrinkage prior that extends R2-based priors to structured regression settings with known groups of predictors. By decomposing the prior distribution of the coefficient of determination R2 in two stages, first across groups, then within groups, the prior enables interpretable control over model complexity and sparsity. We derive theoretical properties of the prior, including marginal distributions of coefficients, tail behavior, and …

Information-Theoretic Generalization Bounds of Replay-based Continual Learning
Wen Wen, Tieliang Gong, Yunjiao Zhang, Zeyu Gao, Weizhan Zhang, Yong-Jin Liu
https://arxiv.org/abs/2507.12043

Information-Theoretic Generalization Bounds of Replay-based Continual Learning
Continual learning (CL) has emerged as a dominant paradigm for acquiring knowledge from sequential tasks while avoiding catastrophic forgetting. Although many CL methods have been proposed to show impressive empirical performance, the theoretical understanding of their generalization behavior remains limited, particularly for replay-based approaches. In this paper, we establish a unified theoretical framework for replay-based CL, deriving a series of information-theoretic bounds that explicitly…

Zürich will geschlechtsangleichende Behandlungen für trans Jugendliche verbieten. 🏳️‍⚧️ Das gefährdet Leben & Selbstbestimmung! Unterschreibe jetzt die Petition gegen das Verbot. ✍️👇 https://act.campax.org/petitions/kein-verbot-kein-ruckschritt

Kein Verbot – Kein Rückschritt: Für kompetente und sichere Gesundheitsversorgung
Trans Jugendliche verdienen Schutz, nicht Verbote! 🏳️‍⚧️⚕️ Gesundheitsdirektorin Natalie Rickli will geschlechts­angleichende Behandlungen bei Minderjährigen pauschal verbieten – ohne wissenschaftliche Basis. Das gefährdet Leben, untergräbt Vertrauen in unser Gesundheitssystem und macht bewährte Versorgung unerreichbar. Wir fordern 👉 🔹 Keine politisch motivierten Verbote auf dem Rücken von Jugendlichen 🔹 Vertrauen in Medizin & Forschung 🔹 Erhalt der funktion…

GTA: Supervised-Guided Reinforcement Learning for Text Classification with Large Language Models
Min Zeng, Jinfei Sun, Xueyou Luo, Caiquan Liu, Shiqi Zhang, Li Xie, Xiaoxin Chen
https://arxiv.org/abs/2509.12108

GTA: Supervised-Guided Reinforcement Learning for Text Classification with Large Language Models
In natural language processing tasks, pure reinforcement learning (RL) fine-tuning methods often suffer from inefficient exploration and slow convergence; while supervised fine-tuning (SFT) methods, although efficient in training, have limited performance ceiling and less solid theoretical foundation compared to RL. To address efficiency-capability trade-off, we propose the Guess-Think-Answer (GTA) framework that combines the efficiency of SFT with the capability gains of RL in a unified traini…

> DOGE, he said, began acting like “a bunch of people who didn’t know what they were doing, with ideas of how government should run — thinking it should work like a McDonald’s or a bank — screaming all the time.”
The "screaming all the time" part is really common for people in government tech, albeit internal.

The Untold Saga Of What Happened When DOGE Stormed Social Security
This story was originally published by ProPublica. Republished under a CC BY-NC-ND 3.0 license. On Feb. 10, on the third floor of the Social Security Administration’s Baltimore-area headquarters, L…

An intense geomagnetic storm originated from stealth Coronal Mass Ejection: remote and $in situ$ observations by near radially aligned spacecraft
P. Vemareddy, K. Selva Bharathi
https://arxiv.org/abs/2509.10090

An intense geomagnetic storm originated from stealth Coronal Mass Ejection: remote and $in situ$ observations by near radially aligned spacecraft
We investigate the solar origin and heliospheric evolution of an intense geomagnetic storm that occurred on March 23-24, 2023. Despite multiple candidate CMEs observed between March 19-21, a weak CME detected on March 19 at 18:00 UT was identified as the cause, originating from the eruption of a longitudinal-filament channel near center of the sun. The channel underwent a smooth transition to eruption phase without detectable low coronal signatures. Wide-angle heliospheric imaging revealed asym…

WSJ retracts trans claim in Charlie Kirk shooting story - Salon.com
https://www.salon.com/2025/09/13/wsj-retracts-explosive-claim-in-charlie-kirk-shooting-story/

On the Smallest Size of Internal Collage Systems
Soichiro Migita, Kyotaro Uehata, Tomohiro I
https://arxiv.org/abs/2509.11602 https://arxiv.org/pdf/2509.11…

On the Smallest Size of Internal Collage Systems
A Straight-Line Program (SLP) for a stirng $T$ is a context-free grammar in Chomsky normal form that derives $T$ only, which can be seen as a compressed form of $T$. Kida et al.\ introduced collage systems [Theor. Comput. Sci., 2003] to generalize SLPs by adding repetition rules and truncation rules. The smallest size $c(T)$ of collage systems for $T$ has gained attention to see how these generalized rules improve the compression ability of SLPs. Navarro et al. [IEEE Trans. Inf. Theory, 2021] s…

Exploring ultra-high energy neutrino experiments through the lens of the transport equation
Stefano Palmisano, Diego Redigolo, Michele Tammaro, Andrea Tesi
https://arxiv.org/abs/2507.10665

Exploring ultra-high energy neutrino experiments through the lens of the transport equation
We develop a first-principles formalism, based on the transport equation in the line-of-sight approximation, to link the expected number of muons at neutrino telescopes to the flux of neutrinos at the Earth surface. We compute the distribution of muons inside Earth, arising from the up-scattering of neutrinos close to the detector, as well as from the decay of taus produced farther away. This framework allows one to account for systematic uncertainties, as well as to clarify the assumptions beh…

Rapid mixing for Gibbs states within a logical sector: a dynamical view of self-correcting quantum memories
Thiago Bergamaschi, Reza Gheissari, Yunchao Liu
https://arxiv.org/abs/2507.10976

Rapid mixing for Gibbs states within a logical sector: a dynamical view of self-correcting quantum memories
Self-correcting quantum memories store logical quantum information for exponential time in thermal equilibrium at low temperatures. By definition, these systems are slow mixing. This raises the question of how the memory state, which we refer to as the Gibbs state within a logical sector, is created in the first place. In this paper, we show that for a broad class of self-correcting quantum memories on lattices with parity check redundancies, a quasi-local quantum Gibbs sampler rapidly conver…

BMI und Dobrinth fordern die Einführung eines Sonderregisters wenn Personen ihren Vornamen nach ihren Wünschen im Rahmen des SBGG ändern lassen. Wider den Sonderregistern die wir schon einmal hatten! Hier zeichnen:

Kein Sonderregister für trans* Personen – Nie wieder Listen gegen Minderheiten!
Hallo, ich bin Penelope Alva Frank, Transfrau, queerfeministische Aktivistin und Gründerin der queerfeministischen Bewegung Queermany. Ich weiß, wie es ist, jeden Tag Blicke, Sprüche und Angriffe auszuhalten, nur weil ich trans bin. Ich erlebe Queerfeindlichkeit auf der Straße, online und sogar in meinem Aktivismus wie bei, Polizei Gewahrsam 2023 und ich will mir gar nicht vorstellen, was passiert, wenn falsche Polizisten oder Behördenmitarbeiter Zugriff auf mein früheres Geschlecht...

3D FlowMatch Actor: Unified 3D Policy for Single- and Dual-Arm Manipulation
Nikolaos Gkanatsios, Jiahe Xu, Matthew Bronars, Arsalan Mousavian, Tsung-Wei Ke, Katerina Fragkiadaki
https://arxiv.org/abs/2508.11002

3D FlowMatch Actor: Unified 3D Policy for Single- and Dual-Arm Manipulation
We present 3D FlowMatch Actor (3DFA), a 3D policy architecture for robot manipulation that combines flow matching for trajectory prediction with 3D pretrained visual scene representations for learning from demonstration. 3DFA leverages 3D relative attention between action and visual tokens during action denoising, building on prior work in 3D diffusion-based single-arm policy learning. Through a combination of flow matching and targeted system-level and architectural optimizations, 3DFA achieve…

Skandaaal! 😂
Die hatten keine grünen Kartongs mehr in der Druckerei! 🤷‍♂️
@christianginsig.ch
#RAeTEEII1053

Space Cybersecurity Testbed: Fidelity Framework, Example Implementation, and Characterization
Jose Luis Castanon Remy, Caleb Chang, Ekzhin Ear, Shouhuai Xu
https://arxiv.org/abs/2507.11763

Space Cybersecurity Testbed: Fidelity Framework, Example Implementation, and Characterization
Cyber threats against space infrastructures, including satellites and systems on the ground, have not been adequately understood. Testbeds are important to deepen our understanding and validate space cybersecurity studies. The state of the art is that there are very few studies on building testbeds, and there are few characterizations of testbeds. In this paper, we propose a framework for characterizing the fidelity of space cybersecurity testbeds. The framework includes 7 attributes for charac…

Enhancements in velocity-dependent dark matter annihilation in Galactic subhalos
Odelia V. Hartl, Evan Vienneau, Evan Battaes, Addy J. Evans, Nassim Bozorgnia, Louis E. Strigari
https://arxiv.org/abs/2509.05519

Enhancements in velocity-dependent dark matter annihilation in Galactic subhalos
We examine velocity-dependent dark matter annihilation in subhalos using a sample of six Milky Way-like galaxies from the Aurgia simulation suite. We quantify the enhancement in the annihilation rate in subhalos when including the contribution from particles in the smooth component of the halo that overlap with the subhalos. The enhancement in the annihilation rate scales with the smooth component of the host halo dark matter density, and is evident for subhalos over the resolvable mass range. …

Bend it like Beckham is one of my all time favorite movies. I would watch a sequel in a heartbeat.
The original cast knows it in the works. keira says there should be a sequel in 2018. The OG cast all know it's in the works.
Emma Hayes is somehow involved??

Resilient Time-Sensitive Networking for Industrial IoT: Configuration and Fault-Tolerance Evaluation
Mohamed Seliem, Dirk Pesch, Utz Roedig, Cormac Sreenan
https://arxiv.org/abs/2507.11250

Resilient Time-Sensitive Networking for Industrial IoT: Configuration and Fault-Tolerance Evaluation
Time-Sensitive Networking (TSN) is increasingly adopted in industrial systems to meet strict latency, jitter, and reliability requirements. However, evaluating TSN's fault tolerance under realistic failure conditions remains challenging. This paper presents IN2C, a modular OMNeT++/INET-based simulation framework that models two synchronized production cells connected to centralized infrastructure. IN2C integrates core TSN features, including time synchronization, traffic shaping, per-stream fil…

Famous non-politician People to whom I feel non violent but extremely strong "Ill will".
Feel free to pick as many as you like and add more in the comments.
#polls #illwill #bluesky #trans
J.K. Rowling
Andrew Tate
Jordan Peterson
also J.K. Rowling

Galaxy S25 Edge in Europa offenbar erfolgreicher als Plus-Modelle
Samsungs dünnes Smartphone Galaxy S25 Edge entpuppt sich zwar nicht als Bestseller, jedoch ist es laut Marktforschern erfolgreicher als die Galaxy-Plus-Reihe. 

Reading in a Swedish paper about the harassment of trans migrants by *other migrants* from the same countries.
"It's important they understand that behaviour that was accepted or normalised in their old countries is not allowed in Sweden."
No one is forcing migrants to shop at IKEA or eat smorgasbord. But those who come from patriarchal religious countries have to accept that Sweden has a long tradition of human rights and sexual equality.
Too much to ask in r…

Good riddance to Anita Bryant, who died on December 16, 2024.
Now we just have to wait for the day someone finally pies JK Rowling, she needs a wake-up call before that transphobic, cruel troll kicks the bucket.
Someone’s gotta bring her down a peg for all the hateful nonsense she’s spewed against the trans community.
:heart_trans: Trans Rights Are Human Rights :heart_trans:
#LGBTQIA

Curriculum Multi-Task Self-Supervision Improves Lightweight Architectures for Onboard Satellite Hyperspectral Image Segmentation
Hugo Carlesso, Josiane Mothe, Radu Tudor Ionescu
https://arxiv.org/abs/2509.13229

Curriculum Multi-Task Self-Supervision Improves Lightweight Architectures for Onboard Satellite Hyperspectral Image Segmentation
Hyperspectral imaging (HSI) captures detailed spectral signatures across hundreds of contiguous bands per pixel, being indispensable for remote sensing applications such as land-cover classification, change detection, and environmental monitoring. Due to the high dimensionality of HSI data and the slow rate of data transfer in satellite-based systems, compact and efficient models are required to support onboard processing and minimize the transmission of redundant or low-value data, e.g. cloud-…

Quadratic Embedding Constants of Cartesian Products and Joins of Graphs
Projesh Nath Choudhury, Raju Nandi
https://arxiv.org/abs/2508.10834 https://arxiv.o…

Quadratic Embedding Constants of Cartesian Products and Joins of Graphs
The quadratic embedding constant (QEC) of a finite, simple, connected graph originated from the classical work of Schoenberg [Ann. of Math., 1935] and [Trans. Amer. Math. Soc., 1938] on Euclidean distance geometry. In this article, we study the QEC of graphs in terms of two graph operations: the Cartesian product and the join of graphs. We derive a general formula for the QEC of the join of an arbitrary graph with a regular graph and with a complete multipartite graph. We then provide quadratic…

Court rolls back trans worker's victory citing recent Supreme Court decision in Skrmetti - LGBTQ Nation
https://www.lgbtqnation.com/2025/09/court-rolls-back-trans-workers-victory-citing-recent-supreme-court-decision-in-skrmetti/

Shadow in the Cache: Unveiling and Mitigating Privacy Risks of KV-cache in LLM Inference
Zhifan Luo, Shuo Shao, Su Zhang, Lijing Zhou, Yuke Hu, Chenxu Zhao, Zhihao Liu, Zhan Qin
https://arxiv.org/abs/2508.09442

Shadow in the Cache: Unveiling and Mitigating Privacy Risks of KV-cache in LLM Inference
The Key-Value (KV) cache, which stores intermediate attention computations (Key and Value pairs) to avoid redundant calculations, is a fundamental mechanism for accelerating Large Language Model (LLM) inference. However, this efficiency optimization introduces significant yet underexplored privacy risks. This paper provides the first comprehensive analysis of these vulnerabilities, demonstrating that an attacker can reconstruct sensitive user inputs directly from the KV-cache. We design and imp…

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning
Jacinto Colan, Ana Davila, Yasuhisa Hasegawa
https://arxiv.org/abs/2507.12391

Assessing the Value of Visual Input: A Benchmark of Multimodal Large Language Models for Robotic Path Planning
Large Language Models (LLMs) show potential for enhancing robotic path planning. This paper assesses visual input's utility for multimodal LLMs in such tasks via a comprehensive benchmark. We evaluated 15 multimodal LLMs on generating valid and optimal paths in 2D grid environments, simulating simplified robotic planning, comparing text-only versus text-plus-visual inputs across varying model sizes and grid complexities. Our results indicate moderate success rates on simpler small grids, where …

Precise Measurement of the Absolute Sky Brightness at 60 to 350 MHz
Luke McKay, Ravi Subrahmanyan, Aaron Chippendale, Pietro Bolli, Georgios Kyriakou, Alex Dunning, Ronald Ekers
https://arxiv.org/abs/2509.11846

Precise Measurement of the Absolute Sky Brightness at 60 to 350 MHz
Precise measurement of the sky radio brightness below 1 GHz and estimation of any unaccounted-for extragalactic brightness is required to understand the Galactic cosmic ray electron spectrum, to constrain populations of nanojansky radio sources, and to constrain dark matter annihilation or decay. The foreground radio brightness must also be accurately accounted for when measuring the cosmic background radiation and departures from its Planck spectrum that trace astrophysical processes in the ea…

Beyond conventional vision: RGB-event fusion for robust object detection in dynamic traffic scenarios
Zhanwen Liu, Yujing Sun, Yang Wang, Nan Yang, Shengbo Eben Li, Xiangmo Zhao
https://arxiv.org/abs/2508.10704

Beyond conventional vision: RGB-event fusion for robust object detection in dynamic traffic scenarios
The dynamic range limitation of conventional RGB cameras reduces global contrast and causes loss of high-frequency details such as textures and edges in complex traffic environments (e.g., nighttime driving, tunnels), hindering discriminative feature extraction and degrading frame-based object detection. To address this, we integrate a bio-inspired event camera with an RGB camera to provide high dynamic range information and propose a motion cue fusion network (MCFNet), which achieves optimal s…

Bundesgesundheitsministerin deutet mögliches Aus für Bundes-Klinik-Atlas an
Warken hat ein mögliches Ende des Klinikatlas in Aussicht gestellt. Das berichtet das Ärzteblatt vom Sommerfest der Deutschen Krankenhausgesellschaft.

Marsha P. Johnson has become an icon of gay, trans, and queer liberation,
and yet little is known about her life beyond her participation in the Stonewall Uprising of 1969 and the decades long controversy after her lifeless body was found floating in the Hudson River in 1992.
In "Marsha: The Joy and Defiance of Marsha P. Johnson",
Tourmaline, an award-winning Black trans artist, filmmaker, and activist who has dedicated her life to uplifting Marsha P. Johnson’s l…

What We Can Learn From the Defiant Life and Legacy of Marsha P. Johnson
Black trans artist, filmmaker, and activist Tourmaline discusses her new book about Marsha’s trailblazing life.

Reionization in Protocluster Environments at $z>7$ with JWST/NIRSpec
Qiong Li, Christopher J. Conselice, Duncan Austin, Tom Harvey, Nathan Adams, Vadim Rusakov, Lewi Westcott
https://arxiv.org/abs/2508.08037

Reionization in Protocluster Environments at $z>7$ with JWST/NIRSpec
Understanding the role of high-redshift protoclusters in cosmic reionization is essential to unveiling the early stages of structure formation. Using deep imaging and spectroscopy from the James Webb Space Telescope (JWST) JADES Deep Survey in GOODS-South, we identify two prominent protoclusters at z>7 and investigate their environmental properties in comparison to field galaxies. Protocluster members exhibit systematically higher ionizing photon production efficiency ($ξ_{\text{ion}}$) and in…

First-ever city-funded shelter for trans people experiencing homelessness opens in New York - LGBTQ Nation
https://www.lgbtqnation.com/2025/08/first-ever-city-funded-shelter-for-trans-people-experiencing-homelessness-opens-in-new-york/

Linsen in VR-Brillen: Zwischen Schärfe, Gewicht und optischen Nebenwirkungen
Fresnel, Pancake oder asphärisch: In VR-Brillen steckt viel optisches Know-how, doch die Wahl der richtigen Linse bleibt ein Kompromissgeschäft.

SCOTUS rejects S.C. request to block trans student's restroom use
https://www.lawdork.com/p/scotus-rejects-sc-request-in-trans-restroom-case

GundamQ: Multi-Scale Spatio-Temporal Representation Learning for Robust Robot Path Planning
Yutong Shen, Ruizhe Xia, Bokai Yan, Shunqi zhang, Pengrui Xiang, Sicheng He, Yixin Xu
https://arxiv.org/abs/2509.10305

GundamQ: Multi-Scale Spatio-Temporal Representation Learning for Robust Robot Path Planning
In dynamic and uncertain environments, robotic path planning demands accurate spatiotemporal environment understanding combined with robust decision-making under partial observability. However, current deep reinforcement learning-based path planning methods face two fundamental limitations: (1) insufficient modeling of multi-scale temporal dependencies, resulting in suboptimal adaptability in dynamic scenarios, and (2) inefficient exploration-exploitation balance, leading to degraded path quali…

Starlink kauft Mobilfunkfrequenzen: Direct-to-Cell ohne Partner möglich
Elon Musks SpaceX hat sich in einem 17-Milliarden-Dollar-Deal Frequenzlizenzen von EchoStar gesichert. Starlink soll unabhängiger von Mobilfunkanbietern werden.

iThermTroj: Exploiting Intermittent Thermal Trojans in Multi-Processor System-on-Chips
Mehdi Elahi, Mohamed R. Elshamy, Abdel-Hameed Badawy, Ahmad Patooghy
https://arxiv.org/abs/2507.05576

iThermTroj: Exploiting Intermittent Thermal Trojans in Multi-Processor System-on-Chips
Thermal Trojan attacks present a pressing concern for the security and reliability of System-on-Chips (SoCs), especially in mobile applications. The situation becomes more complicated when such attacks are more evasive and operate sporadically to stay hidden from detection mechanisms. In this paper, we introduce Intermittent Thermal Trojans (iThermTroj) that exploit the chips' thermal information in a random time-triggered manner. According to our experiments, iThermTroj attack can easily bypas…

Etwas mehr der heute besonders häufig geteilten #News:
Forschung ohne Schranken: Mecklenburg-Vorpommern stellt Open-Access-Konzept vor

Appeals court says trans woman teacher must go by he/him pronouns in Ron DeSantis' Florida - LGBTQ Nation
https://www.lgbtqnation.com/2025/07/appeals-court-says-trans-woman-teacher-must-go-by-he-him-pronouns-in-ron-desantis-florida/

Cross-Modality Masked Learning for Survival Prediction in ICI Treated NSCLC Patients
Qilong Xing, Zikai Song, Bingxin Gong, Lian Yang, Junqing Yu, Wei Yang
https://arxiv.org/abs/2507.06994

Cross-Modality Masked Learning for Survival Prediction in ICI Treated NSCLC Patients
Accurate prognosis of non-small cell lung cancer (NSCLC) patients undergoing immunotherapy is essential for personalized treatment planning, enabling informed patient decisions, and improving both treatment outcomes and quality of life. However, the lack of large, relevant datasets and effective multi-modal feature fusion strategies pose significant challenges in this domain. To address these challenges, we present a large-scale dataset and introduce a novel framework for multi-modal feature fu…

Bridging the Gap in Phishing Detection: A Comprehensive Phishing Dataset Collector
Aditya Kulkarni, Shahil Manishbhai Patel, Shivam Pradip Tirmare, Vivek Balachandran, Tamal Das
https://arxiv.org/abs/2509.09592

Bridging the Gap in Phishing Detection: A Comprehensive Phishing Dataset Collector
To combat phishing attacks -- aimed at luring web users to divulge their sensitive information -- various phishing detection approaches have been proposed. As attackers focus on devising new tactics to bypass existing detection solutions, researchers have adapted by integrating machine learning and deep learning into phishing detection. Phishing dataset collection is vital to developing effective phishing detection approaches, which highly depend on the diversity of the gathered datasets. The l…

Towards Safe Imitation Learning via Potential Field-Guided Flow Matching
Haoran Ding, Anqing Duan, Zezhou Sun, Leonel Rozo, No\'emie Jaquier, Dezhen Song, Yoshihiko Nakamura
https://arxiv.org/abs/2508.08707

Towards Safe Imitation Learning via Potential Field-Guided Flow Matching
Deep generative models, particularly diffusion and flow matching models, have recently shown remarkable potential in learning complex policies through imitation learning. However, the safety of generated motions remains overlooked, particularly in complex environments with inherent obstacles. In this work, we address this critical gap by proposing Potential Field-Guided Flow Matching Policy (PF2MP), a novel approach that simultaneously learns task policies and extracts obstacle-related informat…

HHS investigates hospitals treating trans folks in "extreme stretch" of religious protections - LGBTQ Nation
https://www.lgbtqnation.com/2025/07/hhs-investigates-hospitals-treating-trans-folks-in-extreme-stretch-of-religious-protections/

Abnehm-App: Bei "Fastic" konnte unwissentlich auch die Geldbörse erschlanken
Verbraucherschützer leiten rechtliche Schritte gegen die Abnehm-App "Fastic" ein, die Nutzer unter anderem in ein Jahresabo lockte.