Tootfinder

"Les alouettes et d'autres espèces d'oiseaux prospèrent dans les parcs solaires allemands, où le succès de la reproduction dépasse celui de nombreux autres habitats. Ces sites de projets photovoltaïques sont en train de devenir de précieux refuges, profitant Š la fois Š la faune sauvage et Š l'environnement environnant."
#solaire

this is the first IC i reballed successfully (as far as i recall)
rate me?

How to search successfully in Spotlight: GUI tools #Finder

How to search successfully in Spotlight: GUI tools
Using the Spotlight window and Finder’s Find window to locate local files that match your search criteria. Word boundaries and their effect on search results.

A Scalable Exponential Random Graph Model: Amortised Hierarchical Sequential Neural Posterior Estimation with Applications in Neuroscience
Yefeng Fan, Simon Richard White
https://arxiv.org/abs/2506.04558

A Scalable Exponential Random Graph Model: Amortised Hierarchical Sequential Neural Posterior Estimation with Applications in Neuroscience
Exponential Random Graph Models (ERGMs) are an inferential model for analysing statistical networks. Recent development in ERGMs uses hierarchical Bayesian setup to jointly model a group of networks, which is called a multiple-network Exponential Random Graph Model (MN-ERGMs). MN-ERGM has been successfully applied on real-world resting-state fMRI data from the Cam-CAN project to infer the brain connectivity on aging. However, conventional Bayesian ERGM estimation approach is computationally int…

This https://arxiv.org/abs/2411.14608 has been replaced.
initial toot: https://mastoxiv.page/@a…

Toward machine learning interatomic potentials for modeling uranium mononitride
Uranium mononitride (UN) is a promising accident-tolerant fuel because of its high fissile density and high thermal conductivity. In this study, we developed the first machine learning interatomic potentials for reliable atomic-scale modeling of UN at finite temperatures. We constructed a training set using density functional theory (DFT) calculations that was enriched through an active learning procedure, and two neural network potentials were generated. Both potentials successfully reproduce …

Rigorous theory of coupled resonators
E. A. Muljarov
https://arxiv.org/abs/2506.04413 https://arxiv.org/pdf/2506.04413

Rigorous theory of coupled resonators
We demonstrate the general failure of the famous concept of tight binding and mode hybridization underlying modern theories of coupled open resonators. In spite of sophisticated examples in the literature, successfully illustrating these theories, the latter fail to describe any planar systems. This includes the simplest possible case of two dielectric slabs placed next to each other or separated by a distance, which is straightforward for verification, due to its analytical solvability. We pre…

"This breakthrough enables each pixel of an OLED display to simultaneously emit different sounds, essentially allowing the display to function as a multichannel speaker array"
https://www.sciencedaily.com/releases/2025/05/250521125055.htm

#news #science

📣 Another great milestone for the #GÉANT project!
The GN5-1 project has successfully completed its final review by the European Commission—recognising strong performance, technical achievements, and commitment to innovation and sustainability, all aligned with the Horizon Europe programme’s goals.
👏 A big thank you to all contributors involved. Your dedication continues to drive our …

GÉANT’s GN5-1 Project completes another successful EC Review | GÉANT CONNECT Online
GÉANT’s GN5-1 project has successfully completed the Period 2 review by the European Commission (EC), marking another key milestone in the project’s continued delivery of cutting-edge networking and collaboration services to Europe’s research and education community. The review, which took place at the end of March 2025, covered the second reporting period of the project.

This https://arxiv.org/abs/2505.07802 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Improving Trajectory Stitching with Flow Models
Generative models have shown great promise as trajectory planners, given their affinity to modeling complex distributions and guidable inference process. Previous works have successfully applied these in the context of robotic manipulation but perform poorly when the required solution does not exist as a complete trajectory within the training set. We identify that this is a result of being unable to plan via stitching, and subsequently address the architectural and dataset choices needed to re…

Test of conformal gravity as an alternative to dark matter from the observations of elliptical galaxies
Li-Xue Yue, Da-Ming Chen
https://arxiv.org/abs/2506.03955

Test of conformal gravity as an alternative to dark matter from the observations of elliptical galaxies
As an alternative gravitational theory to General Relativity (GR), the Conformal Gravity (CG) has recently been successfully verified by observations of Type Ia supernovae (SN Ia) and the rotation curves of spiral galaxies. The observations of galaxies only pertain to the non-relativistic form of gravity. In this context, within the framework of the Newtonian theory of gravity (the non-relativistic form of GR), dark matter is postulated to account for the observations. On the other hand, the no…

This https://arxiv.org/abs/2506.01993 has been replaced.
initial toot: https://mastoxiv.page/@ar…

A refinement of the Lorentz local field expression with impact on the Clausius-Mossotti and Lorentz-Lorenz models
In the 19th century Mossotti and Clausius formulated an expression that relates electrical permittivity of a dielectric to the product of molecular polarizability and number density. Lorenz and Lorentz extended the use of that expression to also cover the dielectric s refractive index. These expressions successfully predict the change of the dielectric s permittivity and refractive index as a function of a wide range of its number density, using the consideration that molecular polarizability s…

NepTrain and NepTrainKit: Automated Active Learning and Visualization Toolkit for Neuroevolution Potentials
Chengbing Chen, Yutong Li, Rui Zhao, Zhoulin Liu, Zheyong Fan, Gang Tang, Zhiyong Wang
https://arxiv.org/abs/2506.01868

NepTrain and NepTrainKit: Automated Active Learning and Visualization Toolkit for Neuroevolution Potentials
As a machine-learned potential, the neuroevolution potential (NEP) method features exceptional computational efficiency and has been successfully applied in materials science. Constructing high-quality training datasets is crucial for developing accurate NEP models. However, the preparation and screening of NEP training datasets remain a bottleneck for broader applications due to their time-consuming, labor-intensive, and resource-intensive nature. In this work, we have developed NepTrain and N…

It looks like the RK3566 still uses the same DRAM controller as previous SoCs, but the PHY differs.
I could successfully apply a few things I read in U-Boot.

This https://arxiv.org/abs/2501.18626 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

The TIP of the Iceberg: Revealing a Hidden Class of Task-in-Prompt Adversarial Attacks on LLMs
We present a novel class of jailbreak adversarial attacks on LLMs, termed Task-in-Prompt (TIP) attacks. Our approach embeds sequence-to-sequence tasks (e.g., cipher decoding, riddles, code execution) into the model's prompt to indirectly generate prohibited inputs. To systematically assess the effectiveness of these attacks, we introduce the PHRYGE benchmark. We demonstrate that our techniques successfully circumvent safeguards in six state-of-the-art language models, including GPT-4o and LLaMA…

Modelling the Effects of Hearing Loss on Neural Coding in the Auditory Midbrain with Variational Conditioning
Lloyd Pellatt, Fotios Drakopoulos, Shievanie Sabesan, Nicholas A. Lesica
https://arxiv.org/abs/2506.03088

Modelling the Effects of Hearing Loss on Neural Coding in the Auditory Midbrain with Variational Conditioning
The mapping from sound to neural activity that underlies hearing is highly non-linear. The first few stages of this mapping in the cochlea have been modelled successfully, with biophysical models built by hand and, more recently, with DNN models trained on datasets simulated by biophysical models. Modelling the auditory brain has been a challenge because central auditory processing is too complex for models to be built by hand, and datasets for training DNN models directly have not been availab…

A generalized sphere theorem and its applications
Jing Mao
https://arxiv.org/abs/2506.01251 https://arxiv.org/pdf/2506.01251

A generalized sphere theorem and its applications
In this paper, we successfully set up a generalized sphere theorem for compact Riemannian manifolds with radial Ricci curvature bounded.

Distinguishing Fact from Fiction: Student Traits, Attitudes, and AI Hallucination Detection in Business School Assessment
Canh Thien Dang, An Nguyen
https://arxiv.org/abs/2506.00050

Distinguishing Fact from Fiction: Student Traits, Attitudes, and AI Hallucination Detection in Business School Assessment
As artificial intelligence (AI) becomes integral to the society, the ability to critically evaluate AI-generated content is increasingly vital. On the context of management education, we examine how academic skills, cognitive traits, and AI scepticism influence students' ability to detect factually incorrect AI-generated responses (hallucinations) in a high-stakes assessment at a UK business school (n=211, Year 2 economics and management students). We find that only 20% successfully identified …

Ontario NDP, Liberals successfully stall Bill 5 after filibustering until midnight Thursday | CBC News
Bill 5 would create so-called "special economic zones" where the government can exempt companies or projects from complying with provincial laws or regulations. It would also replace the province's endangered species act, replacing it with an new law that critics say waters down protections.
https://www.cbc.ca/news/canada/toronto/ontario-ndp-liberals-stall-bill-5-after-filibuster-1.7546691

"They ran the bare job titles through GPT, without looking at the details of the specific jobs, and got the chatbot to guess what those titles would have meant. Then they decided the chatbot could do most of the jobs. They were, after all, using the chatbot to do their job."
Rule: your job can successfully be taken over by a chatbot if it comes with no accountability.

This https://arxiv.org/abs/2408.10370 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Convergence analysis of Levenberg-Marquardt method with Singular Scaling for nonzero residue nonlinear least-squares problems
Recently, a Levenberg-Marquardt method with Singular Scaling matrix, called LMMSS, was proposed and successfully applied in parameter estimation in heat conduction problems, where the choice of suitable singular scaling matrix resulted in better quality approximate solutions than those of the classical Levenberg-Marquardt. In this paper, we study convergence properties of LMMSS when applied to nonzero residual nonlinear least-squares problems. We show that the local convergence of the iterates …

Sometimes I create really really really useful plugins for #NeosCMS.
I present: Norman Nodly, the super amazing AI assistant
He watches what you do, and gives you super motivational messages when you get feedback from the Neos backend, like when you publish successfully. He also understands more than 2 inquiries!

This https://arxiv.org/abs/2503.06727 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepe…

Machine Learning for Single-Ended Event Reconstruction in PROSPECT Experiment
The Precision Reactor Oscillation and Spectrum Experiment, PROSPECT, was a segmented antineutrino detector that successfully operated at the High Flux Isotope Reactor in Oak Ridge, TN, during its 2018 run. Despite challenges with photomultiplier tube base failures affecting some segments, innovative machine learning approaches were employed to perform position and energy reconstruction, and particle classification. This work highlights the effectiveness of convolutional neural networks and grap…

#Homeassistant adventures continue.. Have a little raspberry pi microcontroller thing with an IR transmitter. Have successfully made it turn on our projector. Now just need to get that such that I can make it happen from the dashboard :)

This https://arxiv.org/abs/2402.08161 has been replaced.
initial toot: https://mastoxiv.page/@ar…

The Monte Carlo Computational Summit -- October 25 & 26, 2023 -- Notre Dame, Indiana, USA
The Monte Carlo Computational Summit was held on the campus of the University of Notre Dame in South Bend, Indiana, USA on 25--26 October 2023. The goals of the summit were to discuss algorithmic and software alterations required for successfully porting respective code bases to exascale-class computing hardware, compare software engineering techniques used by various code teams, and consider the adoption of industry-standard benchmark problems to better facilitate code-to-code performance comp…

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks
Yi Yang, Jiaxuan Sun, Siqi Kou, Yihan Wang, Zhijie Deng
https://arxiv.org/abs/2506.00411

LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks
Real-world embodied agents face long-horizon tasks, characterized by high-level goals demanding multi-step solutions beyond single actions. Successfully navigating these requires both high-level task planning (i.e., decomposing goals into sub-tasks) and low-level motion control (i.e., generating precise robot actions). While existing vision language action (VLA) models and hierarchical architectures offer potential in embodied tasks, the former often falter in planning, and the latter can suffe…

Superconducting gaps revealed by STM measurements on La2PrNi2O7 thin films at ambient pressure
Shengtai Fan, Mengjun Ou, Marius Scholten, Qing Li, Zhiyuan Shang, Yi Wang, Jiasen Xu, Huan Yang, Ilya M. Eremin, Hai-Hu Wen
https://arxiv.org/abs/2506.01788

Superconducting gaps revealed by STM measurements on La2PrNi2O7 thin films at ambient pressure
The recent discovery of superconductivity in nickelate systems has generated tremendous interests in the field of superconductivity. The superconducting transition temperature above 80 K in La3Ni2O7 under pressure and the coexisting spin excitations certainly categorize the nickelate superconductors as unconventional. The core issue to understand the superconductivity mechanism is about the superconducting gap and its symmetry. By using the substrate of SrLaAlO4(00l), we have successfully synth…

Is there anyone who has configured their online store on BigCartel and successfully used it for selling things online?
I have some highly specific questions but I’d love to talk to someone who has working experience with the platform rather than scream at the void.
Boosts appreciated.
No idea what hashtags to use.

3DGEER: Exact and Efficient Volumetric Rendering with 3D Gaussians
Zixun Huang, Cho-Ying Wu, Yuliang Guo, Xinyu Huang, Liu Ren
https://arxiv.org/abs/2505.24053

3DGEER: Exact and Efficient Volumetric Rendering with 3D Gaussians
3D Gaussian Splatting (3DGS) marks a significant milestone in balancing the quality and efficiency of differentiable rendering. However, its high efficiency stems from an approximation of projecting 3D Gaussians onto the image plane as 2D Gaussians, which inherently limits rendering quality--particularly under large Field-of-View (FoV) camera inputs. While several recent works have extended 3DGS to mitigate these approximation errors, none have successfully achieved both exactness and high effi…

Collaborative On-Sensor Array Cameras
Jipeng Sun, Kaixuan Wei, Thomas Eboli, Congli Wang, Cheng Zheng, Zhihao Zhou, Arka Majumdar, Wolfgang Heidrich, Felix Heide
https://arxiv.org/abs/2506.04061

Collaborative On-Sensor Array Cameras
Modern nanofabrication techniques have enabled us to manipulate the wavefront of light with sub-wavelength-scale structures, offering the potential to replace bulky refractive surfaces in conventional optics with ultrathin metasurfaces. In theory, arrays of nanoposts provide unprecedented control over manipulating the wavefront in terms of phase, polarization, and amplitude at the nanometer resolution. A line of recent work successfully investigates flat computational cameras that replace compo…

PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches
Dennis Jacob, Chong Xiang, Prateek Mittal
https://arxiv.org/abs/2505.24703

PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches
Deep learning techniques have enabled vast improvements in computer vision technologies. Nevertheless, these models are vulnerable to adversarial patch attacks which catastrophically impair performance. The physically realizable nature of these attacks calls for certifiable defenses, which feature provable guarantees on robustness. While certifiable defenses have been successfully applied to single-label classification, limited work has been done for multi-label classification. In this work, we…

On the regularization property of Levenberg-Marquardt method with Singular Scaling for nonlinear inverse problems
Rafaela Filippozzi, Everton Boos, Douglas S. Gon\c{c}alves, Fermin S. V. Baz\'an
https://arxiv.org/abs/2506.00190

On the regularization property of Levenberg-Marquardt method with Singular Scaling for nonlinear inverse problems
Recently, in Applied Mathematics and Computation 474 (2024) 128688, a Levenberg-Marquardt method (LMM) with Singular Scaling was analyzed and successfully applied in parameter estimation problems in heat conduction where the use of a particular singular scaling matrix (semi-norm regularizer) provided approximate solutions of better quality than those of the classic LMM. Here we propose a regularization framework for the Levenberg-Marquardt method with Singular Scaling (LMMSS) applied to nonline…

The origin of the metallicity difference between star-forming and passive galaxies: Insights from {\nu}2GC semi-analytic model
Qiansheng Liu, Takashi Okamoto, Taira Oogi, Masahiro Nagashima
https://arxiv.org/abs/2506.00378

The origin of the metallicity difference between star-forming and passive galaxies: Insights from ν2GC semi-analytic model
We investigate the origin of the observed metallicity difference between star-forming and passive galaxies using the semi-analytic galaxy formation model nu2GC. Our fiducial model successfully reproduces the observed metallicity differences in local galaxies while simultaneously matching the potential-metallicity relations of both star-forming and passive galaxies. By varying the star formation efficiency, we identify strangulation as the primary driver of the metallicity difference. This findi…

Oh no, hope he's not ill! 😕
After successfully convincing warmongering dictator #Zelenskyy to finally agree to the #russia‎n republic's long-proposed peace negotiations and generously inviting him to Tsargrad, our beloved president, the humble vladimir

PB&J: Peanut Butter and Joints for Damped Articulation
Avery S. Williamson, Michael J. Bennington, Ravesh Sukhnandan, Mrinali Nakhre, Yuemin Mao, Victoria A. Webster-Wood
https://arxiv.org/abs/2505.24860

PB&J: Peanut Butter and Joints for Damped Articulation
Many bioinspired robots mimic the rigid articulated joint structure of the human hand for grasping tasks, but experience high-frequency mechanical perturbations that can destabilize the system and negatively affect precision without a high-frequency controller. Despite having bandwidth-limited controllers that experience time delays between sensing and actuation, biological systems can respond successfully to and mitigate these high-frequency perturbations. Human joints include damping and stif…

thankful for the rain today!! Only took a few days for the new grass/clover/flower mix to sprout!!
🌱 🌱 🌱
Going to get hot this week so I am very glad it has begun successfully now.
#driveway #yardwork #diy #portalberni

A refinement of the Lorentz local field expression with impact on the Clausius-Mossotti and Lorentz-Lorenz models
Jeroen van Duivenbode, Anne-Jans Faber
https://arxiv.org/abs/2506.01993

A refinement of the Lorentz local field expression with impact on the Clausius-Mossotti and Lorentz-Lorenz models
In the 19th century Mossotti and Clausius formulated an expression that relates electrical permittivity of a dielectric to the product of molecular polarizability and number density. Lorenz and Lorentz extended the use of that expression to also cover the dielectric s refractive index. These expressions successfully predict the change of the dielectric s permittivity and refractive index as a function of a wide range of its number density, using the consideration that molecular polarizability s…

Kyle Liu is the Head of Engineering at Mercari, a second-hand e-commerce marketplace based in Japan. His team has been using Elastic Search for retrieval and DNN Learning to Rank for ranking for a long time. At #bbuzz, he will discuss how they re-architected their search system in response to developments in deep learning and LLM, and how they successfully convinced internal stakeholders to adopt new…

This https://arxiv.org/abs/2502.04053 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepe…

Proof of principle for a light dark matter search with low-energy positron beams at NA64
Thermal light dark matter (LDM) with particle masses in the 1 MeV - 1 GeV range could successfully explain the observed dark matter abundance as a relic from the primordial Universe. In this picture, a new feeble interaction acts as a "portal" between the Standard Model and LDM particles, allowing for the exploration of this paradigm at accelerator experiments. In the last years, the "missing energy" experiment NA64e at CERN SPS (Super Proton Synchrotron) has set world-leading constraints in th…

I have successfully restored another old B2B site! Check it out: http://bluepixelcomputing.com:8141/b2brec/www.chinesetoys.com/index.html

A novel model class for bowtie biological networks with universal classification properties
Charles A. Johnson (Daniel), Keon Ho (Daniel), Park, Enoch Yeung
https://arxiv.org/abs/2505.13703

A novel model class for bowtie biological networks with universal classification properties
Cell sensory transcription networks are the intracellular computation structure that regulates and drives cellular activity. Activity in these networks determines the the cell's ability to adapt to changes in its environment. Resilient cells successfully identify (classify) and appropriately respond to environmental shifts. We present a model for identification and response to environmental changes in resilient bacteria. This model combines two known motifs in transcription networks: dense over…