Tootfinder

Anti-Electron Neutrinos at High-Energy Neutrino Experiments: Identification Strategies and Physics Potential
Felix Kling, Toni M\"akel\"a, Josh McFayden
https://arxiv.org/abs/2507.00262

Anti-Electron Neutrinos at High-Energy Neutrino Experiments: Identification Strategies and Physics Potential
Most existing and proposed high energy neutrino experiments have excellent muon charge identification capabilities, enabling the distinction of $ν_μ$ and $\bar ν_μ$ charged current interactions. In contrast, distinguishing electrons and positrons from $ν_e$ and $\bar ν_e$ interactions is typically impossible, as they quickly interact within the characteristically dense detector material and fail to reach the spectrometer. In this letter, we propose a compact and cost-effective plastic tar…

Certifying semi-device-independent security via wave-particle duality experiments
Chithra Raj, Tushita Prasad, Anubhav Chaturvedi, Lucas Pollyceno, Daniel Spegel-Lexne, Santiago G\'omez, Joakim Argillander, Alvaro Alarc\'on, Guilherme B. Xavier, Marcin Paw{\l}owski, Pedro R. Dieguez
https://arxiv.org/abs/2507.00679

Certifying semi-device-independent security via wave-particle duality experiments
Wave-particle duality is known to be equivalent to an entropic uncertainty relation based on the min- and max-entropies, which have a clear operational meaning in quantum cryptography. Here, we derive a connection between wave-particle relations and the semi-device-independent (SDI) security framework. In particular, we express an SDI witness entirely in terms of two complementary interferometric quantities: visibility and input distinguishability. Applying a symmetry condition to the interfero…

celegans_interactomes: C. elegans interactomes (2009)
Ten networks of protein-protein interactions in Caenorhabditis elegans (nematode), from yeast two-hybrid experiments, biological process maps, literature curation, orthologous interactions, and genetic interactions. The WI8 network combines WI2004, WI2007 and BPmaps, while the Integrated Network combines data from all sources.
This network has 1237 nodes and 1735 edges.
Tags: Biological, Protein interactions, Unweighted

Generalizing causal effects with noncompliance: Application to deep canvassing experiments
Zhongren Chen, Melody Huang
https://arxiv.org/abs/2506.00149 htt…

Generalizing causal effects with noncompliance: Application to deep canvassing experiments
Standard approaches in generalizability often focus on generalizing the intent-to-treat (ITT). However, in practice, a more policy-relevant quantity is the generalized impact of an intervention across compliers. While instrumental variable (IV) methods are commonly used to estimate the complier average causal effect (CACE) within samples, standard approaches cannot be applied to a target population with a different distribution from the study sample. This paper makes several key contributions. …

Bra och underhållande text kring begreppen statistisk signifikans och konfidensintervall.
How a Cup of Tea Laid the Foundations for Modern Statistical Analysis https://www.wired.com/story/how-a-cup-of-t…

How a Cup of Tea Laid the Foundations for Modern Statistical Analysis
Scientific experiments run today are based on research practices that evolved out of a British tea-tasting experiment in the 1920s.

Ciekawy post: Dave Farquhar, History of #overclocking
https://dfarq.homeip.net/history-of-overclocking/
Cytat na temat procesorów

Here's a more positive challenge for the "AI scientists": reproduce a paper. From the PDF alone, implement and re-run the experiments as written, filling in the gaps as necessary and get the same results.
That's a lot more meaningful than passing peer review and it would actually be quite useful to automate. It could become a required check on any accepted paper.

Explaining Sustained Blockchain Decentralization with Quasi-Experiments: Resource Flexibility of Consensus Mechanisms
Harang Ju, Madhav Kumar, Ehsan Valavi, Sinan Aral
https://arxiv.org/abs/2505.24663

Explaining Sustained Blockchain Decentralization with Quasi-Experiments: Resource Flexibility of Consensus Mechanisms
Decentralization is a fundamental design element of the Web3 economy. Blockchains and distributed consensus mechanisms are touted as fault-tolerant, attack-resistant, and collusion-proof because they are decentralized. Recent analyses, however, find some blockchains are decentralized, others are centralized, and that there are trends towards both centralization and decentralization in the blockchain economy. Despite the importance and variability of decentralization across blockchains, we still…

Face to face with solar telescopes, meteorites and exoplanets: For the 6th Night of Science on June 21st 2025 in Göttingen, the MPI for Solar System Research is offering a full program of hands-on activities, lectures, guided tours, and unique exhibits.
Infos by MPS: https://www.mps.mpg.de/night-of-science-20

A Start To End Machine Learning Approach To Maximize Scientific Throughput From The LCLS-II-HE
Aashwin Mishra, Matt Seaberg, Ryan Roussel, Fred Poitevin, Jana Thayer, Daniel Ratner, Auralee Edelen, Apurva Mehta
https://arxiv.org/abs/2505.23858

A Start To End Machine Learning Approach To Maximize Scientific Throughput From The LCLS-II-HE
With the increasing brightness of Light sources, including the Diffraction-Limited brightness upgrade of APS and the high-repetition-rate upgrade of LCLS, the proposed experiments therein are becoming increasingly complex. For instance, experiments at LCLS-II-HE will require the X-ray beam to be within a fraction of a micron in diameter, with pointing stability of a few nanoradians, at the end of a kilometer-long electron accelerator, a hundred-meter-long undulator section, and tens of meters l…

Learning robust parameter inference and density reconstruction in flyer plate impact experiments
Evan Bell, Daniel A. Serino, Ben S. Southworth, Trevor Wilcox, Marc L. Klasky
https://arxiv.org/abs/2506.23914

Learning robust parameter inference and density reconstruction in flyer plate impact experiments
Estimating physical parameters or material properties from experimental observations is a common objective in many areas of physics and material science. In many experiments, especially in shock physics, radiography is the primary means of observing the system of interest. However, radiography does not provide direct access to key state variables, such as density, which prevents the application of traditional parameter estimation approaches. Here we focus on flyer plate impact experiments on po…

iRonCub 3: The Jet-Powered Flying Humanoid Robot
Davide Gorbani, Hosameldin Awadalla Omer Mohamed, Giuseppe L'Erario, Gabriele Nava, Punith Reddy Vanteddu, Shabarish Purushothaman Pillai, Antonello Paolino, Fabio Bergonti, Saverio Taliani, Alessandro Croci, Nicholas James Tremaroli, Silvio Traversaro, Bruno Vittorio Trombetta, Daniele Pucci
https…

iRonCub 3: The Jet-Powered Flying Humanoid Robot
This article presents iRonCub 3, a jet-powered humanoid robot, and its first flight experiments. Unlike traditional aerial vehicles, iRonCub 3 aims to achieve flight using a full-body humanoid form, which poses unique challenges in control, estimation, and system integration. We highlight the robot's current mechanical and software architecture, including its propulsion system, control framework, and experimental infrastructure. The control and estimation framework is first validated in simulat…

Design-Based and Network Sampling-Based Uncertainties in Network Experiments
Kensuke Sakamoto, Yuya Shimizu
https://arxiv.org/abs/2506.22989 https://

Design-Based and Network Sampling-Based Uncertainties in Network Experiments
OLS estimators are widely used in network experiments to estimate spillover effects via regressions on exposure mappings that summarize treatment and network structure. We study the causal interpretation and inference of such OLS estimators when both design-based uncertainty in treatment assignment and sampling-based uncertainty in network links are present. We show that correlations among elements of the exposure mapping can contaminate the OLS estimand, preventing it from aggregating heteroge…

Generative AI and the future of scientometrics: current topics and future questions
Benedetto Lepori, Jens Peter Andersen, Karsten Donnay
https://arxiv.org/abs/2507.00783

Generative AI and the future of scientometrics: current topics and future questions
The aim of this paper is to review the use of GenAI in scientometrics, and to begin a debate on the broader implications for the field. First, we provide an introduction on GenAI's generative and probabilistic nature as rooted in distributional linguistics. And we relate this to the debate on the extent to which GenAI might be able to mimic human 'reasoning'. Second, we leverage this distinction for a critical engagement with recent experiments using GenAI in scientometrics, including topic lab…

Epitome: Pioneering an Experimental Platform for AI-Social Science Integration
Jingjing Qu, Kejia Hu, Jun Zhu, Wenhao Li, Teng Wang, Zhiyun Chen, Yulei Ye, Chaochao Lu, Aimin Zhou, Xiangfeng Wang, James Evan
https://arxiv.org/abs/2507.01061

Epitome: Pioneering an Experimental Platform for AI-Social Science Integration
The integration of Large Language Models (LLMs) into social science experiments represents a transformative approach to understanding human-AI interactions and their societal impacts. We introduce Epitome, the world's first open experimental platform dedicated to the deep integration of artificial intelligence and social science. Rooted in theoretical foundations from management, communication studies, sociology, psychology, and ethics, Epitome focuses on the interactive impacts of AI on indivi…

Earth-Scattering Induced Modulation in Low-Threshold Dark Matter Experiments
Xavier Bertou, Ansh Desai, Timon Emken, Rouven Essig, Tomer Volansky, Tien-Tien Yu
https://arxiv.org/abs/2507.00344

Earth-Scattering Induced Modulation in Low-Threshold Dark Matter Experiments
Dark matter particles with sufficiently large interactions with ordinary matter can scatter in the Earth before reaching and scattering in a detector. This induces a modulation in the signal rate with a period of one sidereal day. We calculate this modulation for sub-GeV dark matter particles that interact either with a heavy or an ultralight dark-photon mediator and investigate the resulting signal in low-threshold detectors consisting of silicon, xenon, or argon targets. The scattering in the…

Automatic Phase Calibration for High-resolution mmWave Sensing via Ambient Radio Anchors
Ruixu Geng, Yadong Li, Dongheng Zhang, Pengcheng Huang, Binquan Wang, Binbin Zhang, Zhi Lu, Yang Hu, Yan Chen
https://arxiv.org/abs/2506.23472

Automatic Phase Calibration for High-resolution mmWave Sensing via Ambient Radio Anchors
Millimeter-wave (mmWave) radar systems with large array have pushed radar sensing into a new era, thanks to their high angular resolution. However, our long-term experiments indicate that array elements exhibit phase drift over time and require periodic phase calibration to maintain high-resolution, creating an obstacle for practical high-resolution mmWave sensing. Unfortunately, existing calibration methods are inadequate for periodic recalibration, either because they rely on artificial refer…

Signature of Pressure Gradient History on Wall Shear Stress in Turbulent Boundary Layers
Marco Mattei, Theresa Saxton-Fox
https://arxiv.org/abs/2507.01244 …

Signature of Pressure Gradient History on Wall Shear Stress in Turbulent Boundary Layers
Our experiments evaluate the presence of history effects on wall shear stress in turbulent boundary layers (TBLs) subjected to five sequences of favorable and adverse pressure gradients (FAPGs) of increasing strength. Steady but spatially varying FAPGs are imposed on a flat plate using a deformable convex false ceiling. An array of three one-dimensional capacitive probes, positioned in the adverse pressure gradient (APG) region downstream of the favorable pressure gradient (FPG), enables direct…

Eu recebi uma newsletter da Stack Overflow com o título de "experiments in community". Eu li "experiments in communism" 🤡. Isso que dš eu frequentar uma rede cheia de comunistas safados como vocês aí! rs

Empirical Validation of the Independent Chip Model
Juho Kim
https://arxiv.org/abs/2506.00180 https://arxiv.org/pdf/2506.00180

Empirical Validation of the Independent Chip Model
The independent chip model (ICM) forms a cornerstone of all modern poker tournament strategy. However, despite its prominence, the ICM's performance in the real world has not been sufficiently scrutinized, especially at a large scale. In this paper, we introduce our new dataset of poker tournaments, consisting of results of over ten thousand events. Then, using this dataset, we perform two experiments as part of a large-scale empirical validation of the ICM. First, we verify that the ICM perfor…

Low-temperature anomalies in 1D hard rods with soft attractive nearest-neighbor interactions
Igor Trav\v{e}nec, Ladislav \v{S}amaj
https://arxiv.org/abs/2507.01568

Low-temperature anomalies in 1D hard rods with soft attractive nearest-neighbor interactions
Previous experiments and numerical simulations have revealed that a limited number of two- and three-dimensional particle systems contract in volume upon heating isobarically. This anomalous phenomenon is known as negative thermal expansion (NTE). Recently, in a study by [I. Travěnec and L. Šamaj: J. Phys. A: Math. Theor. {\bf 58}, 195005 (2025)], exactly solvable one-dimensional fluids of hard rods with various types of soft purely repulsive nearest-neighbor interactions were examined at low…

ForLion: An R Package for Finding Optimal Experimental Designs with Mixed Factors
Siting Lin, Yifei Huang, Jie Yang
https://arxiv.org/abs/2507.00923 https:…

ForLion: An R Package for Finding Optimal Experimental Designs with Mixed Factors
Optimal design is crucial for experimenters to maximize the information collected from experiments and estimate the model parameters most accurately. ForLion algorithms have been proposed to find D-optimal designs for experiments with mixed types of factors. In this paper, we introduce the ForLion package which implements the ForLion algorithm to construct locally D-optimal designs and the EW ForLion algorithm to generate robust EW D-optimal designs. The package supports experiments under linea…

Creep failure in heterogeneous materials from the barrier landscape
Juan Carlos Verano-Espitia, Tero M\"akinen, Mikko J. Alava, J\'er\^ome Weiss
https://arxiv.org/abs/2507.00661

Creep failure in heterogeneous materials from the barrier landscape
Stressed under a constant load, materials creep with a final acceleration of deformation and for any given applied stress and material, the creep failure time can strongly vary. We investigate creep on sheets of paper and confront the statistics with a simple fiber bundle model of creep failure in a disordered landscape. In the experiments, acoustic emission event times $t_j$ were recorded, and both this data and simulation event series reveal sample-dependent history effects with log-normal st…

Hydrogen defects and band alignment in metal-organic frameworks
Khang Hoang
https://arxiv.org/abs/2505.24570 https://arxiv.org/pdf/25…

Hydrogen defects and band alignment in metal-organic frameworks
Band alignment, namely the prediction of band-edge positions of semiconductors and insulators in aqueous solutions, is an important problem in physics and chemistry. Such a prediction is especially challenging for complex materials. Here we present an approach to align band structure of metal-organic frameworks (MOFs) on an absolute energy scale which can be used for direct comparison with experiments. Hydrogen defects are used as probes into the chemical bonding of the covalently bonded hybrid…

Iola Walker: A Mobile Footfall Detection System for Music Composition
Will James
https://arxiv.org/abs/2506.01211 https://arxiv.org/p…

Iola Walker: A Mobile Footfall Detection System for Music Composition
This project is the first of several experiments composing music that changes in response to biosignals. The system is dubbed "iola walker" in reference to a common polyrhythm, the hemiola. A listener goes for a walk, and the Iola Walker app detects their walking pace. Iola Walker picks up footfalls using a foot-mounted accelerometer, processing the signals in real time using a recurrent neural network in an Android app. The Android app outputs a MIDI event for each footfall. The iola walker pl…

This https://arxiv.org/abs/2502.14473 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

PROTOCALC, A W-band polarized calibrator for CMB Telescopes: application to Simons Observatory and CLASS
Current- and next-generation Cosmic Microwave Background (CMB) experiments will measure polarization anisotropies with unprecedented sensitivities. The need for high precision in these measurements underscores the importance of gaining a comprehensive understanding of instrument properties, with a particular emphasis on the study of the beam properties and, in particular, their polarization characteristics, and the measurement of the polarization angle. In this context, a major challenge lies i…

FDTD with Auxiliary Bath Fields for Condensed-Phase Polaritonics: Fundamentals and Implementation
Tao E. Li
https://arxiv.org/abs/2505.23963 https://

FDTD with Auxiliary Bath Fields for Condensed-Phase Polaritonics: Fundamentals and Implementation
Understanding condensed-phase polariton experiments requires accurately accounting for both realistic cavity geometries and the interplay between polaritons and material dark modes arising from microscopic molecular interactions. The finite-difference time-domain (FDTD) approach numerically propagates classical Maxwell's equations in the time domain, offering a versatile scheme for modeling polaritons in realistic cavities. However, the simple dielectric functions routinely used in FDTD often f…

Sparse grids vs. random points for high-dimensional polynomial approximation
Jakob Eggl, Elias Mindlberger, Mario Ullrich
https://arxiv.org/abs/2506.24054 …

Sparse grids vs. random points for high-dimensional polynomial approximation
We study polynomial approximation on a $d$-cube, where $d$ is large, and compare interpolation on sparse grids, aka Smolyak's algorithm (SA), with a simple least squares method based on randomly generated points (LS) using standard benchmark functions. Our main motivation is the influential paper [Barthelmann, Novak, Ritter: High dimensional polynomial interpolation on sparse grids, Adv. Comput. Math. 12, 2000]. We repeat and extend their theoretical analysis and numerical experiments for SA an…

Evaluation of "As-Intended" Vehicle Dynamics using the Active Inference Framework
Kazuharu Kidera, Takuma Miyaguchi, Hideyoshi Yanagisawa
https://arxiv.org/abs/2506.00035

Evaluation of "As-Intended" Vehicle Dynamics using the Active Inference Framework
We constructed a computational model of the driver's brain for steering tasks using the active inference framework, grounded in the free energy principle - a theory from computational neuroscience. This model enables quantitative estimation of how accurately the brain learns vehicle dynamics and performs appropriate steering, using a measure called variational free energy. Through driving simulator experiments, we observed strong correlations between variational free energy and both expert driv…

Dark photon dark matter constraints and a tentative signal at the TASEH experiment
Yuan-Hann Chang, Cheng-Wei Chiang, Hien Thi Doan, Nick Houston, Jinmian Li, Tianjun Li, Lina Wu, Xin Zhang
https://arxiv.org/abs/2507.00784

Dark photon dark matter constraints and a tentative signal at the TASEH experiment
The dark photon is a well motivated candidate for the dark matter which comprises most of the mass of our visible Universe, leading to worldwide experimental and observational efforts towards its discovery. A primary tool in this search is the cavity haloscope, which facilitates resonantly enhanced conversion to photons from both dark photons and axions. In this context, limits from axion search experiments are often directly converted into dark photon constraints, without re-analyzing the orig…

Quantum Point Contact with Local Two-body Loss
Kensuke Kakimoto, Shun Uchino
https://arxiv.org/abs/2505.24391 https://arxiv.org/pdf/2…

Quantum Point Contact with Local Two-body Loss
Motivated by recent advances in ultracold atomic gas experiments, we investigate a two-terminal mesoscopic system in which two-body loss occurs locally at the center of a one-dimensional chain. By means of the self-consistent Born approximation in the Keldysh formalism, we uncover mesoscopic current formulas that are experimentally relevant and applicable to the weak dissipation regime. Although these formulas are analogous to those for systems with one-body loss, it turns out that the channel …

Online design of experiments by active learning for nonlinear system identification
Kui Xie, Alberto Bemporad
https://arxiv.org/abs/2506.21754 https://

Online design of experiments by active learning for nonlinear system identification
We investigate the use of active-learning (AL) strategies to generate the input excitation signal at runtime for system identification of linear and nonlinear autoregressive and state-space models. We adapt various existing AL approaches for static model regression to the dynamic context, coupling them with a Kalman filter to update the model parameters recursively, and also cope with the presence of input and output constraints. We show the increased sample efficiency of the proposed approache…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[4/4]:
- Green LIME: Improving AI Explainability through Design of Experiments
Alexandra Stadler, Werner G. M\"uller, Radoslav Harman

Quantum theory of fractional topological pumping of lattice solitons
Julius Bohm, Hugo Gerlitz, Christina J\"org, Michael Fleischhauer
https://arxiv.org/abs/2506.00090

Quantum theory of fractional topological pumping of lattice solitons
One of the hallmarks of topological quantum systems is the robust quantization of particle transport, which is the origin of the integer-valued Quantum Hall conductivity. In the presence of interactions the topological transport can also become fractional. Recent experiments on topological pumps constructed by arrays of photonic waveguides have demonstrated both integer and fractional transport of lattice solitons. Here a background medium mediates interactions between photons via a Kerr nonlin…

Detection of Molecular Hydrogen in a Proton Trap
J. Caylor (Thomas Jefferson National Accelerator Facility, Newport News USA), R. Biswas (Tulane University, New Orleans USA), B. Crawford (Gettysburg College, Gettysburg USA), M. S. Dewey (National Institute of Standards and Technology, Gaithersburg USA), N. Fomin (University of Tennessee, Knoxville USA), G. L. Greene (University of Tennessee, Knoxville USA, Tulane University, New Orleans USA), S. F. Hoogerheide (National Institute of St…

Detection of Molecular Hydrogen in a Proton Trap
One method of determining the free neutron lifetime involves the absolute counting of neutrons and trapped decay protons. In such experiments, a cold neutron beam traverses a segmented proton trap inside a superconducting solenoid while the neutron flux is continuously monitored. Protons that are born within the fiducial volume of the trap are confined radially by the magnetic field and axially by the electrostatic potential supplied by trap electrodes. They are periodically released and counte…

Are Large Language Models Capable of Deep Relational Reasoning? Insights from DeepSeek-R1 and Benchmark Comparisons
Chi Chiu So, Yueyue Sun, Jun-Min Wang, Siu Pang Yung, Anthony Wai Keung Loh, Chun Pong Chau
https://arxiv.org/abs/2506.23128

Are Large Language Models Capable of Deep Relational Reasoning? Insights from DeepSeek-R1 and Benchmark Comparisons
How far are Large Language Models (LLMs) in performing deep relational reasoning? In this paper, we evaluate and compare the reasoning capabilities of three cutting-edge LLMs, namely, DeepSeek-R1, DeepSeek-V3 and GPT-4o, through a suite of carefully designed benchmark tasks in family tree and general graph reasoning. Our experiments reveal that DeepSeek-R1 consistently achieves the highest F1-scores across multiple tasks and problem sizes, demonstrating strong aptitude in logical deduction and …

Unconventional Superconducting Pairing Symmetries in La$_3$Ni$_2$O$_7$: from the Perspective of Topology
Guan-Hao Feng, Jun Quan, Yusheng Hou
https://arxiv.org/abs/2506.01764

Unconventional Superconducting Pairing Symmetries in La$_3$Ni$_2$O$_7$: from the Perspective of Topology
The recently discovered superconductor La$_3$Ni$_2$O$_7$ has attracted significant attention due to its remarkably high $T_{c}$ and unconventional pairing mechanism. High-pressure experiments have demonstrated that the emergence of the superconducting phase is associated with a transition to a higher-symmetry structure. Motivated by this observation, we investigate superconductivity in La$_3$Ni$_2$O$_7$ under high pressure from the perspectives of symmetry and topology. Based on a bilayer two-o…

Static disorder-induced renormalization of polariton group velocity
Gustavo J. R. Aroeira, Raphael F. Ribeiro
https://arxiv.org/abs/2507.00918 https://

Static disorder-induced renormalization of polariton group velocity
Molecular exciton-polaritons exhibit long-range, ultrafast propagation, yet recent experiments have reported far slower propagation than expected. In this work, we implement a nonperturbative approach to quantify how static energetic disorder renormalizes polariton group velocity in strongly coupled microcavities. The method requires no exact diagonalization or master equation propagation, and depends only on measurable parameters: the mean exciton energy and its variance, the microcavity dispe…

celegans_interactomes: C. elegans interactomes (2009)
Ten networks of protein-protein interactions in Caenorhabditis elegans (nematode), from yeast two-hybrid experiments, biological process maps, literature curation, orthologous interactions, and genetic interactions. The WI8 network combines WI2004, WI2007 and BPmaps, while the Integrated Network combines data from all sources.
This network has 912 nodes and 22738 edges.
Tags: Biological, Protein interactions, Unweighted

Human-Centric Evaluation for Foundation Models
Yijin Guo, Kaiyuan Ji, Xiaorong Zhu, Junying Wang, Farong Wen, Chunyi Li, Zicheng Zhang, Guangtao Zhai
https://arxiv.org/abs/2506.01793

Human-Centric Evaluation for Foundation Models
Currently, nearly all evaluations of foundation models focus on objective metrics, emphasizing quiz performance to define model capabilities. While this model-centric approach enables rapid performance assessment, it fails to reflect authentic human experiences. To address this gap, we propose a Human-Centric subjective Evaluation (HCE) framework, focusing on three core dimensions: problem-solving ability, information quality, and interaction experience. Through experiments involving Deepseek R…

This https://arxiv.org/abs/2504.18681 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Magnetic excitations from the hexagonal spin clusters in the S = 1/2 distorted honeycomb lattice antiferromagnet Cu2(pymca)3(ClO4)
Cu2(pymca)3(ClO4) (pymca: pyrimidine-2-carboxylate) consists of a slightly distorted honeycomb lattice of Cu2+ spins, which shows no long-range magnetic order down to 0.6 K. A magnetization study revealed 1/3 and 2/3 plateau phases [A. Okutani et al., J. Phys. Soc. Jpn. 88, 013703 (2019)], which is not expected for regular honeycomb antiferromagnets. Inelastic neutron scattering experiments were performed using a powder sample to investigate the exchange interactions of this material. The spin …

This https://arxiv.org/abs/2403.17285 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments
A/B testing has become the gold standard for policy evaluation in modern technological industries. Motivated by the widespread use of switchback experiments in A/B testing, this paper conducts a comprehensive comparative analysis of various switchback designs in Markovian environments. Unlike many existing works which derive the optimal design based on specific and relatively simple estimators, our analysis covers a range of state-of-the-art estimators developed in the reinforcement learning (R…

On a class of coupled fractional nonlinear singular boundary value problems arising in dusty fluid models
Lok Nath Kannaujiya, Narendra Kumar, Amit K. Verma
https://arxiv.org/abs/2507.00017

On a class of coupled fractional nonlinear singular boundary value problems arising in dusty fluid models
In this article, we introduce a new class of coupled fractional Lane-Emden boundary value problems. We employ a novel approach, the fractional Haar wavelet collocation method with the Newton-Raphson method. We analyze the conditions in two cases to present numerical experiments related to the defined system of fractional differential equations. To validate the accuracy of the proposed method we present the convergence of the method, and we demonstrate the method's effectiveness through five num…

Scotland's travellers suffered 'cultural genocide', report says - BBC News
https://www.bbc.co.uk/news/articles/cp8de3ld05yo

Scotland's travellers suffered 'cultural genocide', report says
New research claims social experiments on Scotland's Gypsy Travellers were a form of "cultural genocide".

GigaAM: Efficient Self-Supervised Learner for Speech Recognition
Aleksandr Kutsakov, Alexandr Maximenko, Georgii Gospodinov, Pavel Bogomolov, Fyodor Minkin
https://arxiv.org/abs/2506.01192

GigaAM: Efficient Self-Supervised Learner for Speech Recognition
Self-Supervised Learning (SSL) has demonstrated strong performance in speech processing, particularly in automatic speech recognition. In this paper, we explore an SSL pretraining framework that leverages masked language modeling with targets derived from a speech recognition model. We also present chunkwise attention with dynamic chunk size sampling during pretraining to enable both full-context and streaming fine-tuning. Our experiments examine scaling with respect to model size and the amoun…

Impact of Shallow vs. Deep Relevance Judgments on BERT-based Reranking Models
Gabriel Iturra-Bocaz, Danny Vo, Petra Galuscakova
https://arxiv.org/abs/2506.23191

Impact of Shallow vs. Deep Relevance Judgments on BERT-based Reranking Models
This paper investigates the impact of shallow versus deep relevance judgments on the performance of BERT-based reranking models in neural Information Retrieval. Shallow-judged datasets, characterized by numerous queries each with few relevance judgments, and deep-judged datasets, involving fewer queries with extensive relevance judgments, are compared. The research assesses how these datasets affect the performance of BERT-based reranking models trained on them. The experiments are run on the M…

Accurate Estimation of Mutual Information in High Dimensional Data
Eslam Abdelaleem, K. Michael Martini, Ilya Nemenman
https://arxiv.org/abs/2506.00330 htt…

Accurate Estimation of Mutual Information in High Dimensional Data
Mutual information (MI) is a measure of statistical dependencies between two variables, widely used in data analysis. Thus, accurate methods for estimating MI from empirical data are crucial. Such estimation is a hard problem, and there are provably no estimators that are universally good for finite datasets. Common estimators struggle with high-dimensional data, which is a staple of modern experiments. Recently, promising machine learning-based MI estimation methods have emerged. Yet it remain…

I did some experiments measuring propagation delay in a simple chain of 3 digital inverters (NOT gates) (74LS04).
I'm honestly not sure my entry-level scope is fast enough to accurately measure this, but it's fun to try.
It's also interesting to watch the signals completely freak out when you change the input voltage too slowly, but I didn't make a screenshot of that.
#electronics

CAD-Integrated Electrostatic Boundary Element Simulations with Non-Conforming Higher-Order Meshes
Benjamin Marussig, J\"urgen Zechner, Thomas R\"uberg, Lars Kielhorn, Domagoj Bo\v{s}njak, Thomas-Peter Fries
https://arxiv.org/abs/2506.22676

CAD-Integrated Electrostatic Boundary Element Simulations with Non-Conforming Higher-Order Meshes
We present a design through analysis workflow that enables virtual prototyping of electric devices. A CAD plugin establishes the interaction between design and analysis, allowing the preparation of analysis models and the visualization of its results within the design environment. The simulations utilize a fast boundary element method (BEM) that allows for non-conforming and higher-order meshes. Our numerical experiments investigate the accuracy of the approach and its sensitivity to the initia…

Configurable photonic simulator for quantum field dynamics
Mauro D'Achille, Martin G\"arttner, Tobias Haas
https://arxiv.org/abs/2506.23838 https:…

Configurable photonic simulator for quantum field dynamics
Quantum field simulators provide unique opportunities for investigating the dynamics of quantum fields through tabletop experiments. A primary drawback of standard encoding schemes is their rigidity: altering the theory, its coupling geometry, metric structure, or simulation time typically requires redesigning the experimental setup, which imposes strong constraints on the types of dynamics and theories that can be simulated. Here, we introduce the Optical Time Algorithm (OTA) as a unifying fra…

Prenematic Fluctuations in Nanoparticle-Hosted Systems
Szymon Starzonek, Krzysztof G\'orny, Zbigniew Dendzik, Dejvid \v{C}re\v{s}nar, Ale\v{s} Igli\v{c}
https://arxiv.org/abs/2507.01562

Prenematic Fluctuations in Nanoparticle-Hosted Systems
This study combines broadband dielectric spectroscopy (BDS) experiments with molecular dynamics (MD) simulations to investigate the influence of nanoparticle (NP) inclusions on pretransitional phenomena in a liquid crystal (LC) host. We aimed to fill the existing gap between macroscopic observations and their microscopic origins. Our experimental results on SiO$_2$-doped 5CB composites demonstrate that while NP additions do not significantly change the isotropic-nematic transition temperature (…

Effect of freestream turbulence on the coherent dynamics of a wind turbine wake
Neelakash Biswas, Oliver R. H. Buxton
https://arxiv.org/abs/2506.23728 http…

Effect of freestream turbulence on the coherent dynamics of a wind turbine wake
The wake of a model wind turbine exposed to freestream turbulence (FST) with a variety of turbulent characteristics is studied through Particle Image Velocimetry experiments. The FST cases spanned turbulent intensities (T_i) in the range 1% < T_i < 13.1 % and integral length scales (L_v) in the range 0.01D < L_v < 0.11D (where D is the diameter of the turbine model)}. Increasing T_i and L_v in this range resulted in an earlier breakdow…

Structured Column Subset Selection for Bayesian Optimal Experimental Design
Hugo D\'iaz, Arvind K. Saibaba, Srinivas Eswar, Vishwas Rao, Zichao Wendy Di
https://arxiv.org/abs/2506.00336

Structured Column Subset Selection for Bayesian Optimal Experimental Design
We consider optimal experimental design (OED) for Bayesian inverse problems, where the experimental design variables have a certain multiway structure. Given $d$ different experimental variables with $m_i$ choices per design variable $1 \le i\le d$, the goal is to select $k_i \le m_i$ experiments per design variable. Previous work has related OED to the column subset selection problem by mapping the design variables to the columns of a matrix $\mathbf{A}$. However, this approach is applicable o…

Ionic KdV structure in weakly collisional plasmas
Renjun Duan, Zongguang Li, Dongcheng Yang, Tong Yang
https://arxiv.org/abs/2506.23159 https://

Ionic KdV structure in weakly collisional plasmas
We consider the one-dimensional ions dynamics in weakly collisional plasmas governed by the Vlasov-Poisson-Landau system under the Boltzmann relation with the small collision frequency $ν>0$. It is observed in physical experiments that the interplay of nonlinearities and dispersion may lead to the formation of ion acoustic solitons that are described by the Korteweg-de Vries equation. In this paper, to capture the ionic KdV structure in the weak-collision regime, we study the combined cold-ion…

Design and Validation of the Digital Receiver System for the next-generation radio interferometer
Donghao Qu, Jiajun Zhang, Yajun Wu, Zhang Zhao, Yanbin Yang, Zixuan Liu
https://arxiv.org/abs/2506.00464

Design and Validation of the Digital Receiver System for the next-generation radio interferometer
This paper presents the design and validation of a digital receiver system developed for the next-generation radio interferometer projects. The receiver supports 8 analog inputs with 12-bit, 4GHz sampling and performs real-time signal processing using FPGA-based channelization. Field experiments were conducted to observe the Sun, a satellite beacon, and Cassiopeia A. Interference fringes were analyzed and modeled. Time delay compensation was implemented in two ways: theoretical calculation and …

This https://arxiv.org/abs/2503.07289 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepe…

Gaussian Process Regression as a Sustainable Data-driven Background Estimate Method at the (HL)-LHC
In this article, we evaluate the performance of a data-driven background estimate method based on Gaussian Process Regression (GPR). A realistic background spectrum from a search conducted by CMS is considered, where a large sub-region below the trigger threshold is included. It is found that the $L_2$ regularisation can serve as a set of hyperparameters and control the overall modelling performance to satisfy common standards established by experiments at the Large Hadron Collider (LHC). In ad…

Cluster Reconstruction in Electromagnetic Calorimeters Using Machine Learning Methods
Kalina Dimitrova, Venelin Kozhuharov, Ruslan Nastaev, Peicho Petkov
https://arxiv.org/abs/2505.24740

Cluster Reconstruction in Electromagnetic Calorimeters Using Machine Learning Methods
Machine-learning-based methods can be developed for the reconstruction of clusters in segmented detectors for high energy physics experiments. Convolutional neural networks with autoencoder architecture trained on labeled data from a simulated dataset reconstruct events by providing information about the hit point and energy of each particle that has entered the detector. The correct reconstruction of the positionand the energy of the incident particles is crucial for the accurate events recons…

Deconstructing the Origins of Interfacial Catalysis: Why Electric Fields are Inseparable from Solvation
Solana Di Pino, Debarshi Banerjee, Marta Monti, Gonzalo Diaz Miron, Giuseppe Cassone, Ali Hassanali
https://arxiv.org/abs/2506.23988

Deconstructing the Origins of Interfacial Catalysis: Why Electric Fields are Inseparable from Solvation
In the last decade, there has been a surge of experiments showing that certain chemical reactions undergo an enormous boost when taken from bulk aqueous conditions to microdroplet environments. The microscopic basis of this phenomenon remains elusive and continues to be widely debated. One of the key driving forces invoked are the specific properties of the air-water interface including the presence of large electric fields and distinct solvation at the surface. Here, using a combination of cla…

DirecTV experiments with discontinuing satellite TV subscriptions for new customers in several US regions and directing subscribers toward its streaming option (Luke Bouma/Cord Cutters News)
https://cordcuttersnews.com/directv-stop…

DIRECTV Stops Selling Satellite TV for New Customers in Select Areas | Cord Cutters News
DIRECTV, a leading provider of television entertainment, has announced a significant shift in its service offerings, discontinuing satellite TV subscriptions for new customers in several regions across the United States. The company is now directing new subscribers toward its streaming option, as part of a broader strategy to adapt to evolving consumer preferences and technological […]

Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis
Jiawei Fu, Donald P. Green
https://arxiv.org/abs/2505.21909

Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis
How should we analyze randomized experiments in which the main outcome is measured in multiple ways and each measure contains some degree of error? Since Costner (1971) and Bagozzi (1977), methodological discussions of experiments with latent outcomes have reviewed the modeling assumptions that are invoked when the quantity of interest is the average treatment effect (ATE) of a randomized intervention on a latent outcome that is measured with error. Many authors have proposed methods to estimat…

Low multipole mapmaking for global 21-cm experiments
Yordan D. Ignatov, Jonathan R. Pritchard
https://arxiv.org/abs/2506.21258 https://

Low multipole mapmaking for global 21-cm experiments
The 21-cm global signal is obscured by very bright galactic and extra galactic foreground emissions. Typical single-spectrum fit (SSF) based methods for foreground/signal separation can result in biased estimates of the cosmological signal due to the presence of spectral oscillations induced by the interaction between chromatic beams and the spatial shape of the foregrounds. Modelling this interaction requires some amount of assumed foreground information. We present a mapmaking-based approach …

Unifying same- and different-material particle charging through stochastic scaling
Holger Grosshans, Gizem Ozler, Simon Janta\v{c}
https://arxiv.org/abs/2505.23775

Unifying same- and different-material particle charging through stochastic scaling
Triboelectric charging of insulating particles through contact is critical in diverse physical and engineering processes, from dust storms and volcanic eruptions to industrial powder handling. However, repeated experiments revealed counterintuitive charge patterns, including variable impact charge under identical conditions, charge sign reversal with repeated impacts, and bipolar charging of differently sized particles. Existing computational models cannot predict these patterns; they either re…

Vermont and Nebraska: Diverging Experiments in State Age-Appropriate Design Codes
https://fpf.org/blog/vermont-and-nebraska-diverging-experiments-in-state-age-appropriate-design-codes/
@…

ALEA IACTA EST: A Declarative Domain-Specific Language for Manually Performable Random Experiments
Baltasar Tranc\'on y Widemann, Markus Lepper
https://arxiv.org/abs/2506.11794

ALEA IACTA EST: A Declarative Domain-Specific Language for Manually Performable Random Experiments
Random experiments that are simple and clear enough to be performed by human agents feature prominently in the teaching of elementary stochastics as well as in games. We present Alea, a domain-specific language for the specification of random experiments. Alea code can either be analyzed statically to obtain and inspect probability distributions of outcomes, or be executed with a source pseudo-randomness for simulation or as a game assistant. The language is intended for ease of use by non-expe…

More Jams and Experiments
I got tired of creating basslines that didn't fit with the chords I had in mind, so this time I played the synth part before the bass. It's just an Am-G vamp. The guitar is my Epiphone ES-175 Premium. They only made these in 2014, but of course the original Gibson ES-175's date from 1957, I think. The synth is Yoshimi, an old synth that works in Linux.

When Experimental Economics Meets Large Language Models: Tactics with Evidence
Shu Wang, Zijun Yao, Shuhuai Zhang, Jianuo Gai, Tracy Xiao Liu, Songfa Zhong
https://arxiv.org/abs/2505.21371

When Experimental Economics Meets Large Language Models: Tactics with Evidence
Advancements in large language models (LLMs) have sparked a growing interest in measuring and understanding their behavior through experimental economics. However, there is still a lack of established guidelines for designing economic experiments for LLMs. By combining principles from experimental economics with insights from LLM research in artificial intelligence, we outline and discuss eight practical tactics for conducting experiments with LLMs. We further perform two sets of experiments to…

Deep Hedging to Manage Tail Risk
Yuming Ma
https://arxiv.org/abs/2506.22611 https://arxiv.org/pdf/2506.22611

Deep Hedging to Manage Tail Risk
Extending Buehler et al.'s 2019 Deep Hedging paradigm, we innovatively employ deep neural networks to parameterize convex-risk minimization (CVaR/ES) for the portfolio tail-risk hedging problem. Through comprehensive numerical experiments on crisis-era bootstrap market simulators -- customizable with transaction costs, risk budgets, liquidity constraints, and market impact -- our end-to-end framework not only achieves significant one-day 99% CVaR reduction but also yields practical insights int…

This https://arxiv.org/abs/2505.22737 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Nonlinear Diffusion and Decay of an Expanding Turbulent Blob
Turbulence, left unforced, decays and invades the surrounding quiescent fluid. Though ubiquitous, this simple phenomenon has proven hard to capture within a simple and general framework. Experiments in conventional turbulent flow chambers are inevitably complicated by proximity to boundaries and mean flow, obscuring the fundamental aspects of the relaxation to the quiescent fluid state. Here, we circumvent these issues by creating a spatially-localized blob of turbulent fluid using eight conver…

Scaling particle-size segregation in wide-ranging sheared granular flows
Tianxiong Zhao, Daisuke Noto, Xia Li, Tom\'as Trewhela, Hugo N. Ulloa
https://arxiv.org/abs/2507.01248

Scaling particle-size segregation in wide-ranging sheared granular flows
Scaling relationships have been proposed to describe shear-driven size segregation based on intruder experiments and simulations. While these models have shown agreement with experimental and numerical results under uniform shear rate, their validity across varying shear-rate conditions remains uncertain. Here, we employ Discrete Element Method (DEM) simulations to investigate particle size segregation in sheared granular flows under wide-ranging shear-rate conditions. We find that the scaling …

DPOT: A DeepParticle method for Computation of Optimal Transport with convergence guarantee
Yingyuan Li, Aokun Wang, Zhongjian Wang
https://arxiv.org/abs/2506.23429

DPOT: A DeepParticle method for Computation of Optimal Transport with convergence guarantee
In this work, we propose a novel machine learning approach to compute the optimal transport map between two continuous distributions from their unpaired samples, based on the DeepParticle methods. The proposed method leads to a min-min optimization during training and does not impose any restriction on the network structure. Theoretically we establish a weak convergence guarantee and a quantitative error bound between the learned map and the optimal transport map. Our numerical experiments vali…

At my keynote for the 2025 Acadia Ethics Conference, a number of clinical therapists in attendance surprised me by embracing AI's potential to bridge mental health gaps and even flag anxiety-producing items in their offices from a single photo.
https://www.

Clustering scientific publications: lessons learned through experiments with a real citation network
Vu Thi Huong, Thorsten Koch
https://arxiv.org/abs/2505.18180

Clustering scientific publications: lessons learned through experiments with a real citation network
Clustering scientific publications can reveal underlying research structures within bibliographic databases. Graph-based clustering methods, such as spectral, Louvain, and Leiden algorithms, are frequently utilized due to their capacity to effectively model citation networks. However, their performance may degrade when applied to real-world data. This study evaluates the performance of these clustering algorithms on a citation graph comprising approx. 700,000 papers and 4.6 million citations ex…

Physics-Informed Neural Networks for the Relativistic Burgers Equation in the Exterior of a Schwarzschild Black Hole
Shuyang Xiang
https://arxiv.org/abs/2506.00951

Physics-Informed Neural Networks for the Relativistic Burgers Equation in the Exterior of a Schwarzschild Black Hole
We introduce a Physics-Informed Neural Networks(PINN) to solve a relativistic Burgers equation in the exterior domain of a Schwarzschild black hole. Our main contribution is a PINN architecture that is able to simulate shock wave formations in such curved spacetime, by training a shock- aware network block and introducing a Godunov-inspired residuals in the loss function. We validate our method with numerical experiments with different kinds of initial conditions. We show its ability to reprodu…

Term Ordering Diagrams
M\'arton Hajdu, Robin Coutelier, Laura Kov\'acs, Andrei Voronkov
https://arxiv.org/abs/2505.22181 https://

Term Ordering Diagrams
The superposition calculus for reasoning in first-order logic with equality relies on simplification orderings on terms. Modern saturation provers use the Knuth-Bendix order (KBO) and the lexicographic path order (LPO) for discovering redundant clauses and inferences. Implementing term orderings is however challenging. While KBO comparisons can be performed in linear time and LPO checks in quadratic time, using the best known algorithms for these orders is not enough. Indeed, our experiments sh…

A high-temperature furnace for multi-modal synchrotron-based X-ray microscopy and diffraction imaging
Louis Lesage, Yves Watier, Helena Isern, Aditya Shukla, Virginia Sanna, Thomas Dufrane, Yubin Zhang, Carsten Detlefs, Can Yildirim
https://arxiv.org/abs/2507.00975

A high-temperature furnace for multi-modal synchrotron-based X-ray microscopy and diffraction imaging
The design, calibration, and initial application of a non-contact high-temperature furnace developed for in situ synchrotron X-ray experiments are presented. The system enables a stable operation up to 1000 °C, with heating rates exceeding 6000 °C/min and thermal stability better than {\pm}2 °C. Temperature calibration was performed using (i) direct measurements with a thermocouple to characterize heating and cooling ramp rates and map temperature gradients along the x, y, and z axes, and (i…

Active Disturbance Rejection Control for Trajectory Tracking of a Seagoing USV: Design, Simulation, and Field Experiments
Jelmer van der Saag, Elia Trevisan, Wouter Falkena, Javier Alonso-Mora
https://arxiv.org/abs/2506.21265

Active Disturbance Rejection Control for Trajectory Tracking of a Seagoing USV: Design, Simulation, and Field Experiments
Unmanned Surface Vessels (USVs) face significant control challenges due to uncertain environmental disturbances like waves and currents. This paper proposes a trajectory tracking controller based on Active Disturbance Rejection Control (ADRC) implemented on the DUS V2500. A custom simulation incorporating realistic waves and current disturbances is developed to validate the controller's performance, supported by further validation through field tests in the harbour of Scheveningen, the Netherla…

celegans_interactomes: C. elegans interactomes (2009)
Ten networks of protein-protein interactions in Caenorhabditis elegans (nematode), from yeast two-hybrid experiments, biological process maps, literature curation, orthologous interactions, and genetic interactions. The WI8 network combines WI2004, WI2007 and BPmaps, while the Integrated Network combines data from all sources.
This network has 2528 nodes and 3864 edges.
Tags: Biological, Protein interactions, Unweighted

traccc: GPU track reconstruction library for HEP experiments
Paul Gessinger, Heather M. Gray, Attila Krasznahorkay, Charles Leggett, Joana Niermann, Andreas Salzburger, Stephen Nicholas Swatman, Beomki Yeo
https://arxiv.org/abs/2505.22822

traccc: GPU track reconstruction library for HEP experiments
We present the current development status and progress of traccc, a GPU track reconstruction library developed in the context of the A Common Tracking Software (ACTS) project. traccc implements tracking algorithms used in high energy physics (HEP) experiments, including the Kalman filter based track finding and fitting. We benchmark the software with data simulated by Geant4 to measure the physics and computing performance. We show that the physics performance for GPU and CPU are very close. We…

An open-source Modular Online Psychophysics Platform (MOPP)
Yuval Samoilov-Kats, Matan Noach, Noam Beer, Yuval Efrati, Adam Zaidel
https://arxiv.org/abs/2505.23137

An open-source Modular Online Psychophysics Platform (MOPP)
In recent years, there is a growing need and opportunity to use online platforms for psychophysics research. Online experiments make it possible to evaluate large and diverse populations remotely and quickly, complementing laboratory-based research. However, developing and running online psychophysics experiments poses several challenges: i) a high barrier-to-entry for researchers who often need to learn complex code-based platforms, ii) an uncontrolled experimental environment, and iii) questi…

On the oscillatory dynamics of a Saffman--Taylor finger with a bubble at its tip
Jack Lawless, Andrew L. Hazel, Anne Juel
https://arxiv.org/abs/2506.00761 …

On the oscillatory dynamics of a Saffman--Taylor finger with a bubble at its tip
The complex behaviour of air-liquid interfaces driven into Hele-Shaw channels at high speeds could arise from oscillatory dynamics; yet, both the physical and dynamical mechanisms that lead to interfacial oscillations remain unclear. We extend the experiments by Couder \textit{et. al.} (\textit{Phys. Rev. A}, vol. 34, 1986, p. 5175) to present a systematic investigation of the dynamics that result when a small air bubble is placed at the tip of a steadily propagating air finger in a Hele-Shaw…

Replaced article(s) found for cond-mat.soft. https://arxiv.org/list/cond-mat.soft/new
[1/1]:
- Experiments and modeling of mechanically-soft, hard magnetorheological foams with potential appli...
Zehui Lin, Zahra Hooshmand-Ahoor, Laurence Bodelot, Kostas Danas

This https://arxiv.org/abs/2411.03530 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Improving precision of A/B experiments using trigger intensity
In industry, online randomized controlled experiment (a.k.a. A/B experiment) is a standard approach to measure the impact of a causal change. These experiments have small treatment effect to reduce the potential blast radius. As a result, these experiments often lack statistical significance due to low signal-to-noise ratio. A standard approach for improving the precision (or reducing the standard error) focuses only on the trigger observations, where the output of the treatment and the control…

celegans_interactomes: C. elegans interactomes (2009)
Ten networks of protein-protein interactions in Caenorhabditis elegans (nematode), from yeast two-hybrid experiments, biological process maps, literature curation, orthologous interactions, and genetic interactions. The WI8 network combines WI2004, WI2007 and BPmaps, while the Integrated Network combines data from all sources.
This network has 2528 nodes and 3864 edges.
Tags: Biological, Protein interactions, Unweighted

New insights into the cavitation erosion by bubble collapse at moderate stand-off distances
Zhesheng Zhao, Shuai Li, Chengwang Xiong, Pu Cui, Shiping Wang, A-Man Zhang
https://arxiv.org/abs/2506.01286

New insights into the cavitation erosion by bubble collapse at moderate stand-off distances
Non-spherical bubble collapses near solid boundaries, generating water hammer pressures and shock waves, were recognized as key mechanisms for cavitation erosion. However, there is no agreement on local erosion patterns, and cavitation erosion damage lacks quantitative analysis. In our experiments, five distinct local erosion patterns were identified on aluminum sample surfaces, resulting from the collapse of laser-induced cavitation bubbles at moderate stand-off distances of $0.4\leγ\le2.2$, …

Reexamination of the charge-ordered dimer pattern in the spinel compound CuIr2S4 using single-crystal synchrotron x-ray diffraction
T. Ohashi, N. Katayama, K. Kojima, M. Emi, C. Koyama, T. Hara, K. Hashimoto, S. Kitani, H. Kawaji, H. S. Suzuki, S. Nagata, K. Sugimoto, K. Iida, H. Sawa
https://arxiv.org/abs/2506.23658

Reexamination of the charge-ordered dimer pattern in the spinel compound CuIr2S4 using single-crystal synchrotron x-ray diffraction
We have re-investigated the crystal structure of a spinel type CuIr2S4 at low temperatures using a single-crystal in a synchrotron radiation x-ray diffraction experiment. The crystal structure of the low-temperature phase of CuIr2S4 has been already studied by diffraction experiments using a powder sample, and it has been reported that the formation of dimer molecules accompanied by charge ordering of Ir has been achieved. The crystal structure of the low-temperature phase obtained in our reana…

DAPFAM: A Domain-Aware Patent Retrieval Dataset Aggregated at the Family Level
Iliass Ayaou (ICube), Denis Cavallucci (ICube), Hicham Chibane (ICube)
https://arxiv.org/abs/2506.22141

DAPFAM: A Domain-Aware Patent Retrieval Dataset Aggregated at the Family Level
In the landscape of publicly available patent retrieval datasets, the need for explicit indomain and out-of-domain labeling, multi-jurisdiction coverage, balanced query domain representation and manageable sizes that support sub document level experiments on moderate computational resources is often overlooked. To address these gaps, we propose DAPFAM, a new open access domain-aware patent retrieval dataset constructed at the simple-family level. The dataset contains 1,247 domain balanced full …

Patterning surface textured plates with a viscoplastic fluid
Vanessa R. Kern, P{\aa}l E. S. Olsen, Marcel Moura, Andreas Carlson
https://arxiv.org/abs/2506.23746

Patterning surface textured plates with a viscoplastic fluid
The deposition of a viscoplastic fluid onto a substrate can be achieved by simply moving apart two plates initially separated by a fluid filled gap, where the footprint shape depends on the initiation of a fingering instability. Here, we present another approach for the controlled deposition of a viscoplastic fluid by designing the macroscopic structures of the solid substrate. Through experiments in a lifted Hele-Shaw cell, we explore how slot, square, pyramid, and triangle-shaped patterns aff…

High-precision polarization measurements with Lumped Element Kinetic Inductance Detectors
Sofia Savorgnano, Andrea Catalano, Juan-Francisco Mac\'ias Perez, Julien Bounmy, Olivier Bourrion, Martino Calvo, Olivier Choulet, Gregory Garde, Anne Gerardin, Mile Kusulja, Alessandro Monfardini, Nicolas Ponthieu, Damien Tourres, Francis Vezzu
https://

High-precision polarization measurements with Lumped Element Kinetic Inductance Detectors
This work aims to demonstrate that two arrays of Lumped Element Kinetic Inductance Detectors (LEKIDs), when employed in filled array configuration and separated by an external linear polarizer oriented at 45 degrees, can achieve the precision required by next-generation cosmological experiments. The focus here is on validating their ability to meet stringent uncertainty requirements, in particular for polarization angle reconstruction. To achieve this, the uncertainties in the reconstruction of…

This https://arxiv.org/abs/2505.21700 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Rethinking Chunk Size For Long-Document Retrieval: A Multi-Dataset Analysis
Chunking is a crucial preprocessing step in retrieval-augmented generation (RAG) systems, significantly impacting retrieval effectiveness across diverse datasets. In this study, we systematically evaluate fixed-size chunking strategies and their influence on retrieval performance using multiple embedding models. Our experiments, conducted on both short-form and long-form datasets, reveal that chunk size plays a critical role in retrieval effectiveness -- smaller chunks (64-128 tokens) are optim…

Constraint on ultralight Nelson-Barr dark matter from time-dependent nuclear decay
Chang-Jie Dai, Tong Li
https://arxiv.org/abs/2506.22081 https://

Constraint on ultralight Nelson-Barr dark matter from time-dependent nuclear decay
Many experiments have notably reported anomalies in radioactive decay rates with periodic variations and challenged the traditional belief of time-independent decays. This periodicity could potentially be explained by the presence of a periodic dark matter (DM) candidate. In this work, we investigate the impact of time-dependent nuclear decay rates on the ultralight scalar DM in Nelson-Barr solution to the strong CP problem. The light scalar DM field in this framework induces periodic modulatio…

Refining Czech GEC: Insights from a Multi-Experiment Approach
Petr Pechman, Milan Straka, Jana Strakov\'a, Jakub N\'aplava
https://arxiv.org/abs/2506.22402

Refining Czech GEC: Insights from a Multi-Experiment Approach
We present a grammar error correction (GEC) system that achieves state of the art for the Czech language. Our system is based on a neural network translation approach with the Transformer architecture, and its key feature is its real-time synthetic generation pipeline, which dynamically augments sentences with artificial errors by introducing both language-agnostic and Czech-specific errors. We conduct a comprehensive series of experiments, investigating the Czech GEC corpora as bases for synth…

Grazing incidence X-ray scattering alignment using the area detector
Edward Tortorici, Charles T. Rogers
https://arxiv.org/abs/2506.22970 https://

Grazing incidence X-ray scattering alignment using the area detector
Grazing incidence X-ray scattering experiments are designed to achieve strong scattering signals from materials, such as molecular monolayers, island films, or thin films that are localized to the surfaces of flat substrates. Optimal signals can be achieved with precise alignment of a substrate surface with the X-ray beam. Here, we outline a simple method that utilizes the area detector, generally available on such systems, to observe reflections from the sample to determine the sample-detector…

Community input to the European Strategy on particle physics: Searches for Permanent Electric Dipole Moments
M. Athanasakis-Kaklamanakis (Imperial College London, United Kingdom), M. Au (Imperial College London, United Kingdom), R. Berger (Imperial College London, United Kingdom), S. Degenkolb (Imperial College London, United Kingdom), J. De Vries (Imperial College London, United Kingdom), S. Hoekstra (Imperial College London, United Kingdom), A. Keshavarzi (Imperial College London, Un…

Community input to the European Strategy on particle physics: Searches for Permanent Electric Dipole Moments
Searches for electric dipole moments (EDMs) in fundamental particles and quantum systems with spin are pivotal experiments at the intersection of low-energy and high-precision particle physics. These investigations offer a complementary pathway to uncovering new physics beyond the Standard Model, parallel to high-energy collider searches. EDM experiments are among the most sensitive probes for detecting non-standard time-reversal (T) symmetry violations and, via the CPT theorem, CP-violation (C…

This https://arxiv.org/abs/2311.06891 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Design-based Estimation Theory for Complex Experiments
This paper considers the estimation of treatment effects in randomized experiments with complex experimental designs, including cases with interference between units. We develop a design-based estimation theory for arbitrary experimental designs. Our theory facilitates the analysis of many design-estimator pairs that researchers commonly employ in practice and provide procedures to consistently estimate asymptotic variance bounds. We propose new classes of estimators with favorable asymptotic p…

High-precision Quantum Phase Estimation on a Trapped-ion Quantum Computer
Andrew Tranter, Duncan Gowland, Kentaro Yamamoto, Michelle Sze, David Mu\~noz Ramo
https://arxiv.org/abs/2506.17207

High-precision Quantum Phase Estimation on a Trapped-ion Quantum Computer
Emergent quantum computing technologies are widely expected to provide novel approaches in the simulation of quantum chemistry. Despite rapid improvements in the scale and fidelity of quantum computers, high resource requirements make the execution of quantum chemistry experiments challenging. Typical experiments are limited in the number of qubits used, incur a substantial shot cost, or require complex architecture-specific optimization and error mitigation techniques. In this paper, we propos…

High Dimensional Beam Inference II: Inference of a Perturbed HERA Beam from Simulated Visibility Data
Michael J. Wilensky, Philip Bull, Nicolas Fagnoni
https://arxiv.org/abs/2506.20712

High Dimensional Beam Inference II: Inference of a Perturbed HERA Beam from Simulated Visibility Data
Accurate beam modeling is important in many radio astronomy applications. In this paper, we focus on beam modeling for 21-cm intensity mapping experiments using radio interferometers, though the techniques also apply to single dish experiments with small modifications. In 21-cm intensity mapping, beam models are usually determined from highly detailed electromagnetic simulations of the receiver system. However, these simulations are expensive, and therefore have limited ability to describe prac…

This https://arxiv.org/abs/2302.00469 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Regression Adjustment, Cross-Fitting, and Randomized Experiments with Many Controls
This paper studies estimation and inference for average treatment effects in randomized experiments with many covariates, under a design-based framework with a deterministic number of treated units. We show that a simple yet powerful cross-fitted regression adjustment achieves bias-correction and leads to sharper asymptotic properties than existing alternatives. Specifically, we derive higher-order stochastic expansions, analyze associated inference procedures, and propose a modified HC3 varian…

Mesoscale properties of protein clusters determine the size and nature of liquid-liquid phase separation (LLPS)
Gonen Golani, Manas Seal, Mrityunjoy Kar, Anthony A. Hyman, Daniella Goldfarb, Samuel Safran
https://arxiv.org/abs/2506.22424

Mesoscale properties of protein clusters determine the size and nature of liquid-liquid phase separation (LLPS)
The observation of Liquid-Liquid Phase Separation (LLPS) in biological cells has dramatically shifted the paradigm that soluble proteins are uniformly dispersed in the cytoplasm or nucleoplasm. The LLPS region is preceded by a one-phase solution, where recent experiments have identified clusters in an aqueous solution with 102-103 proteins. Here, we theoretically consider a core-shell model with mesoscale core, surface, and bending properties of the cluster shell and contrast two experimental p…

Cost Effective Designs For Next-Generation Radio Telescopes
G B Raghavkrishna, Deeptangshu Banik, B Ravi Kumar, D Veeraswamy
https://arxiv.org/abs/2506.22398

Cost Effective Designs For Next-Generation Radio Telescopes
Radio astronomy has entered its golden era, with many revolutionary facilities such as SKA, ngVLA, and LOFAR2.0 coming online in the next decade. These facilities are certain to redefine radio astronomy. However, on smaller scales-such as at institutional or amateur levels-radio astronomy is still mostly practiced for educational or personal interest. The primary reason small-scale radio astronomical experiments rarely produce cutting-edge scientific results is the limitation of funding availab…

A new beamline for Resonant Excitation of Beams with Electromagnetic fields and Lasers (REBEL) and Stopping and Trapping of Radioactive Isotopes for Precision Experiments (STRIPE)
Phillip Imgram, Dinko Atanasov, Michail Athanasakis-Kaklamanakis, Paul Van den Bergh, Tobias Christen, Ruben de Groote, \'Agota Koszor\'us, Gerda Neyens, Stefanos Pelonis

A new beamline for Resonant Excitation of Beams with Electromagnetic fields and Lasers (REBEL) and Stopping and Trapping of Radioactive Isotopes for Precision Experiments (STRIPE)
We present two newly constructed experimental setups - REBEL (Resonant Excitation of Beams with Electromagnetic fields and Lasers) and STRIPE (Stopping and Trapping of Radioactive Isotopes for Precision Experiments) - integrated into a single offline beamline at KU Leuven. REBEL is designed for collinear laser spectroscopy of ion bunches following isobaric separation with a multireflection time-of-flight mass spectrometer, enabling high-sensitivity measurements of mass-selected fast-ion beams. …