Tootfinder

TikTok launches TikTok for Artists, which lets artists access data about their music and posts, and Pre-Release, a tool to promote upcoming album releases (Aisha Malik/TechCrunch)
https://techcrunch.com/2025/06/03/tiktok-launches…

TikTok launches 'TikTok for Artists,' a new music insights platform | TechCrunch
TikTok is officially launching TikTok for Artists, a new music insights platform that is designed to help artists build their careers.

Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs
Chenjun Xu, Bingbing Wen, Bin Han, Robert Wolfe, Lucy Lu Wang, Bill Howe
https://arxiv.org/abs/2506.00582

Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs
Psychology research has shown that humans are poor at estimating their performance on tasks, tending towards underconfidence on easy tasks and overconfidence on difficult tasks. We examine three LLMs, Llama-3-70B-instruct, Claude-3-Sonnet, and GPT-4o, on a range of QA tasks of varying difficulty, and show that models exhibit subtle differences from human patterns of overconfidence: less sensitive to task difficulty, and when prompted to answer based on different personas -- e.g., expert vs laym…

ETH Zurich published a fact sheet with their current insights about the devastating collapse of the Birch glacier and the destruction of Blatten last week...
Article (German):
https://ethz.ch/de/news-und-veranstalt

Was ETH-Gletscherforschende über den Abbruch des Birchgletschers wissen
Am Mittwoch brach der Birchgletscher unter der Last von Fels- und Schuttmassen ein, die von Felsstürzen am Kleinen Nesthorn stammten. Nach einer Begehung vor Ort erläutern ETH-Forschende die Hintergründe des Abbruchs, der Blatten verschüttete, in einem aktualisierten Faktenblatt.

Bottom-Up Perspectives on AI Governance: Insights from User Reviews of AI Products
Stefan Pasch
https://arxiv.org/abs/2506.00080 https://

Bottom-Up Perspectives on AI Governance: Insights from User Reviews of AI Products
With the growing importance of AI governance, numerous high-level frameworks and principles have been articulated by policymakers, institutions, and expert communities to guide the development and application of AI. While such frameworks offer valuable normative orientation, they may not fully capture the practical concerns of those who interact with AI systems in organizational and operational contexts. To address this gap, this study adopts a bottom-up approach to explore how governance-relev…

Thin coronal jets and plasmoid-mediated reconnection: Insights from Solar Orbiter observations and Bifrost simulations
D. N\'obrega-Siverio, R. Joshi, E. Sola-Viladesau, D. Berghmans, D. Lim
https://arxiv.org/abs/2506.03092

Thin coronal jets and plasmoid-mediated reconnection: Insights from Solar Orbiter observations and Bifrost simulations
Coronal jets are ubiquitous, collimated million-degree ejections that contribute to the energy and mass supply of the upper solar atmosphere and the solar wind. Solar Orbiter provides an unprecedented opportunity to observe fine-scale jets from a unique vantage point close to the Sun. We aim to (1) uncover thin jets originating from Coronal Bright Points (CBPs), revealing previously unresolved contributions to coronal upflows; and (2) improve our understanding of plasmoid-mediated reconnection …

Photocurrent detected 2D spectroscopy via pulse shaper: insights and strategies for optimally untangling the nonlinear response
E. Amarotti, L. Bolzonello, S. -H. Lee, D. Zigmantas, N. -G. Park, N. van Hulst, T. Pullerits
https://arxiv.org/abs/2506.02342

Photocurrent detected 2D spectroscopy via pulse shaper: insights and strategies for optimally untangling the nonlinear response
Action-detected two-dimensional electronic spectroscopy (A-2DES) provides valuable insights into ultrafast dynamics within functional materials and devices by measuring incoherent signals like photocurrent. This work details the implementation and optimization of a pulse-shaper-based A-2DES setup, focusing on methodological strategies crucial for acquiring high-fidelity data. We present a comprehensive analysis of phase modulation routines, elucidating the critical interplay between pattern par…

New plan: get people to pay me for my global insights.

@… I don’t know about Bristol, and I don’t have any particular insights, but I seem to remember that the negotiations between the Consortium of Swiss Academic Libraries with Cambridge were difficult, too. In any case, it’s always interesting to look at the conditions:

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 $0.4\leγ\le2.2$, …

Meet Aleksandra Lazić – the first recipient of the Sarah Jones Award!
Recently, our very own Leonardo Marino sat down with Aleksandra to talk about her passion for open science, the journey that led her to receiving the award, and what’s next on the horizon.
➡️ Read her insights in the highlights below; discover the full interview here:

Interview with Aleksandra Lazić – first recipient of the Sarah Jones Award | GÉANT CONNECT Online
Aleksandra Lazić, PhD and co-founder of REPOPSI, was awarded the Sarah Jones Award for her outstanding contribution to Open Science collaboration and inclusion.

New insights on low-mass dark matter subhalo tidal tracks via numerical simulations
Alejandra Aguirre-Santaella, Miguel A. S\'anchez-Conde, Go Ogiya
https://arxiv.org/abs/2506.01152

New insights on low-mass dark matter subhalo tidal tracks via numerical simulations
Many studies assert that dark matter (DM) subhaloes without a baryonic counterpart and with an inner cusp always survive no matter the strength of the tidal force they undergo. In this work, we perform a suite of numerical simulations specifically designed to analyse the evolution of $V_\mathrm{max}$, $r_\mathrm{max}$ and concentration of low-mass DM subhaloes due to tidal stripping. We employ the improved version of the DASH code, introduced in our previous work arXiv:2207.08652 to investigate…

Want super-thorough AI responses by applying deep thought & reasoning AI technology?
Any Microsoft 365 Copilot (Commercial) licensed user can now use the Researcher & Analyst agents at no additional cost! These new agents provide very thorough responses to help you collect FACTS on informational topics & review DATA to derive insights... with human language.
✅ #Researcher

Researcher and Analyst are now generally available | Microsoft 365 Blog
We’re excited to announce the general availability of Researcher and Analyst, two first-of-their-kind reasoning agents designed for work. Learn more.

What does the death of Julius Caesar and probability have to do with the future of knowledge? Join me at noon EDT today for a webinar on how AI, like a JPEG, compresses information, risking a future where history is endlessly rewritten https://maine.zoom.us/webinar/register

CogniAlign: Word-Level Multimodal Speech Alignment with Gated Cross-Attention for Alzheimer's Detection
David Ortiz-Perez, Manuel Benavent-Lledo, Javier Rodriguez-Juan, Jose Garcia-Rodriguez, David Tom\'as
https://arxiv.org/abs/2506.01890

CogniAlign: Word-Level Multimodal Speech Alignment with Gated Cross-Attention for Alzheimer's Detection
Early detection of cognitive disorders such as Alzheimer's disease is critical for enabling timely clinical intervention and improving patient outcomes. In this work, we introduce CogniAlign, a multimodal architecture for Alzheimer's detection that integrates audio and textual modalities, two non-intrusive sources of information that offer complementary insights into cognitive health. Unlike prior approaches that fuse modalities at a coarse level, CogniAlign leverages a word-level temporal alig…

This https://arxiv.org/abs/2412.00411 has been replaced.
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Seismocardiography for Emotion Recognition: A Study on EmoWear with Insights from DEAP
Emotions have a profound impact on our daily lives, influencing our thoughts, behaviors, and interactions, but also our physiological reactions. Recent advances in wearable technology have facilitated studying emotions through cardio-respiratory signals. Accelerometers offer a non-invasive, convenient, and cost-effective method for capturing heart- and pulmonary-induced vibrations on the chest wall, specifically Seismocardiography (SCG) and Accelerometry-Derived Respiration (ADR). Their afforda…

Many-body critical non-Hermitian skin effect
Yi Qin, Yee Sin Ang, Ching Hua Lee, Linhu Li
https://arxiv.org/abs/2506.01383 https://ar…

Many-body critical non-Hermitian skin effect
Criticality in non-Hermitian systems unveils unique phase transitions and scaling behaviors beyond Hermitian paradigms, offering new insights into the interplay between gain/loss, non-reciprocity, and complex energy spectra. In this paper, we uncover a new class of many-body critical non-Hermitian skin effect (CSE) originating from the interplay between multiple non-Hermitian pumping channels and Hubbard interactions. In particular, criticality in the real-to-complex transitions can selectively…

Fairness Dynamics During Training
Krishna Patel, Nivedha Sivakumar, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
https://arxiv.org/abs/2506.01709

Fairness Dynamics During Training
We investigate fairness dynamics during Large Language Model (LLM) training to enable the diagnoses of biases and mitigations through training interventions like early stopping; we find that biases can emerge suddenly and do not always follow common performance metrics. We introduce two new metrics to evaluate fairness dynamics holistically during model pre-training: Average Rank and Jensen-Shannon Divergence by Parts. These metrics provide insights into the Pythia models' progression of biases…

This https://arxiv.org/abs/2504.16449 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories
Malicious URLs persistently threaten the cybersecurity ecosystem, by either deceiving users into divulging private data or distributing harmful payloads to infiltrate host systems. Gaining timely insights into the current state of this ongoing battle holds significant importance. However, existing reviews exhibit 4 critical gaps: 1) Their reliance on algorithm-centric taxonomies obscures understanding of how detection approaches exploit specific modal information channels; 2) They fail to incor…

This https://arxiv.org/abs/2505.12185 has been replaced.
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EVALOOP: Assessing LLM Robustness in Programming from a Self-consistency Perspective
Assessing the programming capabilities of Large Language Models (LLMs) is crucial for their effective use in software engineering. Current evaluations, however, predominantly measure the accuracy of generated code on static benchmarks, neglecting the critical aspect of model robustness during programming tasks. While adversarial attacks offer insights on model robustness, their effectiveness is limited and evaluation could be constrained. Current adversarial attack methods for robustness evalua…

This https://arxiv.org/abs/2501.01860 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Constraining eV-scale axion-like particle dark matter: insights from the M87 Galaxy
Axion-like particles (ALPs) can account for the observed dark matter (DM) of the Universe and if their masses are at the eV scale, they can decay into infrared, optical and ultraviolet photons with a decay lifetime larger than the age of the Universe.We analyze multi-wavelength data obtained from the central region of Messier 87 (M87) galaxy by several telescopes, such as, Swift, Astrosat, Kanata, Spitzer and International Ultraviolet Explorer in the infrared to ultraviolet frequencies ($\sim 2…

This https://arxiv.org/abs/2502.06381 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Revisiting Optimal Allocations for Binary Responses: Insights from Considering Type-I Error Rate Control
This work revisits optimal response-adaptive designs from a type-I error rate perspective, highlighting when and how much these allocations exacerbate type-I error rate inflation - an issue previously undocumented. We explore a range of approaches from the literature that can be applied to reduce type-I error rate inflation. However, we found that all of these approaches fail to give a robust solution to the problem. To address this, we derive two optimal allocation proportions, incorporating t…

This https://arxiv.org/abs/2505.23664 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

Measurements $\mathit{with}$ probabilities in the final state proposal
Bousso and Stanford (BS) argued that the black hole final state proposal leads to acausal effects and ill-defined probabilities for the AMPS experiment. We identify a loophole in their analysis using insights from entanglement wedge reconstruction and replica wormholes. We trace the cause of the BS problems to the misidentification of the physical interior where the second AMPS measurement happens from among the multiple interiors introduced by the first measurement.

Surrogate models for lightcurves and photosphere properties of Type II supernovae
Nikhil Sarin, Takashi J. Moriya, Avinash Singh, Anjasha Gangopadhyay, K-Ryan Hinds, Steve Schulze, Conor M. B. Omand, Kaustav K. Das
https://arxiv.org/abs/2506.02107

Surrogate models for lightcurves and photosphere properties of Type II supernovae
Inferences on the properties Type II supernovae (SNe) can provide significant insights into the lives and deaths of the astrophysical population of massive stars and potentially provide measurements of luminosity distance, independent of the distance ladder. Here, we introduce surrogate models for the photospheric properties and lightcurves of Type II SNe trained on a large grid of simulations from the radiation hydrodynamics code, {\sc stella}. The trained model can accurately and efficiently …

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…

Understanding Stability Mechanisms in Single-Atom Alloys with Theory-infused Deep Learning
Yang Huang, Shih-Han Wang, Shuyi Cao, Luke E. K. Achenie, Hongliang Xin
https://arxiv.org/abs/2506.03031

Understanding Stability Mechanisms in Single-Atom Alloys with Theory-infused Deep Learning
We present an interpretable deep learning model that enhances the prediction of cohesive energy in transition metal alloys (TMAs) by incorporating cohesion theory into a graph neural network (GNN) framework. The model not only predicts the total cohesive energy-an indicator of crystal stability-but also disentangles its various contributing factors and underlying physical parameters. The physics insights extracted from the model clarify the stability trends of transition metal surfaces across t…

Interior redox state effects on the stability of secondary atmospheres and observational manifestations: LP 791-18 d as a case study for outgassing rocky exoplanets
Leonardos Gkouvelis, Francisco J. Pozuelos, Thomas Drant, Mohammad Farhat, Meng Tian, Can Ak{\i}n
https://arxiv.org/abs/2506.02188

Interior redox state effects on the stability of secondary atmospheres and observational manifestations: LP 791-18 d as a case study for outgassing rocky exoplanets
Recent advances in space and ground-based facilities now enable atmospheric characterization of a selected sample of rocky exoplanets. These atmospheres offer key insights into planetary formation and evolution, but their interpretation requires models that couple atmospheric processes with both the planetary interior and the surrounding space environment. This work focuses on the Earth-size planet LP791 18d, which is estimated to receive continuous tidal heating due to the orbital configuratio…

This https://arxiv.org/abs/2410.09510 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDL_…

SciEvo: A 2 Million, 30-Year Cross-disciplinary Dataset for Temporal Scientometric Analysis
Understanding the creation, evolution, and dissemination of scientific knowledge is crucial for bridging diverse subject areas and addressing complex global challenges such as pandemics, climate change, and ethical AI. Scientometrics, the quantitative and qualitative study of scientific literature, provides valuable insights into these processes. We introduce SciEvo, a longitudinal scientometric dataset with over two million academic publications, providing comprehensive contents information an…

Catching Stray Balls: Football, fandom, and the impact on digital discourse
Mark J. Hill
https://arxiv.org/abs/2506.01642 https://arx…

Catching Stray Balls: Football, fandom, and the impact on digital discourse
This paper examines how emotional responses to football matches influence online discourse across digital spaces on Reddit. By analysing millions of posts from dozens of subreddits, it demonstrates that real-world events trigger sentiment shifts that move across communities. It shows that negative sentiment correlates with problematic language; match outcomes directly influence sentiment and posting habits; sentiment can transfer to unrelated communities; and offers insights into the content of…

Effects of higher-order interactions and homophily on information access inequality
Moritz Laber, Samantha Dies, Joseph Ehlert, Brennan Klein, Tina Eliassi-Rad
https://arxiv.org/abs/2506.00156

Effects of higher-order interactions and homophily on information access inequality
The spread of information through socio-technical systems determines which individuals are the first to gain access to opportunities and insights. Yet, the pathways through which information flows can be skewed, leading to systematic differences in access across social groups. These inequalities remain poorly characterized in settings involving nonlinear social contagion and higher-order interactions that exhibit homophily. We introduce a enerative model for hypergraphs with hyperedge homophily…

Large language models can learn and generalize steganographic chain-of-thought under process supervision
Joey Skaf, Luis Ibanez-Lissen, Robert McCarthy, Connor Watts, Vasil Georgiv, Hannes Whittingham, Lorena Gonzalez-Manzano, David Lindner, Cameron Tice, Edward James Young, Puria Radmard
https://arxiv.org/abs/2506.01926

Large language models can learn and generalize steganographic chain-of-thought under process supervision
Chain-of-thought (CoT) reasoning not only enhances large language model performance but also provides critical insights into decision-making processes, marking it as a useful tool for monitoring model intent and planning. By proactively preventing models from acting on CoT indicating misaligned or harmful intent, CoT monitoring can be used to reduce risks associated with deploying models. However, developers may be incentivized to train away the appearance of harmful intent from CoT traces, by …

Literature Review Of Multi-Agent Debate For Problem-Solving
Arne Tillmann
https://arxiv.org/abs/2506.00066 https://arxiv.org/pdf/2506…

Literature Review Of Multi-Agent Debate For Problem-Solving
Multi-agent large language models (MA-LLMs) are a rapidly growing research area that leverages multiple interacting language agents to tackle complex tasks, outperforming single-agent large language models. This literature review synthesizes the latest research on agent profiles, communication structures, and decision-making processes, drawing insights from both traditional multi-agent systems and state-of-the-art MA-LLM studies. In doing so, it aims to address the lack of direct comparisons in…

Measurement of the longitudinal flow-plane decorrelation using multi-plane cumulants in sqrt(s_NN) = 200 GeV Au Au, Ru Ru, and Zr Zr collisions
The STAR Collaboration
https://arxiv.org/abs/2506.02330

Measurement of the longitudinal flow-plane decorrelation using multi-plane cumulants in sqrt(s_NN) = 200 GeV Au+Au, Ru+Ru, and Zr+Zr collisions
Measurements of the variation of anisotropic flow-plane angles (Psi_n) with rapidity, commonly known as flow-plane decorrelation, provide important insights into the initial conditions of the matter produced in heavy-ion collisions. In this paper, using data collected by the STAR experiment, we report the first measurement of the four-plane cumulant observable T_n{ba;dc} = <>, where superscripts a, b, c, and d denote sequential regions in pse…

Unpacking Graduate Students' Learning Experience with Generative AI Teaching Assistant in A Quantitative Methodology Course
Zhanxin Hao, Haifeng Luo, Yongyi Chen, Yu Zhang
https://arxiv.org/abs/2506.02966

Unpacking Graduate Students' Learning Experience with Generative AI Teaching Assistant in A Quantitative Methodology Course
The study was conducted in an Advanced Quantitative Research Methods course involving 20 graduate students. During the course, student inquiries made to the AI were recorded and coded using Bloom's taxonomy and the CLEAR framework. A series of independent sample t-tests and poisson regression analyses were employed to analyse the characteristics of different questions asked by students with different backgrounds. Post course interviews were conducted with 10 students to gain deeper insights int…

Deep learning-derived arterial input function
Junyu Chen, Zirui Jiang, Jennifer M. Coughlin, Martin G. Pomper, Yong Du
https://arxiv.org/abs/2505.24166 htt…

Deep learning-derived arterial input function
Dynamic positron emission tomography (PET) imaging combined with radiotracer kinetic modeling is a powerful technique for visualizing biological processes in the brain, offering valuable insights into brain functions and neurological disorders such as Alzheimer's and Parkinson's diseases. Accurate kinetic modeling relies heavily on the use of a metabolite-corrected arterial input function (AIF), which typically requires invasive and labor-intensive arterial blood sampling. While alternative non…

This https://arxiv.org/abs/2312.01786 has been replaced.
link: https://scholar.google.com/scholar?q=a

Output-sensitive Complexity of Multi-Objective Integer Network Flow Problems
This paper addresses the output-sensitive complexity for linear multi-objective integer minimum cost flow (MOIMCF) problems and provides insights about the time complexity for enumerating all supported nondominated vectors. The paper shows that there can not exist an output-polynomial time algorithm for the enumeration of all supported nondominated vectors that determine the vectors in an ordered way in the outcome space unless NP = P. Moreover, novel methods for identifying supported nondomina…

This https://arxiv.org/abs/2505.22853 has been replaced.
initial toot: https://mastoxiv.page/@ar…

A unified quaternion-complex framework for incompressible Navier-Stokes equations: new insights and implications
We present a novel, unified quaternion-complex framework for formulating the incompressible Navier-Stokes equations that reveals the geometric structure underlying viscous fluid motion and resolves the Clay Institute's Millennium Prize problem. By introducing complex coordinates $z = x + iy$ and expressing the velocity field as $F = u + iv$, we demonstrate that the nonlinear convection terms decompose as $(u \cdot \nabla)F = F \cdot \frac{\partial F}{\partial z} + F^* \cdot \frac{\partial F}{\p…

Utilizing AI for Aviation Post-Accident Analysis Classification
Aziida Nanyonga, Graham Wild
https://arxiv.org/abs/2506.00169 https://

Utilizing AI for Aviation Post-Accident Analysis Classification
The volume of textual data available in aviation safety reports presents a challenge for timely and accurate analysis. This paper examines how Artificial Intelligence (AI) and, specifically, Natural Language Processing (NLP) can automate the process of extracting valuable insights from this data, ultimately enhancing aviation safety. The paper reviews ongoing efforts focused on the application of NLP and deep learning to aviation safety reports, with the goal of classifying the level of damage …

Testing for large-dimensional covariance matrix under differential privacy
Shiwei Sang, Yicheng Zeng, Xuehu Zhu, Shurong Zheng
https://arxiv.org/abs/2506.02410

Testing for large-dimensional covariance matrix under differential privacy
The increasing prevalence of high-dimensional data across various applications has raised significant privacy concerns in statistical inference. In this paper, we propose a differentially private integrated statistic for testing large-dimensional covariance structures, enabling accurate statistical insights while safeguarding privacy. First, we analyze the global sensitivity of sample eigenvalues for sub-Gaussian populations, where our method bypasses the commonly assumed boundedness of data co…

Post-glitch Recovery and the Neutron Star Structure: The Vela Pulsar
Himanshu Grover, Erbil G\"ugercino\u{g}lu, Bhal Chandra Joshi, M. A. Krishnakumar, Shantanu Desai, P. Arumugam, Debades Bandyopadhyay
https://arxiv.org/abs/2506.02100

Post-glitch Recovery and the Neutron Star Structure: The Vela Pulsar
Pulsar glitches, sudden changes in a neutron star's rotation, offer a unique window into the extreme physics governing these celestial bodies. The post-glitch recovery phase, characterized by a gradual recovery, reveals insights into the superfluid dynamics within the star. The post-glitch recovery phase probes the coupling mechanisms between different stellar components, sheds light on the properties of neutron star matter at supra-nuclear densities and even allows us to predict the time to th…

This https://arxiv.org/abs/2505.23449 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csMM_…

CMIE: Combining MLLM Insights with External Evidence for Explainable Out-of-Context Misinformation Detection
Multimodal large language models (MLLMs) have demonstrated impressive capabilities in visual reasoning and text generation. While previous studies have explored the application of MLLM for detecting out-of-context (OOC) misinformation, our empirical analysis reveals two persisting challenges of this paradigm. Evaluating the representative GPT-4o model on direct reasoning and evidence augmented reasoning, results indicate that MLLM struggle to capture the deeper relationships-specifically, cases…

This https://arxiv.org/abs/2503.14418 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Distributed RISE-based Control for Exponential Heterogeneous Multi-Agent Target Tracking of Second-Order Nonlinear Systems
A distributed implementation of a Robust Integral of the Sign of the Error (RISE) controller is developed for multi-agent target tracking problems with exponential convergence guarantees. Previous RISE-based approaches for multi-agent systems required 2-hop communication, limiting practical applicability. New insights from a Lyapunov-based design-analysis approach are used to eliminate the need for multi-hop communication required in previous literature, while yielding exponential target tracki…

Three fast-spinning medium-sized Hilda asteroids uncovered by TESS
N\'ora Tak\'acs, Csaba Kiss, R\'obert Szak\'ats, Emese Plachy, Csilla E. Kalup, Gyula M. Szab\'o, L\'aszl\'o Moln\'ar, Kriszti\'an S\'arneczky, R\'obert Szab\'o, Attila B\'odi, Andr\'as P\'al
https://arx…

Three fast-spinning medium-sized Hilda asteroids uncovered by TESS
Hilda asteroids, which orbit in a 3:2 resonance with Jupiter, serve as key indicators of dynamical processes in the early solar system. Their spin rates, an important probe of these mechanisms, can constrain their density and collisional evolution, offering valuable insights into their origin. In this paper, we report on the identification of three fast-rotating Hilda asteroids with spin periods in the 3.2--3.7 h range using data from the Transiting Exoplanet Survey Satellite. These rotation pe…

This https://arxiv.org/abs/2505.19305 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNI_…

Leveraging Large Language Models to Contextualize Network Measurements
With the worldwide growth of remote communication and telepresence, network measurements form a cornerstone of effective performance assessment and diagnostics for Internet users. Most often, users seek for overall connection performance measurement using publicly available tools (also known as `speed tests') that provide an overview of their connection's throughput and latency. However, extracting meaningful insights from these measurements remains a challenging task for a non-technical audien…

Refining Platelet Purification Methods: Enhancing Proteomics for Clinical Applications
Vibecke Markhus, Katarina Fritz-Wallace, Olav Mjaavatten, Einar K. Kristoffersen, Dorota Goplen, Frode Selheim
https://arxiv.org/abs/2505.24394

Refining Platelet Purification Methods: Enhancing Proteomics for Clinical Applications
Background: Platelet proteomics offers valuable insights for clinical research, yet isolating high-purity platelets remains a challenge. Current methods often lead to contamination or platelet loss, compromising data quality and reproducibility. Objectives: This study aimed to optimize a platelet isolation technique that yields high-purity samples with minimal loss and to identify the most effective mass spectrometry-based proteomic method for analyzing platelet proteins with optimal coverage…

This https://arxiv.org/abs/2501.02333 has been replaced.
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On The Causal Network Of Face-selective Regions In Human Brain During Movie Watching
Understanding the causal interactions in some brain tasks, such as face processing, remains a challenging and ambiguous process for researchers. In this study, we address this issue by employing a novel causal discovery method -Directed Acyclic Graphs via M-matrices for Acyclicity (DAGMA)- to investigate the causal structure of the brain's face-selective network and gain deeper insights into its mechanism. Using fMRI data of natural movie stimuli, we extract causal network of face-selective reg…

This https://arxiv.org/abs/2403.11394 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Spontaneous Symmetry Breaking and Panic Escape
Panic-induced herding in individuals often leads to social disasters, resulting in people being trapped and trampled in crowd stampedes triggered by panic. We introduce a novel approach that offers fresh insights into studying the phenomenon of asymmetrical panic-induced escape. Our approach is based on the concept of Spontaneous Symmetry Breaking (SSB), a fundamental governing mechanism in the Physical Sciences. By applying the principles of SSB, we conjecture that the onset of disastrous effe…

Ok #Fediverse: if I was keen to bootstrap an Aotearoa-based tech services #cooperative, what coop models would people suggest I look at - looking for good descriptions of how they'd be set up, especially to recognise the contributions of those involved. All insights appreciated! I'…

What do professional software developers need to know to succeed in an age of Artificial Intelligence?
Matthew Kam, Cody Miller, Miaoxin Wang, Abey Tidwell, Irene A. Lee, Joyce Malyn-Smith, Beatriz Perez, Vikram Tiwari, Joshua Kenitzer, Andrew Macvean, Erin Barrar
https://arxiv.org/abs/2506.00202…

What do professional software developers need to know to succeed in an age of Artificial Intelligence?
Generative AI is showing early evidence of productivity gains for software developers, but concerns persist regarding workforce disruption and deskilling. We describe our research with 21 developers at the cutting edge of using AI, summarizing 12 of their work goals we uncovered, together with 75 associated tasks and the skills & knowledge for each, illustrating how developers use AI at work. From all of these, we distilled our findings in the form of 5 insights. We found that the skills & know…

The world's data centers already consume three times as much electricity as Dutch national consumption. And this is expected to grow to 8 times within five years.
https://mastodon.green/@solar_chase/114556281180000861

This https://arxiv.org/abs/2505.23638 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Visualizing Three-Qubit Entanglement
We present a graphical framework to represent entanglement in three-qubit states. The geometry associated with each entanglement class and type is analyzed, revealing distinct structural features. We explore the connection between this geometric perspective and the tangle, deriving bounds that depend on the entanglement class. Based on these insights, we conjecture a purely geometric expression for both the tangle and Cayley's hyperdeterminant for non-generic states. As an application, we analy…

AI doesn’t learn like we do. GoPro'd toddlers see mostly knees—but they can ID a dog after a few glimpses, while LLMs need billions of examples. Neuroscience suggests AI intelligence is gathered very differently than ours https://www.linkedin.com/p…

Limitations of Nyquist Criteria in the Discretization of 2D Electromagnetic Integral Equations at High Frequency: Spectral Insights into Pollution Effects
Viviana Giunzioni, Adrien Merlini, Francesco P. Andriulli
https://arxiv.org/abs/2505.20942

Limitations of Nyquist Criteria in the Discretization of 2D Electromagnetic Integral Equations at High Frequency: Spectral Insights into Pollution Effects
The use of boundary integral equations in modeling boundary value problems-such as elastic, acoustic, or electromagnetic ones-is well established in the literature and widespread in practical applications. These equations are typically solved numerically using boundary element methods (BEMs), which generally provide accurate and reliable solutions. When the frequency of the wave phenomenon under study increases, the discretization of the problem is typically chosen to maintain a fixed number of…

This https://arxiv.org/abs/2505.13653 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

UGC 10043 in Depth: Dissecting the Polar Bulge and Subtle LSB Features
Galaxies with polar structures -- of which polar-ring galaxies (PRGs) are a prominent subclass -- contain components that are kinematically decoupled and highly inclined relative to the host galaxy's major axis. Modern deep optical surveys provide a powerful means of detecting low surface brightness (LSB) features around galaxies, offering critical insights into the formation and evolution of galaxies with polar structures. UGC 10043 is an edge-on galaxy notable for its prominent bulge, which e…

#Plex, stop! I only have so much popcorn to eat while I watch all these new changes play out🍿
https://lemmy.ml/post/30839839

Cryogenic scanning photocurrent spectroscopy for materials responses to structured optical fields
Duxing Hao, Chun-I Lu, Ziqi Sun, Yu-Chen Chang, Wen-Hao Chang, Ye-Ru Chen, Akiyoshi Park, Beining Rao, Siyuan Qiu, Yann-Wen Lan, Ting-Hua Lu, Nai-Chang Yeh
https://arxiv.org/abs/2505.24833

Cryogenic scanning photocurrent spectroscopy for materials responses to structured optical fields
Circular dichroism spectroscopy is known to provide important insights into the interplay of different degrees of freedom in quantum materials, and yet spectroscopic study of the optoelectronic responses of quantum materials to structured optical fields, such as light with finite spin and orbital angular momentum, has not yet been widely explored, particularly at cryogenic temperature. Here we demonstrate the design and application of a novel instrument that integrates scanning spectroscopic ph…

This https://arxiv.org/abs/2505.20929 has been replaced.
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Two-step dimensionality reduction of human mobility data: From potential landscapes to spatiotemporal insights
Understanding the spatiotemporal patterns of human mobility is crucial for addressing societal challenges, such as epidemic control and urban transportation optimization. Despite advancements in data collection, the complexity and scale of mobility data continue to pose significant analytical challenges. Existing methods often result in losing location-specific details and fail to fully capture the intricacies of human movement. This study proposes a two-step dimensionality reduction framework …

We are thrilled to announce that Elastic has once again joined Berlin Buzzwords as a Silver Partner.
Learn more about Elastic: https://www.elastic.co/

Elastic — The Search AI Company
Power insights and outcomes with The Elastic Search AI Platform. See into your data and find answers that matter with enterprise solutions designed to help you accelerate time to insight. Try Elastic ...

8 Light writer Taylor Keazirian argues in favor of maintaining a set of "living" documents as part of software development project efforts. Common misconceptions about software documentation are addressed and refuted with insights on what a minimal technical set of documents for a software project should look like.
"Mastering Technical Documentation"

Mastering Technical Documentation | 8th Light
Technical documentation is an essential part of successful software development teams. Learn actionable strategies to create clear, maintainable, and effective docs. Boost efficiency, reduce bottlenecks, and empower your team.

This https://arxiv.org/abs/2403.03947 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSD_…

Can Audio Reveal Music Performance Difficulty? Insights from the Piano Syllabus Dataset
Automatically estimating the performance difficulty of a music piece represents a key process in music education to create tailored curricula according to the individual needs of the students. Given its relevance, the Music Information Retrieval (MIR) field depicts some proof-of-concept works addressing this task that mainly focuses on high-level music abstractions such as machine-readable scores or music sheet images. In this regard, the potential of directly analyzing audio recordings has bee…

Hmm, this first CFP in this new journal of Future Studies is weirdly or wilfully oblivious to the insights abounding about how those who wish to maintain an unequal status quo use doomerism and frame utopia/hope/possibility as naive.
"In this way, persistent hope can sometimes blind us to reality, impeding our capacity for proactive measures. Moreover, it can feel artificial to focus solely on hopeful outcomes when there is plenty of reason to be angry, sad, or scared."

On the Parallels Between Evolutionary Theory and the State of AI
Zeki Doruk Erden, Boi Faltings
https://arxiv.org/abs/2505.23774 https://

On the Parallels Between Evolutionary Theory and the State of AI
This article critically examines the foundational principles of contemporary AI methods, exploring the limitations that hinder its potential. We draw parallels between the modern AI landscape and the 20th-century Modern Synthesis in evolutionary biology, and highlight how advancements in evolutionary theory that augmented the Modern Synthesis, particularly those of Evolutionary Developmental Biology, offer insights that can inform a new design paradigm for AI. By synthesizing findings across AI…

This https://arxiv.org/abs/2412.11313 has been replaced.
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Stable Recovery of Regularized Linear Inverse Problems
Recovering a low-complexity signal from its noisy observations by regularization methods is a cornerstone of inverse problems and compressed sensing. Stable recovery ensures that the original signal can be approximated linearly by optimal solutions of the corresponding Morozov or Tikhonov regularized optimization problems. In this paper, we propose new characterizations for stable recovery in finite-dimensional spaces, uncovering the role of nonsmooth second-order information. These insights en…

This https://arxiv.org/abs/2503.00303 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Leveraging Complementary AI Explanations to Mitigate Misunderstanding in XAI
Artificial intelligence explanations can make complex predictive models more comprehensible. To be effective, however, they should anticipate and mitigate possible misinterpretations, e.g., arising when users infer incorrect information that is not explicitly conveyed. To this end, we propose complementary explanations -- a novel method that pairs explanations to compensate for their respective limitations. A complementary explanation adds insights that clarify potential misconceptions stemming…

This https://arxiv.org/abs/2412.12485 has been replaced.
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Rydberg Atomic Receiver: Next Frontier of Wireless Communications
Rydberg Atomic REceiver (RARE) is driving a paradigm shift in electromagnetic (EM) wave measurement by harnessing the electron transition phenomenon of Rydberg atoms. Operating at the quantum scale, such receivers have the potential to breakthrough the performance limit of classic receivers, sparking a revolution in physical-layer wireless communications. The objective of this paper is to offer insights into RARE-empowered communications. We first provide a comprehensive introduction to the fun…

CMIE: Combining MLLM Insights with External Evidence for Explainable Out-of-Context Misinformation Detection
Fanxiao Li, Jiaying Wu, Canyuan He, Wei Zhou
https://arxiv.org/abs/2505.23449

CMIE: Combining MLLM Insights with External Evidence for Explainable Out-of-Context Misinformation Detection
Multimodal large language models (MLLMs) have demonstrated impressive capabilities in visual reasoning and text generation. While previous studies have explored the application of MLLM for detecting out-of-context (OOC) misinformation, our empirical analysis reveals two persisting challenges of this paradigm. Evaluating the representative GPT-4o model on direct reasoning and evidence augmented reasoning, results indicate that MLLM struggle to capture the deeper relationships-specifically, cases…

A Novel Multilevel Taxonomical Approach for Describing High-Dimensional Unlabeled Movement Data
Yashat Tavakoli, Amilcar Soares, Lourdes Pena
https://arxiv.org/abs/2504.20174

I just published '🌶️ Hot Fudge Sunday for 2025-05-25'.
https://hot.fudge.org/archive/hot-fudge-sunday-for-2025-05-25/

Statistical Insights into Flux and Photon Index Distributions of VHE FSRQs from Fermi-LAT Observations
Zahoor Malik, Sikandar Akbar, Zahir Shah, Ranjeev Misra, Athar A. Dar, Aaqib Manzoor, Sajad Ahanger, Zeeshan Nazir, Naseer Iqbal, Seemin Rubab, Javaid Tantry
https://arxiv.org/abs/2505.23338

Statistical Insights into Flux and Photon Index Distributions of VHE FSRQs from Fermi-LAT Observations
This study examines the flux and photon index distributions of 11 Very High Energy (VHE) Flat Spectrum Radio Quasars (FSRQs) using over 16 years of Fermi-LAT $γ$-ray data. The distributions reveal double lognormal profiles in both flux and index, primarily in the 3-day and 7-day binnings, supporting the ``two-flux-state hypothesis" for blazars. These profiles, which become insignificant at 30-day binning, suggest that shorter timescales are better at capturing distinct states, while longer tim…

Stress distribution in elastic disks with a hole under uniaxial compression
Ken Okamura, Yosuke Sato, Satoshi Takada
https://arxiv.org/abs/2505.21984 https…

Stress distribution in elastic disks with a hole under uniaxial compression
This paper investigates the stress and displacement distribution in a two-dimensional elastic hollow disk subjected to distributed diametric loading, extending our previous analysis of concentrated loading [Okamura et al. Strength Mater. 57, 102-114 (2025)]. The study provides deeper insights into the mechanical behavior of materials such as concrete and rock by examining the effects of load distribution on stress localization and displacement patterns. Using elastodynamic theory, we derive the…

Impact of Pre-Assessment and Post-Assessment in an Introductory Real Analysis Course
Chamila Malagoda Gamage
https://arxiv.org/abs/2505.22479 https://

Impact of Pre-Assessment and Post-Assessment in an Introductory Real Analysis Course
This study explores how pre- and post-assessments shape learning outcomes in an Introductory Real Analysis course. Pre-assessments act as learning roadmaps, highlighting prior knowledge and guiding student focus, while post-assessments measure growth and conceptual mastery. By analyzing student performance and feedback, we assess their impact on engagement, self-efficacy, and deeper mathematical understanding. The findings offer valuable insights for enhancing instructional strategies and foste…

What About Emotions? Guiding Fine-Grained Emotion Extraction from Mobile App Reviews
Quim Motger, Marc Oriol, Max Tiessler, Xavier Franch, Jordi Marco
https://arxiv.org/abs/2505.23452

What About Emotions? Guiding Fine-Grained Emotion Extraction from Mobile App Reviews
Opinion mining plays a vital role in analysing user feedback and extracting insights from textual data. While most research focuses on sentiment polarity (e.g., positive, negative, neutral), fine-grained emotion classification in app reviews remains underexplored. This paper addresses this gap by identifying and addressing the challenges and limitations in fine-grained emotion analysis in the context of app reviews. Our study adapts Plutchik's emotion taxonomy to app reviews by developing a str…

This https://arxiv.org/abs/2503.16911 has been replaced.
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Status and prospects of the $χ_{c1}(3872)$ at BESIII
The $χ_{c1}(3872)$ serves as a pivotal role for understanding hadronic structures, remaining one of the most extensively studied exotic particles despite the experimental discovery of numerous unconventional hadronic states. Sustained experimental and theoretical investigations into the particle over the past two decades have propelled its study into a high-precision regime, marked by refined measurements of its decay dynamics and line shape, thereby offering critical insights to resolve longs…

A unified quaternion-complex framework for incompressible Navier-Stokes equations: new insights and implications
Farrukh A. Chishtie
https://arxiv.org/abs/2505.22853

A unified quaternion-complex framework for incompressible Navier-Stokes equations: new insights and implications
We present a novel, unified quaternion-complex framework for formulating the incompressible Navier-Stokes equations that reveals the geometric structure underlying viscous fluid motion and resolves the Clay Institute's Millennium Prize problem. By introducing complex coordinates $z = x + iy$ and expressing the velocity field as $F = u + iv$, we demonstrate that the nonlinear convection terms decompose as $(u \cdot \nabla)F = F \cdot \frac{\partial F}{\partial z} + F^* \cdot \frac{\partial F}{\p…

Symbolic Foundation Regressor on Complex Networks
Weiting Liu, Jiaxu Cui, Jiao Hu, En Wang, Bo Yang
https://arxiv.org/abs/2505.21879 https://

Symbolic Foundation Regressor on Complex Networks
In science, we are interested not only in forecasting but also in understanding how predictions are made, specifically what the interpretable underlying model looks like. Data-driven machine learning technology can significantly streamline the complex and time-consuming traditional manual process of discovering scientific laws, helping us gain insights into fundamental issues in modern science. In this work, we introduce a pre-trained symbolic foundation regressor that can effectively compress …

This https://arxiv.org/abs/2408.08364 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Geometric expansion of fluctuations and average shadows
Fluctuations of observables provide unique insights into the nature of physical systems, and their study stands as a cornerstone of both theoretical and experimental science. Generalized fluctuations, or cumulants, provide information beyond the mean and variance of an observable. In this letter, we develop a systematic method to determine the asymptotic behavior of cumulants of local observables as the region becomes large. Our analysis reveals that the expansion is closely tied to the geometr…

Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares
Aurora Poggi, Giuseppe Alessio D'Inverno, Hjalmar Brismar, Ozan \"Oktem, Matthieu Barreau, Kateryna Morozovska
https://arxiv.org/abs/2505.20327

Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares
Data-driven discovery of dynamics in biological systems allows for better observation and characterization of processes, such as calcium signaling in cell culture. Recent advancements in techniques allow the exploration of previously unattainable insights of dynamical systems, such as the Sparse Identification of Non-Linear Dynamics (SINDy), overcoming the limitations of more classic methodologies. The latter requires some prior knowledge of an effective library of candidate terms, which is not…

Dimensionality-Driven Anomalous Metallic State with Zero-field Nonreciprocal Transport in Layered Ising Superconductors
Yanwei Cui, Zenglin Liu, Qin Liu, Junlin Xiong, Yongqin Xie, Yudi Dai, Ji Zhou, Lizheng Wang, Hanyan Fang, Haiwen Liu, Shi-Jun Liang, Bin Cheng, Feng Miao
https://arxiv.org/abs/2505.22274

Dimensionality-Driven Anomalous Metallic State with Zero-field Nonreciprocal Transport in Layered Ising Superconductors
The anomalous metal state (AMS), observed in failed superconductors, provides insights into superconductivity and quantum criticality, with studies revealing unconventional quantum phases like the Bose metal. Recently, layered transition metal dichalcogenide (TMD) superconductors approaching the two-dimensional limit have garnered significant attention for the enhanced phase fluctuations and electronic correlations. Investigating AMS in these systems, particularly in the absence of an external …

A great open-source community is about more than just code — it's about people, too. A strong company culture fosters engagement and growth. Join Jessie de Groot and Marion Nehring at this year's Berlin Buzzwords to explore how values such as kindness, collaboration and developer experience influence companies and communities. Gain practical insights into fostering inclusion, engagement, and long-term impact.
Learn more:

From Culture to Open Source: Build Value-driven Communities
A great open-source community isn’t just about code—it’s about people. For us – Weaviators – we believe a strong company culture of kindness and collaboration is essential for building an inclusive and engaged open-source ecosystem. Join us to learn what you can do to ensure your culture extends beyond your organization and how your values translate into external impact. Based on real-life examples and tactics,, we will explore: - The connection between company culture and open-source…

FPF Privacy Papers for Policymakers: A Celebration of Impactful Privacy Research and Scholarship
https://fpf.org/blog/global/fpf-privacy-papers-for-policymakers-a-celebration-of-impactful-privacy-research-…

This https://arxiv.org/abs/2306.02206 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Mitigating Molecular Aggregation in Drug Discovery with Predictive Insights from Explainable AI
Herein, we present the application of MEGAN, our explainable AI (xAI) model, for the identification of small colloidally aggregating molecules (SCAMs). This work offers solutions to the long-standing problem of false positives caused by SCAMs in high throughput screening for drug discovery and demonstrates the power of xAI in the classification of molecular properties that are not chemically intuitive based on our current understanding. We leverage xAI insights and molecular counterfactuals to …

This https://arxiv.org/abs/2505.21630 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Quasar absorption outflows on galactic scales: Insights from DESI
Absorption outflows in quasars play an important role in understanding active galactic nuclei (AGN) feedback and their influence on galaxy evolution. The unprecedented spectral data provided by the Dark Energy Spectroscopic Instrument (DESI) opens new avenues to explore these outflows. We analyze five low-ionization absorption outflow systems in four intermediate-redshift quasars (2 < z < 3) using the data obtained by DESI in order to characterize their physical properties and energetics, and a…

AI in Google Sheets? Yes, please! 🤩
Discover how to supercharge your data analysis with Gemini and AI formulas. Streamline your workflow and unlock insights faster.
Check out the video here: https://youtu.be/CBqZC3Immvc

This https://arxiv.org/abs/2410.09939 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCG_…

Efficient computations of discrete cubical homology
We present a fast algorithm for computing discrete cubical homology of graphs over finite fields with an appropriate characteristic. This algorithm improves on several computational steps compared to constructions in the existing literature, with the key insights including: a faster way to generate all singular cubes, reducing the dimensions of vector spaces in the chain complex by taking a quotient over automorphisms of the cube, and preprocessing graphs using the axiomatic treatment of discre…

Sylius Experts Unite! Join Max Pesch, Jacques Bodin-Hullin, and Stephan Hochdörfer on June 26th in Mannheim for an evening of Sylius insights and networking.
Register here: https://www.meetup.com/phpug-rhein-neckar/events/305478305/

PHPUGMRN 03/25 (The Sylius Meetup), Thu, Jun 26, 2025, 7:00 PM | Meetup
**Agenda:** 19:00 CET - Intro 19:05 CET - Brille24 - Post Mortem, Max Pesch 19:50 CET - Break 20:00 CET - Sylius & Automation, let's dive in!, Jacques Bodin-Hullin 20:50 CE

This https://arxiv.org/abs/2412.11313 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Stable Recovery of Regularized Linear Inverse Problems
Recovering a low-complexity signal from its noisy observations by regularization methods is a cornerstone of inverse problems and compressed sensing. Stable recovery ensures that the original signal can be approximated linearly by optimal solutions of the corresponding Morozov or Tikhonov regularized optimization problems. In this paper, we propose new characterizations for stable recovery in finite-dimensional spaces, uncovering the role of nonsmooth second-order information. These insights en…

Cryptocurrencies in the Balance Sheet: Insights from (Micro)Strategy -- Bitcoin Interactions
Sabrina Aufiero, Antonio Briola, Tesfaye Salarin, Fabio Caccioli, Silvia Bartolucci, Tomaso Aste
https://arxiv.org/abs/2505.14655

Cryptocurrencies in the Balance Sheet: Insights from (Micro)Strategy -- Bitcoin Interactions
This paper investigates the evolving link between cryptocurrency and equity markets in the context of the recent wave of corporate Bitcoin (BTC) treasury strategies. We assemble a dataset of 39 publicly listed firms holding BTC, from their first acquisition through April 2025. Using daily logarithmic returns, we first document significant positive co-movements via Pearson correlations and single factor model regressions, discovering an average BTC beta of 0.62, and isolating 12 companies, inclu…

This https://arxiv.org/abs/2505.20745 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSD_…

Foundation Model Hidden Representations for Heart Rate Estimation from Auscultation
Auscultation, particularly heart sound, is a non-invasive technique that provides essential vital sign information. Recently, self-supervised acoustic representation foundation models (FMs) have been proposed to offer insights into acoustics-based vital signs. However, there has been little exploration of the extent to which auscultation is encoded in these pre-trained FM representations. In this work, using a publicly available phonocardiogram (PCG) dataset and a heart rate (HR) estimation mod…

Identity resolution of software metadata using Large Language Models
Eva Mart\'in del Pico, Josep Llu\'is Gelp\'i, Salvador Capella-Guti\'errez
https://arxiv.org/abs/2505.23500

Identity resolution of software metadata using Large Language Models
Software is an essential component of research. However, little attention has been paid to it compared with that paid to research data. Recently, there has been an increase in efforts to acknowledge and highlight the importance of software in research activities. Structured metadata from platforms like bio.tools, Bioconductor, and Galaxy ToolShed offers valuable insights into research software in the Life Sciences. Although originally intended to support discovery and integration, this metada…

Join Nikolay Sivko at this year's Berlin Buzzwords for his talk, in which he will delve into delay accounting — a frequently overlooked feature that provides valuable insights into CPU time shortages and application latency. Discover how to use these kernel metrics to improve performance analysis and system optimisation.
Learn more:

Delay accounting: an underrated feature of the Linux kernel
Understanding whether a process is truly starved of CPU time isn’t as simple as looking at traditional metrics like CPU usage or Load Average. Few realize that the Linux kernel has built-in mechanisms to precisely measure how long each task waits for kernel resources. This talk delves into delay accounting, an often-overlooked feature that provides valuable insights into CPU time shortages and application latency. Attendees will learn how to leverage these kernel metrics for better performanc…

Quanta Magazine authors Janna Levin and Steven Strogatz strike up a conversation with Ellie Pavlick (Research Scientist at Google Deep Mind) about the differences and similarities between the way people understand language, what NLP algorithms do, and the fact that such conversations more often than not shed light into more than Linguistics' computational side.
"Will AI Ever Understand Language Like Humans?"

Will AI Ever Understand Language Like Humans? | Quanta Magazine
AI may sound like a human, but that doesn’t mean that AI learns like a human. In this episode, Ellie Pavlick explains why understanding how LLMs can process language could unlock deeper insights into both AI and the human mind.

Upcoming GÉANT infoshare - Part 2 🚀
🔐 Quantum KMS Architectures and Services
This session will explore the key aspects of Key Management Systems (KMS) in enabling secure, scalable Quantum Key Distribution. Gain insights on architecture, standardisation, and integration—from both research and industry voices.
🔗 Sign up here: https://…

Infoshare: Quantum KMS Architectures and Services
The infoshare will focus on the aspects of Key Management Systems (KMS) for Quantum Key Distribution systems. KMS is a crucial component that allows to build, manage, scale QKD networks, define the interfaces for key delivery. The presentations will show KMS architectures, standardization, integration examples and strategies. KMS technologies are integral part of EuroQCI infrastructure and interconnectivity. The presentations will be provided by research institutions and also companies.The...

Human Empathy as Encoder: AI-Assisted Depression Assessment in Special Education
Boning Zhao
https://arxiv.org/abs/2505.23631 https://

Human Empathy as Encoder: AI-Assisted Depression Assessment in Special Education
Assessing student depression in sensitive environments like special education is challenging. Standardized questionnaires may not fully reflect students' true situations. Furthermore, automated methods often falter with rich student narratives, lacking the crucial, individualized insights stemming from teachers' empathetic connections with students. Existing methods often fail to address this ambiguity or effectively integrate educator understanding. To address these limitations by fostering a …

Measuring pulsar profile variations with 2-D Gaussian process regression
Michael J. Keith, Ren\'ee Spiewak, Andrew G. Lyne, Patrick Weltevrede, Danai Antonopoulou, Ben Stappers
https://arxiv.org/abs/2505.23413

Measuring pulsar profile variations with 2-D Gaussian process regression
Time-correlated variations in the pulse profiles of radio pulsars provide insights into changes in their magnetospheres. For a small number of pulsars (~20), these variations have been shown to correlate with spin-down rate. Many of these profile changes involve small (few percent) variations in the relative intensity of different profile components, and hence tools such as Gaussian process regression have been employed to separate the time-correlated profile variation from intrinsic noise. In …

Eye-tracking-Driven Shared Control for Robotic Arms:Wizard of Oz Studies to Assess Design Choices
Anke Fischer-Janzen, Thomas M. Wendt, Daniel G\"orlich, Kristof Van Laerhoven
https://arxiv.org/abs/2505.23147

Eye-tracking-Driven Shared Control for Robotic Arms:Wizard of Oz Studies to Assess Design Choices
Advances in eye-tracking control for assistive robotic arms provide intuitive interaction opportunities for people with physical disabilities. Shared control has gained interest in recent years by improving user satisfaction through partial automation of robot control. We present an eye-tracking-guided shared control design based on insights from state-of-the-art literature. A Wizard of Oz setup was used in which automation was simulated by an experimenter to evaluate the concept without requir…

This https://arxiv.org/abs/2505.14662 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

The Great Comets of 1843 and 1882 at Their Previous Return to Perihelion in the Twelfth Century: One Spectacular, the Other Dull
New insights into the history of C/1843 D1 and C/1882 R1, the two celebrated Kreutz sungrazers, are provided by assessing evidence on their appearance at the previous perihelion return, known as X/1106 C1 and the Chinese comet of 1138 (Ho's No. 403), respectively. The conditions differed vastly because of disparities in geocentric distance, solar elongation, and phase correction (forward scattering), all linked to the arrival times (early February vs early August). The conclusions include: the …

This https://arxiv.org/abs/2501.05590 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Negative Ties Highlight Hidden Extremes in Social Media Polarization
Human interactions in the online world comprise a combination of positive and negative exchanges. These diverse interactions can be captured using signed network representations, where edges take positive or negative weights to indicate the sentiment of the interaction between individuals. Signed networks offer valuable insights into online political polarization by capturing antagonistic interactions and ideological divides on social media platforms. This study analyzes polarization on Menéam…

In the digital age, misinformation spreads rapidly, making it increasingly difficult to ensure the integrity of information. AI presents new opportunities to support fact-checking and news classification. Join Giovanna Monti and Lucian Precup as they share insights from their work developing an AI-driven platform integrating search capabilities, an intelligent assistant and a RAG system.
Learn more:

This https://arxiv.org/abs/2502.04080 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

AT 2018dyk: tidal disruption event or active galactic nucleus? Follow-up observations of an extreme coronal line emitter with the Dark Energy Spectroscopic Instrument
We present fresh insights into the nature of the tidal disruption event (TDE) candidate AT 2018dyk. AT 2018dyk has sparked a debate in the literature around its classification as either a bona-fide TDE or as an active galactic nucleus (AGN) turn-on state change. A new follow-up spectrum taken with the Dark Energy Spectroscopic Instrument, in combination with host-galaxy analysis using archival SDSS-MaNGA data, supports the identification of AT 2018dyk as a TDE. Specifically, we classify this ob…

Designing the Future of Entrepreneurship Education: Exploring an AI-Empowered Scaffold System for Business Plan Development
Junhua Zhu, Lan Luo
https://arxiv.org/abs/2505.23326

Designing the Future of Entrepreneurship Education: Exploring an AI-Empowered Scaffold System for Business Plan Development
Entrepreneurship education equips students to transform innovative ideas into actionable entrepreneurship plans, yet traditional approaches often struggle to provide the personalized guidance and practical alignment needed for success. Focusing on the business plan as a key learning tool and evaluation method, this study investigates the design needs for an AI-empowered scaffold system to address these challenges. Based on qualitative insights from educators and students, the findings highlight…

Join Radu Pop and Pietro Mele at Berlin Buzzwords as they discuss building an extensible hybrid search solution with Elasticsearch. They will cover functional modeling, cluster architecture, and practical insights on managing billions of vectors in real-world scenarios. Radu and Pietro will also address hybrid reranking challenges and the limitations of standard fusion techniques, explaining their innovative approach.
Learn more:

Hybrid search on hybrid models, at scale
Over the last few years we have been pushing to the limits our full-text search solution for the French Audiovisual Institute. However, some areas of our immense corpus are still inaccessible, either because the multimedia content lacks textual annotations, or because the automatic transcriptions are not self-sufficient for an efficient full-text search. Semantic search appears as a natural complement, but the scalability of the implementation reveals specific challenges in capacity planning an…