Tootfinder

Singer-songwriter Nemahsis on the importance of being uncompromising
https://thecreativeindependent.com/people/singer…

Singer-songwriter Nemahsis on the importance of being uncompromising – The Creative Independent
Singer-songwriter Nemahsis discusses breaking through despite hardships, freedom of expression, and the power of building a genuine community online

Brian Schottenheimer preaches importance of discipline for Cowboys https://www.si.com/nfl/cowboys/news/brian-schottenheimer-preaches-importance-discipline-dallas-cowboys

Affine invariant interacting Langevin dynamics in Markov chain importance sampling for rare event estimation
Jason Beh, J\'er\^ome Morio, Florian Simatos, Simon Weissmann
https://arxiv.org/abs/2506.20185

Affine invariant interacting Langevin dynamics in Markov chain importance sampling for rare event estimation
This work considers the framework of Markov chain importance sampling~(MCIS), in which one employs a Markov chain Monte Carlo~(MCMC) scheme to sample particles approaching the optimal distribution for importance sampling, prior to estimating the quantity of interest through importance sampling. In rare event estimation, the optimal distribution admits a non-differentiable log-density, thus gradient-based MCMC can only target a smooth approximation of the optimal density. We propose a new gradie…

Time-Sensitive Importance Splitting
Gabriel Dengler, Carlos E. Budde, Laura Carnevali, Arnd Hartmanns
https://arxiv.org/abs/2506.19568 https://

Time-Sensitive Importance Splitting
State-of-the-art methods for rare event simulation of non-Markovian models face practical or theoretical limits if observing the event of interest requires prior knowledge or information on the timed behavior of the system. In this paper, we attack both limits by extending importance splitting with a time-sensitive importance function. To this end, we perform backwards reachability search from the target states, considering information about the lower and upper bounds of the active timers in or…

Here’s what Florida state Sen. Ileana Garcia, a Republican and founder of Latinas for Trump, had to say about ICE’s raids:
This is not what we voted for…
I understand the importance of deporting criminal aliens,
but what we are witnessing are arbitrary measures to hunt down people who are complying with their immigration hearings
— in many cases, with credible fear of persecution claims,
all driven by a Miller-like desire to satisfy a self-fabricated deportation…

David Barton’s Defense of ICE Actions in LA is as Wrong as His History Lessons
David Barton's propaganda on current events is every bit as believable as his Christian nationalist history. 

I second Peter Sjökvist's suggestion and wonder if there is any library catalogue that has such granular identifiers.
From: Sjökvist, P. (2022). »Resource Description and Access (RDA)« – Transcription and the Dilemma of a Rare Materials Cataloger. Bibliothek Und Wissenschaft, 55, 279–285 (p. 284).

The Importance of the Population III Initial Mass Function in Determining the Characteristics of the Earliest Galaxies
Richard Sarmento, Evan Scannapieco
https://arxiv.org/abs/2506.20767

The Importance of the Population III Initial Mass Function in Determining the Characteristics of the Earliest Galaxies
We use large-scale cosmological simulations to study the prospect of observing Population III (Pop III) bright galaxies with the James Webb Space Telescope (JWST). To quantify the impact of radiative transfer (RT), we compare a simulation that includes moment-based RT with one in which RT is handled approximately. Both simulations include a subgrid model of turbulent mixing, which is essential in tracking the formation of Pop III stars. We find that RT has a minor impact on our results and that…

"the operations at the two new Laguna Street sites will be contracted out which means they will no longer be eligible to work with their clients."
Somehow, I get the feeling that the great minds behind this project fail to understand the importance of community and trust.

S.F. plans to move mentally ill adults draws protest
If the city has its way, all 83 residents will be moved to two facilities on Laguna Street in Hayes Valley.

"the operations at the two new Laguna Street sites will be contracted out which means they will no longer be eligible to work with their clients."
Somehow, I get the feeling that the great minds behind this project fail to understand the importance of community and trust.

S.F. plans to move mentally ill adults draws protest
If the city has its way, all 83 residents will be moved to two facilities on Laguna Street in Hayes Valley.

From On-chain to Macro: Assessing the Importance of Data Source Diversity in Cryptocurrency Market Forecasting
Giorgos Demosthenous, Chryssis Georgiou, Eliada Polydorou
https://arxiv.org/abs/2506.21246

From On-chain to Macro: Assessing the Importance of Data Source Diversity in Cryptocurrency Market Forecasting
This study investigates the impact of data source diversity on the performance of cryptocurrency forecasting models by integrating various data categories, including technical indicators, on-chain metrics, sentiment and interest metrics, traditional market indices, and macroeconomic indicators. We introduce the Crypto100 index, representing the top 100 cryptocurrencies by market capitalization, and propose a novel feature reduction algorithm to identify the most impactful and resilient features…

Research by Anthropic how GenAI models blackmail in laboratory situations. Underlines the importance of checks and human oversight.
#AI

Agentic Misalignment: How LLMs could be insider threats
New research on simulated blackmail, industrial espionage, and other misaligned behaviors in LLMs

From Minimax Optimal Importance Sampling to Uniformly Ergodic Importance-tempered MCMC
Quan Zhou
https://arxiv.org/abs/2506.19186 https://

From Minimax Optimal Importance Sampling to Uniformly Ergodic Importance-tempered MCMC
We make two closely related theoretical contributions to the use of importance sampling schemes. First, for independent sampling, we prove that the minimax optimal trial distribution coincides with the target if and only if the target distribution has no atom with probability greater than $1/2$, where "minimax" means that the worst-case asymptotic variance of the self-normalized importance sampling estimator is minimized. When a large atom exists, it should be downweighted by the trial distribu…

Importance of User Control in Data-Centric Steering for Healthcare Experts
Aditya Bhattacharya, Simone Stumpf, Katrien Verbert
https://arxiv.org/abs/2506.18770

Importance of User Control in Data-Centric Steering for Healthcare Experts
As Artificial Intelligence (AI) becomes increasingly integrated into high-stakes domains like healthcare, effective collaboration between healthcare experts and AI systems is critical. Data-centric steering, which involves fine-tuning prediction models by improving training data quality, plays a key role in this process. However, little research has explored how varying levels of user control affect healthcare experts during data-centric steering. We address this gap by examining manual and aut…

- We investigate the distribution of the feature variables (corpus frequency, dictionary views, part-of-speech, polysemy) over CEFR levels.
- Variable importance analyses show us how important each variable was for the classification of each level.
We conclude: "Thus, our semi-automatic approach offers a practical solution to the limitations of existing CEFR lists, providing a framework for expanding these lists in a systematic and data-driven manner. However, our findings also reveal the importance of human oversight in the process."
Supplementary material contains an ensemble approach to classification and all used/generated data: https://osf.io/6s9y7/

Ultrafast photocurrent detection reveals that device efficiency is dominated by ultrafast exciton dissociation not exciton diffusion
Zachary M. Faitz, Chris J. Blackwell, Dasol Im, Abitha Dhavamani, Michael Arnold, Martin T. Zanni
https://arxiv.org/abs/2506.21402

Ultrafast photocurrent detection reveals that device efficiency is dominated by ultrafast exciton dissociation not exciton diffusion
Excitons diffusing to a charge-separating interface is a necessary step to convert energy into current in next-generation photovoltaics. In this report, made possible by a new ultrafast spectrometer design, we compare exciton dynamics measured using both photoabsorption- and photocurrent-detected transient and 2D spectroscopies. For a device with semiconducting carbon nanotubes as the exciton transport material, we find that photoabsorption detection greatly overestimates the importance of long…

Staggered nonlinear spin generations in centrosymmetric altermagnets under electric current
Jie Zhang, Ruijing Fang, Zhichao Zhou, Xiao Li
https://arxiv.org/abs/2506.20298

Staggered nonlinear spin generations in centrosymmetric altermagnets under electric current
Current-induced spin generations are of significant importance for electrically controllable magnetization. Due to symmetry constraints, linear spin generation is absent in centrosymmetric magnets and nonlinear contributions become crucial. However, nonlinear spin generations have few examples in centrosymmetric compensated magnets with opposite-spin sublattices, which hinders electric control of associated magnetization. Here, we study nonlinear spin generations in altermagnets with opposite-s…

Advancing global sea ice prediction capabilities using a fully-coupled climate model with integrated machine learning
William Gregory, Mitchell Bushuk, Yong-Fei Zhang, Alistair Adcroft, Laure Zanna, Colleen McHugh, Liwei Jia
https://arxiv.org/abs/2505.18328

Advancing global sea ice prediction capabilities using a fully-coupled climate model with integrated machine learning
We showcase a hybrid modeling framework which embeds machine learning (ML) inference into the GFDL SPEAR climate model, for online sea ice bias correction during a set of global fully-coupled 1-year retrospective forecasts. We compare two hybrid versions of SPEAR to understand the importance of exposing ML models to coupled ice-atmosphere-ocean feedbacks before implementation into fully-coupled simulations: Hybrid_CPL (with feedbacks) and Hybrid_IO (without feedbacks). Relative to SPEAR, Hybrid…

Noncontextual Pauli Hamiltonians
Alexis Ralli, Tim Weaving, Peter J. Love
https://arxiv.org/abs/2506.19778 https://arxiv.org/pdf/2506…

Noncontextual Pauli Hamiltonians
Contextuality is a key feature of quantum mechanics, and identification of noncontextual subtheories of quantum mechanics is of both fundamental and practical importance. Recently, noncontextual Pauli Hamiltonians have been defined in the setting of variational quantum algorithms. In this work we rigorously establish a number of properties of noncontextual Pauli Hamiltonians. We prove that these Hamiltonians can be composed of more Pauli operators than diagonal Hamiltonians. This establishes th…

Geometric Shape Modelling and Volume Estimation of Dry Bulk Cargo Piles using a Single Image
Debanshu Ratha, Madhu Koirala, P{\aa}l Gunnar Ellingsen
https://arxiv.org/abs/2505.17896

Geometric Shape Modelling and Volume Estimation of Dry Bulk Cargo Piles using a Single Image
Volume estimation of onshore cargo piles is of economic importance for shipping and mining companies as well as public authorities for real-time planning of logistics, business intelligence, transport services by land or sea and governmental oversight. In remote sensing literature, the volume of pile is estimated by relying on the illumination property of object to construct the geometric shape from a single image, alternatively, stereographic imaging for construction of a digital elevation mod…

A novel plate-type phononic crystal for efficient vibration and noise attenuation performance
Hao Zhu, Kai Zhao
https://arxiv.org/abs/2506.20266 https://…

A novel plate-type phononic crystal for efficient vibration and noise attenuation performance
Mitigating low-frequency vibration or noise is of vital importance to both human health and mechanical engineering. Two-dimensional phononic crystal (PC) structures were proposed by attaching rubber and metallic cylinders on one or both sides of a thin plate to attenuate low-frequency vibration via the local resonance mechanism. The finite element method was employed to evaluate the band structure and associated vibration modes of the proposed PC structures. It was found that the bandgap of the…

End-to-End Learning of Probabilistic Constellation Shaping through Importance Sampling
Shrinivas Chimmalgi, Laurent Schmalen, Vahid Aref
https://arxiv.org/abs/2506.16098

End-to-End Learning of Probabilistic Constellation Shaping through Importance Sampling
Probabilistic constellation shaping enables easy rate adaption and has been proven to reduce the gap to Shannon capacity. Constellation point probabilities are optimized to maximize either the mutual information or the bit-wise mutual information. The optimization problem is however challenging even for simple channel models. While autoencoder-based machine learning has been applied successfully to solve this problem [1], it requires manual computation of additional terms for the gradient which…

Aligning visual imagery to the operator improves geospatial situation awareness in a single-display 360-degree periscope concept https://cognitiveresearchjournal.springeropen.com/articles/10.1186/s41235-025-00646-1

Aligning visual imagery to the operator improves geospatial situation awareness in a single-display 360-degree periscope concept - Cognitive Research: Principles and Implications
Technological advances mean that it is now possible to represent the entire 360° view of the horizon to a submarine periscope operator simultaneously, in strips on a single display, as opposed to the restricted view offered through a conventional periscope aperture. Initial research showing performance improvements for such panoramic displays is promising. However, that research has yet to consider the importance of alignment between the visual representation of the environment on the periscop…

Hypercubical manifolds in homotopy type theory
Samuel Mimram, \'Emile Oleon
https://arxiv.org/abs/2506.19402 https://arxiv.org/pd…

Hypercubical manifolds in homotopy type theory
Homotopy type theory is a logical setting in which one can perform geometric constructions and proofs in a synthetic way. Namely, types can be interpreted as spaces up to homotopy, and proofs as homotopy invariant constructions. In this context, we introduce a type which corresponds to the hypercubical manifold, a space first introduced by Poincaré in 1895. Its importance stems from the fact that it provides an approximation of the group Q of quaternionic units, in the sense of being the first…

Confidence Intervals for Random Forest Permutation Importance with Missing Data
Nico F\"oge, Markus Pauly
https://arxiv.org/abs/2507.13918 https://

Confidence Intervals for Random Forest Permutation Importance with Missing Data
Random Forests are renowned for their predictive accuracy, but valid inference, particularly about permutation-based feature importances, remains challenging. Existing methods, such as the confidence intervals (CIs) from Ishwaran et al. (2019), are promising but assume complete feature observation. However, real-world data often contains missing values. In this paper, we investigate how common imputation techniques affect the validity of Random Forest permutation-importance CIs when data are in…

Autism and anarchy: The importance of autistic anarchism
https://freedomnews.org.uk/2024/04/10/autism-and-anarchy-the-importance-of-autistic-anarchism/

C3RL: Rethinking the Combination of Channel-independence and Channel-mixing from Representation Learning
Shusen Ma, Yun-Bo Zhao, Yu Kang
https://arxiv.org/abs/2507.17454

C3RL: Rethinking the Combination of Channel-independence and Channel-mixing from Representation Learning
Multivariate time series forecasting has drawn increasing attention due to its practical importance. Existing approaches typically adopt either channel-mixing (CM) or channel-independence (CI) strategies. CM strategy can capture inter-variable dependencies but fails to discern variable-specific temporal patterns. CI strategy improves this aspect but fails to fully exploit cross-variable dependencies like CM. Hybrid strategies based on feature fusion offer limited generalization and interpretabi…

Properties and Expressivity of Linear Geometric Centralities
Paolo Boldi, Flavio Furia, Chiara Prezioso
https://arxiv.org/abs/2506.19670 https://

Properties and Expressivity of Linear Geometric Centralities
Centrality indices are used to rank the nodes of a graph by importance: this is a common need in many concrete situations (social networks, citation networks, web graphs, for instance) and it was discussed many times in sociology, psychology, mathematics and computer science, giving rise to a whole zoo of definitions of centrality. Although they differ widely in nature, many centrality measures are based on shortest-path distances: such centralities are often referred to as geometric. Geometric…

Integrating an ISO 30401-compliant Knowledge Management System with the processes of an Integrated Management System
Patrick Prieur, Aline Belloni
https://arxiv.org/abs/2507.18201

Integrating an ISO 30401-compliant Knowledge Management System with the processes of an Integrated Management System
With the evolution of process approaches within organizations, the increasing importance of quality management systems (like ISO 9001) and the recent introduction of ISO 30401 for knowledge management, we examine how these different elements converge within the framework of an Integrated Management System. The article specifically demonstrates how an ISO30401-compliant knowledge management system can be implemented by deploying the mechanisms of the SECI model through the steps of the PDCA cycl…

Estimation of superconducting cavity bandwidth and detuning using a Luenberger observer
Bozo Richter, Andrea Bellandi, Julien Branlard, Leon Speidel, Annika Eichler
https://arxiv.org/abs/2506.21207

Estimation of superconducting cavity bandwidth and detuning using a Luenberger observer
Enabled by progress in superconducting technology, several continuous wave linear accelerators are foreseen in the next decade. For these machines, it is of crucial importance to track the main cavity parameters, such as the resonator bandwidth and detuning. The bandwidth yields information on the superconducting state of the cavity. The detuning should be minimized to limit the required power to operate the cavity. The estimation of these parameters is commonly implemented in the digital elect…

Validating Sequential Monte Carlo for Gravitational-Wave Inference
Michael J. Williams, Minas Karamanis, Yilin Luo, Uro\v{s} Seljak
https://arxiv.org/abs/2506.18977

Validating Sequential Monte Carlo for Gravitational-Wave Inference
Nested sampling (NS) is the preferred stochastic sampling algorithm for gravitational-wave inference for compact binary coalenscences (CBCs). It can handle the complex nature of the gravitational-wave likelihood surface and provides an estimate of the Bayesian model evidence. However, there is another class of algorithms that meets the same requirements but has not been used for gravitational-wave analyses: Sequential Monte Carlo (SMC), an extension of importance sampling that maps samples from…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/5]:
- IPPRO: Importance-based Pruning with PRojective Offset for Magnitude-indifferent Structural Pruning
Jaeheun Jung, Jaehyuk Lee, Yeajin Lee, Donghun Lee

EndoFinder: Online Lesion Retrieval for Explainable Colorectal Polyp Diagnosis Leveraging Latent Scene Representations
Ruijie Yang, Yan Zhu, Peiyao Fu, Yizhe Zhang, Zhihua Wang, Quanlin Li, Pinghong Zhou, Xian Yang, Shuo Wang
https://arxiv.org/abs/2507.17323

EndoFinder: Online Lesion Retrieval for Explainable Colorectal Polyp Diagnosis Leveraging Latent Scene Representations
Colorectal cancer (CRC) remains a leading cause of cancer-related mortality, underscoring the importance of timely polyp detection and diagnosis. While deep learning models have improved optical-assisted diagnostics, they often demand extensive labeled datasets and yield "black-box" outputs with limited interpretability. In this paper, we propose EndoFinder, an online polyp retrieval framework that leverages multi-view scene representations for explainable and scalable CRC diagnosis. First, we …

Supercurrent-induced antiferromagnetic order and spin-triplet pair generation in quantum critical d-wave superconductors
Kyohei Nakamura, Youichi Yanase
https://arxiv.org/abs/2506.19042

Supercurrent-induced antiferromagnetic order and spin-triplet pair generation in quantum critical d-wave superconductors
A supercurrent is well recognized as being of prime importance within mean-field theory, but remains largely unexplored in strongly correlated electron systems (SCES) and the quantum critical region. To clarify the impact of the supercurrent on magnetism and superconductivity near an antiferromagnetic quantum critical point, we study the two-dimensional Hubbard model based on a fluctuation exchange approximation for a current-carrying superconducting state. We show a supercurrent-induced antife…

Importance of Non-Adiabatic Effects on Kohn Anomalies in 1D metals
Enrico Marazzi (IMCN Universit\'e catholique de Louvain Belgium), Samuel Ponc\'e (ETSF Universit\'e catholique de Louvain Belgium, WEL Research Institute Belgium), Jean-Christophe Charlier (IMCN Universit\'e catholique de Louvain Belgium), Gian-Marco Rignanese (ETSF Universit\'e catholique de Louvain Belgium, WEL Research Institute Belgium, School of Materials Science and Engineering Northwestern Pol…

Importance of Non-Adiabatic Effects on Kohn Anomalies in 1D metals
Kohn anomalies are kinks or dips in phonon dispersions which are pronounced in low-dimensional materials. We investigate the effects of non-adiabatic phonon self-energy on Kohn anomalies in one-dimensional metals by developing a model that analyzes how the adiabatic phonon frequency, electron effective mass, and electron-phonon coupling strength influence phonon mode renormalization. We introduce an electron-phonon coupling strength threshold for low-temperature system instability, providing ex…

Joint Resource Optimization Over Licensed and Unlicensed Spectrum in Spectrum Sharing UAV Networks Against Jamming Attacks
Rui Ding, Fuhui Zhou, Yuhang Wu, Qihui Wu, Tony Q. S. Quek
https://arxiv.org/abs/2507.17261

Joint Resource Optimization Over Licensed and Unlicensed Spectrum in Spectrum Sharing UAV Networks Against Jamming Attacks
Unmanned aerial vehicle (UAV) communication is of crucial importance in realizing heterogeneous practical wireless application scenarios. However, the densely populated users and diverse services with high data rate demands has triggered an increasing scarcity of UAV spectrum utilization. To tackle this problem, it is promising to incorporate the underutilized unlicensed spectrum with the licensed spectrum to boost network capacity. However, the openness of unlicensed spectrum makes UAVs suscep…

Replaced article(s) found for quant-ph. https://arxiv.org/list/quant-ph/new
[2/3]:
- Learning entanglement from tomography data: contradictory measurement importance for neural netwo...
Pavel Bal\'a\v{z}, Mateusz Krawczyk, Jaros{\l}aw Paw{\l}owski, Katarzyna Roszak

On the importance of representation (and how Google skews our view), nice film by @… (ht @… for the #peertube tip)
https://videos.elenarossini.com/w/t6F3Vznp2PxEanUNgBYRfQ

A complete census of planet-hosting binaries
Philippe Thebault, Danilo Bonanni
https://arxiv.org/abs/2506.18759 https://arxiv.org/pdf…

A complete census of planet-hosting binaries
Estimating the effect binarity can have on planet-formation is of crucial importance, as almost half of field stars reside in multiple systems. One effective way to assess this effect is to get an accurate picture of the population of planet-hosting binaries and compare its characteristics to that of field star binaries. We construct an extensive database, collected from intensive literature exploration, to achieve a complete census of all planet-hosting binaries known to date. Despite the hete…

Quality attributes of test cases and test suites -- importance & challenges from practitioners' perspectives
Huynh Khanh Vi Tran, Nauman bin Ali, Michael Unterkalmsteiner, J\"urgen B\"orstler, Panagiota Chatzipetrou
https://arxiv.org/abs/2507.06343

Quality attributes of test cases and test suites -- importance & challenges from practitioners' perspectives
Context: The quality of the test suites and the constituent test cases significantly impacts confidence in software testing. While research has identified several quality attributes of test cases and test suites, there is a need for a better understanding of their relative importance in practice. Objective: We investigate practitioners' perceptions regarding the relative importance of quality attributes of test cases and test suites and the challenges they face in ensuring the perceived importa…

This https://arxiv.org/abs/2405.08837 has been replaced.
initial toot: https://mastoxiv.page/@a…

Deciphering Solar Cycle Influence on Long-Term Orbital Deterioration of Low-Earth Orbiting Space Debris
The rapid increase in the number of space debris represents a substantial threat to the sustained viability of space operations and underscores the importance of understanding long-term drivers of orbital decay. This first of its kind study examines the long-term impact of solar activity on the orbital decay of 17 LEO debris objects across Solar Cycles 22, 23, and 24 using Two-Line Element (TLE) data spanning these three cycles. Analysis of TLE-derived decay profiles, in conjunction with sunspo…

World Rainforest Day and the state of Earth’s most vital rainforests https://news.mongabay.com/short-article/2025/06/world-rainforest-day-and-the-state-of-earths-most-vital-rainforests/

World Rainforest Day and the state of Earth’s most vital rainforests
June 22 marks World Rainforest Day, launched in 2017 by Rainforest Partnership to highlight the critical role of tropical forests. These ecosystems stabilize the climate, regulate rainfall, store vast amounts of carbon, and support most of the world’s terrestrial biodiversity. Yet despite their importance, 2024 proved to be a devastating year. Fires ravaged millions of […]

A Joint Planning Model for Fixed and Mobile Electric Vehicle Charging Stations Considering Flexible Capacity Strategy
Zhe Yu, Xue Hu, Qin Wang
https://arxiv.org/abs/2507.17587 h…

A Joint Planning Model for Fixed and Mobile Electric Vehicle Charging Stations Considering Flexible Capacity Strategy
The widespread adoption of electric vehicles (EVs) has significantly increased demand on both transportation and power systems, posing challenges to their stable operation. To support the growing need for EV charging, both fixed charging stations (FCSs) and mobile charging stations (MCSs) have been introduced, serving as key interfaces between the power grid and traffic network. Recognizing the importance of collaborative planning across these sectors, this paper presents a two-stage joint plan…

This https://arxiv.org/abs/2504.16816 has been replaced.
initial toot: https://mastoxiv.page/@a…

Simple and exact nonlinear pendulum motion for all possible initial conditions
Simple and formally exact solutions of energy-conserving nonlinear pendulum motion are derived for all three classes: swinging, stopping, and spinning. Although with seemingly very different characteristic motions, the three classes can now be treated on the same footing using the frequency domain. The solutions are the first exact and complete description of energy-conserving pendulum in the frequency domain reported in the literature. The key insight is the importance of angular velocity freq…

State Department Spokesperson Tammy Bruce has sparked condemnation
after a reporter unearthed an interview in which she said
the U.S. is the best country on Earth
“next to Israel,”
in yet another show of U.S. leaders’ capitulation to Israel
under a president who ran on the slogan “America First.”

Rubio Spokesperson Says US Is “Greatest Country on Earth Next to Israel”
The official said it’s her responsibility to ensure “every person on this planet” recognizes the importance of Israel.

Red Supergiant Mass Loss and Mass-Loss Rates
Jacco Th. van Loon (Keele University, UK)
https://arxiv.org/abs/2507.15971 https://arxiv…

Red Supergiant Mass Loss and Mass-Loss Rates
This review discusses the causes, nature, importance and observational evidence of mass loss by red supergiants. It arrives at the perception that mass loss finds its origin in the gravity which makes the star a star in the first place, and is a mechanism for the star to equilibrate. This is corroborated by a careful examination of various popular historical and recent empirical mass-loss rate prescriptions and theoretical works, and which provides no evidence for an explicit dependence of red …

exposure, highlighting importance of #ConsumerRights and #RightToRepair advocacy
https…

DiffPF: Differentiable Particle Filtering with Generative Sampling via Conditional Diffusion Models
Ziyu Wan, Lin Zhao
https://arxiv.org/abs/2507.15716 htt…

DiffPF: Differentiable Particle Filtering with Generative Sampling via Conditional Diffusion Models
This paper proposes DiffPF, a differentiable particle filter that leverages diffusion models for state estimation in dynamic systems. Unlike conventional differentiable particle filters, which require importance weighting and typically rely on predefined or low-capacity proposal distributions. DiffPF learns a flexible posterior sampler by conditioning a diffusion model on predicted particles and the current observation. This enables accurate, equally-weighted sampling from complex, high-dimensi…

Wave Topology in Hall MHD
Alejandro Mesa Dame, Hong Qin, Eric Palmerduca, Yichen Fu
https://arxiv.org/abs/2506.18830 https://arxiv.or…

Wave Topology in Hall MHD
Hall Magnetohydrodynamics (HMHD) extends ideal MHD by incorporating the Hall effect via the induction equation, making it more accurate for describing plasma behavior at length scales below the ion skin depth. Despite its importance, a comprehensive description of the eigenmodes in HMHD has been lacking. In this work, we derive the complete spectrum and eigenvectors of HMHD waves and identify their underlying topological structure. We prove that the HMHD wave spectrum is homotopic to that of id…

Using LLMs to identify features of personal and professional skills in an open-response situational judgment test
Cole Walsh, Rodica Ivan, Muhammad Zafar Iqbal, Colleen Robb
https://arxiv.org/abs/2507.13881

Using LLMs to identify features of personal and professional skills in an open-response situational judgment test
Academic programs are increasingly recognizing the importance of personal and professional skills and their critical role alongside technical expertise in preparing students for future success in diverse career paths. With this growing demand comes the need for scalable systems to measure, evaluate, and develop these skills. Situational Judgment Tests (SJTs) offer one potential avenue for measuring these skills in a standardized and reliable way, but open-response SJTs have traditionally relied…

"Sri Lanka’s golden jackals reveal importance of urban wetlands for wildlife"
#SriLanka #Animals #Jackals

Sri Lanka’s golden jackals reveal importance of urban wetlands for wildlife
SRI JAYAWARDENEPURA KOTTE, Sri Lanka — In the soft first light of dawn, wildlife photographer Priyanath Kotalawela observed a golden silhouette gliding across the wet grasslands in the Thalangama Wetland, not far from the heart of Sri Lanka’s administrative capital of Sri Jayawardenepura Kotte. It was the size of a midsize stray dog, but despite […]

Pragmatic Policy Development via Interpretable Behavior Cloning
Anton Matsson, Yaochen Rao, Heather J. Litman, Fredrik D. Johansson
https://arxiv.org/abs/2507.17056

Pragmatic Policy Development via Interpretable Behavior Cloning
Offline reinforcement learning (RL) holds great promise for deriving optimal policies from observational data, but challenges related to interpretability and evaluation limit its practical use in safety-critical domains. Interpretability is hindered by the black-box nature of unconstrained RL policies, while evaluation -- typically performed off-policy -- is sensitive to large deviations from the data-collecting behavior policy, especially when using methods based on importance sampling. To add…

Leave No One Undermined: Policy Targeting with Regret Aversion
Toru Kitagawa, Sokbae Lee, Chen Qiu
https://arxiv.org/abs/2506.16430 https://

Leave No One Undermined: Policy Targeting with Regret Aversion
While the importance of personalized policymaking is widely recognized, fully personalized implementation remains rare in practice. We study the problem of policy targeting for a regret-averse planner when training data gives a rich set of observable characteristics while the assignment rules can only depend on its subset. Grounded in decision theory, our regret-averse criterion reflects a planner's concern about regret inequality across the population, which generally leads to a fractional opt…

Disentangled Feature Importance
Jin-Hong Du, Kathryn Roeder, Larry Wasserman
https://arxiv.org/abs/2507.00260 https://arxiv.org/pdf/2…

Disentangled Feature Importance
Feature importance quantification faces a fundamental challenge: when predictors are correlated, standard methods systematically underestimate their contributions. We prove that major existing approaches target identical population functionals under squared-error loss, revealing why they share this correlation-induced bias. To address this limitation, we introduce \emph{Disentangled Feature Importance (DFI)}, a nonparametric generalization of the classical $R^2$ decomposition via optimal tran…

Study of entanglement in Ne, Mg, and Si isotopic chains
Rohit M. Shinde, Praveen C. Srivastava
https://arxiv.org/abs/2506.19437 https://

Study of entanglement in Ne, Mg, and Si isotopic chains
In this article, we have presented the results for mode entanglement and its evolution in Ne, Mg, and Si isotopic chains. A detailed study has also been conducted on the role of nuclear forces with the assistance of the spin-tensor decomposition of two-body interaction into three components: central, spin-orbit, and tensor. This study can shed light on the high entanglement entropy observed for $N=Z$ nuclei and the importance of the tensor component on the proton-neutron entanglement entropy.

"The paper is only interested in the use of the idea, not the idea itself. Hardly anyone can understand the importance of an idea, it is so remarkable. Except that, possibly, some children catch on. And when a child catches on to an idea like that, we have a scientist." ("The value of science, Richard P. Feynman)
Short, but it took me all day to read it because I had to stop and think all the time, and it will take a lot longer to actually grasp it.

A Comparative Analysis of Statistical and Machine Learning Models for Outlier Detection in Bitcoin Limit Order Books
Ivan Letteri
https://arxiv.org/abs/2507.14960

A Comparative Analysis of Statistical and Machine Learning Models for Outlier Detection in Bitcoin Limit Order Books
The detection of outliers within cryptocurrency limit order books (LOBs) is of paramount importance for comprehending market dynamics, particularly in highly volatile and nascent regulatory environments. This study conducts a comprehensive comparative analysis of robust statistical methods and advanced machine learning techniques for real-time anomaly identification in cryptocurrency LOBs. Within a unified testing environment, named AITA Order Book Signal (AITA-OBS), we evaluate the efficacy of…

Importance of gravitational effects on the performances of a fully passive oscillating-foil turbine deployed horizontally
Alexina Roy-Saillant, Guy Dumas, Leandro Duarte, Guilhem Dellinger, Mathieu Olivier
https://arxiv.org/abs/2507.10711

Importance of gravitational effects on the performances of a fully passive oscillating-foil turbine deployed horizontally
This article presents a numerical study evaluating the impact of gravity on the performance of a fully passive oscillating-foil turbine operating in a horizontal configuration, that is, where the gravity acts along the heave direction. The study examines two sets of parameters corresponding to turbines driven by different aeroelastic instabilities. For turbines experiencing stall-flutter instability, the influence of gravity on performance metrics is minimal when inertial forces dominate or are…

1.64-Approximation for Chromatic Correlation Clustering via Chromatic Cluster LP
Dahoon Lee, Chenglin Fan, Euiwoong Lee
https://arxiv.org/abs/2507.15417 ht…

1.64-Approximation for Chromatic Correlation Clustering via Chromatic Cluster LP
Chromatic Correlation Clustering (CCC) generalizes Correlation Clustering by assigning multiple categorical relationships (colors) to edges and imposing chromatic constraints on the clusters. Unlike traditional Correlation Clustering, which only deals with binary $(+/-)$ relationships, CCC captures richer relational structures. Despite its importance, improving the approximation for CCC has been difficult due to the limitations of standard LP relaxations. We present a randomized $1.64$-approxim…

Simulation-Prior Independent Neural Unfolding Procedure
Anja Butter, Theo Heimel, Nathan Huetsch, Michael Kagan, Tilman Plehn
https://arxiv.org/abs/2507.15084

Simulation-Prior Independent Neural Unfolding Procedure
Machine learning allows unfolding high-dimensional spaces without binning at the LHC. The new SPINUP method extracts the unfolded distribution based on a neural network encoding the forward mapping, making it independent of the prior from the simulated training data. It is made efficient through neural importance sampling, and ensembling can be used to estimate the effect of information loss in the forward process. We showcase SPINUP for unfolding detector effects on jet substructure observable…

Perceptual Rationality: An Evolutionary Game Theory of Perceptually Rational Decision-Making
Mohammad Salahshour
https://arxiv.org/abs/2506.17724 https://

Perceptual Rationality: An Evolutionary Game Theory of Perceptually Rational Decision-Making
Understanding how biological organisms make decisions is of fundamental importance in understanding behavior. Such an understanding within evolutionary game theory so far has been sought by appealing to bounded rationality. Here, we present a perceptual rationality framework in the context of group cooperative interactions, where individuals make rational decisions based on their evolvable perception of the environment. We show that a simple public goods game accounts for power law distributed …

(1/2) This is an important message from Hank Green about “finding hope,” ways that we need to build community, engage in dialogue, and take care of ourselves as well as our loved ones in these tumultuous times.

"At the end of the day - who cares what you choose. Just choose something. Stop looking at it as 'blogging' or trying to 'capture an audience'."
Great piece by @… from a few years back on the importance of brain dumps and blogging:

Switching States: Heteroclinic Cycles as Organising Centres of Neuronal Dynamics
Kateryna Nechyporenko, Peter Ashwin, Krasimira Tsaneva-Atanasova
https://arxiv.org/abs/2507.15519 …

Switching States: Heteroclinic Cycles as Organising Centres of Neuronal Dynamics
Neuronal networks alternate between high- and low-activity regimes, known as up and down states. They also display rhythmic patterns essential for perception, memory consolidation, and sensory processing. Despite their importance, the principles behind such state transitions remain elusive. We propose necessary conditions for the existence of a novel bifurcation structure as a universal organising centre governing these transitions. Bifurcation analysis and simulations of canonical mean-field n…

Spectral Analysis of Node- and Cell-Centered Higher-Order Compact Schemes for Fully Discrete One and Two-Dimensional Convection-Dispersion Equation
Lavanya V Salian, Vivek S Yadav, Rathan Samala, Rakesh Kumar
https://arxiv.org/abs/2507.14692

Spectral Analysis of Node- and Cell-Centered Higher-Order Compact Schemes for Fully Discrete One and Two-Dimensional Convection-Dispersion Equation
In this study, we present a comprehensive global spectral analysis of the convection dispersion equation, which is also referred to in specific contexts as the Korteweg de Vries (KdV) equation, to investigate the behaviour of high order numerical schemes across a wide range of nondimensional parameters. The motivation for this analysis stems from the equation's importance in modeling wave propagation and transport phenomena, where accurate resolution of dispersive effects is critical, and tradi…

«Dominance does not equal importance, nor is dominance the same as relevance. The snag at Mozilla is a management layer that doesn't appear to understand what works for its product nor which parts of it matter most to users.»
From "Firefox is fine. The people running it are not"
https://www.theregister.com/2025/07/08/firefox_isnt_dead/

Information Entropy-Based Scheduling for Communication-Efficient Decentralized Learning
Jaiprakash Nagar, Zheng Chen, Marios Kountouris, Photios A. Stavrou
https://arxiv.org/abs/2507.17426

Information Entropy-Based Scheduling for Communication-Efficient Decentralized Learning
This paper addresses decentralized stochastic gradient descent (D-SGD) over resource-constrained networks by introducing node-based and link-based scheduling strategies to enhance communication efficiency. In each iteration of the D-SGD algorithm, only a few disjoint subsets of nodes or links are randomly activated, subject to a given communication cost constraint. We propose a novel importance metric based on information entropy to determine node and link scheduling probabilities. We validate …

Dora: A Controller Provisioning Strategy in Hierarchical Domain-based Satellite Networks
Qiyuan Peng, Qi Zhang, Yue Gao, Kun Qiu
https://arxiv.org/abs/2507.14512

Dora: A Controller Provisioning Strategy in Hierarchical Domain-based Satellite Networks
The rapid proliferation of satellite constellations in Space-Air-Ground Integrated Networks (SAGIN) presents significant challenges for network management. Conventional flat network architectures struggle with synchronization and data transmission across massive distributed nodes. In response, hierarchical domain-based satellite network architectures have emerged as a scalable solution, highlighting the critical importance of controller provisioning strategies. However, existing network managem…

Strangeon Matter: from Stars to Nuggets
Haoyang Qi, Renxin Xu
https://arxiv.org/abs/2507.13935 https://arxiv.org/pdf/2507.13935

Strangeon Matter: from Stars to Nuggets
The fact that strange sea quarks are abundant in the nucleons, but without strangeness, is of great importance for understanding the nature of dense matter condensed by the strong interaction, particularly in the context of the ``gigantic nucleus'' formed by the gravitational collapse of an evolved massive star. We hypothesize that the basic unit of bulk strong matter with the light-flavor symmetry of valence quarks is ``strangeon'', which is the counterpart of the nucleon found in atomic nucle…

Replaced article(s) found for cond-mat.soft. https://arxiv.org/list/cond-mat.soft/new
[1/1]:
- The importance of being discrete -- An agent-based model for active nematics and more
Mathieu Dedenon, Carles Blanch-Mercader, Karsten Kruse, Jens Elgeti

Supporting Live Music: The Importance of Shared Experiences
https://pianodao.com/2025/06/29/why-live-performance-matters/?utm_source=flipboard&utm_content=muz4now/magazine/Piano …

Supporting Live Music: The Importance of Shared Experiences
Explore the challenges facing live music and discover the importance of fostering a supportive community for performers and audiences alike.

"It is important to study choices customers make and learn from them. But being deceived by what their choices mean is easier than is usually appreciated.
...
It can be frustrating to be questioned about the evidence and reasoning behind the proposed actions you support. But you really should be in the habit of doing this to yourself before you make a decision..."

Spouse (a psychotherapist) was forwarded this paper
https://arxiv.org/abs/2504.18412
> Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers
which has caused us to spend a big chunk of after dinner lounging alternating among incredulous…

Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers
Should a large language model (LLM) be used as a therapist? In this paper, we investigate the use of LLMs to *replace* mental health providers, a use case promoted in the tech startup and research space. We conduct a mapping review of therapy guides used by major medical institutions to identify crucial aspects of therapeutic relationships, such as the importance of a therapeutic alliance between therapist and client. We then assess the ability of LLMs to reproduce and adhere to these aspects o…

Comparing performance of variational quantum algorithm simulations on HPC systems
Marco De Pascale, Tobias Valentin Bauer, Yaknan John Gambo, Mario Hern\'andez Vera, Stefan Huber, Burak Mete, Amit Jamadagni, Amine Bentellis, Marita Oliv, Luigi Iapichino, Jeanette Miriam Lorenz
https://arxiv.org/abs/2507.17614

Comparing performance of variational quantum algorithm simulations on HPC systems
Variational quantum algorithms are of special importance in the research on quantum computing applications because of their applicability to current Noisy Intermediate-Scale Quantum (NISQ) devices. The main building blocks of these algorithms (among them, the definition of the Hamiltonian and of the ansatz, the optimizer) define a relatively large parameter space, making the comparison of results and performance between different approaches and software simulators cumbersome and prone to errors…

Ten Essential Guidelines for Building High-Quality Research Software
Nasir U. Eisty, David E. Bernholdt, Alex Koufos, David J. Luet, Miranda Mundt
https://arxiv.org/abs/2507.16166

Ten Essential Guidelines for Building High-Quality Research Software
High-quality research software is a cornerstone of modern scientific progress, enabling researchers to analyze complex data, simulate phenomena, and share reproducible results. However, creating such software requires adherence to best practices that ensure robustness, usability, and sustainability. This paper presents ten guidelines for producing high-quality research software, covering every stage of the development lifecycle. These guidelines emphasize the importance of planning, writing cle…

The influence of nitrogen doping and annealing on the silicon vacancy in 4H-SiC
Samuel G. Carter, Infiter Tathfif, Charity Burgess, Brenda VanMil, Suryakanti Debata, Pratibha Dev
https://arxiv.org/abs/2506.17478

The influence of nitrogen doping and annealing on the silicon vacancy in 4H-SiC
The silicon vacancy ($V_{Si}$) in 4H-SiC at its cubic site (V2-center) has shown significant promise for quantum technologies, due to coherent spin states, the mature material system, and stable optical emission. In these SiC-based applications, doping plays a crucial role. It can be used to control the charge state of $V_{Si}$ and formation of different types of defects. Despite its importance, there has been little research on the effects of doping. In this work, we perform a study of the eff…

This https://arxiv.org/abs/2405.14217 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_nli…

The Fractal Blueprint: Soil Pores, Symmetry, and Climate Mitigation
Soil is a critical component of terrestrial ecosystems, directly influencing global biogeochemical cycles. Despite its importance, the complex architecture of soil pores and their impact on greenhouse gas emissions remain poorly understood. This perspective aims to address this gap by applying discrete symmetry and symmetry-breaking concepts through fractal geometry to elucidate the structural and functional complexities of soil pores. We highlight how fractal parameters can quantify the self-s…

The Electoral Consequences of Natural Disasters: A Dynamic Fixed-Effects Analysis
Nima Taheri Hosseinkhani
https://arxiv.org/abs/2507.14331 https://…

The Electoral Consequences of Natural Disasters: A Dynamic Fixed-Effects Analysis
With the increasing frequency of major natural disasters, understanding their political consequences is of paramount importance for democratic accountability. The existing literature is deeply divided, with some studies finding that voters punish incumbents for disaster-related damages, while others find they reward them for relief efforts. This paper investigates the electoral consequences of natural disasters for incumbent mayors, broader electoral dynamics, and the long-term political ambiti…

Residual gauge theory for quanta of surface plasmons
Ken-ichi Sasaki
https://arxiv.org/abs/2506.18280 https://arxiv.org/pdf/2506.1828…

Residual gauge theory for quanta of surface plasmons
We develop a gauge-theoretical framework to investigate the quanta of surface plasmons. Our formulation, based on quantum electrodynamics, highlights the importance of residual gauge symmetry. We emphasize that residual gauge symmetry, which imposes constraint equations on physical states, is fundamentally linked to Joule heating. This framework is applied to metals, semiconductors, and quantum Hall states, suggesting the presence of a latent transverse electric mode and that the quanta have th…

RepILN: Reparameterized Inertial Localization Network
Shanshan Zhang, Tianshui Wen, Siyue Wang, Qi Zhang, Ziheng Zhou, Lingxiang Zheng, Yu Yang
https://arxiv.org/abs/2507.15293

RepILN: Reparameterized Inertial Localization Network
Inertial localization is regarded as a promising positioning solution for consumer-grade IoT devices due to its cost-effectiveness and independence from external infrastructure. However, data-driven inertial localization methods often rely on increasingly complex network architectures to improve accuracy, which challenges the limited computational resources of IoT devices. Moreover, these methods frequently overlook the importance of modeling long-term dependencies in inertial measurements - a …

PRIDE -- Parameter-Efficient Reduction of Identity Discrimination for Equality in LLMs
Maluna Menke, Thilo Hagendorff
https://arxiv.org/abs/2507.13743 http…

PRIDE -- Parameter-Efficient Reduction of Identity Discrimination for Equality in LLMs
Large Language Models (LLMs) frequently reproduce the gender- and sexual-identity prejudices embedded in their training corpora, leading to outputs that marginalize LGBTQIA+ users. Hence, reducing such biases is of great importance. To achieve this, we evaluate two parameter-efficient fine-tuning (PEFT) techniques - Low-Rank Adaptation (LoRA) and soft-prompt tuning - as lightweight alternatives to full-model fine-tuning for mitigating such biases. Using the WinoQueer benchmark, we quantify bias…

Back in 1964, microbiologist Tom Brock received a grant from the National Science Foundation to study how life works at high temperatures,
a question that took him to Yellowstone’s hot springs in search of extremophiles.
There, he and his student discovered a bacteria they called Thermus aquaticus,
which had enzymes that could work at incredibly high temperatures.
Two decades later, this discovery paved the way for the development of a technique called polymerase ch…

What It Would Mean To Lose The National Science Foundation
In a companion piece to our previous article on the NIH, we discuss the importance of the National Science Foundation (NSF) and how the agency is currently being affected by political interference.

Sequential multiple importance sampling for high-dimensional Bayesian inference
Li Binbin, He Xiao, Liao Zihan
https://arxiv.org/abs/2507.05114 https://

Sequential multiple importance sampling for high-dimensional Bayesian inference
This paper introduces a sequential multiple importance sampling (SeMIS) algorithm for high-dimensional Bayesian inference. The method estimates Bayesian evidence using all generated samples from each proposal distribution while obtaining posterior samples through an importance-resampling scheme. A key innovation of SeMIS is the use of a softly truncated prior distribution as the intermediate proposal, providing a new way bridging prior and posterior distributions. By enabling samples from high-…

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection
Aleksandr Gashkov, Aleksandr Perevalov, Maria Eltsova, Andreas Both
https://arxiv.org/abs/2507.13859

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection
Nowadays, the importance of software with natural-language user interfaces cannot be underestimated. In particular, in Question Answering (QA) systems, generating a SPARQL query for a given natural-language question (often named Query Building) from the information retrieved from the same question is the central task of QA systems working over Knowledge Graphs (KGQA). Due to the rise of Large Language Models (LLMs), they are considered a well-suited method to increase the quality of the questio…

On the Adversarial Robustness of Online Importance Sampling
Yotam Kenneth-Mordoch, Shay Sapir
https://arxiv.org/abs/2507.02394 https://

On the Adversarial Robustness of Online Importance Sampling
This paper studies the adversarial-robustness of importance-sampling (aka sensitivity sampling); a useful algorithmic technique that samples elements with probabilities proportional to some measure of their importance. A streaming or online algorithm is called adversarially-robust if it succeeds with high probability on input streams that may change adaptively depending on previous algorithm outputs. Unfortunately, the dependence between stream elements breaks the analysis of most randomized al…

Discovering the Unequal Importance of Coded Bits in the Decoding of Polar Codes
Hossam Hassan, Ali Gaber, Mohammed Karmoose, Noha Korany
https://arxiv.org/abs/2507.08598

Discovering the Unequal Importance of Coded Bits in the Decoding of Polar Codes
Polar codes are widely used in modern communication systems due to their capacity-achieving properties. This paper investigates the importance of coded bits in the decoding process of polar codes and aims to determine which bits contribute most to successful decoding. We investigate the problem via a brute-force search approach and surrogate optimization techniques to identify the most critical coded bits. We also demonstrate how mapping these important bits to the most reliable channels improv…

Unraveling the non-equilibrium chemistry of the temperate sub-Neptune K2-18 b
A. Y. Jaziri, O. Sohier, O. Venot, N. Carrasco
https://arxiv.org/abs/2507.14983

Unraveling the non-equilibrium chemistry of the temperate sub-Neptune K2-18 b
The search for habitable, Earth-like exoplanets faces major observational challenges due to their small size and faint signals. M-dwarf stars offer a promising avenue to detect and study smaller planets, especially sub-Neptunes-among the most common exoplanet types. K2-18 b, a temperate sub-Neptune in an M-dwarf habitable zone, has been observed with HST and JWST, revealing an H2-rich atmosphere with CH4 and possible CO2. Conflicting interpretations highlight the importance of non-equilibrium c…

GUI-Robust: A Comprehensive Dataset for Testing GUI Agent Robustness in Real-World Anomalies
Jingqi Yang, Zhilong Song, Jiawei Chen, Mingli Song, Sheng Zhou, linjun sun, Xiaogang Ouyang, Chun Chen, Can Wang
https://arxiv.org/abs/2506.14477

GUI-Robust: A Comprehensive Dataset for Testing GUI Agent Robustness in Real-World Anomalies
The development of high-quality datasets is crucial for benchmarking and advancing research in Graphical User Interface (GUI) agents. Despite their importance, existing datasets are often constructed under idealized conditions, overlooking the diverse anomalies frequently encountered in real-world deployments. To address this limitation, we introduce GUI-Robust, a novel dataset designed for comprehensive GUI agent evaluation, explicitly incorporating seven common types of anomalies observed in …

Efficient quantum state tomography with auxiliary systems
Wenlong Zhao, Da Zhang, Huili Zhang, Haifeng Yu, Zhang-qi Yin
https://arxiv.org/abs/2507.16532 ht…

Efficient quantum state tomography with auxiliary systems
Quantum state tomography is a technique in quantum information science used to reconstruct the density matrix of an unknown quantum state, providing complete information about the quantum state. It is of significant importance in fields such as quantum computation, quantum communication, and quantum simulation. However, as the size of the quantum system increases, the number of measurement settings and sampling requirements for quantum state tomography grow exponentially with the number of qubi…

Source identifiers are used to track your activity on a site:
Where you came from, what device you use, and even who you talk to.
Whether it's written clearly in the url or tied to a random string of characters, it's assigned to your activity.
When you send a link containing a source identifier to somebody and they click it, it signals to the website that you two are connected.
And that data goes right back to the website operators, and thus their advertisers…

DENSE: Longitudinal Progress Note Generation with Temporal Modeling of Heterogeneous Clinical Notes Across Hospital Visits
Garapati Keerthana, Manik Gupta
https://arxiv.org/abs/2507.14079

DENSE: Longitudinal Progress Note Generation with Temporal Modeling of Heterogeneous Clinical Notes Across Hospital Visits
Progress notes are among the most clinically meaningful artifacts in an Electronic Health Record (EHR), offering temporally grounded insights into a patient's evolving condition, treatments, and care decisions. Despite their importance, they are severely underrepresented in large-scale EHR datasets. For instance, in the widely used Medical Information Mart for Intensive Care III (MIMIC-III) dataset, only about $8.56\%$ of hospital visits include progress notes, leaving gaps in longitudinal pati…

Importance sampling for Sobol' indices estimation
Haythem Boucharif, J\'er\^ome Morio, Paul Rochet
https://arxiv.org/abs/2507.05958 https://…

Importance sampling for Sobol' indices estimation
We propose a new importance sampling framework for the estimation and analysis of Sobol' indices. We show that a Sobol' index defined under a reference input distribution can be consistently estimated from samples drawn from other sampling distributions by reweighting the estimator appropriately to account for the distribution change. We derive the optimal sampling distribution that minimizes the asymptotic variance and demonstrate its strong impact on estimation accuracy. Beyond variance reduc…

Testing Autonomous Driving Systems -- What Really Matters and What Doesn't
Changwen Li, Joseph Sifakis, Rongjie Yan, Jian Zhang
https://arxiv.org/abs/2507.13661

Testing Autonomous Driving Systems -- What Really Matters and What Doesn't
Despite extensive research, the testing of autonomous driving systems (ADS) landscape remains fragmented, and there is currently no basis for an informed technical assessment of the importance and contribution of the current state of the art. This paper attempts to address this problem by exploring two complementary aspects. First, it proposes a framework for comparing existing test methods in terms of their intrinsic effectiveness and validity. It shows that many methods do not meet both of …

Musician Ela Minus on having more power over your work
#creativity #artist

Musician Ela Minus on having more power over your work – The Creative Independent
Musician Ela Minus discusses demystifying your industry, questioning yourself and the systems around you, and the importance of teaching others

Learning-Based Interface for Semantic Communication with Bit Importance Awareness
Wenzheng Kong, Wenyi Zhang
https://arxiv.org/abs/2507.12850 https://

Learning-Based Interface for Semantic Communication with Bit Importance Awareness
Joint source-channel coding (JSCC) is an effective approach for semantic communication. However, current JSCC methods are difficult to integrate with existing communication network architectures, where application and network providers are typically different entities. Recently, a novel paradigm termed Split DeepJSCC has been under consideration to address this challenge. Split DeepJSCC employs a bit-level interface that enables separate design of source and channel codes, ensuring compatibilit…

Sarah Josepha Hale is called the godmother of Thanksgiving
because for 40 years she wrote and lobbied five presidents and congressmen to establish it as a national holiday.
Hale, who is probably best remembered as the author of “Mary Had a Little Lamb,”
also wrote the novel “Northwood; or Life North and South,”
which argued for the virtue of the North against the evil slave owners of the South.
One of the chapters in her book discussed the importance of Thanks…

The Africanization of Thanksgiving
Millions of families will come together today and celebrate their bounty by reflecting on God,…

PhantomHunter: Detecting Unseen Privately-Tuned LLM-Generated Text via Family-Aware Learning
Yuhui Shi, Yehan Yang, Qiang Sheng, Hao Mi, Beizhe Hu, Chaoxi Xu, Juan Cao
https://arxiv.org/abs/2506.15683

PhantomHunter: Detecting Unseen Privately-Tuned LLM-Generated Text via Family-Aware Learning
With the popularity of large language models (LLMs), undesirable societal problems like misinformation production and academic misconduct have been more severe, making LLM-generated text detection now of unprecedented importance. Although existing methods have made remarkable progress, a new challenge posed by text from privately tuned LLMs remains underexplored. Users could easily possess private LLMs by fine-tuning an open-source one with private corpora, resulting in a significant performanc…

An Empirical Study of Bugs in Data Visualization Libraries
Weiqi Lu, Yongqiang Tian, Xiaohan Zhong, Haoyang Ma, Zhenyang Xu, Shing-Chi Cheung, Chengnian Sun
https://arxiv.org/abs/2506.15084

An Empirical Study of Bugs in Data Visualization Libraries
Data visualization (DataViz) libraries play a crucial role in presentation, data analysis, and application development, underscoring the importance of their accuracy in transforming data into visual representations. Incorrect visualizations can adversely impact user experience, distort information conveyance, and influence user perception and decision-making processes. Visual bugs in these libraries can be particularly insidious as they may not cause obvious errors like crashes, but instead mis…

U.S. health officials have changed their advice to international travelers about measles,
saying that Americans should be vaccinated against the virus
-- no matter where they’re going.
U.S. residents are recommended to get measles-mumps-rubella shots, anyway.
But the Centers for Disease Control and Prevention previously emphasized the importance of vaccination for travelers going to countries with outbreaks.

All international travelers should get measles vaccinations, CDC says
U.S. health officials have changed their advice to international travelers about measles, saying Americans should be vaccinated against the disease no matter where they travel in the world. U.S. residents are recommended to get measles-mumps-rubella shots, anyway. But the Centers for Disease Control and Prevention previously emphasized the importance of vaccination for travelers going to countries with outbreaks. Last week, the CDC updated its guidance to call for vaccinations for travelers goi…

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning
Tosin Adewumi, Foteini Simistira Liwicki, Marcus Liwicki, Viktor Gardelli, Lama Alkhaled, Hamam Mokayed
https://arxiv.org/abs/2507.12079

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning
This paper presents an intervention study on the effects of the combined methods of (1) the Socratic method, (2) Chain of Thought (CoT) reasoning, (3) simplified gamification and (4) formative feedback on university students' Maths learning driven by large language models (LLMs). We call our approach Mathematics Explanations through Games by AI LLMs (MEGA). Some students struggle with Maths and as a result avoid Math-related discipline or subjects despite the importance of Maths across many fie…

Recently departed officials from the Federal Emergency Management Agency ( #Fema )
say the organization is dangerously underresourced
and overstretched in the event of further natural catastrophes.
A mass staff exodus, plunging morale and a loss of key leaders
has left the main US disaster-relief organization ill-equipped to cope with an anticipated deadly spate of storms in the curren…