Tootfinder

The Formation of Ultra-short-period Planets under the Influence of the Nearby Planetary Companions
Jia Jun Zhu, Su Wang, Jianghui Ji, Yao Dong
https://arxiv.org/abs/2509.24199 h…

The Formation of Ultra-short-period Planets under the Influence of the Nearby Planetary Companions
Ultra-short-period (USP) planets, defined as those with orbital periods shorter than 1 day, provide valuable insights into planetary evolution under strong stellar tidal interactions. In this work, we investigate the formation of USP planets in two-planet systems consisting of an inner terrestrial planet accompanied by an outer hot Jupiter (HJ). Our simulation results show USP planets can form through a process driven by secular perturbations from the outer companion, which induce eccentricity …

Markov Decision Processing Networks
Sanidhay Bhambay, Thirupathaiah Vasantam, Neil Walton
https://arxiv.org/abs/2509.24541 https://arxiv.org/pdf/2509.24541…

Markov Decision Processing Networks
We introduce Markov Decision Processing Networks (MDPNs) as a multiclass queueing network model where service is a controlled, finite-state Markov process. The model exhibits a decision-dependent service process where actions taken influence future service availability. Viewed as a two-sided queueing model, this captures settings such as assemble-to-order systems, ride-hailing platforms, cross-skilled call centers, and quantum switches. We first characterize the capacity region of MDPNs. Unli…

Surveillance tools exported by China, based on US tech and obtained by Chinese companies, to countries like Nepal are being used to stifle Tibetan refugees (Associated Press)
https://apnews.com/article/china-tibet-nepal-sur…

Chinese surveillance based on US tech is used to silence Tibetans in Nepal
Nepal is just one of at least 150 countries to which Chinese companies are supplying surveillance technology, from cameras in Vietnam to censorship firewalls in Pakistan to citywide monitoring systems in Kenya. This technology is now a key part of China’s push for global influence, as it provides cash-strapped governments cost-effective, if invasive, forms of policing — turning algorithms and data into a force multiplier for control. The irony at the heart of this digital authoritarianism i…

The evolution of influence operations
from crude Russian troll farms to sophisticated AI systems using large language models;
the discovery of GoLaxy documents revealing a "Smart Propaganda System" that collects millions of data points daily, builds psychological profiles, and generates resilient personas;
the fundamental challenges of measuring effectiveness;
GoLaxy's ties to Chinese intelligence agencies;
operations targeting Hong Kong's…

The influence of rotation and metallicity on the explodability of massive stars
Renyu Luo, Chunhua Zhu, Guoliang L\"u, Helei Liu, Sufen Guo, Lei Li, Zhuowen Li
https://arxiv.org/abs/2510.06043

The influence of rotation and metallicity on the explodability of massive stars
During the late stages of massive stellar evolution, failed supernovae (FSN) may form through core-collapse processes. The traditional evaluation criterion $ξ_{2.5}$ $=$ 0.45, primarily established using non-rotating progenitor models, suffers from significant inaccuracies when applied to rotating pre-supernova systems. The effects of metallicity and rotation on the explodability landscapes of massive stars lack robust quantification. We aim to investigate how rotation and metallicity influenc…

The Influence of the Accretion Disc Structure on X-ray Spectral States in Symbiotic Binaries
Jes\'us A. Toal\'a, Diego A. Vasquez-Torres
https://arxiv.org/abs/2510.12654

The Influence of the Accretion Disc Structure on X-ray Spectral States in Symbiotic Binaries
Symbiotic stars are binary systems where a white dwarf (WD) accretes material from the wind of an evolved, late-type companion. X-ray-emitting symbiotic systems are classified into $α$, $β$, $δ$, and $β/δ$ types, attributed to distinct physical mechanisms such as thermonuclear burning, wind interactions, and accretion-driven boundary layers. We present synthetic X-ray spectra derived from hydrodynamics simulations using the PHANTOM code, coupled with radiative-transfer calculations from SK…

A Wave of Resignations in the Aftermath of Remote Onboarding
Darja Smite, Franz Zieris, Lars-Ola Damm
https://arxiv.org/abs/2510.05878 https://arxiv.org/pd…

A Wave of Resignations in the Aftermath of Remote Onboarding
The COVID-19 pandemic has permanently altered workplace structures, normalizing remote work. However, critical evidence highlights challenges with fully remote arrangements, particularly for software teams. This study investigates employee resignation patterns at Ericsson, a global developer of software-intensive systems, before, during, and after the pandemic. Using HR data from 2016-2025 in Ericsson Sweden, we analyze how different work modalities (onsite, remote, and hybrid) influence employ…

Webinar: More Than Just Choice: How Religion, Race, and Identity Influence Food Decisions #acrel https://networks.h-net.org/group/annou

REN: Anatomically-Informed Mixture-of-Experts for Interstitial Lung Disease Diagnosis
Alec K. Peltekian, Halil Ertugrul Aktas, Gorkem Durak, Kevin Grudzinski, Bradford C. Bemiss, Carrie Richardson, Jane E. Dematte, G. R. Scott Budinger, Anthony J. Esposito, Alexander Misharin, Alok Choudhary, Ankit Agrawal, Ulas Bagci
https://arxiv.org/abs…

REN: Anatomically-Informed Mixture-of-Experts for Interstitial Lung Disease Diagnosis
Mixture-of-Experts (MoE) architectures have significantly contributed to scalable machine learning by enabling specialized subnetworks to tackle complex tasks efficiently. However, traditional MoE systems lack domain-specific constraints essential for medical imaging, where anatomical structure and regional disease heterogeneity strongly influence pathological patterns. Here, we introduce Regional Expert Networks (REN), the first anatomically-informed MoE framework tailored specifically for med…

Adversarial Social Influence: Modeling Persuasion in Contested Social Networks
Renukanandan Tumu, Cristian Ioan Vasile, Victor Preciado, Rahul Mangharam
https://arxiv.org/abs/2510.01481

Adversarial Social Influence: Modeling Persuasion in Contested Social Networks
We present the Social Influence Game (SIG), a framework for modeling adversarial persuasion in social networks with an arbitrary number of competing players. Our goal is to provide a tractable and interpretable model of contested influence that scales to large systems while capturing the structural leverage points of networks. Each player allocates influence from a fixed budget to steer opinions that evolve under DeGroot dynamics, and we prove that the resulting optimization problem is a differ…

Dynamics of Choline Chloride based Deep Eutectic Solvents: Neutron Scattering Study
Rinesh T., H. Srinivasan, V. K. Sharma, S. Mitra
https://arxiv.org/abs/2510.05882 https://

Dynamics of Choline Chloride based Deep Eutectic Solvents: Neutron Scattering Study
In this study, we investigate the microscopic diffusion dynamics of choline chloride (ChCl) based deep eutectic solvents (DESs) to elucidate the influence of hydrogen bond donor (HBD) identity on the mobility of cholinium ions. The DES systems examined include ethaline, glyceline, and reline, comprising ChCl mixed with ethylene glycol, glycerol, and urea, respectively, in a 1:2 molar ratio. Quasielastic neutron scattering experiments was used to probe the self-diffusion of cholinium ions at mol…

Opponent Shaping in LLM Agents
Marta Emili Garcia Segura, Stephen Hailes, Mirco Musolesi
https://arxiv.org/abs/2510.08255 https://arxiv.org/pdf/2510.08255

Opponent Shaping in LLM Agents
Large Language Models (LLMs) are increasingly being deployed as autonomous agents in real-world environments. As these deployments scale, multi-agent interactions become inevitable, making it essential to understand strategic behavior in such systems. A central open question is whether LLM agents, like reinforcement learning agents, can shape the learning dynamics and influence the behavior of others through interaction alone. In this paper, we present the first investigation of opponent shapin…

Fibration Symmetries and Cluster Synchronization in Multi-Body Systems
Margherita Bert\`e, Tommaso Gili
https://arxiv.org/abs/2510.11207 https://arxiv.org/…

Fibration Symmetries and Cluster Synchronization in Multi-Body Systems
Based on recent advances in fibration symmetry theory, we investigate how structural symmetries influence synchronization in systems with higher-order interactions (HOI). Using bipartite graph representations, we identify a node partition in fibres, based on equivalent incidence relations in hypergraphs. We study how identical nodes with an isomorphic input set can synchronize due to structural properties under our specific model assumptions, examining the dynamical model of Kuramoto with highe…

The influence of tight binaries on proto-planetary disk masses
Kevin Flaherty, Peter Knowlton, Tasan Smith-Gandy, A. Meredith Hughes, Marina Kounkel, Eric Jensen, James Muzerolle, Kevin Covey
https://arxiv.org/abs/2510.09823

The influence of tight binaries on proto-planetary disk masses
Binary systems are a common site of planet formation, despite the destructive effects of the binary on the disk. While surveys of planet forming material have found diminished disk masses around medium separation ($\sim$10--100 au) binaries, less is known about tight ($<$10 au) binaries, where a significant circumbinary disk may escape the disruptive dynamical effects of the binary. We survey over 100 spectroscopic binaries in the Orion A region with ALMA, detecting significant continuum emissi…

Exploring Database Normalization Effects on SQL Generation
Ryosuke Kohita
https://arxiv.org/abs/2510.01989 https://arxiv.org/pdf/2510.01989

Exploring Database Normalization Effects on SQL Generation
Schema design, particularly normalization, is a critical yet often overlooked factor in natural language to SQL (NL2SQL) systems. Most prior research evaluates models on fixed schemas, overlooking the influence of design on performance. We present the first systematic study of schema normalization's impact, evaluating eight leading large language models on synthetic and real-world datasets with varied normalization levels. We construct controlled synthetic datasets with formal normalization (1N…

Neural Network-Based Single-Carrier Joint Communication and Sensing: Loss Design, Constellation Shaping and Precoding
Charlotte Muth, Benedikt Geiger, Daniel Gil Gaviria, Laurent Schmalen
https://arxiv.org/abs/2509.26508

Neural Network-Based Single-Carrier Joint Communication and Sensing: Loss Design, Constellation Shaping and Precoding
We investigate the impact of higher-order modulation formats on the sensing performance of single-carrier joint communication and sensing (JCAS) systems. Several separate components such as a beamformer, a modulator, a target detector, an angle of arrival (AoA) estimator and a communication demapper are implemented as trainable neural networks (NNs). We compare geometrically shaped modulation formats to a classical quadrature amplitude modulation (QAM) scheme. We assess the influence of multi-s…

Artificial Authority: From Machine Minds to Political Alignments. An Experimental Analysis of Democratic and Autocratic Biases in Large-Language Models
Szymon {\L}ukasik, Natalia O\.zegalska-{\L}ukasik
https://arxiv.org/abs/2509.25286

Artificial Authority: From Machine Minds to Political Alignments. An Experimental Analysis of Democratic and Autocratic Biases in Large-Language Models
Political beliefs vary significantly across different countries, reflecting distinct historical, cultural, and institutional contexts. These ideologies, ranging from liberal democracies to rigid autocracies, influence human societies, as well as the digital systems that are constructed within those societies. The advent of generative artificial intelligence, particularly Large Language Models (LLMs), introduces new agents in the political space-agents trained on massive corpora that replicate a…

Measuring the measurement problem: controlling decoherence with measurement duration in molecular MCB junctions
C. J. Muller
https://arxiv.org/abs/2510.01945 https://

Measuring the measurement problem: controlling decoherence with measurement duration in molecular MCB junctions
We investigate the influence of the measurement duration on quantum coherence in molecular mechanically controlled break junctions operating in a tetrahydrofuran (THF) partially wet phase. These systems represent a distinct class of enclosed open quantum systems with unusually long decoherence times at ambient conditions, on the order of 1-20 ms. By tuning the integration time of the current measurement in current-voltage (IV) characteristics, relative to the decoherence time, we observe a tran…

Webinar: More Than Just Choice: How Religion, Race, and Identity Influence Food Decisions https://networks.h-net.org/group/announcements/20134839/webinar-more-just-choice-how-religion-race-and-identity-influence-food

Webinar: More Than Just Choice: How Religion, Race, and Identity Influence Food Decisions
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The impact of internal versus external perturbations on close-in exoplanet architectures
Christina Schoettler, James E Owen
https://arxiv.org/abs/2510.03401 https://

The impact of internal versus external perturbations on close-in exoplanet architectures
Young planetary systems are subjected to different dynamical effects that can influence their orbital structure over time. In systems with more than one planet, other planets can internally influence each other, e.g. via planet-planet scattering. External perturbing effects also need to be taken into account, as stars do not form by themselves but together with other stars in young star-forming regions. This birth environment can externally affect young multi-planet systems, e.g. via fly-bys. P…

The Hourglass-shaped Magnetic Fields and Dust Filaments in the HH 211 Protostellar Envelope
Youngwoo Choi, Woojin Kwon, Leslie W. Looney, Ian W. Stephens, Zhi-Yun Li, Floris F. S. van der Tak, John J. Tobin
https://arxiv.org/abs/2509.25764

The Hourglass-shaped Magnetic Fields and Dust Filaments in the HH 211 Protostellar Envelope
Magnetic fields influence the structure and evolution of protostellar systems, thus understanding their role is essential for probing the earliest stages of star formation. We present ALMA Band 3 and 6 polarized continuum observations at $\sim$0.5$^{\prime \prime}$ resolution toward the Class 0 protostellar system HH 211. Three dust filaments ($\sim$4000 au in length) are found in the HH 211 protostellar envelope, two of which are aligned with core-scale ($\sim$10,000 au) magnetic fields detect…

Webinar: More Than Just Choice: How Religion, Race, and Identity Influence Food Decisions
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Polka-dotted Stars II: Starspots and obliquities of Kepler-17 and Kepler-63
Sabina Sagynbayeva, Will M. Farr
https://arxiv.org/abs/2510.07130 https://arxiv…

Polka-dotted Stars II: Starspots and obliquities of Kepler-17 and Kepler-63
Starspots trace stellar magnetic activity and influence both stellar evolution and exoplanet characterization. While occultation-based spot analyses have been applied to individual systems, comparative studies remain limited. We apply the StarryStarryProcess Bayesian surface-mapping framework to archival Kepler light curves of two planet hosts, Kepler-63 and Kepler-17, extending the validation established on TOI-3884 (Paper I). Across both systems, we infer characteristic spot radii smaller tha…

Webinar: More Than Just Choice: How Religion, Race, and Identity Influence Food Decisions
https://ift.tt/q8bmM9Z
Mining the Logs: Sources on Blue Humor URL …
via Input 4 RELCFP https://

Webinar: More Than Just Choice: How Religion, Race, and Identity Influence Food Decisions
https://ift.tt/JMzopvA
Mining the Logs: Sources on Blue Humor URL …
via Input 4 RELCFP https://

Webinar: More Than Just Choice: How Religion, Race, and Identity Influence Food Decisions
https://ift.tt/wsFvjtO
Mining the Logs: Sources on Blue Humor URL …
via Input 4 RELCFP https://