Tootfinder

Detecting and Characterizing Planning in Language Models
Jatin Nainani, Sankaran Vaidyanathan, Connor Watts, Andre N. Assis, Alice Rigg
https://arxiv.org/abs/2508.18098 https://…

Detecting and Characterizing Planning in Language Models
Modern large language models (LLMs) have demonstrated impressive performance across a wide range of multi-step reasoning tasks. Recent work suggests that LLMs may perform planning - selecting a future target token in advance and generating intermediate tokens that lead towards it - rather than merely improvising one token at a time. However, existing studies assume fixed planning horizons and often focus on single prompts or narrow domains. To distinguish planning from improvisation across mode…

This is such a good summary of "the problem with 'data science'", as it tries to replace any domain expertise with the misguided notion that some form of statistics.
And so you end up with (maybe even well-meaning) researchers that are so far in over their head that they don't even know what they don't know.
Case in point: the authors of the preprint come from mathematics, computer science, physics, and 'future studies' (lol)…
@…

A Comprehensive Review of Agricultural Parcel and Boundary Delineation from Remote Sensing Images: Recent Progress and Future Perspectives
Juepeng Zheng, Zi Ye, Yibin Wen, Jianxi Huang, Zhiwei Zhang, Qingmei Li, Qiong Hu, Baodong Xu, Lingyuan Zhao, Haohuan Fu
https://arxiv.org/abs/2508.14558

A Comprehensive Review of Agricultural Parcel and Boundary Delineation from Remote Sensing Images: Recent Progress and Future Perspectives
Powered by advances in multiple remote sensing sensors, the production of high spatial resolution images provides great potential to achieve cost-efficient and high-accuracy agricultural inventory and analysis in an automated way. Lots of studies that aim at providing an inventory of the level of each agricultural parcel have generated many methods for Agricultural Parcel and Boundary Delineation (APBD). This review covers APBD methods for detecting and delineating agricultural parcels and syst…

Studies: women are 25% less likely than men to have basic digital skills, are more likely to be in automation-threatened jobs, and use ChatGPT less at work (Isabel Berwick/Financial Times)
https://www.ft.com/content/7f0fbd7d-011a-448d-9d23-8a8db2006df4

Women are lagging behind on AI but they can catch up
Curiosity, experimentation and learning are crucial if women are to shape the future of work

Modeling Targets and Optimal Frequencies for Imaging the Shadows of Nearby Supermassive Black Holes
J. Cole Faggert, Feryal Ozel, Dimitrios Psaltis
https://arxiv.org/abs/2506.15783

Modeling Targets and Optimal Frequencies for Imaging the Shadows of Nearby Supermassive Black Holes
Horizon-scale imaging of supermassive black holes has opened a new window onto the studies of strong-field gravity and plasma physics in low-luminosity accretion flows. As future efforts aim to image fainter and smaller angular-size targets, primarily through space-based very long baseline interferometry (VLBI), it is important to identify optimal sources and observing strategies for such studies. In this work, we assess the prospects for imaging black hole shadows in a broad population of near…

Unmodulated Visible Light Positioning: A Deep Dive into Techniques, Studies, and Future Prospects
Morteza Alijani, Wout Joseph, David Plets
https://arxiv.org/abs/2507.13080

Unmodulated Visible Light Positioning: A Deep Dive into Techniques, Studies, and Future Prospects
Visible Light Positioning (VLP) has emerged as a promising technology for next-generation indoor positioning systems (IPS), particularly within the scope of sixth-generation (6G) wireless networks. Its attractiveness stems from leveraging existing lighting infrastructures equipped with light-emitting diodes (LEDs), enabling cost-efficient deployments and achieving high-precision positioning accuracy in the centimeter-todecimeter range. However, widespread adoption of traditional VLP solutions f…

Becoming Green: Decomposing the Macroeconomic Effects of Green Technology News Shocks
Oscar Jaulin, Andrey Ramos
https://arxiv.org/abs/2507.18386 https://a…

Becoming Green: Decomposing the Macroeconomic Effects of Green Technology News Shocks
This paper studies the macroeconomic effects of news about future technological advancements in the green sector. Utilizing the economic value of green patents granted to publicly listed companies in the U.S., we identify green technology news shocks via a convenient and meaningful rotation of the innovations from a Bayesian Vector Autorregresion Model (BVAR). These shocks are decomposed into two orthogonal components: i) a common technological component shared by both green and non-green innov…

X-ray emission signatures of galactic feedback in the hot circumgalactic medium: predictions from cosmological hydrodynamical simulations
Emily M. Silich, John ZuHone, Elena Bellomi, Cameron Hummels, Benjamin Oppenheimer, Philip F. Hopkins, Cassandra Lochhaas, Sam B. Ponnada, Alexey Vikhlinin
https://arxiv.org/abs/2506.17440

X-ray emission signatures of galactic feedback in the hot circumgalactic medium: predictions from cosmological hydrodynamical simulations
Little is currently known about the physical properties of the hot circumgalactic medium (CGM) surrounding massive galaxies. Next-generation X-ray observatories will enable detailed studies of the hot CGM in emission. To support these future efforts, we make predictions of the X-ray emission from the hot CGM using a sample of 28 $\sim$Milky Way-mass disk galaxies at $z=0$ from seven cosmological hydrodynamical simulation suites incorporating a wide range of galactic feedback prescriptions. The …

Forecasting Faculty Placement from Patterns in Co-authorship Networks
Samantha Dies, David Liu, Tina Eliassi-Rad
https://arxiv.org/abs/2507.14696 https://

Forecasting Faculty Placement from Patterns in Co-authorship Networks
Faculty hiring shapes the flow of ideas, resources, and opportunities in academia, influencing not only individual career trajectories but also broader patterns of institutional prestige and scientific progress. While traditional studies have found strong correlations between faculty hiring and attributes such as doctoral department prestige and publication record, they rarely assess whether these associations generalize to individual hiring outcomes, particularly for future candidates outside …

Non-differentiable Reward Optimization for Diffusion-based Autonomous Motion Planning
Giwon Lee, Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon
https://arxiv.org/abs/2507.12977

Non-differentiable Reward Optimization for Diffusion-based Autonomous Motion Planning
Safe and effective motion planning is crucial for autonomous robots. Diffusion models excel at capturing complex agent interactions, a fundamental aspect of decision-making in dynamic environments. Recent studies have successfully applied diffusion models to motion planning, demonstrating their competence in handling complex scenarios and accurately predicting multi-modal future trajectories. Despite their effectiveness, diffusion models have limitations in training objectives, as they approxim…

Studies suggest AI chatbots' sycophantic design may increase narcissism among young and vulnerable users, potentially altering personality traits at scale (Derek Thompson)
https://www.derekthompson.org/p/ai-will-create-a-social-crisis-long

The Looming Social Crisis of AI Friends and Chatbot Therapists
"I can imagine a future where a lot of people really trust ChatGPT’s advice for their most important decisions," Sam Altman said. "Although that could be great, it makes me uneasy." Me too, Sam.

Upcoming special issue in Urban Planning (cogitatio): Citizen-Centric Urban Planning Through Participatory Sensing Data and Digital Tools
https://www.cogitatiopress.com/urbanplanning/issue/futureissues#i530
Abstract submission deadline in December.

Future Issues | Urban Planning
Urban Planning is a new international peer-reviewed open access journal of urban studies

ECFA Higgs, electroweak, and top Factory Study
Abidi, Aguilar-Saavedra, Airen, Ajmal, Al-Thakeel, Alberghi, Maestre, Alimena, Alshamaily, Altmann, Altmannshofer, Amhis, Amiri, Andreazza, Antusch, Arnaez, Assamagan, Aumiller, Azizi, Azzi, Azzurri, Bagnaschi, Baharyioon, Bahl, Balagura, Barducci, Basso, Bechtle, Bellagamba, Berggren, Bernardi, Bhom, Biermann, Blekman, Bliewert, Bordone, Boudry, Boye, Bozovic, Braathen, Brient, Brodbek, Brost, Bruckman, Brudnowski, Bulliri, Bulyak, Burrid…

ECFA Higgs, electroweak, and top Factory Study
The ECFA Higgs, electroweak, and top Factory Study ran between 2021 and 2025 as a broad effort across the experimental and theoretical particle physics communities, bringing together participants from many different proposed future collider projects. Activities across three main working groups advanced the joint development of tools and analysis techniques, fostered new considerations of detector design and optimisation, and led to a new set of studies resulting in improved projected sensitivit…

How LLMs are Shaping the Future of Virtual Reality
S\"ueda \"Ozkaya, Santiago Berrezueta-Guzman, Stefan Wagner
https://arxiv.org/abs/2508.00737 https://

How LLMs are Shaping the Future of Virtual Reality
The integration of Large Language Models (LLMs) into Virtual Reality (VR) games marks a paradigm shift in the design of immersive, adaptive, and intelligent digital experiences. This paper presents a comprehensive review of recent research at the intersection of LLMs and VR, examining how these models are transforming narrative generation, non-player character (NPC) interactions, accessibility, personalization, and game mastering. Drawing from an analysis of 62 peer reviewed studies published b…

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications
Srikanth Thudumu, Jason Fisher, Hung Du
https://arxiv.org/abs/2505.24765

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications
Supervised Quantum Machine Learning (QML) represents an intersection of quantum computing and classical machine learning, aiming to use quantum resources to support model training and inference. This paper reviews recent developments in supervised QML, focusing on methods such as variational quantum circuits, quantum neural networks, and quantum kernel methods, along with hybrid quantum-classical workflows. We examine recent experimental studies that show partial indications of quantum advantag…

Comparing Malaria Trends in the Comoros Islands: ARIMA Modeling and Retrospective Analysis
D. Baidoo, E. Kubuafor, O. O. Joshua, S. F. Osarfo, F. A. Agyei-Owusu, J. Akuoko-Frimpong, N. Appiah, A. Duah, R. Amevor, F. E. Boateng, F. Aboagye, B. Benyi
https://arxiv.org/abs/2508.16018

Comparing Malaria Trends in the Comoros Islands: ARIMA Modeling and Retrospective Analysis
Malaria remains a serious health challenge in the Comoros Islands, despite ongoing control efforts. Past studies have shown reductions in cases due to prevention and treatment measures, but little work has been done to forecast future malaria deaths and assess the long-term impact of these measures. Malaria mortality data from 1990 to 2019 were analyzed using an ARIMA(1,0,0) model. The model was validated through diagnostic tests, ensuring reliability for forecasting trends. The study confirmed…

A Refined Alternating Optimization for Sum Rate Maximization in SIM-Aided Multiuser MISO Systems
Eduard E. Bahingayi, Shuying Lin, Murat Uysal, Marco Di Renzo, Le-Nam Tran
https://arxiv.org/abs/2508.15257

A Refined Alternating Optimization for Sum Rate Maximization in SIM-Aided Multiuser MISO Systems
Stacked intelligent metasurfaces (SIMs) have emerged as a disruptive technology for future wireless networks. To investigate their capabilities, we study the sum rate maximization problem in an SIM-based multiuser (MU) multiple-input single-output (MISO) downlink system. A vast majority of pioneer studies, if not all, address this fundamental problem using the prevailing alternating optimization (AO) framework, where the digital beamforming (DB) and SIM phase shifts are optimized alternately. H…

Representation of Archimedean Networks and Inclusion: Computational Applications to Percolation and Network Transitions
Auro Anibal Torres, Jos\'e Antonio Ramirez-Pastor
https://arxiv.org/abs/2507.12229

Representation of Archimedean Networks and Inclusion: Computational Applications to Percolation and Network Transitions
We present an alternative geometric representation for the eleven Archimedean lattices, in which each site and bond is uniquely labeled by an ordered pair of integers and characterized via a modular function. This structured labeling enables efficient and systematic implementation of computational models on these lattices, without relying on ad hoc indexing, and provides a versatile framework for future studies on regular tilings. As an application, we obtain, for each Archimedean lattice, th…

Searching for the neutral triple gauge couplings in the process $\mu^ \mu^-\to \gamma \nu\bar{\nu}$ at muon colliders
Wei Xie, Ji-Chong Yang
https://arxiv.org/abs/2507.08681

Searching for the neutral triple gauge couplings in the process $μ^+μ^-\to γν\barν$ at muon colliders
We investigate the sensitivity of future high-energy muon colliders to neutral triple gauge couplings (nTGCs) through the process $μ^{+}μ^{-}\toγν\barν$ within the Standard Model Effective Field Theory (SMEFT) framework. Extending beyond previous studies, we consider a set of 14 dimension-8 operators, including both Higgs-related and pure gauge structures. By computing the cross sections and performing Monte Carlo simulations at multiple center-of-mass energies (3 - 30 TeV), we demonstrate…

OpenSN: An Open Source Library for Emulating LEO Satellite Networks
Wenhao Lu, Zhiyuan Wang, Hefan Zhang, Shan Zhang, Hongbin Luo
https://arxiv.org/abs/2507.03248

OpenSN: An Open Source Library for Emulating LEO Satellite Networks
Low-earth-orbit (LEO) satellite constellations (e.g., Starlink) are becoming a necessary component of future Internet. There have been increasing studies on LEO satellite networking. It is a crucial problem how to evaluate these studies in a systematic and reproducible manner. In this paper, we present OpenSN, i.e., an open source library for emulating large-scale satellite network (SN). Different from Mininet-based SN emulators (e.g., LeoEM), OpenSN adopts container-based virtualization, thus …

Photon rings in a holographic toy model
St\'ephane Detournay, Sahaja Kanuri, Alexandru Lupsasca, Philippe Spindel, Quentin Vandermiers, Raphaela Wutte
https://arxiv.org/abs/2506.07989

Photon rings in a holographic toy model
Light circling around an astrophysical black hole can spend a long time skirting its unstably bound photon orbits before escaping to infinity. To a distant observer, this orbiting light would appear as a bright ring encircling the image of the black hole. Though not yet resolved by radio-interferometric observations from the ground, this ``photon ring'' will be the target of future space-based black hole observations. Motivated by this experimental prospect, studies have sought to elucidate the…

A flexible, GPU-accelerated approach for the joint characterization of LISA instrumental noise and Stochastic Gravitational Wave Backgrounds
Alessandro Santini, Martina Muratore, Jonathan Gair, Olaf Hartwig
https://arxiv.org/abs/2507.06300

A flexible, GPU-accelerated approach for the joint characterization of LISA instrumental noise and Stochastic Gravitational Wave Backgrounds
LISA data analysis represents one of the most challenging tasks ahead for the future of gravitational-wave (GW) astronomy. Characterizing the instrument's noise properties while fitting for all the other detectable sources is a key requirement of any robust inference pipeline. Noise estimation will also play a crucial role in searches and parameter estimation of cosmological and astrophysical stochastic signals. Previous studies have tackled this topic by assuming perfect knowledge of the spect…

Assessing Future Wind Energy Potential under Climate Change: The Critical Role of Multi-Model Ensembles in Robustness Assessment
Andrea Lira-Loarca, Francesco Ferrari, Andrea Mazzino
https://arxiv.org/abs/2505.24463

Assessing Future Wind Energy Potential under Climate Change: The Critical Role of Multi-Model Ensembles in Robustness Assessment
Accurate projections of wind energy potential under climate change are critical for effective long-term energy planning. While previous studies have highlighted the value of multi-model ensembles, they often fall short in capturing the full spectrum of uncertainties and temporal dynamics relevant to wind resource reliability. This paper presents one of the most comprehensive assessments to date, leveraging a large ensemble of 21 high-resolution RCM-GCM combinations from the EURO-CORDEX initiati…

Probing Strong-Field QED via Angle-Discriminated Emissions from Electrons Traversing Colliding Laser Pulses
C. Olofsson, A. Gonoskov
https://arxiv.org/abs/2506.08741

Probing Strong-Field QED via Angle-Discriminated Emissions from Electrons Traversing Colliding Laser Pulses
Future laser-electron colliders will reach quantum parameters $χ$ well in excess of unity, enabling studies of strong-field QED in extreme regimes. However, statistical inference in such experiments requires mitigating premature radiative losses of electrons to enable high-$χ$ QED events, as well as separating the detectable signal of these events from that of lower-$χ$ particles and photons produced by QED cascades. We propose a collider geometry in which electrons traverse the waist of two…

Analytical and Numerical Studies of Dark Current in Radiofrequency Structures for Short-Pulse High-Gradient Acceleration
Gaurab Rijal, Michael Shapiro, Xueying Lu
https://arxiv.org/abs/2507.04483

Analytical and Numerical Studies of Dark Current in Radiofrequency Structures for Short-Pulse High-Gradient Acceleration
High-gradient acceleration is a key research area that could enable compact linear accelerators for future colliders, light sources, and other applications. In the pursuit of high-gradient operation, RF breakdown limits the attainable accelerating gradient in normal-conducting RF structures. Recent experiments at the Argonne Wakefield Accelerator suggest a promising approach: using short RF pulses with durations of a few nanoseconds. Experimental studies show that these O(1 ns) RF pulses can mi…

Extremely Large-Scale Movable Antenna-Enabled Multiuser Communications: Modeling and Optimization
Min Fu, Lipeng Zhu, Rui Zhang
https://arxiv.org/abs/2506.02735

Extremely Large-Scale Movable Antenna-Enabled Multiuser Communications: Modeling and Optimization
Movable antenna (MA) has been recognized as a promising technology to improve communication performance in future wireless networks such as 6G. To unleash its potential, this paper proposes a novel architecture, namely extremely large-scale MA (XL-MA), which allows flexible antenna/subarray positioning over an extremely large spatial region for effectively enhancing near-field effects and spatial multiplexing performance. In particular, this paper studies an uplink XL-MA-enabled multiuser syste…

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Resolution Studies for Future DIRC Detectors
The resolution of Cherenkov detectors using the DIRC method is mainly limited by three components: photon loss due to steep angles of incidence, dispersion effects, and angle straggling due to the Coulomb interaction of the charged particle. This paper highlights the general limitations of any generic DIRC detector, based on studies for the proposed experiments PANDA in Darmstadt and SCTF in Russia. These studies used theoretical calculations and simplified Monte-Carlo simulations to obtain an …

This https://arxiv.org/abs/2505.24765 has been replaced.
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Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications
Supervised Quantum Machine Learning (QML) represents an intersection of quantum computing and classical machine learning, aiming to use quantum resources to support model training and inference. This paper reviews recent developments in supervised QML, focusing on methods such as variational quantum circuits, quantum neural networks, and quantum kernel methods, along with hybrid quantum-classical workflows. We examine recent experimental studies that show partial indications of quantum advantag…

Low-Rank Structured Nonparametric Prediction of Instantaneous Volatility
Sung Hoon Choi, Donggyu Kim
https://arxiv.org/abs/2507.22173 https://arxiv.org/pdf…

Low-Rank Structured Nonparametric Prediction of Instantaneous Volatility
Based on Itô semimartingale models, several studies have proposed methods for forecasting intraday volatility using high-frequency financial data. These approaches typically rely on restrictive parametric assumptions and are often vulnerable to model misspecification. To address this issue, we introduce a novel nonparametric prediction method for the future intraday instantaneous volatility process during trading hours, which leverages both previous days' data and the current day's observed in…

iBreath: Usage Of Breathing Gestures as Means of Interactions
Mengxi Liu, Daniel Gei{\ss}ler, Deepika Gurung, Hymalai Bello, Bo Zhou, Sizhen Bian, Paul Lukowicz, Passant Elagroudy
https://arxiv.org/abs/2507.04162

iBreath: Usage Of Breathing Gestures as Means of Interactions
Breathing is a spontaneous but controllable body function that can be used for hands-free interaction. Our work introduces "iBreath", a novel system to detect breathing gestures similar to clicks using bio-impedance. We evaluated iBreath's accuracy and user experience using two lab studies (n=34). Our results show high detection accuracy (F1-scores > 95.2%). Furthermore, the users found the gestures easy to use and comfortable. Thus, we developed eight practical guidelines for the future develo…

Continuum optical-UV and X-ray variability of AGN: current results and future challenges
Maurizio Paolillo, Iossif Papadakis
https://arxiv.org/abs/2506.23899

Continuum optical-UV and X-ray variability of AGN: current results and future challenges
Active Galactic Nuclei (AGN) are believed to be powered by accretion of matter onto a supermassive black hole. A fundamental ingredient in shaping our understanding of AGN is their variability across the entire electromagnetic spectrum. Variability studies have the potential to help us understand the geometry of the emitting regions (in various energy bands), their causal relations, and the physics of the accretion processes. This review focuses on the observational properties of AGN variabilit…

Null infinity as $SU(2)$ Chern-Simons theories and its quantization
Hongwei Tan, Kui Xiao, Shoucheng Wang
https://arxiv.org/abs/2508.04220 https://arxiv.or…

Null infinity as $SU(2)$ Chern-Simons theories and its quantization
This paper studies the quantization of the future null infinity ($\mathscr{I}^+$) of an asymptotically flat spacetime. Based on the observation by Ashtekar and Speziale that $\mathscr{I}^+$ can be regarded as a weakly isolated horizon, we adopt the quantization framework developed for weakly horizon to quantize $\mathscr{I}^+$. We first show that the symplectic structure of $\mathscr{I}^+$ is equivalent to the sum of the symplectic structures of two $SU(2)$ Chern-Simons theories with opposite l…

Heavy flavored hydrogen molecule systems
Hui-Min Yang, Yao Ma, Shi-Lin Zhu
https://arxiv.org/abs/2507.21498 https://arxiv.org/pdf/2507.21498 https://arxiv.org/html/2507.21498
arXiv:2507.21498v1 Announce Type: new
Abstract: This study provides a comprehensive analysis of $S$-wave exotic hydrogen-like three-body systems ($pp\mu^-$, $pp\tau^-$, $\mu^-\mu^-p$, $\tau^-\tau^-p$, $p\mu^-\tau^-$) with spin-parity $J^P = 1/2^ $ and $3/2^ $, and four-body systems ($pp\mu^-\mu^-$, $pp\tau^-\tau^-$) with $J^P = 0^ $, $1^ $, and $2^ $. We use complex scaling and Gaussian expansion methods to solve the complex-scaled Schr\"{o}dinger equation and obtain possible bound and quasi-bound states. The resulting binding energies range from $-33.8$~keV to $-340$~eV. Notably, we present the first theoretical estimation of the bound-state energy levels of $pp\mu^-\mu^-$ and $pp\tau^-\tau^-$, which is of significant importance for understanding exotic few-body Coulomb systems. We further analyze spin configurations and root-mean-square radii to elucidate the spatial structure of these bound and quasi-bound states. Our results reveal that $K$-type spatial configurations play a crucial role in accurately describing bound and quasi-bound states in the hydrogen-molecule-like systems $pp\mu^-\mu^-$ and $pp\tau^-\tau^-$. Incorporating $K$-type configurations significantly alters the mass spectra of these states. Future muon colliders and muon facilities may offer promising platforms for the possible copious production of such heavy flavored hydrogen molecules and molecular ions. For instance, scattering processes such as $2\mu^- \mathrm{H_2} \to \mathrm{H_{2\mu}} 2e^-$, $\mu^- \mathrm{H_2} \to \mathrm{H_{\mu e}} e^-$, and $\mu^- \mathrm{H_2^ } \to \mathrm{H_{2\mu}^ } e^-$ could be utilized, facilitating detailed studies of intriguing states such as $\mathrm{H_{2\mu}}$, $\mathrm{H_{\mu e}}$, and $\mathrm{H_{2\mu}^ }$.
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Low-velocity large-scale shocks in the infrared dark cloud G035.39-00.33: bubble-driven cloud-cloud collisions
G. Cosentino (Institut de Radioastronomie Millim\'etrique, France), I. Jim\'enez-Serra (Centro de Astrobiolog\`ia), R. Liu (National Astronomical Observatories of China, Chinese Academy of Sciences, China), C. -Y. Law (INAF Osservatorio Astronomico di Arcetri, Italy), J. C. Tan (Department of Space, Earth and Environment, Chalmers University of Technology, Sweden, Depa…

Low-velocity large-scale shocks in the infrared dark cloud G035.39-00.33: bubble-driven cloud-cloud collisions
Low-velocity large-scale shocks impacting on the ISM may efficiently shape molecular clouds and trigger star formation within them. These shocks, both driven by galactic bubbles and/or cloud-cloud collisions, leave specific signatures in the gas morphology and kinematics. Observational studies of such signatures are crucial to investigate if and how shocks affect the clouds formation process and trigger their future star formation. We have analysed the shocked and dense gas tracers SiO(2-1) and…

This https://arxiv.org/abs/2505.20552 has been replaced.
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Effect of laboratory conditions on the perception of virtual stages for music
This manuscript presents initial findings critical for supporting augmented acoustics experiments in custom-made hearing booths, addressing a key challenge in ensuring perceptual validity and experimental rigor in these highly sensitive setups. This validation ensures our proposed methodology is sound, guarantees the reliability of future results, and lays the foundational groundwork for subsequent perceptual studies and the development of robust guidelines for laboratory design in virtual acou…

Do conditional cash transfers in childhood increase economic resilience in adulthood? Evidence from the COVID-19 pandemic shock in Ecuador
Jos\'e-Ignacio Ant\'on, Ruthy Intriago, Juan Ponce
https://arxiv.org/abs/2506.06903

Do conditional cash transfers in childhood increase economic resilience in adulthood? Evidence from the COVID-19 pandemic shock in Ecuador
The primary goal of conditional cash transfers (CCTs) is to alleviate short-term poverty while preventing the intergenerational transmission of deprivation by promoting the accumulation of human capital among children. Although a substantial body of research has evaluated the short-run impacts of CCTs, studies on their long-term effects are relatively scarce, and evidence regarding their influence on resilience to future economic shocks is limited. As human capital accumulation is expected to e…

Impact of the $(\ell=2,m=0)$ spherical harmonic mode with memory on parameter estimation for ground-based detectors
Maria Rossell\'o-Sastre, Sascha Husa, Sayantani Bera, Yumeng Xu
https://arxiv.org/abs/2506.05859

Impact of the $(\ell=2,m=0)$ spherical harmonic mode with memory on parameter estimation for ground-based detectors
We recently presented an efficient and accurate waveform model for the $(2,0)$ spherical harmonic mode including both the displacement memory contribution and the ringdown oscillations for aligned-spin binary black holes in quasi-circular orbits. The model we developed is constructed in time domain and implemented within the computationally efficient IMRPhenomTHM waveform model. In this article, we employ it to perform in-depth parameter estimation studies for future ground-based detectors, spe…

This https://arxiv.org/abs/2505.02748 has been replaced.
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Measuring Interstellar Carbon Abundance via 158 um [CII] Absorption with SOFIA -- A Potential Detection, and Proof-of-Concept for Depletion Studies with Future Far-IR Facilities
Carbon plays key roles in the InterStellar Medium (ISM) -- as a constituent of dust, as the carrier of the dominant far-infrared cooling line, and as a component of various important molecules. But despite this, there are very few measurements of the abundance and depletion of carbon in the diffuse ISM. As with other elements, these measurements are traditionally performed in the ultraviolet. But for carbon, such measurements are extremely difficult, and less than 20 have been reported in the l…

This https://arxiv.org/abs/2506.01696 has been replaced.
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Missing Data in Signal Processing and Machine Learning: Models, Methods and Modern Approaches
The goal of this tutorial is to provide an overview of recent methods for handling missing data in signal processing methods, from their origins to the challenges ahead. Missing data approaches are grouped by three main categories: i) missing-data imputation, ii) estimation with missing values and iii) prediction with missing values. We focus on methodological and experimental results through specific case studies on real-world applications. Promising and future research directions, including a…

This https://arxiv.org/abs/2505.11292 has been replaced.
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Status of the International Linear Collider
This paper is not a proposal for a CERN future project but provides information on the International Linear Collider (ILC) considered for Japan in order to facilitate the European Strategy discussion in a global context. It describes progress to date, ongoing engineering studies, updated cost estimate for the machine at $\sqrt{s}=250~\rm GeV$ and the situation in Japan. The physics of the ILC is not presented here, but jointly for all Linear Collider projects in a separate document ``A Linear C…

Impact of the $(\ell=2,m=0)$ spherical harmonic mode with memory on parameter estimation for ground-based detectors
Maria Rossell\'o-Sastre, Sascha Husa, Sayantani Bera, Yumeng Xu
https://arxiv.org/abs/2506.05859

Impact of the $(\ell=2,m=0)$ spherical harmonic mode with memory on parameter estimation for ground-based detectors
We recently presented an efficient and accurate waveform model for the $(2,0)$ spherical harmonic mode including both the displacement memory contribution and the ringdown oscillations for aligned-spin binary black holes in quasi-circular orbits. The model we developed is constructed in time domain and implemented within the computationally efficient IMRPhenomTHM waveform model. In this article, we employ it to perform in-depth parameter estimation studies for future ground-based detectors, spe…

Missing Data in Signal Processing and Machine Learning: Models, Methods and Modern Approaches
A. Hippert-Ferrer, A. Sportisse, A. Javaheri, M. N. El Korso, D. P. Palomar
https://arxiv.org/abs/2506.01696

Missing Data in Signal Processing and Machine Learning: Models, Methods and Modern Approaches
The goal of this tutorial is to provide an overview of recent methods for handling missing data in signal processing methods, from their origins to the challenges ahead. Missing data approaches are grouped by three main categories: i) missing-data imputation, ii) estimation with missing values and iii) prediction with missing values. We focus on methodological and experimental results through specific case studies on real-world applications. Promising and future research directions, including a…

This https://arxiv.org/abs/2504.09460 has been replaced.
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Imprints of extra dimensions in eccentric eccentric extreme-mass-ratio inspirals gravitational waveforms
Studies regarding extra-dimensions have been of great interest in modern theoretical physics, including their observational consequences from future gravitational wave (GW) observatories. In this direction, extreme-mass-ratio inspirals (EMRIs), attracting considerable interest in GW astronomy and fundamental physics, can potentially provide a useful platform for the search of extra dimensions. In this paper, we examine a rotating braneworld black hole in the context of equatorial eccentric EMRI…

Risk and Reward of Transitioning from a National to a Zonal Electricity Market in Great Britain
Lukas Franken, Andrew Lyden, Daniel Friedrich
https://arxiv.org/abs/2506.04107

Risk and Reward of Transitioning from a National to a Zonal Electricity Market in Great Britain
More spatially granular electricity wholesale markets promise more efficient operation and better asset siting in highly renewable power systems. Great Britain is considering moving from its current single-price national wholesale market to a zonal design. Existing studies reach varying and difficult-to-reconcile conclusions about the desirability of a zonal market in GB, partly because they rely on models that vary in their transparency and assumptions about future power systems. Using a novel…

This https://arxiv.org/abs/2504.09460 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Imprints of extra dimensions in eccentric eccentric extreme-mass-ratio inspirals gravitational waveforms
Studies regarding extra-dimensions have been of great interest in modern theoretical physics, including their observational consequences from future gravitational wave (GW) observatories. In this direction, extreme-mass-ratio inspirals (EMRIs), attracting considerable interest in GW astronomy and fundamental physics, can potentially provide a useful platform for the search of extra dimensions. In this paper, we examine a rotating braneworld black hole in the context of equatorial eccentric EMRI…