Tootfinder

Policy, Risk, and Norms Shape Collective Behaviors Worldwide
Dhruv Mittal, Sara M. Constantino, Simon A. Levin, Peter Sloot, Elke U. Weber, V\'itor V. Vasconcelos
https://arxiv.org/abs/2508.15098

Policy, Risk, and Norms Shape Collective Behaviors Worldwide
Societal responses to environmental change vary widely, even under comparable shocks, reflecting differences in both policy measures and public reactions shaped by cultural and socioeconomic contexts. We examine mask-wearing dynamics across 47 countries during the COVID-19 pandemic using a process-based, utility-driven model of individual behavior with three evolving drivers: policy stringency, disease risk, and social norms to understand emergent collective behavior. Calibrated with daily data…

Extension of the CC($P$;$Q$) Formalism to the Electron Attachment and Ionization Potential Equation-of-Motion Coupled-Cluster Frameworks
Karthik Gururangan, Stephen H. Yuwono, A. Eugene DePrince III, Piotr Piecuch
https://arxiv.org/abs/2506.16320

Extension of the CC($P$;$Q$) Formalism to the Electron Attachment and Ionization Potential Equation-of-Motion Coupled-Cluster Frameworks
We combine the electron attachment (EA) and ionization potential (IP) equation-of-motion (EOM) coupled-cluster (CC) approaches with the CC($P$;$Q$) formalism. The resulting methodologies are used to describe the electronic states of several open-shell molecules, with the goal of approximating high-level EA/IP-EOMCC energetics corresponding to a full treatment of 3-particle-2-hole (3$p$-2$h$) and 3-hole-2-particle (3$h$-2$p$) excitations on top of CC with singles and doubles (CCSD). We show that…

The impact of stellar rotations and binaries on the shape of upper main sequence near turn off in open cluster NGC\,6067
Jayanand Maurya, Yu Zhang, Sebastian Kamann, Hubiao Niu, Yves Fr\'emat, Kaixiang Lang, Y. C. Joshi, M. R. Samal, Peter De Cat, Ali Esamdin
https://arxiv.org/abs/2507.14433

The impact of stellar rotations and binaries on the shape of upper main sequence near turn off in open cluster NGC\,6067
We present the analysis of the extended Main Sequence Turn-Off (eMSTO) in the open cluster NGC\,6067. We derive the projected rotational velocity, \textit{v}sin\textit{i}, of the stars belonging to the eMSTO region of the main sequence (MS) utilizing \textit{Gaia}-ESO spectra. Our results reveal a positive correlation between \textit{v}sin\textit{i} and the color of eMSTO stars, where fast-rotating stars predominantly occupy the red part of the MS while slow-rotating ones prefer a bluer side of…

Low-Power and Accurate IoT Monitoring Under Radio Resource Constraint
Takaho Shimokasa, Hiroyuki Yomo, Federico Chiariotti, Junya Shiraishi, Petar Popovski
https://arxiv.org/abs/2507.15338

Low-Power and Accurate IoT Monitoring Under Radio Resource Constraint
This paper investigates how to achieve both low-power operations of sensor nodes and accurate state estimation using Kalman filter for internet of things (IoT) monitoring employing wireless sensor networks under radio resource constraint. We consider two policies used by the base station to collect observations from the sensor nodes: (i) an oblivious policy, based on statistics of the observations, and (ii) a decentralized policy, based on autonomous decision of each sensor based on its instant…

Optimal Navigation in Microfluidics via the Optimization of a Discrete Loss
Petr Karnakov, Lucas Amoudruz, Petros Koumoutsakos
https://arxiv.org/abs/2506.15902

Optimal Navigation in Microfluidics via the Optimization of a Discrete Loss
Optimal path planning and control of microscopic devices navigating in fluid environments is essential for applications ranging from targeted drug delivery to environmental monitoring. These tasks are challenging due to the complexity of microdevice-flow interactions. We introduce a closed-loop control method that optimizes a discrete loss (ODIL) in terms of dynamics and path objectives. In comparison with reinforcement learning, ODIL is more robust, up to three orders faster, and excels in hig…

Word Meanings in Transformer Language Models
Jumbly Grindrod, Peter Grindrod
https://arxiv.org/abs/2508.12863 https://arxiv.org/pdf/2508.12863

Word Meanings in Transformer Language Models
We investigate how word meanings are represented in the transformer language models. Specifically, we focus on whether transformer models employ something analogous to a lexical store - where each word has an entry that contains semantic information. To do this, we extracted the token embedding space of RoBERTa-base and k-means clustered it into 200 clusters. In our first study, we then manually inspected the resultant clusters to consider whether they are sensitive to semantic information. In …

Collective action gets the goods, yet again.
It seems that the government didn't think Section 107 would hold up in court (at least not with this strike), and the Air Canada employees effectively called their bluff. This is exactly the kind of stand that needs to be taken to keep labor rights from being rolled further and further back.
(Also, I didn't realize just how tightly connected the government is with Air Canada)

Strike 'Ends Unpaid Work' As Union Reaches Deal With Air Canada – The Rover
Low wages and unpaid labour led to flight attendants using food banks, sleeping in cars.

Chargers reveal gold, navy alternate uniforms, powder blue pants for 2025 season https://www.nfl.com/news/chargers-reveal-gold-navy-alternate-uniforms-powder-blue-pants-2025-season

Frequentist Cosmological Constraints from Full-Shape Clustering Measurements in DESI DR1
James Morawetz, Hanyu Zhang, Marco Bonici, Will Percival, Andrea Crespi, Jessica Nicole Aguilar, Steven Ahlen, Davide Bianchi, David Brooks, Francisco Javier Castander, Todd Claybaugh, Shaun Cole, Andrei Cuceu, Axel de la Macorra, Arnaud de Mattia, Biprateep Dey, Peter Doel, Simone Ferraro, Andreu Font-Ribera, Jaime E. Forero-Romero, Enrique Gazta\~naga, Satya Gontcho A Gontcho, Gaston Gutierrez, C…

Frequentist Cosmological Constraints from Full-Shape Clustering Measurements in DESI DR1
We perform a frequentist analysis using the standard profile likelihood method for clustering measurements from Data Release 1 of the Dark Energy Spectroscopic Instrument (DESI). While Bayesian inferences for Effective Field Theory models of galaxy clustering can be highly sensitive to the choice of priors for extended cosmological models, frequentist inferences are not susceptible to such effects. We compare Bayesian and frequentist constraints for the parameter set $\{σ_8, H_0, Ω_{\rm{m}}, …

Does Language Matter for Early Detection of Parkinson's Disease from Speech?
Peter Plantinga, Briac Cordelle, Dominique Lou\"er, Mirco Ravanelli, Denise Klein
https://arxiv.org/abs/2507.16832 …

Does Language Matter for Early Detection of Parkinson's Disease from Speech?
Using speech samples as a biomarker is a promising avenue for detecting and monitoring the progression of Parkinson's disease (PD), but there is considerable disagreement in the literature about how best to collect and analyze such data. Early research in detecting PD from speech used a sustained vowel phonation (SVP) task, while some recent research has explored recordings of more cognitively demanding tasks. To assess the role of language in PD detection, we tested pretrained models with vary…