Tootfinder

We distinguish "personal unfairness",
-- the view that one’s own economic situation is unfair,
from "social unfairness",
-- the view that the economic situation of others in society is unfair.
Uncertainties associated with the transition to a globalized knowledge economy heighten people’s feelings of personal unfairness
Feelings of personal unfairness increase support for the "populist right"
and feelings about social unfairn…

Left-Wing Populism vs. Right-Wing Populism - What's the Difference? | This vs. That
What's the difference between Left-Wing Populism and Right-Wing Populism? Left-wing populism and right-wing populism are both political movements that aim to...

Optimal Control of ODE Car-Following Models: Applications to Mixed-Autonomy Platoon Control via Coupled Autonomous Vehicles
Arwa Alanqary, Alexandre M. Bayen, Xiaoqian Gong, Anish Gollakota, Alexander Keimer, Ashish Pandian
https://arxiv.org/abs/2508.19417

Optimal Control of ODE Car-Following Models: Applications to Mixed-Autonomy Platoon Control via Coupled Autonomous Vehicles
In this paper, we study the optimal control of a mixed-autonomy platoon driving on a single lane to smooth traffic flow. The platoon consists of autonomous vehicles, whose acceleration is controlled, and human-driven vehicles, whose behavior is described using a microscopic car-following model. We formulate the optimal control problem where the dynamics of the platoon are describing through a system of non-linear ODEs, with explicit constraints on both the state and the control variables. Theor…

Exploring nanoscale metallic multilayer Ta/Cu films: Structure and some insights on deformation and strengthening mechanisms
Daniel Karpinski, Tomas Polcar, Andrey Bondarev
https://arxiv.org/abs/2508.18928

Exploring nanoscale metallic multilayer Ta/Cu films: Structure and some insights on deformation and strengthening mechanisms
Nanoscale metallic multilayer (NMM) films are systems offering insight into the role of interfaces in metal plasticity, deformation, and strengthening mechanisms. Magnetron sputtering was used to fabricate the Ta-Cu NMM films with a periodicity (equal Ta and Cu layer thickness) from 6 to 80 nm, with resulting structure exhibiting strongly incoherent tetragonal beta-Ta and face-centered cubic Cu phase. The high-load indentation test, TEM studies, and the rCLS model collectively demonstrate that …

Electromagnetic Formation Flying Using Alternating Magnetic Field Forces and Control Barrier Functions for State and Input Constraints
Sumit S. Kamat, T. Michael Seigler, Jesse B. Hoagg
https://arxiv.org/abs/2508.18501

Electromagnetic Formation Flying Using Alternating Magnetic Field Forces and Control Barrier Functions for State and Input Constraints
This article presents a feedback control algorithm for electromagnetic formation flying with constraints on the satellites' states and control inputs. The algorithm combines several key techniques. First, we use alternating magnetic field forces to decouple the electromagnetic forces between each pair of satellites in the formation. Each satellite's electromagnetic actuation system is driven by a sum of amplitude-modulated sinusoids, where amplitudes are controlled in order to prescribe the tim…

People Are Highly Cooperative with Large Language Models, Especially When Communication Is Possible or Following Human Interaction
Pawe{\l} Niszczota, Tomasz Grzegorczyk, Alexander Pastukhov
https://arxiv.org/abs/2507.18639

People Are Highly Cooperative with Large Language Models, Especially When Communication Is Possible or Following Human Interaction
Machines driven by large language models (LLMs) have the potential to augment humans across various tasks, a development with profound implications for business settings where effective communication, collaboration, and stakeholder trust are paramount. To explore how interacting with an LLM instead of a human might shift cooperative behavior in such settings, we used the Prisoner's Dilemma game -- a surrogate of several real-world managerial and economic scenarios. In Experiment 1 (N=100), part…

When Instructions Multiply: Measuring and Estimating LLM Capabilities of Multiple Instructions Following
Keno Harada, Yudai Yamazaki, Masachika Taniguchi, Edison Marrese-Taylor, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
https://arxiv.org/abs/2509.21051

When Instructions Multiply: Measuring and Estimating LLM Capabilities of Multiple Instructions Following
As large language models (LLMs) are increasingly applied to real-world scenarios, it becomes crucial to understand their ability to follow multiple instructions simultaneously. To systematically evaluate these capabilities, we introduce two specialized benchmarks for fundamental domains where multiple instructions following is important: Many Instruction-Following Eval (ManyIFEval) for text generation with up to ten instructions, and Style-aware Mostly Basic Programming Problems (StyleMBPP) for…

Light-programmable reorientation of the crystallographic c-axis of Tellurium thin films
Yuta Kobayashi, Arata Mitsuzuka, Haruo Kondo, Makoto Shoshin, Jun Uzuhashi, Tadakatsu Ohkubo, Masamitsu Hayashi, Masashi Kawaguchi
https://arxiv.org/abs/2508.18584

Light-programmable reorientation of the crystallographic c-axis of Tellurium thin films
Tellurium (Te), a two-dimensional material with pronounced structural anisotropy, exhibits exceptional electrical and optical properties that are highly sensitive to its crystallographic orientation. However, conventional synthesis techniques offer limited control over the in-plane alignment of Te's crystallographic c-axis, hindering large-scale integration. Here, we report a novel, non-contact method to dynamically manipulate the c-axis orientation of Te thin films using linearly polarized pic…

Simpler is Faster: Practical Distance Reporting by Sorting Along a Space-Filling Curve
Sarita de Berg, Ivor van der Hoog, Eva Rotenberg, Emil Toftegaard G{\ae}de
https://arxiv.org/abs/2508.19891

Simpler is Faster: Practical Distance Reporting by Sorting Along a Space-Filling Curve
Range reporting is a classical problem in computational geometry. A (rectangular) reporting data structure stores a point set $P$ of $n$ points, such that, given a (rectangular) query region $Δ$, it returns all points in $P \cap Δ$. A variety of data structures support such queries with differing asymptotic guarantees such as $k$-d trees, range trees, $R$-trees, and quadtrees. A common variant of range queries are distance reporting queries, where the input is a query point $q$ and a radius $…

JWST reveals a supernova following a gamma-ray burst at z $\simeq$ 7.3
A. J. Levan, B. Schneider, E. Le Floc'h, G. Brammer, N. R. Tanvir, D. B. Malesani, A. Martin-Carrillo, A. Rossi, A. Saccardi, A. Sneppen, S. D. Vergani, J. An, J. -L. Atteia, F. E. Bauer, V. Buat, S. Campana, A. Chrimes, B. Cordier, L. Cotter, F. Daigne, V. D'Elia, M. De Pasquale, A. de Ugarte Postigo, G. Corcoran, R. A. J. Eyles-Ferris, H. Fausey, A. S. Fruchter, O. Godet, B. P. Gompertz, D. Gotz, N. Habeeb…

JWST reveals a supernova following a gamma-ray burst at z $\simeq$ 7.3
The majority of energetic long-duration gamma-ray bursts (GRBs) are thought to arise from the collapse of massive stars, making them powerful tracers of star formation across cosmic time. Evidence for this origin comes from the presence of supernovae in the aftermath of the GRB event, whose properties in turn link back to those of the collapsing star. In principle, with GRBs we can study the properties of individual stars in the distant universe. Here, we present JWST/NIRCAM observations that d…

Interpretable Evaluation of AI-Generated Content with Language-Grounded Sparse Encoders
Yiming Tang, Arash Lagzian, Srinivas Anumasa, Qiran Zou, Trang Nguyen, Ehsan Adeli, Ching-Yu Cheng, Yilun Du, Dianbo Liu
https://arxiv.org/abs/2508.18236

Interpretable Evaluation of AI-Generated Content with Language-Grounded Sparse Encoders
While the quality of AI-generated contents, such as synthetic images, has become remarkably high, current evaluation metrics provide only coarse-grained assessments, failing to identify specific strengths and weaknesses that researchers and practitioners need for model selection and development, further limiting the scientific understanding and commercial deployment of these generative models. To address this, we introduce Language-Grounded Sparse Encoders (LanSE), a novel architecture that cre…