Tootfinder

A Contextual Seven-Valued Logic (\emph{Saptabhang\=inaya}) for Quantum Systems
Partha Ghose
https://arxiv.org/abs/2510.01120 https://arxiv.org/pdf/2510.011…

A Contextual Seven-Valued Logic (\emph{Saptabhangīnaya}) for Quantum Systems
The quantum measurement problem is often presented as a conflict between unitary evolution and non-unitary collapse. Drawing on Wittgenstein's later philosophy of language and Bohr's principle of complementarity, we argue that this conflict is a grammatical illusion arising from cross-context conflations. To address this, we introduce a contextual seven-valued logic modeled on the Jaina doctrine of \emph{saptabhangīnaya} (sevenfold predication). In one formulation, each proposition is assigned…

Criteria for Credible AI-assisted Carbon Footprinting Systems: The Cases of Mapping and Lifecycle Modeling
Shaena Ulissi, Andrew Dumit, P. James Joyce, Krishna Rao, Steven Watson, Sangwon Suh
https://arxiv.org/abs/2509.00240

Criteria for Credible AI-assisted Carbon Footprinting Systems: The Cases of Mapping and Lifecycle Modeling
As organizations face increasing pressure to understand their corporate and products' carbon footprints, artificial intelligence (AI)-assisted calculation systems for footprinting are proliferating, but with widely varying levels of rigor and transparency. Standards and guidance have not kept pace with the technology; evaluation datasets are nascent; and statistical approaches to uncertainty analysis are not yet practical to apply to scaled systems. We present a set of criteria to validate AI-a…

On November 5th, Trump will keep trying to blur truth and fiction through his staged shadow hearings.
Our answer will be simple:
Circles of light around our local government buildings.
Testimony shared openly and honestly.
A united message: The people are watching.
Some will stand silently in person.
Some will speak through livestreams and digital testimony.

Together, we will form a national chorus of truth.

Shadow Hearings - The Parallel Government You Weren’t Meant to See
Remember - Remember - the 5th of November

Nonlinear mechanical metamaterial cloaks
Giovanni Bordiga, Jean-Gabriel Argaud, Audrey A. Watkins, Vincent Tournat, Katia Bertoldi
https://arxiv.org/abs/2508.21277 https://

Nonlinear mechanical metamaterial cloaks
The concept of cloaking -- hiding objects from external detection -- has seen wide success in linear systems. Yet, translating these advancements to nonlinear mechanical systems remains an open challenge. Here, we present a new approach to nonlinear mechanical cloaking that frames cloaking as an optimization problem aimed at replicating a target mechanical response. We solve this problem using a differentiable simulation framework coupled with gradient-based optimization. We implement this appr…

Bundeskabinett bringt Wehrdienst-Gesetz und Sicherheitsrat auf den Weg
Das Bundeskabinett hat das neue Wehrdienst-Modell verabschiedet, das der Bundeswehr zu mehr Soldatinnen und Soldaten verhelfen soll. Das Modell von Verteidigungsminister Boris Pistorius beruht weitgehend auf Freiwilligkeit, eine Wiedereinsetzung der Wehrpflicht ist vorerst nicht vorgesehen. Für junge Männer wird allerdings ab Mit…
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Was das neue Gesetz zum Wehrdienst vorsieht
Musterung ja, aber kein Zwang zum Wehrdienst: Mehr als 14 Jahre nach Aussetzung der Wehrpflicht in Deutschland soll ein neues Wehrdienstgesetz die Bundeswehr personell stärken. Was genau ist geplant? Was sagen Kritiker?

Decoding local framework dynamics in the ultra-small pore MOF MIL-120(Al) CO2 sorbent with Machine Learned Potentials
Dong Fan, Felipe Lopes Oliveira, Mohammad Wahiduzzaman, Guillaume Maurin
https://arxiv.org/abs/2508.20608

Decoding local framework dynamics in the ultra-small pore MOF MIL-120(Al) CO2 sorbent with Machine Learned Potentials
Metal-organic frameworks (MOFs) with ultra-small pores offer an optimal environment to effectively capture guest molecules such as CO2. Subtle local dynamics of their frameworks, either throughout reorientation of functional groups grafted to the organic linkers or those present in their inorganic nodes, is expected to play a major role in their sorption behaviors. Here, we combine density-functional theory (DFT) with a purpose-trained machine-learned potential to systematically investigate the…

Source locations and convection velocities of outer-scaled wall-pressure fluctuations in canonical turbulent boundary layers
Rahul Deshpande, Abdelrahman Hassanein, Woutijn J. Baars
https://arxiv.org/abs/2508.19940

Source locations and convection velocities of outer-scaled wall-pressure fluctuations in canonical turbulent boundary layers
This study identifies that the large-scale ($δ$-scaled) sources of wall-pressure fluctuations ($p_w$) beneath a zero-pressure-gradient turbulent boundary layer extend from the near-wall region up to the top of the logarithmic region (approximately 0.15$δ$, where $δ$ is the boundary layer thickness). Even though contributions from the wake region are present, they are found to be statistically less dominant than those from the logarithmic region. The findings are based on bespoke measurements…

The Foldy-Wouthuysen transformation with Dirac matrices in the chiral representation: closed expressions for energy operators of fermions moving in electrostatic fields
V. P. Neznamov
https://arxiv.org/abs/2508.11015

The Foldy-Wouthuysen transformation with Dirac matrices in the chiral representation: closed expressions for energy operators of fermions moving in electrostatic fields
In this paper, we obtain the closed expressions for energy operators in the Foldy-Wouthuysen representation in the presence of electrostatic fields. We also establish the connection between the Foldy-Wouthuysen representation and the Feynman-Gell-Mann representation.

WatchAnxiety: A Transfer Learning Approach for State Anxiety Prediction from Smartwatch Data
Md Sabbir Ahmed, Noah French, Mark Rucker, Zhiyuan Wang, Taylor Myers-Brower, Kaitlyn Petz, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
https://arxiv.org/abs/2509.13725

WatchAnxiety: A Transfer Learning Approach for State Anxiety Prediction from Smartwatch Data
Social anxiety is a common mental health condition linked to significant challenges in academic, social, and occupational functioning. A core feature is elevated momentary (state) anxiety in social situations, yet little prior work has measured or predicted fluctuations in this anxiety throughout the day. Capturing these intra-day dynamics is critical for designing real-time, personalized interventions such as Just-In-Time Adaptive Interventions (JITAIs). To address this gap, we conducted a stu…

The president of the United States is invading multiple US cities and liberal strongholds, in troop deployments that are now the primary component of his vast, lawless, smash-and-grab efforts to shred the nation’s constitutional and democratic order, all in the service of his personality cult.
And his enthusiasm for doing so is partially, and meaningfully, fueled by how mad he gets while binge-watching hours and hours of TV, current and former Trump advisers tell Zeteo.

Trump’s Addiction to Watching Fox Is Killing American Democracy
Our country is falling apart because one old man, Trump advisers and former administration officials say, won’t stop ‘yelling’ at his TV.