Tootfinder

Toward a Behavioural Translation Style Space: Simulating the Temporal Dynamics of Affect, Behaviour, and Cognition in Human Translation Production
Michael Carl, Takanori Mizowaki, Aishvarya Ray, Masaru Yamada, Devi Sri Bandaru, Xinyue Ren
https://arxiv.org/abs/2507.12208

Toward a Behavioural Translation Style Space: Simulating the Temporal Dynamics of Affect, Behaviour, and Cognition in Human Translation Production
The paper introduces a Behavioural Translation Style Space (BTSS) that describes possible behavioural translation patterns. The suggested BTSS is organized as a hierarchical structure that entails various embedded processing layers. We posit that observable translation behaviour - i.e., eye and finger movements - is fundamental when executing the physical act of translation but it is caused and shaped by higher-order cognitive processes and affective translation states. We analyse records of ke…

For those out of the Loop:
#Google, #Meta, Microsoft, any of the tech companies who provide "portals" to news and content, scrape this content and shove it in a feed that they have control over (obstensibly based on your "habits" and "preferences"). The portal keeps the $ad.revenue$ th…

Pseudodifferential Weyl calculus on vector bundles
Lars Andersson, Benjamin Moser, Marius A. Oancea, Claudio F. Paganini, Gabriel Schmid
https://arxiv.org/abs/2507.11965

Pseudodifferential Weyl calculus on vector bundles
We develop a geometric framework for Weyl quantization on pseudo-Riemannian manifolds, in which pseudodifferential operators act on sections of vector bundles equipped with arbitrary connections. We construct the associated star product and compute its semiclassical expansion up to third order in the expansion parameter. A central feature of our approach is a one-to-one correspondence between formally self-adjoint symbols and formally self-adjoint operators, extending known results from flat sp…

“Can you transfer €50,000 right now? And keep it quiet.” A message from the CEO like this can make anyone’s heart skip a beat.
This is one of the most common social engineering tactics out there: fake authority urgency fear. When the “CEO” is giving the order, it’s easy to act first and think later.
That’s why training #digitalmindfulness matters–pausing and grounding our…

Directed Cycles as Higher-Order Units of Information Processing in Complex Networks
Hardik Rajpal, Paul Expert, Vaiva Vasiliauskaite
https://arxiv.org/abs/2508.09808 https://

Directed Cycles as Higher-Order Units of Information Processing in Complex Networks
Directed cycles form the fundamental motifs in natural, social and artificial networks, yet their distinct computational roles remain under-explored, particularly in the context of higher-order structure and function. In this work, we investigate how two types of directed cycles - feedforward and feedback - can act as higher-order structures to facilitate the flow and integration of information in sparse random networks, and how these roles depend on the environment of the cycles. Using informa…

Supreme Court, in Order Asking for Additional Briefing in Louisiana Voting Case,
🔥Appears to Put the Constitutionality of Section 2 of the Voting Rights Act into Question
https://electionlawblog.org/?p=151301

Breaking: Supreme Court, in Order Asking for Additional Briefing in Louisiana Voting Case, Appears to Put the Constitutionality of Section 2 of the Voting Rights Act into Question #ELB
The Supreme Court just issued this order: Louisiana had to create that second majority-minority district in order to comply with the Voting Rights Act, as it had been found to face Section 2 VRA liability for not creating that district. … Continue reading Breaking: Supreme Court, in Order Asking for Additional Briefing in Louisiana Voting Case, Appears to Put the Constitutionality of Section 2 of the Voting Rights Act into Question →

Decision-Making-Based Path Planning for Autonomous UAVs: A Survey
Kelen C. Teixeira Vivaldini, Robert P\v{e}ni\v{c}ka, Martin Saska
https://arxiv.org/abs/2508.09304 https://

Decision-Making-Based Path Planning for Autonomous UAVs: A Survey
One of the most critical features for the successful operation of autonomous UAVs is the ability to make decisions based on the information acquired from their surroundings. Each UAV must be able to make decisions during the flight in order to deal with uncertainties in its system and the environment, and to further act upon the information being received. Such decisions influence the future behavior of the UAV, which is expressed as the path plan. Thus, decision-making in path planning is an e…

Enhancing the mass resolving power of FRIB's proposed high-voltage MR-ToF mass separator and spectrometer: addressing non-ideal conditions
Christian Michael Ireland, Franziska Maria Maier, Einstein Dhayal, Erich Leistenschneider, Ryan Ringle, Austin Sjaarda
https://arxiv.org/abs/2510.11741

Enhancing the mass resolving power of FRIB's proposed high-voltage MR-ToF mass separator and spectrometer: addressing non-ideal conditions
Multi-reflection time-of-flight mass separators and spectrometers (MR-ToF MSs) are indispensable tools at radioactive ion beam (RIB) facilities. These electrostatic ion beam traps act as highly selective mass separators and high-precision mass spectrometers for rare and exotic nuclei. When well-tuned and designed to minimize higher-order flight-time aberrations, state-of-the-art MR-ToF MSs approach, and slightly exceed, mass resolving powers of \( m / Δm = 10^6 \). Achieving \( m / Δm > 3 \cd…

Higher-Order Feature Attribution: Bridging Statistics, Explainable AI, and Topological Signal Processing
Kurt Butler, Guanchao Feng, Petar Djuric
https://arxiv.org/abs/2510.06165

Higher-Order Feature Attribution: Bridging Statistics, Explainable AI, and Topological Signal Processing
Feature attributions are post-training analysis methods that assess how various input features of a machine learning model contribute to an output prediction. Their interpretation is straightforward when features act independently, but becomes less direct when the predictive model involves interactions such as multiplicative relationships or joint feature contributions. In this work, we propose a general theory of higher-order feature attribution, which we develop on the foundation of Integrate…

"a federal judge in Rhode Island has prohibited officials from setting new restrictions on grants issued by the Violence Against Women Act based on Trump's executive order purging the federal government of "gender ideology.""
Trump crackdown hits legal wall with new ruling - Raw Story
https://www.rawstory.com/trump-judge-2673870689/

Beyond the Starobinsky model after ACT
Dhong Yeon Cheong, Min Gi Park, Seong Chan Park
https://arxiv.org/abs/2509.04105 https://arxiv.org/pdf/2509.04105

Beyond the Starobinsky model after ACT
We revisit higher order corrections to the Starobinsky inflationary model using the most recent P-ACT-LB-BK18 data, which exhibits a mild but definite tension with the predictions of the original model. Our results demonstrate how even small {higher order} deformations of the Ricci scalar (e.g. $R^3, R^4,\cdots$) can bring the model into better agreement with current data and impose nontrivial constraints on the post-inflationary dynamics.

BREAKING: The D.C. Circuit has vacated Judge Boasberg's contempt order over the Trump administration's decision to deport people under the Alien Enemies Act in defiance of his TRO.
Rao (Trump), Katsas(Trump) side against Boasberg
Pillard (Obama) dissents
https://s3.documentcloud.org/documents

Breaking: Supreme Court, in Order Asking for Additional Briefing in Louisiana Voting Case, Appears to Put the Constitutionality of Section 2 of the Voting Rights Act into Question (Rick Hasen/Election Law Blog)
https://electionlawblog.org/?p=151301
http://www.memeorandum.com/250801/p128#a250801p128

Autonomy Matters: A Study on Personalization-Privacy Dilemma in LLM Agents
Zhiping Zhang, Yi Evie Zhang, Freda Shi, Tianshi Li
https://arxiv.org/abs/2510.04465 https://

Autonomy Matters: A Study on Personalization-Privacy Dilemma in LLM Agents
Large Language Model (LLM) agents require personal information for personalization in order to better act on users' behalf in daily tasks, but this raises privacy concerns and a personalization-privacy dilemma. Agent's autonomy introduces both risks and opportunities, yet its effects remain unclear. To better understand this, we conducted a 3$\times$3 between-subjects experiment ($N=450$) to study how agent's autonomy level and personalization influence users' privacy concerns, trust and willin…

Good Morning #Canada
Today, while doing my morning Google thingy, I learned that Elon Musk has Canadian Citizenship. Now I need a shower.
Canada is pretty picky when we look for individuals who should be Canadian. Only 6 non-citizens have ever been recognized as Honorary Canadians, which takes an Act of Parliament to be designated with the honour. It provides zero rights or privileges but looks good on your resume. It is far more likely that non-citizens could be awarded the Order of Canada as they are eligible if they have made a significant contribution to Canadian society or had a positive impact on the world at large. As of August 2025, 8,647 people have been appointed to the order, an average of 150 per year since the honour was established in 1967. There is no list of non-Canadian recipients, as the government doesn't track them separately, but Queen Elizabeth II was awarded her Sovereign badge in 1970.
#CanadaIsAwesome #Welcome
https://www.cbc.ca/news/canada/who-are-the-honorary-canadians-1.1155903

DesCartes Builder: A Tool to Develop Machine-Learning Based Digital Twins
Eduardo de Conto, Blaise Genest, Arvind Easwaran, Nicholas Ng, Shweta Menon
https://arxiv.org/abs/2508.17988

DesCartes Builder: A Tool to Develop Machine-Learning Based Digital Twins
Digital twins (DTs) are increasingly utilized to monitor, manage, and optimize complex systems across various domains, including civil engineering. A core requirement for an effective DT is to act as a fast, accurate, and maintainable surrogate of its physical counterpart, the physical twin (PT). To this end, machine learning (ML) is frequently employed to (i) construct real-time DT prototypes using efficient reduced-order models (ROMs) derived from high-fidelity simulations of the PT's nominal…

Sequential analysis in a continuous spin-noise quantum sensor
Elisabet Roda-Salichs, Giulio Gasbarri, Antoni Alou, Michalis Skotiniotis, Aleksandra Sierant, Diana M\'endez-Avalos, Morgan W. Mitchell, John Calsamiglia
https://arxiv.org/abs/2509.16177

Sequential analysis in a continuous spin-noise quantum sensor
Many control and detection applications require real-time analysis of signals from sensors, in order to quickly and accurately act upon events revealed by the sensors. Such signal analysis benefits from statistical models of signal and sensor behavior. This creates a need for data analysis methods that are simultaneously model-based, computationally efficient and causal, in the sense that they employ only sensor data available prior to a specific point in time. In this work, we implement sequen…