Tootfinder

Characterizing and Testing Configuration Stability in Two-Dimensional Threshold Cellular Automata
Yonatan Nakar, Dana Ron
https://arxiv.org/abs/2507.14569 …

Characterizing and Testing Configuration Stability in Two-Dimensional Threshold Cellular Automata
We consider the problems of characterizing and testing the stability of cellular automata configurations that evolve on a two-dimensional torus according to threshold rules with respect to the von-Neumann neighborhood. While stable configurations for Threshold-1 (OR) and Threshold-5 (AND) are trivial (and hence easily testable), the other threshold rules exhibit much more diverse behaviors. We first characterize the structure of stable configurations with respect to the Threshold-2 (similarly, …

On the Number of Control Nodes of Threshold and XOR Boolean Networks
Christopher H. Fok, Liangjie Sun, Tatsuya Akutsu, Wai-Ki Ching
https://arxiv.org/abs/2509.16077 https://

On the Number of Control Nodes of Threshold and XOR Boolean Networks
Boolean networks (BNs) are important models for gene regulatory networks and many other biological systems. In this paper, we study the minimal controllability problem of threshold and XOR BNs with degree constraints. Firstly, we derive lower-bound-related inequalities and some upper bounds for the number of control nodes of several classes of controllable majority-type threshold BNs. Secondly, we construct controllable majority-type BNs and BNs involving Boolean threshold functions with both p…

First Extraction of the $\phi$-$^{4}\mathrm{He}$ scattering length from near-threshold $\phi$ photoproduction on helium-4
Chengdong Han, Wei Kou, Rong Wang, Xurong Chen
https://arxiv.org/abs/2507.14972

First Extraction of the $ϕ$-$^{4}\mathrm{He}$ scattering length from near-threshold $ϕ$ photoproduction on helium-4
We present a model-independent extraction of the phi-helium-4 scattering length from near-threshold phi photoproduction on helium-4, based on LEPS Collaboration data for the coherent process gamma plus helium-4 to phi plus helium-4, and the Vector Meson Dominance framework. Assuming an energy-independent differential cross section, we extract the absolute value of the phi-helium-4 scattering length, |alpha_phiHe4| = (4.19 +/- 0.07) x 10^-4 fm, from a fit at the threshold t_thr. This v…

Trishelle Tucay evades flag pull for TD to avoid shutout for Raiders https://www.nfl.com/videos/trishelle-tucay-evades-flag-pull-for-td-to-avoid-shutout-for-raiders

Neutron reflectometry on superspreading and non-superspreading trisiloxane surfactants
Joshua Reed, S\'eforah Carolina Marques Silva, Philipp Gutfreund, Joachim Venzmer, Tatiana Gambaryan-Roisman, Emanuel Schneck
https://arxiv.org/abs/2507.15038

Neutron reflectometry on superspreading and non-superspreading trisiloxane surfactants
Certain trisiloxane surfactants have the remarkable property of being able to superspread: Small volumes of water rapidly wet large areas of hydrophobic surfaces. The molecular properties of the surfactants which govern this technologically relevant effect are still under debate. To gain a deeper understanding, the surfactant behaviour during the spreading process needs to be studied at molecular length scales. Here, we present neutron reflectivity analyses of two trisiloxane surfactants of sim…

In a UK tribunal filing, ex-Meta employee Samujjal Purkayastha alleges Meta misled advertisers by inflating Shops ads' performance and bypassed Apple's ATT (Trishla Ostwal/Adweek)
https://www.adweek.com/media/whistleblower-alleges-m…

Whistleblower Alleges Meta Artificially Boosted Shops Ads Performance
Ex-Meta employee alleges the company inflated ad results to mask poor performance

This whole opinion, while well-meaning and bringing up generally good points (we humans can decide what technology we research and how we use it)—misses the point: there will not be an “AGI” that derives from current “AI” technology.
What the “AI” companies are proposing and the media is accepting at face value is like saying ever more realistic graphics in computer games will suddenly reach some threshold and the graphics will become the real world.
It’s nonsense.
https://www.theguardian.com/commentisfree/ng-interactive/2025/jul/21/human-level-artificial-intelligence

Iterative thresholding low-rank time integration
Markus Bachmayr, Matthieu Dolbeault, Polina Sachsenmaier
https://arxiv.org/abs/2507.15848 https://

Iterative thresholding low-rank time integration
We develop time integration methods in low-rank representation that can adaptively adjust approximation ranks to achieve a prescribed accuracy, while ensuring that these ranks remain proportional to the corresponding best approximation ranks. Our approach relies on an iterative scheme combined with soft thresholding of the iterates. A model case of a time-dependent Schrödinger equation with low-rank matrix approximation is analyzed in detail, and the required modifications for second-order par…

AI-Powered Machine Learning Approaches for Fault Diagnosis in Industrial Pumps
Khaled M. A. Alghtus, Ayad Gannan, Khalid M. Alhajri, Ali L. A. Al Jubouri, Hassan A. I. Al-Janahi
https://arxiv.org/abs/2508.15550

AI-Powered Machine Learning Approaches for Fault Diagnosis in Industrial Pumps
This study presents a practical approach for early fault detection in industrial pump systems using real-world sensor data from a large-scale vertical centrifugal pump operating in a demanding marine environment. Five key operational parameters were monitored: vibration, temperature, flow rate, pressure, and electrical current. A dual-threshold labeling method was applied, combining fixed engineering limits with adaptive thresholds calculated as the 95th percentile of historical sensor values. …

For the first time AI systems crossed the gold-medal scoring threshold at the International Mathematical Olympiad for high-school students.
Both Google and OpenAI's models solved five out of six problems,
-- achieving the result using general-purpose “reasoning” models that processed mathematical concepts using natural language, in contrast to the previous approaches used by AI firms.
OpenAI’s breakthrough was achieved with a new experimental model centered on massively …