Tootfinder

Donald Trump rolled tanks through Washington, DC, and deployed the USMC to the streets of Los Angeles.
It took him 152 days to break his promise and bomb Iran without a strategy — or any semblance of a plan.
That’s why I helped launch the Save America Movement.
We’re a clear-eyed 50-state movement to degrade and defeat Trumpism.
SAM is rooted in strategy, truth, and moral clarity.
We’re not reacting.
We’re organizing.
And we’re doing it in every c…

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Translational dynamics of lipid-coated microbubbles driven by ultrasound
Marco Cattaneo, Outi Supponen
https://arxiv.org/abs/2506.16413 https://

Translational dynamics of lipid-coated microbubbles driven by ultrasound
Ultrasound-driven microbubbles are increasingly being investigated for both molecular imaging and therapeutic applications. To be effective, these bubbles must be brought into close proximity or direct contact with the target site. Leveraging the acoustic radiation force provides a powerful strategy to direct their movement. In this study, we examine the translational dynamics of a microbubble with unprecedented accuracy by simultaneously time-resolving both its radial and translational respons…

Turns out the reason that the GPU accelerated level detector made the CDR slower is that I was working on test data loaded from a file, and not moving the data from CPU to GPU before starting the filter graph. So of *course* it was slower, due to the unnecessary data movement.
But that's unrealistic since on a real high-performance scope driver (e.g. thunderscope) the first thing we typically do is push data from CPU to GPU to do the int-float conversion there.
Time to repea…

News Sentiment Embeddings for Stock Price Forecasting
Ayaan Qayyum
https://arxiv.org/abs/2507.01970 https://arxiv.org/pdf/2507.01970

News Sentiment Embeddings for Stock Price Forecasting
This paper will discuss how headline data can be used to predict stock prices. The stock price in question is the SPDR S&P 500 ETF Trust, also known as SPY that tracks the performance of the largest 500 publicly traded corporations in the United States. A key focus is to use news headlines from the Wall Street Journal (WSJ) to predict the movement of stock prices on a daily timescale with OpenAI-based text embedding models used to create vector encodings of each headline with principal componen…

Behavioral alignment in social networks
Yu Xia, Alex McAvoy, Qi Su
https://arxiv.org/abs/2506.00046 https://arxiv.org/pdf/2506.00046

Behavioral alignment in social networks
The orderly behaviors observed in large-scale groups, such as fish schooling and the organized movement of crowds, are both ubiquitous and essential for the survival and stability of these systems. Such complex collective behaviors often emerge from simple local interactions and strategy adjustments among individuals. Understanding how these basic rules shape complex group dynamics has long been a significant scientific challenge. Historically, research has predominantly focused on imitation an…