Tootfinder

Duluth Man Indicted for Threatening Two U.S. Senators and their Families (US Department of Justice)
https://www.justice.gov/usao-ndga/pr/duluth-man-indicted-threatening-two-us-senators-and-their-families
http://www.memeorandum.com/250616/p152#a250616p152

BreastDCEDL: Curating a Comprehensive DCE-MRI Dataset and developing a Transformer Implementation for Breast Cancer Treatment Response Prediction
Naomi Fridman, Bubby Solway, Tomer Fridman, Itamar Barnea, Anat Goldshtein
https://arxiv.org/abs/2506.12190

BreastDCEDL: Curating a Comprehensive DCE-MRI Dataset and developing a Transformer Implementation for Breast Cancer Treatment Response Prediction
Breast cancer remains a leading cause of cancer-related mortality worldwide, making early detection and accurate treatment response monitoring critical priorities. We present BreastDCEDL, a curated, deep learning-ready dataset comprising pre-treatment 3D Dynamic Contrast-Enhanced MRI (DCE-MRI) scans from 2,070 breast cancer patients drawn from the I-SPY1, I-SPY2, and Duke cohorts, all sourced from The Cancer Imaging Archive. The raw DICOM imaging data were rigorously converted into standardized…

Death toll mounts in Israel and Iran as both countries threaten further response after trading strikes overnight
https://www.theguardian.com/world/live/202

Efficient Estimation of Distributional Treatment Effects with Endogenous Treatments: A Machine Learning Approach
Charles Shaw
https://arxiv.org/abs/2506.12765

Efficient Estimation of Distributional Treatment Effects with Endogenous Treatments: A Machine Learning Approach
We introduce a novel, robust estimator for the Distributional Instrumental Variable Local Average Treatment Effect (D-IV-LATE) when the treatment is endogenous and an instrumental variable is available. Understanding the full distributional impact of policies or interventions, rather than just average effects, is crucial for informed decision-making. Yet existing methods often assume exogeneity or are not designed for distributional parameters in an IV context. We bridge this gap by extending t…

Dynamic Grid Trading Strategy: From Zero Expectation to Market Outperformance
Kai-Yuan Chen, Kai-Hsin Chen, Jyh-Shing Roger Jang
https://arxiv.org/abs/2506.11921

Dynamic Grid Trading Strategy: From Zero Expectation to Market Outperformance
We propose a profitable trading strategy for the cryptocurrency market based on grid trading. Starting with an analysis of the expected value of the traditional grid strategy, we show that under simple assumptions, its expected return is essentially zero. We then introduce a novel Dynamic Grid-based Trading (DGT) strategy that adapts to market conditions by dynamically resetting grid positions. Our backtesting results using minute-level data from Bitcoin and Ethereum between January 2021 and Ju…

Centuries-old mercury pollution hidden in the ocean threatens Arctic wildlife #Arctic

Centuries-old mercury pollution hidden in the ocean threatens Arctic wildlife
Despite global reductions in mercury emissions, mercury concentrations in Arctic wildlife continue to rise. A study published in Nature Communications by researchers from Aarhus University and the University of Copenhagen reveals that ocean currents may be transporting legacy mercury pollution to the Arctic—posing a long-term threat to ecosystems and human health.

L'Orient en course Š pied
So it rained, and then it was sunny when I got to the treadmill. Should have done the treadmill, way too humid 🤦‍♂️😆
Turns out the bridge I cross when I run this route is falling apart, so I have a detour for a few months.
#running #runnersofmastodon

Former Coast Guard officer charged with threatening to kill President Trump (Scott Macfarlane/CBS News)
https://www.cbsnews.com/news/former-coast-guard-officer-charged-with-threatening-to-kill-president-trump/
http://www.memeorandum.com/250616/p151#a250616p151

Optimal treatment assignment rules under capacity constraints
Keita Sunada, Kohei Izumi
https://arxiv.org/abs/2506.12225 https://arxi…

Optimal treatment assignment rules under capacity constraints
We study treatment assignment problems under capacity constraints, where a planner aims to maximize social welfare by assigning treatments based on observable covariates. Such constraints are common in practice, as treatments are often costly or limited in supply. However, they introduce nontrivial challenges for deriving optimal statistical assignment rules because the planner needs to coordinate treatment assignment probabilities across the entire covariate distribution. To address these chal…

Trump denies reaching out to Iran, threatens to 'come down so hard' if Tehran strikes US assets (Kevin Shalvey/Reuters)
https://abcnews.go.com/Politics/trump-denies-reaching-iran-threatens-hard-tehran-strikes/story?id=122920648
http://www.memeorandum.com/250617/p56#a250617p56