Tootfinder

Machine learning-based multimodal prognostic models integrating pathology images and high-throughput omic data for overall survival prediction in cancer: a systematic review
Charlotte Jennings (National Pathology Imaging Cooperative, Leeds Teaching Hospitals NHS Trust, Leeds, UK), Andrew Broad (National Pathology Imaging Cooperative, Leeds Teaching Hospitals NHS Trust, Leeds, UK), Lucy Godson (National Pathology Imaging Cooperative, Leeds Teaching Hospitals NHS Trust, Leeds, UK), Emily…

Machine learning-based multimodal prognostic models integrating pathology images and high-throughput omic data for overall survival prediction in cancer: a systematic review
Multimodal machine learning integrating histopathology and molecular data shows promise for cancer prognostication. We systematically reviewed studies combining whole slide images (WSIs) and high-throughput omics to predict overall survival. Searches of EMBASE, PubMed, and Cochrane CENTRAL (12/08/2024), plus citation screening, identified eligible studies. Data extraction used CHARMS; bias was assessed with PROBAST+AI; synthesis followed SWiM and PRISMA 2020. Protocol: PROSPERO (CRD42024594745)…

This is crazy.
At U.S. request, France jails Russian basketball player Daniil Kasatkin on suspicion of ransomware conspiracy
https://meduza.io/en/news/2025/07/10/at-u-s-request-france-jails-…

At U.S. request, France jails Russian basketball player Daniil Kasatkin on suspicion of ransomware conspiracy
A court in Paris has jailed Russian basketball player Daniil Kasatkin on suspicion of involvement in a hacker group’s extortion activities. The 26-year-old was arrested on June 21 at Charles de Gaulle airport at the request of the United States, which has charged him with conspiracy to commit computer fraud. According to American investigators, Kasatkin acted as an accomplice in a hacker group’s ransomware attacks on roughly 900 companies, including two federal institutions, between 2020 an…

Volatile enrichment in low-mass planets: Signatures of past planetary disruption?
Mario Sucerquia, Mat\'ias Montesinos, Ana Mar\'ia Agudelo, Nicol\'as Cuello
https://arxiv.org/abs/2507.11693

Volatile enrichment in low-mass planets: Signatures of past planetary disruption?
Context: Tidal disruption and engulfment events around main-sequence stars, such as the luminous red nova ZTF SLRN-2020 (a candidate planetary-engulfment event), reveal the destruction of close-in giant planets. While current observations focus on stellar accretion and inner dust emission, the fate of the volatile-rich material expelled during disruption remains poorly understood. Aims: We investigate whether the H/He-rich gas expelled from the disrupted planet's envelope and atmosphere can e…

faculty_hiring_us: Faculty hiring networks in the US (2022)
Networks of faculty hiring for all PhD-granting US universities over the decade 2011–2020. Each node is a PhD-granting institution, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2020). This dataset is divided into separate networks for all 107 fields, as well as aggregate networks for 8 domains, and an overall network for …

Lazy B-Trees
Casper Moldrup Rysgaard, Sebastian Wild
https://arxiv.org/abs/2507.00277 https://arxiv.org/pdf/2507.00277

Lazy B-Trees
Lazy search trees (Sandlund & Wild FOCS 2020, Sandlund & Zhang SODA 2022) are sorted dictionaries whose update and query performance smoothly interpolates between that of efficient priority queues and binary search trees - automatically, depending on actual use; no adjustments are necessary to the data structure to realize the cost savings. In this paper, we design lazy B-trees, a variant of lazy search trees suitable for external memory that generalizes the speedup of B-trees over binary searc…

psi: Plant Photosystem I excitation energy transfer network (2020)
Weighted directed network of the light-harvesting Photosystem Ι (PSI) of the plant Pisum sativum. The nodes represent chromophores with different identities (i.e. chlorophyll a, chlorophyll b, β-carotene and derivates, lutein, violaxanthin), while edges represent FRET transfer between chromophores. The link directionality connecting nodes in the PSI network depends on the energy levels of the connected chromophores. The…

This https://arxiv.org/abs/2404.13164 has been replaced.
link: https://scholar.google.com/scholar?q=a

Least Squares Estimation For Hierarchical Data
The U.S. Census Bureau's 2020 Disclosure Avoidance System (DAS) bases its output on noisy measurements, which are population tabulations added to realizations of mean-zero random variables. These noisy measurements are observed for a set of hierarchical geographic units, e.g., the U.S. as a whole, states, counties, census tracts, and census blocks. The Census Bureau released the noisy measurements generated in the DAS executions for the two primary 2020 Census data products, in part to allow da…