Tootfinder

it helps da other fuckaases find u!!
https://fuckaas.space/@trekbek/115341932585705701

🇺🇦 #NowPlaying on KEXP's #Early
Temple of the Dog:
🎵 Hunger Strike
#TempleoftheDog
https://trxppyxtrxll.bandcamp.com/track/temple-of-the-dog-hunger-strike-trxppxd
https://open.spotify.com/track/0W7AbEauB7cP4pidLclApe

Nonlinear Evolution of the Matter Trispectrum with Primordial Parity Violation
Sha Azyzy, Drew Jamieson, Eiichiro Komatsu, Toshiki Kurita
https://arxiv.org/abs/2510.06164 https:…

Nonlinear Evolution of the Matter Trispectrum with Primordial Parity Violation
Parity-odd four-point correlation functions, or trispectra, of cosmic matter density fields provide a unique probe of fundamental symmetries in cosmology. Trispectra of primordial matter density fluctuations produced in the early universe are modified by the subsequent nonlinear structure formation. In this paper, we compute the nonlinear evolution of the parity-odd matter trispectrum to one-loop order, i.e., to third order in density fluctuations, within the framework of effective field theory…

Natural Language-Programming Language Software Traceability Link Recovery Needs More than Textual Similarity
Zhiyuan Zou, Bangchao Wang, Peng Liang, Tingting Bi, Huan Jin
https://arxiv.org/abs/2509.05585

Natural Language-Programming Language Software Traceability Link Recovery Needs More than Textual Similarity
In the field of software traceability link recovery (TLR), textual similarity has long been regarded as the core criterion. However, in tasks involving natural language and programming language (NL-PL) artifacts, relying solely on textual similarity is limited by their semantic gap. To this end, we conducted a large-scale empirical evaluation across various types of TLR tasks, revealing the limitations of textual similarity in NL-PL scenarios. To address these limitations, we propose an approac…

Stable Acoustic Relay Assignment with High Throughput via Lase Chaos-based Reinforcement Learning
Zengjing Chen, Lu Wang, Chengzhi Xing
https://arxiv.org/abs/2507.05900

Stable Acoustic Relay Assignment with High Throughput via Lase Chaos-based Reinforcement Learning
This study addresses the problem of stable acoustic relay assignment in an underwater acoustic network. Unlike the objectives of most existing literature, two distinct objectives, namely classical stable arrangement and ambiguous stable arrangement, are considered. To achieve these stable arrangements, a laser chaos-based multi-processing learning (LC-ML) method is introduced to efficiently obtain high throughput and rapidly attain stability. In order to sufficiently explore the relay's decisio…

🇺🇦 Auf radioeins läuft...
Mother Love Bone:
🎵 Chloe Dancer / Crown Of Thorns
#NowPlaying #MotherLoveBone
https://trxppyxtrxll.bandcamp.com/track/mother-love-bone-chloe-dancer-crown-of-thorns-trxppxd
https://open.spotify.com/track/7rBMZvgeWnOTHWUh3Pvw51
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interactome_stelzl: Stelzl human interactome (2005)
A network of human proteins and their binding interactions. Nodes represent proteins and an edge represents an interaction between two proteins, as inferred via high-throughput Y2H experiments using bait and prey methodology.
This network has 1706 nodes and 6207 edges.
Tags: Biological, Protein interactions, Unweighted

🇺🇦 #NowPlaying on KEXP's #MorningShow
Tears for Fears:
🎵 Mad World
#TearsforFears
https://lifelongcorporation.bandcamp.com/track/tears-for-fears-mad-world-lifelong-corporation-other-world-mix
https://open.spotify.com/track/0Qv7xi6uPSqH2k82tOkGSt

interactome_vidal: Vidal human interactome (2005)
A network of human proteins and their binding interactions. Nodes represent proteins and an edge represents a binding interaction between two proteins, as tested using a high-throughput yeast two-hybrid (Y2H) system.
This network has 3133 nodes and 6726 edges.
Tags: Biological, Protein interactions, Unweighted

🇺🇦 #NowPlaying on KEXP's #90TEEN
Tears for Fears:
🎵 Head Over Heels
#TearsforFears
https://mijorem.bandcamp.com/track/tears-for-fears-head-over-heels-2
https://open.spotify.com/track/0aF9m87P8Tja3NUMv4DfHt