Tootfinder

Nach Übernahme durch Bending Spoons: Stellenabbau bei Vimeo
Für 1,4 Milliarden Dollar hat Bending Spoons im vergangenen Herbst Vimeo gekauft. Nun kommt es schon zur zweiten Entlassungswelle.
https://www.<…

interactome_pdz: PDZ-domain interactome (2005)
A network of PDZ-domain-mediated protein–protein binding interactions, extracted from the PDZBase database. Nodes represent proteins and an edge represents a binding interaction between two proteins.
This network has 212 nodes and 244 edges.
Tags: Biological, Protein interactions, Unweighted

I'm just so glad that I didn't decide to rely on vimeo for hosting my videos. I got aware of peertube just at the right time.
Besides that I really wonder how bending spoons manages to continue service when firing the staff. On the other hand, maybe the systems are just well developed and thus quite robust.

Vimeo is laying off staff globally after its $1.38 billion sale to Bending Spoons
Vimeo is letting go of workers globally in a new round of layoffs after selling its business to tech-holding company Bending Spoons.

Alles ist nur autoritär wenn es die anderen machen!

Layoffs hit Vimeo for the second time since September 2025, when it laid off 10% of its workforce; Bending Spoons acquired Vimeo for around $1.38B in November (Business Insider)
https://www.businessinsider.com/vimeo-laying-off-staff-after-bi…

Vimeo is laying off staff globally after its $1.38 billion sale to Bending Spoons
Vimeo is letting go of workers globally in a new round of layoffs after selling its business to tech-holding company Bending Spoons.

T1: One-to-One Channel-Head Binding for Multivariate Time-Series Imputation
Dongik Park, Hyunwoo Ryu, Suahn Bae, Keondo Park, Hyung-Sin Kim
https://arxiv.org/abs/2602.21043 https://arxiv.org/pdf/2602.21043 https://arxiv.org/html/2602.21043
arXiv:2602.21043v1 Announce Type: new
Abstract: Imputing missing values in multivariate time series remains challenging, especially under diverse missing patterns and heavy missingness. Existing methods suffer from suboptimal performance as corrupted temporal features hinder effective cross-variable information transfer, amplifying reconstruction errors. Robust imputation requires both extracting temporal patterns from sparse observations within each variable and selectively transferring information across variables--yet current approaches excel at one while compromising the other. We introduce T1 (Time series imputation with 1-to-1 channel-head binding), a CNN-Transformer hybrid architecture that achieves robust imputation through Channel-Head Binding--a mechanism creating one-to-one correspondence between CNN channels and attention heads. This design enables selective information transfer: when missingness corrupts certain temporal patterns, their corresponding attention pathways adaptively down-weight based on remaining observable patterns while preserving reliable cross-variable connections through unaffected channels. Experiments on 11 benchmark datasets demonstrate that T1 achieves state-of-the-art performance, reducing MSE by 46% on average compared to the second-best baseline, with particularly strong gains under extreme sparsity (70% missing ratio). The model generalizes to unseen missing patterns without retraining and uses a consistent hyperparameter configuration across all datasets. The code is available at https://github.com/Oppenheimerdinger/T1.
toXiv_bot_toot

Missing Link: Digitaler Neustart des Sozialstaats soll Zettelwirtschaft beenden
Neues Sozialgesetz, automatisierte Auszahlungen und EUDI-Wallet als digitaler Turbo: Eine Kommission will die Verwaltung aus der Komplexitätsfalle befreien.

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

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

interactome_figeys: Figeys human interactome (2007)
A network of human proteins and their binding interactions. Nodes represent proteins and an edge represents an interaction between two proteins, as inferred using a mass spectrometry‐based approach.
This network has 2239 nodes and 6452 edges.
Tags: Biological, Protein interactions, Unweighted