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hübsche dekoration für post, pakete oder geschenkverpackungen zum ausdrucken: "Summer Faux Postage Stamps" https://thegraphicsfairy.com/summer-faux-postage-stamps/

Fortified Proximal Causal Inference with Many Invalid Proxies
Myeonghun Yu, Xu Shi, Eric J. Tchetgen Tchetgen
https://arxiv.org/abs/2506.13152 https://

Fortified Proximal Causal Inference with Many Invalid Proxies
Causal inference from observational data often relies on the assumption of no unmeasured confounding, an assumption frequently violated in practice due to unobserved or poorly measured covariates. Proximal causal inference (PCI) offers a promising framework for addressing unmeasured confounding using a pair of outcome and treatment confounding proxies. However, existing PCI methods typically assume all specified proxies are valid, which may be unrealistic and is untestable without extra assumpt…

Triplet Higgs assisted leptogenesis from axion oscillation after inflation
Sasmita Mishra
https://arxiv.org/abs/2506.13412 https://ar…

Triplet Higgs assisted leptogenesis from axion oscillation after inflation
Leptogenesis via axion oscillation after inflation is an alternate mechanism of thermal leptogenesis. In this mechanism, the requirement of the existence of a lepton number ($L$) violating process in equilibrium to drive the lepton number requires the temperature of leptogenesis at $\sim 10^{13}$ GeV. Triplet scalars, due to their interaction with gauge bosons, make a suitable candidate to prevail in the thermal bath via gauge scattering at such high energy. Also, owing to its interaction with …

Second Circuit Declines To Let Trump Grab Carroll By The Process. Again. - Above the Law
https://abovethelaw.com/2025/06/second-circuit-declines-to-let-trump-grab-carroll-by-the-process-again/

Constraining the Mass of a Hypothetical Secondary Black Hole in M87 with the NANOGrav 15-Year Data Set
Motoki Kino, Masahiro Nagashima, Hyunwook Ro, Yuzhu Cui, Kazuhiro Hada, Jongho Park
https://arxiv.org/abs/2506.12313

Constraining the Mass of a Hypothetical Secondary Black Hole in M87 with the NANOGrav 15-Year Data Set
Galaxy mergers, each hosting a supermassive black hole (SMBH), are thought to form SMBH binaries. Motivated by recent observations from the East Asian VLBI Network (EAVN) showing periodic behavior in the M87 jet, a precession of about 11 years and a transverse oscillation of about 0.9 years, we constrain the mass of a hypothetical secondary black hole orbiting the primary SMBH in M87. To constrain the mass ratio between the primary SMBH ($M_{1}$) and the secondary black hole ($M_{2}$) defined a…

Our pre-conference Barcamp has become a real highlight, offering a fantastic opportunity to connect with fellow attendees and dive into some engaging conversations before the main conference even kicks off. This year, Nick Burch will once again be guiding the flow of ideas and discussions on 15 June, starting at 2:30 pm. It's a great way to warm up, share your thoughts, and meet new people!
Learn more about our barcamp:

Microsoft has once again been named a Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning (DSML) Platforms.
https://azure.microsoft.com/en-us/blog

Microsoft recognized for second consecutive year as a Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms | Microsoft Azure Blog
Find out how Microsoft Azure Machine Learning can help you optimize business processes, improve customer experiences, and drive innovation.

How an AI assistant developed by Brazilian nonprofit NoHarm is helping pharmacists in remote Amazon clinics process prescriptions more quickly and catch errors (Pedro Nakamura/Rest of World)
https://restofworld.org/2025/brazil-amazon-ai-healthcare-prescript…

AI is making health care safer in the remote Amazon
At overburdened clinics, pharmacists use AI to catch dangerous errors. It’s frontier tech meets frontier medicine — with global implications.

Multimodal Modeling of CRISPR-Cas12 Activity Using Foundation Models and Chromatin Accessibility Data
Azim Dehghani Amirabad, Yanfei Zhang, Artem Moskalev, Sowmya Rajesh, Tommaso Mansi, Shuwei Li, Mangal Prakash, Rui Liao
https://arxiv.org/abs/2506.11182

Multimodal Modeling of CRISPR-Cas12 Activity Using Foundation Models and Chromatin Accessibility Data
Predicting guide RNA (gRNA) activity is critical for effective CRISPR-Cas12 genome editing but remains challenging due to limited data, variation across protospacer adjacent motifs (PAMs-short sequence requirements for Cas binding), and reliance on large-scale training. We investigate whether pre-trained biological foundation model originally trained on transcriptomic data can improve gRNA activity estimation even without domain-specific pre-training. Using embeddings from existing RNA foundati…

Data Integration With Biased Summary Data via Generalized Entropy Balancing
Kosuke Morikawa, Sho Komukai, Satoshi Hattori
https://arxiv.org/abs/2506.11482 …

Data Integration With Biased Summary Data via Generalized Entropy Balancing
Statistical methods for integrating individual-level data with external summary data have attracted attention because of their potential to reduce data collection costs. Summary data are often accessible through public sources and relatively easy to obtain, making them a practical resource for enhancing the precision of statistical estimation. Typically, these methods assume that internal and external data originate from the same underlying distribution. However, when this assumption is violate…