A first search is presented for vector-like leptons (VLLs) exclusively decaying into a light long-lived pseudoscalar boson and a standard model <i>τ</i> lepton. The pseudoscalar boson is assumed to have a mass below the <i>τ</i> ⁺ <i>τ</i>...

Inclusive and differential cross sections for Higgs boson production in proton-proton collisions at a centre-of-mass energy of 13.6 TeV are measured using data collected with the CMS detector at the LHC in 2022, corresponding to an integrated luminosity of 34.7 fb^-1. Events with t...

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Epitalon, a naturally occurring tetrapeptide, is known for its anti-aging effects on mammalian cells. This happens through the induction of telomerase enzyme activity, resulting in the extension of telomere length. A strong link exists between telomere length and aging-related diseases. Therefore...

In this study, we investigated the effect of Cu content on the thermomechanical response of a precipitation-hardenable Al-Si-Mg alloy produced by the casting and rolling processes. The Cu content ranged from 0.35 to 0.95 wt.%, while the alloy maintained fixed amounts of Si and ...

Based on analysis of 21 arbitral awards rendered in the “Spanish saga” cases, this book discusses the current challenges faced by international investment law in the renewable energy sector, addressing questions such as which facts led to the unprecedented number of investor-state arbit...

This DiF paper analyses the 2021 Consultations for Central & Eastern Europe and Central Asia, conducted as part of the process underlying the United Nations Working Group 'Report on human rights-compatible international investment agreements'. These consultations led to three unique c...

Forecasting the movement of populations during conflict outbreaks remains a significant challenge in contemporary humanitarian efforts. Accurate predictions of displacement patterns are crucial for improving the delivery of aid to refugees and other forcibly displaced individuals. Over the past decade...

This work demonstrates a method of testing a machine learning model’s extrapolation accuracy, a capability that is significant to efficiently aid with discovery of improved alloys and presents the application of a pure data-driven method to make steps to reduce this extrapolation error....