The dynamics of mergers and acquisitions

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Federated Learning by nature is susceptible to low-quality, corrupted, or even malicious data that can severely degrade the quality of the learned model. Traditional techniques for data valuation cannot be applied as the data is never revealed. We present ...

Diffuse interstellar bands (DIBs) are absorption features seen in optical and infrared spectra of stars and extragalactic objects that are probably caused by large and complex molecules in the galactic interstellar medium (ISM). Here we investigate the Gal ...

An artificial floods program has been implemented on the Sarine residual flow reach, downstream of the Rossens dam. Two artificial floods were released in 2016 (coupled with sediment augmentation) and in 2020. A natural flood occurred in 2021. The indicato ...

The properties of stable Luttinger liquid phases in models with a nonconserved number of particles are investigated. We study the Luttinger liquid phases in one-dimensional models of hard-core boson and spinless fermion chains where particles can be create ...

Electron beam-generated plasmas (EBPs) have been used to modify the surface properties. In certain applications, EBPs are transversely confined and their properties are of value to the treatment. In this paper, the characteristics of an electron beam-gener ...

Background: Cardiac output is essential for patient management in critically ill patients. The state-of-the-art for cardiac output monitoring bears limitations that pertain to the invasive nature of the method, high costs, and associated complications. Hen ...

The rapid progress in the field of deep learning has had a significant impact on protein design. Deep learning methods have recently produced a breakthrough in protein structure prediction, leading to the availability of high-quality models for millions of ...

This paper investigates the potential impact of deep generative models on the work of creative professionals, specifically focusing on fashion design. We argue that current generative modeling tools lack critical features that would make them useful creati ...

The dynamics of mergers and acquisitions

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A Practical Influence Approximation for Privacy-Preserving Data Filtering in Federated Learning

Gaia Focused Product Release: Spatial distribution of two diffuse interstellar bands

Effects of water releases and sediment supply on a residual flow reach

Emergent U(1) symmetry in non-particle-conserving one-dimensional models

Characterization of transversely confined electron beam-generated plasma using two-dimensional particle-in-cell simulations

Cardiac output estimated from an uncalibrated radial blood pressure waveform: validation in an in-silico-generated population

A new age in protein design empowered by deep learning

Fashioning the Future: Unlocking the Creative Potential of Deep Generative Models for Design Space Exploration