I have spent the past six months reading hundreds of poems submitted by young writers age 10 to 21. In June 2026, we will publish an anthology of writing from 177 of these young people in the “1455 ...

1 Department of Hydraulics, Sanitary Environmental Protection, Faculty of Hydrotechnics, Technical University of Civil Engineering of Bucharest, Bucharest, Romania. 2 Department of Hydraulics, ...

A high-performance, CUDA-accelerated library for circular orbits CT reconstruction with end-to-end differentiable operators, amplitude- calibrated analytical FBP / FDK, and a separable-footprint ...

When it comes to digital advertising, understanding how different touchpoints contribute to conversions is key to maximizing your return on investment (ROI). Traditional attribution models, like first ...

The role of Artificial Intelligence (AI) in managing game difficulty is significantly increasing as players are now after more personalized and engaging gaming experiences. Dynamic Difficulty ...

This is an ongoing project where I'm trying to make a performant voxel rendering engine using C++ and Vulkan. Compute shader which runs at half screen resolution. Marches rays through octree chunks ...

Although data-independent acquisition (DIA) shows powerful potential in achieving comprehensive peptide information acquisition, the difficulty in determining the precursor m/z and distinguishing ...

The mesoscale heterogeneity of rock determines its macroscale mechanical performance to a large extent. In this paper, a sub-block element discontinuous deformation analysis (DDA) method coupled with ...

During the last few years we have spoken to a long list of businesses around the world who are spending more than $100k/month advertising their products on Facebook. When discussing their results, ...

Scientists have developed a novel approach for dynamic difficulty adjustment where the players' emotions are estimated using in-game data, and the difficulty level is tweaked accordingly to maximize ...

We propose a direct domain adaptation (DDA) approach to enrich the training of supervised neural networks on synthetic data by features from real-world data. The process involves a series of linear ...

Integrating data-dependent acquisition (DDA) and data-independent acquisition (DIA) approaches can enable highly sensitive mass spectrometry, especially for imunnopeptidomics applications. Here we ...