The AI-based program AlphaFold predicts a protein's 3D structure with remarkable accuracy. However, it tends to reduce heterogeneous structures to a single dominant conformation, or shape, and ...

We ask how far the choice of which moments to match can push estimates in misspecified structural models. The answer is: very far. Under regularity conditions, an adversarial researcher informed about ...

The paper of this simulator can be found here: https://arxiv.org/abs/2511.09022. This is the upgraded version of my previous work RadHARSimulator V1: https://github ...

Please note: starting from the 2026/2027 intake, the psychology online entry test will be in place. This online Bachelor’s degree discloses the intriguing secrets of human mind by allowing a worldwide ...

Provide a detailed and simple overview of Markov Models. Focus on their applications in investment banking, specifically in Mergers & Acquisitions (M&A), Private Placements, and risk analysis.

This work will be of interest to the motor control community as well as neuroAI researchers interested in how bodies constrain neural circuit function. The authors present "MotorNet", a useful ...

Molecular simulations are an important tool for research in physics, chemistry, and biology. The capabilities of simulations can be greatly expanded by providing access to advanced sampling methods ...

In today’s fast-paced, data-driven world, the role of a data analyst has become more crucial than ever. Organizations across industries rely on these professionals to make sense of the vast amounts of ...

Non-negative matrix factorization (NMF) is an unsupervised learning method well suited to high-throughput biology. However, inferring biological processes from an NMF result still requires additional ...