Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Abstract: Maximizing longevity and improving the communication quality of wireless sensor networks (WSNs) are two pivotal objectives in addressing clustering routing issues. However, existing methods ...

Abstract: We consider clustering problems in which the available attributes can be split into two independent subsets, such that either subset suffices for learning. Example applications of this multi ...

We present Cryo-IEF (Cryo-EM Image Evaluation Foundation) — a foundation model pre-trained on approximately 65 million cryo-EM particle images via unsupervised learning. Cryo-IEF provides powerful ...

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This repository contains code released by Google Research. All datasets in this repository are released under the CC BY 4.0 International license, which can be found ...

eComplex Trauma and Resilience Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK fPsychosis Research Unit, Greater Manchester Mental Health NHS Foundation Trust, ...

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Introduction People diagnosed with tuberculosis (TB) after death (postmortem) experience the ultimate diagnostic delay. We ...

Importance Structured communication tools and decision aids are recommended to facilitate goals of care discussions (GOCDs) in hospitalised patients, but their impact remains unclear. Objective To ...