This paper describes Unbend - a new method for measuring and correcting motions in cryo-EM images, with a particular emphasis on more challenging in situ samples such as lamella and whole cells. The ...

The study finds that these uncertainty shocks often lead the economic cycle, signaling turning points months before ...

An academia-industry collaboration developed a new sampling algorithm for Design of Experiment intending to democratize experimental design.

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Researchers have modeled a hybrid financing scheme combining contracted and merchant components to improve the bankability of PV-battery energy storage system (PV-BESS) assets, using a Bayesian LSTM ...

The weeks leading up to the college basketball season are a reminder that there's essentially two lenses to look through when ...

Mark Few and the Gonzaga Bulldogs have succeeded consistently over the past quarter-century due to the strength of their ...

Abstract: Due to various reasons, outliers, ambient noise and missing data inevitably exist in the industrial processes, and thus the robustness is important when establishing monitoring models. In ...

Background The development of non-sputum-based tests is an urgent priority to increase access to tuberculosis (TB) diagnostic ...

The World Bank chief highlighted the use of heat-tolerant seeds, soil-matched fertilisers, regenerative practices, efficient irrigation, and robust insurance and financing systems. World Bank Group ...

A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...

Abstract: Asynchronous event sequence clustering aims to group similar event sequences in an unsupervised manner. Mixture models of temporal point processes have been proposed to solve this problem, ...