Abstract: This paper investigates finite-time trajectory tracking control based on discrete-time sliding mode of underactuated surface vessels with compound disturbances comprising model parameter ...

Scientists at TU Wien have uncovered that quantum correlations can stabilize time crystals—structures that oscillate in time without an external driver. Contrary to previous assumptions, quantum ...

There are many iconic drives in Colorado, but there’s only one that's the highest continuous paved road in North America: Trail Ridge Road. This unbelievable 48-mile stretch takes you from Estes Park ...

Abstract: This paper presents an area- and power-efficient Current-to-Digital Converter (CDC) system for bioelectric current sensor applications. To address the requirements of high resolution, ...

Researchers demonstrate a novel method for transforming continuous time crystals into discrete ones using subharmonic injection locking, offering new insights into symmetry breaking and control in ...

Continuous threat exposure management (CTEM) is a security approach that helps companies to continuously identify and manage threats in their IT environment. The framework shifts the focus from ...

Convert baptisms surged last year to the highest level seen in nearly three decades, propelling global membership in The Church of Jesus Christ of Latter-day Saints past 17.5 million. The Utah-based ...

This paper proposes an analytic representation of sequence-space Jacobians in heterogeneous agent models with aggregate shocks in continuous time. Our approach is based on a pen-and-paper perturbation ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

(To receive weekly emails of conversations with the world’s top CEOs and decisionmakers, click here.) It’s nearly a year and a half since Johnson & Johnson split off its consumer-health arm to focus ...

Masked diffusion has emerged as a promising alternative to autoregressive models for the generative modeling of discrete data. Despite its potential, existing research has been constrained by overly ...