A Fluid Workforce Model is a strategic framework that treats talent as a variable resource rather than a fixed overhead. Instead of relying solely on a headcount of permanent staff, companies build a ...

Researchers from Yunnan University, the Shanghai Astronomical Observatory (SHAO) of the Chinese Academy of Sciences, and the ...

Three-dimensional modeling sits at the heart of modern design, engineering, and fabrication. Yet for blind and low-vision ...

A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to estimate AGB of individual trees in natural secondary forests of northeastern ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...

The hierarchical flow for clock domain crossing (CDC) and reset domain crossing (RDC) is a methodology used in the verification of large, complex digital integrated circuits. It’s a divide-and-conquer ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In drinking water distribution systems (DWDS), skin-friction drag in turbulent pipe ...

Pranam Chatterjee, PhD, assistant professor of bioengineering at the University of Pennsylvania (UPenn), emphasizes that text is all you need for artificial intelligence (AI) models to effectively ...

Abstract: Choosing an appropriate division method is crucial for partitioning two-dimensional spatial data under the constraints of differential privacy. The current mainstream partitioning methods ...

Researchers engineer a new class of microlattice materials with enhanced stiffness-to-density ratios and giant negative Poisson's ratios, ideal for lightweight applications. (Nanowerk Spotlight) ...