Researchers at the California NanoSystems Institute at UCLA published a step-by-step framework for determining the ...

Chromosomes are masters of organization. These long strings of DNA fold down into an ensemble of compact structures that keep needed parts of the genome accessible while tucking away those that aren't ...

The standard facilitates the representation of geometry, topology, semantics, and appearance attributes, so that urban objects can be interpreted meaningfully by different software systems. By ...

In recent years, psychology has leaned heavily toward dimensional models of personality disorders (PDs). Instead of drawing boundaries around borderline, narcissistic, or avoidant personalities, ...

A few days ago, Google finally explained why its best AI image generation model is called Nano Banana, confirming speculation that the moniker was just a placeholder that stuck after the model went ...

Abstract: The controlled-source electromagnetic (CSEM) method is an important geophysical tool for sensing and studying subsurface conductivity structures. Advanced forward modeling techniques are ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

Pay attention. The importance of work-life balance is growing. Employees want more flexibility in their work, better stress management, less burnout and improved delineations between their work and ...

College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China Three-dimensional geological modeling and visualization hold considerable significance for ...

Zachary del Rosario receives funding from the National Science Foundation and Toyota Research Institute. Nicknamed “Galloping Gertie” for its tendency to bend and undulate, the Tacoma Narrows Bridge ...

You can install the package from CRAN. rdasim1 function generates rank-restricted matrices X and Y. library(rrda) set.seed(10) simdata<-rdasim1(n = 50,p = 100,q = 100 ...