Fully fashioned knitwear is one of fashion’s most technically demanding categories, yet it is still often developed using systems designed for speed and scale rather than for the amplification of ...
For decades, data centers were designed with permanence in mind: fixed plans, rigid shapes and predictable life cycles. Physical constraints of legacy architectures made them inherently static. But in ...
As an emerging 3D cell culture system, organoid technology has demonstrated substantial potential in basic research and translational medicine by recapitulating in vivo organ structures and functions.
July 31 (Reuters) - Infrastructure solutions provider Quanta Services (PWR.N), opens new tab raised its annual results forecast on Thursday and said it has acquired peer Dynamic Systems in a deal ...
Development and Validation of a Dynamic Real-Time Risk Prediction Model for Intensive Care Units Patients Based on Longitudinal Irregular Data: Multicenter Retrospective Study ...
Join host Neil Lander as he sits down with Margaret Maziarz, Principal Scientist at Waters Corporation, to discuss the latest tools and strategic approaches to optimizing method development. Margaret ...
1 Jiangxi Provincial Transportation Investment Maintenance Technology Group Co., Ltd., Nanchang, Jiangxi, China 2 Powerchina Jiangxi Electric Power Engineering Co., Ltd., Nanchang, Jiangxi, China ...
Code to support the manuscript "Assessing predictive accuracy of species abundance models in dynamic systems" to be published in Methods in Ecology and Evolution Authors: Christopher J. Brown, ...
FIFA is planning to sell general sale tickets for the men’s World Cup in 2026 under a dynamic pricing model, a system whereby prices fluctuate based on demand. So far, the only ticket packages ...
Research improves upon a popular experimental model of mammal development and in doing so, reveals more of the inner workings of a critical period during the formation of an embryo. Research from Ph.D ...
In many complex systems, predictability can be substantially state-dependent. We propose here a purely data-driven approach for estimating the local predictability at different time scales. The ...