Two riboswitches were seamlessly linked into a single hybrid construct that functions as a Boolean NAND gate, shutting off gene expression only when both chemical inputs are present simultaneously. A ...
An interdisciplinary research team from two working groups at the Center for Synthetic Biology at TU Darmstadt has developed the first RNA-based genetic switch that precisely replicates the logical ...
Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...
Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...
Sepsis, a life-threatening and costly condition, necessitates early detection for effective management. However, diagnostic and therapeutic delays are common. Furthermore, sepsis complexity and ...
Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...
In today’s information-driven society, there’s an ever-increasing preference to measure phenomena such as temperature, pressure, light, force, voltage and current. These measurements can be used in a ...
ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...
Q: What does the system do? A: It uses AI and non-invasive brain stimulation to enhance attention during mentally demanding tasks. Q: How is it personalised? A: The AI tailors stimulation intensity ...
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