ACCURATE MACHINE LEARNING-BASED GERMINATION DETECTION, PREDICTION AND QUALITY ASSESSMENT OF THREE GRAIN CROPS

Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops

Abstract Background Assessment of seed germination is TMG an essential task for seed researchers to measure the quality and performance of seeds.Usually, seed assessments are done manually, which is a cumbersome, time consuming and error-prone process.Classical image analyses methods are not well suited for large-scale germination experiments, beca

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The emerging regulatory potential of SCFMet30 -mediated polyubiquitination and proteolysis of the Met4 transcriptional activator

Abstract Upper Frame Cap The yeast SCFMet30 ubiquitin ligase plays a critical role in cell division by regulating the Met4 transcriptional activator of genes that control the uptake and assimilation of sulfur into methionine and S-adenosyl-methionine.The initial view on how SCFMet30 performs its function has been driven by the assumption that SCFMe

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Finding spin glass ground states using quantum walks

Quantum computation using continuous-time evolution under a natural hardware Hamiltonian is a promising near- and mid-term direction toward powerful quantum computing hardware.We investigate the performance of continuous-time quantum walks as a tool for finding spin glass ground states, a problem that serves Microfibre Cloths as a useful model for

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