CHARACTERIZATION OF BIOSTIMULANT MODE OF ACTION USING NOVEL MULTI-TRAIT HIGH-THROUGHPUT SCREENING OF ARABIDOPSIS GERMINATION AND ROSETTE GROWTH

Characterization of Biostimulant Mode of Action Using Novel Multi-Trait High-Throughput Screening of Arabidopsis Germination and Rosette Growth

Environmental stresses have a significant effect on agricultural crop productivity worldwide.Exposure of seeds to abiotic stresses, such as salinity among others, results in lower seed viability, reduced germination, and poor seedling establishment.Alternative agronomic practices, e.g., the use of plant biostimulants, have attracted considerable in

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A systematic review of prediction models for spontaneous preterm birth in singleton asymptomatic pregnant women with risk factors

Backgrounds: Spontaneous preterm birth (SPB) is a global problem.Early screening, identification, and prevention in asymptomatic pregnant women with risk factors for preterm birth can help reduce the incidence and mortality of preterm births.Therefore, this study systematically reviewed prediction models for spontaneous preterm birth, summarised th

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Gas-dynamic roof fall during the potash deposits development

In the development of practically all potash salt deposits, the study of gas-dynamic phenomena (GDP) is one Baby Feeding of the most difficult tasks to ensure mining safety.Sudden salt and gas outbursts, dynamic breakdown, which are accompanied by intense gas release and possible broken rock carry-over into the mine workings, are associated with GD

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PROLIFIC: A Fast and Robust Profile-Likelihood-Based Muscle Onset Detection in Electromyogram Using Discrete Fibonacci Search

A stochastic scheme, namely, PLM-Lap, has recently been propounded, which relies on the profile likelihood (PL) constructed with a Laplace distribution for estimating muscle activation onsets (MAOs) in surface electromyographic (sEMG) data.The MAO detection accuracy and robustness of the PLM-Lap have been empirically shown to be better than those o

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