The process flow of MAMCR is shown in the algorithm1. There are general preprocessing steps that can be applied to most datasets as a starting point. It includes data cleaning, data scaling and normalisation, data splitting, feature engineering and encoding, and handling imbalanced data. While t...
This paper introduces a novel algorithm for effective and accurate extraction of non-invasive fetal electrocardiogram (NI-fECG). In NI-fECG based monitoring, the useful signal is measured along with other signals generated by the pregnant women’s body,
Incorporation of radioactive material. • Materials emit gamma rays that can be detected, recorded and analysed in real time or recorded for later analysis via gamma ray logging tool. • Disadvantage: issues in the handling, transportation, storage and environmental concerns due to short half-li...
linearity, accuracy, repeatability, and limit of quantitation (LOQ) of the method were established. The method was determined to be linear in the range of 10–200 μg/mL. Accuracy was assessed by spiking a chow placebo with various amounts of a cuprizone reference standard to achieve...
(1992–2017) Large scale, industrial applications of FEM and development of material modeling, and IV (2018–) the state-of-the-art FEM technology for the current and future eras of FEM research. Note that this paper may not strictly follow the chronological order of FEM developments, because...
Post-database search is a key procedure in peptide identification with tandem mass spectrometry (MS/MS) strategies for refining peptide-spectrum matches (PSMs) generated by database search engines. Although many statistical and machine learning-based met
Materials and methods Plant material and flg22 treatment Arabidopsis thaliana (Col-0, npr1-1, jar1-1 and ein2-5) plants were grown under short-day conditions (8 hr light/16 hr dark cycles). No-0 and slh1 plants were grown in short day conditions (10 h light / 14 h dark) for 4...
The Framework Method for the management and analysis of qualitative data has been used since the 1980s [1]. The method originated in large-scale social policy research but is becoming an increasingly popular approach in medical and health research; however, there is some confusion about its ...
The vigorous development of the construction industry has also brought unprecedented safety risks. The wearing of safety helmets at the construction site can effectively reduce casualties. As a result, this paper suggests employing a deep learning-based
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