Introduction to Novel Three Step

We used the standard DPSIR framework to establish broad-scale relationships, before developing two extensions to the initial DPSIR, which together formed a novel three-step approach.

A novel three-step synthesis approach of TiO2/BiOCl/La2O3 heterostructures was successfully prepared by hydrothermal, co-precipitation and solid-state reaction for enhances the photocatalytic activity through the degradation of Rhodamine B (RhB) and Reactive Yellow 86 (RY 86) organic dyes under UV-light illumination.

Subsequently, a novel three-step design process was developed and scripted to generate respirator mask CAD models for each volunteer.

We used a novel three-step approach to identify the top network features with the largest impact on the career mobility of members who are otherwise similar in demographics, education, and work experiences, and translated them into actionable recommendations.

In order to overcome this problem, the proposed model is a novel three-step process to store and analyze the large volumes of data.

OBJECTIVE Quantitatively measure the degree of patient satisfaction and perceived acquired knowledge through the development of a patient information booklet for rectal cancer survivors with a stoma, according to a novel three-step approach.

The present study reports the novel three-step synthesis of magnetically separable Fe3O4@SiO2-SO3H-DABCO core-shell magnetic nanocomposite catalyst and evaluation of its catalytic efficiency involving the synthesis of structurally diverse diheteroarylmethanes via one-pot reaction of indoles, aryl aldehydes and 4-hydroxycoumarin in aqueous ethanol (50:50 v/v) at ambient conditions.

(2020) proposed and tested a novel three-step framework for examining the extent to which reassessment of dynamic risk and protective factors enhances the prediction of imminent criminal recidivism.

Instead of testing each position in the genome individually, the novel three-step algorithm, called DeepCOMBI, first trains a neural network for the classification of subjects into their respective phenotypes.

In this paper, we propose a concept of hybrid specification and describe a novel three-step hybrid specification approach to address this problem.

07O3–CaZrO3 lead-free piezoelectric ceramics were synthesized via a novel three-step sintering approach at low temperature.

A novel three-step disaggregation topology is applied to complement NILM problems.

Surface level sulphur (S) doped TiO2 nanorods (S-TNRs) were fabricated via toxic-free novel three-step processes such as low-temperature hydrothermal method followed by thermal evaporation (S layer) and post-annealing (350 °C, 450 °C and 550 °C) techniques.

In this article, a novel three-step intelligent fault diagnosis method is proposed based on CNN and Bayesian Gaussian mixture (BGM) for rotating machinery.

The study also proposed a novel three-step lineage-specific model for the diagnosis of leukemia.

A novel three-step four-transformation approach to highly functionalised 5-amino-3,4-dihydro-2H-pyrrole-2-carboxylic acid esters, starting from commercially available phenylsulfonylacetonitrile, aldehydes and N -(diphenylmethylene)glycine tert -butyl ester, was developed.

A notched Si/SiGe fin etching is first achieved by using a novel three-step etching after a high-quality of SiGe layer epitaxially grown is realized on a Si substrate by optimizing the epitaxial process.

A novel three-step process consisting of disc tube reverse osmosis (DTRO), Fenton oxidation, and low temperature crystallization is described for the treatment of printing and dyeing wastewater.

A novel three-step approach in the analysis of the keyword co-occurrence networks (KCN) is proposed to identify the knowledge structure, knowledge clusters and trending keywords within AIED over time.

The aim of this radiographic study was to determine the accuracy of a novel three-step technique for improving the accuracy of the distal femoral cut during conventional technique and compare it with computer navigation during TKA.

This study proposes a novel three-step classification approach based on time-dependent spectral features (TDSFs) for the classification of complex power quality disturbances (PQDs).

In this study, we introduce MIGRATE (Machine learnInG foR smArT Energy), a novel three-step framework to predict the machine-specific load profiles via energy disaggregation, which are in turn used to predict the machine’s activity state and the respective production capacities.

They propose a novel three-step econometric method for cross-validating and conducting statistical inference on machine learning classifiers and explaining forecasts.