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1
Statistical Tools to Optimize the Recovery of Bioactive Compounds from Marine Byproducts
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Article
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Statistical Tools to Optimize the Recovery of Bioactive Compounds from Marine Byproducts

Marine drugs, 2024-04, Vol.22 (4), p.182 [Peer Reviewed Journal]

2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 1660-3397 ;DOI: 10.3390/md22040182 ;PMID: 38667799

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2
Quantitative Evaluation of Pre-Drilling Safety by Combining Analytic Hierarchy Process with Alternating Condition Expectation
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Article
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Quantitative Evaluation of Pre-Drilling Safety by Combining Analytic Hierarchy Process with Alternating Condition Expectation

Processes, 2024-01, Vol.12 (4), p.730 [Peer Reviewed Journal]

2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2227-9717 ;DOI: 10.3390/pr12040730

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3
A Retrospective Analysis of Polymer Selection Using Solvent Casting: Formulation and DoE Optimization of the Amorphous Solid Dispersion of Amoxicillin Trihydrate by a Spray Drying Method
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Article
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A Retrospective Analysis of Polymer Selection Using Solvent Casting: Formulation and DoE Optimization of the Amorphous Solid Dispersion of Amoxicillin Trihydrate by a Spray Drying Method

International Journal of Chemical Engineering, 2024, Vol.2024 [Peer Reviewed Journal]

Copyright © 2024 Chetan Borkhataria et al. ;Copyright © 2024 Chetan Borkhataria et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;ISSN: 1687-806X ;EISSN: 1687-8078 ;DOI: 10.1155/2024/8734695

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4
Research on the Prediction of Infiltration Depth of Xiashu Loess Slopes Based on Particle Swarm Optimized Back Propagation (PSO-BP) Neural Network
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Research on the Prediction of Infiltration Depth of Xiashu Loess Slopes Based on Particle Swarm Optimized Back Propagation (PSO-BP) Neural Network

Water (Basel), 2024-04, Vol.16 (8), p.1184 [Peer Reviewed Journal]

2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2073-4441 ;DOI: 10.3390/w16081184

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