Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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Material Type: Article
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Statistical Tools to Optimize the Recovery of Bioactive Compounds from Marine ByproductsMarine 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: 38667799Full text available |
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Material Type: Article
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Quantitative Evaluation of Pre-Drilling Safety by Combining Analytic Hierarchy Process with Alternating Condition ExpectationProcesses, 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/pr12040730Full text available |
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3 |
Material Type: 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 MethodInternational 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: 10.1155/2024/8734695Full text available |
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4 |
Material Type: Article
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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 NetworkWater (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/w16081184Full text available |