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Sustainable Polymer & Energy - Volume 2/Issue 4 (December 2024) - SCIEPublish
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<path fill-rule="evenodd" d="M7.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L13.293 8 7.646 2.354a.5.5 0 0 1 0-.708z"></path> </svg> </a> <a class="d-flex align-items-center" href="/my/submitting/journal/30"> Submit to SPE <svg xmlns="http://www.w3.org/2000/svg" width="12" height="12" fill="currentColor" class="bi bi-chevron-double-right" viewBox="0 0 16 16"> <path fill-rule="evenodd" d="M3.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L9.293 8 3.646 2.354a.5.5 0 0 1 0-.708z"></path> <path fill-rule="evenodd" d="M7.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L13.293 8 7.646 2.354a.5.5 0 0 1 0-.708z"></path> </svg> </a> </div> </div> </div> </section> <script> $(function () { /**/ var windowH = $(window).height(), documentH = $(document).height(); $(window).scroll(function(){ var scrollTop = $(this).scrollTop(), column = $('.book-column'), columnTop = $('header').height(); if( documentH > windowH+200 ){ scrollTop > columnTop ? column.addClass('fixed') : column.removeClass('fixed'); } }) }) </script> <section class="book-item book-item-details"> <div class="my-body-container padding0"> <div class="d-flex align-items-start border-bottom border-dark pb-1"> <div class="flex-grow-1 left-title mr-4"> <h1 class="mb-2">Issue 4, Volume 2 – 2 articles </h1> <div class="right-title"> <div class="text1"> </div> </div> </div> </div> </div> </section> <section class="index-articles set-minheight-480 pb-3"> <div class="my-body-container padding0"> <div class="d-flex article-box pt-3 pb-3"> <div class="sc-width-200 pr-3"> <h4>Communication</h4> <span>23 October 2024</span> </div> <div class="sc-flex-value1 d-flex flex-wrap"> <div> <h3 class="article-title"> <a class="anchor" href="/article/pii/310">Modeling Viscosity in Starch-Polymer Suspensions: A Comparative Analysis of Swarm Algorithm-Aided ANN Optimization</a> </h3> <p class="article-abseract clamp">The analysis of rheological properties of suspensions requires the use of models such as Einstein’s formulation for viscosity in dilute conditions, but its effectiveness diminishes in the context of concentrated suspensions. This study investigates the rheology of suspensions containing solid particles in aqueous media thickened with starch nanoparticles (SNP). The goal is to model the viscosity of these mixtures across a range of shear rates and varying amounts of SNP and SG hollow spheres (SGHP). Artificial neural networks (ANN) combined with swarm intelligence algorithms were used for viscosity modeling, utilizing 1104 data points. Key features include SNP proportion, SGHP content, log-transformed shear rate (LogSR), and log-transformed viscosity (LogViscosity) as an output. Three swarm algorithms<b>—</b>AntLion Optimizer (ALO), Particle Swarm Optimizer (PSO), and Dragonfly Algorithm (DA)<b>—</b>were evaluated for optimizing ANN hyperparameters. The ALO algorithm proved most effective, demonstrating strong convergence, exploration, and exploitation. Comparative analysis of ANN models revealed the superior performance of ANN-ALO, with an R<sup>2</sup> of 0.9861, mean absolute error (MAE) of 0.1013, root mean absolute error (RMSE) of 0.1356, and mean absolute percentage error (MAPE) of 3.198%. While all models showed high predictive accuracy, the ANN-PSO model had more limitations. These findings enhance understanding of starch suspension rheology, offering potential applications in materials science.</p> </div> <div class="authors-list align-self-end"> <i class="fal fa-user"></i> <div class="author-name"> <a href="https://scholar.google.com/scholar?q=MohamedKouider Amar" target="_blank"> Mohamed Kouider Amar* </a> </div> <div class="author-name"> <a href="https://scholar.google.com/scholar?q=FaizaOmari" target="_blank"> Faiza Omari </a> </div> <div class="author-name"> <a href="https://scholar.google.com/scholar?q=AchouakMadani" target="_blank"> Achouak Madani </a> </div> <div class="author-name"> <a href="https://scholar.google.com/scholar?q=MohamedHentabli" target="_blank"> Mohamed Hentabli </a> </div> </div> </div> <div class="article-img"> <div class="img-thumbnail"> <a href="/uploads/2024/10/24/3f1497240927816ce0e7cd01838eaa6e.jpg" data-lightbox="image-1" data-title=""><img src="/uploads/2024/10/24/3f1497240927816ce0e7cd01838eaa6e.jpg" class=""></a> </div> </div> </div> <div class="d-flex article-box pt-3 pb-3"> <div class="sc-width-200 pr-3"> <h4>Communication</h4> <span>21 November 2024</span> </div> <div class="sc-flex-value1 d-flex flex-wrap"> <div> <h3 class="article-title"> <a class="anchor" href="/article/pii/344">Trade-offs in Encapsulation Efficiency and Drug Release: A Multi-Objective Optimization Approach</a> </h3> <p class="article-abseract clamp">Multi-objective optimization (MOO) techniques are crucial in addressing complex engineering problems with conflicting objectives, particularly in pharmaceutical applications. This study focuses on optimizing a biodegradable micro-polymeric carrier system for drug delivery, specifically maximizing the encapsulation efficiency and drug release of Candesartan Cilexetil antihypertensive drug. Achieving a balance between these two goals is essential, as higher encapsulation efficiency ensures adequate drug loading. In contrast, optimal drug release rates are critical for maintaining bioavailability and achieving therapeutic efficacy. Using response surface models to formulate the problem definition, five prominent MOO algorithms were employed: NSGA-III, MOEAD, RVEA, C-TAEA, and AGE-MOEA. The optimization process aimed to generate Pareto fronts representing compromise solutions between encapsulation efficiency and drug release. The results revealed inherent conflicts between objectives: increasing encapsulation efficiency often came at the cost of reducing the drug release rate. Evaluation of MOO algorithms using performance metrics such as hypervolume, generational distance, inverted generational distance, spacing, maximum spread, and spread metric provided insights into their strengths and weaknesses. Among the evaluated algorithms, NSGA-III emerged as the top performer, achieving a Weighted Sum Method (WSM) score of 82.0776, followed closely by MOEAD with a WSM score of 80.8869. RVEA, C-TAEA, and AGE-MOEA also demonstrated competitive formulation quality, albeit with slightly lower WSM scores. In conclusion, the study underscores the importance of MOO techniques in optimizing pharmaceutical formulations, providing valuable insights for decision-makers in selecting optimal formulations.</p> </div> <div class="authors-list align-self-end"> <i class="fal fa-user"></i> <div class="author-name"> <a href="https://scholar.google.com/scholar?q=MohamedKouider Amar" target="_blank"> Mohamed Kouider Amar* </a> </div> <div class="author-name"> <a href="https://scholar.google.com/scholar?q=AchouakMadani" target="_blank"> Achouak Madani </a> </div> <div class="author-name"> <a href="https://scholar.google.com/scholar?q=FaizaOmari" target="_blank"> Faiza Omari </a> </div> <div class="author-name"> <a href="https://scholar.google.com/scholar?q=MohamedHentabli" target="_blank"> Mohamed Hentabli </a> </div> </div> </div> <div class="article-img"> <div class="img-thumbnail"> <a href="/uploads/2024/11/22/96d1443e5acf115e251701431f788ebc.png" data-lightbox="image-2" data-title=""><img src="/uploads/2024/11/22/96d1443e5acf115e251701431f788ebc.png" class=""></a> </div> </div> </div> <!-- <div class="article-box d-flex pt-3 pb-3"> <div class="sc-width-200 pr-3"> <h4> <span class="classdise textcolor textziti textsize textys">Communication</span> <span class="textdise textcolor textziti textsize textys">Open Access</span> </h4> <span>23 October 2024</span> </div> <div class="sc-flex-value1 d-flex flex-wrap"> <h3 class="article-title"><a href="/article/pii/310">Modeling Viscosity in Starch-Polymer Suspensions: A Comparative Analysis of Swarm Algorithm-Aided ANN Optimization</a></h3> <p class="article-abseract clamp"><em>Sustainable Polymer & Energy</em> <b>2024</b>, <em>2</em>(4), 10009; <a href="https://doi.org/10.70322/spe.2024.10009">https://doi.org/10.70322/spe.2024.10009</a></p> <p class="article-abseract clamp">The analysis of rheological properties of suspensions requires the use of models such as Einstein’s formulation for viscosity in dilute conditions, ...</p> <div class="authors-list align-self-end"> <div class="d-flex align-items-center justify-content-between"> <div> <a href="https://scholar.google.com/scholar?q=Mohamed Kouider Amar" target="_blank">Mohamed Kouider Amar</a> <a href="https://scholar.google.com/scholar?q=Faiza Omari" target="_blank">Faiza Omari</a> <a href="https://scholar.google.com/scholar?q=Achouak Madani" target="_blank">Achouak Madani</a> <a href="https://scholar.google.com/scholar?q=Mohamed Hentabli" target="_blank">Mohamed Hentabli</a> </div> <span><i class="fal fa-calendar-alt"></i> 23 October 2024</span> </div> </div> </div> </div> <div class="article-box d-flex pt-3 pb-3"> <div class="sc-width-200 pr-3"> <h4> <span class="classdise textcolor textziti textsize textys">Communication</span> <span class="textdise textcolor textziti textsize textys">Open Access</span> </h4> <span>21 November 2024</span> </div> <div class="sc-flex-value1 d-flex flex-wrap"> <h3 class="article-title"><a href="/article/pii/344">Trade-offs in Encapsulation Efficiency and Drug Release: A Multi-Objective Optimization Approach</a></h3> <p class="article-abseract clamp"><em>Sustainable Polymer & Energy</em> <b>2024</b>, <em>2</em>(4), 10010; <a href="https://doi.org/10.70322/spe.2024.10010">https://doi.org/10.70322/spe.2024.10010</a></p> <p class="article-abseract clamp">Multi-objective optimization (MOO) techniques are crucial in addressing complex engineering problems with conflicting objectives, particularly in ph...</p> <div class="authors-list align-self-end"> <div class="d-flex align-items-center justify-content-between"> <div> <a href="https://scholar.google.com/scholar?q=Mohamed Kouider Amar" target="_blank">Mohamed Kouider Amar</a> <a href="https://scholar.google.com/scholar?q=Achouak Madani" target="_blank">Achouak Madani</a> <a href="https://scholar.google.com/scholar?q=Faiza Omari" target="_blank">Faiza Omari</a> <a href="https://scholar.google.com/scholar?q=Mohamed Hentabli" target="_blank">Mohamed Hentabli</a> 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