摘要
由一名新闻记者-机器人与机器学习每日新闻编辑-调查人员发布了关于支持向量机的新报告。根据来自阿尔及利亚Setif的新闻报道，NewsRx记者称，“本研究研究了以橙皮为前体合成海藻酸钠包裹的BE ADS去除亚甲基蓝(MB)。制备的珠子(BOP1和BOP2)通过FTIR、XRF、SEM和TGA表征。”这项研究的财政支持者包括MESRS、DGRSDT。本报编辑引用了Ferha t Abbas大学的研究，“随后研究了温度、初始pH值、初始浓度、盐和腐植酸等因素对BOP 1和BOP2的吸附等温线分别为764.92和659.78 mg/g。”用双能单分子层(MMTE)模型对MB的吸附机理进行了热力学研究,并用三种模型对吸附动力学进行了模拟,其中PFO模型最合适,再生后的珠粒可重复使用7个循环。NaCl和腐植酸对MB吸附的影响表明，NaCl与Na+竞争抑制了MB的吸附，而腐植酸对MB吸附无影响。利用Levy飞行优化(LFD)算法建立了支持向量机(SVM)模型,该模型能够准确预测制备的微球的吸附行为,是优化微球去除最大MB工艺条件的n。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Su pport Vector Machines. According to news reporting originating from Setif, Alger ia, by NewsRx correspondents, research stated, “This study investigates the use of orange peels as a precursor for synthesizing sodium alginate -encapsulated be ads for methylene blue (MB) removal. The prepared beads (BOP1 and BOP2) underwen t characterization through FTIR, XRF, SEM and TGA.” Financial supporters for this research include MESRS, DGRSDT. Our news editors obtained a quote from the research from the University of Ferha t Abbas, “Subsequently, the impacts of various factors, including temperature, t he initial pH, initial concentration, salt and humic acid, are studied. The adso rption isotherms show high adsorbed quantities of 764.92 and 659.78 mg/g for BOP 1 and BOP2 respectively, while the obtained data are best described by the monol ayer with two energies (MMTE) model, which is then used to perform a thermodynam ic study of the MB adsorption mechanism. Additionally, the adsorption kinetics d ata are modeled using three models, with the PFO model identified as the most ap propriate. The regenerated beads demonstrate the ability to be reused up to 7 cy cles, The effects of NaCl and humic acid on MB adsorption reveal that NaCl inhib its adsorption due to competition with Na +, while humic acid has no effect. Fin ally, a support vector machine (SVM) model optimized by the Levy Flight Distribu tion Optimization (LFD) algorithm is developed and found to be capable of accura tely predicting the adsorption behavior of the prepared beads. This model is the n used in optimizing the process conditions for maximal MB removal.”
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