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Machine learning-driven optimization of mRNA-lipid nanoparticle vaccine quality with XGBoost/Bayesian method and ensemble model approaches
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作者 Ravi Maharjan Ki Hyun Kim +2 位作者 Kyeong Lee Hyo-Kyung Han Seong Hoon Jeong 《Journal of Pharmaceutical Analysis》 CSCD 2024年第11期1645-1660,共16页
To enhance the efficiency of vaccine manufacturing,this study focuses on optimizing the microfluidic conditions and lipid mix ratios of messenger RNA-lipid nanoparticles(mRNA-LNP).Different mRNA-LNP formulations(n=24)... To enhance the efficiency of vaccine manufacturing,this study focuses on optimizing the microfluidic conditions and lipid mix ratios of messenger RNA-lipid nanoparticles(mRNA-LNP).Different mRNA-LNP formulations(n=24)were developed using an I-optimal design,where machine learning tools(XGBoost/Bayesian optimization and self-validated ensemble(SVEM))were used to optimize the process and predict lipid mix ratio.The investigation included material attributes,their respective ratios,and process attributes.The critical responses like particle size(PS),polydispersity index(PDI),Zeta potential,pKa,heat trend cycle,encapsulation efficiency(EE),recovery ratio,and encapsulated mRNA were evaluated.Overall prediction of SVEM(>97%)was comparably better than that of XGBoost/Bayesian optimization(>94%).Moreover,in actual experimental outcomes,SVEM prediction is close to the actual data as confirmed by the experimental PS(94-96 nm)is close to the predicted one(95-97 nm).The other parameters including PDI and EE were also close to the actual experimental data. 展开更多
关键词 Vaccine manufacturing Microfluidic device XGBoost Bayesian optimization self-validated ensemble model
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Thought Confidence: Consumer Emotions and the Confidence Premise Hypothesis
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作者 Hsuan-Yi Chou 《Management Studies》 2016年第5期219-226,共8页
Thought confidence,a subjective perception of metacognition,and the accompanying self-validated effects that occur when thought confidence is induced after exposure to persuasive messages have recently received increa... Thought confidence,a subjective perception of metacognition,and the accompanying self-validated effects that occur when thought confidence is induced after exposure to persuasive messages have recently received increasing attention from scholars.This construct/mechanism has received little exploration in the past,while there remain important research gaps.One question is whether thought confidence can play different roles when induced at different times;another is whether more variables can be identified which effectively induce confidence in existing or subsequent thoughts.The current paper examines a possible antecedent of thought confidence(i.e.,consumer emotions)and explores the effects of thought confidence induced in consumers before they are exposed to advertisements.The author posited the confidence premise hypothesis,which holds that higher consumer confidence is a prerequisite for the significantly positive effects of argument strength in advertisements.Eighty-one undergraduates participated in a 2(emotions:good moods vs.neutral moods)×2(argument strength:strong arguments vs.weak arguments)between-subjects experiment.Experimental results indicate that consumers'emotions positively affect their confidence in thoughts generated later.There is an anticipated pattern of interaction between emotions and argument strength in affecting advertising effectiveness,which supports the confidence premise hypothesis.The implications of these and other findings are discussed. 展开更多
关键词 thought confidence METACOGNITION self-validated hypothesis consumer emotions confidence premisehypothesis argument strength
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Interval Integration Revisited
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作者 Sérgio Galdino 《Open Journal of Applied Sciences》 2012年第4期108-111,共4页
We present an overview of approaches to selfvalidating?one-dimensional integration quadrature formulas and?a verified numerical integration algorithm with an adaptive?strategy. The new interval integration adaptive al... We present an overview of approaches to selfvalidating?one-dimensional integration quadrature formulas and?a verified numerical integration algorithm with an adaptive?strategy. The new interval integration adaptive algorithm delivers?a desired integral enclosure with an error bounded by a specified?error bound. The adaptive technique is usually much more?efficient than Simpson’s rule and narrow interval results can?be reached. 展开更多
关键词 INTERVAL COMPUTING self-validating METHODS NUMERICAL INTEGRATION & INTERVAL ARITHMETIC
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