Computational fluid dynamics modeling of aerosol particle transport through lung airway mucosa [0.03%]
气溶胶颗粒通过肺部气道粘膜的计算流体动力学模型仿真研究
Blake A Bartlett,Yu Feng,Catherine A Fromen et al.
Blake A Bartlett et al.
Delivery of aerosols to the lung can treat various lung diseases. However, the conducting airways are coated by a protective mucus layer with complex properties that make this form of delivery difficult. Mucus is a non-Newtonian fluid and i...
Surrogate-based Optimization of Capture Chromatography Platforms for the Improvement of Computational Efficiency [0.03%]
基于代理的捕获色谱平台的优化以提高计算效率
Juan J Romero,Eleanor W Jenkins,Scott M Husson
Juan J Romero
In this work, we discuss the use of surrogate functions and a new optimization framework to create an efficient and robust computational framework for process design. Our model process is the capture chromatography unit operation for monocl...
A perspective on Quality-by-Control (QbC) in pharmaceutical continuous manufacturing [0.03%]
论药物业连续制造中的质量控制(QbC)观点
Qinglin Su,Sudarshan Ganesh,Mariana Moreno et al.
Qinglin Su et al.
The Quality-by-Design (QbD) guidance issued by the US Food and Drug Administration (FDA) has catalyzed the modernization of pharmaceutical manufacturing practices including the adoption of continuous manufacturing. Active process control wa...
ADAM: A web platform for graph-based modeling and optimization of supply chains [0.03%]
ADAM：一个基于图的供应链建模和优化的网络平台
Yicheng Hu,Weiqi Zhang,Philip Tominac et al.
Yicheng Hu et al.
Modeling and optimization are essential tasks that arise in the analysis and design of supply chains (SCs). SC models are essential for understanding emergent behavior such as transactions between participants, inherent value of products ex...
DRPADC: A novel drug repositioning algorithm predicting adaptive drugs for COVID-19 [0.03%]
一种新颖的药物重定位算法预测COVID-19的适应性药物
Guobo Xie,Haojie Xu,Jianming Li et al.
Guobo Xie et al.
Given that the usual process of developing a new vaccine or drug for COVID-19 demands significant time and funds, drug repositioning has emerged as a promising therapeutic strategy. We propose a method named DRPADC to predict novel drug-dis...
Optimizing Behavioral Interventions to Regulate Gestational Weight Gain With Sequential Decision Policies Using Hybrid Model Predictive Control [0.03%]
基于混合模型预测控制的序贯决策政策在优化行为干预以调节妊娠体重增长中的应用
Penghong Guo,Daniel E Rivera,Yuwen Dong et al.
Penghong Guo et al.
Excessive gestational weight gain is a significant public health concern that has been the recent focus of control systems-based interventions. Healthy Mom Zone (HMZ) is an intervention study that aims to develop and validate an individuall...
Discerning in vitro pharmacodynamics from OD measurements: A model-based approach [0.03%]
基于模型的药物动力学体外检测方法的一种新的评价方式
Iordanis Kesisoglou,Vincent H Tam,Andrew P Tomaras et al.
Iordanis Kesisoglou et al.
Time-kill experiments can discern the pharmacodynamics of infectious bacteria exposed to antibiotics in vitro, and thus help guide the design of effective therapies for challenging clinical infections. This task is resource-limited, therefo...
Daniel R Lewin
Daniel R Lewin
After more than a year of online teaching resulting from the COVID-19 pandemic, it is time to take stock of the status quo in teaching practice in all things concerning process systems engineering (PSE), and to derive recommendations for th...
Ziegler and Nichols meet Kermack and McKendrick: Parsimony in dynamic models for epidemiology [0.03%]
齐格勒和尼科尔森遇见凯尔马克和麦肯德里克：流行病学动态模型的简约性
Michael Nikolaou
Michael Nikolaou
The COVID-19 crisis popularized the importance of mathematical modeling for managing epidemics. A celebrated pertinent model was developed by Kermack and McKendrick about a century ago. A simplified version of that model has long been used ...
SIMULTANEOUS IN VITRO SIMULATION OF MULTIPLE ANTIMICROBIAL AGENTS WITH DIFFERENT ELIMINATION HALF-LIVES IN A PRE-CLINICAL INFECTION MODEL [0.03%]
具有不同消除半衰期的多种抗菌剂的体外同步模拟：临床感染模型研究
Iordanis Kesisoglou,Brianna M Eales,Kimberly R Ledesma et al.
Iordanis Kesisoglou et al.
Combination therapy for treatment of multi-drug resistant bacterial infections is becoming common. In vitro testing of drug combinations under realistic pharmacokinetic conditions is needed before a corresponding combination is eventually p...