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Using the Bifocal Modeling Framework to Resolve “Discrepant Events” Between Physical Experiments and Virtual Models in Biology

机译：使用双焦点建模框架解决物理实验和生物学中虚拟模型之间的“分散事件”

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Paulo Blikstein; Tamar Fuhrmann; Shima Salehi;
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年度 2016
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1. Using the Bifocal Modeling Framework to Resolve "Discrepant Events" Between Physical Experiments and Virtual Models in Biology [J] . Blikstein Paulo, Fuhrmann Tamar, Salehi Shima Journal of Science Education and Technology . 2016,第4期

机译：使用双焦点建模框架解决生物学中物理实验和虚拟模型之间的“分散事件”
2. Controlling spurious diapycnal mixing in eddy-resolving height-coordinate ocean models - Insights from virtual deliberate tracer release experiments [J] . Hill Chris, Ferreira David, Campin Jean-Michel, Ocean modelling . 2012,第Null期

机译：在解析涡旋的高度坐标海洋模型中控制伪斜向混合-虚拟故意示踪剂释放实验的见解
3. VIRTUAL MODELING OF PHYSICAL EXPERIMENT FOR DISTANCE LEARNING SYSTEMS IN THE SECONDARY AND HIGHER PEDAGOGICAL SCHOOLS [J] . Mykola V. Holovko, Serhii Yu. Kryzhanovskyi, Viktor M. Matsiuk Information Technologies and Learning Tools . 2015,第3期

机译：中学及高等教育学校远程学习系统物理实验的虚拟建模
4. A Computational Model-Based Framework to Plan Clinical Experiments - An Application to Vascular Adaptation Biology [C] . Stefano Casarin, Scott A. Berceli, Marc Garbey International conference on computational science . 2018

机译：基于计算模型的临床实验计划框架-在血管适应生物学中的应用
5. A framework for risk assessment of radiological dispersion device (RDD) events: Integrating physical dispersion and behavioral response models. [D] . Dombroski, Matthew James. 2005

机译：放射性弥散装置（RDD）事件风险评估的框架：整合物理弥散和行为响应模型。
6. A Computational Model-Based Framework to Plan Clinical Experiments – an Application to Vascular Adaptation Biology [O] . Stefano Casarin, Scott A. Berceli, Marc Garbey -1

机译：基于计算模型的计划临床实验的框架–在血管适应生物学中的应用
7. Choosing an appropriate modelling framework for analysing multispecies co-culture cell biology experiments [O] . Markham Deborah C., Simpson Matthew, Baker Ruth 2015

机译：选择合适的建模框架来分析多物种共培养细胞生物学实验

Using the Bifocal Modeling Framework to Resolve “Discrepant Events” Between Physical Experiments and Virtual Models in Biology

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