scholarly journals Fast simulation of large-scale growth models

2012 ◽  
Vol 42 (2) ◽  
pp. 185-213 ◽  
Author(s):  
Tobias Friedrich ◽  
Lionel Levine
Keyword(s):  
Large Scale ◽  
Growth Models ◽  
Fast Simulation ◽  
Scale Growth

BIOTECHNOLOGY: Large-Scale Growth

Science ◽  
2001 ◽  
Vol 294 (5545) ◽  
pp. 1243d-1243
Author(s):  
B. Purnell
Keyword(s):  
Large Scale ◽  
Scale Growth

Large scale growth of vertically standing MoS 2 flakes on 2D nanosheet using organic promoter

2D Materials ◽  
2017 ◽  
Vol 4 (2) ◽  
pp. 025042 ◽  
Author(s):  
Min-A Kang ◽  
Seong K Kim ◽  
Jin Kyu Han ◽  
Seong Jun Kim ◽  
Sung-Jin Chang ◽  
...  
Keyword(s):  
Large Scale ◽  
Scale Growth

Dynamic Measurement Modeling: Using Nonlinear Growth Models to Estimate Student Learning Capacity

2017 ◽  
Vol 46 (6) ◽  
pp. 284-292 ◽  
Author(s):  
Denis G. Dumas ◽  
Daniel M. McNeish
Keyword(s):  
Multiple Testing ◽  
Large Scale ◽  
Growth Models ◽  
Dynamic Assessment ◽  
The United States ◽  
Dynamic Measurement ◽  
Data Sets ◽  
Data Systems ◽  
Longitudinal Assessment ◽  
Assessment Practice

Single-timepoint educational measurement practices are capable of assessing student ability at the time of testing but are not designed to be informative of student capacity for developing in any particular academic domain, despite commonly being used in such a manner. For this reason, such measurement practice systematically underestimates the potential of students from nondominant socioeconomic or ethnic groups, who may not have had adequate opportunity to develop various academic skills but can nonetheless do so in the future. One long-standing approach to the partial rectification of this issue is dynamic assessment (DA), a technique that features multiple testing occasions integrated with learning opportunities. However, DA is extremely resource intensive to incorporate into educational assessment practice and cannot be applied to extant large-scale data sets. In this article, the authors describe a recently developed statistical technique, dynamic measurement modeling (DMM), which is capable of estimating quantities associated with DA—including student capacity for learning a particular skill—from existing large-scale longitudinal assessment data, allowing the core concepts of DA to be scaled up for use with secondary data sets such as those collected by Statewide Longitudinal Data Systems in the United States. The authors show that by considering several assessments over time, student capacity can be reliably estimated, and these capacity estimates are much less affected by student race/ethnicity, gender, and socioeconomic status than are single-timepoint assessment scores, thereby improving the consequential validity of measurement.

scholarly journals Microalgae for High-Value Products Towards Human Health and Nutrition

Marine Drugs ◽  
2019 ◽  
Vol 17 (5) ◽  
pp. 304 ◽  
Author(s):  
Ines Barkia ◽  
Nazamid Saari ◽  
Schonna R. Manning
Keyword(s):  
Bioactive Compounds ◽  
Large Scale ◽  
Commercial Production ◽  
Health Conditions ◽  
Omega 3 Fatty Acids ◽  
Omega 3 ◽  
Scale Growth ◽  
Health And Nutrition ◽  
Potential Source ◽  
Common Problems

Microalgae represent a potential source of renewable nutrition and there is growing interest in algae-based dietary supplements in the form of whole biomass, e.g., Chlorella and Arthrospira, or purified extracts containing omega-3 fatty acids and carotenoids. The commercial production of bioactive compounds from microalgae is currently challenged by the biorefinery process. This review focuses on the biochemical composition of microalgae, the complexities of mass cultivation, as well as potential therapeutic applications. The advantages of open and closed growth systems are discussed, including common problems encountered with large-scale growth systems. Several methods are used for the purification and isolation of bioactive compounds, and many products from microalgae have shown potential as antioxidants and treatments for hypertension, among other health conditions. However, there are many unknown algal metabolites and potential impurities that could cause harm, so more research is needed to characterize strains of interest, improve overall operation, and generate safe, functional products.

Large-scale growth and shape evolution of bismuth ferrite particles with a hydrothermal method

2011 ◽  
Vol 126 (3) ◽  
pp. 560-567 ◽  
Author(s):  
Xian-Zhi Chen ◽  
Zhong-Cheng Qiu ◽  
Jian-Ping Zhou ◽  
Gangqiang Zhu ◽  
Xiao-Bing Bian ◽  
...  
Keyword(s):  
Hydrothermal Method ◽  
Large Scale ◽  
Bismuth Ferrite ◽  
Shape Evolution ◽  
Scale Growth

Large-Scale Growth of Ultrathin Low-Dimensional Perovskite Nanosheets for High-Detectivity Photodetectors

2019 ◽  
Vol 12 (2) ◽  
pp. 2884-2891 ◽  
Author(s):  
Xianwei Fu ◽  
Shilong Jiao ◽  
Ying Jiang ◽  
Lihui Li ◽  
Xiaoxia Wang ◽  
...  
Keyword(s):  
Large Scale ◽  
Scale Growth ◽  
Low Dimensional
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