A Systematic Methodology for Molecular Synthesis Using Combined Property Clustering and GC+ Methods

2009 ◽  
pp. 783-792
Author(s):  
Nishanth Chemmangattuvalappil ◽  
Charles Solvason ◽  
Susilpa Bommareddy ◽  
Mario Eden

2020 ◽  
pp. 002188632098271
Author(s):  
Denny Gioia

The Journal of Applied Behavioral Science is in the enviable position of being a go-to journal for many readers seeking useable insights for solving practical problems in managing modern organizations. A perennial source of such knowledge has been case studies, but case studies have been treated as questionable sources of widely applicable knowledge because they have been assumed to be idiosyncratic and to lack adequate “scientific” rigor. In this brief article, I argue for using a methodological approach to studying single cases that addresses both these thorny problems.


2021 ◽  
Vol 104 ◽  
pp. 105361
Author(s):  
Melissa Pineda-Pinto ◽  
Christian A. Nygaard ◽  
Manoj Chandrabose ◽  
Niki Frantzeskaki

1988 ◽  
Vol 32 (17) ◽  
pp. 1179-1182 ◽  
Author(s):  
P. Jay Merkle ◽  
Douglas B. Beaudet ◽  
Robert C. Williges ◽  
David W. Herlong ◽  
Beverly H. Williges

This paper describes a systematic methodology for selecting independent variables to be considered in large-scale research problems. Five specific procedures including brainstorming, prototype interface representation, feasibility/relevance analyses, structured literature reviews, and user subjective ratings are evaluated and incorporated into an integrated strategy. This methodology is demonstrated in the context of designing the user interface for a telephone-based information inquiry system. The procedure was successful in reducing an initial set of 95 independent variables to a subset of 19 factors that warrant subsequent detailed analysis. These results are discussed in terms of a comprehensive sequential research methodology useful for investigating human factors problems.


2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Emeka Eyisi ◽  
Zhenkai Zhang ◽  
Xenofon Koutsoukos ◽  
Joseph Porter ◽  
Gabor Karsai ◽  
...  

The systematic design of automotive control applications is a challenging problem due to lack of understanding of the complex and tight interactions that often manifest during the integration of components from the control design phase with the components from software generation and deployment on actual platform/network. In order to address this challenge, we present a systematic methodology and a toolchain using well-defined models to integrate components from various design phases with specific emphasis on restricting the complex interactions that manifest during integration such as timing, deployment, and quantization. We present an experimental platform for the evaluation and testing of the design process. The approach is applied to the development of an adaptive cruise control, and we present experimental results that demonstrate the efficacy of the approach.


2016 ◽  
Vol 27 (12) ◽  
pp. 3397-3411 ◽  
Author(s):  
Bo Fang ◽  
Karthik Pattabiraman ◽  
Matei Ripeanu ◽  
Sudhanva Gurumurthi

2015 ◽  
Vol 03 (01n02) ◽  
pp. 1540004 ◽  
Author(s):  
Xialu Wu ◽  
David J. Young ◽  
T. S. Andy Hor

As molecular synthesis advances, we are beginning to learn control of not only the chemical reactivity (and function) of molecules, but also of their interactions with other molecules. It is this basic idea that has led to the current explosion of supramolecular science and engineering. Parallel to this development, chemists have been actively pursuing the design of very large molecules using basic molecular building blocks. Herein, we review the general development of supramolecular chemistry and particularly of two new branches: supramolecular coordination complexes (SCCs) and metal organic frameworks (MOFs). These two fields are discussed in detail with typical examples to illustrate what is now possible and what challenges lie ahead for tomorrow's molecular artisans.


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