Long-Range Planning for Decentralized Wastewater and Stormwater Treatment Research: Literature Review

2007 ◽  
Vol 6 ◽  
Author(s):  
Carl Etnier
2020 ◽  
Author(s):  
Quang Ngoc Nguyen

Without a guideline or structure, conducting a literature review on a psychological construct might become a chaotic process . This canvas was built based on the author's experience in order to help psychological researchers classify, organize, and summarize the information relating to the psychological construct of interest into several essential aspects including definition, classification, measurement, sample, predictors and outcomes, mediators and moderators, interventions, and theories. For each aspect, there are some guiding questions which are expected to help researcher decice which information should be focused while examining scientific documents. The completely filled canvas should depict the status quo of the research on the psychological construct of interest, facilitating the research process.


Author(s):  
Holly M. Smith

Chapter 8 explores the Austere and Hybrid Responses to the problem of error. The two types of response are described in both ideal and non-ideal versions. Both are found wanting, but the Austere Response emerges as best. Codes endorsed by the Austere approach cannot be shown to meet the “goal-oriented” desiderata of maximizing social welfare, facilitating social cooperation and long-range planning, or guaranteeing the occurrence of the ideal pattern of actions. But Austere-endorsed codes do satisfy the conceptual desiderata for “usable” moral theories in the core (but not the extended) sense of “usability.” They are usable despite the agent’s false beliefs, and they provide agents with the opportunity to live a successful moral life according to the modest conception of this life. This chapter concludes that the only remedy for the problem of error is an Austere code containing a derivative duty for agents to gather information before acting.


1968 ◽  
Vol 11 (8) ◽  
pp. 12-21
Author(s):  
Ia. Kvasha ◽  
V. Krasovskii

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