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Full-Text Articles in Physical Sciences and Mathematics
Wellspring Waste To Energy Feasibility Study, Andrew Clinton, Emily Hajjar, Frank Nakashian
Wellspring Waste To Energy Feasibility Study, Andrew Clinton, Emily Hajjar, Frank Nakashian
School of Public Policy Capstones
This study was conducted by the University of Massachusetts Amherst public policy masters students for Springfield based Wellspring Cooperative, a nonprofit focused on cooperative job creation and training. The project assesses three potential scale options for Wellspring in order to use organic material to heat and/or generate electricity to power its hydroponic greenhouse. Though the greenhouse is not constructed as of yet, its source of energy is an important element for Wellspring. Motivations for utilizing organic waste to power the greenhouse are due in part to the influx of food waste sources being diverted due to the new Massachusetts Food …
Syllabus: Sustainable Living: Solutions For The 21st Century, Lena Fletcher
Syllabus: Sustainable Living: Solutions For The 21st Century, Lena Fletcher
Sustainability Education Resources
In this innovative interdisciplinary course you will work with your peers to research and understand how sustainability in different contexts presents solutions to many problems facing modern society. You will work in teams to investigate, evaluate, communicate, and reflect on the multifaceted challenges associated with natural resource use, food systems, energy, transportation, waste, the built environment, water quality, and climate change. You will also research case studies, debate controversies, assess political and cultural contexts, investigate technological advances, and identify gaps in scientific knowledge. Using these resources, you and your peers will be tasked with developing your own sustainable solutions for …
Robust Optimization Of Biological Protocols, Patrick Flaherty, Ronald W. Davis
Robust Optimization Of Biological Protocols, Patrick Flaherty, Ronald W. Davis
Mathematics and Statistics Department Faculty Publication Series
When conducting high-throughput biological experiments, it is often necessary to develop a protocol that is both inexpensive and robust. Standard approaches are either not cost-effective or arrive at an optimized protocol that is sensitive to experimental variations. Here, we describe a novel approach that directly minimizes the cost of the protocol while ensuring the protocol is robust to experimental variation. Our approach uses a risk-averse conditional value-at-risk criterion in a robust parameter design framework. We demonstrate this approach on a polymerase chain reaction protocol and show that our improved protocol is less expensive than the standard protocol and more robust …