Lipid content and biomass analysis in autotrophic and heterotrophic algal species

Biofuels are a form of renewable energy derived from living matter, typically plants. The push for biofuels began in order to decrease the amount of carbon dioxide (CO2) released into the atmosphere, as biofuels are essentially carbon neutral. The idea is the same amount of CO2 the plants took in to perform photosynthesis will then be released in the burning of the biofuels. Algae is an excellent source of biofuels because it grows quickly and is versatile in terms of the type of fuel it can produce. The two most common mechanisms for algae growth are heterotrophic or photoautotrophic. Heterotrophically grown algae uses an exogenous energy source, such as glucose, and uses the energy stored in it to perform cellular functions. Glucose also serves as a source of carbon and hydrogen, which are the primary elements found in lipids. In addition heterotrophic algae requires other nutrients for survival, such as water, vitamins, and inorganic ions. Algae grown photoautotrophically uses pigments in cellular photoreceptors to convert energy from light into adenosine triphosphate (ATP), an energy source, and to produce glucose. It also requires water, vitamins, and inorganic ions like the heterotrophic algae does. Some algal species, such as Chlorella zofingiensis, can be grown both photoautotrophically and heterotrophically. This algae species will be the subject of our experiment. Our experiment seeks to discover the most efficient way of growing algae to produce the highest amount of lipids. In addition to serving as a key component of cell and organelle membranes, lipids are a common form of high efficiency, long-term energy storage for living organisms, which is why lipids are extracted and processed to form biofuels. We propose growing one species of algae photoautotrophically by providing it with proper amounts of light but eliminating any glucose available. We will also grow the same species heterotrophically, with exogenous access to glucose, but eliminating all exposure to light sources. Finally, we will grow the same species mixotrophically with access to both glucose and light. Once the algae is grown, it will be harvested and analyzed for its lipid profile to determine which algae sample has the highest percent lipid content. We will also measure the percent biomass of each sample to determine which primary energy source leads to the greatest amount of total algal growth, percent organic material, and percent lipid content. We predict the algae grown with access to both sunlight and exogenous glucose will produce both the highest lipid content and the highest percent of biomass

Forecasting Inflation: the Relevance of Higher Moments

We provide evidence that higher moments of the relative price distribution improve out-of-sample forecasts of inflation. Further, we show how theoretically consistent higher moments can be calculated by expanding the seminal work by Theil (1967). Results presented here are of direct relevance to monetary authorities, policy analysts and academic economistsrelative price distribution, higher moments, out-of-sample inflation forecasting

Social Enterprise: bridging the gap between statutory and third sector

This article contributes to research of vulnerable communities and investigates the role of social enterprise created or saved from closure by social entrepreneurs affected personally by a life-changing event, in the context of stroke survival. Qualitative research is deployed to investigate the ways in which social enterprise supports survivors of stroke and their caregivers. Research analysis identifies start-up motives and challenges faced by social entrepreneurs and highlights how social enterprise can bridge the gap in support provision provided by the statutory and third sectors. Involvement in stroke clubs was found to be a key positive contributor to participants’ life after stroke. This study has found that those who become social entrepreneurs after a life-changing event exhibit altruistic behaviours, while engagement between these social enterprises and this vulnerable group created specific benefits for vulnerable individuals and their caregivers, highlighting the potential for social enterprise to bridge the gap between statutory and third sectors which is currently overlooked in existing policy provision. The article concludes by making detailed recommendations for future research in this context and for governments and policymakers

Collaborative Creation of the OER Metadata Rosetta Stone

The OER Discovery Working Group is a newly formed collaborative effort among OER advocates, facilitated by the Scholarly Publishing and Academic Resources Coalition (SPARC), involving metadata and cataloging librarians, and relevant specialists in the U.S. and Canada. This group’s focus is to support the community in developing best practices and outline potential next steps for how metadata standards could contribute to platform-neutral discovery of OER. Members of the OER Discovery Work Group consist of stakeholders from eCampus Ontario, Institute for the Study of Knowledge Management in Education’s (ISKME) OER Commons, State University of New York (SUNY) at Geneseo’s Openly Available Sources Integrated Search (OASIS), and Mt Hood Community College Library’s (MHCC) OER MARC template. They created a document that translates core functionality across 3 commonly used metadata vocabularies - MARC21, Dublin Core, and Schema.org/LRMI - to meet the specific needs for OER. This presentation will share the OER Metadata Rosetta Stone (CC-BY), highlight the collaborative process, and welcome discussion with attendees to inform future applications and collaborative developments for the community as a whole