Evaluating the Stormwater Treatment Performance of AbTech Industries Smart Sponge® Plus, Landry, N

The ability of AbTech’s Smart Sponge® Plus to remove fecal-borne bacteria from stormwater was evaluated in a storm drainage system located in Seabrook, New Hampshire. The Smart Sponge ® Plus was installed into a water quality inlet and samples were collected from influent (pre-treatment) and effluent (post-treatment) for analysis of bacterial concentrations and loadings during 15 storm events from September 3, 2003 to May 24, 2004, excluding winter months. The 15 storms included events with a range of rainfall intensities and amounts, as well as accompanying runoff volumes. Flow weighted composite samples were analyzed for fecal coliforms, Escherichia coli and enterococci to determine if concentrations were lowered as stormwater passed through the Smart Sponge® Plus material. In most cases, bacterial concentrations were reduced within the treatment system, but to varying degrees. The efficiency ratio based on reduction in event mean concentration for each bacterial indicator in the flow was calculated for each storm event. The values ranged most widely for fecal coliforms, whereas the range of ratios was narrower and the values were more consistent for enterococci. The overall load reductions for the bacterial indicators were 50.3% for fecal coliforms, 51.3% for Escherichia coli and 43.2% for enterococci. Relatively consistent pH values were observed in influent and effluent samples. The overall range of pH values was large, ranging from 5.21 units in influent from storm event #11 to 7.64 units in influent from storm event #1. Conductivity values were gr eater in the effluent in 14 of the 15 storm events, especially in storm events #12 and #13 when effluent conductivities were \u3e50% higher than influent values. Quality assurance/quality control procedures supported the methods and results of the study. Overall, the observed reductions in bacterial concentrations in post-treatment stormwater would still result in discharge of elevated bacterial levels that would continue to limit uses in receiving waters

A Guide to White Clover

An introduction to growing white clover on organic farms in Irelan

Historical Grassland Turboveg Database Project. 2067 Relevés recorded by Dr Austin O’ Sullivan 1962 – 1982

User Guide and CD of Database are availableEnd of project reportThe more common grassland types occupy about 70% of the Irish landscape (O’Sullivan, 1982), but information on these vegetation types is rare. Generally, Irish grasslands are distinguished based on the intensity of their management (improved or semi-natural grasslands), and the drainage conditions and acidity of the soil (dry or wet, calcareous or acidic grassland types) (Fossitt, 2000). However, little is known about their floristic composition and the changes in floristic composition over time. The current knowledge on grassland vegetation is mostly based on a survey of Irish grasslands by Dr. Austin O’Sullivan completed in the 1960’s and 1970’s (O’Sullivan, 1982). In this survey O’Sullivan identified Irish grassland types in accordance with the classification of continental European grasslands based on the principles of the School of Phytosociology. O’Sullivan distinguished five main grassland types introducing agricultural criteria as well as floristic criteria into grassland classification (O’Sullivan, 1982). In 1978, O’Sullivan made an attempt at mapping Ireland’s vegetation types including the five grassland types distinguished in his later publication as well as two types of peatland vegetation (Figures 1 and 2). This map was completed using 1960’s soils maps (National Soil Survey, Teagasc, Johnstown Castle) and a subsample of the dataset on the composition of Irish grasslands. Phytosociological classification of vegetation is based on the full floristic composition of the vegetation as determined by assessing the abundance and spatial structure of the plant species in a given area. The actual area of the survey (or relevé) is determined according to strict criteria, which include how representative the sample area is for the wider vegetation (i.e. how many of the species found in the wider area are also present in the survey area).National Parks and Wildlife Service of the Department of the Environment, Heritage and Local Government, Dublin, Ireland

Winter grazing forage crops - An introduction

Winter grazing forage crops are being successfully grown on organic farms throughout Ireland, from Cork to Donegal. In this article we will discuss the overall role, establishment and management of forage crops in organic livestock production

Activation of Water on MnOx-Nanocluster-Modified Rutile (110) and Anatase (101) TiO2 and the Role of Cation Reduction

<p>Surface modification of titania surfaces with dispersed metal oxide nanoclusters has the potential to enhance photocatalytic activity. These modifications can induce visible light absorption and suppress charge carrier recombination which are vital in improving the efficiency. We have studied heterostructures of Mn₄O₆ nanoclusters modifying the TiO₂ rutile (110) and anatase (101) surfaces using density functional theory (DFT) corrected for on-site Coulomb interactions (DFT + U). Such studies typically focus on the pristine surface, free of the point defects and surface hydroxyls present in real surfaces. In our study we have considered partial hydroxylation of the rutile and anatase surfaces and the role of cation reduction, via oxygen vacancy formation, and how this impacts on a variety of properties governing the photocatalytic performance such as nanocluster adsorption, light absorption, charge separation, and reducibility. Our results indicate that the modifiers adsorb strongly at the surface and that modification extends light absorption into the visible range. MnO_x-modified titania can show an off-stoichiometric ground state, through oxygen vacancy formation and cation reduction spontaneously, and both modified rutile and anatase are highly reducible with moderate energy costs. Manganese ions are therefore present in a mixture of oxidation states. Photoexcited electrons and holes localize at cluster metal and oxygen sites, respectively. The interaction of water at the modified surfaces depends on the stoichiometry and spontaneous dissociation to surface bound hydroxyls is favored in the presence of oxygen vacancies and reduced metal cations. Comparisons with bare TiO₂ and other TiO₂-based photocatalyst materials are presented throughout.</p

Higher Education Product Baskets: Degree Offering Distributions and the Financial Strength of Colleges and Universities

This paper evaluates the relationship between the distributions of degrees offered by a college and the financial strength of that institution. While no causal relationship is established, the findings generally show that the more spe-cialized an institution is, the more net wealth it is likely to hold. Additional evidence points to how this effect differs de-pending on the degrees themselves: High concentrations of STEM fields, for example, tend to benefit the home college's financial position.This research highlights the importance of the considerations by which university systems balance the types of insti-tutions in their network. It adds to the small but growing research into higher education finance. Finally, it advocates for an understanding of public institutions as policy platforms. By paying attention to the implementers of public poli-cies, those policies might have more sustainable impacts

RT-qPCR Testing of SARS-CoV-2: A Primer

Testing for the presence of coronavirus is an essential diagnostic tool for monitoring and managing the current COVID-19 pandemic. The only reliable test in current use for testing acute infection targets the genome of SARS-CoV-2, and the most widely used method is quantitative fluorescence-based reverse transcription polymerase chain reaction (RT-qPCR). Despite its ubiquity, there is a significant amount of uncertainty about how this test works, potential throughput and reliability. This has resulted in widespread misrepresentation of the problems faced using this test during the current COVID-19 epidemic. This primer provides simple, straightforward and impartial information about RT-qPCR

Condom Use among Young African American Men: Implications for Planning Interventions

Condom Use among Young African American Men: Implications for Planning Interventions Sexually transmitted diseases, including HIV, continue to present significant public health problems affecting young people in the United States, especially African Americans. While African Americans make up about 12% of the U.S. population, in 2010 they accounted for 44% of new HIV infections in 2010 and 48% of all persons living with AIDS in 2007. The 2010 data shows that of these new cases, 38% occurred among African American males ages 13-24 years old. Correct condom use remains a challenge in this population and efforts to increase condom use among minority males has been a formidable challenge. This paper reports the results of formative research conducted in order to guide the development of an intervention to increase consistent, effective condom use for young African American males. Methods: A snowball sampling approach was used to recruit participants. African American males, ages 18-24, who self-reported as sexually active were eligible to participate in one of four focus groups or one of six individual interviews. All study events were conducted at community locations. Each event was audiotaped and notes were taken. Analysis was performed using using NVivo-9. The coding strategy included emic and etic codes and a coding tree was developed which was used to identify themes. Results: A total of 36 African American males between the ages of 18-24 (mean 20.7 years) took part. In general, participants felt condom use was highly influenced by contextual factors including partner interest, partner communication, length of relationship and trust. Condom use was also influenced by a sense of invincibility and being caught up in the moment. Notably, most sexual activity occurred outside of a relationship, most often within the party scene or as quickly arranged hook-ups. Analysis: In order to ensure maximum impact on the development of the intervention, the results from this formative phase were viewed through the Transtheoretical Model of Behavior Change (TTM) and most participants would be described as being in the pre-contemplation or contemplation stages of behavioral change. While all participants expressed some understanding of the risks of unprotected sex, many did not connect risks to consequences. While the data did not indicate that condom use behavior was likely to change in the short-term (less than 6 months), several participants were contemplating making a change. Discussion: The snowball sampling approach allowed us to understand the participants’ social network and allowed us to consider social influences as well as about individual attitudes and beliefs. In the TTM frame, interventions designed for this population need to include contemplators and pre-contemplators and should focus on modification of cognition, affect and behaviors. Our research also shows that several of the underlying assumptions of TTM are at odds with the framework within which sex often occurs for this population and condom use decisions are highly influenced by the social context. In light of the results, the intervention placed condom use into a health promotion context. It combines group activities and one-on-one interaction. Group activities can impact shared values and beliefs and, thus, the intervention builds social support for behavior changes while addressing individual capacity

The Elusive Metrics - Are We Telling the Full Story in Educational Data Mining?

The use of Education Data Mining (EDM) has seen a significant increase in recent years. A recent report identified notable concerns with the literature relating to the lack of metrics presented in EDM research (in particular, predicting student performance). This poster presents details on these concerns that may inhibit future re-validation studies or worse, models that initially report strong findings which may not generalise. This poster also declares a call to action for future studies to present such metrics, and finally describes ongoing work in this space (a systematic literature review