Resilience and protective factors in a Midwestern community : a participatory action approach

Resilience is a systemic process between a person and his/her environment (Ungar, 2005), whereby a person demonstrates a pattern of “good outcome despite serious threats to adaptation or development” (Masten, 2001, p. 28). Despite much research, the resilience research field lacks consensus on specific definitions of resilience factors (Ungar et al., 2005). Therefore, it is recommended that research prioritize specific resilience variables (Luthar & Zelazo, 2003) while attending to contextual and systemic factors (Ungar, 2005). The study took place in a community center in a low SES, predominantly African-American neighborhood in the Midwest. Neighborhood residents worked with research team members to co-construct a local definition of youth resilience through focus groups. Children meeting this definition were nominated by staff and participated in interviews about resilience factors. Children, parents, and staff also completed rating scales measuring resilient youth’s academic, behavioral, social, and emotional functioning. Qualitative examinations of data resulted in an ecosystemic model of resilient youth in the community. Resilience was found to be influenced by interactions between individual, familial, and community factors. Individual perseverance and adult involvement and awareness, as well as community cohesion were important protective factors identified by participants. Results of the study were shared with community center staff with plans to utilize them at the center to help promote positive youth functioning.Department of Counseling Psychology and Guidance ServicesThesis (Ph. D.

Nitrogen, Phosphorus, and Suspended Solids Concentrations in Tributaries to the Great Bay Estuary Watershed in 2014

Nitrogen, phosphorus, and sediment loads to the Great Bay Estuary are a constant concern. The Piscataqua Region Estuaries Partnership (PREP) calculates the nitrogen load from tributaries to the Great Bay Estuary for its State of Our Estuaries reports. Therefore, the purpose of this study was to collect representative data on nitrogen, phosphorus, and suspended sediment concentrations in tributaries to the Great Bay Estuary in 2014. The study design followed the tributary sampling design which was implemented by the New Hampshire Department of Environmental Services between 2001 and 2007 and sustained by the University of New Hampshire from 2008 to the present, so as to provide comparable data to the previous loading estimates. The purpose of this memorandum is to document the results of quality assurance checks on the 2014 water quality data collected by UNH, so that PREP can calculates the nitrogen load from tributaries to the Great Bay Estuary. DES reviewed these data to ensure that they met data quality objectives for PREP and for Section 305b water quality assessment

Gage measures total radiation, including vacuum UV, from ionized high-temperature gases

Transient-heat transfer gage measures the total radiation intensity from vacuum ultraviolet and ionized high temperature gases. The gage includes a sensitive piezoelectric crystal that is completely isolated from any ionized flow and vacuum ultraviolet irradiation

Shellfish Tissue Monitoring in Piscataqua Region Estuaries 2014

Originally conducted by the Gulf of Maine Council on the Marine Environment from 1993 to 2011, the Gulfwatch Program examined trends in the water quality of the Gulf of Maine by monitoring toxic contaminant concentrations in the tissues of shellfish. Starting in 2012 the Piscataqua Region Estuaries Partnership (PREP) continued this program in the Piscataqua Region. Each year, PREP collects blue mussels at three sites: Dover Point, NH (NHDP), Clark Cove on Seavey Island, ME (MECC), and Hampton-Seabrook Harbor (NHHS). The mussel tissue is analyzed to determine the concentrations of toxic contaminantss including heavy metals, chlorinated pesticides, polychlorinated biphenyls (PCBs), and polycyclic aromatic hydrocarbons (PAHs)

Prisoners’ gang-related activity: the importance of bullying and moral disengagement

Gang-related activity can have a significant impact on the effective management of prisons in the UK, yet little is known about the characteristics of the prisoners involved. I it this study, 141 adult male prisoners' gang-related activity was examined in relation to their bullying behaviour and use of moral disengagement. Results showed that prisoners most involved in gang-related activity were likely to have spent a longer total time in the prison system, be perpetrators of bullying and have high levels of moral disengagement. Findings also show that moral disengagement partially mediates the relationship between bullying and gang-related activity Implications for treatment programmes and the prison estate are discussed

Determining decay rates of polar cap plasma using bservations of polar cap patches

Polar cap patches are large scale structures occurring in the high-latitude ionosphere. They are regions of enhanced plasma density of at least twice the background density, and they are often observed in the polar cap region. The primary decay mechanism is via a two-step rearrangement and recombination reaction involving Oxygen and Nitrogen. Small scale structures within polar cap patches can result in scintillation of radio signals such as those used in Global Navigation Satellite Systems (GNSS). As such, quantifying the decay rate of the plasma is of importance if the effects on such communications are to be predicted. Observations were obtained during the Northern Deep Winter experiment, a series of incoherent scatter radar world days that took place in December 2014. Data from multiple incoherent scatter radars at high latitudes will be utilised to observe the same plasma at several locations as it is transported. From these observations, the decay of the plasma will be calculated and compared to the results of laboratory experiments

Crowd-sourced Photographic Content for Urban Recreational Route Planning

Routing services are able to provide travel directions for users of all modes of transport. Most of them are focusing on functional journeys (i.e. journeys linking given origin and destination with minimum cost) while paying less attention to recreational trips, in particular leisure walks in an urban context. These walks are additionally predefined by time or distance and as their purpose is the process of walking itself, the attractiveness of areas that are passed by can be an important factor in route selection. This factor is hard to be formalised and requires a reliable source of information, covering the entire street network. Previous research shows that crowd-sourced data available from photo-sharing services has a potential for being a measure of space attractiveness, thus becoming a base for a routing system that suggests leisure walks, and ongoing PhD research aims to build such system. This paper demonstrates findings on four investigated data sources (Flickr, Panoramio, Picasa and Geograph) in Central London and discusses the requirements to the algorithm that is going to be implemented in the second half of this PhD research. Visual analytics was chosen as a method for understanding and comparing obtained datasets that contain hundreds of thousands records. Interactive software was developed to find a number of problems, as well as to estimate the suitability of the sources in general. It was concluded that Picasa and Geograph have problems making them less suitable for further research while Panoramio and Flickr require filtering to remove photographs that do not contribute to understanding of local attractiveness. Based on this analysis a number of filtering methods were proposed in order to improve the quality of datasets and thus provide a more reliable measure to support urban recreational routing

Increasing United States Investment in Foreign Securities: An Evaluation of SEC Rule 144A

The dimension of a poset $P$ is the minimum number of total orders whose intersection is $P$. We prove that the dimension of every poset whose comparability graph has maximum degree $\Delta$ is at most $\Delta \log ^{1+o(1)} \Delta$. This result improves on a 30-year old bound of Füredi and Kahn and is within a $\log ^{o(1)}\Delta$ factor of optimal. We prove this result via the notion of boxicity. The boxicity of a graph $G$ is the minimum integer $d$ such that $G$ is the intersection graph of $d$-dimensional axis-aligned boxes. We prove that every graph with maximum degree $\Delta$ has boxicity at most $\Delta \log ^{1+o(1)} \Delta$, which is also within a $\log ^{o(1)}\Delta$ factor of optimal. We also show that the maximum boxicity of graphs with Euler genus $g$ is $\Theta (\sqrt {g \log g})$, which solves an open problem of Esperet and Joret and is tight up to a constant factor