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The purpose of this qualitative study was to examine the perceptions of school staff as to the best practices utilized in successful middle schools. The researcher used the framework of This We Believe and the School To Watch application process to determine schools worthy of the study. Each school must have been designated three times or more as a School To Watch. Three schools were selected for the study that were each in three different school divisions and three different geographical regions in Virginia. The researcher went to each site to conduct interviews with participants. Fifteen interviews via focus groups were conducted with twenty-one participants. Interviews were recorded, transcribed, and coded. The researcher analyzed interview data and determined there were three emerging concepts critical to the success of middle schools. Concepts that emerged from participants were: each school was developmentally responsive to the social and emotional needs of young adolescents, each school’s staff employed strong organizational leadership and structures to coordinate the school, and each school’s staff was purposeful in their creation of each school’s master schedule that allowed for purposeful planning. Practitioners may find the results of the study useful as many of the practices could be employed in other middle schools.

The current study examined the relationship of parental support, parental psychological control, and best friend support among Latino adolescents and loneliness using self-esteem as a mediating variable. The sample included 839 Hispanic (primarily Mexican) 9th – 12th graders from west Texas area school districts who were given a self-reported survey to assess parental behaviors and adolescent depression. Using structural equation modeling (SEM), findings indicated that neither maternal nor paternal support was found to be significantly related to loneliness in girls. Only maternal support was found to be significantly related to loneliness in boys. On the other hand, neither maternal nor paternal support was found to be significantly related to self-esteem in boys, while maternal support was found to be significantly related to self-esteem for girls. Results also indicate an interesting cross-gender relationship for loneliness with maternal psychological control significantly related to loneliness for boys but not for girls, and paternal psychological control significantly related to loneliness in girls but not for boys. Best-friend (peer support) was found to be significantly related to loneliness for girls but not for boys. Results indicate that maternal psychological control was significantly related to self-esteem for boys and girls. Results also indicate that paternal psychological control was significantly related to self-esteem for boys and girls. Results also indicate that family structure was found to be significant for girls and its relationship with loneliness. Results are discussed along with implications for therapists working with Latino populations.

There has been an increase in adoption of building information modeling (BIM) by commercial contractors over the past few years but there is not a clear indication of current application or the frequency of each use. This research was undertaken to determine the frequency and best practices of using BIM in commercial construction. Leading commercial contracting firms were contacted and employees were selected to complete a telephone survey that was designed to determine how they are using BIM. It was found that BIM is being used with more frequency on projects, with plans to continue to implement it even further on all projects that allow for its use. Most companies are incorporating trade contractors in their coordination meetings but are taking the lead to ensure a high standard is maintained. Trade contractors are given responsibility to resolve smaller clashes while bringing the larger problems to the clash detection meetings. The model quality being received is increasing as well the frequency of models being received from the design team; however, there is a lack of consensus as to the level of development requirement to ensure the model can be used for facilities management. Commercial contractors are adopting building information modeling for a variety of reasons. These include client requirements, innovative technology strategies, and fear of being left behind. Overall its use improves processes within their companies. The general agreement is that BIM is having a positive impact on profitability, schedules and sales. BIM further improves the efficiency, effectiveness and competitiveness. The best practices undertaken by commercial contractors include using BIM as a sales and marketing tool, utilizing subcontractors knowledge and allowing them to resolve minor clashes, having combination of BIM teams and BIM experts and investing in training employees and further development of BIM uses.

Stream ecosystems are increasingly at risk for thermal impairment as urbanization intensifies, resulting in more heated runoff from impervious cover that is less likely to be cooled naturally. While several best management practices, including bioretention filters, have been able to reduce thermal pollution, success has been limited. The extent of thermal mitigation required to prevent ecological damage is unknown. A calibrated runoff temperature model of a case study watershed in Blacksburg, VA was developed to determine the cumulative treatment volume of bioretention filters required to reduce thermal impacts caused by runoff from development in the watershed to biologically acceptable levels. A future build out scenario of the study watershed was also analyzed. Results from this study established that runoff thermal pollution cannot be fully reduced to goal thresholds during all storms using bioretention filter retrofits. While retrofitting significantly decreased temperatures and heat exports relative to the controls, increasing treatment volumes did not really enhance mitigation. Alternate thermal mitigation methods which actively remove runoff volume should be considered where more thermal mitigation is required. / Master of Science / Stream temperature is a significant ecological, biological, and chemical property affecting the long-term health of streams. However, as development intensifies, stream ecosystems are increasingly at risk of being damaged by thermal pollution, which causes warmer and less stable temperatures that distress aquatic organisms. While several stormwater management methods that reduce runoff-related pollution, known as best management practices (BMPs), were found to also decrease thermal pollution, their success has been limited. Furthermore, the extent of thermal mitigation required to prevent ecological damage is unclear. This study aimed to determine how much treatment by a popular BMP, the bioretention filter, was necessary across a watershed in Blacksburg, VA to adequately reduce thermal pollution to protect stream health. Mitigation impacts were tested on both existing and predicted future development conditions through model simulations. Results from this study established that thermal pollution from runoff cannot be fully reduced to goal thresholds consistently using bioretention filter retrofits. While retrofitting significantly decreased thermal pollution, increasing treatment volume did not considerably enhance mitigation. Results suggested that bioretention filters are not an effective method, and alternate thermal mitigation practices which actively remove runoff volume should instead be considered where intensive reductions in thermal pollution are necessary.

No description available.

No description available.

Excessive nutrient concentrations from a different point and non-point sources are the main cause of water impairment in the United States. Appropriate management practices, according to the source and quantity of pollutions, need to be implemented to control excessive nutrient influx in the water body. Various types of hydrological and water quality models with diverse function, capability and degree of complexity are employed to quantify watershed hydrologic processes and nutrient pollution. Multiple models can be applied to a watershed but the suitable model must be selected based on watershed type and simulation need. Two watershed-scale models, Soil and Water Assessment Tool (SWAT) and Hydrologic Simulation Program-Fortran (HSPF) were chosen for this study to simulate runoff, sediment yield, and nutrient load from the Big Sunflower River Watershed (BSRW) of Mississippi. The objectives of this study are to access the nutrient sources within the watershed, determine the appropriate model to quantify them, develop and evaluate model considering spatial and temporal variations in input data, and evaluate the effectiveness of different Best Management Practices (BMPs) on surface runoff, sediment yield and nutrient load at watershed scale. This study has identified a potential source of nutrients in BSRW and provided a suitable BMP for its management. Similarly, the study found both SWAT and HSPF were efficient in the simulation of streamflow, sediment yield and nutrient load, where SWAT was more efficient during simulation streamflow and sediment yield. Likewise, the study established that both water-quantity and water-quality are sensitive to the change in LULC data layers and thus, seasonal LULC data applied to SWAT will better explain variation in hydrology and water quality as compared to the annual cropland data layer. Moreover, the study showed that well managed vegetative filter strip was very efficient in reducing sediment yield, TN, and TP at both field and watershed scale among different BMPs evaluated at field and watershed scale. This study will be beneficial in developing efficient nutrient management strategy at field and watershed scale, selecting appropriate model and input according to the need and type of watershed, and providing further research opportunities to the scientific community.

Innovate or die" is one of the mantras of today’s economy. In order to survive, companies are forced to innovate. It is extremely essential to develop innovative ability to constantly cope with rapid changes in different industries such as Telecom, IT and Media. The research aim is to design an innovation framework which helps to assess the innovativeness of a department and thereafter, derive management implications for improving the innovativeness. A single descriptive case study of a high-tech department has been chosen. The triangular research design consisted of literature study, qualitative interviews and online surveys. In the first step, various factors that influence the innovativeness of departments are identified. Consequently, key learnings from other departments within the same corporation will be discussed. The results of survey, propositions and interviews will be compared to identify parameters of the innovation framework. The framework helps to structure valuable insights that link to management implications. The novelty of this paper can be claimed since it is the first research which combines assessing innovativeness via triangulation method and deriving management implication from the results in the field of innovation research. The outcome is an innovation framework with 17 different dimensions that have an influence on innovativeness at the department level. The study demonstrates a deep understanding of the current innovativeness of the investigated department and draws most relevant managerial implications based on other departments’ best practice.

The aim of this study is to identify the best practices in traditional and electronic banking operations strategy in Jordan as a case study of developing economies over the period 1999 to 2008. During this period numerous changes faced banks in Jordan: new banking law was launched, the banks were directed towards complying with the Basel Accord II, and the banks adopted more e-banking channels. Only the practices of all local banks were investigated due to their superior performance. A number of questionnaires were used to collect the data from different individuals in these banks. Further, annual reports were analysed and websites were reviewed. Two data-analysis approaches were used to identify the key strategies of traditional and electronic banking in Jordan: competitive position analysis and cluster analysis. Analysis revealed eight best practices of traditional banking and four best practices of electronic banking were adopted. Best practices are presented as prediction models. These models combine actions with capabilities and performance. The traditional banking predication models are: branches urban accessibility, branches sites accessibility (percentage of sites covered), branches sites accessibility (number of branches sites covered), account transaction time, new credit product flexibility, account customer waiting time, account transaction cost, loan approval costs, and branches layout quality. The e-banking prediction models are: Internet banking transaction time, telephone banking volume flexibility, ATM suburban accessibility, and ATM sites accessibility. This research revealed that; financial performance achieved by e-banking strategy patterns is significantly lower than traditional banking. Also customers satisfaction, retention, and deposit market of e-banking are significantly lower than traditional banking, which indicates that the best operational practices in Jordan are still more traditional oriented despite the significant direction of banks in Jordan toward adopting e-banking channel.