Remote Sensing at the Horace Cabe Site (41BW14)

A magnetometer survey was conducted at the Horace Cabe Mound site (41BW14) in 2005 by Walker and Schultz as part of the Bowie County Levee Realignment project in Bowie County, Texas. The purpose of the survey was to attempt to locate anomalies that may represent potential archaeological features at this important Late Caddo mound center near the Red River. The area was surveyed using a Geometrics portable G858 cesium sensor magnetometer and a G-856 proton magnetometer base station. This article puts on record another substantive example of Caddo archaeology as seen through the use of remote sensing technology. The original processing and interpretation of this data presented in Sundermeyer et al. are not simply re-hashed here. Further data processing has revealed several possible Caddo structures on and in the immediate vicinity of Mounds B and C at the Cabe site

A Call for Visionary Leadership

A bright future for Extension depends upon having leaders selected for their visionary thinking and guided by nationally defined standards for excellence. Visionary leadership is essential at all levels of the land-grant university system. Just as important is a vision for Extension\u27s potential, unconstrained by limited experience with Extension or knowledge only of Extension\u27s past accomplishments. The development of a clear vision, along with accepted metrics for excellence, will enable our 76 land-grant institutions to successfully advance into the future as a system

Building thermal performance, extreme heat, and climate change

The leading source of weather-related deaths in the United States is heat, and future projections show that the frequency, duration, and intensity of heat events will increase in the Southwest. Presently, there is a dearth of knowledge about how infrastructure may perform during heat waves or could contribute to social vulnerability. To understand how buildings perform in heat and potentially stress people, indoor air temperature changes when air conditioning is inaccessible are modeled for building archetypes in Los Angeles, California, and Phoenix, Arizona, when air conditioning is inaccessible is estimated. An energy simulation model is used to estimate how quickly indoor air temperature changes when building archetypes are exposed to extreme heat. Building age and geometry (which together determine the building envelope material composition) are found to be the strongest indicators of thermal envelope performance. Older neighborhoods in Los Angeles and Phoenix (often more centrally located in the metropolitan areas) are found to contain the buildings whose interiors warm the fastest, raising particular concern because these regions are also forecast to experience temperature increases. To combat infrastructure vulnerability and provide heat refuge for residents, incentives should be adopted to strategically retrofit buildings where both socially vulnerable populations reside and increasing temperatures are forecast

Towards effective dynamic resource allocation for enterprise applications

The growing use of online services requires substantial supporting infrastructure. The efficient deployment of applications relies on the cost effectiveness of commercial hosting providers who deliver an agreed quality of service as governed by a service level agreement for a fee. The priorities of the commercial hosting provider are to maximise revenue, by delivering agreed service levels, and minimise costs, through high resource utilisation. In order to deliver high service levels and resource utilisation, it may be necessary to reorganise resources during periods of high demand. This reorganisation process may be manual or alternatively controlled by an autonomous process governed by a dynamic resource allocation algorithm. Dynamic resource allocation has been shown to improve service levels and utilisation and hence, profitability. In this thesis several facets of dynamic resource allocation are examined to asses its suitability for the modern data centre. Firstly, three theoretically derived policies are implemented as a middleware for a modern multi-tier Web application and their performance is examined under a range of workloads in a real world test bed. The scalability of state-of-the art resource allocation policies are explored in two dimensions, namely the number of applications and the quantity of servers under control of the resources allocation policy. The results demonstrate that current policies presented in the literature demonstrate poor scalability in one or both of these dimensions. A new policy is proposed which has significantly improved scalability characteristics and the new policy is demonstrated at scale through simulation. The placement of applications in across a datacenter makes them susceptible to failures in shared infrastructure. To address this issue an application placement mechanism is developed to augment any dynamic resource allocation policy. The results of this placement mechanism demonstrate a significant improvement in the worst case when compared to a random allocation mechanism. A model for the reallocation of resources in a dynamic resource allocation system is also devised. The model demonstrates that the assumption of a constant resource reallocation cost is invalid under both physical reallocation and migration of virtualised resources

Antibody-targeted nanoparticles for cancer treatment

Nanoparticles (NPs) are diverse and versatile with physical properties that can be employed for use in cancer medicine. Targeting NPs using antibodies and antibody fragments could overcome some of the limitations seen with current targeted therapies. This review will discuss the role of antibody-targeted NPs in the treatment of cancer: as delivery vehicles, targeted theranostic agents and in the evolving field of cancer hyperthermia

All Through the Love of You!

https://digitalcommons.library.umaine.edu/mmb-vp/3933/thumbnail.jp