538 research outputs found

    A Cultural Resources Survey for Medina Electric Cooperative, Inc., in Uvalde, Medina, and Frio Counties, Texas

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    The Center for Archaeological Research (CAR), The University of Texas at San Antonio (UTSA), under contract with Alexander Utility Engineering, Inc., (letter dated May 5, 1980), conducted an archaeological survey for the Medina Electric Cooperative, Inc. Although the CAR was contracted in May 1980, at the request of Medina Electric Cooperative, Inc., the actual survey was not carried out until February 25-March 1, 1981. The survey, which was conducted in three neighboring south Texas counties (Fig. 1), was concentrated along proposed electrical distribution lines at D1Hanis in Medina County, north of Uvalde in Uvalde County, and southwest of Pearsall in Frio County. General supervision of the project was provided by Dr. Thomas R. Hester, Director, and Jack D. Eaton, Associate Director, of the CAR-UTSA. The project was carried out by Augustine and Elizabeth Frkuska, Center staff archaeologists

    Distributed MST Computation in the Sleeping Model: Awake-Optimal Algorithms and Lower Bounds

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    We study the distributed minimum spanning tree (MST) problem, a fundamental problem in distributed computing. It is well-known that distributed MST can be solved in O~(D+n)\tilde{O}(D+\sqrt{n}) rounds in the standard CONGEST model (where nn is the network size and DD is the network diameter) and this is essentially the best possible round complexity (up to logarithmic factors). However, in resource-constrained networks such as ad hoc wireless and sensor networks, nodes spending so much time can lead to significant spending of resources such as energy. Motivated by the above consideration, we study distributed algorithms for MST under the \emph{sleeping model} [Chatterjee et al., PODC 2020], a model for design and analysis of resource-efficient distributed algorithms. In the sleeping model, a node can be in one of two modes in any round -- \emph{sleeping} or \emph{awake} (unlike the traditional model where nodes are always awake). Only the rounds in which a node is \emph{awake} are counted, while \emph{sleeping} rounds are ignored. A node spends resources only in the awake rounds and hence the main goal is to minimize the \emph{awake complexity} of a distributed algorithm, the worst-case number of rounds any node is awake. We present deterministic and randomized distributed MST algorithms that have an \emph{optimal} awake complexity of O(logn)O(\log n) time with a matching lower bound. We also show that our randomized awake-optimal algorithm has essentially the best possible round complexity by presenting a lower bound of Ω~(n)\tilde{\Omega}(n) on the product of the awake and round complexity of any distributed algorithm (including randomized) that outputs an MST, where Ω~\tilde{\Omega} hides a 1/(polylog n)1/(\text{polylog } n) factor.Comment: 28 pages, 1 table, 5 figures, abstract modified to fit arXiv constraint

    Archaeological Investigations at the San Pedro Aceqnia San Antonio, Texas

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    The irrigation system in San Antonio was an integral part of its early history. Within the San Antonio area irrigation was a necessity to extend the planting season. An extended planting season would allow for diversified crops with different harvesting periods. The first municipal irrigation system was the San Pedro Acequia. It was constructed to serve the town with fresh water for household use and agricultural purposes. As the population increased and technology improved, the acequias changed in both appearance and function. In time, the San Pedro Acequia system became part of San Antonio\u27s forgotten past. Recently, excavations on the Government Service Administration (GSA) property in downtown San Antonio unearthed portions of the San Pedro Acequia. Investigations revealed the Acequia underwent three construction phases within the (GSA) property. Results of the archaeological investigations and literature research gives a vivid picture of the history of the San Pedro Acequia

    Social and Demographic Factors Influencing Job Mobility Aspirations in an Industrializing Rural Community.

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    The rapid industrialization of nonmetropolitan areas and small towns has been a relatively recent phenomenon. The economic impact of such development has been well documented. However, not much is known about the social effects of industrial development in rural communities--particularly as related to attitudes of the indigenous population. The objective of this study was to determine the association between several independent variables (type of employment, age, sex, race, education, and income) and job mobility aspirations of adult employees in industry and others in the surrounding area. Job mobility aspirations in this study were defined by a scale comprised of eight items, which attempted to measure the respondent\u27s attitude toward occupational mobility. It was expected that industrial development would produce social change in the area which would influence the relationship between sociodemographic characteristics and job mobility aspirations of employees in the area. It was hypothesized that job mobility aspirations would be significantly influenced by the sociodemographic variables used. A sample of 152 randomly selected employees of a wire and box plant and 147 nonplant employees in the surrounding area was utilized in this study of industrial development in Jena, a rural community in LaSalle parish located in east-central Louisiana. Analysis of the basic model for the study indicated that none of the independent variables significantly influenced job mobility aspirations. A modified model revealed that only age (for plant workers) and income (for nonplant workers) significantly influenced job mobility aspirations. The results of this study suggested that the community of study was rather homogeneous in terms of occupational attitudes. Female employees may have been the major beneficiaries of industrial development, and their job mobility aspirations may have become more similar to that of male employees. It is also possible that the duration of industrial development was not long enough to produce significant social differences in the rural population of the area

    Integrative Learning and Interdisciplinary Information Systems Curriculum Development in Accounting Analytics

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    This paper develops the structure for an integrative model information systems curriculum on Accounting Analytics, which affords students the opportunities to develop domain knowledge along with application of data analytics. As industry experiences rapid technological change, university curricula must remain current in order to be effective. Curriculum content is further advanced and established with input from industry organizations that employ graduates of the programs. The paper output includes a curriculum review of top accounting programs, course curriculum map, accounting data skills matrix, and professional opportunities. The curriculum review utilizes an empirical text analytics methodological approach to extract patterns and develop additional insights for the advancement of accounting information systems research. To minimize curricular disruption, existing courses can be utilized as core curriculum, enhancing key courses to complete undergraduate, graduate, or certificate programs. The Accounting Analytics customized curriculum provides students an opportunity to take advantage of the growing interdisciplinary field and student interest among accounting and analytical career paths. The integrative curriculum is developed to better prepare graduates with the critical knowledge, skills, and abilities to excel in this new-age workforce

    An Initial Archaeological Assessment of John James Park, City of San Antonio, Texas

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    In January, 1977, the City of San Antonio Department of Parks and Recreation (Ronald L. Darner, Director) and the Center for Archaeological Research, The University of Texas at San Antonio (Thomas R. Hester, Director), entered into a contract for the archaeological assessment of John James Park. The park property (Fig. 1), is located just north of Fort Sam Houston, and the eastern boundary fronts on Salado Creek, a major tributary of the San Antonio River. The field survey was carried out under the general supervision of Dr. Thomas R. Hester and Mr. Jack D. Eaton, with the field crew consisting of Elizabeth Cantu Frkuska, Augustine J. Frkuska and Fred Valdez, Jr. The goal of this initial survey was to provide an assessment of archaeological or historical resources that might be present within the confines of the park, and, if such resources were found, to record and evaluate them
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