Brownsville, Texas, Fort Brown & Matamoros, Mexico - Original souvenir albums of all American & Canadian cities & sceneries

General view of Brownsville -- Elizabeth st. south end -- Twelfth st. looking east -- Mexican jacales -- Steamboat landing, Rio Grande River -- Rio Grande Railroad depot and repair shots -- Grammar school building -- Brothers college -- Convent school -- Corner of Market Square -- Episcopal church and rectory -- Presbyterian church -- Catholic cathedral -- City market and plaza -- Convent -- General view of Fort Brown -- Summer uniform -- Headquarters -- Cathedral and Custom house -- United States Consulate -- Headquarters of 4th Military Zone -- A corner of the plaza -- Street scene: Abasolo & 7th sts. -- Opera house -- Old Spanish church -- City market -- Ferries over Rio Grande and Custom offices -- County court house -- Water carts -- H. E. Woodhouse home, Thomas Carson home -- S. W. Brooks home -- Emilio C. Forto home -- William Kelly home -- View west from court house -- Antonio Yznaga residence -- Residence of Robert Dalzell -- View from north court house.https://scholarworks.utrgv.edu/lrgv/1001/thumbnail.jp

Analysing Magnetism Using Scanning SQUID Microscopy

Scanning superconducting quantum interference device microscopy (SSM) is a scanning probe technique that images local magnetic flux, which allows for mapping of magnetic fields with high field and spatial accuracy. Many studies involving SSM have been published in the last decades, using SSM to make qualitative statements about magnetism. However, quantitative analysis using SSM has received less attention. In this work, we discuss several aspects of interpreting SSM images and methods to improve quantitative analysis. First, we analyse the spatial resolution and how it depends on several factors. Second, we discuss the analysis of SSM scans and the information obtained from the SSM data. Using simulations, we show how signals evolve as a function of changing scan height, SQUID loop size, magnetization strength and orientation. We also investigated 2-dimensional autocorrelation analysis to extract information about the size, shape and symmetry of magnetic features. Finally, we provide an outlook on possible future applications and improvements.Comment: 16 pages, 10 figure

Modeling the effect of plume-rise on the transport of carbon monoxide over Africa and its exports with NCAR CAM

International audienceWe investigated the effects of fire-induced plume-rise on the predicted export of carbon monoxide (CO) over Africa during SAFARI 2000 using the NCAR Community Atmosphere Model (CAM) with a CO tracer and plume-rise parameterization scheme. The plume-rise parameterization scheme simulates the consequences of strong buoyancy of hot gases emitted from biomass burning, including both dry and cloud-associated (pyrocumulus) lofting. The scheme was first adapted from a regional model. The current implementation of the plume-rise parameterization scheme into the global model provides an opportunity to examine the effect of plume-rise on long-range transport. The CAM simulation with the plume-rise parameterization scheme shows a substantial improvement of the agreements between the modeled and aircraft-measured vertical distribution of CO over southern Africa biomass burning area. The plume-rise mechanism plays a crucial role in lofting biomass burning pollutants to the middle troposphere. In the presence of deep convection we found that the plume-rise mechanism results in a decrease of CO concentration in the upper troposphere. The plume rise depletes the boundary layer, and thus leaves lower concentrations of CO to be lofted by the deep convection process. The effect of the plume-rise on free troposphere CO concentration is more important for the source area (short-distance transport) than for remote areas (long-distance transport). The plume-rise scheme also increases the CO export fluxes from Africa to the Atlantic and Indian Oceans. These results further confirm and extend previous findings in a regional model study. Effective lofting of large concentration of CO by the plume-rise mechanism also has implication for local air quality forecast in areas affected by other fire-related pollutants

Data mining: a tool for detecting cyclical disturbances in supply networks.

Disturbances in supply chains may be either exogenous or endogenous. The ability automatically to detect, diagnose, and distinguish between the causes of disturbances is of prime importance to decision makers in order to avoid uncertainty. The spectral principal component analysis (SPCA) technique has been utilized to distinguish between real and rogue disturbances in a steel supply network. The data set used was collected from four different business units in the network and consists of 43 variables; each is described by 72 data points. The present paper will utilize the same data set to test an alternative approach to SPCA in detecting the disturbances. The new approach employs statistical data pre-processing, clustering, and classification learning techniques to analyse the supply network data. In particular, the incremental k-means clustering and the RULES-6 classification rule-learning algorithms, developed by the present authors’ team, have been applied to identify important patterns in the data set. Results show that the proposed approach has the capability automatically to detect and characterize network-wide cyclical disturbances and generate hypotheses about their root cause

Long-Term Stability of an Area-Reversible Atom-Interferometer Sagnac Gyroscope

We report on a study of the long-term stability and absolute accuracy of an atom interferometer gyroscope. This study included the implementation of an electro-optical technique to reverse the vector area of the interferometer for reduced systematics and a careful study of systematic phase shifts. Our data strongly suggests that drifts less than 96 $\mu$deg/hr are possible after empirically removing shifts due to measured changes in temperature, laser intensity, and several other experimental parameters.Comment: 4 pages, 4 figures, submitted to PR

Automated analysis and benchmarking of GCMC simulation programs in application to gas adsorption.

<p>In this work we set out to evaluate the computational performance of several popular Monte Carlo simulation programs, namely Cassandra, DL Monte, Music, Raspa and Towhee, in modelling gas adsorption in crystalline materials. We focus on the reference case of adsorption in IRMOF-1 at 208 K. To critically assess their performance, we first establish some criteria which allow us to make this assessment on a consistent basis. Specifically, the total computational time required for a program to complete a simulation of an adsorption point, consists of the time required for equilibration plus time required to generate a specific number of uncorrelated samples of the property of interest. Our analysis shows that across different programs there is a wide difference in the statistical value of a single MC step, however their computational performance is quite comparable. We further explore the use of energy grids and energy bias techniques, as well as the efficiency of the parallel execution of the simulations. The test cases developed are made openly available as a resource for the community, and can be used for validation and as a template for further studies.</p

Ornamental plants, 1979: a summary of research

An analysis of production costs for containerized nursery products / David E. Hahn, Jerry L. Robertson, and Elton M. Smith -- Monoterpene investigations with creeping juniper cultivars (Juniperus horizontalis Moench.) / Thomas A. Fretz -- Woody flora in Hokkaido adaptable to the north central United States / Makoto Kawase -- An evaluation of microfoam on plant quality following overwintering of container-grown woody ornamentals / Christopher F. Rizzo, Elton M. Smith, and Thomas A. Fretz -- Evaluation of winter barrels as a heat source in woody ornamental winter storage structures / Christopher F. Rizzo, Elton M. Smith, and Thomas A. Fretz_ -- Effective utilization of applied fertilizer in relation to multiple flushes of growth on 'Helleri' holly / C. H. Gilliam and R. D. Wright -- Tissue nitrogen changes during a growth flush on 'Helleri' holly / C. H. Gilliam and R. D. Wright -- Controlling winter annual and perennial weeds in field-grown Cotoneaster divaricata / Elton M. Smith and Sharon A. Treaster -- Evaluation of oxadiazon for weed control in container-grown nursery stock / Thomas A. Fretz and Wendy J. Sheppard -- A 10-year evaluation of flowering crabapple susceptibility to apple scab in Ohio / Elton M. Smith -- Fungicides for the control of diseases of ornamental plants: results of 1977 trials / C. C. Powell and James A. Chatfield -- An evaluation of fungicides on container-grown woody ornamentals during winter storage under microfoam / Christopher F. Rizzo, Elton M. Smith, and Thomas A. Fretz -- Resistance of maple cultivars and species to verticillium wilt: a preliminary report / H. A. J. Hoitink, T. D. Sydnor, and C. L. Wilso

Sensing endogenous seasonality in the case of a coffee supply chain

Rogue seasonality, or endogenously generated cyclicality (in variables), is common in supply chains and known to adversely affect performance. This paper explores a technique for sensing rogue seasonality at a supply chain echelon level. A signature and index based on cluster profiles of variables, which are meant to sense echelon-level generation and intensity of rogue seasonality, respectively, are proposed. Their validity is then established on echelons of a downstream coffee supply chain for five stock keeping units (SKUs) with contrasting rogue seasonality generation behaviour. The appropriateness of spectra as the domain for representing variables, data for which is daily sampled, is highlighted. Time-batching cycles which could corrupt the sensing are observed in variables, and the need to therefore filter them out in advance is also highlighted. The knowledge gained about the echelon location, intensity and time of generation of rogue seasonality could enable timely deployment of specific mitigation actions