A Platform for Proactive, Risk-Based Slope Asset Management, Phase II

INE/AUTC 15.0

Vapor phase growth technique of III-V compounds utilizing a preheating step

In the vapor phase epitaxy fabrication of semiconductor devices and in particular semiconductor lasers, the deposition body on which a particular layer of the laser is to be grown is preheated to a temperature about 40.degree. to 60.degree. C. lower than the temperature at which deposition occurs. It has been discovered that by preheating at this lower temperature there is reduced thermal decomposition at the deposition surface, especially for semiconductor materials such as indium gallium phosphide and gallium arsenide phosphide. A reduction in thermal decomposition reduces imperfections in the deposition body in the vicinity of the deposition surface, thereby providing a device with higher efficiency and longer lifetime

A Finite Element Analysis of the Utah Thistle Failure

In the Spring of 1983, a large landslide occurred near the town of Thistle, Utah which blocked major transportation routes and impounded the Spanish Fork River, inundating the town with 200 feet of water. While much attention has been given to the slide and its impact, very little has been directed toward a quantitative understanding of its causes. An analysis was performed of the Thistle landslide using the SEEPSLOPE finite element system in order to evaluate the mechanisms, factors, and causes of the failure. An elastic, perfectly-plastic stress-strain curve was employed in the analysis to model the behavior of the overconsolidated clay soils. It is concluded that the landslide was a compound, progressive failure which initiated at the toe and progressed uphill. Seepage forces played a significant role in the failure

Reducing heavy drinking in college males with the decisional balance: Analyzing an element of Motivational Interviewing

The decisional balance, a brief detailing of the advantages and disadvantages of behavior change, serves as a key component to interventions in Motivational Interviewing. The impact of this component alone is not well understood. Forty-seven men completed a Timeline Followback interview assessing alcohol consumption and unsafe sexual practices. They then completed a decisional balance, listing the Pros and Cons of decreasing their drinking, but not one for safer sex. One-month follow-up data showed that they had statistically significant and clinically meaningful increases in their motivation to alter drinking and decreases in the number of drinks that they intended to drink, the actual drinks consumed per month, the days per month that they drank, their maximum number of drinks consumed on one occasion, and their average number of drinks per occasion. They did not alter their sexual behavior or their motivation to increase safe sex behavior. These results suggest that the decisional balance plays an important role in Motivational Interviewing and could serve as a quick and efficient intervention by itself

Marital Quality and Health Over 20 Years: A Growth Curve Analysis

Although there is substantial evidence linking marital quality to physical health, few studies have been longitudinal. This study examined data from the Marital Instability Over the Life Course Study; 1,681 married individuals followed for 20 years were included in these analyses. In order to control for life course effects, participants were divided into 2 cohorts: early life and midlife. On the basis of latent growth curve analysis, the results indicated that initial values of marital happiness and marital problems were significantly associated with the initial value of physical health among both cohorts. In addition, the slope of marital happiness was significantly associated with the slope of physical health among the younger cohort, and the slope of marital problems was significantly associated with the slope of physical health among the midlife cohort. These results provide evidence of the significant association between positive and negative dimensions of marital quality and physical health over the life course

Unmanned Aircraft System Assessments of Landslide Safety for Transportation Corridors

An assessment of unmanned aircraft systems (UAS) concluded that current, off-the-shelf UAS aircraft and cameras can be effective for creating the digital surface models used to evaluate rock-slope stability and landslide risk along transportation corridors. The imagery collected with UAS can be processed using a photogrammetry technique called Structure-from-Motion (SfM) which generates a point cloud and surface model, similar to terrestrial laser scanning (TLS). We treated the TLS data as our control, or “truth,” because it is a mature and well-proven technology. The comparisons of the TLS surfaces and the SFM surfaces were impressive – if not comparable is many cases. Thus, the SfM surface models would be suitable for deriving slope morphology to generate rockfall activity indices (RAI) for landslide assessment provided the slopes. This research also revealed that UAS are a safer alternative to the deployment and operation of TLS operating on a road shoulder because UAS can be launched and recovered from a remote location and capable of imaging without flying directly over the road. However both the UAS and TLS approaches still require traditional survey control and photo targets to accurately geo-reference their respective DSM.List of Figures ...................................................................................................... vi List of Abbreviations ......................................................................................... vii Acknowledgments ................................................................................................ x Executive Summary ............................................................................................. xi CHAPTER 1 INTRODUCTION .......................................................................... 1 CHAPTER 2 LITERATURE REVIEW ................................................................ 4 2.1 Landslide Hazards .................................................................................... 4 2.2 Unmanned Aircraft Systems Remote Sensing.......................................... 6 2.3 Structure From Motion (SfM) .................................................................. 7 2.4 Lidar terrain mapping ............................................................................... 8 CHAPTER 3 STUDY SITE/DATA .................................................................. 11 CHAPTER 4 METHODS ................................................................................ 13 4.1 Data Collection ............................................................................................. 13 4.1.1 Survey Control ..................................................................................... 14 4.1.2 TLS Surveys ........................................................................................ 16 4.1.3 UAS Imagery ....................................................................................... 17 4.1.4 Terrestrial Imagery Acquisition ........................................................... 19 4.2 Data Processing ............................................................................................ 20 4.2.1 Survey Control ..................................................................................... 20 4.2.2 TLS Processing .................................................................................... 20 4.2.3 SfM Processing .................................................................................... 21 4.2.4 Surface Generation .............................................................................. 22 4.3 Quality Evaluation ........................................................................................ 23 4.3.1 Completeness ....................................................................................... 23 4.3.2 Data Density/Resolution ...................................................................... 23 4.3.3 Accuracy Assessment .......................................................................... 23 4.3.2 Surface Morphology Analysis ............................................................. 24 4.2.6 Data Visualization ............................................................................... 25 CHAPTER 5 RESULTS ................................................................................. 27 v 5.1 UTIC DSM evaluation.................................................................................. 27 5.1.1 Completeness evaluation ..................................................................... 28 5.1.2 Data Density Evaluation ...................................................................... 29 5.1.3 Accuracy Evaluation............................................................................ 30 5.2 Geomorphological Evaluation ...................................................................... 32 CHAPTER 6 DISCUSSION ............................................................................ 35 6.1 Evaluation of UAS efficiencies .................................................................... 35 6.2 DSM quality and completeness .................................................................... 37 6.3 Safety and operational considerations .......................................................... 37 CHAPTER 7 CONCLUSIONS AND RECOMMENDATIONS ................................ 40 7.1 Technology Transfer..................................................................................... 41 7.1.1 Publications ......................................................................................... 41 7.1.2 Presentations ........................................................................................ 42 7.1.3 Multi-media outreach .......................................................................... 43 6.4 Integration of UAS and TLS data ................................................................. 44 REFERENCES .............................................................................................. 4

Comparative calculation of EPR spectral parameters in [Mo^VOX_4]^-, [Mo^VOX_5]^(2-), and [Mo^VOX_4(H_2O)]^- complexes

The EPR spectral parameters, i.e. g-tensors and molybdenum hyperfine couplings, for several d^1 systems of the general formula [Mo^VEX_4]^(n-), [Mo^VOX_5]^(2-), and [Mo^VOX_4(H_2O)]^- (E = O, N; X = F, Cl, Br; n = 1 or 2) were calculated using Density Functional Theory. The influence of basis sets, their contraction scheme, the type of exchange-correlation functional, the amount of Hartree-Fock exchange, molecular geometry, and relativistic effects on the calculated EPR spectra parameters have been discussed. The g-tensors and molybdenum hyperfine coupling parameters were calculated using a relativistic Hamiltonian coupled with several LDA, GGA, and 'hybrid' exchange-correlation functionals and uncontracted full-electron DGauss DZVP basis sets. The calculated EPR parameters are found to be sensitive to the Mo=E distance and E=Mo-Cl angle, and thus the choice of starting molecular geometry should be considered as an important factor in predicting the g-tensors and hyperfine coupling constants in oxo-molybdenum compounds. In the present case, the GGA exchange-correlation functionals provide a better agreement between the theory and the experiment