CITIZEN PARTICIPATION, SOCIAL CAPITAL AND SOCIAL LEARNING IN THE UNITED STATES, 1960-1995

Public Economics,

Heat transfer in DIRSIG an infrared synthetic scene generation model

Improvements to the thermodynamic model in the RIT Digital Imaging and Remote Sensing Lab\u27s synthetic image generation software model, DIRSIG, were made to account for three forms of heat transfer: conduction, convection, and radiation from an internal heat source. A validation was completed that collected truth data and evaluated the performance of the modifications. The simulated contrast of the final temperature images was relatively close to truth contrast. In addition, the exposed area term from the thermodynamic model was modified with the DIRSIG shape factor calculation for four different scenarios to improve background object temperature interactions. The best scenario was a replacement of the exposed area with the shape factor in the sky/background temperature equation. Finally, interpolation on weather data to decrease discrete shadow edges was performed and evaluated. This approach significandy reduced edge effects, but due to incorrect scene geometry, previous simulated imagery and previous truth imagery did not coincide, making final conclusions difficult to predict

Vibrato

Architecture & Allied Art

Vibrato

Architecture & Allied Art

Behavioral and Neural Correlates of Misses During Cued Recall

Recognition memory is thought to rely upon both recollection and familiarity. When people recall an episode from the past it is generally considered to reflect the memory process of recollection. Therefore, if people can successfully recall an item, they should be able to recognize it. However, in cued recall paradigms of memory research, participants sometimes correctly recall a studied target word in the presence of a strong semantic cue but then fail to recognize that word as actually having been studied. This paradox and underlying cognitive processes have been minimally studied by scientists, leaving this phenomenon poorly understood. Extant research has investigated some of the conditions necessary to produce these conditions but not the underlying neural correlates that drive them. The present study builds upon earlier studies using Electroencephalogram (EEG) to investigate the neural processes that underlie recognition failures of successfully recalled words. In the present experiment, participants studied words one at a time, and then later were asked to verbally recall these previously studied words as cued by their semantic associates. Following the participant’s verbal response, their recognition memory was tested for the recalled word. The current study aimed to use physiological measures (EEG) to investigate the explicit and implicit cognitive processes that may be involved in the recognition failure of recalled words. The data indicate that successfully recalled words that are recognized are driven by recollection at recall and a combination of recollection and familiarity at recognition, whereas successfully recalled words that are not recognized are instead driven by semantic priming at recall and at recognition, are driven by negative-going ERP effects reflecting implicit processes such as repetition fluency

Relationship of perceived ability and playing time to team climate

This study was initiated in an attempt to assess the team climate in various basketball environments and how an individual\u27s perceived ability and playing time may affect team climate. [This is an excerpt from the abstract. For the complete abstract, please see the document.

Using Micro-Gravity Techniques to Map Alluvium Thickness and Pleistocene Location of the West Branch of the Susquehanna River Near Muncy, Pennsylvania

Laurentide glaciation during the early Pleistocene (~970 ka) dammed the southeast-flowing West Branch of the Susquehanna River (WBSR), scouring bedrock and creating 100-km-long glacial Lake Lesley near the Great Bend at Muncy, Pennsylvania (Ramage et al., 1998). Local drill logs and well data indicate that subsequent paleo-outwash floods and modern fluvial processes have deposited as much as 30 meters of alluvium in this area, but little is known about the valley fill architecture and the bedrock-alluvium interface. By gaining a greater understanding of the bedrock-alluvium interface the project will not only supplement existing depth to bedrock information, but also provide information pertinent to the evolution of the Muncy Valley landscape. This project determined if variations in the thickness of the valley fill were detectable using micro-gravity techniques to map the bedrock-alluvium interface. The gravity method was deemed appropriate due to scale of the study area (~30 km2), ease of operation by a single person, and the available geophysical equipment. A LaCoste and Romberg Gravitron unit was used to collect gravitational field readings at 49 locations over 5 transects across the Muncy Creek and Susquehanna River valleys (approximately 30 km2), with at least two gravity base stations per transect. Precise latitude, longitude and ground surface elevation at each location were measured using an OPUS corrected Trimble RTK-GPS unit. Base stations were chosen based on ease of access due to the necessity of repeat measurements. Gravity measurement locations were selected and marked to provide easy access and repeat measurements. The gravimeter was returned to a base station within every two hours and a looping procedure was used to determine drift and maximize confidence in the gravity measurements. A two-minute calibration reading at each station was used to minimize any tares in the data. The Gravitron digitally recorded finite impulse response filtered gravity measurements every 20 seconds at each station. A measurement period of 15 minutes was used for each base station occupation and a minimum of 5 minutes at all other locations. Longer or multiple measurements were utilized at some sites if drift or other externalities (i.e. train or truck traffic) were effecting readings. Average, median, standard deviation and 95% confidence interval were calculated for each station. Tidal, drift, latitude, free-air, Bouguer and terrain corrections were then applied. The results show that the gravitational field decreases as alluvium thickness increases across the axes of the Susquehanna River and Muncy Creek valleys. However, the location of the gravity low does not correspond with the present-day location of the West Branch of the Susquehanna River (WBSR), suggesting that the WBSR may have been constrained along Bald Eagle Mountain by a glacial lobe originating from the Muncy Creek Valley to the northeast. Using a 3-D inversion model, the topography of the bedrock-alluvium interface was determined over the extent of the study area using a density contrast of -0.8 g/cm3. Our results are consistent with the bedrock geometry of the area, and provide a low-cost, non-invasive and efficient method for exploring the subsurface and for supplementing existing well data

CL2. Psi4NumPy: An Interactive Quantum Chemistry Programming Environment for Reference Implementation, Rapid Development, and Education

A cornerstone of the development of novel quantum chemistry methods is the translation of paper-and-pencil theory into an efficient computer program. To do this, low-level programming languages are typically employed; however, such implementations tend to be convoluted, as raw speed is the focus rather than either readability or reproducibil-ity. Any attempt at re-implementation must then proceed with the originally published equations as the only reference, whereby critical programming details must be re-discovered through a similarly heroic effort to the original implementation. To address these issues, the Psi4NumPy project [1] leverages the Psi4 quantum chemistry package and the Nu-merical Python (NumPy)library to create an interactive quantum chemistry programming environment for reference implementations, rapid development, and education. This envi-ronment allows for quantum chemistry-specific quantities computed with Psi4 and strided tensor manipulations performed with NumPy to be called directly from within the high-level Python programming language. Therefore, implementations of novel methods may be devel-oped quickly and programmed concisely, while maintaining a relatively low execution time. Provided as a series of short Python scripts, reference implementations for a variety of pop-ular quantum chemistry methods (including Hartree–Fock, Møller–Plesset, coupled cluster, electron propagator, and symmetry-adapted perturbation theories) address the community need for clear, readable programs which disseminate the details of such methods’ implemen-tation. Additionally, interactive tutorials discussing both the theory and implementation of these methods and others offer a unique educational framework for novice and experienced quantum chemists alike. Daniel G. A. Smith, Georgia Institute of Technology Dominic A. Sirianni, Georgia Institute of Technology Lori A. Burns, Georgia Institute of Technology Konrad Patkowski, Auburn University C. David Sherrill, Georgia Institute of Technolog