Exploring Data Science: Understanding, Predicting, & Visualizing Crime in Syracuse

With the advent of the open data portal for the city of Syracuse came an opportunity previously impossible; anyone could download, mine, and visualize information about Syracuse direct from the source. Over the course of this project, I will be performing these processes on a selection of crime data from 2017 in order to better understand the patterns of crime in Syracuse, where they occur, and if it can be predicted whether or not a crime will lead to an arrest. This project will begin with an overview of the data, how it was obtained, and the meanings of the variables within. Next, I will begin the process of cleaning and feature engineering so as to optimize the data set for analysis. Following that, I will visualize the different aspects of the data and point out interesting insights I have drawn as a result. Finally, I will attempt to predict whether or not an arrest will occur based off of other variables present within the data

An analysis of the Iowan angler\u27s fishing license renewal decision

The number of annual fishing licenses sold in Iowa has been in decline for two decades and has limited the amount of funds available to the Iowa Department of Natural Resources for fisheries management. The Iowa DNR is focused on reversing this trend through targeted marketing and efficient management of fishing resources. An analysis of Iowa anglers is performed with these goals in mind using past surveys and current customer data. The product of this analysis is a model which predicts whether a past customer will renew their license in the upcoming year. A logit model is developed using license purchase history, demographics, and proximity to rivers and lakes as explanatory variables. The estimated models successfully predicted the 2005 license renewal behavior of anglers 72% of the time. A statewide survey of anglers is recommended to collect additional explanatory data for and develop further understanding of Iowan angler motivations

Dynamics of Perfectly Wetting Drops under Gravity

We study the dynamics of small droplets of polydimethylsiloxane (PDMS) silicone oil on a vertical, perfectly-wetting, silicon wafer. Interference videomicroscopy allows us to capture the dynamics of these droplets. We use droplets with a volumes typically ranging from 100 to 500 nanolitres (viscosities from 10 to 1000 centistokes) to understand long time derivations from classical solutions. Past researchers used one dimensional theory to understand the typical $t^{1/3}$ scaling for the position of the tip of the droplet in time $t$. We observe this regime in experiment for intermediate times and discover a two-dimensional, similarity solution of the shape of the droplet. However, at long times our droplets start to move more slowly down the plane than the $t^{1/3}$ scaling suggests and we observe deviations in droplet shape from the similarity solution. We match experimental data with simulations to show these deviations are consistent with retarded van der Waals forcing which should become significant at the small heights observed

Differences in stress reactivity between zebrafish with alternative stress coping styles

Animals experience stress in a variety of contexts and the behavioural and neuroendocrine responses to stress can vary among conspecifics. The responses across stressors often covary within an individual and are consistently different between individuals, which represent distinct stress coping styles (e.g. proactive and reactive). While studies have identified differences in peak glucocorticoid levels, less is known about how cortisol levels differ between stress coping styles at other time points of the glucocorticoid stress response. Here we quantified whole-body cortisol levels and stress-related behaviours (e.g. depth preference, movement) at time points representing the rise and recovery periods of the stress response in zebrafish lines selectively bred to display the proactive and reactive coping style. We found that cortisol levels and stress behaviours are significantly different between the lines, sexes and time points. Further, individuals from the reactive line showed significantly higher cortisol levels during the rising phase of the stress response compared with those from the proactive line. We also observed a significant correlation between individual variation of cortisol levels and depth preference but only in the reactive line. Our results show that differences in cortisol levels between the alternative stress coping styles extend to the rising phase of the endocrine stress response and that cortisol levels may explain variation in depth preferences in the reactive line. Differences in the timing and duration of cortisol levels may influence immediate behavioural displays and longer lasting neuromolecular mechanisms that modulate future responses

Consensus mutagenesis reveals that non-helical regions influence thermal stability of horseradish peroxidase

The enzyme horseradish peroxidase has many uses in biotechnology but a stabilized derivative would have even wider applicability. To enhance thermal stability, we applied consensus mutagenesis (used successfully with other proteins) to recombinant horseradish peroxidase and generated five single-site mutants. Unexpectedly, these mutations had greater effects on steady-state kinetics than on thermal stability. Only two mutants (T102A, T110V) marginally exceeded the wild type's thermal stability (4% and 10% gain in half-life at 50 °C respectively); the others (Q106R, Q107D, I180F) were less stable than wild type. Stability of a five-fold combination mutant matched that of Q106R, the least-stable single mutant. These results were perplexing: the Class III plant peroxidases display wide differences in thermal stability, yet the consensus mutations failed to reflect these natural variations. We examined the sequence content of Class III peroxidases to determine if there are identifiable molecular reasons for the stability differences observed. Bioinformatic analysis validated our choice of sites and mutations and generated an archetypal peroxidase sequence for comparison with extant sequences. It seems that both genetic variation and differences in protein stability are confined to non-helical regions due to the presence of a highly conserved alpha-helical structural scaffold in these enzymes

Increasing Spaceflight Analogue Mission Fidelity by Standardization of Extravehicular Activity Metrics Tracking and Analysis

Spaceflight analogues include human simulations that attempt to match as many variables of a real mission as possible, but here on Earth and at a fraction of the cost each having limitations. The goal of this Embry-Riddle Aeronautical University (ERAU) Spacesuit Utilization of Innovative Technology Laboratory (S.U.I.T. Lab) research is to improve simulation fidelity through Extravehicular Activity (EVA) data collection, analysis, and feedback, which will help humanity prepare for destinations such as the Moon or Mars. Investigated EVA metrics, physical and biomedical, are based on the identified NASA Human Research Roadmap research gaps related to the risk of injury and compromised performance due to EVA operations. Previous data acquired on 88 EVAs at the Flashline Mars Arctic Research Station in 2007, as well as historical Apollo data on EVAs, act as a baseline for data collection. Metrics tracked, collected, and analyzed from the Mars Desert Research Station (MDRS Crew 188, 2018) will aid in creating protocol recommendations for EVA simulations. Additional work was investigated with mission simulation analogues including the 2017 Hawai’i Space Exploration and Analog Simulation (HI-SEAS) and the AMADEE-18 (2018, Oman) missions. The investigation of human performance data with respect to energy expenditure will help identify physical limitations, thus providing explorers with a schedule that maximizes their potential on EVA. It is envisioned that the results of these studies will help prescribe systematic field operations and data collection standards that will prepare humankind for surface planetary expeditions. It is the intent of the ERAU S.U.I.T. Lab to act as a bridge between international efforts and as a repository of simulated mission EVA data for analysis and enhancement of human exploration

Potential impacts of offshore oil spills on polar bears in the Chukchi Sea

Sea ice decline is anticipated to increase human access to the Arctic Ocean allowing for offshore oil and gas development in once inaccessible areas. Given the potential negative consequences of an oil spill on marine wildlife populations in the Arctic, it is important to understand the magnitude of impact a large spill could have on wildlife to inform response planning efforts. In this study we simulated oil spills that released 25,000 barrels of oil for 30 days in autumn originating from two sites in the Chukchi Sea (one in Russia and one in the U.S.) and tracked the distribution of oil for 76 days. We then determined the potential impact such a spill might have on polar bears (Ursus maritimus) and their habitat by overlapping spills with maps of polar bear habitat and movement trajectories. Only a small proportion (1 -10%) of high-value polar bear sea ice habitat was directly affected by oil sufficient to impact bears. However, 27-38% of polar bears in the region were potentially exposed to oil. Oil consistently had the highest probability of reaching Wrangel and Herald islands, important areas of denning and summer terrestrial habitat. Oil did not reach polar bears until approximately 3 weeks after the spills. Our study found the potential for significant impacts to polar bears under a worst case discharge scenario, but suggests that there is a window of time where effective containment efforts could minimize exposure to bears. Our study provides a framework for wildlife managers and planners to assess the level of response that would be required to treat exposed wildlife and where spill response equipment might be best stationed. While the size of spill we simulated has a low probability of occurring, it provides an upper limit for planners to consider when crafting response plans

Timeliness is Key to the Candidate Experience

Effective talent attraction is a competitive advantage for organizations. This study examined the spillover effect of recruitment delays on signals important for organizational attraction. A diverse sample of 563 candidates evaluated their most recent recruitment experience. Using moderated regression and relative importance analysis, timeliness dissatisfaction dampened the positive effects of organizational prestige and opportunity to perform although these effects are greater earlier in the recruitment process. We discuss the contributions of this study and provide recommendations for recruitment practice