Investigating Machine Learning Techniques for Gesture Recognition with Low-Cost Capacitive Sensing Arrays

Machine learning has proven to be an effective tool for forming models to make predictions based on sample data. Supervised learning, a subset of machine learning, can be used to map input data to output labels based on pre-existing paired data. Datasets for machine learning can be created from many different sources and vary in complexity, with popular datasets including the MNIST handwritten dataset and CIFAR10 image dataset. The focus of this thesis is to test and validate multiple machine learning models for accurately classifying gestures performed on a low-cost capacitive sensing array. Multiple neural networks are trained using gesture datasets obtained from the capacitance board. In this paper, I train and compare different machine learning models on recognizing gesture datasets. Learning hyperparameters are also adjusted for results. Two datasets are used for the training: one containing simple gestures and another containing more complicated gestures. Accuracy and loss for the models are calculated and compared to determine which models excel at recognizing performed gestures

Isolation and characterization of Pisum sativum apyrases, PsNTP9 and PsNTP9-DM, cloned and expressed in Escherichia coli

Adenosine triphosphate (ATP) is widely known as a fuel source for many biochemical processes, and to a lesser degree also as a signaling molecule in plants and animals. When plants are subjected to biotic or abiotic stress or undergoing exocytosis, they release ATP into the extracellular matrix (ECM). The release of ATP sets off a signal transduction pathway, first rapidly increasing the concentrations of cytosolic calcium, reactive oxygen species, and nitric oxide. How these changes specifically influence physiology is the object of much research in both plants and animals. Some of the changes that are affected influence growth and development, stomatal function, and gravitropism. Apyrases and other phosphatases control the concentration of the released nucleotides by breaking phosphate bonds from nucleoside triphosphates and diphosphates. Research aimed at the discovery of receptors, signaling pathway components, and processes has been successful to some extent. There are now known purinergic receptors in both plants and animal cells. We have cloned a truncated version of Pisum sativum (ps) NTP9. We used a pET-22B vector to add a histidine tag and transformed the vector into the BL21 Escherichia coli with a T7 promoter to enable IPTG induction of the LAC operon and expression of the enzyme. The pET-22B vector was incubated in separate samples with BL21 cells. Cells were propagated, and the expression of recombinant proteins PsNTP9, and separately, a double mutant PsNTP9-DM with a second calmodulin-binding domain, were induced ectopically. Cells were broken open by shaking them and mixing them with lysis buffer. Centrifugation was performed to separate the supernatant containing the released apyrases from the particulate wall fraction. The enzymes were purified by affinity chromatography, then their purity was evaluated by sodium dodecyl sulfate - polyacrylamide gel electrophoresis (SDS-PAGE). Western blots were performed to verify presence of the apyrases using a commercial anti-histidine antibody to detect PsNTP9 and PsNTP9-DM. Once suitable amounts of our proteins of interest were harvested, we performed Bradford assays to determine the protein concentration of the samples and carried out an apyrase activity assay to determine the specific activity of the purified enzymes and compare it to that of other known phosphatases.Plant Biolog

\u3cem\u3eWillson v. Black-Bird Creek Marsh Co.\u3c/em\u3e, 25 U.S. 245 (1829): An Early Test of the Dormant Commerce Clause

In 1822, Delaware authorized the Blackbird Creek Marsh Company to bank and drain the Blackbird Creek in New Castle County. Subsequently, Thompson Wilson and others destroyed the structure built by the marsh company. The marsh company subsequently sued Mr. Wilson for the damage to its property. The parties eventually appealed their dispute to the Supreme Court of the United States. The Court held that Delaware’s authorization to bank and dam the creek did not conflict with the federal government’s exclusive authority to regulate commerce between the several states. Ultimately, the Court decided Willson in a manner inconsistent with its earlier decision in Gibbons v. Ogden and subsequent decisions regarding navigation of U.S. waters. Additionally, Mr. Wilson likely chose not to bring a Fifth Amendment takings claim due to the lack of legal support for such a claim at the time

Return of the John Birch Society : a progenitor of conspiracy-minded politics rises again in Texas

Ostracized for decades, the John Birch Society, one of the powerful cornerstones of the late 1950s and 1960s extreme conservative movement, is making a comeback in Texas. In early 2017, in the tiny farming town of Holland, new members gather in a church annex to learn about a secret conspiracy to emasculate ordinary Americans by taking their guns, their religion, and their heritage. In sprawling Houston, the nation’s fourth largest city, members listen eagerly as a Southern Baptist pastor (who doubles as a George Washington impersonator) thunders that President Trump was sent from God to save the country. “John Birch Society membership in Texas has doubled in the last three years, and state legislators are joining the group,” says Jan Carter, a 75-year-old retiree who leads the Central Texas Chapter of the John Birch Society. This report is a journey into the singular world of the John Birch Society in Texas, a world riven with far-right, conspiracy-minded ideology. The report examines the sociological, political, and psychological forces that have contributed to the resurgence of the John Birch Society; forces that are underreported in the mainstream media, and forces that helped propel Donald Trump to the White HouseJournalis

Empirical Analysis and Trading Strategies for Defaulted Debt Securities with Models for Risk and Investment Management

This study empirically analyzes the historical performance of defaulted debt from Moody’s Ultimate Recovery Database (1987-2010). Motivated by a stylized structural model of credit risk with systematic recovery risk, we argue and find evidence that returns on defaulted debt co-vary with determinants of the market risk premium, firm specific and structural factors. Defaulted debt returns in our sample are observed to be increasing in collateral quality or debt cushion of the issue. Returns are also increasing for issuers having superior ratings at origination, more leverage at default, higher cumulative abnormal returns on equity prior to default, or greater market implied loss severity at default. Considering systematic factors, returns on defaulted debt are positively related to equity market indices and industry default rates. On the other hand, defaulted debt returns decrease with short-term interest rates. In a rolling out-of-time and out-of-sample resampling experiment we show that our leading model exhibits superior performance. We also document the economic significance of these results through excess abnormal returns, implementing a hypothetical trading strategy, of around 5-6% (2-3%) assuming zero (1bp per month) round-trip transaction costs. These results are of practical relevance to investors and risk managers in this segment of the fixed income market.Distressed Debt; Recoveries; Default; Credit Risk

Empirical Implementation of a 2-Factor Structural Model for Loss-Given-Default

In this study we develop a theoretical model for ultimate loss-given default in the Merton (1974) structural credit risk model framework, deriving compound option formulae to model differential seniority of instruments, and incorporating an optimal foreclosure threshold. We consider an extension that allows for an independent recovery rate process, representing undiversifiable recovery risk, having a stochastic drift. The comparative statics of this model are analyzed and compared and in the empirical exercise, we calibrate the models to observed LGDs on bonds and loans having both trading prices at default and at resolution of default, utilizing an extensive sample of losses on defaulted firms (Moody’s Ultimate Recovery Database™), 800 defaults in the period 1987-2008 that are largely representative of the U.S. large corporate loss experience, for which we have the complete capital structures and can track the recoveries on all instruments from the time of default to the time of resolution. We find that parameter estimates vary significantly across recovery segments, that the estimated volatilities of recovery rates and of their drifts are increasing in seniority (bank loans versus bonds). We also find that the component of total recovery volatility attributable to the LGD-side (as opposed to the PD-side) systematic factor is greater for higher ranked instruments and that more senior instruments have lower default risk, higher recovery rate return and volatility, as well as greater correlation between PD and LGD. Analyzing the implications of our model for the quantification of downturn LGD, we find the ratio of the later to ELGD (the “LGD markup”) to be declining in expected LGD, but uniformly higher for lower ranked instruments or for higher PD-LGD correlation. Finally, we validate the model in an out-of-sample bootstrap exercise, comparing it to a high-dimensional regression model and to a non-parametric benchmark based upon the same data, where we find our model to compare favorably. We conclude that our model is worthy of consideration to risk managers, as well as supervisors concerned with advanced IRB under the Basel II capital accord.LGD; credit risk; default; structural model

The Reconstruction of American Journalism

Explores the history and changing landscape of American journalism as well as the need to preserve independent, original, and credible print news reporting. Considers the roles of the Internet, collaborations among newspapers, and foundation support