In this dissertation, we address the problem of vagueness in traditional legal contracts by presenting novel methodologies that aid in the paradigm shift from traditional legal contracts to smart contracts. We discuss key enabling technologies that assist in converting the traditional natural language legal contract, which is full of vague words, phrases, and sentences to the blockchain-based precise smart contract, including metrics evaluation during our conversion experiment. To address the challenge of this contract-transformation process, we propose four novel proof-of-concept approaches that take vagueness and different possible interpretations into significant consideration, where we experiment with popular vendors' existing vague legal contracts. We show through experiments that our proposed methodologies are able to study the degree of vagueness in every interpretation and demonstrate which vendor's translated-smart contract can be more accurate, optimized, and have a lesser degree of vagueness. We also incorporated the method of fuzzy logic inside the blockchain-based smart contract, to successfully model the semantics of linguistic expressions. Our experiments and results show that the smart contract with the higher degrees of truth can be very complex technically but more accurate at the same time. By using fuzzy logic inside a smart contract, it becomes easier to solve the …

The evaluation of the transition experiences of veterans to civilian life was conducted. The military to civilian transition (MCT) framework along with theories covering organizational, identity, and systems streams of research situated the study. A mixed methods approach was conducted in two phases: a 28-item survey and 1.5-hour interviews, which helped contextualize and explain survey findings. The multiple regression procedure examined the relationship among three variables: person-organization fit, military identity, and organizational commitment with military identity was included as a moderator. Results indicated a positive relationship between person-organization fit and organizational commitment. Contrariwise, results indicated military identity's relationship between the variables was found to be not statistically significant. Although the moderation effect of military identity was not found to influence the relationships, interviews with veterans indicated a strong connection to their military identity. Veterans shared negative and unpredictable transition stories, positive transition stories, feelings of isolation, and held prevailing military goals, while reporting a lack of backing from support agencies. Veterans perceived differences between the military and civilian environments, veteran turnover and organizational commitment were found to connect and military values and military identity were found to have connections as well. Recommendations for improving military to civilian setting transitions for …

The Gemini Near Infrared Spectrograph - Distant Quasar Survey (GNIRS-DQS) is the largest uniform, homogeneous survey of its kind, covering 260 quasars at 1.5 ≤ z ≤ 3.5. This unique survey, coupled with data from the Sloan Digital Sky Survey (SDSS), enables new investigations into redshifts, supermassive black hole masses (MBH), and accretion rates at high redshift through spectroscopic coverage of important rest-frame UV-optical emission lines. The importance of this survey is highlighted in the fact that the optical emission lines provide more reliable measurements of these quasar parameters than their UV counterpart. With such a unique sample compiled here, I construct prescriptions to calibrate these quasar parameters derived from rest-frame UV emission lines to those derived from rest-frame optical emission lines. These prescriptions provide important insight into how these parameters depend on redshift and are potentially biased as we look out further into the universe. Additionally, all the work completed with this sample will help shape our understanding of how these quasars and their host galaxies co-evolve over cosmic time.

In the US, rural Native American communities (RNACs) experience excess morbidity in mental health disorders and mortality from opioid use disorder (OUD). This study used mixed methods to evaluate and analyze the primary data from 76 healthcare providers (HPs) from 24 states across the US (physicians = 7%), to identify HP knowledge and training regarding available prevention, treatment, and recovery (PTR) programs in treating OUD, assessment and management skills, and networking and collaboration capacity among the RNACs they serve. The HP completed the Opioid Survey for Health Care Providers online. A majority of HPs reported a need for knowledge and training regarding OUD treatments (92%). Less than half of the HPs provide intensive outpatient treatment; 40% contracted out for medication assisted treatment/medications for opioid use disorder (MAT/MOUD) services. Recovery support was low at 33% for adults and 38% for youth. HPs reported use of Narcan to be effective in reversing overdose (87%). Qualitative responses supported survey findings and described barriers, including lack of resources, inadequate staffing, insufficient funding, lack of training and OUD knowledge, stigma, and lack of tribal involvement and support. The study findings indicate HPs' need for information and training about OUD and networking and collaboration of healthcare …

I present spectroscopic measurements for 260 sources from the Gemini Near Infrared Spectrograph–Distant Quasar Survey (GNIRS-DQS). Being the largest uniform, homogeneous survey of its kind, it represents a flux-limited sample of Sloan Digital Sky Survey (SDSS) quasars at 1.5 < z < 3.5. A combination of the GNIRS and SDSS spectra covers principal quasar diagnostic features, chiefly the C IV λ1549, Mg II λλ2798, 2803, Hβ λ4861, and [O III] λλ4959, 5007 emission lines, in each source. The spectral inventory is utilized primarily to develop prescriptions for obtaining more accurate and precise redshifts, black hole masses, and accretion rates for all quasars. Additionally, the measurements facilitate an understanding of the dependence of rest-frame ultraviolet–optical spectral properties of quasars on redshift, luminosity, and Eddington ratio, and test whether the physical properties of the quasar central engine evolve over cosmic time.

Through the U.S. Lend-Lease program, President Franklin D. Roosevelt sought to keep Joseph Stalin's Red Army fighting Adolf Hitler's forces to prevent a separate peace and Nazi Germany's colonization of Soviet territory and strategic resources during the Second World War. Yet after the Red Army's 1943 counterattacks, Roosevelt unnecessarily increased Soviet Lend-Lease aid, oversupplying Stalin's soldiers with more armament than they required for the Soviet Union's defense and enabling their subsequent conquest of East Central Europe and large parts of East Asia. Roosevelt's underestimation of the Red Army's capabilities, his tendency to readily rely on Soviet-influenced advisers, and his unquestioning acceptance of Stalin's implicit threats to forge a separate peace all contributed to his excessive arming of Moscow from 1943 forward. Expanding on the findings of other scholars, this work identifies and explains the impact of the Brest-Litovsk Treaty on Roosevelt's reasoning, the key role of the Arctic convoys in delivering material to the Red Army, and how the unnecessary aid routes through Iran and Alaska resulted in the oversupplying of Stalin's troops. Had Roosevelt not opened these unnecessary routes, the Arctic convoys could have continued to sufficiently supply the Red Army's defensive efforts without empowering it to aggressively spread …