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2022

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The Integer-Antimagic Spectra Of A Disjoint Union Of Hamiltonian Graphs, Uğur Odabaşi, Dan Roberts, Richard M. Low Jan 2022

The Integer-Antimagic Spectra Of A Disjoint Union Of Hamiltonian Graphs, Uğur Odabaşi, Dan Roberts, Richard M. Low

Faculty Research, Scholarly, and Creative Activity

Let A be a nontrivial abelian group. A simple graph G = (V,E) is A-antimagic, if there exists an edge labeling f: E(G) → A\{0} such that the induced vertex labeling (Formula Presented) is a one-to-one map. The integer-antimagic spectrum of a graph G is the set IAM(G) = {k: G is Zk-antimagic and k ≥ 2}. In this paper, we determine the integer-antimagic spectra for a disjoint union of Hamiltonian graphs.

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The League Of Nations, Traffic In Women And The Transnationalization Of Criminal Law, Paul Knepper Jan 2022

The League Of Nations, Traffic In Women And The Transnationalization Of Criminal Law, Paul Knepper

Faculty Research, Scholarly, and Creative Activity

During the 1920s, the Advisory Committee on the Traffic in Women, of the League of Nations operated as a legal regime in the transnationalization of criminal law. This can be seen in its management of the first >worldwide< investigation into the traffic in women which sent undercover investigators to more than a 100 countries across Europe, the Americas, and the Mediterranean. The Advisory Committee initiated >trafficking< as a transnational crime and advanced the understanding of transnational criminal law beyond concepts of professional criminality.

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Towards Advanced Data Skills For Information Systems Graduates, Ashraf Shirani Jan 2022

Towards Advanced Data Skills For Information Systems Graduates, Ashraf Shirani

Faculty Research, Scholarly, and Creative Activity

This study aims to explore advanced data skills -in particular technical skills expected of a data engineering (DE) professional. Descriptions and requirements for the DE jobs, one each from 50 US companies, were collected from three job sites. An automated text analysis was performed on the job descriptions to extract a list of technical skills and competencies required for the DE job in the industry. The extracted information was then manually synthesized and categorized by the author. Findings of the study are intended to be of use by information systems graduates looking to pursue advanced data education and for curricula …

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Benchmarking Compositionality With Formal Languages, Josef Valvoda, Naomi Saphra, Jonathan Rawski, Adina Williams, Ryan Cotterell Jan 2022

Benchmarking Compositionality With Formal Languages, Josef Valvoda, Naomi Saphra, Jonathan Rawski, Adina Williams, Ryan Cotterell

Faculty Research, Scholarly, and Creative Activity

Recombining known primitive concepts into larger novel combinations is a quintessentially human cognitive capability. Whether large neural models in NLP can acquire this ability while learning from data is an open question. In this paper, we investigate this problem from the perspective of formal languages. We use deterministic finite-state transducers to make an unbounded number of datasets with controllable properties governing compositionality. By randomly sampling over many transducers, we explore which of their properties contribute to learnability of a compositional relation by a neural network. We find that the models either learn the relations completely or not at all. The …

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