Digital Commons Network^™

Normally Supportive Sublattices Of Crystallographic Space Groups, Miles A. Clemens

Theses and Dissertations

Normal subgroups can be thought of as the primary building blocks for decomposing mathematicalgroups into quotient groups. The properties of the resulting quotient groups are oftenused to determine properties of the group itself. This thesis considers normal subgroups of threedimensionalcrystallographic space groups that are themselves three-dimensional crystallographicspace groups; for convenience, we refer to such a subgroup as a csg-normal subgroup. We identifypractical restrictions on csg-normal subgroups that facilitate their tabulation. First, the point groupof an csg-normal subgroup must be a normal subgroup of the crystallographic point group of thespace group, which we refer to for convenience as a cpg-normal subgroup. …

Alaska, The Last Statehood Constitution, And Subnational Rights And Governance, Robert F. Williams

Alaska Law Review

No abstract provided.

Banishment Of Non-Natives By Alaska Native Tribes: A Response To Alcoholism And Drug Addiction Halley Petersen, Halley Petersen

Alaska Law Review

Since 2015, at least a dozen tribal court banishments have been reported in Alaska, mainly involving alleged bootleggers and drug dealers in rural communities. Rural Alaska communities, which are predominantly Alaska Native, face high rates of alcoholism, drug abuse, and related crime. Faced with these drug and alcohol issues and insufficient access to law enforcement, it is not surprising that some communities have decided to banish offenders. However, banishment is not currently legal, at least when imposed upon non-Native citizens. Tribal courts lack sufficient jurisdiction over non-Natives to banish them for bootlegging or dealing drugs. Tribal governments are sovereigns with …

Alaska’S Merit Selection Of Judges: The Council’S Role, Past And Present, Teri White Carns, Susie Mason Dosik

Alaska Law Review

Delegates to Alaska's Constitutional Convention adopted a Judiciary Article that called for the state's judges to be selected and retained in a merit selection system. Modeled after the "Missouri Plan," attorneys applying for judgeships are reviewed by the Judicial Council; two or more candidates are nominated to the governor; the governor appoints from the Council's list; and all judges periodically stand for retention in the general elections. Alaska's Judicial Council is composed of three non-attorneys appointed by the governor and confirmed by the legislature, three attorneys appointed by the Alaska Bar Board of Governors, and the Chief Justice who serves …

Preparing The Way: Tom Stewart’S Recollections On The Alaska State Constitutional Convention, Thomas Metzloff

Alaska Law Review

One of the most important figures in the successful effort for Alaska statehood was Tom Stewart. Born into an established Juneau family headed by Ben Stewart, founder of the Alaska Territorial Department of Mines, Tom was raised in Juneau. After earning his B.A. at the University of Washington, he attended Yale Law School. Following graduation, he clerked for United States District Court Judge George Folta in Juneau in 1951 and became a member of the Alaska Bar. After clerking, he served as Assistant Attorney General for Alaska from 1951 to 1954. He was then elected to the House of Representatives …

Merit Selection Of Judges In Alaska: The Judicial Council, The Independence Of The Judiciary, And The Popular Will, Walter L. Carpeneti, Brett Frazer

Alaska Law Review

The judicial selection and retention provisions of the Alaska Constitution, found in Article IV, achieve a delicate and remarkably successful balance between competing interests. The purposes of this article are to describe this constitutional plan (called “merit selection” because it begins with nomination based on merit alone), explain why the founders adopted it, examine historical challenges to it, and assess its performance on the 60th anniversary of Alaska statehood.

Judicializing History: Mass Crimes Trials And The Historian As Expert Witness In West Germany, Cambodia, And Bangladesh, Rebecca Gidley, Mathew Turner

Genocide Studies and Prevention: An International Journal

Henry Rousso warned that the engagement of historians as expert witnesses in trials, particularly highly politicized proceedings of mass crimes, risks a judicialization of history. This article tests Rousso’s argument through analysis of three quite different case studies: the Frankfurt Auschwitz trial; the Extraordinary Chambers in the Courts of Cambodia; and the International Crimes Tribunal in Bangladesh. It argues that Rousso’s objections misrepresent the Frankfurt Auschwitz trial, while failing to account for the engagement of historical expertise in mass atrocity trials beyond Europe. Paradoxically, Rousso’s criticisms are less suited to the European context that represents his purview, and apply more …

The Effects Of Within-School Consultation On General Education Teachers’ Use Of Behavior-Specific Praise With Students With Emotional Disabilities, Darrelanne M. Sundeen

Dissertations

Students identified with emotional disabilities (ED) are increasingly being included in the general education academic classrooms. Most general education academic teachers have little training or exposure to the characteristics and interventions associated with students with ED. Behavior-specific praise (BSP) has been shown to be an effective intervention for decreasing problem behaviors in the classroom. Unfortunately, studies have shown that teachers generally provide low rates of praise to secondary students and less so to secondary students with ED. This study used a multiple baseline single-subject design across participants to assess whether the use of within-school consultation intervention which involved regular structured …

Prothonotary Warbler Demography And Nest Site Selection In Natural And Artificial Cavities In Bottomland Forests Of Arkansas, Usa [Démographie Et Sélection Du Site De Nidification De La Paruline Orangée Dans Des Cavités Naturelles Et Artificielles En Forêts Sur Terres Basses De L'Arkansas, É.-U.], Morgan C. Slevin, Alix E. Matthews, Than J. Boves

School of Medicine Faculty Publications and Presentations

Anthropogenic alterations to bottomland forests in the United States that occurred post-European settlement likely negatively affected many avian species. The Prothonotary Warbler (Protonotaria citrea), a secondary cavity nester that breeds predominantly in these forests, has steadily declined over the past 60 years, and our ability to mitigate this trend is partially limited by a lack of basic biological data. Although much research has been devoted to Prothonotary Warblers, most studies have focused on local breeding populations that use nest boxes; we lack information about habitat selection behavior and demographic parameters of individuals that use natural cavities, which includes the vast …

Finding A Better Way Around Employment At Will: Protecting Employees' Autonomy Interests Through Tort Law, William Corbett

Journal Articles

No abstract provided.

Efficient Counterfactual Learning From Bandit Feedback, Yusuke Narita, Shota Yasui, Kohei Yata

Cowles Foundation Discussion Papers

What is the most statistically efficient way to do off-policy optimization with batch data from bandit feedback? For log data generated by contextual bandit algorithms, we consider offline estimators for the expected reward from a counterfactual policy. Our estimators are shown to have lowest variance in a wide class of estimators, achieving variance reduction relative to standard estimators. We then apply our estimators to improve advertisement design by a major advertisement company. Consistent with the theoretical result, our estimators allow us to improve on the existing bandit algorithm with more statistical confidence compared to a state-of-theart benchmark.

Dynamic Panel Modeling Of Climate Change, Peter C.B. Phillips

Cowles Foundation Discussion Papers

We discuss some conceptual and practical issues that arise from the presence of global energy balance effects on station level adjustment mechanisms in dynamic panel regressions with climate data. The paper provides asymptotic analyses, observational data computations, and Monte Carlo simulations to assess the use of various estimation methodologies, including standard dynamic panel regression and cointegration techniques that have been used in earlier research. The findings reveal massive bias in system GMM estimation of the dynamic panel regression parameters, which arise from fixed effect heterogeneity across individual station level observations. Difference GMM and Within Group (WG) estimation have little bias …

The Sociality Of Post-Truth: Neoliberal Culture And Its Rationality, Debbie Sonu

Publications and Research

As said by Hannah Arendt (1951), “being right has nothing to do with the objective truthfulness of the Leader's statements which cannot be disproved by facts, but only by future success or failure” (p. 383). Thus, the only reassurance audiences need in a post-truth culture is the constant reassurance that he, the leader, is winning, winning, winning. If post-truth signifies an appeal to the emotional drive irrespective of factual or rational truth, how does post-truth emerge and what are the conditions that feed this possibility? What in this society has ignited the affirmation of white nationalism, authoritarian leadership, and the …

Investigating Employability: Testing The Raw Framework, Daniell Jean Study

Electronic Theses, Projects, and Dissertations

In a recent model of employability, Hogan, Chamorro-Premuzic, and Kaiser (2013) defined employability as the ability to gain and maintain employment and find new employment when necessary. The authors presented employability as a formative construct containing an ability dimension (the ability to do the job), a social skills dimension (being rewarding to work with), and a motivational dimension (being willing to work hard). There is no question as to whether these three dimensions affect one’s level of employability; research is abundant on the positive relationships between intelligence, social and emotional skills, motivation and career success. However, little research has been …

Sensor-Based Human Activity Recognition Using Bidirectional Lstm For Closely Related Activities, Arumugam Thendramil Pavai

Electronic Theses, Projects, and Dissertations

Recognizing human activities using deep learning methods has significance in many fields such as sports, motion tracking, surveillance, healthcare and robotics. Inertial sensors comprising of accelerometers and gyroscopes are commonly used for sensor based HAR. In this study, a Bidirectional Long Short-Term Memory (BLSTM) approach is explored for human activity recognition and classification for closely related activities on a body worn inertial sensor data that is provided by the UTD-MHAD dataset. The BLSTM model of this study could achieve an overall accuracy of 98.05% for 15 different activities and 90.87% for 27 different activities performed by 8 persons with 4 …

Evidence For Divergent Patterns Of Local Selection Driving Venom Variation In Mojave Rattlesnakes (Crotalus Scutulatus), Jason L. Strickland, Cara F. Smith, Andrew J. Mason, Drew R. Schield, Miguel Borja, Gamaliel Castañeda-Gaytán, Carol L. Spencer, Lydia L. Smith, Ann Trápaga, Nassima M. Bouzid, Gustavo Campillo-García, Oscar A. Flores-Villela, Daniel Antonio-Rangel, Stephen P. Mackessy, Todd A. Castoe, Darin R. Rokyta, Christopher L. Parkinson

Publications

Snake venoms represent an enriched system for investigating the evolutionary processes that lead to complex and dynamic trophic adaptations. It has long been hypothesized that natural selection may drive geographic variation in venom composition, yet previous studies have lacked the population genetic context to examine these patterns. We leverage range-wide sampling of Mojave Rattlesnakes (Crotalus scutulatus) and use a combination of venom, morphological, phylogenetic, population genetic, and environmental data to characterize the striking dichotomy of neurotoxic (Type A) and hemorrhagic (Type B) venoms throughout the range of this species. We find that three of the four previously identified …

Crude Oil Prices Forecasting: Time Series Vs. Svr Models, Xin James He

Journal of International Technology and Information Management

This research explores the weekly crude oil price data from U.S. Energy Information Administration over the time period 2009 - 2017 to test the forecasting accuracy by comparing time series models such as simple exponential smoothing (SES), moving average (MA), and autoregressive integrated moving average (ARIMA) against machine learning support vector regression (SVR) models. The main purpose of this research is to determine which model provides the best forecasting results for crude oil prices in light of the importance of crude oil price forecasting and its implications to the economy. While SVR is often considered the best forecasting model in …

Using Sas™ Software To Enhance Pedagogy For Text Mining And Sentiment Analysis Using Social Media (Twitter™) Data, Ramesh Subramanian, Danielle Cote

Journal of International Technology and Information Management

This pedagogical paper describes how a graduate course in Text Mining was developed and taught in a fully online format at Quinnipiac University. The software used was SAS™ Enterprise Miner. This paper discusses the design, software used and the methodology followed in the course. A critical component of the course required the students to delve deep into social media data by completing a detailed project on analyzing sentiment analysis using large files of social media data. A sample report of this project, which was a key deliverable for the course, is described at length in this paper.

The Relationship Between Organizational Resources And Green It/S Adoption: A Rbv Approach, Lutfus Sayeed, Alberto Onetti

Journal of International Technology and Information Management

ABSTRACT

The objective of the present study was to empirically explore the impact of the implementation of Green IT/S measures on organizational resources in the US and European firms. The study examined the influence of reconfiguration of resources within a firm while adopting various Green IT/S practices and technologies. Green IT/S implementation requires resource commitment from organizations (Bose and Luo, 2011). What are these resources and how do they affect the extent of Green IT/S measures adopted by businesses? Resource Based View (RBV) of the firm was used as the theoretical framework of the study. The relationship between the adoption …

Menstrual Hygiene Management And School Absenteeism Among Adolescent Students In Indonesia: Evidence From A Cross-Sectional School-Based Survey, Jessica Davis, Alison Macintyre, Mitsunori Odagiri, Wayan Suriastini, Andreina Cordova, Chelsea Huggett, Paul A. Agius, Anissa Elok Budiyani, Claire Quillet, Stanley Luchters

Population Health, East Africa

Objective: To assess the prevalence of menstrual hygiene management (MHM) knowledge and practices among adolescent schoolgirls in Indonesia, and assess factors associated with poor MHM and school absenteeism due to menstruation.

Methods: A cross-sectional survey enrolled a representative sample of urban and rural school-going girls aged 12-19 years in four provinces of Indonesia. A semi-structured, self-administered questionnaire obtained socio-demographic characteristics, knowledge, practices and attitudes related to menstruation, MHM and school absenteeism. School water, sanitation and hygiene (WASH) facilities were also assessed. Univariate weighted population prevalence was estimated and multivariable logit regression analyses applied to explore associations.

Results: A total of …

Modeling Movement Decisions In Networks: A Discrete Choice Model Approach, Larry Lin Junjie

Dissertations and Theses Collection (Open Access)

In this dissertation, we address the subject of modeling and simulation of agents and their movement decision in a network environment. We emphasize the development of high quality agent-based simulation models as a prerequisite before utilization of the model as an evaluation tool for various recommender systems and policies. To achieve this, we propose a methodological framework for development of agent-based models, combining approaches such as discrete choice models and data-driven modeling.

The discrete choice model is widely used in the field of transportation, with a distinct utility function (e.g., demand or revenue-driven). Through discrete choice models, the movement decision …

Social Software Development: Insights And Solutions, Abhishek Sharma

Dissertations and Theses Collection (Open Access)

Over last few decades, the way software is developed has changed drastically. From being an activity performed by developers working individually to develop standalone programs, it has transformed into a highly collaborative and cooperative activity. Software development today can be considered as a participatory culture, where developers coordinate and engage together to develop software while continuously learning from one another and creating knowledge.

In order to support their communication and collaboration needs, software developers often use a variety of social media channels. These channels help software developers to connect with like-minded developers and explore collaborations on software projects of interest. …

Innovation Tradecraft: Sustaining Technological Advantage In The Future Army, Adam J. Harrison, Bharat Rao, Bala Mulloth

The US Army War College Quarterly: Parameters

No abstract provided.

Exploring The Impact Of Pretrained Bidirectional Language Models On Protein Secondary Structure Prediction, Dillon G. Daudert

Masters Theses

Protein secondary structure prediction (PSSP) involves determining the local conformations of the peptide backbone in a folded protein, and is often the first step in resolving a protein's global folded structure. Accurate structure prediction has important implications for understanding protein function and de novo protein design, with progress in recent years being driven by the application of deep learning methods such as convolutional and recurrent neural networks. Language models pretrained on large text corpora have been shown to learn useful representations for feature extraction and transfer learning across problem domains in natural language processing, most notably in instances where the …

J Mich Dent Assoc Dec 2018

The Journal of the Michigan Dental Association

Archival issues of the Journal of the Michigan Dental Association may include reports on the activities of the association and its members, clinical articles, information on legal and ethical practice considerations, and perspectives of interest to MDA members and those in the oral health profession.

Exploring The Wholeness And Learning Climates Of Graduate Students At A Religious University, Stacey Brooke Cunningham

Loma Linda University Electronic Theses, Dissertations & Projects

Background: Graduate school students continuously face pressure to perform and excel, especially within highly competitive allied health graduate programs. Not surprisingly, rates of anxiety, depression, stress, and burnout for college/university students are concerning. Recent evidence suggests that intentionally fostered learning and wholeness climates have the potential to positively impact students’ higher education journeys. Resilience and grit are also vital components to aid in optimal personal and academic outcomes. Goal of the Study: The current study’s goal was to discover if a stated institutional policy and philosophy about a commitment to fostering wholeness influenced the perceived wholeness and learning climates …

Fingerprinting The Smart Home: Detection Of Smart Assistants Based On Network Activity, Arshan Hashemi

Master's Theses

As the concept of the Smart Home is being embraced globally, IoT devices such as the Amazon Echo, Google Home, and Nest Thermostat are becoming a part of more and more households. In the data-driven world we live in today, internet service providers (ISPs) and companies are collecting large amounts of data and using it to learn about their customers. As a result, it is becoming increasingly important to understand what information ISPs are capable of collecting. IoT devices in particular exhibit distinct behavior patterns and specific functionality which make them especially likely to reveal sensitive information. Collection of this …

Cleaver: Classification Of Everyday Activities Via Ensemble Recognizers, Samantha Hsu

Master's Theses

Physical activity can have immediate and long-term benefits on health and reduce the risk for chronic diseases. Valid measures of physical activity are needed in order to improve our understanding of the exact relationship between physical activity and health. Activity monitors have become a standard for measuring physical activity; accelerometers in particular are widely used in research and consumer products because they are objective, inexpensive, and practical. Previous studies have experimented with different monitor placements and classification methods. However, the majority of these methods were developed using data collected in controlled, laboratory-based settings, which is not reliably representative of real …

Fluid Agitation Studies For Drug Product Containers Using Computational Fluid Dynamics, Matthew Hiroki Ichinose

Master's Theses

At Amgen, the Automated Vision Inspection (AVI) systems capture the movement of unwanted particles in Amgen's drug product containers. For quality inspection, the AVI system must detect these undesired particles using a high speed spin-stop agitation process. To better understand the fluid movements to swirl the particles away from the walls, Computational Fluid Dynamics (CFD) is used to analyze the nature of the two phase flow of air and a liquid solution.

Several 2-D and 3-D models were developed using Fluent to create simulations of Amgen's drug product containers for a 1 mL syringe, 2.25 mL syringe, and a 5 …

Molecular Dynamics Of P21 And Fluorescent Sphingomyelin In Keratinocytes Exposed To Uvb, Tyler Malcolm Fraser

Master's Theses

Non-melanoma skin cancer (NMSC) is the most common malignant tumor, representing more than a third of all malignant tumors combined and the incidence is increasing every year. Ultraviolet (UV) radiation from the sun is the most dominant factor contributing to tumor initiation and progression. The condition is most prevalent in populations with lighter skin and older age. Current pharmaceutical molecular research targets the inhibition of the Epidermal Growth Factor Receptor (EGFR), a receptor which is commonly over-expressed or dysregulated in skin malignancies. This study evaluates the content and location of the damage marker p21 within keratinocytes that were incubated in …