Digital Commons Network^™

The Roper Extension: A California Perspective, Zoe Jordan

UC Law Journal

Although adulthood legally begins at age eighteen, young adults between the ages of eighteen and twenty-one are distinct from the rest of the adult population. Many studies conducted over the last two decades have revealed that the prefrontal cortex, the part of the brain responsible for social and emotional maturity as well as impulse control, is not fully developed until near the age of twenty-five. Thus, young adults have a neurobiologically-compromised ability to exercise self-control, adequately consider the consequences of their actions, and resist coercive pressures from others. Notably, the California Legislature has acknowledged the need to treat young adults …

British Poetry Of The Long Nineteenth Century, Beverley Rilett

Zea E-Books Collection

A Selection for College Students, including Charlotte Smith, William Blake, William Wordsworth, Samuel Taylor Coleridge, George Gordon Byron, Percy Bysshe Shelley, John Keats, Elizabeth Barrett Browning, Alfred Tennyson, Robert Browning, Emily Brontë, George Eliot, Matthew Arnold, George Meredith, Dante Gabriel Rossetti, Christina Rossetti, Oscar Wilde, and Mary Elizabeth Coleridge.

Includes biographical sketches.

doi 10.32873/unl.dc.zea.1096

Adolescent Future Orientation: Does Culture Matter?, Rachel Seginer

Online Readings in Psychology and Culture

Future orientation, or the image individuals have of the future, provides the grounds for setting goals and planning, and therefore is considered an important adolescent developmental task. This chapter introduces future orientation research by describing its evolvement from a thematic approach focusing on the content of future domains to a model consisting of three components, discusses its universal and cross-cultural meanings, and reports a replicated finding that across cultures, adolescents share a common core of future orientation domains consisting of education, career, and marriage and family. Based on findings on effects of the family setting on future orientation and an …

Oil Preference In Ants And Arthropod Diversity In Urban Environments, Itzel Guzman-Hernandez

Honors Theses

The success of certain ant species in urban areas is largely unknown. Available food in the environment could affect the composition of ants in urban areas due to a possible relationship between ant physiology and diet. I tested the oil preference of ants as a function of available arthropod prey in urban environments. I hypothesized that as arthropod diversity decreased, ant abundance at oil baits would decrease. Oil is an important nutrient that can affect ant body functions and activities. Ant foraging activities have been found to be affected by lipid depletion. A food source where ants can obtain oil …

Relations Between Self-Regulation, Divergent Thinking, And Perceived Stress In Emerging Adults, Haven Wright

Honors Theses

This study investigated the relationships between self-regulation and stress, self-regulation and creativity, and perceived stress as a mediator for the relationship between self-regulation and creativity. Questionnaires were administered to undergraduate students to individually access each construct. Creativity was measured through divergent thinking and self-regulation was measured through the SRS and effortful control. Regression analyses were run to determine the relationships between the constructs. A negative association was found between effortful control and stress. Individual positive relationships were found between effortful control and all of the creative thinking styles except convergent-unpleasant. Lastly, the indirect effect of effortful control on the convergent-unpleasant …

Improving Diabetic Foot Screening In A Primary Care Clinic For Homeless Adults: A Quality Improvement Project, Theresa Causa

Doctor of Nursing Practice

The purpose of this project was to increase the adherence of clinic providers at the homeless primary care clinic by implementing the American Diabetes Association Clinical Guidelines for the evaluation and management of Type 2 diabetes with foot care. Type 2 diabetes is a chronic condition that affects 13% of the Texas adult population (Centers for Disease Control and Prevention, 2014). The homeless person's main method of transportation is walking. The complications of undiagnosed foot problems include reduced mobility, pain, lower limb amputations, and difficulty controlling chronic diseases including diabetes and depression. Provider responsibilities include screening for diabetes in all …

Genetic Screening For Breast Cancer In The Primary Care Setting, Michael Nick Gomez

Doctor of Nursing Practice

The purpose of this project was to increase adherence to the U.S. Preventive Services Task Force and National Comprehensive Cancer Network guidelines for breast cancer screening and genetic testing. Screening for breast cancer risk factors including genetic testing helps reduce the incidence of breast cancer. A protocol was developed based on national clinical guidelines to increase screening and genetic testing for breast cancer. Provider responsibilities included screening all patients 18 years of age and older for risks factors of breast cancer, referring patients with a significant risk based on the screening for genetic testing and providing referrals for genetic counseling …

How About Noah?, India Worthy

Honors Projects

How About Noah? tries to bridge the gap between old picture books and today’s society by showing children the intersectionality between Noah’s identities as an African American and a member of the LGBTQ+ community. There are very few books that show this concept especially containing a strong female lead. Most stories are always about a boy wanting to be a girl instead of a girl who identifies as a male.

The Caution Behind Slovenia's Optimism, Kit Gillet

Documents

No abstract provided.

A Descriptive Study Of Religious Engagement And The Internalization Of Religious Beliefs Of 12th-Grade High-School Students Who Attended Kairos Retreats And Fourth-Day Follow-Up Activities As Juniors In Five U.S. Jesuit All-Male High Schools, Chris Miller

Doctoral Dissertations

The Kairos retreat is popular among upperclassmen at Jesuit high schools across the nation. Kairos, or “God’s Time,” is a religious retreat grounded in Christian incarnational theology and the overall theology of the retreat is love in action, and its participants are challenged to “live the fourth” day, which becomes the never-ending day. Even though there has been a trend across the nation in the first decade of the 21st century within Jesuit high schools to move the retreat to the junior level, there is no empirical research examining the spiritual effects on the individual student of moving the Kairos …

An Analysis Of The Local Control Funding Formula (Lcff) As An Instrument Of Recognition And Distribution Justice, Maeve Mulholland

Doctoral Dissertations

The 2013 Local Control Funding Formula (LCFF) is the first substantive finance reform measure in California specifically designed to provide additional funding to targeted student groups. The present study adopts Nancy Fraser’s (1995) theory of distribution and recognition justice to examine the allocation of resources under the new formula. Critical quantitative methodology is employed to investigate if students identified as being in poverty, English Learners (ELs), and African-American students, benefit under the LCFF. Pre- and post-LCFF comparisons of district level per pupil dollar allocations from LCFF, Other State, Federal, and Local resources are conducted. The findings show that post-2013, funding …

Efficient Meta Learning Via Minibatch Proximal Update, Pan Zhou, Xiao-Tong Yuan, Huan Xu, Shuicheng Yan, Jiashi Feng

Research Collection School Of Computing and Information Systems

We address the problem of meta-learning which learns a prior over hypothesis from a sample of meta-training tasks for fast adaptation on meta-testing tasks. A particularly simple yet successful paradigm for this research is model-agnostic meta-learning (MAML). Implementation and analysis of MAML, however, can be tricky; first-order approximation is usually adopted to avoid directly computing Hessian matrix but as a result the convergence and generalization guarantees remain largely mysterious for MAML. To remedy this deficiency, in this paper we propose a minibatch proximal update based meta-learning approach for learning to efficient hypothesis transfer. The principle is to learn a prior …

Chief Financial Officer Demographic Characteristics And Fraudulent Financial Reporting In China, Jinghui Sun, Pamela Kent, Baolei Qi, Jiwei Wang

Research Collection School Of Accountancy

We investigate whether management's cognitions, values and perceptions are associated with fraud for 18 863 firm-years for Chinese listed firms from 2000 to 2014. Demographic characteristics of the chief financial officer (CFO) are used as proxies for management's cognitions, values and perceptions. We find that fraudulent financial reporting is higher when CFOs are younger, male, and have lower education backgrounds. An analysis of inflated earnings, fictitious assets, material omissions and other material misstatements provide similar results, with the exception that CFOs with higher education levels are associated with more inflated earnings. Accounting and Finance

Ang Pag-Alon Kay Alunan Sa 'Sea Stories" : Ang Tula Bilang Teksto Ng Translokasyon, Trauma, At Paghilom, John Leimar C. Toledo

Journal Article

Isang taon pagkatapos malimbag ang koleksiyong “Sea Stories” sa Likhaan Journal 6, niragasa ng isang malaking daluyong ang buong Leyte at Samar. Sa kasagsagan ng trahedyang ito, nadamay ang makatang si Merlie Alunan. Bilang isa siya sa mga nasalanta ng bagyo, hindi malayong basahin na ang kanyang mga isinulat na tula sa koleksyong “Sea Stories” ay isa maaaring pagbabadya rin ng mga pangyayari sa hinaharap. Upang bigyan ng mas malalim na pagbasa, sinusuri sa pag-aaral na ito ang trauma na dulot ng mga natural na kalamidad sa koleksiyong “Sea Stories” ni Merlie Alunan. Tungkol sa iba’t ibang mukha ng trahedya …

Happy Toilet: A Social Analytics Approach To The Study Of Public Toilet Cleanliness, Eugene W. J. Choy, Winston M. K. Ho, Xiaohang Li, Ragini Verma, Li Jin Sim, Kyong Jin Shim

Research Collection School Of Computing and Information Systems

This study presents a social analytics approach to the study of public toilet cleanliness in Singapore. From popular social media platforms, our system automatically gathers and analyzes relevant public posts that mention about toilet cleanliness in highly frequented locations across the Singapore island - from busy shopping malls to food 'hawker' centers.

A Unified Variance-Reduced Accelerated Gradient Method For Convex Optimization, Guanghui Lan, Zhize Li, Yi Zhou

Research Collection School Of Computing and Information Systems

We propose a novel randomized incremental gradient algorithm, namely, VAriance-Reduced Accelerated Gradient (Varag), for finite-sum optimization. Equipped with a unified step-size policy that adjusts itself to the value of the conditional number, Varag exhibits the unified optimal rates of convergence for solving smooth convex finite-sum problems directly regardless of their strong convexity. Moreover, Varag is the first accelerated randomized incremental gradient method that benefits from the strong convexity of the data-fidelity term to achieve the optimal linear convergence. It also establishes an optimal linear rate of convergence for solving a wide class of problems only satisfying a certain error bound …

Twenty Years Of Open Source Software: From Skepticism To Mainstream, Gregorio Robles, Igor Steinmacher, Paul Adams, Christoph Treude

Research Collection School Of Computing and Information Systems

Open source software (OSS) has conquered the software world. You can see it nearly everywhere, from Internet infrastructure to mobile phones to the desktop. In addition to that, although many OSS practices were viewed with skepticism 20 years ago, several have become mainstream in software engineering today: from development tools such as Git to practices such as modern code reviews.

Improved Generalisation Bounds For Deep Learning Through L∞ Covering Numbers, Antoine Ledent, Yunwen Lei, Marius Kloft

Research Collection School Of Computing and Information Systems

Using proof techniques involving L∞ covering numbers, we show generalisation error bounds for deep learning with two main improvements over the state of the art. First, our bounds have no explicit dependence on the number of classes except for logarithmic factors. This holds even when formulating the bounds in terms of the L 2 norm of the weight matrices, while previous bounds exhibit at least a square-root dependence on the number of classes in this case. Second, we adapt the Rademacher analysis of DNNs to incorporate weight sharing—a task of fundamental theoretical importance which was previously attempted only under very …

Regulations And Brain Drain: Evidence From Wall Street Star Analysts’ Career Choices, Yuyan Guan, Congcong Li, Hai Lu, Franco Wong

Research Collection School Of Accountancy

The Global Settlement, along with related regulations in the early 2000s, prohibits the use of investment banking revenue to fund equity research and compensate equity analysts. We find that all-star analysts from investment banks are more likely to exit the profession or move to the buy side after the regulations. The departed star analysts’ earnings revisions and stock recommendations are more informative than those of the remaining analysts who followed the same companies. To the extent that star analysts are superior to their nonstar counterparts in terms of research ability and ability to inform the market, the exit of star …

The Information Disclosure Trilemma: Privacy, Attribution And Dependency, Ping Fan Ke

Research Collection School Of Computing and Information Systems

Information disclosure has been an important mechanism to increase transparency and welfare in various contexts, from rating a restaurant to whistleblowing the wrongdoing of government agencies. Yet, the author often needs to be sacrificed during information disclosure process – an anonymous disclosure will forgo the reputation and compensation whereas an identifiable disclosure will face the threat of retaliation. On the other hand, the adoption of privacy-enhancing technologies (PETs) lessens the tradeoff between privacy and attribution while introducing dependency and potential threats. This study will develop the desirable design principles and possible threats of an information disclosure system, and discuss how …

Online Content Consumption: Social Endorsements, Observational Learning And Word-Of-Mouth, Qian Tang, Tingting Song, Liangfei Qiu, Ashish Agarwal

Research Collection School Of Computing and Information Systems

The consumption of online content can occur through observational learning (OL) whereby consumers follow previous consumers’ choices or social endorsement (SE) wherein consumers receive content sharing from their social ties. As users consume content, they also generate post-consumption word-of-mouth (WOM) signals. OL, SE and WOM together shape the diffusion of the content. This study examines the drivers of SE and the effect of SE on content consumption and post-consumption WOM. In particular, we compare SE with OL. Using a random sample of 8,945 new videos posted on YouTube, we collected a multi-platform dataset consisting of data on video consumption and …

The Dynamic Impacts Of Online Healthcare Community On Physician Altruism: A Hidden Markov Model, Kai Luo, Qiu-Hong Wang, Hock Hai Teo

Research Collection School Of Computing and Information Systems

Physician altruism is not only a key foundation of modern medical professionalism, but also a critical component in the theoretical health economics study. There is considerable interest in understanding the impacts of contemporary healthcare technology on physician altruism. In this paper, we investigate the dynamic influence of multiple incentive mechanisms developed by an online healthcare community (OHC) on physician altruism. We model physician altruism as the degree of tendency to benefit the patients at the cost of oneself and focus on the incentive mechanisms that give physicians social and economic returns. The dynamics of physician altruism is characterized via a …

Examining The Theoretical Mechanisms Underlying Health Information Exchange Impact On Healthcare Outcomes: A Physician Agency Perspective, Fang Zhou, Qiu-Hong Wang, Hock Hai Teo

Research Collection School Of Computing and Information Systems

Health information exchange (HIE) is presumed to reduce medical costs by facilitating information sharing across healthcare providers. Existing studies focused on different medical costs or one set of costs, and resulted in mixed findings. We examine the effects of patient access to HIE on two of the most important medical costs of a hospitalization episode - test costs and medication costs - through a natural experiment and the discharge data of a hospital. Besides the negative direct effect of access to HIT on tests costs, we also find its positive spillover effect on medication costs, such that more patients having …

Guest Editorial: Special Issue On Software Engineering For Mobile Applications, Sebastiano Panichella, Fabio Palomba, David Lo, Meiyappan Nagappan

Research Collection School Of Computing and Information Systems

As Andreessen stated “software is eating the world” (Andreessen 2011). Most of todays industries, from engineering, manufacturing, logistics to health, are run on enterprise software applications and can efficiently automate the analysis and manipulation of several, heterogeneous types of data. One of the most prominent examples of such software diffusion is represented by the widespread adoption of mobile applications. Indeed, during the recent years, the Global App Economy experienced unprecedented growth, driven by the increasing usage of apps and by the greater adoption of mobile devices (e.g., smartphone) around the globe. This mobile application market, which is expected in few …

Simulation Model To Evaluate Effectiveness Of Queue Management Tool In Supermarket Retail Chain, Michelle L. F. Cheong, Yong Qing Chia

Research Collection School Of Computing and Information Systems

As part of its continuous process to improve operational excellence and productivity, a retail company in South East Asia trialed the usage of a commercial market retail tool, known as Queue Buster, to improve queue management processes in its physical stores. We employed Queuing Theory to determine the effectiveness of implementing the Queue Buster. Specifically, we constructed a queuing simulation model based on input parameters derived from queuing data collected at a pilot store. Three main performance metrics - Wait Time, System Time and System Length were measured fortwo different queue systems, with and without the implementation of Queue Buster. …

Self-Organizing Neural Networks For Universal Learning And Multimodal Memory Encoding, Ah-Hwee Tan, Budhitama Subagdja, Di Wang, Lei Meng

Research Collection School Of Computing and Information Systems

Learning and memory are two intertwined cognitive functions of the human brain. This paper shows how a family of biologically-inspired self-organizing neural networks, known as fusion Adaptive Resonance Theory (fusion ART), may provide a viable approach to realizing the learning and memory functions. Fusion ART extends the single-channel Adaptive Resonance Theory (ART) model to learn multimodal pattern associative mappings. As a natural extension of ART, various forms of fusion ART have been developed for a myriad of learning paradigms, ranging from unsupervised learning to supervised learning, semi-supervised learning, multimodal learning, reinforcement learning, and sequence learning. In addition, fusion ART models …

Salience-Aware Adaptive Resonance Theory For Large-Scale Sparse Data Clustering, Lei Meng, Ah-Hwee Tan, Chunyan Miao

Research Collection School Of Computing and Information Systems

Sparse data is known to pose challenges to cluster analysis, as the similarity between data tends to be ill-posed in the high-dimensional Hilbert space. Solutions in the literature typically extend either k-means or spectral clustering with additional steps on representation learning and/or feature weighting. However, adding these usually introduces new parameters and increases computational cost, thus inevitably lowering the robustness of these algorithms when handling massive ill-represented data. To alleviate these issues, this paper presents a class of self-organizing neural networks, called the salience-aware adaptive resonance theory (SA-ART) model. SA-ART extends Fuzzy ART with measures for cluster-wise salient feature modeling. …

Influence, Information And Team Outcomes In Large Scale Software Development, Subhajit Datta

Research Collection School Of Computing and Information Systems

It is widely perceived that the egalitarian ecosystems of large scale open source software development foster effective team outcomes. In this study, we question this conventional wisdom by examining whether and how the centralization of information and influence in a software development team relate to the quality of the team's work products. Analyzing data from more than a hundred real world projects that include development activities over close to a decade, involving 2000+ developers, who collectively resolve more than two hundred thousand defects through discussions covering more than six hundred thousand comments, we arrive at statistically significant evidence indicating that …

An Iot-Driven Smart Cafe Solution For Human Traffic Management, Maruthi Prithivirajan, Kyong Jin Shim

Research Collection School Of Computing and Information Systems

In this study, we present an IoT-driven solution for human traffic management in a corporate cafe. Using IoT sensors, our system monitors human traffic in a physical cafe located at a large international corporation located in Singapore. The backend system analyzes the streaming data from the sensors and provides insights useful to the cafe visitors as well as the cafe manager.

Mayan Languages Education And Technology: A Case Study Of Kaqchikel And K’Iche’ Educators In Guatemala, Hector Palala

Department of Teaching, Learning, and Teacher Education: Theses and Other Student Research

The purpose of this qualitative study was to describe and analyze how Mayan language instructors in the Faculty of Humanities at the Universidad de San Carlos de Guatemala use technology in their classrooms. In this research, indigenous professors shared their experiences as Kaqchikel and K’iche’ language instructors at the higher education level. A narrative qualitative case study was applied to discover the practices and insights of two Kaqchikel Mayan language instructor and one K’iche’ Mayan language instructor by addressing the following questions: (1) How do the professors use technology while teaching IDI3 Mayan Language in the Faculty of Humanities at …