Digital Commons Network^™

Students' Understanding Of The Concepts Involved In One-Sample Hypothesis Testing, Harrison Stalvey, Annie Burns-Childers, Darryl Chamberlain, Aubrey Kemp, Leslie Meadows, Draga Vidakovic

Publications

Hypothesis testing is a prevalent method of inference used to test a claim about a population parameter based on sample data, and it is a central concept in many introductory statistics courses. At the same time, the use of hypothesis testing to interpret experimental data has raised concerns due to common misunderstandings by both scientists and students. With statistics education reform on the rise, as well as an increasing number of students enrolling in introductory statistics courses each year, there is a need for research to investigate students’ understanding of hypothesis testing. In this study we used APOS Theory to …

Traditional Vs Gesture Based Uav Control, Sam J. Holley, Brian Sanders, Dennis Vincenzi, Yuzhong Shen

Publications

Abstract. The purpose of this investigation was to assess user preferences for controlling an autonomous system. A comparison using a virtual environment (VE) was made between a joystick based, game controller and a gesture-based system using the leap motion controller. Command functions included basic flight maneuvers and switching between the operator and drone view. Comparisons were made between the control approaches using a representative quadcopter drone. The VE was designed to minimize the cognitive loading and focus on the flight control. It is a physics-based flight simulator built in Unity3D. Participants first spend time familiarizing themselves with the basic controls …

Cost-Effectiveness In Animal Health, Govind Persad

Publications

This chapter evaluates the ethical issues that using cost-effectiveness considerations to set animal health priorities might present, and its conclusions are cautiously optimistic. While using cost-effectiveness calculations in animal health is not without ethical pitfalls, these calculations offer a pathway toward more rigorous priority-setting efforts that allow money spent on animal well-being to do more good. Although assessing quality of life for animals may be more challenging than in humans, implementing prioritization based on cost-effectiveness is less ethically fraught.

Words, Wolves, And Show Dogs, Zachary Schmook

Publications

No abstract provided.

Taking Data, Michael C. Pollack

Articles

Technological development has created new forms of information, altered expectations of privacy, and given law enforcement more tools to examine that information and intrude on that privacy. One crucial facet of these changes involves internet service providers (ISPs): as people expose more of their lives to their ISPs—all the websites they visit, people they communicate with, emails they send, files they store, and more—law enforcement efforts to access that data become more and more common. But scholars and policymakers alike recognize that the existing statutory frameworks governing those efforts are based on obsolete technology and strike balances that are difficult …

Determination Of Personalized Asthma Triggers From Multimodal Sensing And A Mobile App: Observational Study, Revathy Venkataramanan, Krishnaprasad Thirunarayan, Utkarshani Jaimini, Dipesh Kadariya, Hong Yung Yip, Maninder Kalra, Amit Sheth

Publications

Background: Asthma is a chronic pulmonary disease with multiple triggers. It can be managed by strict adherence to an asthma care plan and by avoiding these triggers. Clinicians cannot continuously monitor their patients’ environment and their adherence to an asthma care plan, which poses a significant challenge for asthma management.

Objective: In this study, pediatric patients were continuously monitored using low-cost sensors to collect asthma-relevant information. The objective of this study was to assess whether kHealth kit, which contains low-cost sensors, can identify personalized triggers and provide actionable insights to clinicians for the development of a tailored asthma care plan. …

Identifying Key Topics Bearing Negative Sentiment On Twitter: Insights Concerning The 2015-2016 Zika Epidemic, Ravali Mamidi, Michele Miller, Tanvi Banerjee, William Romine, Amit Sheth

Publications

Background To understand the public sentiment regarding the Zika virus, social media can be leveraged to understand how positive, negative, and neutral sentiments are expressed in society. Specifically, understanding the characteristics of negative sentiment could help inform federal disease control agencies’ efforts to disseminate relevant information to the public about Zika-related issues.

Objective The purpose of this study was to analyze the public sentiment concerning Zika using posts on Twitter and determine the qualitative characteristics of positive, negative, and neutral sentiments expressed.

Methods Machine learning techniques and algorithms were used to analyze the sentiment of tweets concerning Zika. A supervised …

Armed Conflict At The Threshold, Deborah Pearlstein

Articles

Seventeen years into the United States’ engagement in what America has controversially understood as a global, non-international armed conflict against a shifting set of terrorist groups, a growing array of scholars has called for a reassessment of the significance of the “armed conflict” classification under international humanitarian law (IHL). The existence of an “armed conflict” has long been understood as a proxy on/off switch of inescapable importance. When an “armed conflict” exists, lethal targeting—without regard to particular self-defensive need or immediacy of threat—is permitted as a first resort. When an “armed conflict” does not exist, it is not. Challenging the …

Dna Methylation Of The Clusterin Promoter: Associations With Alzheimer’S Disease Risk And Related Phenotypes, Madeline Peretti

Theses: Doctorates and Masters

Background

In 2017 approximately 50 million people worldwide were living with dementia. With Alzheimer’s disease (AD), accounting for 50-70% of dementia cases making this debilitating disease, with no current effective prevention, treatment or cure, a critical healthcare concern. Genome wide association studies (GWAS) have identified a number of risk genes for late onset AD (LOAD); Apolipoprotein E (APOE), a gene involved in the cholesterol/lipid pathway is considered the gene with the greatest risk. The third most associated AD risk gene is Clusterin (CLU), is also involved in the cholesterol/lipid pathway. CLU has been implicated in both …

The Integrity Of Our Convictions: Holding Stakeholders Accountable In An Era Of Criminal Justice Reform, Barry Scheck

Articles

The article argues for the implementation of systemic mechanisms to ensure accountability and transparency among criminal justice stakeholders to move away from a "win-at-all-costs" mentality. It proposes a transition toward a "just culture" that prioritizes learning from error and forward-looking accountability through structural reforms in discovery, misconduct tracking, and indigent defense.

To The Survivors Of Childhood Sexual Abuse- Whenever You’Re Ready: Eliminating The Criminal Statute Of Limitations On Childhood Sexual Assault Crimes In Light Of Pennsylvania’S Catholic Dioceses Grand Jury Investigation, Rebecca Schultz

Law Student Publications

It is exceptionally difficult for many survivors of sexual assault to come forward to tell their story. This is particularly the case where the perpetrator is someone in a position of power who the survivor trusted. The statute of limitations for cases of childhood sexual abuse can serve as another barrier preventing survivors from coming forward because it prevents any semblance of justice for those individuals. This is currently most evident in states like Pennsylvania that still impose a statute of limitations on crimes of sexually assaulting children. Pennsylvania is reeling from its most recent Catholic clergy sex abuse scandal, …

Obtaining And Enforcing A Security Interest In Local Currency Under Article 9 Of The Ucc, Marina C. Leary

Law Student Publications

Community currency is known by many names including complementary currency, alternative currency, and parallel currency. Community currency operates alongside an official or national currency (e.g., dollars or euros) with the purpose of circulating within a small geographic area to facilitate the sale of goods and services. In other words, community currency refers to a privatized form of currency that is not backed by a government entity. With the increased use of community currency, it has the potential to serve as collateral for a security interest under the Article 9 of the Uniform Commercial Code. Although there are several types of …

Rethinking Consumer Protection: Escaping Death By Regulation, Thomas L. Tacker

Publications

This book is designed to appeal to anyone who is at all interested in topics related to making life better and safer—for all us consumers. Our current approach to consumer protection is extremely flawed; sometimes costing lives rather than saving them. There are better ways to protect ourselves and the people we love.

Learning From Failure: Errorful Generation Improves Memory For Items, Not Associations, Tina Seabrooke, Timothy J. Hollins, Christopher Kent, Andy J. Wills, Chris J. Mitchell

School of Psychology

No abstract provided.

Thinking Outside Of The Box Ii: Disrupting The Cognitive Map., Matthew G. Buckley, Alastair D. Smith, Mark Haselgrove

School of Psychology

A number of influential spatial learning theories posit that organisms encode a viewpoint independent (i.e. allocentric) representation of the global boundary shape of their environment in order to support spatial reorientation and place learning. In contrast to the trial and error learning mechanisms that support domain-general processes, a representation of the global-shape of the environment is thought to be encoded automatically as part of a cognitive map, and without interference from other spatial cues. To date, however, this core theoretical assumption has not been appropriately examined. This is because previous attempts to address this question have failed to employ tasks …

Linking Repetition Priming, Recognition, And Source Memory: A Single-System Signal-Detection Account, Nicholas Lange, Christopher J. Berry, Timothy J. Hollins

School of Psychology

No abstract provided.

Numerical Modelling Of Responses Of Offshore Wave Energy Converters In Extreme Waves, Pierre-Henri Musiedlak

School of Engineering, Computing and Mathematics Theses

Wave Energy is a promising sector for sustainable low-carbon energy production. Despite the effort put in the last decade, concerning problems remained unsolved. Numerical modelling can play a key role in the assessment of extreme responses necessary to the understanding of Wave Energy Converter (WEC) capacity to survive extreme conditions. However, high-fidelity codes are too time-consuming for industries, while codes of lower fidelity are based on major physical assumptions inducing concerning uncertainties. Therefore, the present study - sponsored jointly by DNV GL and the University of Plymouth - develops an hybrid model coupling the low-fidelity model WaveDyn, with a Computational …

Smoothed Particle Hydrodynamics Modelling Of The Impact Of A Flat Plate Upon An Aerated Water Surface, Hassan Muhammad Sdiq

School of Engineering, Computing and Mathematics Theses

Smoothed Particle Hydrodynamics (SPH) is a particle-based method for solving Navier-Stokes and similar equations and is well-suited to problems where the computational domain becomes highly deformed. This study will describe in detail SPH simulations of various single- and multiphase flows with free surfaces and interactions with structures and solid surfaces. All 2D and 3D implementations have been compared with other numerical and experimental results. By adoption of multiphase and 3D models the computational requirements rise due to the increased number of particles. The fact that large numbers of particles are required in the simulations means that a parallelised version of …

Human Electroencephalogram Based Biomarkers For Detection Of Alzheimer’S Disease, Ali H. Husseen Al-Nuaimi

School of Engineering, Computing and Mathematics Theses

Alzheimer’s disease (AD) is a progressive disorder that affects cognitive brain functions and develops many years before there are any clinical manifestations. A biomarker that provides a quantitative measure of changes in the brain in the early stages of AD would therefore be useful for early diagnosis. However, this would involve dealing with large numbers of people because up to 50% of dementia sufferers do not receive a formal diagnosis. Thus, there is a need for accurate, low-cost, robust, and easy to use biomarkers that can be used to detect AD in its early stages. Recent guidelines promote the use …

The Macaque Anterior Cingulate Cortex Translates Counterfactual Choice Value Into Actual Behavioral Change, Elsa F. Fouragnan, Bolton K.H. Chau, Davide Folloni, Nils Kolling, Lennart Verhagen, Miriam Klein-Flügge, Lev Tankelevitch, Georgios K. Papageorgiou, Jean Francois Aubry, Jerome Sallet, Matthew F.S. Rushworth

School of Psychology

No abstract provided.

Natural Environments And Craving: The Mediating Role Of Negative Affect, Leanne Martin, Sabine Pahl, Mathew P. White, Jon May

School of Psychology

No abstract provided.

Neural Correlates Of Weighted Reward Prediction Error During Reinforcement Learning Classify Response To Cognitive Behavioral Therapy In Depression, Filippo Queirazza, Elsa Fouragnan, J. Douglas Steele, Jonathan Cavanagh, Marios G. Philiastides

School of Psychology

While cognitive behavioral therapy (CBT) is an effective treatment for major depressive disorder, only up to 45% of depressed patients will respond to it. At present, there is no clinically viable neuroimaging predictor of CBT response. Notably, the lack of a mechanistic understanding of treatment response has hindered identification of predictive biomarkers. To obtain mechanistically meaningful fMRI predictors of CBT response, we capitalize on pretreatment neural activity encoding a weighted reward prediction error (RPE), which is implicated in the acquisition and processing of feedback information during probabilistic learning. Using a conventional mass-univariate fMRI analysis, we demonstrate that, at the group …

Dissociation Between Private And Social Counterfactual Value Signals Following Ventromedial Prefrontal Cortex Damage, Nadège Bault, Pellegrino G Di, Martina Puppi, Gaëlle Opolczynski, Alessia Monti, Davide Braghittoni, Florence Thibaut, Aldo Rustichini, Giorgio Coricelli

School of Psychology

No abstract provided.

Stop Stereotyping, Johanna K. Falbén, Juliana L. Olivier, Marius Golubickis, Nerissa S.P. Ho, Linn M. Persson, Dimitra Tsamadi, Eleni Marinopoulou, Bianca Bianciardi, William A. Cunningham, C. Neil Macrae

School of Psychology

No abstract provided.

Are Some Natural Environments More Psychologically Beneficial Than Others? The Importance Of Type And Quality On Connectedness To Nature And Psychological Restoration, Kayleigh J. Wyles, Mathew P. White, Caroline Hattam, Sabine Pahl, Haney King, Melanie Austen

School of Psychology

No abstract provided.

Brief Group‐Based Acceptance And Commitment Therapy For Stroke Survivors, Sarah Majumdar, Reg Morris

School of Psychology

ObjectivesTo date, the efficacy of acceptance and commitment therapy (ACT) for stroke survivors has not been established. The aim of this study was to evaluate the efficacy of group‐based ACT for stroke survivors in comparison with treatment as usual (TAU) controls.MethodsFifty‐three participants were randomly assigned either to group‐based ACT (ACTivate Your Life after Stroke) or to a TAU control group (60% male; mean age: 63 years). The ACT intervention consisted of four weekly 2‐hr didactic group sessions. Therapeutic effects were measured by examining changes in depression (primary outcome), anxiety, hope, health‐related quality of life, self‐rated health status, and mental well‐being. …

Facial Identification For Digital Forensic, Hiba Al-Kawaz

School of Engineering, Computing and Mathematics Theses

Forensic facial recognition has become an essential requirement in criminal investigations as a result of the emergence of electronic devices, such as mobile phones and computers, and the huge volume of existing content. Forensic facial recognition goes beyond facial recognition in that it deals with facial images under unconstrained and non-ideal conditions, such as low image resolution, varying facial orientation, poor illumination, a wide range of facial expressions, and the presence of accessories. In addition, digital forensic challenges do not only concern identifying an individual but also include understanding the context, acknowledging the relationships between individuals, tracking, and numbers of …

Computational Model Of Negotiation Skills In Virtual Artificial Agents, Daniela Pacella

School of Engineering, Computing and Mathematics Theses

Negotiation skills represent crucial abilities for engaging in effective social interactions in formal and informal settings. Serious games, intelligent systems and virtual agents can provide solid tools upon which one-to-one training and assessment can be reliably made available. The aim of the present work is to fill the gap between the recent growing interest towards soft skills, and the lack of a robust and modern methodology for supporting their investigation. A computational model for the development of Enact, a 3D virtual intelligent platform for training and testing negotiation skills, will be presented. The serious game allows users to interact with …

When Stakeholder Pressure Drives The Circular Economy: Measuring The Mediating Role Of Innovation Capabilities, J Suresh, S Kumar Mangla, L Sunil, S Kusi-Sarpong

Plymouth Business School

Purpose The purpose of this paper is to explore the impact of stakeholder pressures on firm’s circular economy (CE) initiatives. The organizational responses are quite heterogeneous even when the firms face similar pressure. The authors have tried to explain this heterogeneity by using innovative capability as mediating variables. Design/methodology/approach Empirical survey data from Indian manufacturing firms are obtained to test the proposed hypotheses. The hypotheses are grounded in resource-based view of the firm. The authors used structural equation modeling approach with maximum likelihood methods of approximation. Findings The results indicate that exploratory innovation positively influences the firms to adopt CE …

Cycles Of Obviousness, Ryan T. Holte, Ted Sichelman

Akron Law Faculty Publications

In 2007, the Supreme Court’s decision in KSR v. Teleflex echoed earlier vicissitudes in the history of patent law when the Court considerably expanded the circumstances in which a patent could be found obvious. Here, we conduct the first comprehensive empirical study of pre- and post-KSR district court and Federal Circuit decisions. Not surprisingly, following KSR, we find a substantial increase in findings of obviousness as well as a major shift in doctrine supporting these decisions. Although we find that the Federal Circuit substantially altered course following KSR, its shift was less robust than in the district courts. We speculate …