Digital Commons Network^™

Multi-Model Implementation Of Evidence-Based Care In The Treatment Of Opioid Use Disorder In Pennsylvania, Sarah Kawasaki, Erica Francis, Sara Mills, Glenn Buchberger, Ruth Hogentogler, Jennifer Kraschnewski

Project ECHO Bibliography

Pennsylvania has the third highest rate of death due to drug overdose (44.3 per 100,000) in the country, which is significantly higher than the national rate. This continues to have drastic societal impact. Medication assisted treatment (MAT), which includes opioid agonist medications, is the gold standard in treatment for OUD; however, a significant gap remains between the number of individuals in need of treatment and the number of MAT providers. Penn State Health established a system to address the opioid epidemic through the Pennsylvania Coordinated Medication Assisted Treatment program utilizing lessons learned from existing validated models. Connecting primary care sites …

Expanding Treatment For Opioid Use Disorder In Publicly Funded Primary Care Clinics: Exploratory Evaluation Of The Nyc Health + Hospitals Buprenorphine Echo Program, Babak Tofighi, Noah Isaacs, Hannah Byrnes-Enoch, Rebecca Lakew, Joshua D Lee, Carolyn Berry, Daniel Schatz

Project ECHO Bibliography

Project Extension for Community Healthcare Outcomes (Project ECHO) offers an innovative and low-cost approach to enhancing the management of complex conditions among primary care providers. The NYC Health + Hospitals Buprenorphine ECHO (H + H ECHO) program offers primary care providers (PCPs) training and support in managing opioid use disorder (OUD). This exploratory study assessed the feasibility of a 16-session video conferencing platform led by Addiction Medicine experts in improving addiction knowledge, perceived self-efficacy, and buprenorphine prescribing among PCPs located in 17 publicly-funded ambulatory care clinics. A pre- and post-training survey assessed changes in knowledge and self-efficacy. Buprenorphine prescribing patterns …

Satisfaction-Aware Data Offloading In Surveillance Systems, Marcos Paul Torres

Electrical and Computer Engineering ETDs

In this thesis, exploiting Fully Autonomous Aerial Systems' (FAAS) and Mobile Edge Computing (MEC) servers' computing capabilities to introduce a novel data offloading framework to support the energy and time-efficient video processing in surveillance systems based on satisfaction games. A surveillance system is introduced consisting of Areas of Interest (AoIs), where a MEC server is associated with each AoI, and a FAAS is flying above the AoIs to support the IP cameras' computing demands. Each IP camera adopts a utility function capturing its Quality of Service (QoS) considering the experienced time and energy overhead to offload and process remotely or …

Study Of Distributed Versus Compressed Layouts For Physically Unclonable Functions, Joshua Trujillo

Electrical and Computer Engineering ETDs

Society continues to depend on electronics for everything from smart systems in our homes to cellphones and tablets, which are more powerful today than many desktop computers that are still in use [1]. With increased consumption of these electronic products comes an increase in problems, such as counterfeit integrated circuits being sold as genuine integrated circuits. This is just one of many problems that corporations and end users are having to deal with in this digital age.

Software security has been accepted as a problem by both the media and general public, but only recently has hardware security begun to …

Artificial Intelligence Empowered Uavs Data Offloading In Mobile Edge Computing, Nicholas Alexander Kemp

Electrical and Computer Engineering ETDs

The advances introduced by Unmanned Aerial Vehicles (UAVs) are manifold and have paved the path for the full integration of UAVs, as intelligent objects, into the Internet of Things (IoT). This paper brings artificial intelligence into the UAVs data offloading process in a multi-server Mobile Edge Computing (MEC) environment, by adopting principles and concepts from game theory and reinforcement learning. Initially, the autonomous MEC server selection for partial data offloading is performed by the UAVs, based on the theory of the stochastic learning automata. A non-cooperative game among the UAVs is then formulated to determine the UAVs' data to be …

A Rare Site Of Spread Of A Common Cancer, Sameen Khalid, Graziella Paniz, Aamer Abbass, Edgar Fischer, Gulshan Parasher, Denis Mccarthy

Pathology Research and Scholarship

Breast cancer is the most commonly diagnosed malignancy affecting women worldwide with estimated 252,710 new cases of invasive breast cancer in women in the USA in 2017. It is the second most prevalent cause of cancer-related death after lung cancer in females with an expected annual mortality rate of 16% [1]. Promotion of public awareness, screening programs, early diagnosis, intensive local treat- ment, and changes in chemotherapy regimens with endo- crine and targeted therapy account for a notable decrease in mortality. Nevertheless, these measures do not seem to have impacted the prognosis in patients with distant metastasis. Breast cancer has …

Coalition For Prisoners' Rights Newsletter, Vol 44-A, No. 11, Coalition For Prisoners' Rights

Coalition for Prisoners' Rights Newsletters

Accomplishments: Positive, Negative

Por la Independencia en Puerto Rico

Human Rights Pen Pals

The Jail

Stay of Execution

Mass Commutation

The Right to Vote

Vote No Rikers, Old or New

Using Uncertainty To Interpret Supervised Machine Learning Predictions, Michael C. Darling

Electrical and Computer Engineering ETDs

Traditionally, machine learning models are assessed using methods that estimate an average performance against samples drawn from a particular distribution. Examples include the use of cross-validation or hold0out to estimate classification error, F-score, precision, and recall.

While these measures provide valuable information, they do not tell us a model's certainty relative to particular regions of the input space. Typically there are regions where the model can differentiate the classes with certainty, and regions where the model is much less certain about its predictions.

In this dissertation we explore numerous approaches for quantifying uncertainty in the individual predictions made by supervised …

Inlp Newsletter, November 2019, Indigenous Nations Library Program

Monthly Newsletters

- Academic Service Hours

• University Libraries Spring 2019 Finals Prep and Finals
• CAPS Learning Strategies Workshops

- Upcoming Events

- UNM Social Potluck

- INLP Typewriter Challenge: Poetry

• Selected Poems

- UNM Native American Community Reading Project

How Do Trainers In Empirically Supported Treatments Decide What To Train?: An Investigation Of The Trainer’S Role In The Science-To-Service Pathway, David Pendleton Forman

Psychology ETDs

BACKGROUND: Despite significant progress in identifying empirically supported

elements of psychotherapy treatments over the last 20 years, the integration of these findings into clinical practice remains low. Practitioner training has been identified as a core component of successful translation of scientific findings into practice. Yet, little research has been conducted on the role of the trainer in the dissemination of empirically supported treatments (ESTs). This exploratory study investigated the practices and attitudes of trainers of an EST, Motivational Interviewing (MI), to identify potential factors related to successful and/or unsuccessful dissemination efforts. METHOD: A measure of Motivational Interviewing components (MIC) and …

From Cymatics To Sound Therapy: Their Role In Spirituality And Consciousness Research, Victor Christianto, Kasan Susilo, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

Sound is one of the types of waves that can be felt by the sense of hearing (ears). In physics, the definition of sound is something that is produced from objects that vibrate. Objects that produce sound are called sound sources. The sound source that vibrates will vibrate the molecules into the air around it. Sound is mechanical compression or longitudinal waves that propagate through the medium. This medium or intermediate agent can be liquid, solid, gas. So, sound waves can propagate for example in water, coal, or air. Most sounds are a combination of various vibratory signals composed of …

20191030_Hslic Welcomes Jonathan Pringle, Unknown User

HSLIC Blog Post

No abstract provided.

Essays On Nutrition And Cognitive Production In Developing Countries: Evidence From Ethiopia & Nepal, Mohammad Ali

Economics ETDs

This dissertation is comprised of five chapters. The first chapter provides an outline of the three separate research papers that are combined in this dissertation. It highlights the goals of each paper, discusses their importance to the field of economics, and outlines their contributions to the existing literature. The final chapter summarizes the main conclusions from the three research articles and points to how my future research trajectory is shaped by my dissertation research.

The second chapter explores the effect of current health (denoted by BMI for age scores) on cognitive test scores directly and indirectly, through time allocated to …

20191025_Hslic Faculty Published In New Book, Unknown User

HSLIC Blog Post

No abstract provided.

The Supreme Court And The Future Of Affirmative Action, Vinay Harpalani

Faculty Scholarship

On October 1, the U.S. District Court for the District of Massachusetts issued its much anticipated ruling in Students for Fair Admissions (SFFA) v. Harvard. The big question is whether the U.S. Supreme Court will grant certiorari, since SFFA is sure to appeal subsequently to the High Court. However, there are a few reasons why the Justices might deny certiorari.

Integrating Treatment For Co-Occurring Mental Health Conditions, Amy M Yule, John F Kelly

Project ECHO Bibliography

Given the high co-occurrence between alcohol use disorder (AUD) and mental health conditions (MHCs), and the increased morbidity associated with the presence of co-occurring disorders, it is important that co-occurring disorders be identified and both disorders addressed in integrated treatment. Tremendous heterogeneity exists among individuals with co-occurring conditions, and factors related to both AUD and MHCs, including symptom type and acuity, illness severity, the chronicity of symptoms, and recovery capital, should be considered when recommending treatment interventions. This article reviews the prevalence of co-occurring AUD and MHCs, screening tools to identify individuals with symptoms of AUD and MHCs, and subsequent …

Multimodal Composition And Digital Technology: Investigating The Out-Of-Class Experiences Of Students In A First-Year Composition Class, Jennifer Morgan Sims

English Language and Literature ETDs

This study explores how first-year students in a multimodal composition class use digital technology outside of class to complete their projects. The tendency in Composition studies to characterize students as “self-teaching” users of technology may obscure complex out-of-class experiences, so this study analyzes data from project reflections of 19 first-year students completing digital multimodal compositions to gain insight into their practices. Qualitative analysis reveals that the technical problems students encountered tended to be frequent and repetitive, and some problems were exacerbated by conflicts between the assignment requirements and the capacity of the technology required. Students tended to use trial-and-error methods …

20191023_Coffee & Coloring, Unknown User

HSLIC Blog Post

No abstract provided.

Perpetual Affordability Covenants: Can These Land Use Tools Solve The Affordable Housing Crisis?, Elizabeth Elia

Faculty Scholarship

Approximately 3.8 million privately-owned residential housing units in America today contain affordability covenants recorded in their chains of title. State and local agencies and the District of Columbia use these covenants to ensure that publicly-subsidized properties are actually used to provide affordable housing. With rents at all-time highs and stagnant wages, the affordable housing crisis has reached a fever pitch. House Democrats are proposing billions more in housing subsidy. To the extent those funds subsidize privately-owned housing development they, too, will be secured by affordability covenants. In response to this crisis, a new trend in high cost markets is to …

20191021_Open Access Week, Jonathan M. Pringle

HSLIC Blog Post

No abstract provided.

Regarding Docket No. Fr-6111-P-02, Hud’S Implementation Of The Fair Housing Act’S Disparate Impact Standard, Sonia Gipson Rankin, Alfred Mathewson, Melanie Moses, G. Matthew Fricke, Kathy Powers, Gabriel R. Sanchez, Christopher Moore, Elizabeth Bradley, Mirta Galesic, Joshua Garland

Faculty Scholarship

The is a Comment on the Department of Housing and Urban Development (HUD) Proposed Rule: FR-6111-P-02 HUD’s Implementation of the Fair Housing Act’s Disparate Impact Standard . This comment examines how algorithms in housing applications may be inherently biased against certain groups of people.

Their arguments against the proposed legislation:

1. To ensure that an algorithm does not have disparate impact, it is not enough to show that individual input factors are not “substitutes or close proxies” for protected characteristics.

2. It is impossible to audit an algorithm for bias without an adequate level of transparency or access to the …

Fourteenth Annual Himalayan Policy Research Conference (2019), Nepal Study Center

Himalayan Policy Research Conference

Proceedings and paper abstracts of the Himalayan Policy Research Conference (Twelfth Annual) from the Nepal Study Center. Thursday, October 17, 2019, Madison Concourse Hotel and Governor's Club, Preconference Venue of the 48th South Asian Conference at the University of Wisconsin-Madison.

Multi-Year Water Quality Data Reveal Highly Variable Timing And Magnitude Of Metabolism And Physicochemical Drivers In An Aridland River Network, Betsy Marie Summers

Civil Engineering ETDs

Streams and rivers process and transport carbon to downstream systems and are important components of global and regional carbon budgets. Ecosystem functions, including gross primary production (GPP) and ecosystem respiration (ER), can be used to improve understanding of carbon cycling and ecosystem health in lotic systems. Whole-stream metabolism (GPP and ER) has been studied extensively in headwater streams. However, we know less about the variability in GPP and ER in aridland rivers and tributary streams despite being globally abundant and vulnerable systems to changing climate. This dissertation explores temporal and spatial variation of GPP and ER in a montane stream …

University Of New Mexico Board Of Regents Minutes For October 15, 2019, University Of New Mexico Board Of Regents

Board of Regents Meeting Minutes

No abstract provided.

The Guardian Interviews Maryam Ahranjani: When Kids Are Threats: The Assessments Unfairly Targeting Students With Disabilities, Maryam Ahranjani, Ike Swetlitz

Faculty Scholarship

His story should motivate district officials to re-evaluate their use of threat assessments, said Maryam Ahranjani, a law professor at the University of New Mexico. As currently practiced, she said, the assessment process can unfairly ensnare many students. “It’s treating them as if they are criminals without them actually engaging in criminal activity.”

De-Neutrosophication Technique Of Pentagonal Neutrosophic Number And Application In Minimal Spanning Tree, Avishek Chakraborty, Shreyashree Mondal, Said Broumi

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Almost Contra Α-Continuous Functions, R. Dhavaseelan, Md. Hanif

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Cognitive Maps For Situation Analysis, Aasim Zafar, Mohd Anas

Neutrosophic Sets and Systems

No abstract provided.

Technique For Reducing Dimensionality Of Data In Decision-Making Utilizing Neutrosophic Soft Matrices, Abhishek Guleria, Rakesh Kumar Bajaj

Neutrosophic Sets and Systems

No abstract provided.

Direct And Semi-Direct Product Of Neutrosophic Extended Triplet Group, Moges Mekonnen Shalla, Necati Olgun

Neutrosophic Sets and Systems

No abstract provided.