Engineering Commons^™

Artificial Image Objects For Classification Of Breast Cancer Biomarkers With Transcriptome Sequencing Data And Convolutional Neural Network Algorithms, Xiangning Chen, Daniel G. Chen, Zhongming Zhao, Justin M. Balko, Jingchun Chen

School of Medicine Faculty Publications

Background: Transcriptome sequencing has been broadly available in clinical studies. However, it remains a challenge to utilize these data effectively for clinical applications due to the high dimension of the data and the highly correlated expression between individual genes. Methods: We proposed a method to transform RNA sequencing data into artificial image objects (AIOs) and applied convolutional neural network (CNN) algorithms to classify these AIOs. With the AIO technique, we considered each gene as a pixel in an image and its expression level as pixel intensity. Using the GSE96058 (n = 2976), GSE81538 (n = 405), and GSE163882 (n = …

Machine Learning Approaches For Fracture Risk Assessment: A Comparative Analysis Of Genomic And Phenotypic Data In 5130 Older Men, Qing Wu, Fatma Nasoz, Jongyun Jung, Bibek Bhattarai, Mira V. Han

Public Health Faculty Publications

The study aims were to develop fracture prediction models by using machine learning approaches and genomic data, as well as to identify the best modeling approach for fracture prediction. The genomic data of Osteoporotic Fractures in Men, cohort Study (n = 5130), were analyzed. After a comprehensive genotype imputation, genetic risk score (GRS) was calculated from 1103 associated Single Nucleotide Polymorphisms for each participant. Data were normalized and split into a training set (80%) and a validation set (20%) for analysis. Random forest, gradient boosting, neural network, and logistic regression were used to develop prediction models for major osteoporotic fractures …

In Vivo Biosynthesis Of Inorganic Nanomaterials Using Eukaryotes - A Review, Ashiqur Rahman, Julia Lin, Francisco E. Jaramillo, Dennis A. Bazylinski, Clayton Jeffryes, Si Amar Dahoumane

Life Sciences Faculty Research

Bionanotechnology, the use of biological resources to produce novel, valuable nanomaterials, has witnessed tremendous developments over the past two decades. This eco-friendly and sustainable approach enables the synthesis of numerous, diverse types of useful nanomaterials for many medical, commercial, and scientific applications. Countless reviews describing the biosynthesis of nanomaterials have been published. However, to the best of our knowledge, no review has been exclusively focused on the in vivo biosynthesis of inorganic nanomaterials. Therefore, the present review is dedicated to filling this gap by describing the many different facets of the in vivo biosynthesis of nanoparticles (NPs) using living eukaryotic …

Enhancement Of Viable Adipose-Derived Stem Cells In Lipoaspirate By Buffering Tumescent With Sodium Bicarbonate, Ashish Francis Md, Wei Z. Wang Md, Joshua J. Goldman Md, Xin-Hua Fang Mt, Shelley J. Williams Ms, Richard C. Baynosa Md; Facs

School of Medicine Faculty Publications

Background: Fat grafting is a growing field within plastic surgery. Adipose-derived stem cells (ASCs) and stromal vascular fracture (SVF) may have a role in fat graft survival. Our group previously demonstrated a detrimental effect on ASC survival by the lidocaine used in tumescent solution. Sodium bicarbonate (SB) buffers the acidity of lidocaine. The purpose of this study was to determine whether SB buffering is a practical method to reduce ASC and SVF apoptosis and necrosis seen with common lidocaine-containing tumescent solution. Methods: Human patients undergoing bilateral liposuction for any indication were included in this study. An internally controlled, split-body design …

Two-Stage Bagging Pruning For Reducing The Ensemble Size And Improving The Classification Performance, Hua Zhang, Yujie Song, Bo Jiang, Bi Chen, Guogen Shan

Environmental & Occupational Health Faculty Publications

Ensemble methods, such as the traditional bagging algorithm, can usually improve the performance of a single classifier. However, they usually require large storage space as well as relatively time-consuming predictions. Many approaches were developed to reduce the ensemble size and improve the classification performance by pruning the traditional bagging algorithms. In this article, we proposed a two-stage strategy to prune the traditional bagging algorithm by combining two simple approaches: accuracy-based pruning (AP) and distance-based pruning (DP). These two methods, as well as their two combinations, “AP+DP” and “DP+AP” as the two-stage pruning strategy, were all examined. Comparing with the single …

Biomedical Informatics Applications For Precision Management Of Neurodegenerative Diseases, Justin B. Miller, Guogen Shan, Joseph Lombardo, Gustavo Jimenez-Maggoria

Public Health Faculty Publications

Modern medicine is in the midst of a revolution driven by “big data,” rapidly advancing computing power, and broader integration of technology into healthcare. Highly detailed and individualized profiles of both health and disease states are now possible, including biomarkers, genomic profiles, cognitive and behavioral phenotypes, high-frequency assessments, and medical imaging. Although these data are incredibly complex, they can potentially be used to understand multi-determinant causal relationships, elucidate modifiable factors, and ultimately customize treatments based on individual parameters. Especially for neurodegenerative diseases, where an effective therapeutic agent has yet to be discovered, there remains a critical need for an interdisciplinary …

Higher Education Capacity Building In Water Resources Engineering And Management To Support Achieving The Sustainable Development Goal For Water In Pakistan, Steven J. Burian, Mercedes Ward, Tariq Banuri, M. Aslam Chaudhry, Sajjad Ahmad, Bakhshal Lashari, Rasool Bux Mahar, Davey Stevenson, Jim Vanderslice, Kamran Ansari, Munir Babar, Abdul Latif Qureshi

Civil and Environmental Engineering and Construction Faculty Research

Achieving the Sustainable Development Goals requires a multi‐pronged approach, with a key element being the development of a trained Community of Practice to sustain the advances in the relevant sectors. The engagement of higher education as a catalyst in the development and capacity building of the next generation of professionals and citizens comprising the Community of Practice is essential to meet the challenges of poverty, climate change, and clean water and to sustain those advances past 2030. This paper describes a capacity building program funded by the United States Agency for International Development to partner the University of Utah, in …

Unlv Title Iii Aanapisi & Mcnair Scholars Institute Research Journal, Nir Herscovici, Joyce Hsu, Matthew Khumnark, Joy Lamug, Jeong Lim Lee, Kendall Lyons, Andrea Mandril, Niroshini Moodley, Eric Ng, Timothy Ogburn, Andrew A. Ortiz, Emily Khanh Pham, Nha Trang Vivian Sam, Devlynn Scarpati, Olivia Tsang, Termaine Antonio Turner Ii, Pang Kou Vang, Kanisha Wilson, Shannon Zayas, Claudia Chiang-Lopez, Victoria Copeland, Andrea Darby, Bridgett Giordmaina, Briceida Hernandez-Toledo, Mark Larubio, Ana Lesquives, Yessenia Madrigal, Summer Millwood, Angel Mims, Blaine Pennock, Katie Randolph, Amber K. Stephens, Sarah Werman, Eben-Ezer Arias-Garcia, Ernesto H. Bedoy, Royale Cannon, Irma De Santiago, Lorraine Louise K. Francisco, Imani A. Gayden, Jeffrey Gonzalez, Isaiah Shornell Henry, Ashley C. Lee, Marielle Leo, Elizabeth Ochoa, Bernajane Palisoc, Sean Tanzey, Howard Yanxon

McNair Journal

Journal articles based on research conducted by undergraduate students in the AANAPISI and McNair Scholars Programs

Table of Contents

About AANAPISI

Biography of Dr. Ronald E. McNair

Statements

Dr. Len Jessup, UNLV President

Dr. Juanita P. Fain, Vice President for Student Affairs

Dr. William W. Sullivan, Associate Vice President for Retention and Outreach

Mr. Keith Rogers, Deputy Executive Director of the Center for Academic Enrichment and Outreach

Title III AANAPISI and McNair Scholars Institute Staff

Ms. Terri Bernstein, Director for College Programs

Dr. Matthew Della Sala, Assistant Director for Undergraduate Research

Ambulatory Extracorporeal Arterioveous Co2 Removal Via Subclavian Vessels, Alejandra Macias, Alvaro Rojas-Pena

McNair Poster Presentations

Lung transplantation is the last recourse for patients with severe respiratory failure. However, transplantable lungs do not keep up with the demand, and 15.4% of patients die awaiting transplant. An alternative therapy is extracorporeal life support (ECLS), which uses a pump and an oxygenator to serve as a bridge to transplant. However, this technology limits ambulation and requires ICU care. This novel study implements pumpless arteriovenous (AV) ECLS technology to remove CO2 via the subclavian vessels, providing respiratory support and hypercapnia (excessive CO2 retention) sympton relief for patients while allowing ambulation.

Hispanic Construction Workers And Assertiveness Training, Pramen Shrestha, Nancy Menzel

Nursing Faculty Publications

BACKGROUND: Hispanic (Latino) construction workers experience disparities in occupational death and injury rates in the United States. The cultural value of respect for those in authority may hinder these workers from requesting safe working conditions from supervisors.

OBJECTIVE: To evaluate whether Hispanic construction workers in Las Vegas, Nevada found assertiveness training more useful than non-Hispanic trainees and whether or not they practiced this behavior at work after the training.

METHODS: An assertiveness training simulation was part of fall prevention classes offered to area construction workers. Eight weeks after the training, participants were interviewed by telephone about class topics they found …

Assessing The Therapeutic Effect Of 630 Nm Light-Emitting Diodes Irradiation On The Recovery Of Exercise-Induced Hand Muscle Fatigue With Surface Electromyogram, Dandan Yang, Xiaoying Wu, Wensheng Hou, Xiaolin Zheng, Jun Zheng, Yingtao Jiang

Electrical & Computer Engineering Faculty Research

This paper aims to investigate the effect of light emitting diode therapy (LEDT) on exercise-induced hand muscle fatigue by measuring the surface electromyography (sEMG) of flexor digitorum superficialis. Ten healthy volunteers were randomly placed in the equal sized LEDT group and control group. All subjects performed a sustained fatiguing isometric contraction with the combination of four fingertips except thumb at 30% of maximal voluntary contraction (MVC) until exhaustion. The active LEDT or an identical passive rest therapy was then applied to flexor digitorum superficialis. Each subject was required to perform a re-fatigue task immediately after therapy which was the same …

Condition Reporting And Resolution, J. M. Pesek, S. A. Wade

Publications (YM)

This procedure facilitates a safety conscious work environment by providing a mechanism for employees to make management aware of existing and potential conditions. This procedure establishes the responsibilities and process to be used to ensure that conditions related to, but not limited to, the environment, safety, health, waste isolation, operations, security, or quality of items and services associated with Office of Civilian Radioactive Waste Management (OCRWM) work activities are promptly identified, controlled, evaluated, and corrected as soon as practical. This procedure describes the process flow, controls, interfaces, and requirements for condition identification and resolution. This includes adverse conditions as well …

Inside Unlv, Holly Ivy De Vore, Carol C. Harter, Stuart Mann

Inside UNLV

No abstract provided.

Inside Unlv, Holly Ivy De Vore, Caryn Key, Carol C. Harter, Richard Morgan

Inside UNLV

No abstract provided.

Inside Unlv, Gian Galassi, Carol C. Harter, Jeffrey Koep

Inside UNLV

No abstract provided.

Inside Unlv, Gian Galassi, Jennifer Vaughan, Carol C. Harter, Richard Flaherty, Rebecca Mills

Inside UNLV

No abstract provided.

Inside Unlv, Gian Galassi, Cayrn Key, Carol C. Harter, Patrick Ferrillo

Inside UNLV

No abstract provided.

Inside Unlv, Cate Weeks, Diane Russell, Carol C. Harter, Martin Watson

Inside UNLV

No abstract provided.

Inside Unlv, Gian Galassi, Carol C. Harter, Gene Hall

Inside UNLV

No abstract provided.

Inside Unlv, Kevin Force, Gian Galassi, Carol C. Harter, Stuart Mann

Inside UNLV

No abstract provided.

Inside Unlv, Gian Galassi, Richard Morgan, Carol C. Harter

Inside UNLV

No abstract provided.

Inside Unlv, Richard Jensen, Donna Mcaleer, Jennifer Vaughan, Cate Weeks, Carol C. Harter, Jeffrey Koep

Inside UNLV

No abstract provided.