Digital Commons Network^™

Minding The Gap: Improving Parental Involvement To Bridge Education Gaps Between American Indian And Non-Indian Students, Cassidy Wadsworth Skousen

Brigham Young University Education and Law Journal

No abstract provided.

Cell Specific Control Of The Pallidostriatal Pathway, Shubha Verma '19

Student Publications & Research

Parkinson’s Disease is a neurodegenerative disorder of the basal ganglia. The main cause for Parkinson’s Disease is the depletion of dopamine, a neurotransmitter. The basal ganglia contains four major nuclei: the substantia nigra, the subthalamic nucleus, the external globus pallidus, and the striatum. These nuclei communicate with each other by the use of neurons.

Classification Of Intensity-Modulated Proton Therapy Plans, Louise Gabrielle Lima '19, Alice Liu '19

Student Publications & Research

Proton Radiotherapy

Proton radiotherapy is a form of radiation treatment that uses energized protons to break DNA, leading to cell death and killing cancers.

2018 Recipient, Timothy Mou '20

Russian

No abstract provided.

2018 Recipient, Renzo Ledesma '20

Russian

No abstract provided.

2018 Recipient, Grace Federici '21

Russian

No abstract provided.

2018 Recipient, Emily Gonda '21

Russian

No abstract provided.

2018 Recipient, Isabella Huynh-Pham '20

Russian

No abstract provided.

2018 Recipient, Kristin Wolford '19

Russian

No abstract provided.

2018 Recipient, Mackenzie Valent '19

Russian

No abstract provided.

2018 Recipient, Rylie Meek '20

Russian

No abstract provided.

Efficient Blind Image Deblurring Using Nonparametric Regression And Local Pixel Clustering, Yicheng Kang, Partha Sarathi Mukherjee, Peihua Qiu

Mathematics Faculty Publications and Presentations

Blind image deblurring is a challenging ill-posed problem. It would have an infinite number of solutions even in cases when an observed image contains no noise. In reality, however, observed images almost always contain noise. The presence of noise would make the image deblurring problem even more challenging because the noise can cause numerical instability in many existing image deblurring procedures. In this paper, a novel blind image deblurring approach is proposed, which can remove both pointwise noise and spatial blur efficiently without imposing restrictive assumptions on either the point spread function (psf) or the true image. It even allows …

Shay Gap Soil Survey: Investigating The Suitability Of Soils And Landforms For Irrigated Agriculture In The Western West Canning Basin, Paul Galloway, Dennis Van Gool, Justin Laycock, Karen Holmes, David Rowe

Resource management technical reports

This report describes the soil and land resources of the Shay Gap study area (SA), which is south of Wallal Downs Station, in unallocated Crown land in the Shire of East Pilbara. It assesses the study area’s capability for three types of irrigated agriculture and examines land resources to ensure any future irrigation developments are sustainable and do not degrade the environment.

The Shay Gap SA lies within the West Canning Basin, an area of about 3500 square kilometres at the western margin of the onshore Canning Basin. The West Canning Basin has a substantial groundwater resource that provides fresh …

Mathematics Seminar | What’S Life? Nov. 1, Ohio University College Of Arts & Sciences

All Forum Articles

No abstract provided.

Algebra Seminar | Thang Vo Of Kent State, Nov. 28, Ohio University College Of Arts & Sciences

All Forum Articles

No abstract provided.

Math-Biology Seminar | Local Biased Polymerization Mediates Slow Axonal Transport Of Actin, Nov. 13, Ohio University College Of Arts & Sciences

All Forum Articles

No abstract provided.

Translating Discrete Estimates Into A Less Detailed Scale: An Optimal Approach, Thongchai Dumrongpokaphan, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

In many practical situations, we use estimates that experts make on a 0-to-n scale. For example, to estimate the quality of a lecturer, we ask each student to evaluate this quality by selecting an integer from 0 to n. Each such estimate may be subjective; so, to increase the estimates' reliability, it is desirable to combine several estimates of the corresponding quality. Sometimes, different estimators use slightly different scales: e.g., one estimator uses a scale from 0 to n+1, and another estimator uses a scale from 0 to n. In such situations, it is desirable to translate these estimates to …

Computing With Words -- When Results Do Not Depend On The Selection Of The Membership Function, Christopher W. Tovar, Carlos Cervantes, Mario Delgado, Stephanie Figueroa, Caleb Gillis, Daniel Gomez, Andres Llausas, Julio C. Lopez Molinar, Mariana Rogriguez, Alexander Wieczkowski, Francisco Zapata, Vladik Kreinovich

Departmental Technical Reports (CS)

Often, we need to transform natural-language expert knowledge into computer-understandable numerical form. One of the most successful ways to do it is to use fuzzy logic and membership functions. The problem is that membership functions are subjective. It is therefore desirable to look for cases when the results do not depend on this subjective choice. In this paper, after describing a known example of such a situation, we list several other examples where the results do not depend on the subjective choice of a membership function.

Should School Feel Like A Family: Lessons From Business Controversy As Interpreted By Decision Making Theory, Olga Kosheleva, Julian Viera Jr., Vladik Kreinovich

Departmental Technical Reports (CS)

Traditional business theory promoted the ideal of business as a family: everyone should feel good about each other, all employees should feel good working together towards a joint goal. Recently, however, researchers claim that the well-promoted ideal is unattainable, it is a ruse causing everyone to overwork. Instead, these researchers propose a non-emotional collaboration of adults working temporarily on a joint project. In this paper, we show that this new trend is not just based on anecdotal evidence, it actually has a solid foundation in decision theory. So maybe we should apply this new trend to teaching too - and …

Symmetries Are Important, Vladik Kreinovich

Departmental Technical Reports (CS)

This short article explains why symmetries are important, and how they influenced many research projects in which I participated.

From Gig Economy To Gig Education, Olga Kosheleva, Julian Viera Jr., Vladik Kreinovich

Departmental Technical Reports (CS)

Modern economy has benefited from gig economy idea, where, instead of hiring permanent employees, a company assigns each task to the person who is the most efficient in performing this task. This way, each task is performed in the best possible way -- by a person who is the most suited for this job. Why not extend this idea to education? Every student deserves the best possible teacher in every topic. So why not have a teacher who is the best in town in explaining quadratic equations teach quadratic equations to all the students from the town? In this paper, …

News Co-Occurrence, Attention Spillover, And Return Predictability, Li Guo, Lin Peng, Yubo Tao, Jun Tu

Research Collection School Of Economics

We examine the effect of investor attention spillover on stock return predictability. Using a novel measure, the News Network Triggered Attention index (NNTA), we find that NNTA negatively predicts market returns with a monthly in(out)-of-sample R-square of 5.97% (5.80%). In the cross-section, a long-short portfolio based on news co-occurrence generates a significant monthly alpha of 68 basis points. The results are robust to the inclusion of alternative attention proxies, sentiment measures, other news- and information-based predictors, across recession and expansion periods. We further validate the attention spillover effect by showing that news co-mentioning leads to greater increases in Google and …

A Mixed Method Analysis On The Relationship Between Engagement, Achievement, Satisfaction, And Syllabus Design In A Private Midwest University, Hannah Kohler

Dissertations

Background: Online learning is now at the forefront of education, making a college degree more accessible than ever before. With online enrollments at an all-time high, quality instruction is essential to the sustainability of the institution and ultimately affects student enrollment and retention. Research exists on the effectiveness of syllabus design and the use of inventories, but the gap in the existing literature lies in combining the two. Purpose: The purpose of this mixed methods study was to analyze possible relationships between syllabus design and student achievement, student engagement, student satisfaction, faculty instruction, and faculty satisfaction. Research Design: An Online …

Modeling Effects Of Ecological Factors On Evolution Of Polygenic Pesticide Resistance, C. V. Haridas, Brigitte Tenhumberg

School of Biological Sciences: Faculty Publications

Widespread use of pesticides has resulted in the evolution of resistance in many insect pests worldwide, limiting their use in pest control. Effective pest and resistance management practices require understanding of the genetics of resistance and the life history of the pest. Most models for pesticide resistance assume that resistance is monogenic, conferred by a single gene. However, resistance could evolve as a polygenic quantitative trait resulting from the action of several genes, especially when pesticide dose is low. Further, fitness of the pest could be density dependent and might depend upon abiotic factors such as temperature. It is not …

Sentiment Analysis Of Twitter Data With Hybrid Learning For Recommender Applications, Ketaki Gandhe, Aparna S. Varde, Xu Du

Department of Computer Science Faculty Scholarship and Creative Works

This paper proposes a sentiment analysis approach to extract sentiments of tweets based on their polarity and subjectivity, classify them and visualize results graphically. This helps to understand opinions of existing users that can be helpful in future recommendations. Our proposed approach entails a hybrid learning method for classification of tweets based on a Bayesian probabilistic method for sentence level models given partially labeled training data. For implementation, we use AWS to extract data from Twitter, store extracted data in MySQL databases and code Python scripts in order to implement the analyzer. The graphical models are viewed using IPython Notebook. …

Estimating The Elimination Feasibility In The 'End Game' Of Control Efforts For Parasites Subjected To Regular Mass Drug Administration: Methods And Their Application To Schistosomiasis, Arathi Arakala, Christopher M. Hoover, John M. Marshall, Susanne H. Sokolow, Guilio A. De Leo, Jason R. Rohr, Justin V. Remais, Manoj Gambhir

Integrative Biology Faculty and Staff Publications

Progress towards controlling and eliminating parasitic worms, including schistosomiasis, onchocerciasis, and lymphatic filariasis, is advancing rapidly as national governments, multinational NGOs, and pharmaceutical companies launch collaborative chemotherapeutic control campaigns. Critical questions remain regarding the potential for achieving elimination of these infections, and analytical methods can help to quickly estimate progress towards—and the probability of achieving—elimination over specific timeframes. Here, we propose the effective reproduction number, R_eff, as a proxy of elimination potential for sexually reproducing worms that are subject to poor mating success at very low abundance (positive density dependence, or Allee effects). R_eff is the …

Understanding Micro-Spatial Crime Patterns: A Comprehensive Trajectory Analysis Of Violent Crime At Street Segments In St. Louis, Mo, Aaron Levin

Dissertations

Spatial crime studies have existed for over a century, but the last 20 years have seen a turn in focus toward micro-spatial units such as street blocks and street segments. A particular subfield of this modern micro-spatial perspective is called crime trajectory analysis, which can isolate patterns of crime at small spatial units over time. Though several crime trajectory analyses have been conducted for coastal cities, the technique has never been applied to Midwestern data. This project fills that research gap by using the group-based trajectory modeling (GBTM) algorithm to uncover patterns of violent crime at street segments in St. …

Optimization Of Organizational Design, Dyin Ogawa, Guilherme Esmael, Manoel Burg, Patricia Soares

Graduate Student Works

This study aims to present new techniques that airlines can use in order to gain efficiency through human resources allocation, to keep up on track with the challenging and constant-moving environment of aviation industry. As the classical hierarquical structure that dominates most of the airlines today is not a prone environment for the changes proposed, researchers will explore human resources optimization using the optimization software Lindo, mixed with concepts and techniques of Agile Methodology, such as evaluation score and talent mapping to develop a model for the best match between employees’ and tasks of Avianca Brasil Project Department, considering productivity …

Iowa Waste Reduction Center Newsletter, November 2018, University Of Northern Iowa. Iowa Waste Reduction Center.

Iowa Waste Reduction Center Newsletter

Contents:

--- We're All In This Together
--- Five More Iowa Craft Breweries Certified at i-BEST
--- Paint Tracker- Free Online Program
--- Industry News

Development And Internal Validation Of An Aneurysm Rupture Probability Model Based On Patient Characteristics And Aneurysm Location, Morphology, And Hemodynamics, Felicitas J. Detmer, Bong Jae Chung, Fernando Mut, Martin Slawski, Farid Hamzei-Sichani, Christopher Putman, Carlos Jiménez, Juan R. Cebral

Department of Applied Mathematics and Statistics Faculty Scholarship and Creative Works

Purpose: Unruptured cerebral aneurysms pose a dilemma for physicians who need to weigh the risk of a devastating subarachnoid hemorrhage against the risk of surgery or endovascular treatment and their complications when deciding on a treatment strategy. A prediction model could potentially support such treatment decisions. The aim of this study was to develop and internally validate a model for aneurysm rupture based on hemodynamic and geometric parameters, aneurysm location, and patient gender and age. Methods: Cross-sectional data from 1061 patients were used for image-based computational fluid dynamics and shape characterization of 1631 aneurysms for training an aneurysm rupture probability …