Research and Creative Activity, July 01, 2021-June 30, 2022: Major Sponsored Programs and Faculty Accomplishments in Research and Creative Activity, University of Nebraska-Lincoln

Foreword by Bob Wilhelm, Vice Chancellor for Research and Economic Development: This booklet highlights successes in research, scholarship and creative activity by University of Nebraska–Lincoln faculty during the fiscal year running July 1, 2021, to June 30, 2022. It lists investigators, project titles and funding sources on major grants and sponsored awards that were active during the year; fellowships and other recognitions and honors bestowed on our faculty; books, chapters and creative literature published by faculty; performances, exhibitions and other examples of creative activity; patents and licensing agreements; and conference presentations. In recognition of the important role faculty play in the undergraduate experience at Nebraska, this booklet notes the students and mentors participating in the Undergraduate Creative Activities and Research Experience (UCARE) and the First-Year Research Experience (FYRE) programs. Increasing impact through research and creative activity is one of the six core aims of the N2025 strategic plan. A few measurements of progress made this year: • UNL achieved a record $321 million in total research expenditures in FY 2021, a 31• Our faculty earned 1,560 sponsored research awards in FY 2021. N2025 aims also include contributing to economic growth throughout the state and broadening Nebraska’s engagement in community, industry and global partnerships. These are some measures of our efforts to commercialize university-sponsored research and partner with industry: • Nebraska Innovation Campus created 2,127 jobs statewide. The cumulative impact of NIC investments totals$328.9 million. • Industry sponsorship supported $19.8 million in research expenditures. • NUtech Ventures brought in$6.36 million in licensing income. I want to thank the Nebraska Research community for its willingness to collaborate, mentor and redefine success in research and creative activity. Your leadership is paving the way for future growth and providing an unparalleled educational experience. At Nebraska, it is the people who make the place. Because of your dedication and expertise, Nebraska is positioned to solve some of the world’s most wicked problems. I am impressed by your commitment to the Grand Challenges initiative, a strategic investment of up to $40 million over four years for projects in the high-impact areas of anti-racism and racial equity; climate resilience; early childhood education and development; health equity; quantum science and engineering; science and technology literacy for society; and sustainable food and water security. More than 180 faculty, staff and students are contributing to projects funded in Year 1. Another N2025 aim is to create a climate that emphasizes, prioritizes and expands inclusive excellence and diversity. In the Office of Research and Economic Development, we continue to seek ways to remove barriers to success and ensure all Nebraska researchers have the resources they need to thrive. Thank you for the feedback you’ve thoughtfully provided. I am pleased to present this record of accomplishments. Contents Awards of$5 Million or More Awards of $1 Million to$4,999,999 Awards of $250,000 to$999,999 Early Career Awards Arts and Humanities Awards of $250,000 or More Arts and Humanities Awards of$50,000 to $249,999 Arts and Humanities Awards of$5,000 to $49,999 Patents License Agreements National Science Foundation Innovation Corps Teams Creative Activity Books Recognitions and Honors Journal Articles Conference Presentations UCARE and FYRE Projects Glossar

Effects of errorless learning on the acquisition of velopharyngeal movement control

Session 1pSC - Speech Communication: Cross-Linguistic Studies of Speech Sound Learning of the Languages of Hong Kong (Poster Session)The implicit motor learning literature suggests a benefit for learning if errors are minimized during practice. This study investigated whether the same principle holds for learning velopharyngeal movement control. Normal speaking participants learned to produce hypernasal speech in either an errorless learning condition (in which the possibility for errors was limited) or an errorful learning condition (in which the possibility for errors was not limited). Nasality level of the participants’ speech was measured by nasometer and reflected by nasalance scores (in %). Errorless learners practiced producing hypernasal speech with a threshold nasalance score of 10% at the beginning, which gradually increased to a threshold of 50% at the end. The same set of threshold targets were presented to errorful learners but in a reversed order. Errors were defined by the proportion of speech with a nasalance score below the threshold. The results showed that, relative to errorful learners, errorless learners displayed fewer errors (50.7% vs. 17.7%) and a higher mean nasalance score (31.3% vs. 46.7%) during the acquisition phase. Furthermore, errorless learners outperformed errorful learners in both retention and novel transfer tests. Acknowledgment: Supported by The University of Hong Kong Strategic Research Theme for Sciences of Learning © 2012 Acoustical Society of Americapublished_or_final_versio

Recent Advances in Signal Processing

The signal processing task is a very critical issue in the majority of new technological inventions and challenges in a variety of applications in both science and engineering fields. Classical signal processing techniques have largely worked with mathematical models that are linear, local, stationary, and Gaussian. They have always favored closed-form tractability over real-world accuracy. These constraints were imposed by the lack of powerful computing tools. During the last few decades, signal processing theories, developments, and applications have matured rapidly and now include tools from many areas of mathematics, computer science, physics, and engineering. This book is targeted primarily toward both students and researchers who want to be exposed to a wide variety of signal processing techniques and algorithms. It includes 27 chapters that can be categorized into five different areas depending on the application at hand. These five categories are ordered to address image processing, speech processing, communication systems, time-series analysis, and educational packages respectively. The book has the advantage of providing a collection of applications that are completely independent and self-contained; thus, the interested reader can choose any chapter and skip to another without losing continuity

Investigating the build-up of precedence effect using reflection masking

The auditory processing level involved in the build‐up of precedence [Freyman et al., J. Acoust. Soc. Am. 90, 874–884 (1991)] has been investigated here by employing reflection masked threshold (RMT) techniques. Given that RMT techniques are generally assumed to address lower levels of the auditory signal processing, such an approach represents a bottom‐up approach to the buildup of precedence. Three conditioner configurations measuring a possible buildup of reflection suppression were compared to the baseline RMT for four reflection delays ranging from 2.5–15 ms. No buildup of reflection suppression was observed for any of the conditioner configurations. Buildup of template (decrease in RMT for two of the conditioners), on the other hand, was found to be delay dependent. For five of six listeners, with reflection delay=2.5 and 15 ms, RMT decreased relative to the baseline. For 5‐ and 10‐ms delay, no change in threshold was observed. It is concluded that the low‐level auditory processing involved in RMT is not sufficient to realize a buildup of reflection suppression. This confirms suggestions that higher level processing is involved in PE buildup. The observed enhancement of reflection detection (RMT) may contribute to active suppression at higher processing levels