Digital Commons Network^™

Developing Strategies For Pce Outreach, Mariah Blankenbaker, Gordon Carlson, Daniel Adesoji, Levi Eck

SACAD: Scholarly Activities

In collaboration with Professional and Continuing Education (PCE), we produced projects to automate their internal tasks, as well as to promote their services. By taking advantage of software techniques, we bridged live-action footage with 2D and 3D computer visuals for promotional material. In addition, we researched the capabilities of creating a custom Generative Pre-trained Transformer (GPT) and trained it to analyze and interact with thousands of industry datapoints.

Flood Frequency Analysis Of Big Creek, Ryan S. Funai, Jason T. Santoli, Gunnar F. Wainscott, Callen Zurn

SACAD: Scholarly Activities

The primary purpose of flood frequency analysis is to determine a timeframe of potential flood events. Analyzing flood frequency is a process that involves collecting years of quantitative data on discharge rates, calculating the probability of exceeding a certain rate of discharge, and calculating the average interval between events equaling or exceeding a certain rate of discharge. The Big Creek Watershed drainage area covers an area of 549 square miles in Western Kansas, including Ellis, Trego, Gove, and Sheridan Counties. This research analyzes 79 years of data collected by the USGS at the intersection of Big Creek and US-183. Water …

Fourier Analysis Of Electronic Synthesizer Waveforms, Jiayan Ling, Jack W. Maseberg

SACAD: Scholarly Activities

We compute Fourier series coefficients for some standard electronic synthesizer waveforms and provide plots of our results.

Exploring Ancestral Enzymes Through Sequence Reconstruction And Stability Prediction, Jeyun Park, Masakatsu Watanabe

SACAD: Scholarly Activities

Proteins evolve through sequence changes that shape structure, stability,

and function. Ancestral sequence reconstruction (ASR) infers ancestral

proteins from modern homologs, but many studies focus on sequence

inference without evaluating structural or energetic feasibility.

β-lactamases provide an ideal model due to their evolutionary diversity and

clinical relevance in antibiotic resistance.

Here, we present an integrated ASR workflow combining phylogenetic

inference (IQ-TREE), ancestral reconstruction, and structural and stability

validation using AlphaFold and FoldX. By reanalyzing a curated β-

lactamase dataset and comparing with a recent study (Risso et al., 2013),

we provide a controlled comparison of ancestral sequences, predicted

structures, and …

Fhsu Western Kansas Regional Water Quality Study, Gunnar F. Wainscott

SACAD: Scholarly Activities

This study, conducted by Fort Hays State University faculty and graduate students, aims to analyze water quality through systematic sampling and analysis of wells, ponds, and streams across the region. Each sample is analyzed for a suite of eighteen parameters, such as arsenic, lead, nitrate, etc. By combining laboratory results with spatial data, this project seeks to identify regional patterns, establish a foundation for future monitoring efforts, and provide participating landowners with clear, accessible information about their own water quality.

Fractals Exploration Through Computer Visualization, Sihui Wei

SACAD: Scholarly Activities

This project explores the generation and visualization of fractals using computational methods. Several well-known fractal structures, including the Koch Snowflake, Sierpinski Triangle, Mandelbrot Set, and Julia Set, were implemented using C++ and the SFML graphics library.

The study focuses on how simple mathematical rules, when applied recursively or iteratively, can produce highly complex and self-similar structures. For geometric fractals, recursive algorithms were used to subdivide shapes and generate patterns. For complex-plane fractals, iterative formulas were applied pixel-by-pixel to determine set membership and visualize escape behavior.

The results demonstrate that small changes in parameters, such as recursion depth or iteration count, …

A Computational Study Of Taylor Approximation, Sihui Wei

SACAD: Scholarly Activities

This project investigates the accuracy of Taylor approximation using computational methods. Taylor polynomials of degree 1, 3, and 5 were applied to the functions e^x, sin x, and ln⁡(1+x), all centered at x=0.

Using C++, we generated both numerical data and graphical visualizations to analyze the absolute error∣f(x)−Tn(x)∣. The results show that higher-degree polynomials provide better approximation near the expansion point, while the error increases as the distance from the center grows.

In addition, the study reveals that the effectiveness of Taylor approximation depends not only on the polynomial degree but also on the structure of the function. In particular, …

Mgrre_Thinsections_Mgrre-141_2, Mgrre

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David Berkowitz, Enzyme-Assisted Organic Synthesis & Nsf Officer, Mark A. Griep, David B. Berkowitz

Department of Chemistry: Faculty Interviews

Dr. Dave Berkowitz was born in Urbana, Illinois. He earned his bachelor's degree in chemistry from the University of Chicago, where he did undergraduate research. Next, he earned his doctorate from Harvard University. However, his advisor, Steve Benner, moved from Harvard to ETH Zurich, also called the Swiss Federal Institute of Technology. Dave accompanied him to Zurich, where he completed his dissertation work. When Dave returned to the U.S., he did a postdoc with the legendary Samuel Danishefsky at Yale University. In 1991, he joined UNL as an assistant professor of chemistry and quickly rose through the ranks. Dave is …

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