Digital Commons Network^™

Identification Of Novel Genes Regulating Caenorhabditis Elegans Morphologically Complex Cellelimination, Brenda Amata

McNair Scholars Research Journal

No abstract provided.

A Survey Of 12 Exoplanet-Star Systems And Their Exomoon Candidates, Connor Jackson

McNair Scholars Research Journal

No abstract provided.

Investing The Therapeutic Possibilities Of Glassblowing, Isabella Posca

McNair Scholars Research Journal

No abstract provided.

A Machine Learning Approach To Multifactorial Modeling Of Episodic Memory Performance, Evan Fletcher, Marianne Chanti-Ketterl, Emily Hokett, Yi Lor, Umesh Venkatesan, Paola Gilsanz, Rachel Whitmer, Ruijia Chen, Kristen George, Zvinka Zlatar

Moss-Magee Rehabilitation Papers

BACKGROUND: Neurocognitive health is influenced by multiple modifiable and non-modifiable lifestyle factors. Machine learning tools offer a promising approach to better understand complex models of cognitive function. We used extreme gradient boosting (XG Boost), an algorithm of decision-tree modeling, to analyze the association between 15 late-life lifestyle and demographic factors with episodic memory performance. METHOD: Our dataset consisted of 2247 participants from the KHANDLE and STAR cohorts. Participants included 841 men and 1406 women, an ethnoracial diversity of 413 Asian, 987 Black, 349 Latinx, and 496 White adults with age range 54-90 (mean = 74). XG Boost models of continuous …

Students Participating As Ambassadors For Research In Kentucky (Spark): A Health Equity Undergraduate Research Training Program, Ariel A. Arthur, Rebecca L. Delacerda Allen, Fidelis Y. Sesenu, Maxwell A. Groznik, Carrie B. Oser, Madeline Dunfee, Philip A. Kern, Nancy Schoenberg

UK CARES Faculty Publications

The Students Participating as Ambassadors for Research in Kentucky (SPARK) program provides novel health equity research training and targeted mentorship for undergraduates, particularly those from groups underrepresented in the biomedical and behavioral research and workforce. SPARK aims to address inadequate diversity in the medical and scientific research fields by providing comprehensive research mentorship and skill-building. Unlike most existing research training programs that are brief, focus on laboratory research, or are limited to graduate students and junior faculty, SPARK delivers a 16-month intensive behavioral and population health science training, equipping students with needed tools to conceptualize, plan, execute, and analyze their …

Methanogenesis Kinetics Of Organic Matter Of The Leachate In An Up-Flow Anaerobic Sludge Blanket Reactor, Mohamad Ali Fulazzaky, Ali Yuzir, Tiffany L. Messer, Agus Sofyan

UK CARES Faculty Publications

Understanding the treatment of leachate mediated by the development of anaerobic sludge makes it possible to create an effective design process of biodegradation technology. This study used an up-flow anaerobic sludge blanket (UASB) reactor equipped with a gas–liquid-solid separator to capture CH4 for treating landfill leachate to improve understanding of methanogenesis kinetics of organic matter. The performance of UASB was able to remove 154.75 g/L of chemical oxygen demand (COD) content of the leachate originally anticipated to emit 2.99 L of CH4 production into the atmosphere. The trend in the variation of internal mass transfer (IMT) factor was close to …

Resting-State Brain Activity And Its Relationship To Mental Health In Epilepsy Using Fmri, Florian Gobellan Rodriguez

McNair Scholars Research Journal

No abstract provided.

Evaluating The Efficiency Of Lossless Compression Algorithms Across Multiple Formats In Archival Compression, Matthew Gonzales

McNair Scholars Research Journal

Data storage or retention is an essential part of all business operations. Modern companies opt to store user data seven years or more after it is deleted and even longer when it’s still being hosted. Therefore, when storing files for long periods of time compression becomes an essential step in reducing cost and total file storage. Compression is the strategic removement of portions of data while ensuring that enough data is left behind to reconstruct the file during decompression. This experiment seeks to identify potential benefits of compression in groups of files of differing formats in comparison to individual file …

Postpartum Depression In North American Ghanaian Women, Natalie Bawuah

McNair Scholars Research Journal

No abstract provided.

Prioritizing The Parent Perspective: A Mixed Methods Approach To Deconstructing Learning Deficiencies Within Marginalized And Underserved Communities, Zea Wallace

McNair Scholars Research Journal

No abstract provided.

An Alternate Way Of Factoring Mathematical Objects And The Mystery Behind Free Resolutions, Tyler Trujillo

McNair Scholars Research Journal

No abstract provided.

Notes From The Director, The Mcnair Team

McNair Scholars Research Journal

No abstract provided.

Letter From The Vice President For Research And Innovation, The Mcnair Team

McNair Scholars Research Journal

No abstract provided.

Citation Bias, Diversity, And Ethics, Keisha S Ray, Perry Zurn, Jordan D Dworkin, Dani S Bassett, David B Resnik

Faculty and Staff Publications

How often a researcher is cited usually plays a decisive role in that person's career advancement, because academic institutions often use citation metrics, either explicitly or implicitly, to estimate research impact and productivity. Research has shown, however, that citation patterns and practices are affected by various biases, including the prestige of the authors being cited and their gender, race, and nationality, whether self-attested or perceived. Some commentators have proposed that researchers can address biases related to social identity or position by including a Citation Diversity Statement in a manuscript submitted for publication. A Citation Diversity Statement is a paragraph placed …

Π-Hub: The Proteomic Navigator Of The Human Body, Fuchu He, Ruedi Aebersold, Mark S Baker, Xiuwu Bian, Xiaochen Bo, Daniel W Chan, Cheng Chang, Luonan Chen, Xiangmei Chen, Yu-Ju Chen, Heping Cheng, Ben C Collins, Fernando Corrales, Jürgen Cox, Weinan E, Jennifer E Van Eyk, Jia Fan, Pouya Faridi, Daniel Figeys, George Fu Gao, Wen Gao, Zu-Hua Gao, Keisuke Goda, Wilson Wen Bin Goh, Dongfeng Gu, Changjiang Guo, Tiannan Guo, Yuezhong He, Albert J R Heck, Henning Hermjakob, Tony Hunter, Narayanan Gopalakrishna Iyer, Ying Jiang, Connie R Jimenez, Lokesh Joshi, Neil L Kelleher, Ming Li, Yang Li, Qingsong Lin, Cui Hua Liu, Fan Liu, Guang-Hui Liu, Yansheng Liu, Zhihua Liu, Teck Yew Low, Ben Lu, Matthias Mann, Anming Meng, Robert L Moritz, Edouard Nice, Guang Ning, Gilbert S Omenn, Christopher M Overall, Giuseppe Palmisano, Yaojin Peng, Charles Pineau, Terence Chuen Wai Poon, Anthony W Purcell, Jie Qiao, Roger R Reddel, Phillip J Robinson, Paola Roncada, Chris Sander, Jiahao Sha, Erwei Song, Sanjeeva Srivastava, Aihua Sun, Siu Kwan Sze, Chao Tang, Liujun Tang, Ruijun Tian, Juan Antonio Vizcaíno, Chanjuan Wang, Chen Wang, Xiaowen Wang, Xinxing Wang, Yan Wang, Tobias Weiss, Mathias Wilhelm, Robert Winkler, Bernd Wollscheid, Limsoon Wong, Linhai Xie, Wei Xie, Tao Xu, Tianhao Xu, Liying Yan, Jing Yang, Xiao Yang, John Yates, Tao Yun, Qiwei Zhai, Bing Zhang, Hui Zhang, Lihua Zhang, Lingqiang Zhang, Pingwen Zhang, Yukui Zhang, Yu Zi Zheng, Qing Zhong, Yunping Zhu, Π-Hub Consortium

Faculty, Staff and Students Publications

The human body contains trillions of cells, classified into specific cell types, with diverse morphologies and functions. In addition, cells of the same type can assume different states within an individual's body during their lifetime. Understanding the complexities of the proteome in the context of a human organism and its many potential states is a necessary requirement to understanding human biology, but these complexities can neither be predicted from the genome, nor have they been systematically measurable with available technologies. Recent advances in proteomic technology and computational sciences now provide opportunities to investigate the intricate biology of the human body …

Exploring Post-Covid-19 Health Effects And Features With Advanced Machine Learning Techniques, Muhammad N. Islam, Md S. Islam, Nahid H. Shourav, Iftiaqur Rahman, Faiz A. Faisal, Md M. Islam, Iqbal H. Sarker

Research outputs 2022 to 2026

COVID-19 is an infectious respiratory disease that has had a significant impact, resulting in a range of outcomes including recovery, continued health issues, and the loss of life. Among those who have recovered, many experience negative health effects, particularly influenced by demographic factors such as gender and age, as well as physiological and neurological factors like sleep patterns, emotional states, anxiety, and memory. This research aims to explore various health factors affecting different demographic profiles and establish significant correlations among physiological and neurological factors in the post-COVID-19 state. To achieve these objectives, we have identified the post-COVID-19 health factors and …

Full Issue, The Mcnair Team

McNair Scholars Research Journal

No abstract provided.

Correlating Clinical Course With Baseline Subcortical Shape In Provisional Tic Disorder, Tiffanie Che, Soyoung Kim, Deanna J Greene, Ashley Heywood, Jimin Ding, Tamara Hershey, Bradley L Schlaggar, Kevin J Black, Lei Wang

2020-Current year OA Pubs

OBJECTIVE: This study examined children at the onset of tic disorder (tics for less than 9 months: NT group), a population on which little research exists. Here, we investigate relationships between the baseline shape and volume of subcortical nuclei, diagnosis, and tic symptom outcomes.

METHODS: 187 children were assessed at baseline and a 12-month follow-up: 88 with NT, 60 tic-free healthy controls (HC), and 39 with chronic tic disorder/Tourette syndrome (TS), using T1-weighted MRI and total tic scores (TTS) from the Yale Global Tic Severity Scale to evaluate symptom change. Subcortical surface maps were generated using FreeSurfer-initialized large deformation diffeomorphic …

Analysis Of Impulsive Differential Equation Models Of Cell Populations Undergoing Radiation Therapy, Abigail D'Ovidio Long

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Radiation therapy is a mode of treatment which is implemented for approximately 50% of cancer patients. Treatment needs to be able to kill cancer cells, but also do minimal damage to surrounding healthy tissue. We propose two main impulsive differential equation models of radiation therapy to capture the periodic nature of the treatment. These models build off of previous studies using clinical data to ensure biological relevance. The first model incorporates only cancer cell populations, and we provide parameter relationships which theoretically ensure treatment outcomes of cancer eradication, cancer approaching a carrying capacity, and cancer approaching a periodic solution. We …

Magnetic Resonance Imaging Trackable Pathology-Triggered Polymersomes Toward Enzyme Replacement Theranostics For Gm1 Gangliosidosis, Dorian Foster

All Dissertations

This dissertation investigates the development and optimization of pathology-responsive polymersomes for simultaneous enhanced magnetic resonance imaging (MRI) and enzyme replacement therapy (ERT) in the treatment of GM1 gangliosidosis (GM1). While therapeutic strategies exist for similar, non-neuropathic lysosomal storage disorders, implementation towards GM1 faces significant challenges due to the blood-brain barrier.

Herein, we developed and characterized a range of low molecular weight hyaluronic acid-b-polylactic acid (HA-PLA) polymersomes (PSs) capable of encapsulating therapeutic enzymes in their hydrophilic core. These polymersomes exhibit pathophysiology-triggered responsiveness, degrading in the presence of acidic conditions, which is characteristic of lysosomes, and enzymes such as hexosaminidase A, which …

Health Implications Of Racial Differences In Serum Growth Differentiation Factor Levels Among Men With Obesity, Siresha Bathina, Virginia Fuenmayor Lopez, Mia Prado, Elliot Ballato, Georgia Colleluori, Maryam Tetlay, Dennis Tan Villareal, Sanjay Mediwala, Rui Chen, Clifford Qualls, Reina Armamento-Villareal

Faculty, Staff and Students Publications

Growth differentiation factor (GDF15) has been considered a biomarker and recently a hormonal driver for diseases in different populations. However, the role of GDF15 as a biomarker of health outcomes in obese men from different racial/ethnic background has not been evaluated. The objective of this study was to investigate the racial/ethnic differences on the relationship between GDF15 and markers of glucometabolic status, hormonal profile, body composition and bone mineral density (BMD) in obese men. One hundred ninety-three obese men from diverse racial/ethnic backgrounds were enrolled. BMD and body composition were measured by dual energy X-ray absorptiometry. Serum GDF15, osteocalcin, C-terminal …

Hands-On Training About Data Clustering With Orange Data Mining Toolbox, Janez Demšar, Blaž Zupan

Faculty, Staff and Students Publications

Data clustering is a core data science approach widely used and referenced in the scientific literature. Its algorithms are often intuitive and can lead to exciting, insightful results that are easy to interpret. For these reasons, data clustering techniques could be the first method encountered in data science training. This paper proposes a hands-on approach to data clustering training suitable for introductory courses. The education approach features problem-based training that starts with the data and gradually introduces various data processing and analysis methods, illustrating them through visual representations of data and models. The proposed training is suitable for a general …

Comparative Assessment Of Machine Learning And Deep Learning Models For Drug Effectiveness Using Sentiment Analysis, Blessing Ogechukwu Nwogu

Electronic Theses, Projects, and Dissertations

In recent years, the proliferation of online patient-generated drug reviews has created a valuable resource for assessing drug effectiveness and patient satisfaction, with sentiment analysis emerging as a powerful tool for extracting insights from this unstructured data.

This culminating research project conducted a comparative analysis of traditional Machine Learning (ML) and Deep Learning (DL) models for assessing drug effectiveness using sentiment analysis of participant reviews. The research aimed to evaluate the performance of Support Vector Machine (SVM), XGBoost, Random Forest, Long Short-Term Memory (LSTM), and Bidirectional Encoder Representations from Transformers (BERT) models in this context. This culminating research project addressed …

Genome-Wide Cross-Disease Analyses Highlight Causality And Shared Biological Pathways Of Type 2 Diabetes With Gastrointestinal Disorders, Emmanuel O. Adewuyi, Tenielle Porter, Eleanor K. O’Brien, Oladapo Olaniru, Giuseppe Verdile, Simon M. Laws

Research outputs 2022 to 2026

Studies suggest links between diabetes and gastrointestinal (GI) traits; however, their underlying biological mechanisms remain unclear. Here, we comprehensively assess the genetic relationship between type 2 diabetes (T2D) and GI disorders. Our study demonstrates a significant positive global genetic correlation of T2D with peptic ulcer disease (PUD), irritable bowel syndrome (IBS), gastritis-duodenitis, gastroesophageal reflux disease (GERD), and diverticular disease, but not inflammatory bowel disease (IBD). We identify several positive local genetic correlations (negative for T2D – IBD) contributing to T2D’s relationship with GI disorders. Univariable and multivariable Mendelian randomisation analyses suggest causal effects of T2D on PUD and gastritis-duodenitis and …

Examining Factors Of Variance In Energy Metabolism Of Dairy Cattle, Addison Lee Carroll

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Variation is thought to occur in the use of dietary energy for production in dairy cattle. First, variance can be observed when new methane mitigation strategies are fed resulting in increased H₂ output potentially resulting in downstream effects on estimates heat production via the Brouwer (1965) equation. Therefore, in chapter 3 a review was created to systematically describe the mathematics and theory behind the Brouwer equation, and rederive a heat production equation to integrate H₂ production. Results indicate heat production using the classical Brouwer equation (1965) relative to the rederived equation resulted in an overestimation of heat production …

A036: Research On The Impact Of Physical Dance On Body Dissatisfaction Among Female College Students, Hanlu Yang

International Journal of Physical Activity and Health

Background/Purpose: With the exacerbation of social phenomena such as "internal competition" and "labeling," mental health issues among university students, especially anxiety and depression among female students, are becoming increasingly prominent. “Body Dissatisfaction”, recognized as a key factor influencing mental health, has garnered widespread attention from various sectors of society. This study aimed to investigate the impact of physical dance on body dissatisfaction among female college students, with the goal of fostering positive body image and promoting healthy exercise habits.

Method: This study employed a combination of literature review, experimental methods, interviews, field observations, questionnaire surveys, and mathematical statistics. Three measurement …

From A Timeline Contact Graph To Close Contact Tracing And Infection Diffusion Intervention, Yipeng Zhang, Zhifeng Bao, Yuchen Li, Baihua Zheng, Xiaoli Wang

Research Collection School Of Computing and Information Systems

This paper proposes a novel graph structure to address the problems of information spreading in a real-world, frequently updating graph, with two main contributions at hand: accurately tracing infection diffusion according to fine-grained user movements and finding vulnerable vertices under the virus immunization scenario to mitigate infection diffusion. Unlike previous work that primarily predicts the long-term epidemic trend at the census level, this study aims to intervene in the short-term at the individual level. Therefore, two downstream tasks are formulated to illustrate practicalities: Epidemic Mitigating in Public Area problem (EMA) and Epidemic Maximized Spread in Public Area problem (ESA), where …

A010: The Effect Of Coordinated Bilateral Movements On Selective Attention In Fourth Graders, Chenjun Zong, Xiaozan Wang, Rui Wu

International Journal of Physical Activity and Health

Introduction: Selective attention is a core component of children and adolescents' intelligence and a source of individual differences. The status of selective attention of children and adolescents in China is not optimistic. In foreign countries, coordinated bilateral movement can help improve children’s and adolescents' attention. The fact that Chinese parents, schools, and society know little about coordinated bilateral movement, teachers in Chinese physical education and health programs almost never intentionally train students in this area.

Objectives: The purpose of this study was to explore whether coordinated bilateral exercise can improve the selective attention levels of Chinese children and adolescents, so …

A053: The Immediate Effects Of Cognitively Engaged Physical Activity On Academic Performance Of Children, Ziyu Wang, Liang Hu

International Journal of Physical Activity and Health

Background/Purpose: In order to change the status quo of children's low levels of physical activity due to excessive academic pressure, a large number of studies have explored the improvement of children's academic performance through physical activity interventions without increasing the burden of learning. With the depth of the studies, the focus has been shifted from the quantitative (exercise time, intensity, and frequency) to the qualitative (e.g., type of exercise), and the cognitive stimulation hypothesis has proposed that the cognitive engagement during exercise has a better facilitating effect on children's academic performance, but there is no consistent definition of cognitive engagement …

A105: Correlation Analysis Between Cognitive Style And Judgment Accuracy Of Tennis Umpires In Zhejiang Province, Kairui Cai, Wensheng He

International Journal of Physical Activity and Health

Background/Purpose: The influence of cognitive style on decision-making in sports has always been a hot research direction in sports psychology. As the law enforcers in the stadium, the individual cognitive style of the umpire in the penalty will also affect the results of a game to an extent. This paper studied the accuracy of on-the-spot decision-making judgment of tennis umpires classified by field dependent-field independent cognitive style and provided a new idea and scientific method for the selection and cultivation of tennis umpires.

Methods/Design: In this experiment, literature method, experimental method, mathematical statistics, logical analysis method and other related research …