Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Computer Sciences (2)
- Life Sciences (2)
- Medicine and Health Sciences (2)
- Anatomy (1)
- Applied Statistics (1)
-
- Artificial Intelligence and Robotics (1)
- Biochemistry, Biophysics, and Structural Biology (1)
- Bioinformatics (1)
- Biomechanics (1)
- Biomechanics and Biotransport (1)
- Biomedical Engineering and Bioengineering (1)
- Cardiovascular Diseases (1)
- Cardiovascular System (1)
- Categorical Data Analysis (1)
- Diseases (1)
- Engineering (1)
- Kinesiology (1)
- Molecular, Cellular, and Tissue Engineering (1)
- Numerical Analysis and Scientific Computing (1)
- Other Biomedical Engineering and Bioengineering (1)
- Sports Sciences (1)
- Structural Biology (1)
- Tissues (1)
- Vital and Health Statistics (1)
- File Type
Articles 1 - 3 of 3
Full-Text Articles in Biostatistics
The Effects Of Demographics And Risk Factors On The Morphological Characteristics Of Human Femoropopliteal Arteries, Sayed Ahmadreza Razian, Majid Jadidi, Alexey Kamenskiy
The Effects Of Demographics And Risk Factors On The Morphological Characteristics Of Human Femoropopliteal Arteries, Sayed Ahmadreza Razian, Majid Jadidi, Alexey Kamenskiy
UNO Student Research and Creative Activity Fair
Background: Disease of the lower extremity arteries (Peripheral Arterial Disease, PAD) is associated with high morbidity and mortality. During disease development, the arteries adapt by changing their diameter, wall thickness, and residual deformations, but the effects of demographics and risk factors on this process are not clear.
Methods: Superficial femoral arteries from 736 subjects (505 male, 231 female, 12 to 99 years old, average age 51±17.8 years) and the associated demographic and risk factor variables were used to construct machine learning (ML) regression models that predicted morphological characteristics (diameter, wall thickness, and longitudinal opening angle resulting from the …
Team Coordination Dynamics Of Winning Nba Teams, Alli Grunkemeyer, Joel H. Sommerfeld
Team Coordination Dynamics Of Winning Nba Teams, Alli Grunkemeyer, Joel H. Sommerfeld
UNO Student Research and Creative Activity Fair
Predicting sports games outcomes is an endless pursuit shared by stakeholders ranging from fans to coaches to data scientists. We have begun investigating the value of positional data recorded during basketball gameplay with the goal of predicting outcomes from team dynamics as they emerge. We approached this problem by analyzing the “shape” of team movements on the court and investigated whether team dynamics in NBA games mimicked long-range correlated patterns observed in other team contexts. We analyzed 622 NBA games from an archival data set, including all area time series obtained for each of the four quarters. We fit a …
Data Analytics Pipeline For Rna Structure Analysis Via Shape, Quinn Nelson
Data Analytics Pipeline For Rna Structure Analysis Via Shape, Quinn Nelson
UNO Student Research and Creative Activity Fair
Coxsackievirus B3 (CVB3) is a cardiovirulent enterovirus from the family Picornaviridae. The RNA genome houses an internal ribosome entry site (IRES) in the 5’ untranslated region (5’UTR) that enables cap-independent translation. Ample evidence suggests that the structure of the 5’UTR is a critical element for virulence. We probe RNA structure in solution using base-specific modifying agents such as dimethyl sulfate as well as backbone targeting agents such as N-methylisatoic anhydride used in Selective 2’-Hydroxyl Acylation Analyzed by Primer Extension (SHAPE). We have developed a pipeline that merges and evaluates base-specific and SHAPE data together with statistical analyses that provides confidence …