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Physical Sciences and Mathematics Commons™
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Full-Text Articles in Physical Sciences and Mathematics
The Effect Of Arm Swing On Countermovement Vertical Jump Performance, Arash Mohammadzadeh Gonabadi
The Effect Of Arm Swing On Countermovement Vertical Jump Performance, Arash Mohammadzadeh Gonabadi
UNO Student Research and Creative Activity Fair
Vertical jumping is one of the popular ways to evaluate ankle-knee efficiency in athletic population. Arm swing can play a crucial role in enhancing vertical jump performance. This study aimed to address the differences in kinetic and kinematic parameters during countermovement jump motion with arm swing (AS) and no arm swing (NAS). We used OpenSim to examine the efficacy of AS in reducing the impulse applied to the body and changes in range of lower limb joint angles at landing instant. We calculated the maximum vertical peak of the ground reaction force and impulse generated at landing in two different …
Estimating Variations In Metabolic Cost Within The Stride Cycle During Level And Uphill Walking, Arash Mohammadzadeh Gonabadi
Estimating Variations In Metabolic Cost Within The Stride Cycle During Level And Uphill Walking, Arash Mohammadzadeh Gonabadi
UNO Student Research and Creative Activity Fair
Indirect calorimetry provides the average cost of a stride cycle and prevents from identifying which part of the gait cycle causes increased metabolic cost in patients, however, recent simulation methods allow estimating the time profile of metabolic cost within the stride cycle. In this study, we compare the estimations of the time profile of the metabolic cost of two simulation methods for level and uphill walking. We used kinematic, kinetic and electromyography data from level and uphill walking (one participant) to estimate the time profiles of metabolic cost using the muscle-level metabolic model of Umberger using electromyography and kinematic data …
Large Scale Dynamical Model Of Macrophage/Hiv Interactions, Sean T. Bresnahan, Matthew M. Froid
Large Scale Dynamical Model Of Macrophage/Hiv Interactions, Sean T. Bresnahan, Matthew M. Froid
UNO Student Research and Creative Activity Fair
Properties emerge from the dynamics of large-scale molecular networks that are not discernible at the individual gene or protein level. Mathematical models - such as probabilistic Boolean networks - of molecular systems offer a deeper insight into how these emergent properties arise. Here, we introduce a non-linear, deterministic Boolean model of protein, gene, and chemical interactions in human macrophage cells during HIV infection. Our model is composed of 713 nodes with 1583 interactions between nodes and is responsive to 38 different inputs including signaling molecules, bacteria, viruses, and HIV viral particles. Additionally, the model accurately simulates the dynamics of over …