Over 40% of adults in the United States are considered obese. Obesity is known to cause abnormal metabolic effects and lead to other negative health consequences. Interestingly, differences in metabolism and contractile performance between obese and healthy weight individuals are associated with differences in skeletal muscle fiber type composition between these groups. Each fiber type is characterized by unique metabolic and contractile properties, which are largely determined by the myosin heavy chain isoform (MHC) or isoform combination that the fiber expresses. In previous studies, SDS-PAGE single fiber analysis has been utilized as a method to determine MHC isoform distribution and single fiber type distribution in skeletal muscle. Herein, a methodological approach to analyze MHC isoform and fiber type distribution in skeletal muscle was fine-tuned for use in human and rodent studies. In the future, this revised methodology will be implemented to evaluate the effects of obesity and exercise on the phenotypic fiber type composition of skeletal muscle.

The colossal global counterfeit market and advances in cryptography including quantum computing supremacy have led the drive for a class of anti-counterfeit tags that are physically unclonable. Dendrites, previously considered an undesirable side effect of battery operation, have promise as an extremely versatile version of such tags, with their fundamental nature ensuring that no two dendrites are alike and that they can be read at multiple magnification scales. In this work, we first pursue a simulation for electrochemical dendrites that elucidates fundamental information about their growth mechanism. We then translate these results into physical dendrites and demonstrate methods of producing a hash from these dendrites that is damage-tolerant for real-world verification. Finally, we explore theoretical curiosities that arise from the fractal nature of dendrites. We find that uniquely ramified dendrites, which rely on lower ion mobility and conductive deposition, are particularly amenable to wavelet hashing, and demonstrate that these dendrites have strong commercial potential for securing supply chains at the highest level while maintaining a low price point.

Our current understanding of the mitochondrial genome was revolutionized in 2015 with the discovery of short open reading frames (sORFs) that produced protein products called mitochondrial-derived peptides (MDPs). Interestingly, unlike other proteins produced by the organelle, these MDPs are not directly involved in the electron transport chain but rather serve the role of metabolic regulators. In particular, one of these peptides called MOTS-c has been shown to regulate glucose and fat metabolism in an AMPK-dependent manner. With its capacity to enter the mitochondria and impact gene expression, MOTS-c has also displayed the ability to increase aerobic exercise performance by triggering elevated synthesis of the HO-1 antioxidant. Overall these findings position MOTS-c as a promising treatment for metabolic diseases as well as a potential dietary supplement to boost ATP availability.

STEAMtank is a project beneath that falls under the umbrella of InnovationSpace, an initiative of the Design School at Arizona State University. STEAMtank is the product of the product of the honors thesis of Abigail Peters, who envisioned a K-8 STEAM (science, technology, engineering, art, and math) museum that was hosted on campus at ASU and was free to the community to promote STEAM education for underrepresented communities. STEAMtank is now in its second iteration, with six teams creating six attractions for the museum. Alongside these projects, presented here is a concept design for a museum exhibit focused entirely around chemistry, a particular branch of science that is lacking from all K-8 focused STEAM exhibits in Phoenix.