Vakanski A, Ferguson JM, Lee S. Mathematical Modeling and Evaluation of Human Motions in Physical Therapy Using Mixture Density Neural Networks. J Physiother Phys Rehabil. 2016 Dec;1(4):118. Epub 2016 Oct 11. PMID: 28111643; PMCID: PMC5242735.
https://pubmed.ncbi.nlm.nih.gov/28111643/
College of Science faculty Jessica Lee, Siavash Riazi, Shahla Nemati, Jannell Bazurto, Andreas Vasdekis, Benjamin Ridenhour, Christopher Remien and Christopher Marx had a paper published in PLOS Genetics. In their research, they uncovered that genetically identical cells can be phenomenally different in their ability to survive stress, and thus selection acts upon the distributions of…
The cover of Science Magazine currently features an important discovery made by an international research team: deep-sea fish can see more than just one color. When a Switzerland- and Australia-based research team recently needed to validate their findings regarding what colors of light a deep-sea fish species could see at up to 1500 meters below…
This news article was written by Kathy Foss, Marketing and Communications Manager for the College of Letters, Arts and Social Sciences. Drs. Florian Justwan and Bert Baumgaertner are active CMCI faculty participants and part of the Social-Epi working group. MOSCOW, Idaho — Aug. 28, 2019 — People skeptical of the medical establishment who live close to…
The CMCI Reproducibility in Sciences working group, or SciRep for short, has been meeting since the fall of 2015. Today, their most recent publication, “Scientific discovery in a model-centric framework: Reproducibility, innovation, and epistemic diversity,” was published in PLOS ONE. Congratulations! The American Council on Science and Health also picked up the story with their…
Deep-sea fish study shows developmental trajectory for vertebrate vision What do deep-sea fish eyes see what we don’t? Deep-sea fish larvae development has long given us a glimpse into observable evolutionary processes–helping us humans not only to understand their vision, but of vertebrates (like ourselves). A new study conducted by our very own, Assistant Professor…
World-wide experiments have been conducted to understand the distinct relationships among various genes. However, it remains a challenge to identify the genomic causes and effects directly from the data, especially within a network. It’s the classic chicken and egg question: Which comes first, the chicken or the egg? In other words, how do you know…