All Publications

  • The Relationship Between Public Interest and Surgical Demand During the COVID-19 Pandemic. Cureus Abella, M. K., Abella, T. T., Yoshida, K. T. 2023; 15 (4): e37122


    Surgical databases are useful for examining outcomes and case volume to improve care, while public interest data has the potential to track the supply and demand of medical services in specific communities. However, the relationship between public interest data and case volume from surgical databases, specifically during disruptive instances like the coronavirus pandemic, is unknown. Therefore, the purpose of this study is to determine how public interest data is related to the case volume of coronavirus and other surgical procedures performed during the coronavirus pandemic.This retrospective study included a review of appendectomy, total hip arthroplasty (THA), and total knee arthroplasty (TKA) cases from the National Surgery Quality Improvement Project and relative search volume (RSV) of hip replacement, knee replacement, appendicitis, and coronavirus from Google Trends from 2019 to 2020. T-tests were used to compare surgical caseload and RSV data before and after the COVID-19 surge in March 2020, while linear models were used to determine relationships between confirmed procedures and relative search volumes.The RSV for knee replacement (p < 0.001, Cohen's D [d] = -5.01, 95% confidence interval [CI]: -7.64 to -2.34) and hip replacement (p < 0.001, d = -7.22, 95% CI: -10.85 to -3.57) had a large dip during the coronavirus pandemic, while the RSV for appendicitis had a smaller dip (p = 0.003, d = -2.37, 95% CI: -3.93 to -0.74). Linear models showed very strong linear relationships between surgical RSV and surgical volume for TKA (R2 = 0.931) and THA (R2 = 0.940).There was a significant reduction in the number of elective surgeries, which correlated to drops in public interest during COVID-19. The strong correlations between RSV, surgical volume, and coronavirus cases indicate that public interest can be used to track and predict surgical case volume. Our findings allow for greater insight into the use of public interest data to gauge surgical demand.

    View details for DOI 10.7759/cureus.37122

    View details for PubMedID 37153257

    View details for PubMedCentralID PMC10159371

  • Feasibility of Smartphone Vibrations as a Sensory Diagnostic Tool Adenekan, R. G., Lowber, A. J., Huerta, B. N., Okamura, A. M., Yoshida, K. T., Nunez, C. M., Seifi, H., Kappers, A. M., Schneider, O., Drewing, K., Pacchierotti, C., Abbasimoshaei, A., Huisman, G., Kern, T. A. SPRINGER INTERNATIONAL PUBLISHING AG. 2022: 337-339
  • Deep Learning Classification of Touch Gestures Using Distributed Normal and Shear Force Choi, H., Brouwer, D., Lin, M. A., Yoshida, K. T., Rognon, C., Stephens-Fripp, B., Okamura, A. M., Cutkosky, M. R., IEEE IEEE. 2022: 3659-3665
  • Embedded Laser-Cut Constraints for Elastomeric Soft Actuators Winston, C. E., Yoshida, K. T., Williams, S. R., Okamura, A. M., IEEE IEEE. 2021: 863
  • AFREEs: Active Fiber Reinforced Elastomeric Enclosures Yoshida, K. T., Ren, X., Blumenschein, L. H., Okamura, A. M., Luo, M., IEEE IEEE. 2020: 305–11
  • Human Interface for Teleoperated Object Manipulation with a Soft Growing Robot Stroppa, F., Luo, M., Yoshida, K., Coad, M. M., Blumenschein, L. H., Okamura, A. M., IEEE IEEE. 2020: 726-732
  • 3-DoF Wearable, Pneumatic Haptic Device to Deliver Normal, Shear, Vibration, and Torsion Feedback Yoshida, K. T., Nunez, C. M., Williams, S. R., Okamura, A. M., Luo, M., IEEE IEEE. 2019: 97–102
  • A new experimental system to test how the brain learns novel locomotion dynamics Yoshida, K. T., Uyanik, Fortune, E. S., Sutton, E. E., Cowan, N. J. OXFORD UNIV PRESS INC. 2018: E455
  • Evolutionary and Functional Analysis of the Invariant SWIM Domain in the Conserved Shu2/SWS1 Protein Family from Saccharomyces cerevisiae to Homo sapiens GENETICS Godin, S. K., Meslin, C., Kabbinavar, F., Bratton-Palmer, D. S., Hornack, C., Mihalevic, M. J., Yoshida, K., Sullivan, M., Clark, N. L., Bernstein, K. A. 2015; 199 (4): 1023-U187


    The Saccharomyces cerevisiae Shu2 protein is an important regulator of Rad51, which promotes homologous recombination (HR). Shu2 functions in the Shu complex with Shu1 and the Rad51 paralogs Csm2 and Psy3. Shu2 belongs to the SWS1 protein family, which is characterized by its SWIM domain (CXC...Xn...CXH), a zinc-binding motif. In humans, SWS1 interacts with the Rad51 paralog SWSAP1. Using genetic and evolutionary analyses, we examined the role of the Shu complex in mitotic and meiotic processes across eukaryotic lineages. We provide evidence that the SWS1 protein family contains orthologous genes in early-branching eukaryote lineages (e.g., Giardia lamblia), as well as in multicellular eukaryotes including Caenorhabditis elegans and Drosophila melanogaster. Using sequence analysis, we expanded the SWIM domain to include an invariant alanine three residues after the terminal CXH motif (CXC…Xn…CXHXXA). We found that the SWIM domain is conserved in all eukaryotic orthologs, and accordingly, in vivo disruption of the invariant residues within the canonical SWIM domain inhibits DNA damage tolerance in yeast and protein-protein interactions in yeast and humans. Furthermore, using evolutionary analyses, we found that yeast and Drosophila Shu2 exhibit strong coevolutionary signatures with meiotic proteins, and in yeast, its disruption leads to decreased meiotic progeny. Together our data indicate that the SWS1 family is an ancient and highly conserved eukaryotic regulator of meiotic and mitotic HR.

    View details for DOI 10.1534/genetics.114.173518

    View details for Web of Science ID 000352734400011

    View details for PubMedID 25659377

    View details for PubMedCentralID PMC4391554