Zobrazeno 1 - 10
of 474
pro vyhledávání: '"S. McGinnis"'
Publikováno v:
Advances in Statistical Climatology, Meteorology and Oceanography, Vol 10, Pp 123-141 (2024)
Comparisons of observed and modeled climate behavior often focus on central tendencies, which overlook other important distributional characteristics related to quantiles and variability. We propose two permutation procedures, standard and stratified
Externí odkaz:
https://doaj.org/article/0c576f6cf8724ec69b4ab20fc746cbbe
Autor:
K. Sakaguchi, L. R. Leung, C. M. Zarzycki, J. Jang, S. McGinnis, B. E. Harrop, W. C. Skamarock, A. Gettelman, C. Zhao, W. J. Gutowski, S. Leak, L. Mearns
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 3029-3081 (2023)
Comprehensive assessment of climate datasets is important for communicating model projections and associated uncertainties to stakeholders. Uncertainties can arise not only from assumptions and biases within the model but also from external factors s
Externí odkaz:
https://doaj.org/article/a3d3194d059f4240b68a5866133d299b
Publikováno v:
Advances in Statistical Climatology, Meteorology and Oceanography, Vol 3, Pp 67-92 (2017)
We assess similarities and differences between model effects for the North American Regional Climate Change Assessment Program (NARCCAP) climate models using varying classes of linear regression models. Specifically, we consider how the average te
Externí odkaz:
https://doaj.org/article/79ee09b752ba4130b91dd22d0b2b5bcf
Autor:
E. Gilleland, M. Bukovsky, C. L. Williams, S. McGinnis, C. M. Ammann, B. G. Brown, L. O. Mearns
Publikováno v:
Advances in Statistical Climatology, Meteorology and Oceanography, Vol 2, Iss 2, Pp 137-153 (2016)
An important topic for climate change investigation is the behavior of severe weather under future scenarios. Given the fine-scale nature of the phenomena, such changes can only be analyzed indirectly, for example, through large-scale indicators of e
Externí odkaz:
https://doaj.org/article/25bfb7673c374ec2a4a8cde45b7f8a6b
Autor:
Johanna E Hidalgo, Julia Kim, Jordan Llorin, Kathryn Stanton, Josh Cherian, Laura Bloomfield, Mikaela Fudolig, Matthew Price, Jennifer Ha, Natalie Noble, Christopher M Danforth, Peter Sheridan Dodds, Jason Fanning, Ryan S McGinnis, Ellen W McGinnis
Publikováno v:
PLOS Digital Health, Vol 3, Iss 11, p e0000650 (2024)
ObjectivesDespite the development of efficacious wellness interventions, sustainable wellness behavior change remains challenging. To optimize engagement, initiating small behaviors that build upon existing practices congruent with individuals' lifes
Externí odkaz:
https://doaj.org/article/017f0a151c1942dfae6ad18bd070b3a1
Autor:
Asa Thibodeau, Alper Eroglu, Christopher S. McGinnis, Nathan Lawlor, Djamel Nehar-Belaid, Romy Kursawe, Radu Marches, Daniel N. Conrad, George A. Kuchel, Zev J. Gartner, Jacques Banchereau, Michael L. Stitzel, A. Ercument Cicek, Duygu Ucar
Publikováno v:
Genome Biology, Vol 22, Iss 1, Pp 1-19 (2021)
Abstract Detecting multiplets in single nucleus (sn)ATAC-seq data is challenging due to data sparsity and limited dynamic range. AMULET (ATAC-seq MULtiplet Estimation Tool) enumerates regions with greater than two uniquely aligned reads across the ge
Externí odkaz:
https://doaj.org/article/16ab6a3786b04036bf43b168af964002
Autor:
Christopher S. McGinnis, David A. Siegel, Guorui Xie, George Hartoularos, Mars Stone, Chun J. Ye, Zev J. Gartner, Nadia R. Roan, Sulggi A. Lee
Publikováno v:
BMC Biology, Vol 19, Iss 1, Pp 1-11 (2021)
Abstract Background Single-cell RNA sequencing (scRNA-seq) provides high-dimensional measurements of transcript counts in individual cells. However, high assay costs and artifacts associated with analyzing samples across multiple sequencing runs limi
Externí odkaz:
https://doaj.org/article/bea83cbdb3b44163b4655e3d340c2253
Autor:
Michael V. Potter, Stephen M. Cain, Lauro V. Ojeda, Reed D. Gurchiek, Ryan S. McGinnis, Noel C. Perkins
Publikováno v:
Sensors, Vol 22, Iss 21, p 8398 (2022)
Inertial measurement units (IMUs) offer an attractive way to study human lower-limb kinematics without traditional laboratory constraints. We present an error-state Kalman filter method to estimate 3D joint angles, joint angle ranges of motion, strid
Externí odkaz:
https://doaj.org/article/2113737f2acd4597a11bcbfaea8dc60c
Autor:
Brett M. Meyer, Paolo Depetrillo, Jaime Franco, Nicole Donahue, Samantha R. Fox, Aisling O’Leary, Bryn C. Loftness, Reed D. Gurchiek, Maura Buckley, Andrew J. Solomon, Sau Kuen Ng, Nick Cheney, Melissa Ceruolo, Ryan S. McGinnis
Publikováno v:
Sensors, Vol 22, Iss 18, p 6982 (2022)
Wearable sensors facilitate the evaluation of gait and balance impairment in the free-living environment, often with observation periods spanning weeks, months, and even years. Data supporting the minimal duration of sensor wear, which is necessary t
Externí odkaz:
https://doaj.org/article/cf31a44e5ddc47b2a7ffd5ca99515daa
Autor:
Ryan S. McGinnis, Ellen W. McGinnis
Publikováno v:
Sensors, Vol 22, Iss 12, p 4576 (2022)
This editorial provides a concise overview of the use and importance of wearables in the emerging field of digital medicine [...]
Externí odkaz:
https://doaj.org/article/a96b1b58018b4bf584265a15f6c4f4a6