Zobrazeno 1 - 10
of 3 476
pro vyhledávání: '"JEFFREY, F. P."'
Addressing the critical shortage of mental health resources for effective screening, diagnosis, and treatment remains a significant challenge. This scarcity underscores the need for innovative solutions, particularly in enhancing the accessibility an
Externí odkaz:
http://arxiv.org/abs/2402.08837
The onset and growth of rigid clusters in a two-dimensional (2D) suspension in shear flow are studied by numerical simulations. The suspension exhibits the lubricated-to-frictional rheology transition, but the key results here are for stresses above
Externí odkaz:
http://arxiv.org/abs/2401.15165
Autor:
Wu, Xi, Zhu, Zichen, Yu, Xiangyao, Deep, Shaleen, Viglas, Stratis, Cieslewicz, John, Jha, Somesh, Naughton, Jeffrey F.
A range of data insight analytical tasks involves analyzing a large set of tables of different schemas, possibly induced by various groupings, to find salient patterns. This paper presents Multi-Relational Algebra, an extension of the classic Relatio
Externí odkaz:
http://arxiv.org/abs/2311.04824
Autor:
Gustavo Perez, Wenlong Zhao, Zezhou Cheng, Maria Carolina T. D. Belotti, Yuting Deng, Victoria F. Simons, Elske Tielens, Jeffrey F. Kelly, Kyle G. Horton, Subhransu Maji, Daniel Sheldon
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 10, Iss 5, Pp 567-583 (2024)
Abstract The exodus of flying animals from their roosting locations is often visible as expanding ring‐shaped patterns in weather radar data. The NEXRAD network, for example, archives more than 25 years of data across 143 contiguous US radar statio
Externí odkaz:
https://doaj.org/article/5a240c1334144e828d9dc19bfea58d9c
Autor:
Wörtwein, Torsten, Allen, Nicholas, Sheeber, Lisa B., Auerbach, Randy P., Cohn, Jeffrey F., Morency, Louis-Philippe
Personalized prediction is a machine learning approach that predicts a person's future observations based on their past labeled observations and is typically used for sequential tasks, e.g., to predict daily mood ratings. When making personalized pre
Externí odkaz:
http://arxiv.org/abs/2306.08149
Autor:
Kwangsik Nho, Shannon L. Risacher, Liana G. Apostolova, Paula J. Bice, Jared R. Brosch, Rachael Deardorff, Kelley Faber, Martin R. Farlow, Tatiana Foroud, Sujuan Gao, Thea Rosewood, Jun Pyo Kim, Kelly Nudelman, Meichen Yu, Paul Aisen, Reisa Sperling, Basavaraj Hooli, Sergey Shcherbinin, Diana Svaldi, Clifford R. Jack, William J. Jagust, Susan Landau, Aparna Vasanthakumar, Jeffrey F. Waring, Vincent Doré, Simon M. Laws, Colin L. Masters, Tenielle Porter, Christopher C. Rowe, Victor L. Villemagne, Logan Dumitrescu, Timothy J. Hohman, Julia B. Libby, Elizabeth Mormino, Rachel F. Buckley, Keith Johnson, Hyun-Sik Yang, Ronald C. Petersen, Vijay K. Ramanan, Nilüfer Ertekin-Taner, Prashanthi Vemuri, Ann D. Cohen, Kang-Hsien Fan, M. Ilyas Kamboh, Oscar L. Lopez, David A. Bennett, Muhammad Ali, Tammie Benzinger, Carlos Cruchaga, Diana Hobbs, Philip L. De Jager, Masashi Fujita, Vaishnavi Jadhav, Bruce T. Lamb, Andy P. Tsai, Isabel Castanho, Jonathan Mill, Michael W. Weiner, for the Alzheimer’s Disease Neuroimaging Initiative (ADNI), the Department of Defense Alzheimer’s Disease Neuroimaging Initiative (DoD-ADNI), the Anti-Amyloid Treatment in Asymptomatic Alzheimer’s Study (A4 Study) and Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (LEARN), the Australian Imaging, Biomarker & Lifestyle Study (AIBL), Andrew J. Saykin
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Determining the genetic architecture of Alzheimer’s disease pathologies can enhance mechanistic understanding and inform precision medicine strategies. Here, we perform a genome-wide association study of cortical tau quantified by positron
Externí odkaz:
https://doaj.org/article/534dba93d5bf4620975ce9a0f564baf7
Autor:
Xiaofang Zhong, Qiongyu Li, Benjamin J Polacco, Trupti Patil, Aaron Marley, Helene Foussard, Prachi Khare, Rasika Vartak, Jiewei Xu, Jeffrey F DiBerto, Bryan L Roth, Manon Eckhardt, Mark von Zastrow, Nevan J Krogan, Ruth Hüttenhain
Publikováno v:
Molecular Systems Biology, Vol 20, Iss 8, Pp 952-971 (2024)
Abstract Proximity labeling (PL) via biotinylation coupled with mass spectrometry (MS) captures spatial proteomes in cells. Large-scale processing requires a workflow minimizing hands-on time and enhancing quantitative reproducibility. We introduced
Externí odkaz:
https://doaj.org/article/b1fa4dc8556644079c79cd440ac3a387
Autor:
Ge, Tao, Medrano, Maria, Liao, Rui, Politte, David G., Williamson, Jeffrey F., Whiting, Bruce R., O'Sullivan, Joseph A.
Numerous dual-energy CT (DECT) techniques have been developed in the past few decades. Dual-energy CT (DECT) statistical iterative reconstruction (SIR) has demonstrated its potential for reducing noise and increasing accuracy. Our lab proposed a join
Externí odkaz:
http://arxiv.org/abs/2302.00577
Autor:
Wu, Xi, Deep, Shaleen, Benassi, Joe, Li, Fengan, Zhang, Yaqi, Jang, Uyeong, Foster, James, Kim, Stella, Sun, Yujing, Nguyen, Long, Viglas, Stratis, Jha, Somesh, Cieslewicz, John, Naughton, Jeffrey F.
Many data insight questions can be viewed as searching in a large space of tables and finding important ones, where the notion of importance is defined in some adhoc user defined manner. This paper presents Holistic Cube Analysis (HoCA), a framework
Externí odkaz:
http://arxiv.org/abs/2302.00120
Although inertial particle-laden flows occur in a wide range of industrial and natural processes, there is both a lack of fundamental understanding of these flows and continuum-level governing equations needed to predict transport and particle distri
Externí odkaz:
http://arxiv.org/abs/2212.00205