140 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Institutes of HealthUS33 papers
- Jožef Stefan InstituteSI13 papers
- University of LjubljanaSI13 papers
- Center for Information TechnologyUS3 papers
- Texas A&M UniversityUS3 papers
- University of California, Santa BarbaraUS3 papers
- Center for Devices and Radiological HealthUS2 papers
- Forschungszentrum JülichDE2 papers
- Fraunhofer Institute for Intelligent Analysis and Information SystemsDE2 papers
- Helmholtz MunichDE2 papers
- Institute of PhysicsPL2 papers
- Kavli Institute for Theoretical PhysicsUS2 papers
42 papers
Covariance test for discretely observed functional data: when and how it works?
Yang Zhou, Jin Yang, Fang Yao
For covariance test in functional data analysis, existing methods are developed only for fully observed curves, whereas in practice, trajectories are typically observed discretely…
A Shape-Aware Total Body Photography System for In-focus Surface Coverage Optimization
Wei-Lun Huang, Joshua Liu, Davood Tashayyod +4
Total Body Photography (TBP) is becoming a useful screening tool for patients at high risk for skin cancer. While much progress has been made, existing TBP systems can be further i…
Analyzing Highly Correlated Chemical Toxicants Associated with Time to Pregnancy Using Discrete Survival Frailty Modeling Via Elastic Net
Abhisek Saha, Rajeshwari Sundaram
Understanding the association between mixtures of environmental toxicants and time-to-pregnancy (TTP) is an important scientific question as sufficient evidence has emerged about t…
Surface-Facilitated Trapping by Active Sites: From Catalysts to Viruses
Mikita M. Misiura, Alexander M. Berezhkovskii, Sergey M. Bezrukov +1
Trapping by active sites on surfaces plays important roles in various chemical and biological processes, including catalysis, enzymatic reactions, and viral entry into host cells.…
A single-shot measurement of time-dependent diffusion over sub-millisecond timescales using static field gradient NMR
Teddy X. Cai, Nathan H. Williamson, Velencia J. Witherspoon +2
Time-dependent diffusion behavior is probed over sub-millisecond timescales in a single shot using an NMR static gradient, time-incremented echo train acquisition (SG-TIETA) framew…
A novel in vitro device to deliver induced electromagnetic fields to cell and tissue cultures
Rea Ravin, Teddy X. Cai, Randall H. Pursley +9
We have developed a novel in vitro instrument that can deliver intermediate frequency (100 - 400 kHz), moderate intensity (up to and exceeding 6.5 V/cm pk-pk) electric fields (EFs)…
Global Brain Dynamics During Social Exclusion Predict Subsequent Behavioral Conformity
Nick Wasylyshyn, Brett Hemenway, Javier O. Garcia +6
Individuals react differently to social experiences; for example, people who are more sensitive to negative social experiences, such as being excluded, may be more likely to adapt…
A Quadratically Regularized Functional Canonical Correlation Analysis for Identifying the Global Structure of Pleiotropy with NGS Data
Nan Lin, Yun Zhu, Ruzong Fan +1
Investigating the pleiotropic effects of genetic variants can increase statistical power, provide important information to achieve deep understanding of the complex genetic structu…
Tract Orientation and Angular Dispersion Deviation Indicator (TOADDI): A framework for single-subject analysis in diffusion tensor imaging
Cheng Guan Koay, Ping-Hong Yeh, John M. Ollinger +5
The purpose of this work is to develop a framework for single-subject analysis of diffusion tensor imaging (DTI) data. This framework (termed TOADDI) is capable of testing whether…
A two-state mixed hidden Markov model for risky teenage driving behavior
John C. Jackson, Paul S. Albert, Zhiwei Zhang
This paper proposes a joint model for longitudinal binary and count outcomes. We apply the model to a unique longitudinal study of teen driving where risky driving behavior and the…
Mixed model and estimating equation approaches for zero inflation in clustered binary response data with application to a dating violence study
Kara A. Fulton, Danping Liu, Denise L. Haynie +1
The NEXT Generation Health study investigates the dating violence of adolescents using a survey questionnaire. Each student is asked to affirm or deny multiple instances of violenc…
Survival and Structure of Dusty Vortices in Protoplanetary Discs
Ivo Crnkovic-Rubsamen, Zhaohuan Zhu, James M. Stone
We have studied the impact of dust feedback on the survival and structure of vortices in protoplanetary discs using 2-D shearing box simulations with Lagrangian dust particles. We…
The use of covariates and random effects in evaluating predictive biomarkers under a potential outcome framework
Zhiwei Zhang, Lei Nie, Guoxing Soon +1
Predictive or treatment selection biomarkers are usually evaluated in a subgroup or regression analysis with focus on the treatment-by-marker interaction. Under a potential outcome…
Brain: Biological noise-based logic
Laszlo B. Kish, Claes-Goran Granqvist, Sergey M. Bezrukov +1
Neural spikes in the brain form stochastic sequences, i.e., belong to the class of pulse noises. This stochasticity is a counterintuitive feature because extracting information - s…
Bird's-eye view on Noise-Based Logic
Laszlo B. Kish, Claes-Goran Granqvist, Tamas Horvath +3
Noise-based logic is a practically deterministic logic scheme inspired by the randomness of neural spikes and uses a system of uncorrelated stochastic processes and their superposi…
Sparse and Optimal Acquisition Design for Diffusion MRI and Beyond
Cheng Guan Koay, Evren Özarslan, Kevin M Johnson +1
The focus of this paper is on the development of a sparse and optimal acquisition (SOA) design for diffusion MRI multiple-shell acquisition and beyond. A novel optimality criterion…
Marginal analysis of longitudinal count data in long sequences: Methods and applications to a driving study
Zhiwei Zhang, Paul S. Albert, Bruce Simons-Morton
Most of the available methods for longitudinal data analysis are designed and validated for the situation where the number of subjects is large and the number of observations per s…
A combined efficient design for biomarker data subject to a limit of detection due to measuring instrument sensitivity
Enrique F. Schisterman, Albert Vexler, Aijun Ye +1
Pooling specimens, a well-accepted sampling strategy in biomedical research, can be applied to reduce the cost of studying biomarkers. Even if the cost of a single assay is not a m…
Schroedinger Eigenmaps for the Analysis of Bio-Medical Data
Wojciech Czaja, Martin Ehler
We introduce Schroedinger Eigenmaps, a new semi-supervised manifold learning and recovery technique. This method is based on an implementation of graph Schroedinger operators with…
Shrinkage Rules for Variational Minimization Problems and Applications to Analytical Ultracentrifugation
Martin Ehler
Finding a sparse representation of a possibly noisy signal can be modeled as a variational minimization with l_q-sparsity constraints for q less than one. Especially for real-time,…
An approach for jointly modeling multivariate longitudinal measurements and discrete time-to-event data
Paul S. Albert, Joanna H. Shih
In many medical studies, patients are followed longitudinally and interest is on assessing the relationship between longitudinal measurements and time to an event. Recently, variou…
Dispersion Interactions between Optically Anisotropic Cylinders at all Separations: Retardation Effects for Insulating and Semiconducting Single Wall Carbon Nanotubes
A. Šiber, R. F. Rajter, R. H. French +3
We derive the complete form of the van der Waals dispersion interaction between two infinitely long anisotropic semiconducting/insulating thin cylinders at all separations. The der…
Weak and Strong-Coupling Electrostatic Interactions between Asymmetrically Charged Planar Surfaces
M. Kanduc, M. Trulsson, A. Naji +3
We compare weak and strong coupling theory of counterion-mediated electrostatic interactions between two asymmetrically charged plates with extensive Monte-Carlo simulations. Analy…
Deterministic multivalued logic scheme for information processing and routing in the brain
S. M. Bezrukov, L. B. Kish
Driven by analogies with state vectors of quantum informatics and noise-based logic, we propose a general scheme and elements of neural circuitry for processing and addressing info…