Results 151 to 160 of about 56,202 (281)

Predicting intracranial pressure monitor placement in children with traumatic brain injury: a prospective cohort study to develop a clinical decision support tool. [PDF]

J Am Med Inform Assoc
Russell S, DeWitt PE, Helmkamp L, Colborn K, Gray C, Rebull M, Sierra YL, Greer R, Petruccelli L, Shankman S, Hankinson TC, Xing F, Albers DJ, Bennett TD.   +13 more
europepmc   +1 more source

Jointly Learned 3D Non‐Cartesian Sampling With Wave Encoding and Reconstruction for Neurovascular Phase Contrast MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop accelerated 3D phase contrast (PC) MRI using jointly learned wave encoding and reconstruction. Methods Pseudo‐fully sampled neurovascular 4D flow data (N = 40) and a simulation framework were used to learn phase encoding locations, wave readout parameters, and model‐based reconstruction network (MoDL) for a rapid 3D PC scan (
Chenwei Tang, Brock W. Jolicoeur, James Rice, Caroline A. Doctor, Zaynab S. Yardim, Leonardo A. Rivera‐Rivera, Laura B. Eisenmenger, Kevin M. Johnson   +7 more
wiley   +1 more source

GenCPM: a toolbox for generalized connectome-based predictive modeling. [PDF]

Front Neurosci
Xu B, Ding S, Xu W, Fredericks C, Zhao Y.   +4 more
europepmc   +1 more source

Personalized Differential Privacy for Ridge Regression Under Output Perturbation

Naval Research Logistics (NRL), EarlyView.
ABSTRACT The increased application of machine learning (ML) in sensitive domains requires protecting the training data through privacy frameworks, such as differential privacy (DP). Traditional DP enforces a uniform privacy level ε$$ \varepsilon $$, which bounds the maximum privacy loss that each data point in the dataset is allowed to incur.
Krishna Acharya, Franziska Boenisch, Rakshit Naidu, Juba Ziani   +3 more
wiley   +1 more source

Opening the Black Box of Nonprofit Reputation and Volunteer Attraction With Supervised Machine Learning

Nonprofit Management and Leadership, EarlyView.
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid, Hannes Lampe, Jurgen Willems   +2 more
wiley   +1 more source

Solid Particle Erosion and Predictive Modeling of Epoxy Composites Reinforced With Diatom Frustules

Polymer Composites, EarlyView.
Schematic representation of the solid particle erosion process and predictive modeling workflow for diatom frustule‐reinforced epoxy composites, illustrating the test setup, erosion response curve, and filler‐matrix interaction. ABSTRACT This study examines the solid particle erosion wear behavior of epoxy composites reinforced with 5–20 wt% calcined ...
Elif Gültürk, Eser Yarar, Orkan Baran Korkusuz, Aleyna Kara, Tamer Sınmazçelik   +4 more
wiley   +1 more source

Short-Time Homomorphic Deconvolution (STHD): A Novel 2D Feature for Robust Indoor Direction of Arrival Estimation. [PDF]

Sensors (Basel)
Park Y, Kim JH.
europepmc   +1 more source

Exploring biofiber properties and their influence on biocomposite tensile properties

Polymer International, EarlyView.
The study measured the physical, flow and chemical properties of 10 biofibers. It characterized the tensile properties of derived biocomposites and linked them using regression models, showing robust predictive performance. Abstract Biofibers serve as effective reinforcements for neat polylactic acid (PLA) in biocomposites, offering an attractive ...
Oluwafemi A. Oyedeji, Jocelyn Hess, Xianhui Zhao, Luke Williams, Rachel Emerson, Erin Webb   +5 more
wiley   +1 more source

Advancing Extracellular Vesicle Research: A Review of Systems Biology and Multiomics Perspectives

PROTEOMICS, EarlyView.
ABSTRACT Extracellular vesicles (EVs) are membrane‐bound vesicles secreted by various cell types into the extracellular space and play a role in intercellular communication. Their molecular cargo varies depending on the cell of origin and its functional state.
Gloria Kemunto, Samaneh Ghadami, Kristen Dellinger   +2 more
wiley   +1 more source

Healthcare workers' priorities of WHO snakebite strategic objectives for the control and prevention of snakebite envenoming in Ghana: A machine learning statistical design of experiment modeling. [PDF]

PLoS Negl Trop Dis
Nyarko E, Atubiga IA, Siame ET, Gutiérrez JM, Fernandez EA.   +4 more
europepmc   +1 more source