Results 71 to 80 of about 2,562,360 (318)

Copper–Collagen Interactions Regulate the Mechanical and Invasive Properties of Tumor Spheroids

open access: yesAdvanced Healthcare Materials, EarlyView.
Ionic copper is investigated as a modulator of tumor spheroid growth and invasiveness in a 3D microfluidic glioblastoma model. Copper exposure alters metabolic activity, cytoskeletal organization, protrusion dynamics, and EMT‐related phenotypes in a dose‐ and timing‐dependent manner, revealing how copper bioavailability shapes tumor aggressiveness ...
Paula Guerrero‐López   +5 more
wiley   +1 more source

Nonparametric Conditional Inference for Regression Coefficients with Application to Configural Polysampling [PDF]

open access: yes, 2007
We consider inference procedures, conditional on an observed ancillary statistic, for regression coefficients under a linear regression setup where the unknown error distribution is specified nonparametrically.
Ho, Yvonne, Lee, Stephen
core   +1 more source

Basic Tenets of Classification Algorithms K-Nearest-Neighbor, Support Vector Machine, Random Forest and Neural Network: A Review

open access: yes, 2020
In this paper, sixty-eight research articles published between 2000 and 2017 as well as textbooks which employed four classification algorithms: K-Nearest-Neighbor (KNN), Support Vector Machines (SVM), Random Forest (RF) and Neural Network (NN) as the ...
E. Y. Boateng, Joseph Otoo., D. Abaye
semanticscholar   +1 more source

Matrix Viscoelasticity Regulates Dendritic Cell Migration and Immune Priming

open access: yesAdvanced Materials, EarlyView.
Matrix viscoelasticity is a key mechanical feature of the tumor microenvironment but remains poorly understood in immune regulation. Here, we develop a tunable collagen platform to decouple viscoelasticity from stiffness and show that slow‐relaxing matrices constrain dendritic cell migration by limiting actomyosin‐driven matrix remodeling, thereby ...
Wei‐Hung Jung   +6 more
wiley   +1 more source

A Family of Nonparametric Density Estimation Algorithms

open access: yes, 2013
A new methodology for density estimation is proposed. The methodology, which builds on the one developed by Tabak and Vanden‐Eijnden, normalizes the data points through the composition of simple maps. The parameters of each map are determined through the
E. Tabak, C. Turner
semanticscholar   +1 more source

Conductive Hydrogels for Exogenous Sensing and Cell Fate Control

open access: yesAdvanced Materials, EarlyView.
We engineer electrically conductive hydrogels by combining sulfated glycosaminoglycans with semiconducting polymers. These hydrogels bind bioactive proteins, including growth factors, whose release or retention can be modulated by low‐voltage stimulation. The hydrogels are also integrated as 3D channels in organic electrochemical transistors as part of
Teuku Fawzul Akbar   +15 more
wiley   +1 more source

SEM-Based Methods to Form Confidence Intervals for Indirect Effect: Still Applicable Given Nonnormality, Under Certain Conditions

open access: yesFrontiers in Psychology, 2020
A SEM-based approach using likelihood-based confidence interval (LBCI) has been proposed to form confidence intervals for unstandardized and standardized indirect effect in mediation models. However, when used with the maximum likelihood estimation, this
Ivan Jacob Agaloos Pesigan   +1 more
doaj   +1 more source

Temporal and Cell‐Specific Regulation of Synaptic Homeostasis by the Chromatin Remodeler Chd1

open access: yesAdvanced Science, EarlyView.
Chd1, the Drosophila homologue of mammalian CHD2 ‐ a gene linked to autism, epilepsy, and intellectual disability, is required for synaptic homeostatic plasticity. Chd1 in glia is necessary for the rapid induction of synaptic homeostasis, whereas Chd1 in motoneurons, muscle, and glia is critical for long‐term maintenance.
Danielle T. Morency   +19 more
wiley   +1 more source

Nonparametric estimation of conditional incremental effects

open access: yesJournal of Causal Inference
Conditional effect estimation has great scientific and policy importance because interventions may impact subjects differently depending on their characteristics.
McClean Alec   +2 more
doaj   +1 more source

Nonparametric inference for interventional effects with multiple mediators

open access: yesJournal of Causal Inference, 2021
Understanding the pathways whereby an intervention has an effect on an outcome is a common scientific goal. A rich body of literature provides various decompositions of the total intervention effect into pathway-specific effects.
Benkeser David, Ran Jialu
doaj   +1 more source

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