Results 91 to 100 of about 130,093 (266)
A 3D Human Neuron‐on‐Chip Platform to Monitor Neuronal Injury Responses
This study presents a novel 3D Neuron‐on‐Chip model that can maintain human PSC‐derived excitatory prefrontal cortex neurons in 3D hydrogels and can be used to monitor neuronal injury responses over time. Results show injury‐induced acute neuronal excitotoxicity, declining neuronal connectivity, and the activation of a neurodegenerative, SASP‐like ...
Ruiping Tang +16 more
wiley +1 more source
The Earth's gravity field is a fundamental physical field for research and analysis in Earth sciences. However, the limited degree of expansion in the gravity field model introduces truncation errors, which hinder the accurate representation of high ...
Yixiang Liu +5 more
doaj +1 more source
A Locally Finite Model for Gravity [PDF]
Matter interacting classically with gravity in 3+1 dimensions usually gives rise to a continuum of degrees of freedom, so that, in any attempt to quantize the theory, ultraviolet divergences are nearly inevitable. Here, we investigate matter of a form that only displays a finite number of degrees of freedom in compact sections of space-time.
openaire +5 more sources
Multidimensional Cellular Micro‐Compartments to Model Invasive Lobular Carcinoma Dormancy
Invasive lobular carcinoma (ILC) is an understudied subtype of breast cancer that is susceptible to late recurrences. In this study, micro‐compartmentalization techniques spanning multiple dimensions, including 2D, pseudo‐3D, and 3D, are integrated to uncover the mechanisms underlying ILC dormancy, revealing the central role of p27Kip1.
Xilal Y. Rima +15 more
wiley +1 more source
This study introduces a modular microfluidic platform that connects liver cells with live microbes to mimic key aspects of the gut–liver interaction in steatosis. Using this system, both microbial metabolites and live bacteria significantly reduced fat accumulation in liver cells, but live microbes triggered inflammation and broader metabolic changes ...
Hsih‐Yin Tan +7 more
wiley +1 more source
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
Gravity: Estimation Methods for Gravity Models in R [PDF]
Anna-Lena Wölwer +3 more
openaire +1 more source
An innovative, lightweight 3D‐printed skinfold chamber system is presented for long‐term intravital imaging. This affordable, biocompatible platform simplifies surgical implantation and allows high‐resolution, multimodal visualization of the tumor microenvironment for up to four weeks.
Iván Cortés Domínguez +9 more
wiley +1 more source
Simulation analysis of an adjusted gravity model for hospital admissions robust to incomplete data. [PDF]
Latruwe T +5 more
europepmc +1 more source
Two-Way Models for Gravity [PDF]
© 2017 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology. Empirical models for dyadic interactions between n agents often feature agent-specific parameters. Fixed-effect estimators of such models generally have bias of order n-1, which is nonnegligible relative to their standard error.
openaire +2 more sources

