Results 71 to 80 of about 24,839,654 (290)

Ethical Dimensions of Visualization Research [PDF]

open access: yes, 2018
Visualizations have a potentially enormous influence on how data are used to make decisions across all areas of human endeavor. However, it is not clear how this power connects to ethical duties: what obligations do we have when it comes to visualizations and visual analytics systems, beyond our duties as scientists and engineers? Drawing on historical
arxiv   +1 more source

Survey of spiking in the mouse visual system reveals functional hierarchy

open access: yesNature, 2021
J. Siegle   +89 more
semanticscholar   +1 more source

The dynamics of invariant object recognition in the human visual system.

open access: yesJournal of Neurophysiology, 2014
The human visual system can rapidly recognize objects despite transformations that alter their appearance. The precise timing of when the brain computes neural representations that are invariant to particular transformations, however, has not been mapped
Leyla Isik   +3 more
semanticscholar   +1 more source

Inhibitor of DNA binding‐1 is a key regulator of cancer cell vasculogenic mimicry

open access: yesMolecular Oncology, EarlyView.
Elevated expression of transcriptional regulator inhibitor of DNA binding 1 (ID1) promoted cancer cell‐mediated vasculogenic mimicry (VM) through regulation of pro‐angiogenic and pro‐cancerous genes (e.g. VE‐cadherin (CDH5), TIE2, MMP9, DKK1). Higher ID1 expression also increased metastases to the lung and the liver.
Emma J. Thompson   +11 more
wiley   +1 more source

On the existence of neurones in the human visual system selectively sensitive to the orientation and size of retinal images

open access: yesJournal of Physiology, 1969
1. It was found that an occipital evoked potential can be elicited in the human by moving a grating pattern without changing the mean light flux entering the eye.
C. Blakemore, F. Campbell
semanticscholar   +1 more source

Aberrant expression of nuclear prothymosin α contributes to epithelial‐mesenchymal transition in lung cancer

open access: yesMolecular Oncology, EarlyView.
Nuclear prothymosin α inhibits epithelial‐mesenchymal transition (EMT) in lung cancer by increasing Smad7 acetylation and competing with Smad2 for binding to SNAI1, TWIST1, and ZEB1 promoters. In early‐stage cancer, ProT suppresses TGF‐β‐induced EMT, while its loss in the nucleus in late‐stage cancer leads to enhanced EMT and poor prognosis.
Liyun Chen   +12 more
wiley   +1 more source

VizML: A Machine Learning Approach to Visualization Recommendation [PDF]

open access: yesarXiv, 2018
Data visualization should be accessible for all analysts with data, not just the few with technical expertise. Visualization recommender systems aim to lower the barrier to exploring basic visualizations by automatically generating results for analysts to search and select, rather than manually specify.
arxiv  

Understanding and measuring mechanical signals in the tumor stroma

open access: yesFEBS Open Bio, EarlyView.
This review discusses cancer‐associated fibroblast subtypes and their functions, particularly in relation to extracellular matrix production, as well as the development of 3D models to study tumor stroma mechanics in vitro. Several quantitative techniques to measure tissue mechanical properties are also described, to emphasize the diagnostic and ...
Fàtima de la Jara Ortiz   +3 more
wiley   +1 more source

The State of the Art in Multilayer Network Visualization [PDF]

open access: yesarXiv, 2019
Modelling relationships between entities in real-world systems with a simple graph is a standard approach. However, reality is better embraced as several interdependent subsystems (or layers). Recently the concept of a multilayer network model has emerged from the field of complex systems.
arxiv  

ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data [PDF]

open access: yesarXiv, 2020
Visualization recommendation seeks to generate, score, and recommend to users useful visualizations automatically, and are fundamentally important for exploring and gaining insights into a new or existing dataset quickly. In this work, we propose the first end-to-end ML-based visualization recommendation system that takes as input a large corpus of ...
arxiv  

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