Results 81 to 90 of about 4,203,675 (344)
Composing high-level stream processing pipelines
Journal of Big Data, 2020 The growing number of Internet of Things (IoT) devices provide a massive pool of sensing data. However, turning data into actionable insights is not a trivial task, especially in the context of IoT, where application development itself is complex.
Tanmaya Mahapatra
doaj +1 more source
Cyclic nucleotide signaling as a drug target in retinitis pigmentosa
FEBS Letters, EarlyView.Disruptions in cGMP and cAMP signaling can contribute to retinal dysfunction and photoreceptor loss in retinitis pigmentosa. This perspective examines the mechanisms and evaluates emerging evidence on targeting these pathways as a potential therapeutic strategy to slow or prevent retinal degeneration.
Katri Vainionpää +2 more
wiley +1 more source
A Statistical Perspective on Discovering Functional Dependencies in Noisy Data
SIGMOD Conference, 2020 We study the problem of discovering functional dependencies (FD) from a noisy data set. We adopt a statistical perspective and draw connections between FD discovery and structure learning in probabilistic graphical models.
Yunjia Zhang +2 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.This article advocates integrating temporal dynamics into cancer research. Rather than relying on static snapshots, researchers should increasingly consider adopting dynamic methods—such as live imaging, temporal omics, and liquid biopsies—to track how tumors evolve over time.
Gautier Follain +3 more
wiley +1 more source
Inhibitor of DNA binding‐1 is a key regulator of cancer cell vasculogenic mimicry
Molecular 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
Deformable Part Models are Convolutional Neural Networks
, 2014 Deformable part models (DPMs) and convolutional neural networks (CNNs) are two widely used tools for visual recognition. They are typically viewed as distinct approaches: DPMs are graphical models (Markov random fields), while CNNs are "black-box" non ...
Darrell, Trevor +3 more
core +1 more source
CAD/CAM from the Graphic Design Perspective [PDF]
, 1984 CAD/CAM Systems have evolved elaborate human-computer interfaces in order to facilitate the creation of highly detailed and specialized schematic diagrams and texts. Although these systems have powerful capacities in terms of graphics editing, data manipulation, and data storage, insufficient attention has been given to making the online interface ...
openaire +2 more sources
Bulletin du Centre d’Études Médiévales d’Auxerre, 2015 Today Besancon has the highest percentage of green space per inhabitant among France’s largest cities (200 m2 per capita). 3/4 of it are made up by the Forêt de Chailluz (16.7 km2), a large forest which has maintained its present extent for over six ...
Catherine Fruchart
doaj +1 more source
On the classification and treatment of outliers in a spatial context: A Bayesian Updating approach
REM: International Engineering Journal, 2021 Checking and treating extreme values is commonplace in modelling workflows. The main methods to manage outliers may be categorized into graphical, Kriging- and simulation-based approaches.
Victor Miguel Silva
doaj +1 more source
An omics perspective on drug target discovery platforms
Briefings Bioinform., 2019 The drug discovery process starts with identification of a disease-modifying target. This critical step traditionally begins with manual investigation of scientific literature and biomedical databases to gather evidence linking molecular target to ...
J. Paananen, V. Fortino
semanticscholar +1 more source