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Alliance for a Data Revolution: CGIAR Platform for Big Data in Agriculture 2017 Convention Report

, 2017
On September 19-22, 2017 the Consultative Group for International Agricultural Research1 (CGIAR) gathered over 300 local and international researchers, non-profits, public and private sector actors for the first CGIAR Platform for Big Data in Agriculture
CGIAR Platform for Big Data in Agriculture
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Big Data for Health

IEEE Journal of Biomedical and Health Informatics, 2015
This paper provides an overview of recent developments in big data in the context of biomedical and health informatics. It outlines the key characteristics of big data and how medical and health informatics, translational bioinformatics, sensor informatics and imaging informatics will benefit from an integrated approach in piecing together different ...
Andreu-Perez, Javier, Poon, Carmen, Merrifield, Robert, Wong, Stephen, Yang, Guang-Zhong   +4 more
openaire   +4 more sources

The anabolic steroid stanozolol is a potent inhibitor of human MutT homolog 1

FEBS Letters, EarlyView.
MutT homolog 1 (MTH1) is a member of the NUDIX superfamily of enzymes and is an anticancer drug target. We show that stanozolol (Stz), an anabolic steroid, is an unexpected nanomolar inhibitor of MTH1. The X‐ray crystal structure of the human MTH1–Stz complex reveals a unique binding scaffold that could be utilized for future inhibitor development ...
Emma Scaletti Hutchinson, Robert Gustafsson Westergren, Ingrid Almlöf, Ann‐Sofie Jemth, Martin Scobie, Ulrika Warpman Berglund, Thomas Helleday, Pål Stenmark   +7 more
wiley   +1 more source

Aβ42 promotes the aggregation of α‐synuclein splice isoforms via heterogeneous nucleation

FEBS Letters, EarlyView.
The aggregation of amyloid‐β (Aβ) and α‐synuclein (αSyn) is associated with Alzheimer's and Parkinson's diseases. This study reveals that Aβ aggregates serve as potent nucleation sites for the aggregation of αSyn and its splice isoforms, shedding light on the intricate interplay between these two pathogenic proteins.
Alexander Röntgen, Zenon Toprakcioglu, Michele Vendruscolo   +2 more
wiley   +1 more source

Big Data

Journal of the American College of Radiology, 2016
[no abstract]
  +8 more sources

Routing networking technology based on improved ant colony algorithm in space-air-ground integrated network

EURASIP Journal on Advances in Signal Processing
Space-air-ground integrated networks comprise a multi-level heterogeneous integrated network that combines satellite-based, aerial, and terrestrial networks.
Wuzhou Nie, Yong Chen, Yuhao Wang, Peizheng Wang, Meng Li, Lei Ning   +5 more
doaj   +1 more source

Research on Precise Segmentation and Center Localization of Weeds in Tea Gardens Based on an Improved U-Net Model and Skeleton Refinement Algorithm

Agriculture
The primary objective of this research was to develop an efficient method for accurately identifying and localizing weeds in ecological tea garden environments, aiming to enhance the quality and yield of tea production.
Zhiyong Cao, Shuai Zhang, Chen Li, Wei Feng, Baijuan Wang, Hao Wang, Ling Luo, Hongbo Zhao   +7 more
doaj   +1 more source

ERBIN limits epithelial cell plasticity via suppression of TGF‐β signaling

FEBS Letters, EarlyView.
In breast and lung cancer patients, low ERBIN expression correlates with poor clinical outcomes. Here, we show that ERBIN inhibits TGF‐β‐induced epithelial‐to‐mesenchymal transition in NMuMG breast and A549 lung adenocarcinoma cell lines. ERBIN suppresses TGF‐β/SMAD signaling and reduces TGF‐β‐induced ERK phosphorylation.
Chao Li, Gerard van der Zon, Peter ten Dijke, Tong Shen   +3 more
wiley   +1 more source

Clustering ensemble pruning algorithm based on vec2vec classifier representation

Journal of King Saud University: Computer and Information Sciences
The complementarity of ensemble learning primarily stems from the diversity among its classifier members, which is typically assessed by calculating the similarity or distance between classifiers.
Chunlong Li, Danyang Li, Xue Qin, Yuanxian Qin, Jialin Li, Jiafan Yuan   +5 more
doaj   +1 more source

Big Data Analysis for PV Applications [PDF]

, 2017
With increasing photovoltaic (PV) installations, large amounts of time series data from utility-scale PV systems such as meteorological data and string level measurements are collected [1, 2]. Due to fluctuations in irradiance and temperature, PV data is
Lim, Idris, Yang, Dazhi
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