Results 71 to 80 of about 24,984,402 (392)
New Horizons for a Data-Driven Economy, 2021 This chapter provides an overview of big data storage technologies. It is the result of a survey of the current state of the art in data storage technologies in order to create a cross-sectorial technology roadmap.
Martin Strohbach, AS A Commodity
semanticscholar +1 more source
FoxO1 signaling in B cell malignancies and its therapeutic targeting
FEBS Letters, EarlyView.FoxO1 has context‐specific tumor suppressor or oncogenic character in myeloid and B cell malignancies. This includes tumor‐promoting properties such as stemness maintenance and DNA damage tolerance in acute leukemias, or regulation of cell proliferation and survival, or migration in mature B cell malignancies.
Krystof Hlavac +3 more
wiley +1 more source
The Prediction of Multistep Traffic Flow Based on AST-GCN-LSTM
Journal of Advanced Transportation, 2021 Aiming at the traffic flow prediction problem of the traffic network, this paper proposes a multistep traffic flow prediction model based on attention-based spatial-temporal-graph neural network-long short-term memory neural network (AST-GCN-LSTM).
Fan Hou +4 more
doaj +1 more source
Characterizing and Subsetting Big Data Workloads [PDF]
, 2014 Big data benchmark suites must include a diversity of data and workloads to be useful in fairly evaluating big data systems and architectures. However, using truly comprehensive benchmarks poses great challenges for the architecture community. First, we need to thoroughly understand the behaviors of a variety of workloads.
arxiv +1 more source
FEBS Letters, EarlyView.Metabolic dysfunction‐associated steatotic liver disease (MASLD) affects nearly one‐third of the global population and poses a significant risk of progression to cirrhosis or liver cancer. Here, we discuss the roles of hepatic dendritic cell subtypes in MASLD, highlighting their distinct contributions to disease initiation and progression, and their ...
Camilla Klaimi +3 more
wiley +1 more source
Predicting the Future - Big Data, Machine Learning, and Clinical Medicine.
New England Journal of Medicine, 2016 The algorithms of machine learning, which can sift through vast numbers of variables looking for combinations that reliably predict outcomes, will improve prognosis, displace much of the work of radiologists and anatomical pathologists, and improve ...
Z. Obermeyer, E. Emanuel
semanticscholar +1 more source
Big Data Coordination Platform: Full Proposal 2017-2022 [PDF]
, 2016 This proposal for a Big Data and ICT Platform therefore focuses on enhancing CGIAR and partner capacity to deliver big data management, analytics and ICT-focused solutions to CGIAR target geographies and communities.
CGIAR Platform for Big Data in Agriculture
core
, 2014 The ability to collect and analyze large amounts of data is a growing problem within the scientific community. The growing gap between data and users calls for innovative tools that address the challenges faced by big data volume, velocity and variety ...
Gadepally, Vijay, Kepner, Jeremy
core +1 more source
Data Science and Big Data in Energy Forecasting [PDF]
, 2018 This editorial summarizes the performance of the special issue entitled Data Science and Big Data in Energy Forecasting, which was published at MDPI’s Energies journal.
Martínez Álvarez, Francisco +2 more
core +1 more source
Diphthamide synthesis is linked to the eEF2‐client chaperone machinery
FEBS Letters, EarlyView.The diphthamide modification of eukaryotic translation elongation factor 2 (eEF2) is important for accurate protein synthesis. We addressed the potential coordination of de novo eEF2 synthesis with simultaneous or subsequent diphthamide modification. Our work reveals that the co‐chaperones Hgh1 and Cpr7, which are known to support folding of nascent ...
Lars Kaduhr +4 more
wiley +1 more source