Results 91 to 100 of about 22,970,744 (375)
A Universal Parallel Two-Pass MDL Context Tree Compression Algorithm
Computing problems that handle large amounts of data necessitate the use of lossless data compression for efficient storage and transmission. We present a novel lossless universal data compression algorithm that uses parallel computational units to ...
Baron, Dror, Krishnan, Nikhil
core +1 more source
Non‐thermal plasma treatment of melanoma cells induced epithelial‐mesenchymal transition (EMT) in a dose‐dependent fashion. This report highlights the critical need to further investigate potential adverse effects of non‐thermal plasma for cancer therapy and to optimize treatment parameters for clinical translation. Despite the promising results of non‐
Eline Biscop +10 more
wiley +1 more source
Evaluating lossy data compression on climate simulation data within a large ensemble
. High-resolution Earth system model simulations generate enormous data volumes, and retaining the data from these simulations often strains institutional storage resources.
A. Baker +14 more
semanticscholar +1 more source
Distributed Compression of Graphical Data [PDF]
In contrast to time series, graphical data is data indexed by the vertices and edges of a graph. Modern applications such as the internet, social networks, genomics and proteomics generate graphical data, often at large scale. The large scale argues for the need to compress such data for storage and subsequent processing.
Payam Delgosha, Venkat Anantharam
openaire +5 more sources
Genomics‐led approach to drug testing in models of undifferentiated pleomorphic sarcoma
GA text Genomic data from undifferentiated pleomorphic sarcoma patients and preclinical models were used to inform a targeted drug screen. Selected compounds were tested in 2D and 3D cultures of UPS cell lines. A combination of trametinib and infigratinib was synergistic in the majority of UPS cell lines tested, which was further confirmed in an ex ...
Piotr J. Manasterski +19 more
wiley +1 more source
There is a growing interest nowadays to process large amounts of data using the well-known decision-tree learning algorithms. Building a decision tree as fast as possible against a large dataset without substantial decrease in accuracy and using as ...
PURDILA, V., PENTIUC, S.-G.
doaj +1 more source
As a significant role in healthcare and sports applications, human activity recognition (HAR) techniques are capable of monitoring humans’ daily behavior.
Wen Qi +5 more
doaj +1 more source
A Survey on Data Compression Methods for Biological Sequences
The ever increasing growth of the production of high-throughput sequencing data poses a serious challenge to the storage, processing and transmission of these data. As frequently stated, it is a data deluge.
S. M. Hosseini, Diogo Pratas, A. Pinho
semanticscholar +1 more source
Cotargeting EGFR and STAT3 with Erlotinib and TTI‐101 impairs both 2D and 3D growth of ETV1‐overexpressing prostate cancer cells by disrupting a self‐sustaining ETV1–EGFR positive feedback loop that promotes EGFR and STAT3 expression and phosphorylation (activation).
Elsa Gomes Paiva +5 more
wiley +1 more source
Weather Radar Data Compression Based on Spatial and Temporal Prediction
The transmission and storage of weather radar products will be an important problem for future weather radar applications. The aim of this work is to provide a solution for real-time transmission of weather radar data and efficient data storage.
Qiangyu Zeng +3 more
doaj +1 more source

