Results 81 to 90 of about 34,598,226 (325)
Migration-Based Online CPSCN Big Data Analysis in Data Centers
IEEE Access, 2018 It is critical to schedule online data-intensive jobs effectively for various applications, including cyber-physical-system and social network system. It is also useful to support timely decision making and better prediction.
Xin Li +3 more
doaj +1 more source
Molecular Oncology, EarlyView.Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff +11 more
wiley +1 more source
Forum: Qualitative Social Research, 2011 This paper addresses the application of observation to online settings with a special focus on observer roles. It draws on a study of online observation of a virtual community, i.e. an open source software (OSS) community.
Sladjana V. Nørskov, Morten Rask
doaj
Scalable and Accurate Online Feature Selection for Big Data
, 2016 Feature selection is important in many big data applications. Two critical challenges closely associate with big data. Firstly, in many big data applications, the dimensionality is extremely high, in millions, and keeps growing.
Ding, Wei +3 more
core +1 more source
Correlation of the differential expression of PIK3R1 and its spliced variant, p55α, in pan‐cancer
Molecular Oncology, EarlyView.PIK3R1 undergoes alternative splicing to generate the isoforms, p85α and p55α. By combining large patient datasets with laboratory experiments, we show that PIK3R1 spliced variants shape cancer behavior. While tumors lose the protective p85α isoform, p55α is overexpressed, changes linked to poorer survival and more pronounced in African American ...
Ishita Gupta +10 more
wiley +1 more source
Aware, But Don't Really Care: Students' Perspective on Privacy and Data Collection in Online Courses
Journal of Open, Flexible and Distance Learning, 2020 The purpose of this study was to examine student viewpoints about privacy and personal data collection in online courses. Results of data analysis revealed that students were aware that their learning behaviors such as login frequency, pages viewed or ...
Phu Vu, Megan Adkins, Shelby Henderson
doaj +2 more sources
CRAID: Online RAID upgrades using dynamic hot data reorganization [PDF]
, 2014 Current algorithms used to upgrade RAID arrays typically require large amounts of data to be migrated, even those that move only the minimum amount of data required to keep a balanced data load.
Cortés, Toni, Miranda Bueno, Alberto
core
Molecular Oncology, EarlyView.This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns +10 more
wiley +1 more source
Dispersion for Data-Driven Algorithm Design, Online Learning, and Private Optimization
, 2018 Data-driven algorithm design, that is, choosing the best algorithm for a specific application, is a crucial problem in modern data science. Practitioners often optimize over a parameterized algorithm family, tuning parameters based on problems from their
Balcan, Maria-Florina +2 more
core +1 more source
Molecular Oncology, EarlyView.Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova +25 more
wiley +1 more source