Results 71 to 80 of about 3,096,343 (252)
Exploiting Evolution for an Adaptive Drift-Robust Classifier in Chemical Sensing [PDF]
, 2010 Gas chemical sensors are strongly affected by drift, i.e., changes in sensors' response with time, that may turn statistical models commonly used for classification completely useless after a period of time.
Stefano Di Carlo +12 more
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FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Drift Correction Methods for gas Chemical Sensors in Artificial Olfaction Systems: Techniques and Challenges [PDF]
, 2012 In this chapter the authors introduce the main challenges faced when developing drift correction techniques and will propose a deep overview of state-of-the-art methodologies that have been proposed in the scientific literature trying to underlying pros ...
Falasconi M. +5 more
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FEBS Letters, EarlyView.Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley +1 more source
Variance Feedback Drift Detection Method for Evolving Data Streams Mining
Applied SciencesLearning from changing data streams is one of the important tasks of data mining. The phenomenon of the underlying distribution of data streams changing over time is called concept drift. In classification decision-making, the occurrence of concept drift
Meng Han, Fanxing Meng, Chunpeng Li
doaj +1 more source
Journal of Electrical and Computer Engineering, 2020 Data stream mining has become a research hotspot in data mining and has attracted the attention of many scholars. However, the traditional data stream mining technology still has some problems to be solved in dealing with concept drift and concept ...
Xiangjun Li +4 more
doaj +1 more source
Stochastic Evolutionary Dynamics: Drift vs. Draft [PDF]
, 2004 In a small handful of papers in theoretical population genetics, John Gillespie argues that a new stochastic process he calls "genetic draft" is evolutionarily more significant than genetic drift. This case study of chance in evolution explores Gillespie'
Skipper, Robert
core
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Journal of Information Systems and InformaticsFuel consumption represents a significant operational cost in mining, where real-time eco-driving optimization is hindered by dynamic and non-stationary operating conditions. Variations in operator behavior and environmental factors often induce concept
Kusnawi +2 more
doaj +1 more source
AFM Operating-Drift Detection and Analyses based on Automated Sequential Image Processing
, 2007 Nanomanipulation and nanoimaging with Atomic Force Microscopes (AFM) is a popular technique for nano-manufacturing. However, under ambient conditions without stringent environment control, nanomanipulation tasks are difficult to complete because various ...
Qu YL(曲艳丽) +6 more
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