Results 111 to 120 of about 260,991 (264)

Flexible Time-Triggered Sampling in Smart Sensor-Based Wireless Control Systems

open access: yesSensors, 2007
Wireless control systems (WCSs) often have to operate in dynamic environmentswhere the network traffic load may vary unpredictably over time. The sampling in sensors isconventionally time triggered with fixed periods.
Wenhong Zhao, Feng Xia
doaj   +1 more source

Distributed Adaptive Sampling, Forwarding, and Routing Algorithms for Wireless Visual Sensor Networks

open access: yes, 2009
The efficient management of the limited energy resources of a wireless visual sensor network is central to its successful operation. Within this context, this paper focuses on the adaptive sampling, forwarding, and routing actions of each node in order ...
Kho, Johnsen   +3 more
core  

Adaptive Gibbs samplers [PDF]

open access: yes, 2010
We consider various versions of adaptive Gibbs and Metropolis- within-Gibbs samplers, which update their selection probabilities (and perhaps also their proposal distributions) on the fly during a run, by learning as they go in an attempt to optimise
Rosenthal, Jeffrey S. (Jeffrey Seth)   +1 more
core  

Engineered extracellular vesicles enriched with the miR‐214/199a cluster enhance the efficacy of chemotherapy in ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang   +12 more
wiley   +1 more source

DWARFB: A Dynamic Weight-Adjusted Random Forest Boost for Predicting Financial Distress in Chinese Listed Companies

open access: yesMathematics
Two key challenges in financial distress prediction are pronounced class imbalance between majority and minority classes and the persistent misclassification of hard-to-learn samples.
Guodong Hou   +3 more
doaj   +1 more source

A multi-dimensional adaptive sampling algorithm and its application to Fermi surfaces

open access: yes, 2019
The aim of this research is to develop an N -dimensional adaptive sampling algorithm to efficiently sample functions, meaning that with fewer samples the same accuracy is achieved compared to what homogeneously spaced samples would achieve.
Hoofwijk, Jorn (author)
core  

Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer

open access: yesMolecular Oncology, EarlyView.
COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann   +61 more
wiley   +1 more source

Knowledge-Driven Adaptive Direct Sampling for Reconstructing Geochemical Fields Under Sampling Bias

open access: yesISPRS International Journal of Geo-Information
Deriving meaningful mineralization information from raw geospatial datasets is fundamental to the sustainable evaluation and management of mineral resources.
Yameng Liu   +5 more
doaj   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch   +13 more
wiley   +1 more source

An Adaptive Multi-Fidelity Surrogate Model for Uncertainty Propagation Analysis

open access: yesApplied Sciences
To quantify the uncertainties in multi-dimensional flow field correlated responses caused by uncertain model parameters, this paper presents an adaptive multi-fidelity model based on gappy proper orthogonal decomposition (Gappy-POD), which integrates the
Wei Xiao   +5 more
doaj   +1 more source

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