Volumetric absorptive microsampling as an alternative sampling strategy for the determination of paracetamol in blood and cerebrospinal fluid
Sign Up to like & getrecommendations! Published in 2018 at "Analytical and Bioanalytical Chemistry"
DOI: 10.1007/s00216-018-1427-6
Abstract: AbstractIn the field of bioanalysis, dried matrix spot sampling is increasingly receiving interest, as this alternative sampling strategy offers many potential benefits over traditional sampling, including matrix volume-sparing properties. By using a microsampling strategy, e.g.,… read more here.
Keywords: absorptive microsampling; volumetric absorptive; strategy; alternative sampling ... See more keywords
A sampling strategy for the determination of infrared temperature of relevant external body surfaces of dairy cows
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Biometeorology"
DOI: 10.1007/s00484-020-01939-4
Abstract: Infrared thermography is a tool to investigate the welfare of cattle. This study aimed to identify a sampling strategy for recording infrared thermograms in dairy cows, in order to most efficiently determine biologically relevant changes… read more here.
Keywords: sampling strategy; infrared temperature; dairy cows; strategy determination ... See more keywords
Limited sampling strategy for predicting busulfan exposure in hematopoietic stem cell transplantation recipients
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Clinical Pharmacy"
DOI: 10.1007/s11096-017-0481-z
Abstract: Background Optimization of the area under the concentration–time curve (AUC) of busulfan, an essential component of conditioning regimens, improves the outcomes in patients undergoing hematopoietic stem cell transplantation (HSCT). Traditional sampling methods for calculating AUC… read more here.
Keywords: busulfan; cell transplantation; limited sampling; stem cell ... See more keywords
A new sequential space-filling sampling strategy for elementary effects-based screening method
Sign Up to like & getrecommendations! Published in 2020 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2020.02.032
Abstract: Abstract To predict or control the response of a complicated numerical model which involves a large number of input variables but is mainly affected by only a part of variables, it is necessary to screening… read more here.
Keywords: space filling; space; method; elementary effects ... See more keywords
Landslide susceptibility mapping using multiscale sampling strategy and convolutional neural network: A case study in Jiuzhaigou region
Sign Up to like & getrecommendations! Published in 2020 at "Catena"
DOI: 10.1016/j.catena.2020.104851
Abstract: Abstract Landslides are one of the most widespread natural disasters and pose severe threats to people, properties, and the environment in many areas. Landslide susceptibility mapping (LSM) has proven useful in designing landslide mitigation strategies… read more here.
Keywords: network; study; multiscale sampling; landslide susceptibility ... See more keywords
Notes towards an optimal sampling strategy in dendroclimatology
Sign Up to like & getrecommendations! Published in 2018 at "Dendrochronologia"
DOI: 10.1016/j.dendro.2018.10.002
Abstract: Abstract Though the extraction of increment cores is common practice in tree-ring research, there is no standard for the number of samples per tree, or trees per site needed to accurately describe the common growth… read more here.
Keywords: notes towards; tree ring; towards optimal; optimal sampling ... See more keywords
Heterogeneity in macroinvertebrate sampling strategy introduces variability in community characterization and stream trait-based biomonitoring: Influence of sampling effort and habitat selection criteria
Sign Up to like & getrecommendations! Published in 2020 at "Ecological Indicators"
DOI: 10.1016/j.ecolind.2020.106758
Abstract: Abstract Benthic macroinvertebrate assemblages have been of major importance in the biomonitoring of rivers for many decades. To more closely fit with new regulatory purposes, standardized methods of macroinvertebrate field sampling have changed over time… read more here.
Keywords: heterogeneity; sampling effort; influence; sampling strategy ... See more keywords
A hybrid measurement sampling method for accurate inspection of geometric errors on freeform surfaces
Sign Up to like & getrecommendations! Published in 2018 at "Measurement"
DOI: 10.1016/j.measurement.2018.03.013
Abstract: Abstract For economic inspection of geometric errors on freeform surfaces, only a finite sample of points could be measured across the surface. Sampling strategy defines the number and distribution of this finite sample of measurement… read more here.
Keywords: errors freeform; method; strategy; geometric errors ... See more keywords
A multilevel sampling strategy based memetic differential evolution for multimodal optimization
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.01.006
Abstract: Abstract Multimodal optimization, aiming to locate multiple optima in parallel, is a challenging task. In this paper, a multilevel sampling strategy based memetic differential evolution algorithm is proposed to tackle the problem. In the proposed… read more here.
Keywords: evolution; multimodal optimization; multilevel sampling; strategy ... See more keywords
New Time Sampling Strategy for the Estimation of the Parameters in DRSM Models
Sign Up to like & getrecommendations! Published in 2020 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.0c00751
Abstract: There are a substantial number of automated laboratory reactor systems available to run a reaction at different conditions in parallel. These systems are also able to robotically collect a multitud... read more here.
Keywords: time sampling; estimation parameters; new time; parameters drsm ... See more keywords
BTS: a binary tree sampling strategy for object identification based on deep learning
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2021.1980883
Abstract: Object-based convolutional neural networks (OCNNs) have achieved great performance in the field of land-cover and land-use classification. Studies have suggested that the generation of object convo... read more here.
Keywords: bts binary; object identification; strategy object; binary tree ... See more keywords