How small sample size and replication can increase accuracy in experiments: Lessons that marketing may learn from agricultural scientific methodThis paper examines the use of small sample sizes and replication in marketing experimentation, including full factorials, fractional factorials, Latin squares and ...
“Method” introduces our suggested Multi-Task Learning Fusion (MTEFU) algorithm based on deep learning, input feature analysis, and source task classification partitioning method. “Experiment” conducts analysis and experiments on the benchmark dataset. “Discussion” explores potential issues and ...
Previous studies have demonstrated the role of kynurenine in the development of diabetes mellitus (DM)29, and in vitro and in vivo experiments confirmed that kynurenine directly affects glucose metabolism. Kynurenine acts as a systemic integrator of energy metabolism through its effects on adipocytes, ...
scientific studies can be divided into small (or under-sampled) and large studies. Small studies have a lower probability of producing true effects because of the higher chance of type I or II error [2,3]. Specifically, Knudson and Lindsey [4] reported...
Repeating some genomics experiments can increase the chances of achieving the most accurate cancer type. Featured products for sample types FFPE Buffy coat Whole blood Frozen, serum & plasma product OncoScan CNV Plus Assay Designed to cover the entire genome as well as known cancer drivers, this...
The strong influence of ion conduction in polymerization reactions was observed in the initial experiments (Kienle and Race, 1934; Manegold and Petzoldt, 1941). With respect to epoxy resins, Fava (1968) and Wright (1983) reported that sodium and chloride ions were involved, and that these imp...
For strategically important ‘crucial experiments’, preference goes out to the most comprehensive method in which both “desired reliability and power” are involved in the calculation. If there is no possibility of checking against prior effects, an effect can be estimated using a pilot with “de...
For the 100-sample case of training set D, the accuracy of 1D CNN was improved to 93.4%, which was still higher than that of prototype and Siam network, while the accuracy of ISNN method reached 98.1%.The experimental results show that the method in this study achieved higher fault ...
To pilot our method, we calculated LOD scores between donor-matched and donor-mismatched pairs of public datasets from the ENCODE12 database, which hosts data from thousands of diverse NGS experiments (Methods). Classification performance was measured in terms of the false flag rate (FFR), the ...
To verify the generalization performance of the proposed method, we conducted experiments on the bearing fault dataset of Xi'an Jiaotong University and the University of Connecticu gear fault dataset. The data visualization and confusion matrix are shown in Figs. 6, 7, 8 and 9 respectively. The...