Standards Research Data

These tables provide proof of the authenticity and reliability of the article.

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The file named "2011bench-110certain" is the basic data. The file named "ontology-cloud-uncertainy" is the modified uncertain ontologies. The file named "MerggingResult" is the experimental results of ontology merging.

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The file named "2011bench-110certain" is the basic data. The file named "ontology-cloud-uncertainy" is the modified uncertain ontologies. The file named "MerggingResult" is the experimental results of ontology merging.

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These data include field potential recordings from human pluripotent stem cells-derived cardiomyocytes. The data are recorded by Cardio2D software and analyzed offline by Cardio2D+. The characteristics of the field potentials such as field potential amplitude, field potential duration and beating duration as well as beating frequency, were obtained. Based on these characteristics, the field potentials were categorized to normal or arrhythmic by two electrophysiology experts.

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PCA was then used in each group of variables to construct specific features for the CTT and GT. All extracted components are listed in the appendix.

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There are 3 data files in total for this data set, 1 for Experiment 1 and 2 for Experiment 2. The File Experiment 1.csv contains 12 matrices for Experiment 1, which are the opinions of the decision makers with the pairwise comparison of alternatives in the form of the linguistic preference relations. The File Experiment 2-1.csv contains 51 matrices, which denote the opinions of the decision makers with the pairwise comparison of alternatives in the form of the Linguistic Discrete Region.

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All primes can be indexed by $k$, as primes must be in the form of

$6k+1$ or $6k-1$. In this paper, we explore for what $k$ such that

either $6k+1$ or $6k-1$ is not a prime. The results can sieve primes

and especially twin primes.

 

$k \in S_{l} \Rightarrow 6k-1 \not \in \mathbb{P}$, $k \in S_{r}

\Rightarrow 6k+1 \not \in \mathbb{P},$ where $S_{l} = [-I]_{6I+1} =

[I]_{6I-1} \backslash \min([I]_{6I-1}), I \in \mathbb{N},$ and

$S_{r} = [-I]_{6I-1} \cup [I]_{6I+1} \backslash \min([I]_{6I+1}), I

\in \mathbb{N}.$ That is,

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Lists of file hashes used in SDAC: A Slow-Aging Solution for Android Malware Detection Using Semantic Distance Based API Clustering

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We have labeled 683 images and 2015 bounding boxes in total for now. We used 80% of the dataset which are 546 images for training and the rest of 20% which are 137 images for evaluation, and all images in the dataset have the same resolution at 1920*1080. Table.I summaries the statistics of the dataset, the category of floating leaves region has the most bounding box labels and the category of floating weeds region has the largest average size of bounding boxes.

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