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This brought about semi-automatic methods that contain some human-computer interactions to balance quality.

Normally, they use methods that contain two linguistic levels of knowledge: morphological and syntactic, while some few contributions only use the morphological level or purely statistical resources.

When many spatial regions are under surveillance, aberration detection methods that contain spatial information may be more powerful, but they require an understanding of the nature of the spatial pattern, including how it changes over time.

Even though the approximate accuracy seems low, it is in accordance with the accuracy for methods that contain only half- or full-sib information (at least for lines W1 and WB) [ 11, 39].

In addition, compared with LncRNA2Target, LncReg pays more attention on data obtained from laboratory methods that contain precise mechanisms and accurate information of regulatory relationships and contain more entries collected from laboratory methods (1081 vs. 396) that have been validated through various experimental methods, such as qRT-PCR, western blot, RNA-IP, ELISA, activity assay, etc.

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Each of these studies used subsets of Macroben (extracted so data were collected by comparable methods) that contained well over 3,000 samples and 2,200 species, making them among the largest empirical datasets used to test these patterns.

Only the three clones (FJ, FBM and FBP; for symbols see Methods) that contained stilbenes and emodin in higher concentrations were analysed for organic substances.

A pack boriding method that contained a silicon carbide boron carbide powder pack mixture was utilized in this study.

Gold nanoparticles can be generally synthesized by the citrate reduction (CR) method [10], the Brust-Schiffrin method [11], and the modified Brust-Schiffrin method that contains different sulfur-containing ligands.

To address this issue, in the present study, we present a computer vision method that contains three machine learning models for the large-scale and automatic evaluation on the qualities of the urban environment by leveraging state-of-the-art machine learning techniques and wide-coverage street view images.

Generalized MDR is a hybrid method that contains elements of both categories [ 5].

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