Possibly one of the Similarity Report’s most-talked-about features is the similarity score, which indicates the percentage of a paper’s content that matches Turnitin’s database. While some institutions and publishers may setthresholds for acceptable scores, the score alone doesn’t tell the who...
acceptable number of normed associates. In order to reduce the possibility that a participant might simply guess the target word given the cue word, pairs were restricted to have a forward strength of association less than 0.5, meaning that fewer than half of people who saw a given cue word...
Consequently, establishing a similarity value threshold or cutoff value is the further action which sets the minimum acceptable similarity score required for a compound to be considered a potential hit. Compounds in the database that surpass the threshold are ranked based on the similarity scores, ...
Comparing two people's names to determine how similar they are and providing a score or a similarity percentage is not an easy thing to do for a computer. In order to do that in an acceptable way a lot of factors have to be taken into consideration, such as how we (human beings) per...
Meaning there’s over 10 million folks that chose it over the other options. For those that have been using macOS for years and years, it’s what they’re familiar with. So much so that, like air, they may come to think it doesn’t have a lot...
The resulting individual similarity measures are then integrated into a single score. This scoring function has a generic form and is flexible enough to address various biological questions, by selecting different parameter settings. Results Algorithm We align the pathways from two species in a strict...
The similarity score of keyword semantic graphs and candidate semantic graphs are calculated based on conceptual graph operations. The experiments are arranged with 100 documents in domains such as business, computer and psychology. We compared the experimental results to the author-determined keywords ...
we use the topological fingerprint of the RDKit. On the other hand, the target-target similarity is computed based on the protein sequences, using the normalized Smith-Waterman score as explained in the Eq. (3). This guarantees to calculate the optimal score between any two protein sequences...
content. This is a simplistic assumption that is not always true but generally yields acceptable albeit imperfect results. This is what we will verify in this project. Therefore, it is necessary to calculate the histogram of an image and compare these histograms. ...
The resulting individual similarity measures are then integrated into a single score. This scoring function has a generic form and is flexible enough to address various biological questions, by selecting different parameter settings. Results Algorithm We align the pathways from two species in a strict...