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12,662 results for “linking”
Figure 1. Workflow of approach-Hybridization of Fuzzy Clustering and Hierarchical Method for Link Discovery
<p>In this section, we present our model in more detail. Figure 1 gives an overview of the<br> workflow. Our approach is organized in two phases: first, the division of data in two clusters; thenthe determination of the worst cluster and splitting. The number of clusters is unknown, but our<br> algorithms can find this parameter based on the complexity of cluster structure.</p>
Figure 2. Decrease comparisons.-Hybridization of Fuzzy Clustering and Hierarchical Method for Link Discovery
<p>In this paper, we propose a new hybrid algorithm, which combines the features of fuzzy<br> algorithm and hierarchical algorithm. Our algorithm decreases the number of comparisons on link<br> discovery. Using hierarchical algorithm in the first level, the data is divided into two groups. In the<br> second level the worst cluster is determined by matrix memberships and then it split. This stage is<br> repeated until the optimal number of clusters is achieved.Creating typed links, between the entities<br> of different datasets is one of the key challenges on web of data .We presented the clustering<br> approach, which decreases the number of comparisons on link discovery. The results of linking the<br> movies in LinkedMDB to corresponding movies in DBpedia and also linking the places in<br> LinkedGeoData to the places of DBpedia show the it reduces the number of comparisons without<br> loss of recall and precision. Hopefully in the future, we will be able to elevate the proposed method<br> recall to 100 % using the membership matrix.</p>
BRAIN Journal-Two new software behavioral design patterns: Obligation Link and History Reminder-Figure 5. The Sequence Diagram of the "History Reminder" design pattern
<p>Analyzing the two main classes HistoryReminder and HistoryReminderOriginator of the “History Reminder” design pattern, we find that these two classes act as actors of the whole sequence of operations. The sequence diagram of the “History Reminder” design pattern is given below in Figure 5.</p>
BRAIN Journal-Two new software behavioral design patterns: Obligation Link and History Reminder-Figure 4. The Flow chart of the "History Reminder" design pattern
<p>The “History Reminder” design pattern has two main classes: HistoryReminder and HistoryReminderOriginator. The flow chart of the “History Reminder” design pattern is given in Figure 4.</p>
BRAIN Journal-Two new software behavioral design patterns: Obligation Link and History Reminder-Figure 3. The class diagram of the "History Reminder" design pattern
<p>The “History Reminder” design pattern consists of two basic classes. The first one is the HistoryReminder class and the second one is HistoryReminderOriginator class. Here, we have removed the Caretaker class which has been used to restore and save the memento state in the case of the traditional well-known Memento design pattern. The Caretaker object’s responsibility has been passed to the HistoryReminder object itself. It saves and restores the object within itself and returns it to the HistoryReminderOriginator object. The class diagram of the HistoryReminder design pattern is given below in Figure 3.</p>
BRAIN Journal-Two new software behavioral design patterns: Obligation Link and History Reminder-Figure 2. The class diagram of the "Obligation Link" design pattern
<p>Here is the structure of the “Obligation Link” design pattern described through another UML concept, called class diagrams. Contrary to the sequence diagrams which describe the behaviour, class diagrams specify static structural information about a program. The important information for a class, such as its attribute, operation, etc, along with relationship between classes can be specified using a class diagram</p>
BRAIN Journal-Two new software behavioral design patterns: Obligation Link and History Reminder-Figure 1. The sequence diagram of the "Obligation Link" design pattern
<p>A sequence diagram is used to model the flow of the logic of the system. A sequence diagram represents perhaps the most popular Unified Modelling Language (UML) diagram that describes the behavior of a scheme. Figure 1 shows the sequence diagram of “Obligation Link” design pattern.</p>
20 GB in 10 minutes: Data linking across major biodiversity databases: Data supplements
<p>This supplementary data publication contains:</p> <p><strong>links-globi-wd-ott.tsv.gz:</strong> aggregate list of taxon graphs from Open Tree of Life Taxonomy (OTT), GloBI and Wikidata. This tab separated two column table, describe the taxonomic identifiers (e.g., NCBI:9606) that map into OTT, GloBI and Wikidata. For instance, the line "NCBI:9689{tab}WD:Q140" indicates that wikidata links their lion (<em>Panthera leo</em>, https://www.wikidata.org/wiki/Q140) to NCBI's lion (<em>Panthera leo</em>, https://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?mode=Info&id=9689).</p> <p><strong>wikidata-taxon-info20171227.tsv.gz: </strong>a terse 5 column file in tab-separated format of taxon objects extracted from WikiData. (2018). Wikidata dump 2017-12-27 [Data set]. Zenodo. http://doi.org/10.5281/zenodo.1211767 . The columns contain the following:</p> <ol> <li>wikidata taxon item id (e.g., Q140 or https://www.wikidata.org/wiki/Q140)</li> <li>scientific name of taxon item id (e.g., Panthera leo, Mammalia)</li> <li>rank id of the taxon item id (e.g., Q7432 species or https://www.wikidata.org/wiki/Q7432). To retrieve a full list of wikidata taxon rank ids and their common names, you can use sparql to query wikidata (e.g., <a href="https://github.com/globalbioticinteractions/nomer/blob/c3a1f5a2ebfb87ffc67e3bace19b82d96c0d25e8/nomer/src/main/java/org/globalbioticinteractions/nomer/util/WikidataTaxonRankLoader.java">Nomer's WikidataTaxonRankLoader</a> ). </li> <li>parent ids if taxon item id using pipes "|" as separators if there's multiple parents. Please note that some taxon items have multiple parents (e.g., https://www.wikidata.org/wiki/Q774014).</li> <li>external taxonomic identifiers that taxon item link to (e.g. "ITIS:162532|EOL:8266|GBIF:2960|WORMS:125440") . If muliple are present, pipes "|" are used to separate the links. Only a selection of taxonomic schemes was used, namely: NCBI, GBIF, ITIS, WORMS, FISHBASE, IF (index fungorum) and EOL.</li> </ol> <p>The datasets can be recreated by scripts in https://github.com/bio-guoda/guoda-datasets/tree/master/wikidata or <a href="https://doi.org/10.5281/zenodo.1428949">https://doi.org/10.5281/zenodo.1428949</a> .</p>
New Ideas for Brain Modelling 4-Figure 3. Neuron Pairing: an ensemble neuron links with a hierarchal neuron. Also figure 4 in Greer (2016)
<p>The model is also based on the idea of an auto-associative neural network. The Hopfield neural network (Hopfield, 1982), and its stochastic equivalents are auto-associative or memory networks. With the memory networks, information is sent between the input and the output until a stable state is reached, when the information does not then change. These are resonance networks, such as bidirectional associative memory (BAM), or others (Rojas, 1996), but they can only provide a memory recall – they map the input pattern directly to the output pattern. If some of the input pattern is missing however, they can still provide an accurate recall of the whole pattern. They also prefer the data vectors to be orthogonal without overlap. This is however ideal for the binding that only wants to reproduce the base ensemble in the hierarchy.</p>
New Ideas for Brain Modelling 4-Figure 2. One level of linking in a temporal model defines a particular ensemble mix.
<p> The image processing of section 0 has already been tried in de Campos, Babu and Varma (2009), where they tested the full dataset. Their results were better overall, with maybe 55% accuracy and over a larger dataset. As stated however, the tests here are only initial results and it would be expected that some improvement would be possible, especially if the images can be scaled. The recently found paper Kowalski (1972) looks significant and the general architecture (Greer, 2016, figure 2, for example)) could have analogies with bi-directional searches in the and-or with theorem-proving graphs architecture of that paper. As suggested, and-or could work from goals to axioms (the neural network in the general model and theorem-proving from axioms to goals (the concept trees in the general model). The paper Sukanya and Gayathri (2013) models at a higher behaviour level, but it is interesting that the behaviours are considered to be unique (time or sequence-based) sets of events and these event patterns are then clustered, rather than each individual event. The idea of using unique sets of nodes to cluster with has also been used for the symbolic neural network (Greer, 2011).</p>
Data: Linking CRISPR-Cas9 interference in cassava to the evolution of editing-resistant geminiviruses
<p>Dataset of raw SMRT sequence data and processed data including alignments of virus sequences edited using CRISPR-Cas9 technology in cassava plants.</p> <p> </p>
Ammophila arenaria (L.) Link (BR0000010078150)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Ammophila arenaria (L.) Link (BR0000012165179)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Ammophila arenaria (L.) Link (BR0000012425990)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Ammophila arenaria (L.) Link (BR0000009848757)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Ammophila arenaria (L.) Link (BR0000010079003)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Ammophila arenaria (L.) Link (BR0000010078709)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Ammophila arenaria (L.) Link (BR0000012581405)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Ammophila arenaria (L.) Link (BR0000010078495)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Ammophila arenaria (L.) Link (BR0000010078129)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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International Brain Laboratory public data
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OpenNeuro
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