Метод Submit вернет числовой индексированный массив

TC systems should provide as much data as possible in each launch to maximize the chance that the TP will have the data it needs to function properly. TC systems may have sandboxing features that limit the sending of certain LTI data elements only to «approved» TPs. It is outside the scope of the specification to define the nature of the TC sandboxing of LTI launches. TPs should be prepared to work with partial information — either because the TC does not have the information or the TC has been configured not to share the information with the TP. This indicates that this is a basic launch message. This allows a TP to accept a number of different LTI message types at the same launch URL. This parameter is required. This indicates which version of the specification is being used for this particular message. Since launches for version 1.1 are upwards compatible with 1.0 launches, this value is not advanced for LTI 1.1. This parameter is required. This is an opaque unique identifier that the TC guarantees will be unique within the TC for every placement of the link. If the tool / activity is placed multiple times in the same context, each of those placements will be distinct. This value will also change if the item is exported from one system or context and imported into another system or context. This parameter is required. This is the clickable text that appears in the link. This parameter is recommended. A plain text description of the link’s destination, suitable for display alongside the link. Typically no more than a few lines long. This parameter is optional. Uniquely identifies the user. This should not contain any identifying information for the user.
InfluxDB is an open source time series database. Elastic is a NoSQL database built for storing and searching through logs, or very granular records of server performance, API requests, and internal stuff like that. Elasticsearch is commonly used with Kibana, its sister data visualization tool. Solr is also a NoSQL database built for storing and searching through logs. Oracle was the first commercial relational database ever. Today it’s got the reputation of being the slowest moving company in California, but nevertheless powers the apps of tons and tons of Fortune 50 companies. Like MSSQL, this is a database for massive organizations and not startups. CockroachDB is a distributed SQL database: it allows you to scale out a SQL database to multiple servers, which is a bit difficult to do on your own. It’s compatible with Postgres in terms of how you query it, but is built on a proprietary key-value store (although it’s open source). Vertica is a columnar analytics database built for really big datasets. It has a pretty standard SQL interface that supports common analytical functions like regressions, pattern matching, geospatial stuff. Teradata is an enterprise-focused managed cloud data warehouse, sort of like Snowflake. PostGIS is a PostgreSQL extension for storing and working with geographical data. Kinetica is an enterprise-focused database for storing geospatial and time series data. Oracle Spatial Database is an enterprise-focused database for storing geospatial data, from our friends at big red. VAST combines the transactional performance of a database with the query performance of a data warehouse. It’s a database, data warehouse, and data lake all in one. Fun fact, the data in this table is actually stored in a database in the cloud. PostgreSQL on Supabase to be exact. Is there a database not on the list that you’d like to see explained?
An interaction annotation is composed of the interaction type, name of the interactor, assay type (e.g., Two-Hybrid), annotation type (e.g., manual or high-throughput), and a reference, as well as other experimental details. Click «Interaction Details» to view all interaction annotations and evidence for this locus, including an interaction visualization. Regulation The number of putative Regulators (genes that regulate it) and Targets (genes it regulates) for the given locus, based on experimental evidence. This evidence includes data generated through high-throughput techniques. Click «Regulation Details» to view all regulation annotations, shared GO enrichment among regulation Targets, and a regulator/target diagram for the locus. Expression Expression data are derived from records contained in the Gene Expression Omnibus (GEO), and are first log2 transformed and normalized. Referenced datasets may contain one or more condition(s), and as a result there may be a greater number of conditions than datasets represented in a single clickable histogram bar. The histogram division at 0.0 separates the down-regulated (green) conditions and datasets from those that are up-regulated (red). Click «Expression Details» to view all expression annotations and details for this locus, including a visualization of genes that share a similar expression pattern. Summary Paragraph A summary of the locus, written by SGD Biocurators following a thorough review of the literature. Links to gene names and curated GO terms are included within the Summary Paragraphs. Literature All manually curated literature for the specified gene, organized into topics according to their relevance to the gene (Primary Literature, Additional Literature, or Review). Click «Literature Details» to view all literature information for this locus, including shared literature between genes.
If a user logs in using any other type of connection (including custom database connections), Auth0 stores information provided by the external identity provider for future queries. When an end user’s account is deleted, their user profile, included metadata, is removed. Here is a list of GDPR regulations and how Auth0 can help you comply with them. You can use Auth0 to ask your users for consent upon signup (using either Lock or a custom form) and save this information at the user profile. You can later update this information using the Management API. To learn more, read GDPR: Conditions for Consent. With Auth0, you can access, edit, and delete user information, either manually or using our API. To learn more, read GDPR: Right to Access, Correct, and Erase Data. There are several Auth0 features than can help you achieve these goals, like account linking, user profile encryption, and more. To learn more, read GDPR: Data Minimization. According to Article 20 of GDPR, users have the right to receive the personal data concerning them in a structured, commonly used and machine-readable format. You can export user data, stored in the Auth0 user store, either manually or programmatically. Raw data from Auth0 can be exported in JSON format (which is machine-readable). To learn more, read GDPR: Data Portability. There are several Auth0 features than can help you meet this requirement, like user profile encryption, brute-force protection, breached password detection, step-up authentication, and more. To learn more, read GDPR: Protect and Secure User Data. Make sure that you monitor any log streaming solution you use to send log data to logging tools with reporting capability. Was this article helpful?
This section tells you how to set the locale in Windows, Mac OS X, and Linux. You can change the locale using either a locale-specific shortcut or the Google Chrome UI. The shortcut approach is quicker, once you’ve set it up, and it lets you use several languages at once. 1. Make a copy of the Google Chrome shortcut that’s already on your desktop. 2. Rename the new shortcut to match the new locale. 3. Change the shortcut’s properties so that the Target field specifies the —lang and —user-data-dir flags. 4. Launch Google Chrome by double-clicking the shortcut. You can create as many shortcuts as you like, making it easy to test your extension in multiple languages. Note: Specifying —user-data-dir is optional but handy. Having one data directory per locale lets you run the browser in several languages at the same time. A disadvantage is that because the locales’ data isn’t shared, you have to install your extension multiple times — once per locale,
which can be challenging when you don’t speak the language. For more information, see Creating and Using Profiles. To change the locale on Mac, you use the system preferences. To change the locale on Linux, first quit Google Chrome. Then, all in one line, set the LANGUAGE environment variable and launch Google Chrome. You can find simple examples of internationalization in the examples/api/i18n directory. For a complete example, see examples/extensions/news. For other examples and for help in viewing the source code, see Samples. The following code gets a localized message from the browser and displays it as a string. It replaces two placeholders within the message with the strings «string1» and «string2». For more information about placeholders, see the Locale-Specific Messages page. For details on calling getMessage(), see the API reference.
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