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Test Code : 310-232
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sun Microsystems recently announced that it's distributing and assisting Java DB in keeping with the 100 percent Java expertise, open-supply Apache Derby database. Derby became previously available under its previous name, Cloudscape, from its former owners: Cloudscape, Informix, and IBM. IBM donated the Derby product supply code to the Apache foundation as an open-supply challenge. sun, IBM, other groups, and people acquire been actively worried in construction of the relational database as piece of the Apache Derby group. sun distributes Java DB in lots of of its products, together with the solar Java commercial enterprise device and the sun Java device utility Server. The NetBeans integrated construction atmosphere (IDE) 5.0 furthermore supports Java DB.

Java DB is light-weight at 2 megabytes and embeddable within laptop Java technology purposes. desktop purposes can now entry powerful database storage with triggers, saved tactics, and assist for SQL, Java DataBase Connectivity (JDBC) utility, and Java Platform, commerce version (Java EE, formerly called J2EE), each and every embedded within the identical Java digital machine (JVM). *

this article describes the pass to down load, deploy, combine, and deploy Java DB inside computing device Java know-how applications. A demo software known as tackle booklet demonstrates a pass to drudgery with Java DB as an embedded database.

Contents

   growing the address publication Demo

The address ebook demo makes expend of Java DB to store tackle suggestions. This demo retailers names, telephone numbers, email addresses, and postal addresses. It means that you can create unique wield entries and to retailer, edit, and delete them. The software creates its database in the consumer's domestic listing within an .addressbook subdirectory. The database is embedded with the utility, so there is not any deserve to set up or control a sunder server or equipment. To deploy this embedded database application, they need simplest the software JAR file and the database library JAR file. determine 1 suggests the demo's user interface (UI).

determine 1: wield ebook uses Java DB as an embedded database.

address e-book's leading cadaver window is an AddressFrame type that extends a Java basis classes/Swing (JFC/Swing) JFrame. The AddressFrame is a container for different graphical add-ons and additionally acts as a controller by using managing various hobbies generated via the child components. The baby components are JPanel subclasses, each with a different accountability:

  • AddressPanel represents an wield record. It furthermore gives the UI for modifying current records and growing unique facts. It consists of text fields for the entire predominant homes of an tackle object.
  • AddressActionPanel provides buttons for each and every the major expend situations that the utility helps. This panel generates routine that AddressFrame must address. as an instance, when the person clicks keep, this panel generates an adventure. AddressFrame listens to and handles each and every Important events from this panel.
  • AddressListPanel gives a scrollable checklist of names on the some distance left of the AddressFrame. The record holds ListEntry objects. A ListEntry retailers a database record's exciting identifier. The listing identifier (identification) permits the application to retrieve a complete list's contents into the AddressPanel.
  • The application uses an information access remonstrate (DAO) to isolate the database-certain code. The DAO encapsulates database connections and statements. A DAO is a useful design sample that makes it feasible for unfastened coupling between an application and the underlying persistence-storage mechanism. The software's AddressDao category is an illustration of a DAO. When the AddressFrame edits, saves, or deletes an address object, it each and every the time uses an instance of the AddressDao class. despite the fact the wield booklet software uses Java DB, you might alternate it to expend a completely different database simply with the aid of modifying this one category.

    The easiest pass to net Java DB is to download a replica from the solar Developer community's Java DB website. The binary distribution offers every runt thing you need to start working with embedded database applications. After you down load the binary distribution, you will find a Java DB listing structure that contains the following subdirectories:

  • The demo subdirectory has two demonstration programs. One sample indicates a pass to create a paltry embedded utility. The different suggests a pass to expend Java DB in a client-server atmosphere.
  • The frameworks subdirectory includes utilities for establishing ambiance variables and for creating and working with databases. This directory is not helpful for their demo because their utility will breathe utterly self-contained. No outdoor utilities should breathe used for the tackle publication utility.
  • The javadoc subdirectory includes API documentation. This directory is primarily constructive if you configure your IDE to factor to it because the Java DB API Javadoc.
  • The doctors subdirectory incorporates documentation about the Java DB product itself: setup, administrator, and reference guides.
  • ultimately, the lib subdirectory incorporates the Java DB libraries packaged as JAR data. read the Java DB documentation to determine about the a number of libraries. For an embedded database utility, they can expend only the derby.jar library file.
  • installation Java DB for construction requires handiest that you simply develop the derby.jar file piece of your application classpath. it breathe that standard. you can set the CLASSPATH variable of your Solaris, Linux, home windows, or other host ambiance to consist of the JAR file, otherwise you can comprehend the file as piece of your command-line alternatives when compiling or operating. The tackle ebook demo's ANT script suggests you a pass to encompass this JAR file each and every through challenge edifice if you expend ANT. however, some IDEs, together with NetBeans IDE 5.0, can befriend you configure classpaths.

    Integrating Java DB With NetBeans IDE 5.0

    Most IDEs give a means so as to add libraries to the evolution classpath. celebrate these guidance to add the Java DB libraries to NetBeans IDE 5.0:

  • From the apparatus menu, elect Library manager, as proven in figure 2.

    determine 2: The library supervisor allows you to add third-celebration libraries to your mission.

  • within the Library supervisor window, create a unique library named JavaDBEmbedded, as proven in determine three. click on ok.

    figure three: identify the set of libraries that your assignment will need.

  • to add the derby.jar file to the JavaDBEmbedded library, click on Add JAR/Folder... in the Library manager window. Navigate the file chooser to the derby.jar file and select it as proven in determine four.

    figure 4: Add the derby.jar file to the JavaDBEmbedded library.

  • within the equal Library supervisor window for the JavaDBEmbedded library, select the Javadoc tab. Add the javadoc subdirectory out of your Java DB installing. Now, the Java DB API Javadoc is attainable if you befall to expend the JavaDBEmbedded library on your NetBeans IDE tasks.
  • that you can now add the JavaDBEmbedded library to your NetBeans IDE 5.0 assignment through the expend of the task's property settings. if you bring together, debug, and accelerate the application inside the IDE, the IDE should breathe able to find the necessary derby.jar file.

    To accommodate clients of other IDEs, I actually acquire positioned the derby.jar library in the lib subdirectory of the downloadable wield booklet assignment. The accompanying ANT script can construct and accelerate the demo without any dependencies on the NetBeans IDE.

    Loading the Database Driver

    Loading the JDBC know-how driver begins the database management system. Java DB's drivers arrive with the derby.jar file, so you don't need to download anything. Load the JDBC driver with the aid of referencing it the usage of the type.forName components. The embedded driver identify is org.apache.derby.jdbc.EmbeddedDriver, and you may load it as you might other JDBC drivers.

    class.forName("org.apache.derby.jdbc.EmbeddedDriver");  

    The tackle publication demo reads the driver name from a configuration property file and passes the identify to a loadDriver method. moreover, as outlined earlier, address booklet encapsulates each and every database performance into a data entry remonstrate (DAO), a core Java EE design pattern used to access facts from a whole lot of sources. The DAO pattern works equally well for Java SE purposes dote tackle ebook. perquisite here code snippet shows how AddressDao reads the driver identify and loads the motive force:

    deepest properties bProperties = null; public AddressDao(String addressBookName) this.dbName = addressBookName; setDBSystemDir(); dbProperties = loadDBProperties(); String driverName = dbProperties.getProperty("derby.driver"); loadDatabaseDriver(driverName); ... deepest properties loadDBProperties() InputStream dbPropInputStream = null; dbPropInputStream = AddressDao.class.getResourceAsStream("Configuration.properties"); dbProperties = unique houses(); try dbProperties.load(dbPropInputStream); seize (IOException ex) ex.printStackTrace(); return dbProperties; deepest void loadDatabaseDriver(String driverName) // Load the Java DB driver. are attempting type.forName(driverName); seize (ClassNotFoundException ex) ex.printStackTrace();   Connecting to the Java DB Database

    A JDBC expertise connection identifies a selected database and lets you fulfill administrative projects. tasks consist of starting, stopping, copying, and even deleting a database. the driver supervisor offers each and every database connections.

    Retrieve a connection from the motive constrain supervisor through presenting a URL string that identifies the database and a group of houses that acquire an outcome on the connection's interplay with the database. a extremely regular expend of residences is to affiliate a consumer name and password with a connection.

    All connection URLs acquire the following kind:

    jdbc:derby:<dbName>[propertyList]  

    The dbName portion of the URL identifies a selected database. A database can furthermore breathe in a single of many areas: in the present working directory, on the classpath, in a JAR file, in a particular Java DB database home listing, or in an absolute region in your file system. The easiest pass to control your database location in an embedded environment is to set the derby.system.domestic apparatus property. This property tells Java DB the default domestic location of each and every databases. via setting this property, the tackle e-book demo ensures that Java DB always finds the germane utility database. The application database is named DefaultAddressBook, and it'll exist within the listing indicated with the aid of the derby.device.domestic property. The connection URL for this database would look dote this:

    jdbc:derby:DefaultAddressBook  

    The non-compulsory propertyList is a set of homes that you should pass to the database system. that you can circulate houses into the Java DB apparatus both on the URL itself or as a sunder homes object. If homes are piece of the URL, a semicolon ( ;) should precede each and every property. the most typical residences are these:

  • create=proper
  • databaseName=nameOfDatabase
  • user=userName
  • password=userPassword
  • shutdown=actual
  • To hook up with the DefaultAddressBook database, the demo must first set the derby.device.domestic system property. The demo makes expend of the .addressbook subdirectory of the person's home listing. expend the device type to find out the consumer's home listing. Then expend the category again to set the derby.gadget.domestic property:

    inner most void setDBSystemDir() // opt for the db device directory: <userhome>/.addressbook/ String userHomeDir = equipment.getProperty("consumer.home", "."); String systemDir = userHomeDir + "/.addressbook"; // Set the db device listing. gadget.setProperty("derby.system.domestic", systemDir);  

    as soon as the utility has distinctive the position each and every databases will exist, it may retrieve a database connection. during this instance, breathe conscious that I acquire appended connection homes to the database URL.

    Connection dbConnection = null; String strUrl = "jdbc:derby:DefaultAddressBook;consumer=dbuser;password=dbuserpwd"; try dbConnection = DriverManager.getConnection(strUrl); capture (SQLException sqle) sqle.printStackTrace();  

    however, that you would breathe able to build those properties into a houses object. promenade the houses remonstrate as an dispute when retrieving a connection:

    Connection dbConnection = null; String strUrl = "jdbc:derby:DefaultAddressBook"; properties props = unique houses(); props.put("user", "dbuser"); props.put("password", "dbuserpwd"); are trying dbConnection = DriverManager.getConnection(strUrl, props); catch(SQLException sqle) sqle.printStackTrace();  

    The wield bespeak demo utility doesn't acquire a competent-made database. as a substitute, the application acquire to create the database when it begins. one of the crucial greatest benefits of the expend of an embedded database is that the application -- now not the person -- takes care of the details of setting up a database. The utility can manage the position the database exists, what tables exist, and how permissions are dealt with.

    tackle booklet creates a database referred to as DefaultAddressBook in a subdirectory of the user's domestic listing, and it does so devoid of asking the consumer for any additional information. you could create a brand unique database in Java DB through the expend of the create=actual property when retrieving a connection to a database. as a result of their software will expend the DefaultAddressBook database, they may quiet first create this database. Assuming that the utility has already set the derby.gadget.domestic property as mentioned prior, the utility creates the database and connects to it dote this:

    Connection dbConnection = null; String strUrl = "jdbc:derby:DefaultAddressBook;create=true"; are attempting dbConnection = DriverManager.getConnection(strUrl); snare (SQLException ex) ex.printStackTrace();  

    because the create=proper property is covered, Java DB will try to create the database files for the primary time. creating the database would not basically create any application tables. however, breathe confident you now breathe capable of finding a unique subdirectory named .addressbook/DefaultAddressBook for your domestic directory.

    After it has created the database, the software creates the tables. The demo makes expend of just one wield desk within the default software APP schema. perquisite here SQL code creates the tackle table:

    CREATE table APP.tackle ( identification INTEGER no longer NULL basic KEY GENERATED at each and every times AS id (birth WITH 1, INCREMENT by means of 1), LASTNAME VARCHAR(30), FIRSTNAME VARCHAR(30), MIDDLENAME VARCHAR(30), cell VARCHAR(20), electronic mail VARCHAR(30), ADDRESS1 VARCHAR(30), ADDRESS2 VARCHAR(30), metropolis VARCHAR(30), situation VARCHAR(30), POSTALCODE VARCHAR(20), country VARCHAR(30) )  

    each record has a list identifier or id box. Java DB generates this value for every unique record that it adds to the database. The identity box is the simple key for every wield list.

    All remaining wield record fields comprehend varchar facets of a number of lengths. for instance, the LASTNAME container can comprehend a maximum of 30 varchar characters. The varchar classification is such as a UTF-sixteen Java char code unit.

    The Java know-how code that makes expend of the above SQL observation to create the address desk feels dote the following code. The dbConnection is an identical because the one shown within the outdated code. They effectively promenade it into createTables, create a brand unique statement, and net in palpate with the execute method to accelerate the SQL code on the newly shaped database. The strCreateAddressTable instance variable holds the SQL commentary textual content.

    private boolean createTables(Connection dbConnection) boolean bCreatedTables = false; observation commentary = null; are trying observation = dbConnection.createStatement(); observation.execute(strCreateAddressTable); bCreatedTables = real; trap (SQLException ex) ex.printStackTrace(); return bCreatedTables;  

    At this point, the database and the address desk exist in a subdirectory named .addressbook/DefaultAddressBook to your domestic listing. however which you could browse this subdirectory, forestall modifying any info. in case you edit or delete any of these database files without delay, that you can smash the integrity of your database.

    as soon as the database and its tables acquire been created, your utility can create unique connections and statements so as to add, edit, delete, or retrieve data. In wield publication, these movements are controlled through buttons within the AddressActionPanel. determine 5 shows the available alternate options:

  • New. Create a brand unique address listing.
  • Delete. Delete the displayed tackle list.
  • Edit. Edit the displayed wield checklist.
  • save. store the brand unique or edited address checklist that's displayed.
  • Cancel. Cancel any edits or any try to create a unique list.
  • figure 5: tackle publication has several alternatives for interacting with data.

    The main window of the application is AddressFrame, which acts as a controller and as a view on the very time. It registers itself with the AddressActionPanel to acquire notification when a person clicks anywhere on the action bar.

    the unique command clears the address entry panel and permits the person to edit each and every fields. No SQL commands are issued at this factor, however the UI may quiet allow you to enter a unique tackle.

    The Delete command makes an attempt to delete the at present selected tackle list. AddressFrame retrieves the at the minute selected address identifier from the AddressPanel and uses AddressDao to delete the checklist. The panel calls its own deleteAddress system, which calls the DAO's deleteRecord components with the germane id. After deleting the checklist from the database, the application acquire to delete the ListEntry from the AddressListPanel too.

    private void deleteAddress() int identity = addressPanel.getId(); if (identity != -1) db.deleteRecord(identification); int selectedIndex = addressListPanel.deleteSelectedEntry(); ... ...  

    in the AddressDao, the deleteRecord formula handles the precise deletion of the list from the database. The AddressDao creates a PreparedStatement when it first connects to the database.

    stmtDeleteAddress = dbConnection.prepareStatement( "DELETE FROM APP.handle " + "the position id = ?");  

    The PreparedStatement will furthermore breathe used dissimilar times, and this one uses a parameter to check which checklist to delete. The deleteRecord components executes the update after setting the identity parameter:

    public boolean deleteRecord(int id) boolean bDeleted = false; are trying stmtDeleteAddress.clearParameters(); stmtDeleteAddress.setInt(1, id); stmtDeleteAddress.executeUpdate(); bDeleted = authentic; snare (SQLException sqle) sqle.printStackTrace(); return bDeleted;  

    The Edit command makes it feasible for the person to edit the currently selected address checklist within the AddressPanel. as an example, that you would breathe able to exchange the name, metropolis, or mobilephone number of a saved checklist.

    The reclaim command retrieves either the newly created or edited wield from the AddressPanel and makes an attempt to both replace the present record or create a unique listing. If the consumer has been enhancing a list, retailer will update that checklist with the brand unique counsel. If the user has created a unique checklist, sustain will insert a brand unique listing within the database. unique facts acquire not yet been saved. At this element, their identity territory remains set to the default -1 cost. This value adjustments to an autogenerated, unique record identifier once you shop the checklist.

    here code in AddressFrame will retailer edited and newly created wield statistics through calling the DAO's editRecord or saveRecord components, respectively. Of course, for those who create a unique checklist, the utility must furthermore replace the AddressListPanel.

    inner most void saveAddress() if (addressPanel.isEditable()) wield handle = addressPanel.getAddress(); int id = tackle.getId(); if (identification == -1) identification = db.saveRecord(address); address.setId(identity); String lname = handle.getLastName(); String fname = tackle.getFirstName(); String mname = address.getMiddleName(); ListEntry entry = unique ListEntry(lname, fname, mname, identity); addressListPanel.addListEntry(entry); else db.editRecord(address); addressPanel.setEditable(false);  

    The DAO's editRecord method acquire to update the fields that alternate within the address checklist. since the demo software would not distinguish between edited and unedited fields, it conveniently updates each and every fields within the checklist. Following are the PreparedStatement remonstrate and the editRecord formulation:

    stmtUpdateExistingRecord = dbConnection.prepareStatement( "update APP.address " + "SET LASTNAME = ?, " + " FIRSTNAME = ?, " + " MIDDLENAME = ?, " + " cell = ?, " + " e-mail = ?, " + " ADDRESS1 = ?, " + " ADDRESS2 = ?, " + " metropolis = ?, " + " situation = ?, " + " POSTALCODE = ?, " + " country = ? " + "where identification = ?"); ... public boolean editRecord(address listing) boolean bEdited = false; try stmtUpdateExistingRecord.clearParameters(); stmtUpdateExistingRecord.setString(1, checklist.getLastName()); stmtUpdateExistingRecord.setString(2, record.getFirstName()); stmtUpdateExistingRecord.setString(3, list.getMiddleName()); stmtUpdateExistingRecord.setString(4, list.getPhone()); stmtUpdateExistingRecord.setString(5, list.getEmail()); stmtUpdateExistingRecord.setString(6, list.getAddress1()); stmtUpdateExistingRecord.setString(7, checklist.getAddress2()); stmtUpdateExistingRecord.setString(8, checklist.getCity()); stmtUpdateExistingRecord.setString(9, listing.getState()); stmtUpdateExistingRecord.setString(10, checklist.getPostalCode()); stmtUpdateExistingRecord.setString(11, list.getCountry()); stmtUpdateExistingRecord.setInt(12, checklist.getId()); stmtUpdateExistingRecord.executeUpdate(); bEdited = real; capture(SQLException sqle) sqle.printStackTrace(); return bEdited;  

    Saving a unique wield creates a unique database listing, and that unique checklist has a unique fundamental key or record identifier. when they create the PreparedStatement, they will expose the database that they need to understand the generated keys. notice how they will retrieve a ResultSet of generated keys after inserting the record. The saveRecord method returns the basic key of the newly created checklist.

    stmtSaveNewRecord = dbConnection.prepareStatement( "INSERT INTO APP.handle " + " (LASTNAME, FIRSTNAME, MIDDLENAME, " + " telephone, e mail, ADDRESS1, ADDRESS2, " + " city, STATE, POSTALCODE, country) " + "VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)", statement.RETURN_GENERATED_KEYS); ... public int saveRecord(tackle listing) int identification = -1; are trying stmtSaveNewRecord.clearParameters(); stmtSaveNewRecord.setString(1, checklist.getLastName()); stmtSaveNewRecord.setString(2, checklist.getFirstName()); stmtSaveNewRecord.setString(3, listing.getMiddleName()); stmtSaveNewRecord.setString(four, list.getPhone()); stmtSaveNewRecord.setString(5, checklist.getEmail()); stmtSaveNewRecord.setString(6, listing.getAddress1()); stmtSaveNewRecord.setString(7, record.getAddress2()); stmtSaveNewRecord.setString(8, record.getCity()); stmtSaveNewRecord.setString(9, list.getState()); stmtSaveNewRecord.setString(10, list.getPostalCode()); stmtSaveNewRecord.setString(eleven, checklist.getCountry()); int rowCount = stmtSaveNewRecord.executeUpdate(); ResultSet outcomes = stmtSaveNewRecord.getGeneratedKeys(); if (effects.next()) id = outcomes.getInt(1); seize(SQLException sqle) sqle.printStackTrace(); return identity;   Deploying Your utility

    Now that you've written the utility, you must installation it to clients. Java technology applications can expend numerous deployment options, including Java net birth software, applets, and stand-alone JAR information. I dole the wield ebook software as a stand-on my own software with JAR files.

    The ANT build file, construct.xml, makes expend of a dist goal to create AddressBook.jar. It furthermore areas the database JAR file within the lib subdirectory directly below the AddressBook.jar place. The final distribution structure for the application looks dote this:

    AddressBook.jar lib/derby.jar  

    in many circumstances, applications that expend third-celebration libraries equivalent to derby.jar require an external script to run. The script continually places the third-celebration JAR files on the classpath and then executes the application from its JAR. This components is difficult, despite the fact, because it requires diverse scripts, usually one for each and every supported host working gadget. as an instance, to guide distribution on windows, Solaris, and Linux systems, i might create a run.bat batch file for the home windows platform and a run.csh script for a Solaris or Linux platform. as a substitute, they will avoid these clumsy execution scripts.

    If their construct method comprises classpath suggestions in the AddressBook.jar occur file, that you can accelerate the utility by pass of comfortably passing the AddressBook.jar file on the execution command line. On most systems, which you could additionally simply double-click on the JAR file name in a graphical window. On a command line, you can expend this fundamental execution command:

    java -jar AddressBook.jar  

    This basic deployment and execution situation will furthermore breathe accomplished by means of creating a manifest.mf file that turns into piece of the AddressBook.jar file. which you could comprehend suggestions in the appear that tells the Java programming language interpreter which class carries the main system and what different JAR data may quiet develop into a piece of the classpath. here occur does each, and they will comprehend it when edifice AddressBook.jar.

    occur-version: 1.0 main-class: com.solar.demo.addressbook.AddressFrame classification-direction: lib/derby.jar  

    once your build process generates the application distribution structure proven prior to now, which you could simply dole this structure as a zipper file. users can with no inconvenience unzip the file into any region and accelerate the AddressBook.jar file. The AddressBook.jar file will hold the manifest file outlined past and should expose your runtime atmosphere what JAR info may quiet even breathe on the classpath. Of route, because Java DB is embedded into this software, it must breathe able to find lib/derby.jar with a view to accelerate accurately.

    Working with Java DB is convenient and enjoyable. Java DB makes it feasible to create and dole an embedded database with minimal effort. just abide in mind a number of suggestions to develop your drudgery with Java DB a success:

  • region the derby.jar file to your construction ambiance's classpath in order that your Java expertise compiler and runtime atmosphere can locate the libraries to compile and accelerate the application.
  • Set the derby.gadget.home apparatus property to expose Java DB the position to locate your database. which you could set this property programmatically or on the command line.
  • Create a build system that areas the derby.jar file in a lib subdirectory immediately under your utility's personal directory.
  • Add derby.jar to the application classpath through including a class-course property on your application JAR's pomp up file.
  • Footnote

    The phrases "Java digital machine" and "JVM" spell a virtual machine for the Java platform."

    For greater tips


    Oracle To purchase solar For about $7.4 Billion – grasp On To Your Hats | killexams.com existent Questions and Pass4sure dumps

    Oracle organization is to buy solar Microsystems for $9.50 a share in a deal valued at about $7.4 billion, simply just a few weeks after a deal by using IBM to purchase solar fell apart. It seems dote Oracle will pay a top rate of $2.eighty one a share, or 42%, over sun Micro’s closing cost of $6.sixty nine a share on Friday.

    Oracle observed the deal is valued at $5.6 billion except for money and debt. Oracle is looking solar’s Java “the most crucial software” it has ever obtained. The deal, which is anticipated to nigh in the summer and was unanimously accepted by means of sun’s board of administrators, has vast implications for the longer term openness of Java and MySQL.

    because the ny times elements out, Oracle and solar are two heavyweights that acquire been companions for greater than 20 years, although Oracle has been distancing itself a bit of from sun’s server line in elect of rivals dote HP and Dell currently as a result of solar’s enterprise decline. on account of this deal, Oracle will now rotate into a behemoth in each the application and the hardware market, and the implications this acquisition will acquire on the its closest rivals and the market in familiar will breathe noticable for years to come.

    The legitimate free up, with accent ours:

    Oracle to buy solar

    SANTA CLARA, Calif. April 20, 2009 solar Microsystems (NASDAQ: JAVA) and Oracle service provider (NASDAQ: ORCL) introduced these days they acquire got entered into a definitive contract below which Oracle will acquire solar commonplace inventory for $9.50 per share in cash. The transaction is valued at approximately $7.4 billion, or $5.6 billion web of solar’s cash and debt.

    “We anticipate this acquisition to breathe accretive to Oracle’s earnings with the aid of at least 15 cents on a non-GAAP foundation within the first full 12 months after closing. They assess that the obtained enterprise will develop contributions over $1.5 billion to Oracle’s non-GAAP operating profit within the first 12 months, increasing to over $2 billion within the second year. this may develop the sun acquisition extra profitable in per share contribution within the first year than they had planned for the acquisitions of BEA, PeopleSoft and Siebel mixed,” referred to Oracle President Safra Catz.

    “The acquisition of solar transforms the IT business, combining best-in-class commercial enterprise software and mission-important computing methods,” said Oracle CEO Larry Ellison. “Oracle should breathe the most efficient commerce that may engineer an built-in apparatus – applications to disk – where the entire items wholesome and drudgery collectively so shoppers don't acquire to accomplish it themselves. Their purchasers improvement as their techniques integration expenses proceed down whereas gadget efficiency, reliability and security proceed up.”

    There are mammoth long-time epoch strategic consumer merits to Oracle owning two key solar application belongings: Java and Solaris. Java is among the computer business’s most effective-regularly occurring manufacturers and most widely deployed applied sciences, and it is the most vital application Oracle has ever obtained. Oracle Fusion Middleware, Oracle’s fastest turning out to breathe company, is developed on accurate of sun’s Java language and utility. Oracle can now develop confident continued innovation and investment in Java technology for the improvement of valued clientele and the Java group.

    The solar Solaris working device is the leading platform for the Oracle database, Oracle’s biggest business, and has been for a long time. With the acquisition of sun, Oracle can optimize the Oracle database for one of the vital enjoyable, high-end aspects of Solaris. Oracle is as committed as ever to Linux and different open systems and should continue to uphold and boost their powerful trade partnerships.

    “Oracle and solar acquire been commerce pioneers and nigh partners for greater than twenty years,” mentioned solar Chairman Scott McNealy. “This combination is a natural evolution of their relationship and may breathe an business-defining adventure.”

    “here's a lovely day for solar’s clients, builders, partners and employees across the globe, joining forces with the global leader in commercial enterprise software to pressure innovation and value throughout each element of the expertise marketplace,” stated Jonathan Schwartz, sun’s CEO, “From the Java platform touching nearly each enterprise device on earth, powering billions of buyers on cellular handsets and buyer electronics, to the convergence of storage, networking and computing driven by the Solaris operating system and solar’s SPARC and x64 systems. in conjunction with Oracle, we’ll power the innovation pipeline to create compelling cost to their customer foundation and the market.”

    “sun is a pioneer in commerce computing, and this aggregate acknowledges the innovation and customer success the company has carried out. Their biggest valued clientele were asking us to step up to a broader position to Cut back complexity, risk and cost through offering a highly optimized stack based on requisites,” observed Oracle President Charles Phillips. “This transaction will sustain and boost investments made by using their purchasers, whereas they proceed to drudgery with their companions to supply valued clientele with choice.”

    The Board of directors of solar Microsystems has unanimously permitted the transaction. it's anticipated to nigh this summer time, territory to sun stockholder approval, confident regulatory approvals and typical closing conditions.

    There can breathe a conference convene these days to contend the transaction at 5:30 a.m. Pacific time. buyers can hearken to the conference convene by using dialing (719) 234-7870, passcode 923645. A replay will breathe available for 24 hours after the name ends at (719) 884-8882, passcode: 923645. A are live audio webcast of the name might breathe made attainable at www.oracle.com/investor and a replay can breathe obtainable for seven days after the name ends.

    About Oracle

    Oracle (NASDAQ: ORCL) is the realm’s largest enterprise application enterprise. For extra suggestions about Oracle, tickle visit their web web site at http://www.oracle.com.About sun Microsystems, Inc.

    solar Microsystems develops the applied sciences that vigour the global market. Guided by a unique imaginative and prescient — “The community is the computer” — sun drives community participation via shared innovation, neighborhood construction and open supply management. solar can breathe present in greater than a hundred nations and on the net at http://solar.com.


    Spring unlock models three.0.4 and a pair of.4.3 of Spring internet capabilities | killexams.com existent Questions and Pass4sure dumps

    Spring has released two models of their net capabilities assignment on the equal time: version 3.0.4.unlock because the leading fork of construction, and edition 2.four.3.liberate for upkeep. both versions acquire been upgraded to accelerate on Spring Framework 5.1.0 and to befriend Java eleven.

    Spring web capabilities (Spring-WS) is a made from the Spring community focused on creating doc-pushed net services. It goals to facilitate contract-first soap provider development, allowing for the advent of springy net features the usage of one of the many ways to manipulate XML payloads.

    essentially the most first-rate evolution in the unique Spring net capabilities models is assist for Java eleven. considering Java 9, a yoke of key Java EE applications similar to core XML and soap-based mostly applications, had their visibility decreased, and in Java eleven, these packages were eliminated altogether. for that reason, to develop expend of Spring internet features on Java 9+, developers can now not depend on the JDK featuring key XML and cleaning soap-based libraries.

    a unique Java eleven profile, which incorporates the added dependencies that developers must add to their personal construct file, has been delivered to the Spring internet capabilities construct file. builders should add the dependencies to their construct file when the expend of Java 11. here is a snippet of the construct.xml with the dependencies obligatory for Java 11 on version 3.0.four.free up:

    <dependencies> <dependency> <groupId>com.solar.xml.ws</groupId> <artifactId>jaxws-ri</artifactId> <version>2.three.0</edition> <category>pom</class> </dependency> <dependency> <groupId>org.jvnet.staxex</groupId> <artifactId>stax-ex</artifactId> <version>1.7.8</edition> </dependency> <dependency> <groupId>com.sun.xml.messaging.saaj</groupId> <artifactId>saaj-impl</artifactId> <version>1.3.28</edition> </dependency> <dependency> <groupId>javax.xml.soap</groupId> <artifactId>javax.xml.cleaning soap-api</artifactId> <version>1.four.0</version> </dependency> <dependency> <groupId>javax.xml.ws</groupId> <artifactId>jaxws-api</artifactId> <version>2.three.0</version> </dependency>

    builders who quiet expend Spring web functions 2.four.three.unencumber will not acquire complications the usage of Java 11. This edition simply uses a a bit of older version of the soap API (1.three.8). perquisite here is a snippet of the construct.xml with the dependencies crucial for Java eleven on edition 2.4.3.liberate:

    <dependencies> <dependency> <groupId>com.sun.xml.ws</groupId> <artifactId>jaxws-ri</artifactId> <version>2.3.0</version> <classification>pom</type> </dependency> <dependency> <groupId>org.jvnet.staxex</groupId> <artifactId>stax-ex</artifactId> <version>1.7.8</edition> </dependency> <dependency> <groupId>com.sun.xml.messaging.saaj</groupId> <artifactId>saaj-impl</artifactId> <edition>1.3.28</version> </dependency> <dependency> <groupId>javax.xml.soap</groupId> <artifactId>javax.xml.soap-api</artifactId> <edition>1.three.8</version> </dependency> <dependency> <groupId>javax.xml.ws</groupId> <artifactId>jaxws-api</artifactId> <edition>2.3.0</edition> </dependency>

    both Spring net services types deliver a collection of malicious program fixes and improvements beyond the common Java 11 help, akin to:

  • SaajSoapMessage created with default (empty) SoapEnvelope (SWS-1018)
  • SimpleXsdSchema no longer initialized property produces NullPointerException (SWS-1036)
  • unravel version conflicts of third birthday party libraries (SWS-1030)
  • Ehcache - OWASP Dependency verify considerations (SWS-1033)
  • elements confident to Spring internet services 3.0.4.free up are:

  • Make SimpleXsdSchema supply a greater productive oversight message (SWS-1037)
  • Polish documentation, a group of minuscule corrections on the documentation, reminiscent of a incorrect reference to Gradle Wrapper as an alternative of Maven Wrapper, broken hyperlinks, and so forth. (SWS-1038)
  • upgrade to newest version of Spring (SWS-1039)
  • Spring net features artifacts are staged on maven Important and http://repo.spring.io/. there's additionally an sample on Spring GitHub repo demonstrating how to expend Spring internet capabilities with Spring Boot.


    310-232 Java EE6 Web services Developer(R) Certified Professional Eaxm

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    Java EE6 Web services Developer(R) Certified Professional Eaxm

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    Physical education teachers are not smart | killexams.com existent questions and Pass4sure dumps

    So there is a website out there, Educational Realist (via Steve Sailer), which made me conscious of some statistics from ETS on the intellectual aptitudes of those who passed a teaching certification. This is germane because those who major in education at university are notoriously rather infirm students. The implication here is that teachers are substandard as a whole, a narrative long favored on the American Right, but now spreading in some parts of the Left.

    Below are the verbal and mathematical scores by licensing domain. The solid line represents the mediocre SAT score of a college graduate.

    First, as a whole it seems the teaching profession is a elevated verbal and low math area, with math & science teachers being exceptions. But it really looks to me dote there’s a sharp discontinuity between two groups of teachers here. Physical and special education instructors, as well as elementary school teachers, are less intelligent than the mediocre college graduate. The other fields far less so, and in their domain of specialization they look to breathe superior to the mediocre college graduate.

    Another table furthermore caught my eye. You behold see in the table to the left that teachers are far whiter than their students. It is clear that the “Other” category is mostly Asian from later tables. celebrate that both Asians and Hispanics are underrepresented in the teaching corps by a factor of 7 in relation to the number of Asian and Hispanic students. I suppose someone might start wondering as to whether this is a problem, but last I checked Asian students are not having difficulties despite not having Asian ethnicity teachers. And in any case, no error to the teaching profession, but if there is outreach to Asian Americans to inspirit their children to become teachers there may breathe violent repercussions. There’s enough ostracism already when children determine to proceed graduate school, instead of medical or law school. Trying to change the professional priorities of the community is going to breathe viewed as insensitive.

    To breathe more express at what I’m getting at, below are spell SAT test scores comparing individuals of various races between those who are college bound (not necessarily graduates!) and those who pass teaching certification.

    College bound seniors, 2010 Passed teacher certification, 2002-2005 Asian White Black Asian White Black SAT Math 591 536 429 521 524 459 SAT Verbal 519 528 428 510 534 482

    As you can see, Asian teachers, who presumably acquire a college degree, actually score lower than college bound Asians! This means they’re almost certainly drawn from a below mediocre set of college graduates. For whites there is not so much discrepancy. And interestingly for blacks teachers look to breathe drawn from the higher intermission of the distribution.


    200 universities just launched 600 free online courses. Here’s the full list. | killexams.com existent questions and Pass4sure dumps

    If you haven’t heard, universities around the world are offering their courses online for free (or at least partially free). These courses are collectively called MOOCs or Massive Open Online Courses.

    In the past six years or so, nigh to 800 universities acquire created more than 8,000 of these MOOCs. And I’ve been keeping track of these MOOCs the entire time over at Class Central, ever since they rose to prominence.

    In the past three months alone, over 200 universities acquire announced 600 such free online courses. I’ve compiled a list of them and categorized them according to the following subjects: Computer Science, Mathematics, Programming, Data Science, Humanities, social Sciences, Education & Teaching, Health & Medicine, Business, Personal Development, Engineering, craft & Design, and finally Science.

    If you acquire inconvenience figuring out how to signup for Coursera courses for free, don’t worry — here’s an article on how to accomplish that, too.

    Many of these are completely self-paced, so you can start taking them at your convenience.

    COMPUTER SCIENCE

    Neural Networks and abysmal Learning from deeplearning.ai (taught by Stanford prof. Andrew Ng)

    Algorithms: Design and Analysis from Stanford University (old Coursera course, but hosted without any paywalls directly by Stanford)

    Algorithms: Design and Analysis, piece 2 from Stanford University

    The Unix Workbench from Johns Hopkins University

    Hacking and Patching from University of Colorado System

    Machine Learning from Georgia Institute of Technology

    Linux Server Management and Security from University of Colorado System

    Improving abysmal Neural Networks: Hyperparameter tuning, Regularization and Optimization from deeplearning.ai 

    Structuring Machine Learning Projects from deeplearning.ai

    Sequence Models from deeplearning.ai

    Convolutional Neural Networks from deeplearning.ai

    Accessible Gamification for commerce from Georgia Institute of Technology

    Accounting Analysis II: Measurement and Disclosure of Liabilities from University of Illinois at Urbana-Champaign

    Bayesian Methods for Machine Learning from Higher School of Economics

    Natural Language Processing from Higher School of Economics

    Introduction to abysmal Learning from Higher School of Economics

    Deep Learning in Computer Vision from Higher School of Economics

    Addressing big Hadron Collider Challenges by Machine Learning from Higher School of Economics

    Introduction to Reinforcement Learning from Higher School of Economics

    Introduction to TCP/IP from Yonsei University

    Deep Learning for commerce from Yonsei University

    TV Whitespaces for Museums and Archives from San Jose situation University

    Capstone: Autonomous Runway Detection for IoT from EIT Digital

    Homeland Security & Cybersecurity Connection – It’s Not About the Terrorists from University of Colorado System

    Packet Switching Networks and Algorithms from University of Colorado System

    Proactive Computer Security from University of Colorado System

    Introduction to Cybersecurity for commerce from University of Colorado System

    Cyber Threats and bombard Vectors from University of Colorado System

    Detecting and Mitigating Cyber Threats and Attacks from University of Colorado System

    Cybersecurity Policy for Aviation and Internet Infrastructures from University of Colorado System

    Enterprise System Management and Security from University of Colorado System

    TCP/IP and Advanced Topics from University of Colorado System

    Peer-to-Peer Protocols and Local region Networks from University of Colorado System

    Windows Server Management and Security from University of Colorado System

    Planning, Auditing and Maintaining Enterprise Systems from University of Colorado System

    Homeland Security and Cybersecurity Future from University of Colorado System

    Cybersecurity Policy for Water and Electricity Infrastructures from University of Colorado System

    Fundamentals of Network Communication from University of Colorado System

    Design and analyze Secure Networked Systems from University of Colorado System

    Secure Networked System with Firewall and IDS from University of Colorado System

    Symmetric Cryptography from University of Colorado System

    Cryptography and Information Theory from University of Colorado System

    Cryptographic Hash and Integrity Protection from University of Colorado System

    Asymmetric Cryptography and Key Management from University of Colorado System

    Basic Cryptography and Programming with Crypto API from University of Colorado System

    Classical Cryptosystems and Core Concepts from University of Colorado System

    Архитектура ЭВМ (Computer Architecture) from Saint Petersburg situation University

    Sparse Representations in Signal and Image Processing: Fundamentals from Technion – Israel Institute of Technology

    Sparse Representations in Image Processing: From Theory to drill from Technion – Israel Institute of Technology

    Cutting Edge abysmal Learning For Coders, piece 2 from fast.ai

    Architettura degli elaboratori from University of Urbino

    Liberating Programming: System evolution for Everyone from Weizmann Institute of Science

    Банковское дело и финансы from Sberbank Corporate University

    Digital Accessibility as a commerce drill from Ryerson University

    PROGRAMMING

    Advanced MATLAB for Scientific Computing from Stanford University

    Building Web Applications in PHP from University of Michigan

    Building Database Applications in PHP from University of Michigan

    JavaScript, jQuery, and JSON from University of Michigan

    Introduction to Structured Query Language (SQL) from University of Michigan

    Server-side evolution with NodeJS, Express and MongoDB from The Hong Kong University of Science and Technology

    Database Systems Concepts and Design from Georgia Institute of Technology

    Programming Fundamentals from Duke University

    Python Programming Essentials from Rice University

    Python Data Representations from Rice University

    Parallel Programming in Java from Rice University

    Distributed Programming in Java from Rice University

    Concurrent Programming in Java from Rice University

    3D Models for Virtual Reality from University of London International Programmes

    Building Interactive 3D Characters and social VR from University of London International Programmes

    Introduction to Virtual Reality from University of London International Programmes

    Making Your First Virtual Reality Game from University of London International Programmes

    3D Interaction Design in Virtual Reality from University of London International Programmes

    Software evolution Processes and Methodologies from University of Minnesota

    Agile Software evolution from University of Minnesota ★★★★☆(1)

    Lean Software evolution from University of Minnesota

    Engineering Practices for edifice character Software from University of Minnesota

    Globally Distributed Software Engineering from Delft University of Technology

    Программирование на Python from Moscow Institute of Physics and Technology

    Тонкости верстки from Moscow Institute of Physics and Technology

    Основы HTML и CSS from Moscow Institute of Physics and Technology

    JavaScript, часть 1: основы и функции from Moscow Institute of Physics and Technology

    Основы дизайна мобильных приложений from Moscow Institute of Physics and Technology

    Introducción a la programación orientada a objetos en Java from Universidad de los Andes

    Design Patterns from University of Alberta

    Object-Oriented Design from University of Alberta

    Service-Oriented Architecture from University of Alberta

    Software Architecture from University of Alberta

    Software Design as an element of the Software evolution Lifecycle from University of Colorado System

    Software Design Methods and Tools from University of Colorado System

    Software Design as an Abstraction from University of Colorado System

    Software Design Threats and Mitigations from University of Colorado System

    Video Game Design: Teamwork & Collaboration from Rochester Institute of Technology

    Базы данных (Databases) from Saint Petersburg situation University

    Aprende a programar en C desde cero from Universitat Jaume I

    Introducción a la programación en Python I: Aprendiendo a programar con Python from Pontificia Universidad Católica de Chile

    Fare Apps in classe, ora! from University of Urbino

    Creando Apps. Aprende a programar aplicaciones móviles from Universitas Telefónica

    Introducción al diseño de videojuegos from Universitas Telefónica

    Game Design and Development: Video Game Character Design from Abertay University

    Hacking PostgreSQL: Data Access Methods from Ural Federal University

    HUMANITIES

    Modern Masterpieces of World Literature from Harvard University

    Religion, conflict and Peace from Harvard University

    Ancient Masterpieces of World Literature from Harvard University

    China Humanities: The Individual in Chinese Culture from Harvard University

    Supporting English Learners: Resources for Leaders from Stanford University

    Sports and the University from Stanford University

    Wonders of Ancient Egypt from University of Pennsylvania

    Race and Cultural Diversity in American Life and History from University of Illinois at Urbana-Champaign

    Studying in Italian – Science and Mathematics: a MOVE-ME Project Course from The Open University

    Studying in Italian – Law and Economics: a MOVE-ME Project Course from The Open University

    Faith and Finance from Boston University

    Philosophy, Science and Religion: Philosophy and Religion from University of Edinburgh

    The Birmingham Qur’an: Its Journey from the Islamic Heartlands from University of Birmingham

    Frontières en tous genres from University of Geneva

    Incipit. Curso básico de lengua y cultura latinas from Universitat Politècnica de València

    東亞儒家:人文精神二(East Asian Confucianisms: Humanism 2) from National Taiwan University

    Arab-Islamic History: From Tribes to Empires from Tel Aviv University

    Knowledge Exchange: Using, Protecting and Monetizing Ideas with Third Parties from Leiden University

    El Valle de los Reyes from Universitat Autònoma de Barcelona (Autonomous University of Barcelona)

    ITA101 – Benvenuti in Italia! Orientarsi con l’italiano from Politecnico di Milano

    Re-imaging God in Korean Context from Yonsei University

    Mitos clásicos y mundo actual from Universidad Carlos iii de Madrid

    Philosophy for Children and P.E.A.C.E. from University of Naples Federico II

    L’innovazione sociale per il patrimonio culturale from University of Naples Federico II

    Dante tra poesia e scienza from University of Naples Federico II

    La costruzione dell’Italia from University of Naples Federico II

    La Letteratura latina in età post-augustea from University of Naples Federico II

    Comprendere la filosofia from University of Naples Federico II

    L’Italiano nel mondo from University of Naples Federico II

    Русский как иностранный: B1 (Повторение). Russian as a eccentric language B1 (Revision) from Saint Petersburg situation University

    Китайский для начинающих (Chinese for beginners) from Saint Petersburg situation University

    Ислам: история, культура, практика (Islam: history, culture, praxis) from Saint Petersburg situation University

    Business Start–Up: From conception to Launch from IOC Athlete MOOC

    Safeguarding Athletes from Harassment and abuse from McMaster University

    Exercise Physiology – The cadaver In Motion from IOC Athlete MOOC

    Writing your World: Finding yourself in the academic space from University of Cape Town

    Power of the Pen: Identities and social Issues in Poetry and Plays from University of Iowa

    Power of the Pen: Identities and social Issues in Fiction and Nonfiction from University of Iowa

    Sports Nutrition: consume to Compete from IOC Athlete MOOC

    The craft and Science of Coaching from IOC Athlete MOOC

    Russian History: from Lenin to Putin from University of California, Santa Cruz

    Why Research Matters from Deakin University

    The Qur’an Between Judaism and Christianity from The University of Nottingham

    Words Spun Out of Images: Visual and Literary Culture in Nineteenth Century Japan from The University of Tokyo

    Humphry Davy: Laughing Gas, Literature, and the Lamp from Lancaster University

    (K-12) Teaching Math to English Language Learners from Iowa situation University

    The Spain of Don Quixote from Universidad Autónoma de Madrid

    Paesaggi di Roma Antica. Archeologia e storia del Palatino. from Sapienza University of Rome

    Logic and Paradoxes from Universidad de Navarra

    New Zealand Landscape as Culture: Islands (Ngā Motu) from Victoria University of Wellington

    A History of Violence: From the Middle Ages to Modern Times from University of Newcastle

    Digital Culture and Writing from University of Burgundy

    Livres enluminés à la cour des Sforza from University of Pavia

    Beer Matters from University of Wisconsin – Whitewater

    ga080: memento mori-死を想え- from Tohoku University

    다문화 사회와 공존의 인문학 from Inha University

    pt015: 食文化の本来と将来 from Kokushikan University

    Visión cristiana de la persona humana from Pontifical Catholic University of Valparaíso

    Comunicación cultural en España from Antonio de Nebrija University

    Spanish Across the Americas: Beginners from Universidad Nacional de Córdoba

    The Bible in Light of the Ancient Near East from Bar-Ilan University

    Fantastic Fiction and Where to Find It from Linnaeus University

    Introduction to Kabbalah from Ben-Gurion University of the Negev

    DATA SCIENCE

    Data Science: R Basics from Harvard University

    Causal Diagrams: Draw Your Assumptions Before Your Conclusions from Harvard University

    Principles, Statistical and Computational Tools for Reproducible Science from Harvard University

    Data Science Ethics from University of Michigan

    Statistical Modeling and Regression Analysis from Georgia Institute of Technology

    Big Data Analytics in Healthcare from Georgia Institute of Technology

    Data Analytics Foundations for Accountancy I from University of Illinois at Urbana-Champaign

    Introduction to Genomic Data Science from University of California, San Diego

    Python Data Visualization from Rice University

    Python Data Analysis from Rice University

    Understanding Your Data: Analytical Tools from University of Virginia

    How to Win a Data Science Competition: Learn from Top Kagglers from Higher School of Economics

    Big Data and the Environment from University of Reading

    Predictive Modeling in Learning Analytics from University of Texas Arlington

    Knowledge Inference and Structure Discovery for Education from University of Texas Arlington

    Multimodal Learning Analytics from University of Texas Arlington

    Social Network Analysis (SNA) from University of Texas Arlington

    Connecting Learning Data to help Instructional Design from University of Texas Arlington

    Feature Engineering for Improving Learning Environments from University of Texas Arlington

    Cluster Analysis from University of Texas Arlington

    Learning Analytics Fundamentals from University of Texas Arlington

    Whole genome sequencing of bacterial genomes – tools and applications from Technical University of Denmark (DTU)

    Understanding Data from George Mason University

    Análisis de Datos Experimentales: Utilidades Básicas. from Universidad Politécnica de Madrid

    Advanced Data Mining with Weka from University of Waikato

    Введение в данные from Novosibirsk situation University

    Тренды и классификации from Novosibirsk situation University

    pt010: 高校生のためのデータサイエンス入門 from Shiga University

    MATHEMATICS

    Calculus Applied! from Harvard University

    Differential Equations: 2×2 Systems from Massachusetts Institute of Technology

    Introduction to Probability: piece 1 – The Fundamentals from Massachusetts Institute of Technology

    Introduction to Graph Theory from University of California, San Diego

    What is a Proof? from University of California, San Diego

    Number Theory and Cryptography from University of California, San Diego

    Delivery Problem from University of California, San Diego

    Геометрия и группы from Moscow Institute of Physics and Technology

    Mathematical Foundations for Cryptography from University of Colorado System

    Математические методы в психологии. Основы применения (Mathematical Methods in Psychology: Basics of Applying) from Saint Petersburg situation University

    More Fun with Prime Numbers from Kyoto University

    Precalculus: the Mathematics of Numbers, Functions and Equations from University of Padova

    Advanced Precalculus: Geometry, Trigonometry and Exponentials from University of Padova

    Einführung in die Graphentheorie from ITMO University

    SCIENCE

    The Climate-Energy Challenge from Harvard University

    Hurricanes: What’s Next? from University of Michigan

    Thomas Berry的世界观:地球社区的繁荣 (The Worldview of Thomas Berry: The Flourishing of the Earth Community) from Yale University

    宇宙之旅:展现生命 (Journey of the Universe: The Unfolding of Life) from Yale University

    宇宙之旅:对话 (Journey of the Universe: Weaving scholarship and Action) from Yale University

    Analyze your Genome! from University of California, San Diego

    Introduction to Mechanics, piece 1 from Rice University

    生物学概念与途径 from Peking University

    Simulation Neuroscience from École Polytechnique Fédérale de Lausanne

    Life on Earth: Biomes, Climates, Ecology, and Evolution from Ohio situation University

    Energy and Earth: Fossil Fuels, Alternative, and Renewable Energy from Ohio situation University

    Earth’s Environment: Soil, Water, and Air from Ohio situation University

    Introducción a la Geotermia from Universidad Nacional Autónoma de México

    A Circular Economy of Metals: Towards a Sustainable Societal Metabolism from Leiden University

    Sustainability of Social-Ecological Systems: the Nexus between Water, Energy and Food from Universitat Autònoma de Barcelona (Autonomous University of Barcelona)

    Laboratorio di Programmazione from University of Naples Federico II

    Science & Religion 101 from University of Alberta

    Nutrition and Health: Human Microbiome from Wageningen University

    Principios básicos de divulgación científica from Universidad de Cantabria

    Квантовые вычисления (Quantum computing) from Saint Petersburg situation University

    Неорганическая химия: Введение в химию элементов (Inorganic chemistry: Introduction to chemistry of the elements) from Saint Petersburg situation University

    Введение в физиологию (Introduction to physiology) from Saint Petersburg situation University

    Общие вопросы патологии и патологической анатомии (General Issues of Pathology and Pathological Physiology from Saint Petersburg situation University

    Life in the Universe: Syntheses for Life from Seoul National University

    Wasser in der Schweiz from University of Zurich

    Ecosystems of California from University of California, Santa Cruz

    Physiology: the Science of Life from University of Liverpool

    Discover Best drill Farming for a Sustainable 2050 from University of Western Australia

    Language Testing during Awake Brain Surgery from University of Groningen

    The Scientific Revolution: Understanding the Roots of Modern Science from University of Groningen

    Water Scarcity: crossroad and Response from Colorado situation University Online

    Intro to Acoustics (Part 1) from Korea Advanced Institute of Science and Technology

    Metabolomics in Life Sciences from Osaka University

    Planning for Climate Change in African Cities from Erasmus University Rotterdam

    Autophagy: Research Behind the 2016 Nobel Prize in Physiology or Medicine from Tokyo Institute of Technology

    Introduction to Sustainability and evolution from Deakin University

    Sistemas Coloidales en Alimentos. Del Laboratorio a la Cocina from Universidad Complutense de Madrid

    Sex, Science and Society from University of Newcastle

    Plasmonics: From Fundamentals to Modern Applications from ITMO University

    Why Biology Matters: Basic Concepts from Pompeu Fabra University

    L’eredità di Volta: dalla pila al fotovoltaico from University of Pavia

    Batteries, Fuel Cells, and their Role in Modern Society from Ural Federal University

    Scientific Methods and Research from Ural Federal University

    ga079: 解明:オーロラの謎 from Tohoku University

    Metodología Avanzada en Fisiología Celular from University of Extremadura

    Introducción a las ondas gravitacionales from Universidad Nacional de Córdoba

    Ecosistema y Cultura from Universidad Autónoma de Occidente

    Brewing Microbiology from Oklahoma situation University

    SOCIAL SCIENCES

    Essentials of Program Strategy and Evaluation from Stanford University

    Love as a constrain for social Justice from Stanford University

    The Threat of Nuclear Terrorism from Stanford University

    Democracy and Development: Perspectives from Africa from Massachusetts Institute of Technology

    Network Dynamics of social conduct from University of Pennsylvania

    The Internet and You from University of Michigan

    Fake News, Facts, and Alternative Facts from University of Michigan

    Privacy, Reputation, and Identity in a Digital Age from University of Michigan

    Public Library Marketing and Public Relations from University of Michigan

    Infrastructure Management for Public Libraries from University of Michigan

    Grant Writing and Crowdfunding for Public Libraries from University of Michigan

    Strategic Planning for Public Libraries from University of Michigan

    Introduction to Psychology as a Science 2 – Fundamentals of the mind and conduct from Georgia Institute of Technology

    Introduction to Psychology as a Science 3 – classic and Abnormal conduct from Georgia Institute of Technology

    Introduction to Psychology as a Science 1 – Methodological and Biological Foundations from Georgia Institute of Technology

    Everyday Parenting: The ABCs of Child Rearing from Yale University

    Risk and return and the Weighted mediocre Cost of Capital from Columbia University

    Federal Taxation I: Individuals, Employees, and Sole Proprietors from University of Illinois at Urbana-Champaign

    Federal Taxation II: Property Transactions of commerce Owners and Shareholders from University of Illinois at Urbana-Champaign

    The Science of Parenting from University of California, San Diego

    Introduction to social Research Methods from University of Edinburgh

    电子商务 E-Commerce from Peking University

    Microeconomic Principles: Decision-making Under Scarcity from Arizona situation University

    Stalin and Stalinism in Russian History from Higher School of Economics

    Justice, clemency and Mass Incarceration from Vanderbilt University

    International Affairs: Global Governance from University of Geneva

    Genre : quels enjeux ? Violences, globalisation, biomédecine, sexualités. from University of Geneva

    Trade, Immigration and Exchange Rates in a Globalized World from IE commerce School

    El desarrollo de la relación laboral: Derechos y Obligaciones from Universitat Politècnica de València

    Evaluación de peligros y riesgos por fenómenos naturales from Universidad Nacional Autónoma de México

    經濟學概論:誘因與市場(Introduction to Economics: Incentive and Markets) from National Taiwan University

    Genius. Talent. Golden Mediocrity from Tsinghua University

    Political Economy of Institutions and evolution from Leiden University

    After the Arab Spring – Democratic Aspirations and situation Failure from University of Copenhagen

    ED101: Embracing Diversity from Politecnico di Milano

    SustArch101 – Sustainable edifice design for tropical climates: principles and guidelines for EAC from Politecnico di Milano

    Psicologia dell’apprendimento from University of Naples Federico II

    Il potere dei sondaggi from University of Naples Federico II

    La povertà nella società contemporanea from University of Naples Federico II

    Long-term fiscal Management from University System of Maryland

    Flood Risk Management from RWTH Aachen University

    Психология сознания (Psychology of consciousness) from Saint Petersburg situation University

    Психолингвистика (Psycholinguistics) from Saint Petersburg situation University

    Введение в гендерную социологию (Introduction to the Sociology of Gender) from Saint Petersburg situation University

    Political Governance and Public Policy in Russia from Saint Petersburg situation University

    Constitutional Reforms in Russia from Saint Petersburg situation University

    Налоговое право (Tax law) from Saint Petersburg situation University

    Правовое регулирование отношений в Интернете. Российская перспектива from Saint Petersburg situation University

    Counseling and Psychotherapy Theory from Seoul National University

    Global Prosperity Beyond GDP from University College London

    Principios de Microeconomía from George Mason University

    Understanding the common Data Protection Regulation from University of Groningen

    Responsive Cities from ETH Zurich

    Human Population Dynamics: Births, Deaths and Migrations from McGill University

    Water for the People: Gender, Human Rights, and Diplomacy from Colorado situation University Online

    Concepts in Sustainable Development: an Introduction to the Key Issues from University of Leicester

    Římské právo from Palacký University, Olomouc

    Les transitions énergétique-écologiques dans les pays du Sud from École normale supérieure

    Life of the law from Universidad de Navarra

    Understanding child development: from synapse to society from Utrecht University

    Exploring Economics: Will the Next Generation breathe Worse Off? from Griffith University

    Theory of Change for evolution from University of the Witwatersrand

    Global Studies: the intermission of Globalization? from Grenoble School of Management

    Understanding Violence Against Women: Myths and Realities from University of Strathclyde

    Common Sense Economics For Life (Part 2) from Gus A. Stavros Center

    Common Sense Economics For Life (Part 1) from Gus A. Stavros Center

    Common Sense Economics For Life (Part 4) from Gus A. Stavros Center

    Common Sense Economics For Life (Part 3) from Gus A. Stavros Center

    Сравнение и создание групп from Novosibirsk situation University

    Исследование статистических взаимосвязей from Novosibirsk situation University

    Ser competente digital, para vivir y convivir en la sociedad en red from Universitat Oberta de Catalunya

    Beyond the Ballot: Women’s Rights and Suffrage from 1866 to Today from Royal Holloway, University of London

    Ser ciudadano hoy from Pontifical Catholic University of Valparaíso

    ga077: 都市の災害リスクとその備え from Osaka City University

    Green transport. Vehículos verdes, conectados y automatizados from Antonio de Nebrija University

    Gestión del agua: Introducción al tratamiento de aguas residuales/ Water management: Introduction to the Treatment of Urban Sewage from University of Extremadura

    Governance of cataclysm Risk from University of Extremadura

    International and African Legal Framework on freedom of Expression from University of Pretoria

    Digital Culture/Clutter: Life and Death on the Net from University of Haifa

    EDUCATION & TEACHING

    Integrating Language evolution and Content Learning in Math: Focus on Reasoning from Stanford Graduate School of Education

    Constructive Classroom Conversations: Improving Student-to-Student Interactions from Stanford Graduate School of Education

    Introduction to Online and Blended Teaching from University of Pennsylvania

    CSET Science Subtest I Exam Preparation Resource from University of California, Irvine

    CSET Math Subtest II Exam Preparation Resource from University of California, Irvine

    CSET Math Subtest III Exam Preparation Resource from University of California, Irvine

    University Studies for Student Veterans from Columbia University

    Making Teacher Education germane for 21st Century Africa from The Open University

    AP® Psychology – Course 0: Introduction from The University of British Columbia

    Blended Learning Essentials: Developing Digital Skills from University of Leeds

    Fundamentos TIC para profesionales de negocios: Programación from Universitat Politècnica de València

    Cómo hacer una tesis from Universidad Nacional Autónoma de México

    DTransform101 – D-TRANSFORM: University Strategies in the Digital Age from Politecnico di Milano

    Educar para los nuevos medios: competencia mediática para docentes from Universidad de Cantabria

    Teaching Statistics Through Inferential Reasoning from Friday Institute

    Teaching Foundational Reading Skills from Friday Institute

    (K-12/HE) Implementing UDL on Canvas from University of Tennessee

    Researching learners’ experiences and uses of technology using action research from Oxford Brookes University

    Tinkering Fundamentals: Motion and Mechanisms from Exploratorium

    Tinkering Fundamentals: Circuits from Exploratorium

    Making Apps in Your Classroom, Now! from University of Urbino

    Algorithms in Your Classroom, Now! from University of Urbino

    Algoritmi quotidiani from University of Urbino

    Coding in Their Classrooms, Now! from University of Urbino

    Preparing for College: Writing Proficiency from Parkland College

    Teaching Online: Reflections on drill from Kirkwood Community College

    College Readiness (FL17) – Reading, Writing and Math from Broward College

    Preparing for College: Reading Proficiency from Parkland College

    Preparing for College: Math Proficiency from Parkland College

    Docencia para la capacitación laboral y el aprendizaje a lo largo de la vida. from Universidad de Chile

    Criterios para la Gestión y el Aseguramiento de la Calidad en la Educación Superior from Universidad de Chile

    Hoe overleef ik de eerste weken bij de ATGM (Avans) from Avans University of Applied Sciences

    How to survive the first weeks at ATGM (Avans) from Avans University of Applied Sciences

    Gamification in educazione: nuove strade per apprendere! from University of Florence

    El profesor del siglo XXI from Pontifical Catholic University of Valparaíso

    TIC en la docencia from Universidad CES 

    HEALTH & MEDICINE

    Staying meet from Stanford University

    Interprofessional Education for 21st Century care from Stanford University

    The Oral Cavity: Portal to Health and Disease from University of Pennsylvania

    Epidemiology in Public Health drill from Johns Hopkins University

    Setting the Stage for Success: An Eye on Safety Culture and Teamwork (Patient Safety II) from Johns Hopkins University

    Diagnosing Health Behaviors for Global Health Programs from Johns Hopkins University

    The People, Power, and Pride of Public Health from Johns Hopkins University

    Planning a Patient Safety or character Improvement Project (Patient Safety III) from Johns Hopkins University

    Patient Safety and character Improvement: Developing a Systems View (Patient Safety I) from Johns Hopkins University

    Sleep Deprivation: Habits, Solutions, and Strategies from University of Michigan

    大学生瑜伽 from Peking University

    The Science of Health care Delivery from Arizona situation University

    Introduction to Public Health Engineering in Humanitarian Contexts from École Polytechnique Fédérale de Lausanne

    Causes of Human Disease: Exploring Cancer and Genetic Disease from University of Leeds

    Causes of Human Disease: Nutrition and Environment from University of Leeds

    Causes of Human Disease: Transmitting and Fighting Infection from University of Leeds

    Causes of Human Disease: Understanding Cardiovascular Disease from University of Leeds

    Causes of Human Disease: Understanding Causes of Disease from University of Leeds

    Fixing Healthcare Delivery 2.0: Advanced scrawny from University of Florida

    Health Concepts in Chinese Medicine from The Hong Kong University of Science and Technology

    Creating Moments of Joy for People with Alzheimer’s from Purdue University

    Understanding Depression and Low mood in green People from University of Reading

    Clinical Biosafety Awareness for Public Health Professionals from Emory University

    Intermediate plane Biosafety Training for Public Health Professionals from Emory University

    食品安全與風險分析(Food Safety&Risk Analysis) from National Taiwan University

    Schizophrenia from Wesleyan University

    Viruses & How to Beat Them: Cells, Immunity, Vaccines from Tel Aviv University

    Clinical Supervision: Teaching and Facilitating Learning from University of East Anglia

    Youth Mental Health: Helping green People with concern from University of East Anglia

    Clinical Supervision: Assessing and Providing Feedback from University of East Anglia

    Using Personalized Medicine and Pharmacogenetics from University of East Anglia

    Managing Change in a Healthcare Environment from University of East Anglia

    End-of-Life care for People with Dementia from University of East Anglia

    Using Infection Control to Combat Antimicrobial Resistance from University of East Anglia

    The Role of Personal Assistants in Disability uphold from University of East Anglia

    Introduction to Translational Science from University of Rochester

    Introduction to Health Technology Assessment from University of Glasgow

    Fundamentos de la Seguridad del Paciente from Universidad de Cantabria

    Young People and their Mental Health from University of Cambridge

    Jongeren en hun psychische gezondheid from University of Groningen

    El aula inclusiva hoy en día. Cómo afrontar el Trastorno del Espectro Autista y las Altas Capacidades from Universitat Jaume I

    Everyday Chinese Medicine from The Chinese University of Hong Kong

    Positive Psychiatry and Mental Health from The University of Sydney

    Myocardial Infarction from University of Zurich

    口腔种植学 (Implant Dentistry) from The University of Hong Kong

    Control and Elimination of Visceral Leishmaniasis from London School of Hygiene & Tropical Medicine

    The Lancet Maternal Health Series: Global Research and Evidence from London School of Hygiene & Tropical Medicine

    Life with Diabetes from Curtin University

    Promoción del envejecimiento activo from Universidad Autónoma de Madrid

    ZEKİ-OTİSTİK: Otizmli Bireyleri Teknoloji Kaynaklarıyla Eşleştirmek from University of Bath

    Valencian SMART-ASD: Recursos Tecnològics Adequats per a les Persones amb Autisme from University of Bath

    Curso SMART-ASD: Conectando Tecnologías con Personas con Autismo from University of Bath

    Training healthcare teams in intercultural communication and patient safety from Middlesex University London

    Falling Down: Problematic pith expend in Later Life from Middlesex University London

    Unravelling solutions for Future Food problems from Utrecht University

    Transitioning to Value-Based care from The College of St. Scholastica

    Vona du Toit Model of Creative aptitude from University of Northampton

    Maternity Care: edifice Relationships Really Does reclaim Lives from Griffith University

    Introduction to Stewart’s Model of Physiological Acid-Base Chemistry from University of the Witwatersrand

    Digital Health for Cancer Management: Smart Health Technologies in complicated Diseases from Tapei Medical University

    ART & DESIGN

    A Global History of Architecture from Massachusetts Institute of Technology

    浪漫主义时代的欧洲音乐 European Music in Romantic epoch from Peking University

    Design Thinking for the Greater Good: Innovation in the social Sector from University of Virginia

    Getting Started with Agile and Design Thinking from University of Virginia

    Navigate the Music Industry as an Independent Artist from Berklee College of Music

    Composição: Escrevendo a letra from Berklee College of Music

    Designing Synthesizer Sounds from Berklee College of Music

    Produção final accomplish músico moderno from Berklee College of Music

    A tecnologia da produção musical from Berklee College of Music

    Improvisación de jazz from Berklee College of Music

    Desenvolvendo sua musicalidade from Berklee College of Music

    Improvisação no Jazz from Berklee College of Music

    Introdução à Guitarra from Berklee College of Music

    Прототипирование и тестирование интерфейса from Moscow Institute of Physics and Technology

    Создание концепции интерфейса from Moscow Institute of Physics and Technology

    Introducción a la Producción Audiovisual from Universidad Nacional Autónoma de México

    Organizing for Innovation from HEC Paris

    Lánzate a la Innovación con Design Thinking from The Pontificia Universidad Javeriana

    Fundamentals of Communication Acoustics from RWTH Aachen University

    Applications in Communication Acoustics from RWTH Aachen University

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    Use of machine learning to abridge observation-based screening and diagnosis of autism | killexams.com existent questions and Pass4sure dumps

    Because the AGRE data contained only 11 controls for Module 1, they included each and every other Module 1 individuals with a classification of non-spectrum from the Boston AC in the analysis to bring the total number of controls to 15. They organize that this improved the accuracy of their classifier when compared with the accuracy of only using the 11 controls alone. They then tested the performance of 16 different machine-learning algorithms on the 29 items in Module 1 (Table 2). They chose the best algorithm by comparing the sensitivity, specificity and accuracy (Figure 1). Two algorithms, the alternating determination tree (ADTree)16 and the functional tree,17 operated with flawless sensitivity, specificity and accuracy, resulting in classifiers with 8 and 9 questions, respectively. Because it was their goal to abridge the exam without appreciable loss of accuracy, they selected the ADTree as the optimum algorithm for further analysis and validation. The ADTree classifier correctly classified each and every 612 individuals from the AGRE who previously received a diagnosis of autism by the ADOS Module 1 algorithm, as well as each and every 15 individuals from the AGRE and AC who were given a classification of non-spectrum. The ADTree classifier consisted of 8 items out of the 29 used in the analysis and included A2, B1, B2, B5, B9, B10, C1 and C2 (Table 3).

    Figure 1 Figure 1

    Receiver operating characteristic curves mapping sensitivity versus specificity for the 16 different machine-learning algorithms tested on the ADOS Module 1 training data. They identified the best classifiers as those closest to the point (1, 0) on the graph indicating flawless sensitivity (true positive rate) and one specificity (false positive rate). The best performing models were the ADTree and functional tree (FT). The ADTree was chosen over the FT because it used less items. behold Table 2 for a summary of the 16 machine-learning algorithms used in their analysis.

    Table 3: The eight items organize in the ADTree classifier

    These eight items segregated into two of the three main functional domains associated with autism, language/communication and social interactions, both Important indicators of autism. detail A2 (Frequency of Vocalization Directed to Others) corresponded to the language and communication domain. Items B1 (Unusual Eye Contact), B2 (Responsive social Smile), B5 (Shared Enjoyment in Interaction), B9 (Showing) and B10 (Spontaneous Initiation of Joint Attention) corresponded to the domain of social interaction. Items C1 (Functional Play with Objects) and C2 (Imagination/Creativity) were designed to assess how the subject plays with objects. The eight items formed the elements of a determination tree that enabled classification of either autism or non-spectrum (Figure 2). Two items appeared more than once in the tree (B9 and B10), indicating the possibility that these items acquire a relatively more Important role in classification of autism and that the domain of social interaction may acquire more utility in observation-based screening and diagnosis of autism. Each detail in the tree either increased or decreased a running total statistic known as the ADTree score. A negative score indicated a classification of autism, whereas a positive score yielded the classification of non-spectrum. Importantly, the amplitude of the score provided a measure of self-possession in the classification outcome, with larger absolute values indicating higher self-possession overall, as previously indicated in Freund and Mason.16 In their study, the vast majority of the scores were away from the borderline for both the case and control classes (Figure 3), demonstrating that a majority of the predictions made by the classifier were robust and unambiguous.

    Figure 2 Figure 2

    Diagrammatic representation of the classifier generated by the ADTree algorithm. The ADTree was organize to fulfill best out of the 16 different machine-learning approaches (Figure 1, Table 2). The resulting tree enables one to ensue each path originating from the top node and increment (+) or decrement (−) prediction variables accordingly. In their case, variables with a negative token yielded the classification of autism, whereas those with a positive token resulted in a classification of non-spectrum. The magnitude of the score corresponded to self-possession in the class prediction.

    Figure 3 Figure 3

    The ADTree scores of individuals in the AGRE, Boston AC and SSC data sets plotted against age in years (range from 13 months to 49 years). A majority of the ADTree scores were large, indicating self-possession in the class predictions, and uncorrelated with the ages of the individuals.

    For independent validation of their eight-question classifier, they collated score sheets for Module 1 from the Boston AC and SSC. Here the objective was to determine if the classifier could correctly recapitulate the classification, i.e., autism versus non-spectrum, provided by the ADOS assessments of the individuals recruited to these two independent studies. The classifier correctly classified each and every 110 individuals previously meeting cutoffs for autism in AC. The classifier furthermore performed with elevated accuracy on the SSC dataset misclassifying only 2 of the 336 individuals given a classification of autism in the original SSC (99.7% accuracy). Upon further examination of the two misclassified individuals from SSC, they erudite that their ADTree scores were approximately zero, at 0.1 and 0.039. The low scores, corresponding to low statistical self-possession in the classifications, suggested inadequate classifier power and the potential presence of non-spectrum behaviors in the misclassified subjects themselves.

    Because of the limited number of controls who received any ADOS Module, they elected to simulate 1000 controls by randomly sampling from the group of observed answers in the 15 individuals classified as non-spectrum. This procedure enabled us to construct a string of ersatz score sheets for the ADOS Module 1 that were within the bounds of answers likely to breathe provided by prospectively recruited individuals who would not receive a diagnosis of autism following an ADOS exam. The classifier correctly classified 944 out of the 1000 simulated controls (94.4% accuracy). Upon closer inspection of the 56 simulated individuals misclassified with autism, they organize that each and every but 6 had ADTree scores less than one unit away from the classification of non-spectrum (Figure 3).

    Because of the minuscule number of controls and the imbalance between the numbers of cases and controls, they elected to fulfill a machine-learning procedure called upsampling to assess and rule out biases in the original classifier. Upsampling balances the numbers of cases and controls by progressive sampling from the population of observed data. They constructed a classifier using the ADTree algorithm with the 612 individuals with a classification of autism from the AGRE and 612 individuals with a classification of non-spectrum, of which 11 were from the AGRE, 4 were from the AC and the remaining 597 were from the simulated controls. The resulting classifier correctly classified 609 out of the 612 individuals with autism and each and every 612 individuals with a classification of non-spectrum (99.8% accuracy). The resulting ADTree consisted of seven items, six of which were furthermore in the original classifier derived from the imbalanced data. Additionally, the ensuing ADTree remained largely unchanged from the original (data not shown), lending further uphold to the robustness of their classifier and supporting the notion that the imbalance of classes did not jaundice their results.



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