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For All Time (Extended Mix) Fixed


A remix album is an album consisting of remixes or rerecorded versions of an artist's earlier released material. The first act who employed the format was American singer-songwriter Harry Nilsson (Aerial Pandemonium Ballet, 1971).[1] As of 2007, the best-selling remix album of all time is Michael Jackson's Blood on the Dance Floor: HIStory in the Mix (1997).COLABORATION Vol.1 Sahrul Projectt




For All Time (Extended Mix)



Aerial Pandemonium Ballet (1971) by Harry Nilsson is credited as the first remix album.[1] It was released after the successes of "Everybody's Talkin'" and The Point!, when he decided that his older material had started to sound dated.[citation needed] Neu!'s Neu! 2 (1973) has also been described as "in effect the first remix album", as many tracks see the duo "speed up, slow down, cut, doctor, and mutilate the material, sometimes beyond recognition".[2]


In the 1980s, record companies would combine several kinds of electronic dance music, such as dance-pop, house, techno, trance, drum and bass, dubstep, hardstyle, and trap into full-length albums, creating a relatively low-overhead addition to the catalogs and balance sheets.[3] Soft Cell's Non Stop Ecstatic Dancing (1981) and The Human League's Love and Dancing (1982) are credited for inventing the modern remix album.[4] Since this time, this kind of release is not only seen as an easy cash-in for an artist and their label, but also as an opportunity to provide a second lease of life for a record.[5] In the world of reggae music, it is not uncommon for a whole album to be remixed in a dub style.[6][7]


But with the series coming out, it may be the perfect time for those who having been putting off watching The Lord of the Rings trilogy to finally see what every fantasy fan has been talking about for almost 70 years since the first book was released (1954). And to be honest, as sacrilegious as it may be to super fans, the theatrical version is a much better choice for those who are not familiar to the story, characters, or world.


In addition to making a first-time watch more suspenseful, the theatrical version cuts out less important details to help make the story and its characters more digestible and understandable. Once first-time viewers have seen the theatrical versions, if they like them and want to find out more, they could watch the extended versions. However, there are a few changes from book-to-movie that if someone wants to know about, they can read the books.


If a viewer really loves a movie, then why not have more of that movie and those characters they really love? Fans of the story and its characters know how perfectly cast the movies were, so seeing some of the extra scenes where more information was shared about a side character in the extended version is worth the extra time. But again, the theatrical version is a better introduction to Middle Earth.


Oracle provides this Oracle Java SE Support Roadmap, to help you understand maintenance and support options and related timelines. If you are looking for the latest free JDK release from Oracle under an open source license, please see jdk.java.net, or a free under commercial license see oracle.com/javadownload.


Oracle provides Customers with Oracle Premier Support on Oracle Java SE products as described in the Oracle Lifetime Support Policy. For product releases after Java SE 8, Oracle will designate only certain releases as Long-Term-Support (LTS) releases. Java SE 7, 8, 11 and 17 are LTS releases. Oracle intends to make future LTS releases every two years meaning the next planned LTS release is Java 21 in September 2023. For the purposes of Oracle Premier Support, non-LTS releases are considered a cumulative set of implementation enhancements of the most recent LTS release. Once a new feature release is made available, any previous non-LTS release will be considered superseded. For example, Java SE 9 was a non-LTS release and immediately superseded by Java SE 10 (also non-LTS), Java SE 10 in turn is immediately superseded by Java SE 11. Java SE 11 however is an LTS release, and therefore Oracle Customers will receive Oracle Premier Support and periodic update releases, even though Java SE 12 was released.


Oracle does not plan to migrate desktops from Java SE 8 to later versions via the auto update feature. This includes the Java Plugin and Java Web Start. Instead of relying on a browser-accessible system JRE, we encourage application developers to use the packaging options introduced with Java SE 9 to repackage and deliver their Java applications as stand-alone applications that include their own custom runtimes.


The Web Deployment Technology bundled with the Oracle JRE, consisting of the Java Plugin and Java Web Start has a shorter support lifecycle: only five years of Premier Support. The deployment stack was marked as deprecated and flagged for removal in Java SE 9 and Java SE 10. Oracle Java SE 11 and later versions do not include the Deployment Stack. As Java SE 8 will be the sunset release for the Deployment Stack Oracle extended support of Java Web Start on Java SE 8 until the end of Java SE 8 Extended Support. The Java Plugin (Java Applets) remains updated in Java 8, but may be removed at any time in a future release. Oracle Customers can find more information at My.Oracle.Support Note 251148.1 - Java SE 8 End of Java Plugin Support (requires login).


Java SE 8 is the recommended and only supported version of the deployment stack. The Java SE 8 deployment stack may be used to run Java SE 7, or Java SE 8 applications on Windows platforms. The Java deployment technology will not be supported beyond Java SE 8. See the Oracle Lifetime Support Policy for details.


Extended Security Updates for Windows Server include security updates and bulletins rated critical and important, for a maximum period of time from the end of extended support, depending on the version (see below). They are available free of charge for servers hosted in Azure, and available to purchase for servers not hosted in Azure. Extended Security Updates don't include new features, customer-requested non-security hotfixes, or design change requests. For more information, see Lifecycle FAQ - Extended Security Updates.


If you need to keep your servers on-premises, you will need to either build new servers with a supported version of Windows Server and migrate your applications and data, or you will need to upgrade in-place to a supported version of Windows Server. Windows Server can typically be upgraded through at least one, and sometimes even two, versions. For example, Windows Server 2012 R2 can be upgraded in-place to Windows Server 2019. However, if you are running Windows Server 2008 or Windows Server 2008 R2, there is no direct upgrade path to Windows Server 2016 or later. Instead, upgrade first to Windows Server 2012 R2, and then upgrade to Windows Server 2016 or Windows Server 2019. As you upgrade, you still have the option to migrate to Azure, which is covered below. See supported upgrade paths for Windows Server for more information about your on-premises upgrade options.


With the sweeping digitalization of societal, medical, industrial, and scientific processes, sensing technologies are being deployed that produce increasing volumes of time series data, thus fueling a plethora of new or improved applications. In this setting, outlier detection is frequently important, and while solutions based on neural networks exist, they leave room for improvement in terms of both accuracy and efficiency. With the objective of achieving such improvements, we propose a diversity-driven, convolutional ensemble. To improve accuracy, the ensemble employs multiple basic outlier detection models built on convolutional sequence-to-sequence autoencoders that can capture temporal dependencies in time series. Further, a novel diversity-driven training method maintains diversity among the basic models, with the aim of improving the ensemble's accuracy. To improve efficiency, the approach enables a high degree of parallelism during training. In addition, it is able to transfer some model parameters from one basic model to another, which reduces training time. We report on extensive experiments using real-world multivariate time series that offer insight into the design choices underlying the new approach and offer evidence that it is capable of improved accuracy and efficiency. This is an extended version of "Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles", to appear in PVLDB 2022.


Imagine if you will, early settlements with concentric rings depicting inputs and outputs required to sustain their inhabitants. The rings would be, for the most part, overlapping at the boundary of the settlement, as these places were totally dependent upon local resources and the necessity of managing outputs locally. As time, growth and innovation marched forward, however, inputs began to be sourced from farther away and outputs, whether intended or not, began to disperse across greater distances as well. The radii of concentric rings now travel up and out to such great distances that they intersect with rings in other countries, far surpassing local sourcing and sinking capacities. The carrying capacity of local environments is no longer a limiting factor to growth, and the unseen and unsensed dispersements have led to blind spots in how we plan and design cities with rather ubiquitous qualities and patterns today.


The nature-health component of livable cities is a human centric model that can seem to describe nature as an amenity solely for our benefit. Nature, at times and in limited applications, may be nothing more than window dressing for the sake of health benefit or productivity, but the aspiration should be to think of the multi-faceted benefits of healthy natural ecosystems integrated within cities. 041b061a72


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