New features in the Jaguar release included: Jaguar was a paid upgrade for all Mac OS X users, though Apple offered free upgrades for K–12 teachers in the United States. Version 10.2 was the first Mac OS X version to use its internal code name, Jaguar, as part of its marketing strategy. Easier CD and DVD burning in Finder app.In addition to system-wide performance improvements, Apple introduced a few new features: Mac OS X version 10.1, internally named Puma, was offered to version 10.0 users as a free upgrade because many critics felt Cheetah was not ready for public release. Version 10.1: Puma Source: 512 PixelsĬost: $129 USD (single license free for Version 10.0 users) However, many users felt it still had room for improvement with its responsiveness, reliability, and variety of applications it offered. Rather than introducing many new features, this version addressed the criticisms and flaws found in the public beta. The public beta included a suite of native apps that can still be found in the operating system today:Ĭheetah is the internal code name Apple gave to the first official release of Mac OS X version 10.0. ![]() As is the case with many public beta versions of software, it was meant to find various bugs and flaws before the operating system’s final release. The public beta also introduced the Dock and menu bar, which created a unique navigation experience. It was the first instance of Apple’s Aqua, a GUI and visual theme that offered a new font set, app icons, and other features. Kodiak is the internal code name Apple gave to its Mac OS X public beta.
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Over the course of the show that kicked off the artist’s sold-out Takeøver Tour, fans learned to fly as they soared around larger than life Tyler and Josh playing drums and piano during “Car Radio,” experienced anti-gravity while dancing to “The Outside,” rocked out to “Heathens” in a warehouse where they could complete challenges to grow 10x in size and knock over furniture and other items, and spun on records inside the artists’ heads in outer space during “Stressed Out.” You can check out a full version of the concert here:įrameborder="0" allow="accelerometer autoplay clipboard-write encrypted-media gyroscope picture-in-picture" allowfullscreen>Īhead of the show, users had the unique opportunity to compete in metaverse-spanning pre-concert quests involving some of the most popular experiences on Roblox - Ultimate Driving: Westover Islands, Creatures of Sonaria, and World // Zero - which pre-concert collectively had over 400 million visits and now boast nearly 500 million. Throughout the show, avatars danced to the beat with custom emotes and adorned themselves with bespoke virtual merchandise (“verch”), including more than 30 exclusive custom-designed pieces available for purchase.Īs the high-fidelity experience continued, for the first time ever fans dictated the setlist by voting for the next song to follow. ![]() to kick off the band’s sold-out Takeøver Tour with an exclusive virtual concert in the metaverse where fans could choose their own setlist order for the first time! In case you missed it, a recording of the full show can be found below.īandmates Tyler Joseph and Josh Dun kicked off the concert with a streetside performance of their viral hit, “Saturday.” Fans brought the black and white streets to life by tossing paint-filled balloons at the stage and spraypainting the brick walls with logos and icons. The five-song interactive and evolving concert captivated people from over 160 countries, with nearly 70% of attendees coming together from outside of the U.S. If you need to take a break during a busy week or for a vacation, you can pick back up where you left off whenever works for you.įor more information on our virtual piano song tutorials and lessons, contact Pianu at or sign up for your lessons today.From September 17-19, Twenty One Pilots took the virtual stage, sky, and garage with a pioneering, interactive virtual concert experience on Roblox. If you work a 9-5 job, you can still learn to play piano after business hours, when most studios would be closed. And you can do it whenever works best for you. This way, you can learn from the comfort of your home. Instead of opting not to learn at all, you can take virtual lessons. ![]() ![]() ![]() Many people may want to learn to play the piano but do not have the time for consistent, in-person lessons. At Pianu, we can help you learn to play the piano virtually. This way, you can learn how to play the piano from the comfort of your own home. If you or your children want to take piano lessons but do not have the time to drive to a studio to take lessons every week, consider virtual piano lessons.
![]() ![]() Once it’s found the duplicate pictures, you can review and remove them with just one click. If you’re looking for a duplicate photo finder that finds all kinds of other duplicated files as well as similar photos, this neat Mac app from Nektony is a great option.ĭuplicate File Finder quickly searches your hard drive for similar photos – whether that’s exact duplicates or similar images that you may have shot in succession with burst more. This is the best duplicate photo cleaner online, and don’t worry if you’ve got a Windows device-I’ve got plenty of photo cleaning apps for you to pick from! Gemini 2 is our choice of best duplicate photo finder software that streamlines your photo file management and optimises your hard disk space effortlessly. Fortunately, the duplicate cleaner moves selected files to the system trash or a designated folder rather than deleting them altogether – you’re always in complete control of the final deletion process.įine-tuning the search parameters before and after a scan is painless and responsive. Once you identify the folders or drives to be cleaned, Gemini 2 uses various parameters to identify copies versus original files.Īfter cleaning up, it provides a diagnostic report that includes any found duplicates and recovered hard disk space. It’s fast and efficient and the interface is well-designed and attractive – typical of MacPaw products. ![]() Gemini 2 has a mobile app that is the best duplicate photo finder for iPhone and iPad. You don’t have to be stuck dealing with overeager storage transfers on iOS devices. Gemini 2 will also locate duplicate iTunes files and delete them to free up some valuable hard disk space – iOS devices are notorious for transferring and storing much more than is actually necessary. If duplicate photos plague your Mac, Gemini 2 is an optimised and intuitive choice that takes the hassle out of locating all those duplicates that tend to fall between the cracks. The Mac-only application is a significant upgrade from the previous version. Developed by MacPaw, Gemini 2 is our best duplicate photo finder and cleaner app – it does what it promises and does it well. ![]() DESeq2 integrates methodological advances with several novel features to facilitate a more quantitative analysis of comparative RNA-seq data using shrinkage estimators for dispersion and fold change. Here we present DESeq2, a successor to our DESeq method. We, therefore, developed a statistical framework to facilitate gene ranking and visualization based on stable estimation of effect sizes (LFCs), as well as testing of differential expression with respect to user-defined thresholds of biological significance. Furthermore, the number of genes called significantly differentially expressed depends as much on the sample size and other aspects of experimental design as it does on the biology of the experiment – and well-powered experiments often generate an overwhelmingly long list of hits. Ranking by fold change, on the other hand, is complicated by the noisiness of LFC estimates for genes with low counts. However, small changes, even if statistically highly significant, might not be the most interesting candidates for further investigation. Often the goal of differential analysis is to produce a list of genes passing multiple-test adjustment, ranked by P value. The most common approach in the comparative analysis of transcriptomics data is to test the null hypothesis that the logarithmic fold change (LFC) between treatment and control for a gene’s expression is exactly zero, i.e., that the gene is not at all affected by the treatment. baySeq and ShrinkBayes estimate priors for a Bayesian model over all genes, and then provide posterior probabilities or false discovery rates (FDRs) for differential expression. DSS uses a Bayesian approach to provide an estimate for the dispersion for individual genes that accounts for the heterogeneity of dispersion values for different genes. BBSeq models the dispersion on the mean, with the mean absolute deviation of dispersion estimates used to reduce the influence of outliers. Our DESeq method detects and corrects dispersion estimates that are too low through modeling of the dependence of the dispersion on the average expression strength over all samples. edgeR, moderates the dispersion estimate for each gene toward a common estimate across all genes, or toward a local estimate from genes with similar expression strength, using a weighted conditional likelihood. Many methods for differential expression analysis of RNA-seq data perform such information sharing across genes for variance (or, equivalently, dispersion) estimation. In high-throughput assays, this limitation can be overcome by pooling information across genes, specifically, by exploiting assumptions about the similarity of the variances of different genes measured in the same experiment. Inferential methods that treat each gene separately suffer here from lack of power, due to the high uncertainty of within-group variance estimates. ![]() This task is general: methods for it are typically also applicable for other comparative HTS assays, including chromatin immunoprecipitation sequencing, chromosome conformation capture, or counting observed taxa in metagenomic studies.īesides the need to account for the specifics of count data, such as non-normality and a dependence of the variance on the mean, a core challenge is the small number of samples in typical HTS experiments – often as few as two or three replicates per condition. An important task here is the analysis of RNA sequencing (RNA-seq) data with the aim of finding genes that are differentially expressed across groups of samples. The rapid adoption of high-throughput sequencing (HTS) technologies for genomic studies has resulted in a need for statistical methods to assess quantitative differences between experiments. |