Search Results For Last Of Us
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Unlike the games, the TV show dives into the outbreak's origins. Episode 2, which aired Sunday, put the spotlight on the terrifying infected. And now they're getting into your Google search, just to keep us all creeped out going until next weekend's instalment.
The Last Of Us on HBO is two episodes old and the hype refuses to die down. If you've already watched episode two and need more Last Of Us in your life, searching the show name on Google right now will infect your screen with the terrifying cordyceps fungus.
Don't panic, it won't bring about the end of the world, nor will it infect your computer. Searching The Last Of Us will simply prompt a mushroom to pop up at the bottom of your results page. Click it, and the tendrils that can be seen all over the show's post-apocalyptic landscape, and emerging from the mouths of some of the infected, will reach out from the bottom of your screen.
A cool way to further hype the show for those who aren't already watching it. It's worth noting that some people may need to add HBO to the end of their search terms to make the red mushroom pop up. Either way, if someone who isn't already watching the show searches for The Last Of Us right now to see what all the fuss is about, they'll be met with a button to click which may well help pull them in.
Not just a look, but a listen, which is just as important. The Clickers in the show have been voiced by the same actors that made the eerie noises they emit in the games. Turns out many people who haven't played the games are eager not to wait a week each time they want to find out what's coming next. Sales of The Last Of Us and The Last Of Us Part 2 have shot through the roof following last week's premiere.
The search giant has launched a fun Google Search Easter egg, which enables fans of the series to see their search results infected by a fungal infection akin to the one that has taken humanity to the brink of extinction in the HBO series.
The series, which is currently seven episodes into its nine-episode first season, has been taking audiences by storm while showing off the incredible acting talents of leads Pedro Pascal and Bella Ramsey. Given that the show has been such a critical success, it seems obvious that millions of viewers have been googling The Last Of Us in order to learn more about the actors, the episode release dates, and the PlayStation games the series is adapting. Now Google users are in for a scare when the search yields results displaying a growing series of fungal tendrils like those controlling the zombified corpses within the show.
In addition to enjoying a high viewership each week, HBO's The Last of Us adaptation has been critically acclaimed by critics, avid gamers of the Naughty Dog property, as well as casual viewers. While The Last of Us continues growing in popularity, HBO's not the only company capitalizing on the show's success. Google is having fun with it as well, as evidenced by a marketing stunt that infects viewers' searches.
Google's marketing gimmick is for desktop platforms like Windows, macOS, Linux and ChromeOS, as well mobile platforms such as iOS and Android. When users search for "The Last of Us" on Google, a red mushroom appears at the bottom of the screen. Users can then click or tap on the mushroom, or simply tap it via the "enter" button on the keyboard. This results in a fungal infection appearing across the bottom of the screen.
Here's how it works: We gather information about your online activities, such as the searches you conduct on our Sites and the pages you visit. This information may be used to deliver advertising on our Sites and offline (for example, by phone, email and direct mail) that's customized to meet specific interests you may have.
Easter eggs are hidden features or messages, inside jokes, and cultural references inserted into media. They are often well hidden, so that users find it gratifying when they discover them, helping form bonds between their creators and finders. Google's employees are encouraged to use 20% of their time for projects of personal interest, and Easter eggs are sometimes created during this. Google avoids adding Easter eggs to popular search pages, as they do not want to negatively impact usability.[3][4]
In late 2011 Google added a graphical calculator to search results,[125][126] using natural language processing to determine that search results might be mathematical in nature.[127][128] Woven into this feature are several, not entirely academic, results which might be considered Easter eggs.[129]
Treasury sells bills, notes, bonds, FRNs, and TIPS at regularly scheduled auctions. Refer to the auction announcements & results press releases for more information. Follow the links below to get the latest information on:
Paste the article title into the search box, or enter citation details such as the author, journal name and the year the article was published in the search box and the PubMed citation sensor will automatically analyze your query for citation information to return the correct citation. The citation sensor incorporates a fuzzy matching algorithm and will retrieve the best match even if a search includes an incorrect term. You do not need to use field tags or Boolean operators.
Names entered using either the lastname+initials format (e.g., smith ja) or the full name format (john a smith) and no search tag are searched as authors as well as collaborators, if they exist in PubMed.
Note: The Results by Year timeline counts all publication dates for a citation as supplied by the publisher, e.g., print and electronic publication dates. These dates may span more than one year; for example, an article that was published online in November 2018 and published in a print issue in January 2019. This means the sum of results represented in the timeline may differ from the search results count.
The relative date range search for publication dates will also include citations with publication dates after today's date; therefore, citations with publication dates in the future will be included in the results.
These filters may exclude some citations that have not yet completed the MEDLINE indexing process because they rely on the Publication Type [pt] data for the citation; publication type data may be supplied by the publisher or assigned during the MEDLINE indexing process. However, the Systematic Review article type filter uses a search strategy to capture non-MEDLINE citations and citations that have not yet completed MEDLINE indexing in addition to citations assigned the systematic review publication type.
To search for systematic reviews in PubMed, use the Systematic Review article type filter on the sidebar, or enter your search terms followed by AND systematic[sb] in the search box. For example, lyme disease AND systematic[sb].
The Systematic Review filter uses a search strategy in addition to the Systematic Review publication type [pt] to find systematic reviews in PubMed. To limit your search to only those citations with the Systematic Review publication type, use the publication type search tag[pt], i.e., systematic review[pt]; however, this may exclude some relevant citations that have not yet completed the MEDLINE indexing process.
The Exclude preprints filter can be added to the sidebar using the Additional Filters button. Alternatively, you can exclude preprints from your search results by including NOT preprint[pt] at the end of your query.
The MEDLINE filter can be added to the sidebar using the Additional Filters button. To use this filter in a query, add medline[sb] to your search. The MEDLINE filter limits results to citations that are indexed for MEDLINE.
When you enter search terms as a phrase, PubMed will not perform automatic term mapping that includes the MeSH term and any specific terms indented under that term in the MeSH hierarchy. For example, "health planning" will include citations that are indexed to the MeSH term, Health Planning, but will not include the more specific terms, e.g., Health Care Rationing, Health Care Reform, Health Plan Implementation, that are included in the automatic MeSH mapping.
PubMed uses a phrase index to provide phrase searching. To browse the phrase index, use the Show Index feature included in the Advanced Search builder: select a search field, enter the beginning of a phrase, and then click Show Index.
Phrases may appear in a PubMed record but not be in the phrase index. To search for a phrase that is not found in the phrase index, use a proximity search with a distance of 0 (e.g., "cognitive impairment in multiple sclerosis"[tiab:0]); this will search for the quoted terms appearing next to each other, in any order.
PubMed applies an AND operator between concepts, e.g., "vitamin c common cold" is translated as vitamin c AND common cold. Enter Boolean operators in uppercase characters to combine or exclude search terms:
Click the title of the citation to go to its abstract page, or change the search results display to Abstract format using the Display options button in the upper right corner of the search results page.
On the filter sidebar, click "Free full text" to narrow results to resources that are available for free on the web, including PubMed Central, Bookshelf, and publishers' websites. Alternately, include free full text[Filter] in your query.
MEDLINE indexed citations include additional supplemental information on the Abstract page such as MeSH terms, publication types, and substances with links to search for these data in PubMed and the MeSH Database.
The Clipboard provides a place to collect up to 500 items from one or more searches. Items saved to the Clipboard are stored in your browser cookies and will expire after 8 hours of inactivity. If you would like to save items for longer than 8 hours or to view on another device, please use Send to: Collections.
Search results can be saved in My NCBI using the Collections feature. There is no limit to the number of collections you may store in My NCBI. In addition, collections can be made public to share with others. 59ce067264