Acid attack victims find strength in numbers

Leiden, Jul 2: Astronomers have discovered a luminous galaxy caught in the act of reionizing its surrounding gas only 800 million years after the Big Bang.

The research, led by Romain Meyer, PhD student at UCL in London, UK, has been presented at the virtual annual meeting of the European Astronomical Society (EAS).

Studying the first galaxies that formed 13 billion years ago is essential to understanding our cosmic origins. One of the current hot topics in extragalactic astronomy is 'cosmic reionization,' the process in which the intergalactic gas was ionized (atoms stripped of their electrons).

Cosmic reionization is similar to an unsolved murder: We have clear evidence for it, but who did it, how and when? We now have strong evidence that hydrogen reionization was completed about 13 billion years ago, in the first billion years of the universe, with bubbles of ionized gas slowly growing and overlapping.

The objects capable of creating such ionized hydrogen bubbles have however remained mysterious until now: the discovery of a luminous galaxy in which 60-100 percent of ionizing photons escape, is likely responsible for ionizing its local bubble. This suggests the case is closer to being solved.

The two main suspects for cosmic reionization are usually 1) a population of numerous faint galaxies leaking ~10 percent of their energetic photons, and 2) an 'oligarchy' of luminous galaxies with a much larger percentage (>50 percent) of photons escaping each galaxy.

In either case, these first galaxies were very different from those today: galaxies in the local universe are very inefficient leakers, with only <2-3 percent of ionizing photons escaping their host. To understand which galaxies governed cosmic reionization, astronomers must measure the so-called escape fractions of galaxies in the reionization era.

The detection of light from excited hydrogen atoms (the so-called Lyman-alpha line) can be used to infer the fraction of escaping photons. On the one hand, such detections are rare because reionization-era galaxies are surrounded by neutral gas which absorbs that signature hydrogen emission.

On the other hand, if this hydrogen signal is detected it represents a 'smoking gun' for a large ionized bubble, meaning we have caught a galaxy reionizing its surroundings. The size of the bubble and the galaxy's luminosity determines whether it is solely responsible for creating this ionized bubble or if unseen accomplices are necessary.

The discovery of a luminous galaxy 800 million years after the Big Bang supports the scenario where an 'oligarchy' of bright leakers emits most of the ionizing photons.

"It is the first time we can point to an object responsible for creating an ionized bubble, without the need for a contribution from unseen galaxies.

Additional observations with the upcoming James Webb Space Telescope will enable us to study further what is likely one of the best suspects for the unsolved case of cosmic reionization," said Meyer.

San Francisco, Feb 5: After a German artist, Simon Weckert, demonstrated how he "hacked" Google Maps with 99 smartphones and a wagon to create "virtual traffic jams" on the streets of Berlin, Google responded to the incident saying it "appreciates" creative use of maps.

Admitting that it has not quite cracked travelling by wagon, the tech giant also hinted that it might use cases like this to improve how its maps work.

"We appreciate seeing creative uses of Google Maps like this as it helps us make maps work better over time," 9to5Google quoted a Google spokesperson as saying.

In a YouTube video, Weckert showed that he put 99 smartphones with Google Maps onto a small wagon cart and then wheeled that cart around various streets in Berlin, including outside the Google office, Android Authority reported on Monday.

The smartphones "apparently fooled Google Maps" into thinking that there was a high concentration of users on those streets.

Because the second-hand phones were in a cart, Maps was further tricked into believing that the traffic was slow-moving.

As a result, the navigation app started showing virtual traffic jams by turning green streets to red in the online navigational tool, showcasing how digital technology can have a real impact on the real world.

"Traffic data in Google Maps is refreshed continuously thanks to information from a variety of sources, including aggregated anonymised data from people who have location services turned on and contributions from the Google Maps community," the Google spokesperson said.

"We've launched the ability to distinguish between cars and motorcycles in several countries including India, Indonesia and Egypt, though we haven't quite cracked travelling by wagon," the statement added. After a German artist, Simon Weckert, demonstrated how he "hacked" Google Maps with 99 smartphones and a wagon to create "virtual traffic jams" on the streets of Berlin, Google responded to the incident saying it "appreciates" creative use of maps.

Admitting that it has not quite cracked travelling by wagon, the tech giant also hinted that it might use cases like this to improve how its maps work.

"We appreciate seeing creative uses of Google Maps like this as it helps us make maps work better over time," 9to5Google quoted a Google spokesperson as saying.

In a YouTube video, Weckert showed that he put 99 smartphones with Google Maps onto a small wagon cart and then wheeled that cart around various streets in Berlin, including outside the Google office, Android Authority reported on Monday.

The smartphones "apparently fooled Google Maps" into thinking that there was a high concentration of users on those streets.

Because the second-hand phones were in a cart, Maps was further tricked into believing that the traffic was slow-moving.

As a result, the navigation app started showing virtual traffic jams by turning green streets to red in the online navigational tool, showcasing how digital technology can have a real impact on the real world.

"Traffic data in Google Maps is refreshed continuously thanks to information from a variety of sources, including aggregated anonymised data from people who have location services turned on and contributions from the Google Maps community," the Google spokesperson said.

"We've launched the ability to distinguish between cars and motorcycles in several countries including India, Indonesia and Egypt, though we haven't quite cracked travelling by wagon," the statement added.

Twitter has joined efforts to do away with racially loaded terms such as master, slave and blacklist from its coding language in the wake of the death of African-American George Floyd and ensuing Black Lives Matter protests.

The project started even before the current movement for racial justice escalated following the death of 46-year-old George Floyd in police custody in May.

The use of terms such as "master" and "slave" in programming language originated decades ago. While "master" is used to refer to the primary version of a code, "slave" refers to the replicas. Similarly, the term "Blacklist" is used to refer to items which are meant to be automatically denied.

The efforts to change these terms in favour of more inclusive language at Twitter were initiated by Regynald Augustin and Kevin Oliver and the microblogging platform is now backing their efforts.

"Inclusive language plays a critical role in fostering an environment where everyone belongs. At Twitter, the language we have been using in our code does not reflect our values as a company or represent the people we serve. We want to change that. #WordsMatter," Twitter's engineering team said in a post on Thursday.

As per the recommendations from the team, the term "whitelist" could be replaced by "allowlist" and "blacklist" by "denylist".

Similarly, "master/slave" could be replaced by "leader/follower", "primary/replica" or "primary/standby".

Twitter, however, is not the first to start a project to bring inclusivity in programming language.

According to a report in CNET, the team behind the Drupal online publishing software started using "primary/replica" in place of "master/slave" as early as in 2014.

The use of the terms "master/slave" was also dropped by developers of the Python programming language in 2018.

Now similar efforts are underway at Microsoft's Github and LinkedIn divisions as well, said the report.