Semi-artificial photosynthesis creates fuel from water

Melbourne, Jul 24: Home-made cloth face masks may need a minimum of two layers, and preferably three, to prevent the dispersal of viral droplets associated with Covid-19, according to a study.

Researchers, including those from the University of New South Wales in Australia, noted that viral droplets are generated by those infected with the novel coronavirus when they cough, sneeze, or speak.

As face masks have been proven to protect healthy people from inhaling infectious droplets as well as reducing the spread from those who are already infected, several types of material have been suggested for these, but based on little or no evidence of how well they work, the scientists said.

In the current study, published in the journal Thorax, the researchers compared the effectiveness of single and double-layer cloth face coverings with a surgical face mask (Bao Thach) at reducing droplet spread.

They said the single layer covering was made from a folded piece of cotton T shirt and hair ties, and the double layer covering was made using the sew method described by the US Centers for Disease Control and Prevention (CDC).

The scientists used a tailored LED lighting system and a high-speed camera to film the dispersal of airborne droplets produced by a healthy person with no respiratory infection, during speaking, coughing, and sneezing while wearing each type of mask.

Their analysis showed that the surgical face mask was the most effective at reducing airborne droplet dispersal, although even a single layer cloth face covering reduced the droplet spread from speaking.

But the study noted that a double layer covering was better than a single layer in reducing the droplet spread from coughing and sneezing.

According to the researchers, the effectiveness of cloth face masks is dependent on the number of layers of the covering, the type of material used, design, fit as well as the frequency of washing.

Based on their observations, they said a home made cloth mask with at least two layers is preferable to a single layer mask.

"Guidelines on home-made cloth masks should stipulate multiple layers," the scientists said, adding that there is a need for more research to inform safer cloth mask design.

Soon, you may be able to withdraw cash from an ATM without touching any part of the machine. AGS Transact Technologies, a provider of cash and digital payment solutions and automation technology, on Monday said it has successfully developed and tested a touchless ATM solution in light of the COVID-19 pandemic.

The ‘contactless' solution, currently under demo at interested banks, enables a customer to perform all the steps required to withdraw cash from an ATM using the mobile app itself. 

The customer simply has to scan the QR code displayed on the ATM screen and follow the directions on their respective bank's mobile application. 

This includes entering the amount and mPIN required to dispense the cash from the ATM machine. 

According to the company, the QR code feature makes cash withdrawals quicker and more secure, and negates the chances of compromising the ATM Pin or card skimming.

"The new Touchless ATM solution is an extension of the flagship QR Cash solution which ensures safety of the users and will provide a seamless cash withdrawal experience with enhanced security," said Ravi B. Goyal, Chairman and MD, AGS Transact Technologies Ltd.

With minimum investment, the banks can enable this solution for their ATM networks by upgrading the existing software.

AGSTTL has so far installed, maintained and managed a network of over 72,000 ATMs across the country and also provides customised solutions to leading banks. 

The company earlier introduced UPI-QR based Cash withdrawal solution in partnership with Bank of India. 

This is how the solution works.

Open the Bank mobile application on your smartphone and select QR Cash Withdrawal. Enter the amount you wish to withdraw on the mobile app and scan the QR code on the ATM screen.

Next, confirm the amount by clicking on ‘proceed' in the app and enter the mPin to authenticate the transaction. Now collect the cash and receipt and you are done.

"The seamless, cardless and touchless withdrawal method is designed to provide easy transaction flow, without the need to touch the ATM screen or enter the pin," said Mahesh Patel, President and Group Chief Technology Officer, AGS Transact Technologies.

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.