Don't share with FB info of users who stop using WhatsApp: HC

New Delhi, Jul 13: The Income Tax Department has facilitated a new functionality for banks and post offices to ascertain TDS applicability rates on cash withdrawal of above Rs 20 lakh in case of a non-filer of the income-tax return and that of above Rs 1 crore in case of a filer of the income-tax return.

In a statement, the Central Board of Direct Taxes (CBDT) said that now banks and post offices have to only enter the PAN of the person who is withdrawing cash for ascertaining the applicable rate of TDS.

So far, more than 53,000 verification requests have been executed successfully on this facility, a statement by the CBDT said.

"CBDT today said that this functionality available as 'Verification of applicability u/s 194N' on www.incometaxindiaefiling.gov.in since 1st July 2020, is also made available to the Banks through web-services so that the entire process can be automated and be linked to the Bank's internal core banking solution," it said.

On entering PAN by the bank or the post office, a message will be instantly displayed on the departmental utility: "TDS is deductible at the rate of 2 per cent if cash withdrawal exceeds Rs 1 crore", in case the person withdrawing cash is a filer of the income-tax return.

In case the person withdrawing cash is a non-filer of income tax return, the message shown would be: "TDS is deductible at the rate of 2 per cent if cash withdrawal exceeds Rs 20 lakh and at the rate of 5 per cent if it exceeds Rs 1 crore."

The CBDT said that the data on cash withdrawal indicated that huge amount of cash is withdrawn by the persons who have never filed income-tax returns.

To ensure filing of return by these persons and to keep track on cash withdrawals by the non-filers, and to curb black money, the Finance Act, 2020 with effect from July 1, 2020 further amended IT Act to lower threshold of cash withdrawal to Rs 20 lakh for the applicability of this TDS for the non-filers and also mandated TDS at the higher rate of 5 per cent on cash withdrawal exceeding Rs 1 crore by the non-filers.

In a study conducted in 117 countries, researchers have found that the world is experiencing the most dramatic reduction in the seismic noise (the hum of vibrations in the planet's crust) in recorded history due to global COVID-19 lockdowns.

Measured by instruments called seismometers, seismic noise is caused by vibrations within the Earth, which travel like waves and the waves can be triggered by earthquakes, volcanoes, and bombs - but also by daily human activity like travel and industry.

This quiet period was likely caused by the total global effect of social distancing measures, closure of services and industry, and drops in tourism and travel, the study published in the journal Science, reported.

The new research, led by the Royal Observatory of Belgium and five other institutions around the world including Imperial College London (ICL), showed that the dampening of 'seismic noise' caused by humans was more pronounced in more densely populated areas.

"Our study uniquely highlights just how much human activities impact the solid Earth, and could let us see more clearly than ever what differentiates human and natural noise," said study co-author Stephen Hicks from ICL in the UK.

For the findings, the research team looked at seismic data from a global network of 268 seismic stations in 117 countries and found significant noise reductions compared to before any lockdown at 185 of those stations.

Researchers tracked the 'wave' of quietening between March and May as worldwide lockdown measures took hold.

The largest drops in vibrations were seen in the most densely populated areas, like Singapore and New York City, but drops were also seen in remote areas like Germany's the Black Forest and Rundu in Namibia.

Citizen-owned seismometers, which tend to measure more localised noise, noted large drops around universities and schools around Cornwall, UK and Boston, US - a drop in noise 20 per cent larger than seen during school holidays.

The findings showed that countries like Barbados, where lockdown coincided with the tourist season, saw a 50 per cent decrease in noise.

"The changes have also given us the opportunity to listen in to the Earth's natural vibrations without the distortions of human input," the study authors wrote.

Earlier in April, a study published in the journal Nature, reported at least a 30 per cent reduction in that amount of ambient human noise since lockdown began in Belgium.

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.