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Bengaluru, Jan 10: The Special Investigation Team (SIT), probing the murder case of journalist-activist Gauri, arrested absconding suspect Rushikesh Devdikar alias Murali (44) from Dhanbad district in Jharkhand on Thursday evening and is bringing him to the city.

Rushikesh is the 18th suspect arrested in the case, Chief Investigating Officer M N Anucheth said. The investigation has revealed that he was primarily involved in the conspiracy to murder Gauri.

Rushikesh, who was hiding in a house in Katras, Dhanbad, will be produced before the local Judicial Magistrate in Dhanbad on Friday, said Anucheth, adding that the SIT had searched his house for clues. "We will obtain a transit warrant from the court and then bring him to Bengaluru," the officer said.

Originally from Aurangabad in Maharashtra, Rushikesh's family still lives there.

Gauri Lankesh was shot dead near her residence at around 8.20 pm on September 5, 2017, by two bike-borne men.

Bengaluru, Mar 27: With the numbers of COVID-19 optimistic instances rising at an alarming price in Karnataka, the state is on the verge of coming into stage three of the coronavirus epidemic. Which means that the virus is spreading to individuals who haven’t any journey historical past to Covid-19 affected international locations or contact with a COVID-19 optimistic individual with such a historical past.
Consequently, authorities in Karnataka expect a surge in optimistic instances within the coming days. This surge is probably going to come from pockets throughout the state which have a lot of coronavirus suspects, primarily individuals who have returned from Covid-19 affected international locations.

Within the parlance of the corona epidemic fighters, these pockets are referred to as clusters. Bengaluru is one massive cluster with many suspects, a lot of whom are IT professionals who lately returned from Europe, USA and Australia, and many others. The coastal belt is one other cluster, with suspects who’ve lately travelled to Center East. There are different clusters in Karnataka, the place suspects are those that returned after a pilgrimage to Mecca.

Medical schooling minister Ok Sudhakar admitted that the speed of enhance of COVID-19 positives in Karnataka is alarming. For over a month, the state had restricted the variety of optimistic instances to single digits. Nevertheless, within the final 4 days, the quantity has gone up sixfold and Karnataka now has 55 instances, the third largest variety of COVID-19 optimistic instances within the nation.

Dr Sudhakar stated the federal government was changing each authorities hospital right into a quarantine centre to accommodate any variety of optimistic instances.

“Our goal just isn’t to get right into a scenario like Italy, the place the federal government has been lowered to expressing helplessness. In subsequent 20 days, now we have to keep away from moving into such a scenario. I visited Chinnaswamy and Kanteerava stadiums and we’re working out if the stadiums will be transformed into quarantine centres, if warranted,” Dr Sudhakar stated.

The state police are struggling to implement the lockdown due to non-cooperation from some folks. They plan to rope in celebrities to ship throughout the message on social distancing.

Whereas some with home-quarantine seals are discovered roaming within the streets, some nonetheless assume the lockdown is a vacation.

“We’re roping in film stars in addition to sports activities personalities to give out a critical message on COVID-19. If the message goes dwelling, it could assist us management folks to a big extent,” he added.

Newsroom, Jan 29: Karnataka’s capital has earned the unwelcome distinction of global capital of traffic congestion. According to a report by TomTom, the Netherlands-based global provider of navigation, traffic and map products, Bengaluru beat 415 other cities across 57 countries to earn the title of world's most traffic congested city in 2019.

“Bengaluru takes the top spot this year with drivers in the southern Indian city expecting to spend an average of 71% extra travel time stuck in traffic," TomTom said in the ninth edition of its annual Traffic Index.

Three other Indian cities, namely, Mumbai, Pune and New Delhi are also ranked in the 2019 edition of TomTom’s Traffic Index of the world’s most traffic-congested cities. 

The report released on Tuesday ranks cities by the average time added to a trip. TomTom index also includes details on when congestion is heaviest and lightest, how highways compare with surface streets, and how much time drivers wasted waiting for other drivers to get out of their way.

Following closely on the heels of Bengaluru is Manila, Philippines, with the similar 71% traffic congestion. Among the top five worst traffic affected cities are Mumbai and Pune from India at the fourth and fifth place respectively, while Bogota, Colombia is on third spot.

Delhi, the national capital of India is on the 8th spot, while Moscow (Russia), Lima (Peru), Istanbul (Turkey) and Jakarta (Indonesia) are on 6th, 7th, 9th and 10th spot respectively.

Mumbai recorded a 65% traffic congestion with 9th September, 2019 being the worst day. On an average, a Mumbaikar lost 209 hours in traffic congestion. Pune has 59% traffic congestion with 2nd August, 2019 being the worst day. 193 hours are lost due to congestion. Delhi, on the other hand, has 56% traffic congestion. 23rd October, 2019 was the worst day, while 190 hours are lost in traffic congestion.

Interestingly, among all the four Indian cities, Delhi has the most number of cars. Previous studies have concluded that Delhi has the best road conditions among the Metro cities of India.

If you are wondering what exactly the percentages mean, a 53% congestion level in Bangkok, for example, means that a trip will take 53% more time than it would during Bangkok’s baseline uncongested conditions.

TomTom calculates the baseline per city by analyzing free-flow travel times of all vehicles on the entire road network – recorded 24/7, 365 days a year. The report by Dutch navigation and mapping company ranks cities by the average time added to a trip. It also includes details on when congestion is heaviest and lightest, and how much time drivers wasted waiting for other drivers to get out of their way.