OBCs earning over Rs 6 lakh annually won't get quotas

March 16, 2013

OBCs_EaringNew Delhi, Mar 16: OBCs earning over Rs 6 lakh annually will not be eligible for reservations in jobs and education with a group of ministers on Friday deciding to raise the 'creamy layer' bar from Rs 4.50 lakh as part of the revision done every four years.

The increase, however, marks a setback for the 'backward lobby' of ministers that blocked the proposal for fixing creamy layer at Rs 6 lakh in the Cabinet last June, arguing it did not reflect the fall in value of currency and inflation. 'Creamy layer' is the income limit beyond which OBCs are not eligible for quotas.

A group of ministers headed by P Chidambaram is learnt to have weighed in favour of retaining the income level suggested by social justice ministry that ran into resistance in the Cabinet last year. It included HRD minister Pallam Raju, social justice minister Selja and MoS in PMO V Narayanasamy.

While there were murmurs that the bar be raised further, the finance minister argued that keeping the quota net too high would crowd out the genuinely poor and the needy among backwards.

The higher the income ceiling, more the people would qualify for reservations with a greater inclusion of affluent sections. It is seen to disadvantage the poor among OBCs.

While the creamy layer would be final only once approved by the Union Cabinet, Narayanasamy's presence in the GoM suggests a sense of finality.

Narayanasamy, along with petroleum minister Veerappa Moily and overseas Indian affairs minister Vayalar Ravi, had opposed the Rs 6 lakh proposal in the Cabinet, saying it be at least Rs 7 lakh. The resistance forced the prime minister to refer the issue for consultations.

The Chidambaram-led ministerial panel's move to keep a "uniform Rs 6 lakh salary bar" is way below the recommendation made by National Commission for Backward Classes that it should be Rs 12 lakh in urban areas and Rs 9 lakh in rural areas.

The social justice ministry is learnt to have rebuffed NCBC on various counts. It argued against dual creamy layer for rural and urban areas, and questioned the panel for not doing due diligence.

The income ceiling was introduced at Rs 1 lakh in 1993 and was revised to Rs 2.50 lakh in 2004 and Rs 4.50 lakh in 2008.

As against NCBC's suggestion of Rs 12 lakh that reflected Mandal satraps' long-held aversion for the concept of creamy layer, the Centre seems to have been deterred by the backlash of a huge hike.

While there can be judicial challenge arguing that setting the bar too low is designed to neutralize the income ceiling, there are fears in the ruling dispensation that quota for rich OBCs would lead to demands from upper castes that their poor too be given reservations.

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Agencies
February 10,2020

New Delhi, Fevb 10: Of the countries most at risk of importing coronavirus cases, India ranks 17th, researchers have found on the basis of a mathematical model for the expected global spread of the virus that originated in China's Wuhan area in December 2019.

So far, India has reported three coronavirus positive cases -- all from Kerala.

Among the airports in India, the Indira Gandhi International Airport in New Delhi is most at risk, followed by airports in Mumbai, Kolkata, Bengaluru, Chennai, Hyderabad and Kochi, according to the model.

The new model for predicting global novel coronavirus cases has been developed by researchers from Humboldt University and Robert Koch Institute in Germany.

"The spread of the virus on an international scale is dominated by air travel," said the study.

"Wuhan, the seventh largest city in China with 11 million residents, was the relevant major domestic air transportation hub with many connecting international flights before the city was effectively quarantined on January 23, 2020, and the Wuhan airport was closed. By then the virus had already spread to other Chinese provinces as well as other countries," it added.

The researchers said that it is possible to estimate how likely it is that the virus spreads to other areas by looking at air travel passenger numbers.

"The busier a flight route, the more probable it is that an infected passenger travels this route. Using these probabilistic concepts, we calculate the relative import risk to other airports. When calculating the import risk, we also take into account connecting flights and travel routes that involve multiple destinations," said the study.

The top 10 countries and regions at risk of importing coronavirus cases are: Thailand, Japan, South Korea, Hong Kong, Taiwan, USA, Vietnam, Malaysia, Singapore and Cambodia, according to the model.

While Thailand's national import risk is 2.1%, it is 0.2% for India, found the research.

The foundation of the model is the worldwide air transportation network (WAN) that connects approximately 4,000 airports with more than 25,000 direct connections.

The model accounts for both, the current distribution of confirmed cases in mainland China as well as airport closures that were implemented as a mitigation strategy.

This network theoretic model is based on the concept of effective distance and is an extension of a model introduced in the 2013 paper "The Hidden Geometry of Complex, Network-Driven Contagion Phenomena" published in the journal Science.

The current outbreak of the 2019-nCoV virus started in Wuhan city, Hubei province, China. While the first cases were reported as early as December 8, 2019, the outbreak gained global attention on December 31, 2019, when the World Health Organization was alerted to "several cases of pneumonia" by an unknown virus.

The new virus was soon identified as a novel coronavirus and named 2019-nCOV. It belongs to the family of viruses that include the common cold and viruses such as SARS and MERS. On January 20, 2020, it was confirmed that the coronavirus can be transmitted between humans, greatly increasing the risk of a global spread.

The death toll due to the novel coronavirus outbreak in China has increased to 811 on Sunday, surpassing that of the Severe Acute Respiratory Syndrome (SARS) epidemic in 2003.

Although about 20 countries have confirmed cases, China has accounted for about 99 per cent of those infected. The first foreign victims of the virus both died on Saturday in Wuhan.

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News Network
April 26,2020

New Delhi, Apr 26: Medical services at Babu Jagjivan Ram Hospital in Jahangirpuri area have been closed and the hospital is being sanitised after 44 staff members including doctors were tested positive for COVID-19, Delhi Health Department said on Saturday.

"Total 44 staff members including doctors at Babu Jagjivan Ram Hospital in Jahangirpuri area of Delhi have tested positive for COVID-19. Test reports of other staff members are awaited. Hospital's medical services have been closed and the hospital is being sanitized," Delhi Health Department said.

Earlier today, Delhi Health Minister Satyendar Jain informed that there are 2,625 coronavirus cases in Delhi, out of which 111 were reported yesterday.

The total number of active cases in the national capital stands at 1,518 while 869 people have recovered so far, the minister further informed. There have been 54 deaths in the national capital, as per the Union Health Ministry.

A total of 26,496 confirmed cases of COVID-19 have been reported in India, including 19,868 active cases, the Ministry of Health and Family Welfare said on Sunday.

824 people have lost their lives due to the infection in the country.

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Agencies
July 30,2020

New Delhi, Jul 30: Preparing for a long haul in the Eastern Ladakh sector in extreme winters, the Indian Army has an edge over the Chinese as it has deployed 35,000 troops there who have already done tenures in high altitude and cold conditions.

The Indian troops deployed there are mentally prepared for tackling the weather and terrain.
In contrast, the Chinese troops deployed along the Line of Actual Control (LAC) are not used to these conditions as they have been brought from mainland China and are not accustomed to high altitude extreme cold weather conditions.

"We are preparing to provide extreme cold weather portable cabins for around 35,000 troops that have been deployed in the Eastern Ladakh sector," government sources said.

"Our soldiers deployed there have already done a tenure or two in Siachen, Eastern Ladakh or Northeast and they are physically and mentally prepared for a longer deployment there," they said.

The Chinese soldiers deployed on the Indian front include mainly conscripts who join the PLA for a period of 2-3 years and then return to their normal lives, sources said.

Indian and Chinese troops are engaged in a standoff situation all along the LAC in Eastern Ladakh from sub-sector north with both sides having deployed around 40,000 troops against each other over there.

The two sides have disengaged at three friction points including Patrolling Point 14, PP-15 and PP-17 and PP-17A.

At PP-17 and 17A, the Chinese have now maintained a small element of close to 50 troops and the remaining elements have gone back into their permanent locations.

The sources said the Army is also not much bothered about the Chinese build-up along the LAC as it has got more than two additional divisions from outside Ladakh sector.

India Army has more troops than what the Chinese have brought there, they said.

For the winter deployment, the Army already has a sizeable stock of clothes and habitat for troops as the Indian army deploys troops at the world's highest battlefield Siachen glacier and is prepared.

For additional requirements, the force is in the process of placing orders for additional tents and shelters from indigenous as well as foreign vendors.

The time for summer stocking is on and we are going to get the additional cabins and tents by that time, the sources.

Months of June, July, and August are considered to be the best time for stocking winter rations and ammunition. The snowfall is expected to start soon in the Eastern Ladakh area where the temperature is already low.

Prime Minister Narendra Modi's government has given financial powers of Rs 500 crore per procurement to the defence forces to address any type of shortages of weapons, ammunition, and habitat.

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