Hadiya's father formally joins BJP

Agencies
December 18, 2018

Thiruvananthapuram, Dec 18: KM Ashokan, father of the 26-year-old Kerala woman Hadiya, who converted to Islam and married a Muslim man in 2016, has joined the BJP.

Born in a Hindu family as Akhila Asokan, the lady became a Muslim and adopted the name 'Hadiya' after entering into wedlock with Jahan in 2016.

The matter had hit the headlines, when Hadiya's father, KM Asokan, went to the court, claiming his daughter has fallen victim to 'love jihad'.

The HC annulled Hadiya's marriage in May 2017 over a National Investigation Agency (NIA) report, claiming that Hadiya was a victim of indoctrination and psychological kidnapping.

The court also sent the woman to her parents' custody, following which her husband moved the Supreme Court, which in March 2018 restored their marriage and also allowed NIA to continue its probe into other alleged love jihad instances.

In March, the Supreme Court restored marriage of Hadiya and Shafin Jahan after the Kerala High Court had annulled their marriage on the complaint of Hadiya's father.

Comments

Subbu Acharya
 - 
Tuesday, 18 Dec 2018

Greatest opportunist. He opposed Hadiya only for BJP

Danish
 - 
Tuesday, 18 Dec 2018

True.. formally joined now.

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News Network
July 19,2020

Davangere, Jul 19: A 9-year-old sniffer dog ran 12 km in the night to trace a murder accused and helped the police arrest him in Karnataka's Davangere rural area, an official said on Sunday.

"Doberman Pincher Tunga ran 12 km non-stop from the crime spot at Basavapattana in the city to a house at Kashipur in the rural where murder accused Chethan, 25, was hiding and helped us arrest him on July 17," Davangere Police Superintendent Hanumantha Rai said on phone.

Davangere is 260 km northwest of Bengaluru.

"Though Chethan allegedly shot dead his friend Chandra Nayak with a stolen service revolver on July 10 over sharing the booty (gold ornaments) of the theft they had committed recently with two others. We took female dog Tunga to the crime spot on July 16. She led the sleuths to the area where Chethan was hiding with two accomplices," Rai recalled.

While trained sniffer dogs normally run 4-5 km from a crime spot, Tunga could track the accused 12 km away.

When Tunga's handler (Head Constable Prakash) took her to the crime scene at 9.30 pm, she sniffed around and ran 12 km non-stop to Kashipur. She halted at a wine shop and went to a food joint later. Then she stopped at a house nearby at 12.30 am.

The prime accused (Chethan) was present in the house of his relative. He was arrested after he confessed to the theft and the murder.

The police are on the hunt to trace Chethan's two accomplices who fled from the house they were hiding in.

Karnataka Additional Director General of Police (law and order) Amar Kumar Pandey felicitated Tunga on July 17 at a function here for cracking the murder case with its exceptional sniffing traits.

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News Network
January 15,2020

Mangaluru, Jan 15: Thousands of people on Wednesday boarded boats from Ullal's Kotepura to join a massive protest against the amended Citizenship Act and National Register of Citizens (NRC) in Adyar here.

People travelling through boats and steamers decorated with national flags, raised slogans during their journey through the Netravathi River.

The innovative mode of transportation was used by the protestors to reach the venue, as it not only saved time but was also more convenient for the fishermen, as large number of people from this community joined the protest.

The protestors docked their boats at the shore, which was barely 500 metres from the site of protest, being held at Shah Ground in Adyar.

The distance between Kotepura to the Shah Ground is approximately 15 kilometres but protesters would have to walk more five kilometres to reach the venue because of heavy traffic.

Due to protest, the national highway was also blocked and resulted in huge traffic snarls on routes leading to agitation site. 

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News Network
July 13,2020

Bengaluru, Jul 13: The Bruhat Bengaluru Mahanagara Palike (BBMP) has initiated the process of recruiting 1,700 medical professionals, doctors, staff nurses and support staff to scale up its workforce to set up 30,000 COVID-19 care beds, an official said on Sunday.

According to the official, to establish and run 30,000 COVID care beds, 1,800 doctors and 3,600 nurses are required. A 10,100-bed facility was set up last week in the Bengaluru International Exhibition centre (BIEC) on Tumkur road.

The Health Department has calculated that one doctor per shift is needed for every 100 patients and one staff nurse for every 50 patients. Similarly, two supporting staff and three Group D employees are needed per shift for every 100 patients. Generally, a day is divided into three shifts of eight hours each.

According to the director of medical education, there are 25,000 nursing students who have completed GNM and BSc Nursing courses and are pursuing higher education.

Likewise, there are 3,231 medical, dental and Aayush interns, while MD and MS postgraduate students have been identified to be 1,613 in Bengaluru colleges.

"The department plans to actively utilise the services of interns and postgraduate students for the COVID Care Centre (CCC) operations," said the official.

Currently, there are 2,100 CCC beds operational under the civic body in Bengaluru with a pool of 503 doctors, 167 ayush doctors, 128 nursing and paramedical staff.

Earlier in May, the civic body also notified the recruitment of 380 microbiologists, technicians and data entry operators for six months. In June, the civic body again notified the recruitment of 637 doctors, nurses, technicians and group d employees to strengthen its fight against the pandemic.

Bengaluru has recently seen a spike in COVID-19 in Karnataka, accounting for 61% of all active cases in the state.

On Saturday, the city reported 1,533 new cases, taking its total tally to 16,862, of which 12,793 are active.

Karnataka recorded 2,798 more coronavirus cases and 70 more casualties on Saturday evening, raising the state's total cases to 36,216 and the death toll to 613.

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