You may avoid these drinks before going to sleep

Agencies
July 2, 2019

Washington D.C. Jul 2: While sipping on a cup of beverage before bedtime might seem tempting but experts advice people to avoid certain drinks before laying off to sleep.

“Things that contain caffeine are definitely going to be less-than-desirable for most people,” said Jessica Garay Redmond, assistant professor in the Department of Nutrition and Food Studies at Syracuse University in New York.

Redmond added that caffeine intake also depends on a person’s sensitivity, “That’s not even just right before bed, but I think depending on a person’s caffeine sensitivity, they may need to shut down the caffeine in their day at some point in the afternoon or certainly by dinner time so that they can then have a restful night sleep.”

The study published in the Journal of Clinical Sleep suggests that one must refrain from their caffeine craving as early as six hours before going to bed.

Caffeine is not only restricted to be found in coffee but also marks its presence in some teas, soda and also chocolates. The researchers also advised to avoid alcohol before heading to bed.
“It (alcohol) traps you in the lighter stages of sleep and dramatically reduces the quality of your rest at night,” CNN quoted Rebecca Robins, a post doctoral research fellow at NYU Langone Health, as saying.

Robins added, “It continues to pull you out of rapid eye movement and the deeper stages of sleep, causing you to wake up not feeling restored.”

While talking about a possible good bedtime drink, Robins suggested that milk (source of tryptophan) could be an alternative and said, “That’s one of those recommendations that’s been around for a really long time.”

Tryptohan converts into two brain chemicals which are associated with sleep- melatonin, which helps regulate your body’s natural sleep and wake cycles, and serotonin, which causes relaxation and drowsiness.

“At this point there’s so much research that has looked at the effects of milk and warm milk and there’s not necessarily an obvious connection that makes it a universal recommendation. A lot of researchers now suspect that it might be more sort of psychological than anything else,” Redmond suggested.

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News Network
February 26,2020

New York, Feb 26:  A new wearable sensor that works in conjunction with artificial intelligence (AI) technology could help doctors remotely detect critical changes in heart failure patients days before a health crisis occurs, says a study.

The researchers said the system could eventually help avert up to one in three heart failure readmissions in the weeks following initial discharge from the hospital and help patients sustain a better quality of life.

"This study shows that we can accurately predict the likelihood of hospitalisation for heart failure deterioration well before doctors and patients know that something is wrong," says the study's lead author Josef Stehlik from University of Utah in the US.

"Being able to readily detect changes in the heart sufficiently early will allow physicians to initiate prompt interventions that could prevent rehospitalisation and stave off worsening heart failure," Stehlik added.

According to the researchers, even if patients survive, they have poor functional capacity, poor exercise tolerance and low quality of life after hospitalisations.

"This patch, this new diagnostic tool, could potentially help us prevent hospitalizations and decline in patient status," Stehlik said.

For the findings, published in the journal Circulation: Heart Failure, the researchers followed 100 heart failure patients, average age 68, who were diagnosed and treated at four veterans administration (VA) hospitals in Utah, Texas, California, and Florida.

After discharge, participants wore an adhesive sensor patch on their chests 24 hours a day for up to three months.

The sensor monitored continuous electrocardiogram (ECG) and motion of each subject.

This information was transmitted from the sensor via Bluetooth to a smartphone and then passed on to an analytics platform, developed by PhysIQ, on a secure server, which derived heart rate, heart rhythm, respiratory rate, walking, sleep, body posture and other normal activities.

Using artificial intelligence, the analytics established a normal baseline for each patient. When the data deviated from normal, the platform generated an indication that the patient's heart failure was getting worse.

Overall, the system accurately predicted the impending need for hospitalization more than 80 per cent of the time.

On average, this prediction occurred 10.4 days before a readmission took place (median 6.5 days), the study said.

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Agencies
March 11,2020

With the sales of chicken and mutton going down due to the coronavirus scare, it is the humble 'Kathal' (jackfruit) is emerging as an acceptable alternative.

'Kathal' is now selling at ₹120 per kilogram -- an increase of more than 120 per cent over the normal ₹50 per kilogram.

The jackfruit, in fact, is now priced higher than chicken which is selling at ₹80 per kilogram due to poor demand.

"It is better having a 'Kathal' biryani instead of a mutton biryani. It tastes reasonably good. The only problem is that 'Kathal' has been sold out in the vegetable market and is difficult to find," said Purnima Srivastava whose family savours non-vegetarian food on a regular basis.

The corona scare has hit poultry business so hard and the Poultry Farm Association recently organized a Chicken Mela in Gorakhpur to dispel the misconception that birds are carriers of the deadly virus.

"In fact, we gave away plateful of chicken dishes for Rs 30 to encourage people to savour the delicacies. We cooked one thousand kilograms of chicken for the Mela and the entire stock was sold out," said Vineet Singh, head of the Poultry Farm Association.

However, the Mela did not do much to dispel the fears about chicken, mutton or fish consumption amid the virus outbreak.

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Agencies
June 20,2020

At a time when the country is yet to recover from the shock of losing 20 Indian soldiers in a violent clash with the Chinese People's Liberation Army (PLA) troops in Ladakh's Galwan Valley, another shocker has come to light with news coming of a malware hitting the Indian Railways network and snooping its data for foreign countries, including train movements, sources in the intelligence agencies said on Friday.

Meanwhile, Railways Board Chairman V K Yadav said that the national transporter keeps on receiving malware security threats and the engineers in the railways keep on taking all precautions and keeps on updating the firewalls to prevent data theft.

The news comes a day after the Dedicated Freight Corridor Corporation Limited (DFCCIL) decided to terminate the 417-km signalling project worth Rs 471 crore with Chinese firm Beijing National Railway Research and Design Institute of Signal and Communication Group Company Limited (BNRRDISC) due to non-performance.

According to intelligence agency sources, the system of the Railways has been hit by the APT 36 Malware campaign. The source said that the intel agencies have also alerted the Railway Board to instantly disconnect the system with the Internet and change the password immediately.

The source said the APT 36 Malware is connected to Pakistan, which is a close ally of China. The source further said that following the red flag from the intel agencies, the system of a senior Principal Executive Director of the Railways, working in its vigilance department, has been taken for cleaning the malware threat.

As per the source, through the APT 36 Malware campaign, data stored in the Indian Railways systems were being stolen and stored in foreign locations, including the movement of the trains.

He further claimed that the APT 36 Malware also tried to take defence movement data. 

The source said the APT 36 Malware effect was reported from at least four systems of the Indian Railways.

Responding to queries, the Railways Board Chairman said: "Whether it is our systems or the IRCTC, we continuously update it with firewalls, and it is an ongoing process as we get the updates." 

Yadav said that our system is updated time to time. "We get malware threat on a regular basis. And we look at it continuously," he said. 

When pressed further about the malware threat in four railways systems, he said: "It has not come to our notice that some information has been leaked. Our systems are secure and our engineers keep on working on it."

According to intel sources, besides Railways, there was also malware threat in the defence, central police organisations, education and healthcare sectors, the source said.

In view of the threat, the intel agencies have asked the departments concerned to change the passwords of emails and online services from secure computers, format the hard-disk of the affected computers after taking back-up and re-install the operating systems and other softwares.

Sources in the Railways had said on Thursday that DFFCIL, which is looking after the work of the Dedicated Freight Corridor Project, has decided to terminate the tender with BNRRDISC.

A source in the Railway Ministry said that it has informed the Railway Board and the World Bank to take the final decision in the matter.

The source said the project was awarded to the Chinese firm in 2016 for signalling and telecommunication work on the 417-km Kanpur-Deen Dayal Upadhyaya section of the Eastern Dedicated Freight Corridor (EDFC). 

The source disclosed that the contract was awarded to the Beijing National Railway Research and Design Institute in June 2016. The source further said that even after four years, the progress in the project was only 20%. The issues that led to the termination of the project are reluctance by the company to furnish technical documents, as per the contract agreement, such as logic design of electronic interlocking.

The source further said that other issues like non-availability of their engineers and authorised personnel on site were a serious constraint. Even physical work could not progress as they have no tie-up with local agencies. 

The 3,373-km DFC, a flagship project of the Railways, aims to augment rail transport capacity to meet the growing requirement of movement of goods by segregating freight from passenger traffic.

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