A Good Memory May Make You Feel Bored Of Experiences Quickly

May 3, 2017

May 3: People with large memory capacities tend to get bored faster as they perceive they have experienced things more times because they remember those experiences in more detail and feel more satiated by them, researchers said.

bored"People with larger working memory capacities actually encode information more deeply," said lead author Noelle Nelson, Assistant Professor at the University of Kansas in the US.

"They remember more details about the things they've experienced, and that leads them to feel like they've had it more. That feeling then leads to the large capacity people getting tired of experiences faster," Nelson said.

For the study, published in the Journal of Consumer Research, the team measured people's working memory capacities in different ways, such as how well they could remember a string of letters or how they performed on the memory game where users must try to repeat a series of tones and lights.

Participants then performed a task where they would eventually become tired of what they experienced, like viewing paintings or listening to music.

"We found that their capacity predicted how fast they got tired of the art or music. People with larger memory capacities satiated on these things more quickly than people with smaller capacities," Nelson said.

Marketers could perhaps use this type of research to craft strategies on ways to keep people interested longer.

"For example, introducing new products or having distractions in advertisements might help break up the satiation process because they disrupt memory," Nelson said.

In addition, the implications may also extend to overeating or unhealthy foods "because a big part of overeating is psychological and a solution such as memory processes could help people control their eating", he said.

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Agencies
May 9,2020

17-year-old Pratyusha Jha, wakes up scrambling for newspapers these days to look for any news about her pending board exams and is anxious about what the future has in store for her.

Similar concerns are shared by Bipin Kumar, a class 12 student, who says the announcement of board exams from July 1 to 15 brought limited clarity as the larger questions remain unanswered.

The COVID-19 lockdown, came with a different set of concerns for class 12 students, whose board exams were postponed midway following the outbreak of coronavirus, putting on hold their future plans as well.

"Everyday I have been looking for news about the exams and about entrance exam dates. I feel unfortunate that this happened during the year I was supposed to take the big college leap. I don't want my future decisions to be shaped by this very year as what I opt to study now will remain with me lifelong," Pratyusha told PTI.

Ending some uncertainty for students, HRD Minister Ramesh Pokhriyal 'Nishank' on Friday announced that the pending class 10 and 12 board exams will be held from July 1 to 15. While class 12 exams will be conducted across the country, the class 10 exams are only pending in North East Delhi where they were affected due to the law and order situation.

"The anxiety doesn't end here, there is no date sheet yet. What will be the modalities of exams, how will we reach centres, what protocols have to be followed, there is no clarity on that. My friends and I keep calling our school teachers and also the CBSE helpline to seek some clarity," Bipin Kumar said.

Vaibhav Sharma, a class 12 student in Gurgaon said, "There is no clarity yet. I wanted to apply for DU, but now that the exams are taking place in July when will the results be declared, when will cut offs be announced. If I don't get a good college here, will I be able to travel to different cities for admission, nothing is known yet."

Similarly, for the students in northeast Delhi, the wait for the exams has become a "test of patience" as they were postponed first in the area due to law and order situation, and later due to the coronavirus outbreak, resulting in a four-month-long wait for the exams.

"It has become an endless wait and now I don't feel like studying too. Right from childhood, we are taught that board exams are too crucial and have to be focussed at least two years in advance. But now, it is a different picture altogether," Rani Kumari, a resident of Chandbagh said.

Universities and schools across the country have been closed and exams postponed since March 16 when the Centre announced a countrywide classroom shutdown as one of the measures to contain the COVID-19 outbreak.

Later, a nationwide lockdown was announced on March 24, which has now been extended till May 17.

The board was not able to conduct class 10 and 12 exams on eight examination days due to the coronavirus outbreak. Further, due to the law and order situation in North East Delhi, the board was not able to conduct exams on four examination days, while a very small number of students from and around this district were not able to appear in exams on six days.

The board had last month announced that it will only conduct pending exams in 29 subjects which are crucial for promotion and admission to higher educational institutions. The modalities of assessment for the subjects for which exams are not being conducted will be announced soon by the board.

The schedule has been decided in order to ensure that the board exams are completed before competitive examinations such as engineering entrance JEE-Mains, which is scheduled from July 18-23, and medical entrance exam NEET, which is scheduled on July 26.

The University Grants Commission (UGC) has issued guidelines to universities that new academic session for freshers will begin from September while for the existing students from August.

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Agencies
February 10,2020

Washington D.C, Feb 10: Children's vulnerability towards depression, anxiety, impulsive behaviour, and poor cognitive performance could be determined by considering the hours of sleep they manage to get.

Sleep states are active processes that support the reorganisation of brain circuitry. This makes sleep especially important for children, whose brains are developing and reorganising rapidly.

In a study by researchers from the University of Warwick -- recently published in the journal Molecular Psychiatry -- cases of 11,000 children aged between 9 and 11 years from the Adolescent Brain Cognitive Development dataset were analyzed to find out the relationship between sleep duration and brain structure.

The study was carried out by researchers Professor Jianfeng Feng, Professor Edmund Rolls, Dr. Wei Cheng and colleagues from the University of Warwick's Department of Computer Science and Fudan University.

Measures of depression, anxiety, impulsive behaviour and poor cognitive performance in the children were associated with shorter sleep duration. Moreover, the depressive problems were associated with short sleep duration one year later.

The reduced brain volume of areas such as orbitofrontal cortex, prefrontal, and temporal cortex, precuneus, and supramarginal gyrus was found to be associated with the shorter sleep duration.

Professor Jianfeng Feng, from the University of Warwick's Department of Computer Science, comments: "The recommended amount of sleep for children 6 to 12 years of age is 9-12 hours. However, sleep disturbances are common among children and adolescents around the world due to the increasing demand on their time from school, increased screen time use, and sports and social activities."

A previous study showed that about 60 per cent of adolescents in the United States receive less than eight hours of sleep on school nights.

Professor Jianfeng Feng further added: "Our findings showed that the total score for behavior problems in children with less than 7 hours sleep was 53 per cent higher on average and the cognitive total score was 7.8 per cent lower on average than for children with 9-11 hours of sleep. It highlights the importance of enough sleep in both cognition and mental health in children."

Professor Edmund Rolls from the University of Warwick's Department of Computer Science also commented: "These are important associations that have been identified between sleep duration in children, brain structure, and cognitive and mental health measures, but further research is needed to discover the underlying reasons for these relationships."

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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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