Friday April 20, 2018

Emotional problems during adolescence can lead to unemployment

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London: Suffering from emotional problems in adolescence is a key risk factor for future joblessness irrespective of socio-economic background, says a study.

The research found clear evidence that distressed adolescents, who tend to feel nervous or depressed rather than calm or happy, subsequently experienced higher levels of joblessness in early adulthood.

The findings showed that adolescents who were highly distressed at ages 16 to 20 were 32 percent more likely to be unemployed and 26 percent more likely to be unemployed or out of the workforce in early adulthood.

“The findings provide strong evidence that distressed adolescents are vulnerable to unemployment and suggest that this vulnerability increased during the recent difficult economic period following the Great Recession,” said lead researcher Mark Egan from University of Stirling in Britain.

The study, published in the journal Social Science & Medicine, examined the employment patterns of over 7,000 Americans over a 12-year period, born in the period 1980-1984.

The findings revealed that the adverse impact of psychological distress on job prospects grew in the years following the 2007-2009 Great Recession where those with a history of distress experienced a pronounced rise in joblessness.

The trends held even when comparing distressed to non-distressed siblings, suggesting that emotional problems carry a heavy penalty even among brothers and sisters from the same background.

Economic benefits could be gained by treating mental health issues in early life and the researchers called for investment in this area.

“Investing in childhood and adolescent mental health services could have economic benefits including reducing population-level unemployment,” Egan noted.

Credits: IANS

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  • Shriya Katoch

    Its time teenage problems are tended to seriously and not viewed as teenage antics.

  • a

    Absolutely correct Shriya ! Kids are growing up way too fast these days and internet in every hand has created havoc in the lives of youngsters. Serious thought must be given in India to finding ways to restrict internet use below the age of 21.

Next Story

Google AI can focus on individual speakers in a crowd

The visual signal not only improves the speech separation quality significantly in cases of mixed speech, but, importantly, it also associates the separated, clean speech tracks

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Google india launches 'Tz' to help people pay their utility bills. Wikimedia Commons
Google AI to identify speakers from crowd. Wikimedia Commons

Just as most smartphone cameras now allow users to focus on a single object among many, it may soon be possible to pick out individual voices in a crowd by suppressing all other sounds, thanks to a new Artificial Intelligence (AI) system developed by Google researchers.

This is an important development as computers as not as good as humans at focusing their attention on a particular person in a noisy environment. Known as the cocktail party effect, the capability to mentally “mute” all other voices and sounds comes natural to us humans.

Google has collaborated with getty images. Wikimedia Commons
Google AI will identify individual speakers now. Wikimedia Commons

However, automatic speech separation — separating an audio signal into its individual speech sources — remains a significant challenge for computers, Inbar Mosseri and Oran Lang, software engineers at Google Research, wrote in a blog post this week. In a new paper, the researchers presented a deep learning audio-visual model for isolating a single speech signal from a mixture of sounds such as other voices and background noise.

“In this work, we are able to computationally produce videos in which speech of specific people is enhanced while all other sounds are suppressed,” Mosseri and Lang said. The method works on ordinary videos with a single audio track, and all that is required from the user is to select the face of the person in the video they want to hear, or to have such a person be selected algorithmically based on context.

Also Read: Want To Know What Facebook, Google Know About You?

The researchers believe this capability can have a wide range of applications, from speech enhancement and recognition in videos, through video conferencing, to improved hearing aids, especially in situations where there are multiple people speaking. “A unique aspect of our technique is in combining both the auditory and visual signals of an input video to separate the speech,” the researchers said.

google
This will also help in speech enhancement . VOA

“Intuitively, movements of a person’s mouth, for example, should correlate with the sounds produced as that person is speaking, which in turn can help identify which parts of the audio correspond to that person,” they explained.

The visual signal not only improves the speech separation quality significantly in cases of mixed speech, but, importantly, it also associates the separated, clean speech tracks with the visible speakers in the video, the researchers said. IANS