Certain variants of key behavioural genes, “risk allele” make people more vulnerable to certain mood, psychiatric, or personality disorders. An allele is any of the variants of a gene that takes more than one form. A risk allele, then, is simply a gene variant that increases your likelihood of developing a problem.
Researchers have identified a dozen-odd gene variants that can increase a person’s susceptibility to depression, anxiety and antisocial, sociopathic, or violent behaviours, and other problems — if, and only if, the person carrying the variant suffers a traumatic or stressful childhood or faces particularly trying experiences later in life. This hypothesis, often called the “stress diathesis” or “genetic vulnerability” model, has come to saturate psychiatry and behavioural science.
Recently, however, an alternate hypothesis has emerged from this one and is turning it inside out. This new model suggests that it’s a mistake to understand these “risk” genes only as liabilities. According to this new thinking, these “bad genes” can create dysfunctions in unfavourable contexts — but they can also enhance function in favourable contexts. The genetic sensitivities to negative experience that the vulnerability hypothesis has identified, it follows, are just the downside of a bigger phenomenon: a heightened genetic sensitivity to all experience.
This hypothesis has been anticipated by Swedish folk wisdom which has long spoken of “dandelion” children. These dandelion children — equivalent to our “normal” or “healthy” children, with “resilient” genes — do pretty well almost anywhere, whether raised in the equivalent of a sidewalk crack or well-tended garden. There are also “orchid” children, who will wilt if ignored or maltreated but bloom spectacularly with greenhouse care. According to this orchid hypothesis, risk becomes possibility; vulnerability becomes plasticity and responsiveness. Gene variants generally considered misfortunes can instead now be understood as highly leveraged evolutionary bets, with both high risks and high potential rewards.
In this view, having both dandelion and orchid kids greatly raises a family’s (and a species’) chance of succeeding, over time and in any given environment. The behavioural diversity provided by these two different types of temperament also supplies precisely what a smart, strong species needs if it is to spread across and dominate a changing world. The many dandelions in a population provide an underlying stability. The less-numerous orchids, meanwhile, may falter in some environments but can excel in those that suit them. And even when they lead troubled early lives, some of the resulting heightened responses to adversity that can be problematic in everyday life — increased novelty-seeking, restlessness of attention, elevated risk-taking, or aggression — can prove advantageous in certain challenging situations: wars, social strife of many kinds, and migrations to new environments. Together, the steady dandelions and the mercurial orchids offer an adaptive flexibility that neither can provide alone. Together, they open a path to otherwise unreachable individual and collective achievements.
Trade is essentially the buying and selling of items produced elsewhere. All the services in retail and wholesale trading or commerce are specifically intended for profit. The towns and cities where all these works take place are known as trading centres. The rise of trading from barter at the local level to money-exchange on an international scale has produced many centres and institutions, such as trading centres or collection and distribution points.
Trading centres may be divided into rural and urban marketing centres. Rural marketing centres cater to nearby settlements. These are quasi-urban centres. They serve as trading centres of the most rudimentary type. Here, personal and professional services are not well-developed. These form local collecting and distributing centres. Most of these have mandis (wholesale markets) and also retailing areas. They are not urban centres per se but are significant centres for making available goods and services which are most frequently demanded by rural folk.
Periodic markets in rural areas are found where there are no regular markets and local periodic markets are organised at different temporal intervals. These may be weekly, bi-weekly markets where people from the surrounding areas meet their temporally accumulated demand. These markets are held on specified dates and move from one place to another. The shopkeepers, thus, remain busy all day while a large area is served by them.
Urban marketing centres have more widely specialised urban services. They provide ordinary goods and services as well as many of the specialised goods and services required by people. Ur- ban centres, therefore, offer manufactured goods as well as many specialised developed markets, e.g. markets for labour, housing, semi-or finished products. Services of educational institutions and professionals such as teachers, lawyers, consultants, physicians, dentists and veterinary doctors are available.
The prisoners in the concentration camps in World War-II had lost faith in the future. Being in the camp, I felt disgusted with the state of affairs and I forced my thoughts to turn to another subject. ”Suddenly, I saw myself standing on the platform of a well-lit, warm and pleasant lecture room. In front of me, the attentive audience were seated in comfortable upholstered seats. I saw myself giving a lecture on hope, optimism, and resilience under difficult circumstances.” Suddenly, all that oppressed me stopped giving me pain and distress. This practice was so impactful that I could succeed in rising above the situation and the sufferings of the moment.”
Match the following renowned Indian personalities with their respective awards.
Names | Award |
---|---|
1. Shri Ratan Naval Tata | A. Dadasaheb Phalke Award |
2. Manmohan Singh | B. Grammy Awards |
3. Zakir Hussain | C. Carnegie Medal of Philanthropy |
4. Shyam Benegal | D. World Statesman Award |
Match the following authors with their respective works.
Authors | Books |
---|---|
1. Andy Weir | A. Dune |
2. Cixin Liu | B. The Time Machine |
3. Stephen Hawking | C. The Brief History of Time |
4. HG Wells | D. The Martian |
5. Frank Herbert | E. The Three Body Problem |
Match the following airlines with the countries where they are headquartered.
Airlines | Countries |
---|---|
1. AirAsia | A. Singapore |
2. AZAL | B. South Korea |
3. Jeju Air | C. Azerbaijan |
4. Indigo | D. India |
5. Tigerair | E. Malaysia |
The diagram below represents a road network connecting five towns, namely Meeren, Lannisport, Winterfell, Oldtown, and Gulltown. The maximum speed limits along any stretch of road are as shown in the diagram. The straight road that connects Meeren to Gulltown passes through Oldtown. Another straight road, running west to east, connecting Meeren to Winterfell, passes through Lannisport. Further, two straight roads, one from Lannisport to Oldtown and another from Winterfell to Gulltown, are perpendicular to the road joining Meeren to Winterfell, and run from south to north.
Consider a car always travelling at the maximum permissible speed, and always taking the shortest route. It takes 1 hour to reach Oldtown from Meeren, 2 hours to reach Gulltown from Oldtown, and 45 minutes to reach Winterfell from Gulltown. (For this problem, always consider the shortest route in terms of distance.)
The plots below depict and compare the average monthly incomes (in Rs. ’000) of males and females in ten cities of India in the years 2005 and 2015. The ten cities, marked A-J in the records, are of different population sizes. For a fair comparison, to adjust for inflation, incomes for both the periods are scaled to 2025 prices. Each red dot represents the average monthly income of females in a particular city in a particular year, while each blue dot represents the average monthly income of males in a particular city in a particular year. The gender gap for a city, for a particular year, is defined as the absolute value of the average monthly income of males, minus the average monthly income of females, in that year.