B

    A five-year-old dog named Kelsey has been praised as a hero for helping to save the life of her owner who slipped in the snow and broke his neck.

The man, Bob, was alone when he left his Michigan farmhouse on New Year's Eve to collect firewood. Expecting a journey of only several meters, Bob was wearing just long johns (秋裤), a shirt and slippers when he went outside, although the temperature was around -4℃.

    After the accident, he was unable to move in the snow. Fortunately, Kelsey came to his assistance.

    “I was shouting for help, but my nearest neighbor is about 400 meters away, and it was 10:30 p.m.,” Bob explained. “But my Kelsey came. By the next morning, my voice was gone and I couldn't yell for help, but Kelsey didn't stop barking.”

    Bob's companion kept him warm by lying on top of him. She licked his face and hands to keep him awake. “Kelsey kept barking but never left my side,” Bob recalled. “She kept me warm. I knew I couldn't give up and that it was my choice to stay alive.”

Bob spent 19 hours in the freezing cold. When he finally lost consciousness, his dog kept barking. Finally, hearing the barking, Bob's neighbor discovered him at 6:30 p.m. on New Year's Day and called the emergency services at once. When Bob arrived in hospital, his body temperature was below 21℃. However, doctors were surprised to find that he didn't have any frostbite (冻疮). They believed it was because of Kelsey's determination to keep him warm. Dr. Chaim Colen, the doctor who treated Bob, said, “Animals can help and his dog really saved him … he was very fortunate.”

    Bob said he was “enormously” grateful for both Dr. Colen and his Kelsey. “They saved my life. They are true heroes!”

    Here's a list of books I'm looking forward to this fall season. Not all of them will rise to the level of the advertisement, but it's an abundant crop.

    "Home After Dark" by David Small (Liveright, Sept.11)

    In 2009, Small published a celebrated graphic memoir (回忆录) called "Stitches". Now the Caldecott Medal winner is back with a graphic novel about a motherless 13-year-old boy brought up in an unhappy home in California. This is a tale told in few words and many striking images. On Sept. 11 at 3p.m. . Small will be at Amazonbooks at Union Market. More information at www.amazon.com/graph-tale.

    "Waiting for Eden" by Elliot Ackerman (Knopf, Sept. 25)

    This brief novel is related by a dead soldier who is watching over a horribly burned partner in a Texas hospital. That sounds embarrassingly emotional, but Ackerman, who served in a Navy in Iraq and Afghanistan, is one of the best soldier-writers of his generation. More information at www.amazon.com/military-essay.

    "All You Can Ever Know" by Nicole Chung (Catapult, Oct. 2)

    Chung, the editor of the literary magazine Catapult, was adopted as a baby by a white family in Oregon. In this memoir, she writes about her childhood, her Asian American identity and her search for the Korean parents who gave her up. More information at www.amazon.com/politics-prose.

    "Unsheltered" by Barbara Kingsolver (Harper, Oct. 16)

    Alternating between past and present, this novel tells the story of a woman investigating a late-19th-century science teacher who was caught up in the controversy over Darwinism. Like her other novels, this one promises to explore social and scientific problems. Visit www. amazon.com/tech-science for more information.

Are we alone in the universe? A team of scientists announced on January 6, 2015 that they had identified eight planets beyond our solar system, three or four of which orbit in their stars' "Goldilocks Zone" — the region where temperatures are not too hot or too cold for water, which is a necessary ingredient for life as we know it, to exist liquid form. This may be good news for people hoping that Earth is not the only inhabited world in the universe.

    The scientists, led by Dr. Guilermo Torres of the Harvard-Smithsonian Center for Astrophysics, made the discoveries using data collected by the planet-seeking Kepler telescope.

    NASA launched Kepler in 2009. Since then, the telescope has identified more than 1,000 planets outside of our solar system. Torres and his team analyzed the data about the eight newly discovered world to determine which ones are most likely to be similar to our Earth.

    Among the new discoveries, the scientists say the planets called Kepler438b and 442b are the closest to Earth. Kepler 438b is just about 10% larger than our planet, and gets 40% more of its energy from its star than Earth receives from the Sun. Temperatures there would be about 140 degrees. Kepler 442b is about 33% larger than Earth, but receives 30% less energy from its star. That would make it a potentially chillier world than our own. Torres says it is possible for life to exist and survive in either of those temperatures, but for that to happen, these planets would need to have another key ingredient for life: a heat-trapping atmosphere like Earth's.

    While these findings add to the possibility that life exists beyond Earth, Torres cautions against drawing conclusions, “We are not claiming they are inhabited,” he says. In fact, these planets are so far away that the scientists cannot observe them directly, which can be explanation for why for now it remains unknown whether these planets contain life. But the discovery of planets in their stars' habitable zones suggests that somewhere out there, some form of alien life may have taken hold.

In recent years, labels have increasingly been used by the food industry. Whether "non-GMO（转基因）"or"zero trans fat","no added hormones" or"sugar-free", consumers are demanding more information about what's in their food.

A report by Nielsen found that 39 percent of consumers would switch from the brands they currently buy to others that provide clearer, more accurate product information. Food manufacturers are using the new labels to meet consumers' demand, with an eye towards giving their products a leg up over the competition, and their bottom lines a boost as well.

On its face, the new marketing strategy makes sense. But these so-called "absence claims" labels are harmful both to the consumers who purchase the products and the industry that supplies them. For example, Hunt's put a "non-GMO" label on its tomatoes a few years ago — despite the fact that, at the time, there was no such thing as a GMO tomato on the market. Over the long term, this strategy will have the opposite effect: by creating fear, we run the risk of damaging consumers' trust.

Eventually, it becomes a question in consumers' minds: Should I have ever been eating these foods in the first place? By purchasing and consuming these types of products, have I already done some kind of harm to me?

For food manufacturers, it will damage consumers' trust, which in turn would lower sales for the whole food industry. And this isn't just supposition. A recent study by a group of academics at the University of Delaware found that "absence claims" labels can stigmatize(污名化)food produced with conventional processes even when there is no scientific evidence that they cause harm.

In addition to the likely negative long-term impact on sales, it sends a message that innovations in farming and food processing are unwelcome, eventually leading to less efficiency, fewer choices for consumers, and, ultimately, more costly food products. Therefore, it's clear that food manufacturers must be careful when using "absence claims" as a marketing strategy. If we allow this kind of label fear-mongering to continue, the losers will be all of us.

The famous Spanish painter Pablo Picasso once said, "I am always doing that which I cannot do, in order that I may learn how to do it." It strikes a chord(引起共鸣) with me because that's exactly what I have been doing these years.

One of my earliest memories of doing before learning is baking scones(烤饼) when I was about 10 years old. I wanted to bake them to surprise my mother when she returned home.

Before that, I'd observed how my mother baked them many times. As I started to try, I didn't know I shouldn't handle the dough(面团) with my hands too much once I'd added the baking powder(发酵粉). However, I knew exactly how to roll out the dough and use a cookie cutter to cut the scones, because my mom had already taught me.

By the time my mom arrived home, the smell of freshly baked scones welcomed her into the kitchen. They were close to perfection—flat, as a result of overhandling the dough, but they tasted OK. My mom sweetly praised me for my attempt, rather than scolding me for the state of the kitchen, which was like a tornado had just blown!

Have my attempts always been successful? I wish! Some of my kitchen disasters were so terrible that even the dogs wanted nothing to do with them. My gardening failures didn't live to see another season.

But my habit of doing before learning is still helpful. Whatever new software I have to learn how to use, I do so by simply starting to use it. I do, learn, and improve. So if you ask me whether I regret that I tend to do first and learn later, I'd say I don't, because what I have discovered from those is the wisdom to know when it's OK to do and then learn, and when it's probably better to learn and then do!

The prodigious ability of our species to rapidly assimilate vocabulary, expanding from a mere 300 lexemes by the tender age of two to an impressive repertoire exceeding 1,000 by the age of four, remains a subject of profound enigma. Certain scholars in the realms of cognitive science and linguistics have posited that the human mind enters the world equipped with innate cognitive predispositions and logical parameters that facilitate this linguistic feat. However, recent advancements in the sphere of machine learning have unveiled the potential for swift acquisition of semantic understanding from sparse data, eschewing the need for preconceived, hardwired assumptions.

An ensemble of researchers has triumphantly honed a rudimentary artificial intelligence construct to correlate visual representations with their corresponding lexical entities, utilizing a mere 61 hours of ambient visual recordings and auditory data—previously amassed from an individual known as Sam during the years 2013 and 2014. Though this represents but a minuscule fraction of a child's developmental chronicle, it transpires that this was sufficiently informative to incite the AI in discerning the significance of select vocables.

These revelations intimate that the process of linguistic acquisition may be more straightforward than hitherto presumed. It is conceivable that the juvenile mind does not necessitate a tailor-made, sophisticated linguistic apparatus to adeptly apprehend the essence of words, posits Jessica Sullivan, an adjunct professor of psychology at Skidmore College. "This is an exceptionally elegant inquiry," she articulates, as it presents corroborative evidence that rudimentary data extracted from a child's perspective is sufficiently abundant to initiate the processes of pattern recognition and lexical assimilation.

The recent scholarly endeavor also illustrates the plausibility of machines emulating the learning modalities inherent to human cognition. Vast linguistic models are typically nurtured on colossal datasets encompassing billions, if not trillions, of lexical permutations. In stark contrast, human beings manage with a significantly reduced informational intake, as articulated by the principal scribe of the study, Wai Keen Vong. With the appropriate genre of data, the chasm separating machine and human learning could be substantially bridged.

Nevertheless, further investigation is warranted in select dimensions of this pioneering research. The savants concede that their findings do not conclusively elucidate the mechanisms by which children amass vocabulary. Additionally, the study's purview was confined to the identification of nouns pertaining to tangible entities.

Despite these limitations, this represents a stride toward a more profound comprehension of our own cognitive faculties, which may ultimately contribute to the enhancement of human pedagogical practices, according to Eva Portelance, a scholar in computational linguistics. She remarks that AI research has the potential to shed light on enigmatic queries about our essence that have persisted over time. "We can harness these paradigms in a salutary manner, to the advantage of scientific discovery and societal progress," Portelance further elaborates.