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Italy’s cheap homes hot spot puts more up for sale
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Dwindling Italian towns have been pulling out all the stops to lure new residents in recent years, with several one-euro home schemes launching across the country.

But while some towns have struggled to find buyers for their abandoned buildings, others have been basking in the glory of successful sales.
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“We just want to make it clear that by numbering these batches, more sales will likely follow in coming years,” newly elected mayor Giuseppe Cacioppo tells CNN. “Foreigners are flocking to buy our homes, it’s been a hit so far.”

Cacioppo encourages potential buyers who are heading to the region to pay the town a visit and check out the 12 or so homes up for grabs this time.

“The timing is perfect,” he says. “Tourists and interested buyers currently traveling to Italy, and those planning a trip in spring and summer can come take a look.”

According to Cacioppo, the available homes, located in the old Saracen district, are as “structurally stable as those so far sold” but in need of a restyle.
Sambuca made global headlines back in 2019 when CNN announced that it was putting 16 dwellings up for sale for one euro. Two years later, the town offered up a second batch of homes for two euros.
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The fire-sale, which lured international buyers as far as the Middle East, has helped to revamp the local economy with an influx of 20 million euros (around $21.8 million,) says Cacioppo.

This includes turnover from new B&Bs, new shops that have opened in the town and contracts with builders, architects, surveyors, interior designers and notaries.

“The two batches of houses, owned by the town hall, revitalized the private real estate sector. People rushing to grab one at auction but didn’t make the final cut bought a cheap house instead. So far, 250 homes have been sold,” says Cacioppo.

Sambuca’s triumphant efforts to sell off its empty homes are largely credited to the fact that the local authorities actually own the abandoned dwellings they hope to offload.

Other depopulated Italian towns, such as medieval village Patrica, located south of Rome, have attempted to launch similar schemes, but struggled to track down the former owners to gain permission to sell their empty homes.

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African elephants use names to call each other, study suggests
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Wild African elephants may address each other using individualized calls that resemble the personal names used by humans, a new study suggests.

While dolphins are known to call one another by mimicking the signature whistle of the dolphin they want to address, and parrots have been found to address each other in a similar way, African elephants in Kenya may go a step further in identifying one another.

These elephants learn, recognize and use individualized name-like calls to address others of their kind, seemingly without using imitation, according to the study published Monday in the journal Nature Ecology and Evolution.
The most common type of elephant call is a rumble, of which there are three sub-categories. So-called contact rumbles are used to call another elephant that is far away or out of sight. Greeting rumbles are used when another elephant is within touching distance. Caregiver rumbles are used by an adolescent or adult female toward a calf she is caring for, according to the study.

The researchers looked at these three types of rumbles, using a machine-learning model to analyze recordings of 469 calls made by wild groups of females and calves in Amboseli National Park and Samburu and Buffalo Springs National Reserves between 1986 and 2022. All the elephants could be individually identified by the shape of their ears, as they had been monitored continuously for decades, according to the study.

The idea was that “if the calls contained something like a name, then you should be able to figure out who the call was addressed to just from the acoustic features of the call itself,” said lead study author Mickey Pardo, an animal behaviorist and postdoctoral fellow at Cornell University in New York.

The researchers found that the acoustic structure of calls varied depending on who the target of the call was.

The machine-learning model correctly identified the recipient of 27.5% of calls analyzed, “which may not sound like that much, but it was significantly more than what the model would have been able to do if we had just fed it random data,” Pardo told CNN.

“So that suggests that there’s something in the calls that’s allowing the model to identify who the intended receiver of the call was,” he added.

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African elephants use names to call each other, study suggests
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Wild African elephants may address each other using individualized calls that resemble the personal names used by humans, a new study suggests.

While dolphins are known to call one another by mimicking the signature whistle of the dolphin they want to address, and parrots have been found to address each other in a similar way, African elephants in Kenya may go a step further in identifying one another.

These elephants learn, recognize and use individualized name-like calls to address others of their kind, seemingly without using imitation, according to the study published Monday in the journal Nature Ecology and Evolution.
The most common type of elephant call is a rumble, of which there are three sub-categories. So-called contact rumbles are used to call another elephant that is far away or out of sight. Greeting rumbles are used when another elephant is within touching distance. Caregiver rumbles are used by an adolescent or adult female toward a calf she is caring for, according to the study.

The researchers looked at these three types of rumbles, using a machine-learning model to analyze recordings of 469 calls made by wild groups of females and calves in Amboseli National Park and Samburu and Buffalo Springs National Reserves between 1986 and 2022. All the elephants could be individually identified by the shape of their ears, as they had been monitored continuously for decades, according to the study.

The idea was that “if the calls contained something like a name, then you should be able to figure out who the call was addressed to just from the acoustic features of the call itself,” said lead study author Mickey Pardo, an animal behaviorist and postdoctoral fellow at Cornell University in New York.

The researchers found that the acoustic structure of calls varied depending on who the target of the call was.

The machine-learning model correctly identified the recipient of 27.5% of calls analyzed, “which may not sound like that much, but it was significantly more than what the model would have been able to do if we had just fed it random data,” Pardo told CNN.

“So that suggests that there’s something in the calls that’s allowing the model to identify who the intended receiver of the call was,” he added.

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