Friday, February 07, 2025

 

Whale song has structure similar to human language



The Hebrew University of Jerusalem
Whale Image 

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Whale Image

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Credit: Credit - OperationCetaces




Humpback whale song is a striking example of a complex, culturally transmitted behavior, but up to now, there was little evidence it has language-like structure. Human language, which is also culturally transmitted, has recurring parts whose frequency of use follows a particular pattern. In humans, these properties help learning and may come about because they help language be passed from one generation to the next. This work innovatively applies methods inspired by how babies discover words in speech to humpback whale recordings, uncovering the same statistical structures found in all human languages. It reveals previously undetected structure in whale song, illustrating a deep commonality between two unrelated species united by the fact that their communication systems are culturally transmitted.

Whale song has language-like structure

Language has long been considered a uniquely human trait, with features that mark it out as distinct from the communication of all other species. However, research published today in Science has uncovered the same statistical structure that is a hallmark of human language in humpback whale song.

Humpback whale song is a striking example of a complex, culturally transmitted behavior, but up to now, there was little evidence it has language-like structure. Human language, which is also culturally transmitted, has recurring parts whose frequency of use follows a particular pattern. In humans, these properties help learning and may come about because they help language be passed from one generation to the next. This work innovatively applies methods inspired by how babies discover words in speech to humpback whale recordings, uncovering the same statistical structures found in all human languages. This work reveals previously undetected structure in whale song, illustrating a deep commonality between two unrelated species united by the fact that their communication systems are culturally transmitted.

Led by Professor Inbal Arnon of the Hebrew University, Dr Ellen Garland of the University of St Andrews, and Professor Simon Kirby of the University of Edinburgh, in collaboration with Dr Claire Garrigue (IRD New Caledonia), Dr Jenny Allen (Griffith University), and Dr Emma Carroll (University of Auckland), this work represents a unique collaboration between linguists, developmental scientists, marine biologists and behavioural ecologists.

Humpback whale song is one of the most striking examples of a socially learned, culturally transmitted behaviour in a nonhuman animal. Whale song exhibits systematic structure, however, until now, there was little evidence that this structure was like that of human language. One of the big challenges in studying non-human communication is finding out what the relevant parts of the system are. The authors’ breakthrough was to use insights from how babies discover words in speech, and apply them to eight years of humpback whale song data collected in New Caledonia. The authors found that whale song showed the same key statistical properties present in all known human languages. They detected recurring parts whose frequency closely followed a particular skewed distribution, not previously found in any other non-human animal. This work reveals a deeply unexpected commonality between two unrelated species - humans and humpback whales - united by the fact that their communication system is culturally transmitted. This points to the crucial role of learning and transmission in the emergence of structure within such systems. Once thought of as the hallmark of human uniqueness, foundational aspects of human language may be shared across evolutionary distant species.

Dr Ellen Garland from the University of St Andrews said: “Revealing this hidden language-like structure in whale song was unexpected, but it strongly suggests this cultural behaviour holds crucial insight into the evolution of complex communication across the animal kingdom.”

“Whale song is not a language; it lacks semantic meaning. It may be more reminiscent of human music, which also has this statistical structure, but lacks the expressive meaning found in language.”

“Whether the units we detected using the infant-inspired method are salient to the whales themselves remains an open question.”

Prof Inbal Arnon from the Hebrew University said:

“Using insights and methods from how babies learn language allowed us to discover previously undetected structure in whale song”

“This work shows how learning and cultural transmission can shape the structure of communication systems: we may find similar statistical structure wherever complex sequential behaviour is transmitted culturally.”

“It raises the intriguing possibility that humpback whales, like human babies, may learn their song by tracking transitional probabilities between sound elements, and using dips in those probabilities as a cue to segment the song”

Prof Simon Kirby from the University of Edinburgh said:

“It suggests that our understanding of the evolution of language can benefit not only from looking at our closest primate relatives, but also at cases of convergent evolution elsewhere in nature.”

“Looking beyond the way language is used to express meaning, we should consider how language is learned and transmitted culturally over multiple generations.”

“These findings challenge long held assumptions about the uniqueness of human language, uncovering deep commonalities between evolutionarily distant species.”


Spectrogram of whale song 2017 recording


Credit

(Credit-OperationCetaces)

Some species of baleen whales avoid attracting killer whales by singing too low to be heard




University of Washington





Killer whales are the only natural predator of baleen whales — those that have “baleen” in their mouths to sieve their plankton diet from the water. More solitary than toothed whales, baleen whales face predatory attacks from killer whales, especially mother and calf pairs. When attacked, some species fight back, while others choose flight.

But whale species also produce loud underwater songs. What stops killer whales from homing in on their calls and attacking them?

New research from the University of Washington finds some baleen whale species call at such deep frequencies that they’re completely undetectable by killer whales, which cannot hear sounds below 100 hertz. These tend to be the whale species that flee in the face of attack. These deep singers in the “flight” club include blue, fin, sei, Bryde’s and minke whales.

Meanwhile, their higher-frequency singing brethren that fight back when attacked also tend to be slower-moving and more maneuverable. The “fight” club includes right, bowhead, gray and humpback whales.

The research was published Jan. 31 in Marine Mammal Science.

To conduct the study Trevor Branch, professor of aquatic and fishery sciences at the UW, conducted a review of aquarium experiments on killer whales’ hearing ranges, reviewed the source frequency and source level of populations of all baleen whales, and combined these with knowledge of how sounds move through the ocean to predict which whale populations can be easily heard by killer whales. It turns out the calls of flight species generally can’t be heard more than 1 kilometer away by killer whales, unlike the calls of fight species.

The fight or flight hypothesis is not new, but research into acoustics is shedding new insights into adaptations of baleen whales. Could this so-called acoustic crypsis, where whales that call at such deep frequencies that they are acoustically invisible to killer whales, have developed as a defense mechanism from attack?

Killer whales are found in all the world’s oceans, and killer whales’ prey ranges from small fish to the largest whales on Earth. The fight species of baleen whales usually migrate and calve closer to the coast in shallow water, a haven of sorts that provides easier defense against killer whale attacks — especially for group defense in aggregations. Combined with their slow-swimming and more navigable bodies, their communication with other whales is often at higher frequencies easily heard by killer whales — above 1,500 hertz. In contrast, flight species have streamlined and slender bodies adapted for speed, and typically disperse across wider open-ocean regions for mating and calving, where they are able to flee in all directions.

These behaviors also have implications for feeding and mating. Denser congregations in shallow coastal areas leave less food for fight species, in comparison to the open ocean favored by flight species. However, the opposite is true for finding a mate — it’s easier when you’re all in a similar location, versus spread out over long distances. 

Singing is a fundamental part of mate attraction and selection for whales. Males of the flight species sing in a way that maximizes the number of females that hear them, producing simple and repeated songs to attract a potential mate, and singing over prolonged periods to allow females to track them down.

“But these super-loud songs could expose them and their mates to killer whale attack. And this is where acoustic crypsis comes in: singing at low frequencies that are impossible, or very difficult, for killer whales to hear,” Branch said.

The research shows that under the sea there is a sound landscape governed by fear, with some whale species choosing to sing their songs to their prospective Valentines at deep levels to avoid attacks; while other whale species compete to sing the most varied and interesting songs, and fight back when attacked. The fight vs. flight differences appear to drive all aspects of the lives of baleen whales, from where they are found, to their communication, to where and when they breed and feed.

“It just never occurred to me that some whales sing low to avoid killer whales, but the more I looked at this, the more I realized that every aspect of their behavior is influenced by the fear of predation,” Branch said.

For more information, contact tbranch@uw.edu

 BETTER LIVING THROUGH CHEMISTRY

UC Davis researchers achieve total synthesis of ibogaine


Discovery creates opportunities to study therapeutic properties of ibogaine and related compounds



University of California - Davis

UC Davis Researchers Achieve Total Synthesis of Ibogaine 

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In a study appearing in Nature Chemistry, UC Davis researchers report the successful total synthesis of ibogaine, ibogaine analogues and related compounds from pyridine — a relatively inexpensive and widely available chemical. Here we see a neuron treated with the ibogaine analogue (-)-10-fluoroibogamine, which showcased exceptional effects on neuronal growth and connection. 

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Credit: Andy Domokos/UC Davis





Ibogaine — a psychoactive plant derivative — has attracted attention for its anti-addictive and anti-depressant properties. But ibogaine is a finite resource, extracted from plants native to Africa like the iboga shrub (Tabernanthe iboga) and the small-fruited voacanga tree (Voacanga africana). Further, its use can lead to irregular heartbeats, introducing safety risks and an overall need to better understand how its molecular structure leads to its biological effects. 

In a study appearing in Nature Chemistry, researchers at the University of California, Davis Institute for Psychedelics and Neurotherapeutics (IPN) report the successful total synthesis of ibogaine, ibogaine analogues and related compounds from pyridine — a relatively inexpensive and widely available chemical. 

The team’s strategy enabled the synthesis of four naturally occurring ibogaine-related alkaloids as well as several non-natural analogues. Overall yields ranged from 6% to 29% after only six or seven steps, a marked increase in efficiency from previous synthetic efforts to produce similar compounds. 

“Ibogaine’s complex chemical structure makes it hard to produce in significant quantities, and this challenging chemistry has historically limited medicinal chemistry efforts to develop improved analogues,” said the study’s corresponding author David E. Olson, director of the IPN and a professor of chemistry and biochemistry and molecular medicine at UC Davis. “Performing total synthesis solves both problems. We can make it without having to harvest tons and tons of plant material and we can also make analogues, several of which are demonstrating really interesting properties.” 

Despite the cardiac risk of ibogaine, Olson noted that the compound is gaining popularity as a treatment for substance use disorders, traumatic brain injury and other conditions.

“Some people want to find ways to administer ibogaine more safely and you might be able to mitigate risk with careful cardiac monitoring and magnesium supplementation,” he said. “But maybe we just need ibogaine 2.0, a better version that still produces these profound anti-addictive and anti-depressent effects but doesn’t have that cardiac risk.”

Analogues of interest

Olson highlighted two ibogaine analogues of interest from the study. 

The first analogue was the mirror image of ibogaine. In chemistry, this mirror image trait is referred to as chirality. Like your left and right hands, such molecular compounds can’t be superposed on each other.  

“Nature only produces one version and if the therapeutic effects of ibogaine are coming from interactions with another chiral entity, like an enzyme or receptor, then you would expect only the natural version to have an effect,” Olson said. “But if it’s non-specific, then both compounds would produce an effect.”  

When the researchers tested the effects of ibogaine and its mirror image compound on neurons, they discovered that only the natural one promoted neuronal growth. 

“This allowed us to show for the first time that ibogaine’s effects are probably the result of it being bound to a particular receptor,” Olson said. “We don’t have all the details of what receptor that is, but the unnatural compound is a good tool for probing this biology.” 

The second analogue of interest was (-)-10-fluoroibogamine. During experiments, the compound exhibited exceptional effects on neuronal structure and function, promoting growth and reconnection. Additionally, it showcased powerful effects on serotonin transporters, which are proteins that regulate serotonin levels at synapses.

“The serotonin transporter is the target of many antidepressants and is hypothesized to be relevant to ibogaine’s therapeutic efficacy,” Olson said.    

The findings, according to researchers, indicate that (-)-10-fluoroibogamine should be further investigated as a treatment for substance use disorders, depression and related neuropsychiatric diseases. 

Safer and more effective medicines

According to Olson, the research was 10 years in the making with the team exploring multiple synthesis routes, each with varying levels of effectiveness. 

“A lot of these iboga alkaloids and ibogaine analogues are not made from cheap, readily available starting materials,” Olson said. “The difference with our strategy is that we rely on very abundant, inexpensive chemicals, and we can assemble the pieces in just a few steps. Overall, our goal was to create a more efficient process.” 

The research team hopes that their total synthesis strategy will provide researchers with a roadmap for efficiently accessing ibogaine analogues, ultimately leading to safer and more effective medicines.

Research reported in this publication was supported by the National Institute of General Medical Sciences and National Institute on Drug Abuse of the National Institutes of Health under award numbers R35GM14182 and R01DA056365. The content is solely the responsibility of the authors and does not necessarily represent the official view of the National Institutes of Health. The research was also supported by the Camille Dreyfus Teacher-Scholar Award.

 

Air pollution impacts an aging society



Research shows health and economic costs of air pollution in Japan



University of Tokyo

Age-related health impacts of PM2.5 

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Annual average AVSL (age-adjusted value of statistical life) and variation of premature deaths attributable to PM2.5 among individuals in different age groups from 2001 to 2019 across Japan’s 47 prefectures.

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Credit: ©2025 Long et al. CC-BY-ND





Air pollution is a growing health issue worldwide, and its impacts are often underestimated in aging societies like Japan. A new study led by researchers from the University of Tokyo highlights how fine particulate pollution, or PM2.5, not only worsens health outcomes, but also creates significant socioeconomic challenges in regions with aging populations and limited medical resources. The researchers hope these findings motivate policymakers to tackle the interrelated issues behind this problem.

PM2.5 refers to microscopic particles of pollution small enough to penetrate deep into the lungs and bloodstream, leading to severe respiratory and cardiovascular diseases. PM2.5 are small enough to evade the body’s natural defenses in the nose and throat, making direct prevention difficult. This becomes especially problematic in elderly populations.

“As we age, our immune systems weaken and our bodies are less able to defend against pollutants. Even moderate exposure can exacerbate pre-existing conditions, leading to higher hospitalization rates and premature mortality,” said lead author Associate Professor Yin Long. “Our study provides new insights into impacts of PM2.5 in aging regions, with a particular focus on the mismatch between those impacts and regional medical resource distribution.”

The study focuses on Japan, a country where almost 30% of the population is aged 65 or older. Researchers examined the relationship between PM2.5 exposure, health care disparities and economic impacts. They found that rural regions in western Japan, where aging is more pronounced, suffer disproportionately from the dual burden of PM2.5 pollution and less comprehensive medical infrastructure. These areas face higher economic costs compared to urban regions, which tend to be much better equipped and staffed.

“Many rural areas lack the specialized hospitals and trained professionals needed to treat diseases exacerbated by PM2.5, such as strokes and heart attacks,” said Long. “For some working-age seniors, PM2.5 exposure is linked to increased rates of severe illnesses, forcing many to leave the workforce earlier than planned. This not only affects their financial independence, but also places additional pressure on younger generations to support them.”

The study’s economic analysis reveals PM2.5-related deaths and illnesses contribute to rising socioeconomic costs that exceed 2% of the gross domestic product in some regions. The intergenerational inequality PM2.5 impacts poses a challenge for policymakers aiming to ensure both economic stability and equitable access to health care. The researchers emphasize these issues are not limited to Japan. Countries with aging populations and rising pollution levels, including China and parts of Europe, might face similar challenges.

“Our framework can be adapted to analyze these impacts globally. By identifying the most vulnerable populations and regions, governments can allocate resources more effectively,” said Long. “For example, stricter pollution controls, investments in health care infrastructure and international cooperation to address transboundary pollution could all help. And expanding green infrastructure in urban areas can increase plants which naturally filter pollutants, while telemedicine could improve health care access in remote regions.”

Long and her team also suggest policies targeting vulnerable populations, such as subsidies for elderly care and community health programs. “The health of our elderly is not just a personal matter, it’s a public issue with profound social and economic implications,” said Long. “Acting now could save lives and reduce long-term costs for everyone.”

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Journal article: Xiaoyan Xu, Liqiao Huang, Liming Yao, Yoshikuni Yoshida, Yin Long, “Rising Socio-economic Costs of PM2.5 Pollution and Medical Service Mismatching”, Nature Sustainabilityhttps://doi.org/10.1038/s41893-025-01509-9

Funding and acknowledgments:

This research was funded by Japan Society for the Promotion of Science KAKENHI B (JP24K03146, Y.Y.) and KAKENHI C (Grant Number JP23K11542, L.Y.)

Useful links:
Department of Technology Management for Innovation https://tmi.t.u-tokyo.ac.jp/en/
Graduate School of Engineering https://www.t.u-tokyo.ac.jp/en/soe  


A look at the regional mismatch between PM2.5-related socioeconomic costs and health care resources in Japan.

Credit

©2025 Long et al. CC-BY-ND

About The University of Tokyo:
The University of Tokyo is Japan's leading university and one of the world's top research universities. The vast research output of some 6,000 researchers is published in the world's top journals across the arts and sciences. Our vibrant student body of around 15,000 undergraduate and 15,000 graduate students includes over 4,000 international students. Find out more at www.u-tokyo.ac.jp/en/ or follow us on X (formerly Twitter) at @UTokyo_News_en.

 

How neighborhood perception affects housing rents: A novel analytical approach


A hedonic price model incorporating street view images processed by machine learning and existing property data achieves nearly 75% accuracy for rent prediction in Osaka City




Osaka Metropolitan University

Factors in rent prices 

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A new method predicts rents with high accuracy by adding variables of streetscape components and neighborhood perceptions to an existing hedonic price model.

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Credit: Osaka Metropolitan University




Housing rents usually correlate with factors such as the building’s age, facilities, and location. Yet not all rentals with similar physical factors charge the same rent. Psychological factors such as the subjective perceptions of the neighborhood matter as well.

Considering these perception variables, an Osaka Metropolitan University team has developed a method with almost 75% accuracy in explaining housing prices in Osaka City.

The team led by Graduate School of Human Life and Ecology student Xiaorui Wang and Professor Daisuke Matsushita used existing Osaka City property datasets and incorporated additional information on the physical factors (sky, vegetation, and buildings) of the streetscape images, and the impressions (safety, beauty, depression, liveliness, wealth, and boredom) of the streetscape using machine learning.

The method predicted rent prices with an accuracy of 73.92%. Among the variables, the neighborhood perceptions ranked highly as an indicator, just behind the building age, floor area, and distance to the central business district.

The findings were published in Habitat International.

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About OMU 

Established in Osaka as one of the largest public universities in Japan, Osaka Metropolitan University is committed to shaping the future of society through “Convergence of Knowledge” and the promotion of world-class research. For more research news, visit https://www.omu.ac.jp/en/ and follow us on social media: XFacebookInstagramLinkedIn.