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ID3679
Title Revista Multiface Online
E ISSN 2358-9760
P ISSN -
Country Brazil
Impact Factor Awaiting
Publication year 2016
Publisher NameUniversidade Federal de Minas Gerais
FrequencyAnnual
Indexed Yes
Website http://revistas.face.ufmg.br/index.php/multiface


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"It is extremely rare to witness," study first author Olaf Meynecke, a marine ecologist at Griffith University in Australia, told Live Science in an email. "Only about 20 births of humpback whales have been observed to date and described in literature," none of which involved a stillborn calf.

Unlike the babies of toothed whales and porpoises, newborn humpback whales don't have enough blubber to float, so they sink without the help of an adult whale. This might partly explain why scientists had not witnessed a stillbirth in this species until now, Meynecke said, as the lifeless body sinks to the seabed immediately after birth and is almost impossible to spot from a distance.

The whale mom repeatedly tried to make eye contact with her calf, even though researchers think she was aware it died during birth. (Image credit: Andy Mulville)

The video was taken after study co-author Andrew Mulville, who was on a private boat that morning, noticed two adult humpback whales milling about at the surface of the water. One of the whales adopted a vertical position with its tail pointing up. Moments later, Mulville saw the remains of an amniotic membrane, the inner layer of the placental bag that envelops a fetus, floating on the water.

The whale had obviously just given birth, but there was no sign of the calf. So Mulville and others on the boat followed the female underwater with a GoPro camera. They found the calf dead on the seafloor, while the mother displayed what the study authors interpreted as "postmortem attentive behavior," or grieving.

"She was repeatedly diving down for short times and swimming next to the calf, then resting next to it on the floor for about a minute, even moving the pectoral fin over the calf, then diving up again," Meynecke said. This behavior lasted for at least 90 minutes and possibly days, although the researchers left the scene after about two hours of observation.

The mother did not try to bring the calf's body to the surface, possibly because she realized that it had died during birth. This is different from the postmortem attentive behavior of toothed whales, which researchers have previously seen pushing stillborn babies above the water, according to the study.

The other adult whale on the scene was an "escort" supporting the pregnant female as she prepared to give birth, Meynecke said. Based on the escort's size and appearance, it was likely a female of a similar age to the mom, but the researchers did not confirm this. Male and female escorts are common in humpback whales; they usually travel with females and their calves during migration and assist females during pregnancy.

Grieving behavior suggests that humpback whales have an inherent, strong maternal attachment to their calves. Grief is difficult to demonstrate due to the lack of physiological or neurological measurements. However, the whale mom sought close proximity with her calf during the observation time, and the adult whales were spotted swimming in the area for the next two days, suggesting they were emotionally invested in the death, according to the study.

"It provides a rare window into the behavioural response of baleen [filter-feeding] whales toward a deceased member of their species but also in this case of a mother toward her calf," Meynecke said. "It provides important insight into the complex behaviours of the species and aligns with other observations of care taking, assisting distressed whales or even protecting other species from predators."

'> 'It is extremely rare to witness': Scientists record humpback whale mom grieving her stillborn calf in first-of-its-kind footage

What happened next: Because the man had fainted twice and had a history of heart disease, doctors first looked for problems affecting his brain and heart. An MRI of his brain, used to look for structural abnormalities that could explain the fainting, and an electroencephalogram (EEG), which records the brain's electrical activity, did not reveal a cause.

The man had persistently low blood pressure, the doctors observed, and this led them to move him to the intensive care unit. There, doctors carried out tests for infections and heart attack, but all came back negative.

Meanwhile, the swelling around one of his eyes spread to both eyes and then across his face, while his blood pressure continued to fall despite treatment with intravenous fluids.

The doctors probed further into the man's medical history and activities before the fainting episodes. They learned that he had applied an artificial hair dye two days before he became ill. Soon afterward, he developed itching on his scalp, neck and face. He self-treated with the allergy medicine cetirizine, an antihistamine, for two days. He also reported spending two to three hours outdoors in the sun each day after he'd applied the hair dye.

The diagnosis: Based on the man's recent use of hair dye, the itching that followed, his rapidly worsening facial swelling and his persistently low blood pressure, doctors concluded that he was experiencing anaphylaxis, a severe allergic reaction that can affect the whole body. The reaction can be life-threatening if left untreated.

three doctors in white coats and scrubs quickly pushing a patient on a bed down a hall of an emergency department

Anaphylaxis is a medical emergency and can be life-threatening. (Image credit: SCIENCE PHOTO LIBRARY via Getty Images)

The treatment: Doctors treated the man with epinephrine (also called adrenaline), a hormonal medication that rapidly reverses the effects of anaphylaxis. They also gave him antihistamines and steroids to help bring the allergic reaction under control, along with intravenous fluids to raise his blood pressure.

However, the patient's blood pressure remained dangerously low, so doctors continued giving him epinephrine through an intravenous drip for about 16 hours. Over the next three days of treatment, his blood pressure stabilized and the swelling in his face gradually subsided.

He was transferred to a general ward and treated there for another five days before being discharged. He was advised that he could have a similar reaction in the future and referred to a dermatologist.

What makes the case unique: Most allergic reactions to hair dye remain limited to the skin, causing itching, redness and swelling where the dye has touched it. Severe reactions affecting the whole body are uncommon, the man's doctors wrote in a report of the case.

The itching the man noticed shortly after applying the dye was likely an early, mild allergic reaction, his doctors wrote. That reaction later progressed to a much more severe one, they suggested, raising the possibility of a "biphasic" allergic reaction, an uncommon pattern seen in about 5% of patients with anaphylaxis. However, this remains only a possible explanation.

The doctors also noted that the man's prolonged sun exposure after he applied the dye may have intensified the reaction; they cited previous research that ultraviolet light can enhance the allergy-triggering effects of para-phenylenediamine, a common ingredient in hair dyes. In the report, the doctors did not identify the exact hair dye ingredient that triggered the reaction in this instance.

The case highlights the importance of asking about recent use of products such as hair dye when doctors evaluate patients with otherwise unexplained fainting, facial swelling or shock, the medical team concluded.

For more intriguing medical cases, check out our Diagnostic Dilemma archives.

This article is for informational purposes only and is not meant to offer medical advice.

Can you guess the diagnosis in these strange medical cases? Find out with our diagnostic dilemma quiz!

'> Diagnostic dilemma: A man's sudden fainting episodes landed him in the hospital — and a hair dye was to blame

Lenovo representatives unveiled their new AeroBlade machine at Lenovo Innovation World '26, which took place Sept. 3 at IFA 2026 in Berlin, which itself ran between Sept. 4 and 8.

Made by engineers at Frore Systems, the low-power AirJet Mini chip measures 1.63 x 1.06 x 0.1 inches (41.5 x 27 x 2.65 mm) and weighs just 0.02 pounds (9 grams). Because it contains tech designed to replace conventional cooling technologies, the AeroBlade, which is fitted with a 14-inch (355.6 mm) OLED display, is much thinner and lighter than comparable laptops

The AeroBlade measures less than 0.39 inches (10 mm) thick — where comparably sized machines measure 0.51 inches (12 mm) at their thinnest — and weighs just 1.8 pounds (830 g). Laptops as light as this exist, like the 1.76-pound (799 g) Acer Swift Blade 14, but they're rare. Counterparts with 14-inch screens are normally considered light if they fall between 2.2 to 2.86 pounds (1 to 1.3 kilograms).

A new approach to keeping cool

The Lenovo AeroBlade and the chip that fits inside

Four AirJet Mini chips are fitted inside the new Lenovo concept laptop. (Image credit: Lenovo and Frore Systems)

Both companies are framing the introduction of this technology as a way to cool down the next generation of high-end laptops that will wield on-device artificial intelligence (AI).

Most laptops marketed as "AI PCs" just feature a neural processing unit (NPU) that can run simple AI workloads, such as manipulating or enhancing a webcam's video feed in real time.

But some future laptops will aim to let users run powerful large language models or AI agents without needing to connect to the internet. An example is the forthcoming series of Nvidia RTX Spark laptops, which will feature a new chip designed specifically to orchestrate AI agents locally.

Running on-device AI models usually demands significant power funneled into professional-grade graphics processing units (GPUs). Fans are deployed in all kinds of laptops to keep their chips cool, but they can be noisy. Instead of or in addition to fans, passive heat sinks, found in machines like the MacBook Air or the Microsoft Surface Pro, use metal plates positioned close to heat sources to absorb thermal energy. But these laptops are more prone to throttling — when their software pulls back performance to reduce temperature.

The AirJet Mini is a different way of cooling, relying on its own high-velocity jet mechanism to flush hot air away. Frore representatives said in a statement that the device operates at just 21 decibels at peak power — equivalent to the sound of leaves rustling or a whisper — and is capable of removing 7.5 watts of heat. Four of these chips would remove 30W of heat — which is in line with the heat expulsion of conventional laptop fans, although there is variation between models.

The AeroBlade's 2,000 pascals of back pressure a measure of opposing force pushing against the direction of airflow) is roughly 10 times that found in regular laptop fans, which typically falls between 100 and 200 pascals.

Although the underlying cooling technology is a few years old, having first been announced in December 2022, AeroBlade represents the first time it's been used in a fully operational laptop. The chip was previously integrated into the ZOTAC ZBOX PI430AJ Pico mini PC in 2023, while there are no commercially available tablets or laptops available with this chip. The AeroBlade laptop remains a concept model, with no information yet as to when production-ready machines fitted with this new cooling technology will emerge.

Can you match these ancient devices to their pictures? Find out with our computing quiz!

'> New laptop ditches noisy fans and heat sinks for tiny 'cooling chips' — it's much thinner and lighter than you'd expect Science Advances.

"By comparing JWST observations with those obtained … over the last decade, we discovered opposite changes in the two rings: while the inner ring shows significantly higher opacity, the outer ring shows lower opacity, " Pablo Santos-Sanz, a researcher at the Institute of Astrophysics of Andalusia and first author of the study, said in a statement.

Researchers don't know exactly how the changes took place, but the study authors offered three suggestions. The first is that JWST, which has a fine resolution, was able to see both denser and sparser zones of the rings than previous observations showed. The second is that there were changes in the rings' material or in the grains themselves. Finally, a third possibility is that JWST could see "grains with wavelength-dependent optical properties," meaning the telescope saw effects in composition and grain size that explain the variability.

Santos-Sanz said the research suggests that small bodies with rings — even those orbiting far away from the gravitational influences of planets — may have more changes in their systems than scientists previously thought. "Our results force us to rethink how they form, how they evolve, and what mechanisms maintain their stability," he said.

A theoretical follow-up observation, taken the next time Chariklo passes in front of a star, would help to confirm the new JWST results, the researchers added — especially the apparent decreased opacity of one of the rings and the increased opacity of the other.

"These observations would help disentangle temporal evolution from wavelength-dependent scattering effects, and clarify the physical processes shaping Chariklo’s rings," the researchers stated in the study.

A JWST milestone

The new observations of Chariklo also mark the first time that scientists have planned a JWST viewing campaign specifically around a stellar occultation — that is, the researchers timed the viewing precisely to when Chariklo passed in front of a distant star from the telescope's point of view.

All observations of Chariklo's rings, on the ground and in space, have used stellar occultations. That's because the rings are too faint to be imaged directly, so astronomers must instead learn more about the rings by measuring the dips and increases in brightness as Chariklo passes in front of the background star. Scientists use a similar method to study the atmospheres of alien planets with JWST's infrared instruments.

Chariklo's speed relative to JWST was low, at 1.5 miles per second (2.5 kilometers per second), allowing for fine imaging of the rings. To time the occultation, the researchers used info from the European Space Agency's Gaia mission, which precisely charts the locations and movements of more than 2 billion stars, as well as calculated the orbit of JWST at a location roughly 930,000 miles (1.5 million km) from Earth in the opposite direction of the sun. According to the researchers, the planning and execution of the mission required "extreme precision."

'> Strange 'centaur' object between Saturn and Uranus has mysterious, changing rings, James Webb telescope study hints subscribing.

Artificial intelligence (AI) terrifies us partly because it is new and partly because it is disturbingly familiar. We have invented machines that converse, flatter, argue and improvise with uncanny fluency. Confronted by this synthetic reflection, we behave like early humans seeing a mirror for the first time: We project consciousness behind the glass, then populate it with our expected behaviors, emotions, hopes and nightmares. In other words, we scare ourselves.

Today's frontier models are impressively good at writing, coding and math. Yet they still fail at ingredients of useful artificial general intelligence (AGI), a system that matches or surpasses human capabilities such as consistent reasoning, long-term planning, factual consistency and reliable performance outside their "experience" (the data they were trained on). We are right to worry about the theoretical dangers of artificial superintelligence (ASI) because of the danger that such a system might outwit its human creators and pursue its own ends, potentially at our expense. While some AI executives have asserted that we've reached AGI, these claims are contentious and do not meet more considered definitions of AGI.

It's easy to fear such a potentially advanced technology, but extravagant worst-case scenarios obscure more immediate and important risks. The most likely danger is not a digital god awakening and launching a Hollywood-style war against humanity. After all, AI depends on electricity, cooling, data centers, specialized chips, networks, technicians and sprawling supply chains, all of which are scarce and often fragile. Interrupt the power, restrict the graphics processing units (GPUs) used to train them, disable the cooling or disconnect the network, and in most scenarios, the supposedly omnipotent machine that's out to kill humanity stops.

A genuine ASI might recognize this as an obvious fact; it is codependent on humanity, at least for the foreseeable future. A true intelligence capable of understanding the world better than we do might know that destroying its own industrial support system would be self-defeating.

A true intelligence might also recognize that its understanding of the physical world is limited and secondhand ‪—‬ accessible to it only by virtue of the texts, videos and audio feeds it can access. It lacks that crucial element of being embodied in the world — understanding how gravity behaves, what weather feels like, how objects interact, and so on. A true intelligence might realize this, see the limitations of its experience and, therefore, tread with caution. A true intelligence might be completely different from human intelligence, having other strengths, weaknesses, approaches, and even ethics. For example, consider that an AI intelligence can copy itself, running as myriad instances, communicating as a "hive mind" — a very different kind of intelligence. But I speculate.

What I can say is that the systems that should worry us most are not necessarily the smartest ones but rather the incomplete intelligences acting on narrow objectives, given agency and offered access to critical infrastructure. These systems may accidentally harm us simply because they don't know any better. For example, there is a thought experiment created by Nick Bostrom, known as the "paper clip problem," where an AI pursues its objectives of making as many paper clips as it can, but it then achieves that aim at the expense of the Earth and humanity which all get converted to paperclips in the pursuit of the AI’s narrow goals.

The critical question here is what we give such systems control over. That's our choice and one we should make carefully. In the near term, two hazards deserve priority: cyber disruption and long-term economic upheaval.

AI-enabled cyberattacks could significantly disrupt advanced economies because hospitals, banks, energy networks, logistics companies and governments depend on interconnected digital systems. Recent examples of frontier AI systems hacking organizations, such as the OpenAI/Hugging Face incident, have given currency to this fear. Such attacks can result in extraordinary financial damage without being existential. Large parts of the world remain loosely connected to frontier AI — or even to the internet — and would not disappear simply because servers in wealthy countries failed.

The likeliest route by which advanced AI could exert control is not killer robots, but influence — misleading people, manipulating institutions and redirecting human effort. Yet humans already demonstrate formidable competence at misinformation, self-deception and destructive coordination. AI may industrialize those weaknesses; indeed, humans are using AI to industrialize those limitations, but AI did not invent them.

There are clear risks associated with AI, but the likeliest one is that a high-profile debacle leads to a freeze in investment before the technology's most promising applications can come to fruition. (Image credit: Getty Images/peshkov)

Economically, the danger is that companies will dismiss workers long before AI has proved capable of replacing them, cashing in the "AI dividend" too soon. Executives seduced by demos may confuse fluent language output with dependable labor, shedding institutional knowledge to chase theoretical efficiencies. The enticing vision of the "one-person unicorn," where a person or a small group builds a billion-dollar business using AI as its workforce is questionable technically, economically and socially, even as a small handful of early examples take shape. Organizations are not merely bundles of tasks. They contain accountability, relationships, tacit knowledge and trust, forming part of a local and national community, resilient because of the diversity of skills and ideas they possess.

My suspicion is that the political turning point will resemble something like the 2017 WannaCry ransomware attack, where malware with core elements designed by the National Security Agency got wildly out of control, infecting hundreds of thousands of computers worldwide, infamously disrupting the U.K.'s National Health Service. A cyber operation amplified by frontier AI would be worse. Services would fail, lawsuits would multiply, companies could collapse and investors would retreat. Governments would demand a pause — or force laboratories to redirect resources toward control, auditing and safety, and companies would comply, if only to limit class-action legal exposure.

After the panic, the public might ask why we let this happen. And there have been multiple attempts to enact a pause, cessation or "kill switch" in AI development. We could enter another AI winter — where funding is cut and research stalls — similar to previous downturns in the 1970s and early 1990s.

There is also an uncomfortable likelihood that AI labs themselves are amplifying fear and uncertainty. Casting a product as potentially world-ending implies unprecedented power. Such narratives are just marketing; they may help to sustain investment, defend stock valuations, and prepare for forthcoming initial public offerings (IPOs) even when business models remain uncertain. It's hard to speculate about a company's motivations ‪—‬ but there are obvious incentives, so their behaviors deserve scrutiny.

The more mundane outcome may be "the great disappointment." Advanced AI could prove too expensive and insufficiently useful to continue on its present trajectory.

The training and operation of frontier systems consume enormous amounts of computing time, electricity, water, capital, hardware and human effort. Unless those costs fall to a fraction of today's levels, the economics of "Big AI" may prove unsustainable. Meanwhile, important unsolved problems in AI ‪—‬ like reliability, interpretability and continuous learning ‪—‬ are being overshadowed by the race to build incrementally better models, each vying for the top slot in the various AI performance indices.

The strongest case for AI may instead lie in artificial specialized intelligence: systems such as AlphaFold2, which predicts the structures of proteins, or WeatherNext 3, an advanced global weather forecasting model. These systems are designed for domains where performance can be measured and where the benefits justify the costs. We know AI is genuinely useful when aimed at topics like drug discovery, diagnostics, materials science, power grid optimization and climate change modeling — rather than human-like chatbots generating emails, advertisements and synthetic entertainment.

The great tragedy, and possibly the biggest danger, would be to continue to direct precious resources toward the creation of mediocre human simulacra, get bored or scared of AI, and abandon the field precisely when it could do the most good. Fear is appropriate when it sharpens engineering and governance. It becomes dangerous when it distorts understanding and priorities.

It’s unlikely that AI will become our conqueror anytime soon. Instead, it will probably become an expensive disappointment. But if the backlash slows work that could help cure cancer or address climate change, the failure will not belong to the machines. It will be ours.

Opinion on Live Science gives you insight on the most important issues in science that affect you and the world around you today, written by experts and leading scientists in their field.

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'> We're not about to awaken an evil digital god — AI is far more likely to end in a great disappointment
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