After nearly two decades of work, scientists have completed a wiring diagram of the central nervous system of an adult male fruit fly (Drosophila melanogaster).

The post Researchers Unveil Complete Fruit Fly Connectome appeared first on Sci.News: Breaking Science News.

Un nuovo allarme sul futuro dell’intelligenza artificiale arriva da Jacob Coxon, ex ricercatore di Anthropic, che in un messaggio pubblicato su X ha sostenuto che i sistemi di IA potrebbero diventare presto così potenti da rappresentare un rischio per l’umanità.Secondo Coxon, le aziende tecnologiche stanno sviluppando sistemi sempre più avanzati, capaci in futuro di migliorarsi […]

Al largo della costa della California, le Channel Islands stanno offrendo agli archeologi importanti testimonianze sul passato del Nord America. Tra le scoperte più significative ci sono i resti dell’Uomo di Arlington Springs, risalenti a circa 13.000 anni fa e considerati tra le più antiche testimonianze di un adulto presenti nel continente.I resti furono scoperti […]

The Denisovans, the enigmatic archaic human relatives first identified from a finger bone and a handful of teeth in a Siberian cave, have long been known almost exclusively through their DNA. Now, a landmark study published in Nature has pulled back the curtain on how these ancient hominins actually lived — what they ate, how they hunted, what tools they made, and the environments they braved — through an extraordinary assemblage of fossils and artefacts from Bianfu Cave in Yunnan Province, southwestern China. The findings paint the most detailed portrait to date of Denisovan biology, behaviour and ecology in eastern Asia, and suggest that these vanished people left a deep genetic and cultural imprint on later populations across Southeast Asia and Oceania.

The research team, led by Qingfeng Ruan, Hua Li and Song Xing and their colleagues, conducted a comprehensive analysis of hominin fossils and the associated archaeological remains recovered from Bianfu Cave. The hominin fossils themselves date to roughly 167,000 to 134,000 years ago, placing them firmly in the Middle Pleistocene. But the cultural sequence preserved in the cave’s sediments is far longer, stretching from approximately 190,000 years ago to about 70,000 years ago. That span — some 120,000 years of continuous or near-continuous occupation — makes Bianfu Cave one of the longest cultural records that can most parsimoniously be attributed to Denisovans anywhere in the world.

The Denisovan identity of the fossils was established through two independent and technically demanding lines of evidence. The first involved analysis of the enamel–dentine junction, the internal boundary between the enamel cap and the underlying dentine of the teeth. This three-dimensional morphological interface acts something like a fingerprint of evolutionary relationships, revealing diagnostic traits of the tooth’s internal architecture that are invisible from the outside but characteristic of particular hominin lineages. The second line of evidence came from palaeoproteomics, the recovery and identification of ancient proteins preserved within fossilized tissues. Because proteins are far more abundant and durable than DNA, they can survive in warm, humid environments like those of southern China, where genetic material degrades rapidly. Sequencing these ancient proteins allowed the researchers to place the Bianfu hominins on the Denisovan branch of the human family tree with confidence.

The fossil collection itself is remarkable. It includes four teeth that substantially expand the known range of dental variation within the Denisovan lineage — a critical contribution, since Denisovans were previously represented by a very small number of dental specimens, making it difficult to gauge how variable their teeth could be. The new fossils also include two cranial fragments and a radius, a forearm bone, providing rare glimpses of Denisovan skull and postcranial anatomy that were previously almost entirely unknown. Together, these remains transform Denisovans from a genome and a scatter of isolated teeth into a population with recognizable skeletal biology.

Beyond the fossils, the archaeological record from Bianfu Cave offers something equally precious: a window into Denisovan daily life. The researchers reconstructed the ancient environment using faunal remains and pollen preserved in the cave deposits. These records indicate that across Marine Isotope Stages 6 through 4 — a period encompassing major glacial–interglacial climatic swings between roughly 190,000 and 57,000 years ago — the landscape around the cave was dominated by coniferous forest or a mosaic of forest and steppe. This was a cool, variable environment that Denisovans exploited successfully across tens of thousands of years, demonstrating a resilience to climatic change that adds to growing evidence of their adaptability, from the high altitudes of the Tibetan Plateau to the subtropical latitudes of mainland Southeast Asia.

The subsistence evidence is particularly striking. Analysis of the animal bones from the cave shows that its inhabitants practised specialized hunting focused on medium- to large-bodied prey. This was not opportunistic scavenging but a sustained, targeted hunting strategy — one that would have required knowledge of animal behaviour, coordinated effort and effective weaponry. Specialized big-game hunting of this kind has often been associated with modern humans and late Neanderthals in western Eurasia, so finding it in a Denisovan context more than 150,000 years ago dramatically narrows the perceived behavioural gap between these archaic lineages and our own species.

Yet the technological strategy documented at Bianfu Cave is, at first glance, surprisingly simple. The stone tool assemblage is characterized by expedient core reduction and tool production — that is, the inhabitants struck flakes from cores as needed, used them, and discarded them, rather than investing in carefully shaped, curated tools that were carried, maintained and resharpened over time. Alongside this, the Denisovans of Bianfu Cave made pervasive use of unmodified bones, employing skeletal elements of their prey directly as tools without altering them beforehand.

Taken together, the researchers interpret this pattern as an adaptive system that prioritized the exploitation of what they call object affordance — the inherent functional possibilities already present in a raw material or object — over intensive tool manufacture. A suitably shaped bone fragment could serve as a hammer, a digging implement or a scraping tool with little or no modification; a sharp flake struck from a convenient core could cut and butcher without further refinement. In the rich, resource-diverse environments of subtropical southwestern China, where raw materials and animal resources were plentiful, such a flexible, low-investment strategy may have been not a sign of simplicity but a highly efficient way of life. It suggests that Denisovans measured success not by the sophistication of their toolkit but by how skilfully they read and exploited the opportunities their landscape provided.

This behavioural portrait gains added significance when set against the wider geography of Denisovan presence. Over the past decade and a half, Denisovans have been documented across a staggering range: from the original genomic discoveries in the Altai Mountains of Siberia, first reported in 2010, to the mandible from the Tibetan Plateau described in 2019, Denisovan DNA recovered from sediments at Baishiya Karst Cave in 2020, a molar from the Annamite Chain of northern Laos announced in 2022, a male Denisovan mandible from Pleistocene Taiwan reported in 2025, and proteomic identification of the 146,000-year-old Harbin cranium, also in 2025. Bianfu Cave now anchors this story firmly in southwestern China, a region long suspected to have been a Denisovan heartland and a critical corridor for hominin movements between mainland Asia and Southeast Asia.

The study’s authors argue that the region’s Denisovans point to a substantial genetic and cultural legacy in later human populations. Modern populations in Southeast Asia and Oceania carry the highest known proportions of Denisovan ancestry anywhere in the world — a legacy of interbreeding that occurred as modern humans moved through and beyond island Southeast Asia. The new evidence from Bianfu Cave suggests that the ways of life practised by Denisovans in this region — their hunting strategies, their flexible technological approaches, their hard-won knowledge of tropical and subtropical environments — may have been part of the inheritance, alongside their genes, that helped later human populations thrive as they spread across the diverse and challenging landscapes of Asia and the Pacific.

For palaeoanthropologists, the significance of the Bianfu Cave discoveries is difficult to overstate. Denisovans have been the least anatomically documented of all known hominin groups — a lineage defined first by DNA and only slowly fleshed out with fragmentary fossils. The new teeth, cranial fragments and radius from Yunnan, combined with an unmatched 120,000-year archaeological sequence, mean that researchers can finally study Denisovans not just as a genome or a set of molecular signatures but as a living, adapting population: hunters of large game, makers and users of expedient tools, and inhabitants of conifer forests that swung between glacial cold and interglacial warmth. As analysis of the Bianfu material continues, it promises to reshape our understanding of how archaic humans lived in eastern Asia and how deeply their story is woven into our own.

The story begins with a cartoon. In late 1987 a low-budget animated series called Teenage Mutant Ninja Turtles began airing on American children’s television, and within eighteen months it had become the most successful children’s franchise of its decade. Sales of turtle-themed toys, lunchboxes, video games, and Halloween costumes went through the roof. And so did sales of actual pet turtles. American reptile farms, most of them clustered along the Mississippi River basin where the red-eared slider is native, ramped up production to meet the demand. Hatchlings the size of a fifty-cent piece were shipped by the tens of millions to pet stores across the United States and around the world.

What almost nobody selling the turtles bothered to mention was that a hatchling red-eared slider grows into an adult red-eared slider weighing up to three kilograms, requiring a hundred-gallon tank with filtration, and living for forty years or longer. Within a few years, unwanted adult sliders started turning up in ponds, rivers, and public parks in countries where the species had never existed before.

How 52 million turtles left the country

According to the International Union for Conservation of Nature’s Global Invasive Species Database entry on Trachemys scripta elegans, compiled by the IUCN Species Survival Commission’s Invasive Species Specialist Group and citing the original Telecky 2001 tally of the United States pet turtle export trade, more than 52 million red-eared sliders were exported from American turtle farms to overseas pet markets between 1989 and 1997. The primary destination was China, though large numbers also went to Japan, Taiwan, Thailand, South Korea, and Singapore, along with substantial shipments to France, Spain, Italy, Germany, the United Kingdom, Australia, South Africa, and Brazil. The reason American farms could produce sliders at that scale was that the species is remarkably easy to breed in captivity. The reason they were so easy to ship was that a hatchling turtle weighs almost nothing and can be packed into ventilated boxes by the hundreds.

The European Union, watching this happen in real time, banned the import of Trachemys scripta elegans on 22 December 1997. That single regulatory decision effectively ended the American export trade to Europe overnight. By the time it came into effect, however, the damage across the European continent was already done. Feral populations had established themselves in France, Spain, Italy, Portugal, Slovenia, Greece, Germany, Austria, Switzerland, the Netherlands, Belgium, Poland, Latvia, and the United Kingdom. Similar populations were showing up in the wetlands of every country the trade had reached. The turtles that had already been sold were still alive. Their owners were still tiring of them. The ponds behind their houses were still available.

If our animal kingdom fascinates you, you’ll enjoy this video we made on the recorded adventure of a young elephant bull, and what his route revealed: 

What happens when a tank turtle meets a lake

The red-eared slider turns out to be an unusually well-equipped invader. It reaches sexual maturity in three to four years, which is faster than most native freshwater turtles it competes with. Females can lay up to six clutches per year of up to thirty eggs each, giving the species a reproductive rate roughly two or three times higher than the European pond turtle it is now displacing across much of the continent. Adults tolerate a wide range of water conditions, from clean rural rivers to heavily polluted urban canals. They are omnivorous and will eat almost anything a freshwater environment can offer. They are aggressive at basking sites and will physically displace smaller native turtles from the sunning logs they need for thermoregulation.

The competitive dynamic has been most extensively studied in France, where researchers from the University of Paris-Sud have been documenting the interaction between introduced sliders and the native European pond turtle (Emys orbicularis) for the past two decades. What they have found is that in ponds where sliders are present, the native pond turtles are pushed to lower-quality basking sites, tend to survive at lower rates, and produce fewer offspring per breeding season. The European pond turtle is classified as Near Threatened on the IUCN Red List. Every additional slider in a European wetland adds to the pressure. Similar competitive displacement has been documented in Washington State against the Pacific pond turtle, in Australia against native short-necked turtles, and across Asia against a dozen freshwater species that had evolved in the absence of anything resembling a Mississippi-basin generalist.

According to The Nature Conservancy’s 2019 Cool Green Science article on American species invading other countries, written by staff science journalist Justine E. Hausheer, the geographic reach of the red-eared slider now covers essentially every continent where freshwater habitat and moderate temperatures exist. Established feral populations have been confirmed in the western United States, Australia, New Zealand, Europe, Great Britain, South Africa, the Caribbean, the Middle East, Southeast Asia, and several Pacific island groups. Only Antarctica remains slider-free, and even that exemption is only because Antarctica has no freshwater ponds and does not get above freezing for most of the year. If it did, and it had ponds, the sliders would probably be there too.

The IUCN Species Survival Commission’s Invasive Species Specialist Group formally listed the red-eared slider on the Global Invasive Species Database’s roster of the hundred worst invasive species anywhere in the world. The species now ranks number 93 on that list. It sits alongside brown rats, feral cats, cane toads, and the emerald ash borer as a species whose global spread has caused measurable and lasting ecological harm. Australia’s Vertebrate Pests Committee has assigned it a threat category of EXTREME. Multiple European countries have banned its sale, its keeping as a pet, or both. Illegal shipments continue anyway. Buddhist mercy ceremonies in parts of East Asia continue to release captive-bred sliders into rivers as an act of religious devotion, unaware or unbothered that the specific animal being released is an invasive species that will outcompete the native turtles the ceremony was originally designed to protect.

What the whole episode represents is one of the more improbable ecological consequences of a late-1980s children’s television programme. The Ninja Turtles cartoon ran for ten years. American reptile farms produced tens of millions of live turtles to meet the resulting demand. The turtles grew larger than their owners expected. The owners released them into the nearest available water. And forty years later, a native North American reptile that once occupied the freshwater ponds of a few states along the Gulf Coast now occupies almost every freshwater pond on the planet warm enough to support it. The turtles never asked to be there. They just weren’t given much choice. And once they arrived, they turned out to be remarkably well-suited to staying.

The post Between 1989 and 1997 the United States shipped more than 50 million pet turtles abroad, and enough of the red-eared sliders were later dumped in ponds and rivers when they grew too big that the species now outcompetes native turtles on every continent but Antarctica, listed among the 100 worst invaders on Earth. appeared first on Space Daily.

Una scoperta archeologica in Bulgaria potrebbe aver restituito la drammatica storia degli ultimi istanti di vita di un giovane vissuto circa 1.600 anni fa. I suoi resti sono stati rinvenuti all’interno di un enorme recipiente di ceramica durante gli scavi dell’antica città romana di Deultum. Il ritrovamento è avvenuto il 10 agosto, all’interno di una […]

O Threads disponibilizou uma nova versão do seu painel de insights destinado aos criadores da plataforma, expondo com mais clareza o funcionamento do seu algoritmo.

Além de seguir apresentando a quantidade de visualizações, espectadores, curtidas e republicações, agora o painel conta com resumos gerados pela Meta AI sobre o desempenho da conta e de postagens individuais, comparando o alcance e engajamento da sua conta.

Em um salto qualitativo, a IA da Meta é capaz de detalhar a porcentagem de queda nas visualizações e interações, bem como as preferências do público e o perfil demográfico médio dos seus seguidores.

Mas, como observado pelo Engadget, apesar das adições houve a remoção de uma métrica: a das visualizações sobre cliques em links. Antes mesmo dessa decisão da Meta, a intenção (ou falta dela) da empresa quanto à saída do app já foi motivo de muitas especulações, sobretudo se a Meta boicotava (ou não) o alcance dos criadores que adicionavam links externos em suas publicações.

via TudoCelular.com

In one of the most comprehensive investigations of its kind, researchers have taken a major step toward untangling the biology underlying suicide risk, moving the field beyond long-standing debates about whether suicidal behavior is simply a consequence of psychiatric illness. By integrating large-scale genetic data with cutting-edge approaches that map how genes act in specific brain cells and circuits, an international team has identified shared genetic liability that cuts across psychiatric diagnoses while also pinpointing druggable biological pathways that could one day inform prevention strategies. The study, published in Translational Psychiatry, offers a sweeping synthesis of how inherited risk factors may translate into molecular vulnerabilities, and it does so with a level of resolution that previous candidate-gene approaches could never achieve.

Suicide remains one of the leading causes of death worldwide, claiming more than 700,000 lives each year according to global health estimates. Despite decades of research, clinical prediction remains stubbornly imprecise, and biological models of suicidal behavior have historically been hampered by small sample sizes, inconsistent findings, and a tendency to conflate suicide risk with the psychiatric disorders with which it so often co-occurs. Major depression, bipolar disorder, schizophrenia, and substance use disorders all carry elevated suicide risk, yet most people with these conditions never attempt suicide, while some individuals who die by suicide have no diagnosed psychiatric illness at all. This paradox has long suggested to researchers that suicidal behavior may possess partially distinct biological underpinnings, and the new study set out to test that hypothesis with unprecedented statistical power.

At the heart of the work lies genome-wide association study methodology, or GWAS, which scans hundreds of thousands to millions of genetic variants spread across the entire genome in very large groups of people, comparing individuals who have experienced suicidal thoughts or behaviors with those who have not. Each variant is tested for statistical association with the outcome, and the results can be combined into polygenic risk scores, numerical summaries of a person’s inherited liability based on the cumulative small effects of thousands of variants. Because no single common variant exerts a large effect, the field depends on aggregating data across massive biobanks and cohorts, a strategy that has only become feasible in the past decade as datasets containing hundreds of thousands of individuals became available.

The research team took particular care to address a central confound: psychiatric disorders themselves are highly heritable, and any genetic signal linked to suicide could simply reflect inherited liability to depression or schizophrenia rather than to suicide specifically. To disentangle this, the investigators applied sophisticated statistical techniques, including genetic correlation analysis and conditional modeling, which allow researchers to ask how much genetic overlap remains between suicidal behavior and psychiatric conditions after accounting for their shared heritability. Their findings revealed a complex architecture. Substantial genetic correlations confirmed that suicide risk shares a meaningful fraction of its inherited basis with major psychiatric disorders, supporting the idea of a common pool of genetic liability. Yet the analyses also uncovered signals that persisted beyond what could be explained by those disorders, pointing to biological mechanisms that may be more specific to the emergence of suicidal thoughts and actions.

A key conceptual innovation of the study is its framing of “shared genetic liability” as a bridge between diagnoses. Rather than treating suicide as an epiphenomenon of any single disorder, the researchers modeled it as a transdiagnostic phenomenon, one whose risk emerges partly from inherited vulnerabilities that cut across diagnostic categories. This perspective aligns with a growing movement in biological psychiatry that emphasizes symptom dimensions and mechanisms over traditional diagnostic boundaries. From this vantage point, the genetic variants that raise risk for depression, PTSD, and schizophrenia may do so partly because they converge on shared molecular pathways, and those same pathways may govern an individual’s threshold for suicidal crises regardless of which diagnosis they carry.

Identifying genetic variants, however, is only the first step. A GWAS signal typically points to a genomic region rather than a specific causal gene or mechanism, since many associated variants fall in non-coding stretches of DNA that regulate gene activity from a distance. To translate statistical associations into biological insight, the team deployed a battery of functional genomics approaches. Transcriptome-wide association studies, known as TWAS, integrate gene expression data to identify genes whose genetically predicted expression levels are linked to suicide risk. Tissue and cell-type enrichment analyses then ask whether the implicated genes are unusually active in particular organs or cell populations. The results converged strikingly on brain tissue, and more specifically on neuronal populations, providing support for the idea that inherited suicide risk is mediated largely through gene regulation within the central nervous system.

The study’s most clinically provocative findings concern druggable biology. Using databases that catalog the protein targets of approved and investigational medications, the researchers examined whether genes implicated in suicide risk were over-represented among known drug targets. The analysis identified several classes of candidate targets, including components of neurotransmitter signaling systems, ion channels, and intracellular signaling cascades that are already the focus of pharmacological development for other conditions. This “druggable genome” approach, which has gained traction in genetics research across many diseases, offers a pragmatic shortcut for translational science: rather than waiting decades for entirely new therapeutic classes to be invented, researchers can prioritize existing or in-development compounds whose molecular targets intersect with genetically implicated pathways.

Among the pathways receiving attention in the analysis were those involving glutamatergic and GABAergic neurotransmission, the primary excitatory and inhibitory systems of the brain, which have repeatedly surfaced in studies of mood disorders and stress response. The endocannabinoid system and inflammatory signaling pathways also appeared in the convergent analyses, consistent with a broader literature linking immune dysregulation and allostatic load to suicidal ideation. Importantly, the authors emphasize that these findings identify hypotheses rather than ready-made treatments. Genetic association with a drug target does not guarantee that modulating that target will reduce suicide risk, and any therapeutic application would require extensive preclinical validation and carefully designed clinical trials. Nevertheless, the work provides a principled, data-driven map for where to look, replacing decades of largely failed candidate-gene speculation with a genome-wide evidence base.

The methodological rigor underpinning the study deserves emphasis, because the genetics of suicidal behavior has a troubled history. Early candidate-gene studies, which typically examined a handful of variants in genes related to serotonin signaling, produced findings that largely failed to replicate and in some cases were later shown to reflect statistical artifacts, small samples, and publication bias. The field has since undergone a reckoning, and modern efforts adhere to far stricter standards: preregistered analyses, very large and ancestrally diverse cohorts, replication in independent samples, and conservative multiple-testing corrections that demand genome-wide significance thresholds on the order of five times ten to the negative eighth power. The new study reflects these lessons, applying sensitivity analyses to guard against confounding from psychiatric comorbidity and examining whether findings generalize across ancestral groups, an issue of considerable importance given that most genetic discovery to date has been conducted in populations of European ancestry.

The implications for clinical practice, while still distant, are worth considering. Polygenic risk scores for suicide-related outcomes currently explain only a small fraction of individual differences in risk, far too little to be used as stand-alone screening tools, and their predictive performance is degraded in populations not represented in the discovery data. Researchers in the field are careful to stress that genetic risk is not destiny: suicidal behavior arises from an intricate interplay of inherited vulnerability, mental illness, trauma, substance use, social isolation, access to lethal means, and the availability of support. What genetics offers is not a crystal ball but a window into mechanism, and mechanistic knowledge is the raw material from which better biomarkers, risk stratification tools, and ultimately targeted interventions are built. In the near term, the druggable pathway findings are most valuable as a guide for laboratory science, directing neurobiologists toward molecular systems whose manipulation might alter suicide-relevant phenotypes in animal models and cellular assays.

Looking forward, the study signals where the field must go next. Sample sizes for suicide-specific genetic analyses remain smaller than those for major psychiatric disorders, and expanding representation across ancestries is essential if the benefits of this research are to be shared equitably. Integrating genetic data with longitudinal measures of life stress, neural imaging, and digital phenotyping may eventually allow researchers to model how inherited liability interacts with environmental triggers across the lifespan. Functional experiments in induced pluripotent stem cell-derived neurons and brain organoids could test whether the implicated genes genuinely alter stress-response circuitry or resilience. And randomized trials in patients carrying high genetic liability, though ethically and logistically complex, represent the logical endpoint of the druggable-target approach.

What the study ultimately delivers is a reframe. Suicide risk, in this analysis, is not an amorphous clinical outcome but a measurable, partly heritable trait whose genetic architecture is now being resolved with the same tools that have transformed our understanding of heart disease, diabetes, and schizophrenia. By demonstrating that shared genetic liability links suicide risk across diagnostic boundaries and by mapping that liability onto specific, pharmacologically tractable biology, the researchers have converted a long-standing clinical puzzle into a concrete research agenda. The path from genetic correlation to effective prevention is long, and no genetic finding will soon replace the human work of crisis intervention, connection, and care. But for a problem that has defied biological explanation for generations, the identification of shared, druggable mechanisms represents a genuine and hard-won advance, one that may shape suicide research for years to come.

A MBLM divulgou seu estudo anual mais recente sobre as marcas que tem as “conexões mais íntimas” com seus clientes — avaliando o grau de apego dos consumidores a empresas específicas.

Embora geralmente bem colocada nesse ranking, neste ano a Apple não ficou em uma posição muito prestigiada: a empresa está agora na sétima colocação da lista (e em segundo lugar no ranking do setor).

Com isso, pela primeira vez, ela foi ultrapassada pela sua rival Samsung (que ocupa a terceira posição geral e a primeira em tecnologia).

Na avaliação da MBLM, a Apple tem um quociente de relacionamento de 55,5, sendo que seu arquétipo mais forte é o “ritual”.

A Apple tem 15% dos usuários na fase de compartilhamento, 7% na de vínculo e 4% na de fusão. Dos consumidores que escrevem sobre a Apple, 25,5% têm algum tipo de intimidade com a marca.

A MBLM faz essa medição examinando as conexões emocionais dos usuários com uma marca, incluindo as características de seu vínculo em categorias como nostalgia, indulgência e identidade. O estudo deste ano abrangeu 425 marcas em 23 setores.

via AppleInsider

Even years after the acute phase of the COVID-19 pandemic faded from daily headlines, one of its most stubborn legacies continues to shadow millions of working adults: post-COVID conditions, the cluster of persistent symptoms now broadly known as long COVID. A new cross-sectional study from Taiwan, published in BMC Psychology, offers a sobering snapshot of what these conditions mean for mental health and the capacity to work, even among people who were highly vaccinated and infected predominantly during the milder Omicron era. The findings challenge a lingering assumption that vaccination and less virulent variants have fully neutralized the long-term occupational and psychological costs of SARS-CoV-2 infection.

The research, led by Jhe-Ping Lin of the Department of Occupational Medicine at Linkou Chang Gung Memorial Hospital in Taoyuan City, together with Chia-Cheng Chang, Chen-Chang Yang, Ting-An Yang and corresponding author Yu-Chung Tsao, set out to answer a question that has become increasingly urgent for occupational health practitioners worldwide: how do employed adults who report persistent post-COVID symptoms differ, in measurable psychological and functional terms, from infected peers who consider themselves fully recovered? Much of the existing long COVID literature emerged from populations infected with earlier viral variants, before widespread vaccination, and focused heavily on physical sequelae. Relatively less is known about the psychological and occupational footprint of post-COVID conditions under contemporary epidemiological conditions, which is precisely the gap the Taiwanese team sought to fill.

The study design was straightforward but methodologically deliberate. Employed adults with prior confirmed SARS-CoV-2 infection were recruited through clinical and occupational-health channels using non-probability sampling, a practical approach for reaching workers with documented infection histories. All participants completed a battery of validated questionnaires assessing four core domains: health-related quality of life, fear of COVID-19, insomnia severity and work ability. The investigators then divided the cohort into two groups based on whether participants reported persistent symptoms consistent with post-COVID conditions, and statistically compared the two groups on every psychological and occupational measure. This symptom-based categorization mirrors the approach increasingly favored internationally, since no single laboratory biomarker can yet reliably define long COVID.

The results were striking in their consistency. Participants reporting post-COVID conditions demonstrated significantly lower quality of life, with a mean difference of 13.9 points on the quality-of-life instrument compared with fully recovered peers. They also scored higher on the Fear of COVID-19 Scale, a validated measure of pandemic-related anxiety, and reported greater insomnia severity, suggesting that disturbed sleep is a common companion of persistent post-viral illness. Perhaps most consequential for employers and policymakers, the post-COVID group showed reduced scores on the Work Ability Index, a well-established instrument that quantifies how well a worker perceives themselves able to meet the physical and mental demands of their job. The mean difference of 3.3 points on this index may sound modest, but in occupational medicine research, shifts of this magnitude on the Work Ability Index are considered clinically meaningful and are associated with elevated risks of reduced productivity, prolonged sickness absence and early exit from the labor force.

To appreciate why these numbers matter, it helps to understand what each instrument measures. Health-related quality-of-life scales capture how illness erodes daily functioning across physical, emotional and social dimensions; a 13.9-point deficit represents a substantial perceived deterioration in wellbeing, not a marginal statistical blip. The Fear of COVID-19 Scale taps illness-related anxiety that can itself become disabling, feeding avoidance behaviors and hypervigilance. Insomnia severity indices quantify difficulties falling asleep, staying asleep and feeling restored by sleep, and chronic insomnia is strongly linked to depression, impaired concentration and workplace accidents. The Work Ability Index synthesizes a worker’s self-assessed physical and mental capacity, diagnosed illnesses and resources relative to job demands, making it one of the most predictive single measures available for future work disability. That all four domains moved in the same negative direction among the post-COVID group paints a coherent picture of a population under compounding psychological and functional strain.

Crucially, these associations emerged within a population that reflects the current reality of the pandemic rather than its early, pre-vaccine chapter. Taiwan maintained exceptionally high vaccination coverage, and the overwhelming majority of infections in the study cohort occurred during the Omicron-dominant period, when the variant itself was generally associated with less severe acute disease. The persistence of measurable psychological and occupational burden under these comparatively favorable conditions suggests that the risk of long-term impairment has been reduced but not eliminated. For the millions of workers globally who have been infected with Omicron-lineage viruses despite vaccination, the Taiwanese data imply that lingering symptoms remain a genuine occupational health concern rather than a relic of earlier pandemic waves.

The authors are careful about what their study can and cannot claim. Because the design is cross-sectional, capturing participants at a single point in time, causal relationships cannot be inferred. It remains possible, for instance, that pre-existing anxiety, poor sleep or low work ability influenced how participants recalled and reported persistent symptoms, rather than the symptoms driving the psychological burden. The non-probability recruitment strategy, while effective for reaching the target population, also limits generalizability; workers who chose to participate in an occupational health study may differ systematically from those who did not. Self-reported symptom status, the standard for long COVID research given the absence of a definitive diagnostic test, introduces additional subjectivity. The researchers openly acknowledge these constraints and call for longitudinal studies to clarify recovery trajectories and functional outcomes over time, which would allow investigators to determine whether reduced work ability precedes, follows or merely co-occurs with post-COVID symptomatology.

Even with those caveats, the study carries practical implications that extend well beyond Taiwan. The authors argue that mental health assessment deserves a central place in post-COVID follow-up care, not as an afterthought but as a routine component of clinical evaluation. This recommendation aligns with a growing body of international evidence linking long COVID to depression, anxiety and sleep disorders, and it reframes post-COVID conditions as a psychosomatic and occupational problem in equal measure with a physical one. For occupational physicians, the message is that a worker presenting with persistent fatigue or brain fog should not only be evaluated for physical sequelae but also screened for insomnia, pandemic-related fear and diminished work capacity. For employers, the findings underscore the value of graded return-to-work programs, workplace accommodations and access to psychological support, since untreated mental health burdens may prolong functional impairment even after physical symptoms begin to subside.

The policy stakes are considerable. Post-COVID conditions affect a substantial fraction of infected individuals worldwide, and because the condition disproportionately impairs the ability to sustain full-time work, its economic ripple effects touch social insurance systems, disability programs and national productivity. Studies conducted in vaccinated, Omicron-era populations are especially valuable for forecasting the forward-looking burden, since they describe the risk profile relevant to new infections rather than historical ones. By demonstrating a 13.9-point quality-of-life deficit and a 3.3-point reduction in work ability under exactly these modern conditions, the Taiwanese study provides quantitative anchors that health economists and policymakers can use to model the ongoing costs of long COVID in the workforce.

The research also highlights the importance of studying long COVID outside the Europe-North America axis, where much of the literature has concentrated. Taiwan’s pandemic trajectory, characterized by early containment followed by a large, late Omicron wave in a highly vaccinated population, offers a distinct natural experiment. The fact that measurable occupational and psychological impairment still emerges in this setting strengthens the argument that post-COVID conditions are a global phenomenon requiring coordinated surveillance, standardized assessment tools and sustained investment in rehabilitation services. The study received no external funding and was approved by the Institutional Review Board of the Chang Gung Medical Foundation, with all participants providing informed consent under protocols compliant with the Declaration of Helsinki.

For now, the study’s central contribution is to quantify, with validated instruments, the invisible toll that persistent post-viral symptoms exact on working adults: poorer perceived health, greater fear, worse sleep and a weakened sense of capacity to meet job demands. As health systems worldwide transition from emergency response to long-term management of COVID-19’s aftermath, evidence of this kind, gathered under the most favorable epidemiological conditions yet seen, serves as a reminder that the pandemic’s occupational and psychological dimensions are far from over. The authors’ call for longitudinal follow-up is the natural next step, and its findings will help determine whether the burdens documented here fade with time or harden into chronic disability for a vulnerable segment of the working population.

The state is considering extending the life of its last nuclear power plant, Diablo Canyon, and allowing construction of new reactors to help meet its clean energy goals.

The state is considering extending the life of its last nuclear power plant, Diablo Canyon, and allowing construction of new reactors to help meet its clean energy goals.

Muse, the popular English rock band that’s been selling out arenas for decades, is no longer @muse on Instagram, where it boasts nearly three million followers.

That’s because on Tuesday, Meta, which owns Instagram, announced a new “personal AI agent” also called Muse — which is now taking the rock band’s original handle, in an act of what appears to be corporate eminent domain for a long-established username.

Indeed, an archived version of the band’s website shows that just last month, it held the @muse handle on Instagram. Now it’s going by @museband, because Mark Zuckerberg apparently couldn’t settle for his new tool being stuck with the handle @museAI. A similar swap happened on X. Meta’s newfangled AI got the @muse handle, while Muse had to settle for even clunkier @musetheband.

The changes were immediately noticed by the band’s fans, who largely didn’t sound impressed by Meta’s naming scheme. One viral Reddit post claimed Muse were “forced” to change its social media handles, fomenting further outrage.

“That’s genuinely the worst,” fumed one bewildered fan.

“Mark Zuckerberg is such a loser,” another said.

Others, in classic music fan fashion, accused the English rockers of being “sellouts,” seemingly under the impression that Muse took a Big Tech payday in exchange for giving up its social media handles.

It’s not clear what happened to facilitate the username swap. Given that this happened on both Instagram and X, it seems possible that Meta came to some sort of agreement with Muse to take its handle, which the band has been sitting on for over a decade now.

Meta didn’t immediately respond to a request for comment about whether the handover was consensual, and whether the band was paid for the handle.

The actual band hasn’t commented on the situation either, adding to the confusion.

Of course, it wouldn’t be unprecedented for a social media site to jack someone’s username without compensation or recourse. When Elon Musk rebranded Twitter into X in 2023, he took the username @X from someone who had been holding onto it since 2007. The only thing the company offered in return was some merch and a chance to visit X’s headquarters.

The recent swap didn’t go as smoothly as Zuckerberg may have hoped. As New York Times tech journalist Mike Isaac noticed, Zuckerberg apparently copied his Muse announcement from his platform Threads, where his AI agent already had the @muse handle, pasted it onto X, and accidentally tagged the rock band. This appeared to be because of a bug on X’s end, and it also caused people trying to tag the new AI to autofill the rock band’s new handle. Gaffes ensued.

“I’ve been using @museband for the last few months and can honestly say it’s the best AI agent I’ve tried,” lauded a senior director at Meta, in a post that’s since been corrected.

More on Meta: Facebook Is Hosting Huge Numbers of Horrifying AI-Generated Videos of Violent Child Abuse, and Meta Is Barely Even Pretending to Care About Taking Them Down

The post Wait, Did Zuckerberg Just Steal Muse the Band’s Instagram Handle For His New AI? appeared first on Futurism.

Nearly every displaced woman in Gaza surveyed in a new study screened positive for severe post-traumatic stress symptoms, a finding researchers describe as an unprecedented psychological toll linked directly to hunger, overcrowded displacement, and the collapse of everyday life under war.

The study, published in the International Journal for Equity in Health, assessed 503 displaced women in the Gaza Strip during the 2023–2025 war using a mixed-methods design that combined a structured quantitative survey with in-depth qualitative interviews. The average participant was 29.4 years old, with a standard deviation of 7.3 years, and the majority were married, unemployed, and living below the deep poverty line. Most had been displaced for nearly a year, and the overwhelming majority were sheltering in tents under conditions of severe overcrowding and acute food shortage.

When researchers measured post-traumatic stress symptoms using the Impact of Event Scale–Revised, a widely used screening instrument that evaluates intrusion, avoidance, and hyperarousal symptoms following traumatic exposure, they found that 98.2 percent of participants scored in the severe range. The mean IES-R score across the sample was 61.5, with a standard deviation of 9.5 — a figure far above the thresholds typically used to flag clinically significant trauma-related distress. The authors are careful to note that because symptoms were assessed with a screening tool rather than a formal diagnostic clinical interview, the results should be interpreted as reflecting an extremely high burden of trauma-related distress within the study sample rather than confirmed clinical diagnoses. Even with that caveat, the near-universality of severe scores stands out even against the backdrop of other conflict-affected populations, where severe symptom prevalence rarely approaches such levels.

Food emerged as one of the strongest statistical correlates of psychological suffering. Severe food insecurity, measured with the Food Insecurity Experience Scale developed by the Food and Agriculture Organization, affected approximately 71 percent of participants. Women experiencing severe food insecurity had significantly higher PTSD symptom severity scores, an association that held at a p-value below 0.001. The researchers also identified a cluster of socioeconomic and living-condition factors associated with worse outcomes: being divorced or widowed, living in an extended-family household, sheltering in a tent or collective shelter during displacement, and reporting that food was simply unavailable were all significantly linked to elevated symptom scores.

These quantitative patterns were given texture and depth by the qualitative arm of the study, in which trained researchers conducted semi-structured, face-to-face interviews in Arabic with 34 of the women. Analysis of the transcripts revealed five overarching themes: poverty and inequity; food as a luxury; wounds you cannot see; on the move, nowhere to belong; and small acts of resilience. Together, the themes trace an arc from material deprivation to psychological injury and, ultimately, to the fragile coping strategies women deployed to keep themselves and their families functioning.

The theme of food as a luxury captured how a basic biological need had been transformed into an object of obsession and grief. Women described rationing scraps, skipping meals so children could eat, and the humiliating experience of standing in lines for aid that never arrived. The researchers note that this chronic preoccupation with food security operated on two fronts — it was simultaneously a source of traumatic stress in its own right and an amplifier of existing war trauma, since hunger stripped away one of the last remaining domains in which mothers could still protect their children.

The “wounds you cannot see” theme speaks directly to the invisible nature of psychological injury in wartime. Women recounted nightmares, intrusive memories of bombings and the deaths of relatives, hypervigilance, emotional numbness, and an inability to feel safe even in moments of quiet. Several described the stigma of admitting psychological suffering, or the sense that mental distress was a luxury they could not afford to acknowledge while survival demanded constant action. The researchers interpret these accounts as illustrating how trauma in this context is not a discrete event but a continuous condition, woven into the fabric of daily life.

Displacement itself — the theme of being “on the move, nowhere to belong” — emerged as a distinct psychological stressor. Women described repeated forced evacuations, the loss of homes that anchored family identity and memory, and the corrosive instability of living in tents that leaked in rain, baked in heat, and offered no privacy for grieving or for motherhood. The loss of place, the authors suggest, compounds the loss of people, producing a grief that has nowhere to settle.

Yet the final theme, small acts of resilience, complicates a narrative of pure victimhood. Women described prayer, mutual aid among neighbors, storytelling with children, and small rituals of domesticity — making tea, arranging a tent, celebrating a birthday with almost nothing — as deliberate acts of psychological resistance. The researchers frame these behaviors as adaptive coping mechanisms that, while insufficient to protect against severe trauma symptoms, sustained a sense of agency and dignity under conditions designed to strip both away.

Methodologically, the study relied on a convenience sample recruited through structured surveys administered via Google Forms, a pragmatic choice given the destruction of infrastructure and the impossibility of random sampling in an active war zone. The authors acknowledge this limitation, along with the screening-based measurement of PTSD and the absence of consistent formal referral pathways for psychological care during data collection, which meant that women who became distressed during interviews could not always be directed to clinical services. Interviews followed strict ethical protocols approved by the Institutional Review Board at An-Najah National University, with verbal informed consent, anonymization, and trained interviewers instructed to pause or terminate any conversation that caused visible distress.

The demographic profile of the sample underscores the socioeconomic dimension of psychological vulnerability. That most participants were unemployed and living below the deep poverty line before and during the war reflects broader patterns in which economic deprivation and mental health outcomes are tightly intertwined in conflict settings. Divorced and widowed women — those without a partner’s social and economic support — fared significantly worse, as did women in extended-family households, possibly reflecting crowded conditions and multiplied caregiving burdens.

The study carries a sobering human footnote. The acknowledgments honor the memory of co-author Ayman S. Abutair, a clinical nutrition researcher at Al-Azhar University-Gaza, who lost his life during the war before the paper’s publication. His death stands as a stark reminder that the researchers documenting these invisible wounds were themselves living within the same catastrophe.

The authors argue that their findings demonstrate an urgent and unmet need for comprehensive humanitarian and psychosocial support tailored to displaced women — support that integrates mental health care with food assistance, shelter improvement, and protection for female-headed households. They emphasize that because caregiving responsibilities fall disproportionately on women during war and displacement, their psychological deterioration radiates outward to children and entire family systems, making women’s mental health a strategic priority for any humanitarian response rather than an afterthought.

What the study ultimately documents is the entanglement of hunger and trauma at a scale rarely captured in research. Where most studies of conflict-related PTSD examine populations after violence has subsided, this research measured psychological injury while bombs were still falling, while displacement was ongoing, and while food systems had collapsed. The result is a portrait of a population in which severe trauma symptoms are not an unfortunate consequence of war but, in effect, a near-universal condition — visible not in wounds, but in sleepless nights, interrupted meals, and the quiet endurance of half a million women carrying burdens that remain, for now, largely untreated.

AICHE Desktop leva ditado por voz com IA ao Linux, funciona em qualquer app e promete transcrição rápida e privada.

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Wildfire scientists have unveiled a new rapid risk-assessment tool that shows substantial wildfire danger to homes and buildings in three major Arctic communities, revealing that between 14% and 26% of structures in Anchorage, Fairbanks, and Whitehorse face high or very high risk from approaching flames. The study, led by Jennifer I. Schmidt of the University of Alaska Anchorage together with Robert H. Ziel, Monika P. Calef, Anna Varvak, and Julio C. Postigo, was published in the International Journal of Disaster Risk Science. Rather than relying on complex fire-behavior simulations that demand specialist analysts and expensive software, the approach combines datasets that most local governments already possess: building footprints, zoning maps, and readily available vegetation layers. The result is an updatable, affordable portrait of which buildings face the greatest threat and where mitigation dollars can do the most good.

The urgency behind the work is hard to overstate. Wildfire costs and damages in the United States alone are now estimated at between USD 394 billion and 893 billion annually, and the 2019 to 2020 Australian fire disasters cost nearly USD 100 billion. The Arctic, often imagined as too cold and wet to burn, is not immune: since 1980, wildfires have cost Alaska between USD 2 billion and 5 billion, with projections suggesting costs could rise 68% by the end of the century. Canadian suppression expenses are expected to climb by 60 to 110% relative to the 1980 to 2009 baseline. Meanwhile, structure loss from wildfire has doubled over the past two decades in the western United States, and western Canada has suffered major structure-loss events in four of the last eight fire seasons. Nearly half the global population now lives within the wildland-urban interface, the zone where people and forests meet or intermingle, making tools that translate fire science into actionable local maps increasingly vital.

The researchers’ central premise is conceptually simple but technically consequential: for a structure to be at high risk, a flammable hazard must exist nearby, within roughly 500 meters, and the surrounding landscape must exhibit high wildfire exposure. The method begins with a flammability hazard layer at 30-meter resolution, built from a modified version of NASA’s ABoVE Landcover dataset in which generic evergreen classes were refined to reflect locally flammable species such as black spruce, white spruce, lodgepole pine, and subalpine fir, each assigned hazard ratings from 0 to 100. Critically, the team treated structures themselves as fuel. Each building contributes three fuel units to the surrounding flammability score, a value chosen after systematic testing of one through ten fuel units; three proved optimal, nudging densely built environments up a hazard category without causing wholesale reclassification. Structure density was computed at 90-meter resolution, multiplied by three, and added to the vegetation-based hazard to produce an enhanced flammability hazard layer.

Wildfire exposure, the second pillar of the assessment, captures the potential for hazard to travel. It is calculated as the average flammability hazard within a 100-meter or 500-meter radius, representing the likelihood that fire can reach and burn a given location even if the local fuels themselves are sparse. Exposure values, also ranging from 0 to 100, are classified into five tiers from very low to extreme, and concentrated pockets of flammable vegetation drive scores upward. The third ingredient is structure vulnerability, produced by multiplying the enhanced flammability hazard by a structure importance factor derived from zoning data: residential buildings and critical infrastructure such as hospitals, schools, and nursing homes receive the highest weight, followed by commercial and other structures. Where zoning was unavailable, as on military installations like Joint Base Elmendorf-Richardson in Anchorage and Fort Wainwright and Eielson Air Force Base in Fairbanks, the team collaborated with base personnel or interpreted aerial imagery to classify neighborhoods. The final risk score synthesizes hazard, exposure, and vulnerability into six categories, from extremely low to very high.

The results paint a nuanced picture of Arctic fire danger. Fairbanks showed the greatest proportion of structures in the top two risk categories at 26%, followed by Whitehorse at 22% and Anchorage at 14%. Anchorage, paradoxically, had the highest share of buildings in the top vulnerability tiers, 42%, yet the lowest risk, a consequence of its large urban footprint where dense housing raises vulnerability but fragmented, less-flammable vegetation and abundant developed ground suppress exposure. Fairbanks and Whitehorse, with structures woven into spruce- and pine-dominated boreal landscapes, showed closer alignment between vulnerability and risk. Anchorage was also the only study area where more than 1% of cells jumped two or more flammability categories when buildings were counted as fuel, at 7%, reflecting its 27% share of structure area containing seven or more buildings per cell. The analysis also confirmed the primacy of exposure: when a structure’s wildfire exposure was extreme, at least 87% of such buildings landed in the highest risk category across all three communities.

A key innovation lies in how the team redrew the wildland-urban interface itself. Traditional WUI maps distinguish urban, interface, and intermix zones; the researchers added a fourth category, the transmission zone, marking areas roughly 2.4 kilometers beyond the WUI boundary where fire could move into a community and where fuel breaks might be sited. Within the 500-meter buffer around structures, urban areas were defined by exposure values of 20 or less, interface zones by 21 to 60, and intermix by values above 60, cross-referenced with Alaska and Yukon wildfire management designations that prioritize suppression from critical down to unplanned or wilderness levels. Fairbanks claimed the largest overall WUI footprint, and the transmission zone proved the largest category in every study area, spanning 23,347 square kilometers around Anchorage, 6,180 square kilometers around Fairbanks, and 665 square kilometers around Whitehorse. Across all sites, most structures fell within interface zones, 52 to 61%, followed by intermix at 20 to 35%. Thousands of buildings sit in the high-risk interface and intermix zones where mitigation should concentrate: 15,537 structures in Anchorage, 16,212 in Fairbanks, and 3,734 in Whitehorse.

The method faced its most demanding test against a real disaster. On 17 August 2019, during southcentral Alaska’s hottest and driest summer on record, the likely human-caused McKinley wildfire was driven by high winds across 13.3 square kilometers in three days, destroying 52 residential structures, 84 outbuildings, and three commercial buildings, affecting 1,028 properties and forcing roughly 350 to 400 people to evacuate. By comparing pre-fire aerial imagery from 2017 with post-fire imagery from 2020 at 0.3-meter resolution and linking vanished buildings to the Matanuska-Susitna Borough structure database, the team identified exactly which structures burned. The verdict was statistically compelling: burned structures had significantly higher wildfire exposure than those that survived, and the proportion of burned structures with exposure values above 60 was significantly larger than among unburned ones. Structure risk scores above 60 were also significantly associated with burning. Notably, the test held even under conditions so extreme that normally resistant, low-flammability fuels were igniting.

The study’s design was shaped by sustained community engagement. Through workshops in 2019, 2021, and 2023, along with 15 to 20 meetings organized by Anchorage community councils and landowner associations and public events ranging from wildfire awareness days to Arbor Day, residents and agency staff reshaped everything from color schemes to model parameters. One consequential example: Anchorage residents and fire managers insisted that the maps reflect the spruce beetle outbreak first detected in 2016 and peaking around 2020, which killed and removed many spruce trees. The team responded with rules derived from aerial detection surveys, reclassifying white spruce cells in areas of beetle intensity of 11% or greater to mixed forest, and shifting mixed forest cells to open shrub, while a succession model updated vegetation on areas burned within the last 30 years. This iterative dialogue ensured outputs that both wildfire practitioners and the general public can interpret, a prerequisite the authors see as central to building fire-adapted communities.

The practical implications for planning are direct. Because mitigation funding is often tied to officially designated WUI areas, the ability to rapidly recalculate boundaries from updated building layers expands funding opportunities and keeps pace with community growth. The framework also points to different interventions in different zones: structures in intermix areas, surrounded by vegetation, benefit most from fuel treatments, while those in interface zones, where flammable vegetation is scarcer, are better served by home hardening measures such as fire-resistant roofs, siding, decks, screens, and unburnable buffers. Given that wildfire activity tends to occur where exposure exceeds 60, the authors recommend concentrating resources on the top two risk categories. Where national products like wildfirerisk.org rely on generalized fuel layers that can overestimate unburnable area in WUI zones and are updated too slowly for annually burning landscapes, this approach trades complexity for transparency, using local data that governments already collect. The underlying wildfire exposure toolbox is publicly available on GitHub, and the team argues that empowered residents, equipped with accurate, current, neighborhood-scale information, are crucial to reducing wildfire risk, particularly where communities may prefer action without government intervention.

Conheça o Thelio Mira AI da System76, workstation Linux com multi-GPU e até 192 GB de memória para IA local.

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