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Comment by Dr. Krishna Kumari Challa 52 minutes ago

UN report finds 1.5°C warming limit likely to be exceeded by 2030

For more than a decade, the world has been trying to limit global warming to 1.5°C.

That's no longer possible, according to a new United Nations report. We will likely pass 1.5°C in 2030. That's not good news for anyone

Global warming is likely to exceed 1.5°C around 2030, increasing risks of extreme events, sea-level rise, ecosystem loss and potentially irreversible climate tipping points. Rapid emission cuts could limit peak warming and enable a later decline through carbon removal, but current policies remain insufficient.

original article.

Comment by Dr. Krishna Kumari Challa 1 hour ago

To promote climate action, emotion may matter more than information

Every year, public authorities and nongovernmental organizations spend millions on communication campaigns designed to encourage people to take action on climate change. But which strategies work best? Should campaigns rely on fear or positive messages, prioritize facts or appeal to emotions, and focus on words or visuals?
Across 71 studies involving 216,000 participants, most climate communication strategies increased pro-climate intentions, behaviours, or policy support. Emotionally engaging storytelling, awe, moral framing, and images outperformed factual information alone. Individual or collective responsibility messages showed little benefit and may provoke reactance.

The strategies reviewed encompassed 15 different approaches, ranging from providing factual information to fill knowledge gaps to appealing to emotions—for example, by evoking a sense of wonder or awe at the beauty of nature. They also included approaches based on the principle of bounded rationality, which are designed to facilitate decision-making by highlighting specific aspects of climate change, such as its health or financial consequences.

Research shows that almost all of these strategies are likely to have a positive effect on people's intentions and behaviours, as well as on their support for climate policies. Only strategies based on individual and collective responsibility—with messages such as 'success depends largely on you'—appear to have little or no effect. They may even foster reactance.
But not all effective strategies are equally effective. "Campaigns that evoke a strong emotional response—particularly through storytelling or by inspiring a sense of wonder at the beauty of nature—are significantly more effective than simply presenting facts and scientific evidence. Messages that draw on moral, ethical or even religious considerations, highlighting our connection to something greater than ourselves that we have a responsibility to preserve, also achieve better results.
The researchers also found that messages are more effective when they include images.

Despite these differences, the fact that almost all of these strategies can have a positive effect is encouraging.
This is particularly encouraging given that the studies reviewed mainly measured the effects of messages to which people were exposed only once. Yet we know that repeated exposure can strengthen their impact. At a time when the scientific evidence is well established and the challenge is to turn knowledge into action, there is considerable scope to improve climate communication.

Mario Herberz et al, A systematic review and meta-analysis of communication strategies to promote climate action, Journal of Environmental Psychology (2026). DOI: 10.1016/j.jenvp.2026.103176

Comment by Dr. Krishna Kumari Challa 1 hour ago

If this intestinal process is the same in humans, it could help explain why diets high in both sugar and fat may be particularly harmful and point to new ways to tackle obesity by targeting fructose metabolism, for example, with drugs that inhibit Ketohexokinase.

"This previously unappreciated link between intestinal fructose catabolism and dietary lipid absorption may explain the synergistically stronger effects of a diet enriched with both fat and fructose."

Miranda L. Lopez et al, Intestinal fructose catabolism promotes obesity and insulin resistance via ileal lacteal remodeling, Science Advances (2026). DOI: 10.1126/sciadv.aec0481

Part 2

Comment by Dr. Krishna Kumari Challa 1 hour ago

Scientists discover how fructose may help drive obesity
High-fructose corn syrup is just one of many food additives linked to obesity. It is typically found in sweetened beverages and processed foods and is added to enhance flavour and sweetness.
But exactly how it it contributes to weight gain and obesity ?
New research
suggests the calories the sweetener contains are not the only drivers of these body changes. It could also be due to how fructose is processed, which may alter the intestine's physical structure and affect fat absorption. Details of the work are published in a paper in Science Advances.

The scientists wanted to study the gut specifically because the small intestine is the first place in the body that processes dietary fructose. They designed a series of controlled experiments in mice to examine a highly active form of a fructose-processing enzyme called Ketohexokinase-C.

For up to 12 weeks, the mice were given drinking water containing a high concentration of high-fructose corn syrup. Meanwhile, a control group of normal mice was given the exact same high-fructose diet, while another set of mice received normal drinking water without added sugar.

Throughout the study, the research team tracked the animals' body weight, fat mass and blood sugar levels. They also measured fat absorption. To do this, they gave the mice a dose of soybean oil and monitored how much fat entered their bloodstream versus how much passed into their waste.

According to the paper, mice lacking intestinal Ketohexokinase-C consumed the same total number of calories as normal mice but put on significantly less weight, stayed leaner and showed better glucose tolerance and lower fasting insulin levels.

Because the modified mice lacked Ketohexokinase-C in their intestinal cells, fructose was not broken down normally in the small intestine. Consequently, it traveled further down the digestive tract, where it altered the gut microbiome.

This, in turn, lowered the number of immune cells in the gut wall, which caused fat-absorbing tubes in the intestine (lacteals) to shrink. Because shorter fat tubes couldn't absorb as much dietary fat into the body, more of it passed straight out in their feces.

To confirm this, the researchers transplanted the altered gut bacteria into normal mice. They too developed shorter fat tubes and stopped absorbing as much fat.
"We found an unexpected role of small intestinal fructose catabolism [the biological breakdown of fructose for energy] in modulating gut microbiome, ileum-specific lacteal growth, dietary fat absorption, and eventually whole-body metabolic fitness," wrote the team in their paper.

Part 1

Comment by Dr. Krishna Kumari Challa 2 hours ago

The new decomposition allowed the researchers to answer the question that had resisted mathematical analysis for years. They showed that the same hidden symmetries also affect the sophisticated models used to study biodiversity and that the misleading conclusions these models sometimes produce are not isolated statistical mistakes. Instead, they stem from a deeper mathematical ambiguity built into the models themselves.
Scientific discoveries often begin with advances in mathematics that later transform biology. This study followed the opposite path. A biological question about how to represent anatomical traits of beetles led to a new mathematical discovery, which in turn solved a long-standing problem in evolutionary biology.

It's a wonderful example of biology and mathematics driving each other forward.

Sergei Tarasov et al, Unidentifiability and false-positive inference in state-dependent diversification models, Nature Communications (2026). DOI: 10.1038/s41467-026-75829-5

Part 2

Comment by Dr. Krishna Kumari Challa 2 hours ago

When biology inspires mathematics: Hidden symmetries explain why widely used evolutionary methods can give false answers
Why do some groups of organisms contain thousands of species while others have only a handful? Evolutionary biologists have spent decades trying to answer this question using mathematical models that estimate how biological traits and environmental factors influence the formation and extinction of species.
These models have become a cornerstone of modern biology and have been used in more than 1,000 scientific studies. Yet the models carry a known weakness: They can sometimes lead scientists to the wrong conclusions. For years, no one fully found out why.
Several years ago, researchers found that many evolutionary models can generate exactly the same observations even when they rest on entirely different assumptions about evolutionary history. This meant that scientists could unknowingly reach different conclusions that were all equally consistent with the same data. Whether the same ambiguity also affected the more sophisticated models used to study how traits shape biodiversity remained unclear because their mathematics was too complex to analyze directly.
Sergei Tarasov at the Finnish Museum of Natural History and Josef Uyeda at Virginia Tech approached the problem from a different angle. Their path to the solution started with a simple but unusual question: Imagine three apples—one red, one light green and one dark green. Should the two green apples be grouped together or treated as different colors? The researchers ran into the same classification puzzle while studying beetle anatomy.

Searching for an answer led them to lumpability, a mathematical concept introduced in the 1960s that defines when different states of a Markov model can be safely grouped together without changing how a system behaves. Building on it, they unexpectedly discovered a new way of representing Markov models, one of the most fundamental classes of stochastic models used across science.

They showed that every discrete-state Markov model can be rewritten as an equivalent hidden-state model, a decomposition they call Hidden Expansion. Although the rewritten model looks larger, it is built from simple, identical mathematical components. This representation exposed previously hidden mathematical symmetries and turned an intractable problem into a solvable one.
This mathematical property had gone unnoticed despite decades of research on Markov models.
Part 1

Comment by Dr. Krishna Kumari Challa 2 hours ago

Scientists observe Einstein's gravity in the quantum world

An international team has observed a long-predicted effect of gravity on a falling quantum object for the first time. The result shows that a fundamental principle at the heart of Einstein's theory of gravity remains consistent with the behaviour of matter in the quantum world.
For more than a century, physicists have relied on two extraordinarily successful descriptions of nature. Quantum mechanics explains the strange behavior of atoms and other tiny objects. Einstein's theory of gravity explains how objects fall and how gravity shapes the universe. Yet physicists still do not fully understand how the two fit together.

Now, an international team has performed an experiment that probes the point where they meet. In the study, the researchers observed a distinctive change in the quantum properties of atoms as they fell under gravity. Crucially, the effect they measured is the same one predicted when Einstein's equivalence principle, a cornerstone of his theory of gravity, is applied to a quantum object.

The equivalence principle states that for an observer in free fall, gravity should locally disappear. Someone falling freely in an elevator, for example, would experience weightlessness. While this theory has survived extraordinarily precise tests involving ordinary matter, it was unclear how it could be experimentally tested with quantum objects, which can behave as waves and effectively travel along more than one path.
Although previous experiments have used quantum particles to measure gravity, the researchers say this is the first direct measurement of the predicted quantum phase of a freely falling object.

Observation of the quantum phase of free fall and the consistency with the equivalence principle, Science Advances (2026). DOI: 10.1126/sciadv.aec8045

Comment by Dr. Krishna Kumari Challa 2 hours ago

Adding AI agents to a system sometimes reduces its performance

Computer scientists worldwide have been developing a wide range of artificial intelligence (AI) systems. Some of these systems rely on an individual AI agent, while others consist of multiple interacting agents that exchange information, cooperate and revise each other's responses or predictions.
Researchers recently carried out a controlled experiment exploring the potential advantages and limitations of multi-agent AI systems.

Their findings, published in Nature Machine Intelligence, suggest that adding more AI agents to a system is not always beneficial, as a single capable agent can perform better on some tasks than multi-agent systems.
Overall, the results of this study suggest that adding more agents to an AI system is not always beneficial. Instead, performance appears to depend on how well a system's architecture suits the specific task.

Yubin Kim et al, Capable language models can outgrow the benefits of collaboration, Nature Machine Intelligence (2026). DOI: 10.1038/s42256-026-01268-y.

Comment by Dr. Krishna Kumari Challa 3 hours ago

More than 120 molecular species found in giant cloud near Milky Way's center

Astronomers have discovered a second interstellar cloud near the center of the Milky Way that is extraordinarily rich in complex molecules, including several molecules associated with prebiotic chemistry. The newly studied cloud, G+0.633-0.0604, or G+0.633, contains more than 120 identified molecular species and is the first confirmed chemical twin of another famous molecule-rich cloud. Their paper, posted to the arXiv preprint server on Aug. 14, outlines the chemistry of the newfound cloud.
Finding molecules in space isn't new. So far, astronomers have found almost 350 different molecules in interstellar space. Most recent progress has been concentrated around a small handful of unusually chemically rich locations—the most famous being a molecular cloud called G+0.693-0.027, or G+0.693 for short, near the crowded, extreme region surrounding the Milky Way's central black hole.

This cloud contains roughly 40% of all molecules ever detected in interstellar space, including many linked to the chemical building blocks of life. Interestingly, it is not actively forming stars. Instead, its chemical richness comes from a combination of physical and chemical properties. The cloud is warm enough to sustain plenty of chemical activity, but the molecules emit significantly cleaner, easier-to-read "cool" signals.

The cloud is also thought to have been stirred up by low-velocity shock waves, likely from colliding gas clouds. The shock waves might violently blast icy coatings off dust grains, releasing a wide variety of molecules that had been frozen inside the ice. This leaves more of these molecules in the gas phase, boosting detectability. 

D. San Andrés et al, The Galactic Centre G+0.633-0.0604 Molecular Cloud: A New Gold Mine for Astrochemistry, arXiv (2026). DOI: 10.48550/arxiv.2608.14381

Comment by Dr. Krishna Kumari Challa yesterday

Research identifies lasting brain changes associated with adolescent binge alcohol exposure
In male rats, intermittent ethanol exposure during adolescence caused persistent disruption of astrocyte–synapse coupling in the dorsal hippocampus and heightened fear-related behaviour in adulthood after abstinence. Enhancing astrocyte calcium signalling partially restored gliotransmitter availability and reduced behavioural effects, indicating astrocyte dysfunction as a potential therapeutic target.

O. Coulter et al, Adolescent alcohol exposure disrupts astrocyte-synaptic structural and functional coupling in the male dorsal hippocampus, Molecular Psychiatry (2026). DOI: 10.1038/s41380-026-03817-8

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