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Summary: New research indicates a strong link between high social media use and psychiatric disorders involving delusions, such as narcissism and body dysmorphia. Conditions like narcissistic personality disorder, anorexia, and body dysmorphic disorder thrive on social platforms, allowing users to build and maintain distorted self-perceptions without real-world checks.

The study highlights how virtual environments enable users to escape social scrutiny, intensifying delusional self-images and potentially exacerbating existing mental health issues. Researchers emphasize that social media isn’t inherently harmful, but immersive virtual environments coupled with real-life isolation can significantly amplify unhealthy mental states.

Summary: A new study reveals that poor sleep in older adults disrupts the brain’s glymphatic system, responsible for clearing harmful waste and toxins. Researchers found that compromised sleep quality leads to dysfunction in this crucial system, potentially increasing risks for memory decline and cognitive impairments.

Using advanced brain imaging in 72 older adults, the research highlighted that poor sleep negatively impacts connections within brain networks linked to memory performance. These insights emphasize the importance of maintaining good sleep hygiene to support brain health and healthy aging.

US tech giant OpenAI on Monday unveiled a ChatGPT tool called “deep research” that can produce detailed reports, as China’s DeepSeek chatbot heats up competition in the artificial intelligence field.

The company made the announcement in Tokyo, where OpenAI chief Sam Altman also trumpeted a new joint venture with tech investor SoftBank Group to offer advanced artificial intelligence services to businesses.

AI newcomer DeepSeek has sent Silicon Valley into a frenzy, with some calling its high performance and supposed low cost a wake-up call for US developers.

— Kreiner, et al.

In this article, the authors review the current understanding of obesity-related kidney disease and focus on the intertwined cardiometabolic abnormalities, which, in addition to obesity and diabetes, include risk factors such as hypertension, dyslipidemia, and systemic inflammation.

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Obesity is a serious chronic disease and an independent risk factor for the new onset and progression of chronic kidney disease (CKD). CKD prevalence is expected to increase, at least partly due to the continuous rise in the prevalence of obesity. The concept of obesity-related kidney disease (OKD) has been introduced to describe the still incompletely understood interplay between obesity, CKD, and other cardiometabolic conditions, including risk factors for OKD and cardiovascular disease, such as diabetes and hypertension. Current therapeutics target obesity and CKD individually. Non-pharmacological interventions play a major part, but the efficacy and clinical applicability of lifestyle changes and metabolic surgery remain debatable, because the strategies do not benefit everyone, and it remains questionable whether lifestyle changes can be sustained in the long term.

When we observe distant celestial objects, there is a possible catch: Is that star I am observing really as reddish as it appears? Or does the star merely look reddish, since its light has had to travel through a cloud of cosmic dust to reach our telescope?

For accurate observations, astronomers need to know the amount of dust between them and their distant targets. Not only does dust make objects appear reddish (“reddening”), it also makes them appear fainter than they really are (“extinction”). It’s like we are looking out into space through a dirty window. Now, two astronomers have published a 3D map that documents the properties of dust all around us in unprecedented detail, helping us make sense of what we observe.

The research is published in the journal Science.

University of Illinois at Urbana-Champaign researchers have developed a CRISPR-based diagnostic tool capable of detecting bloodstream infections in minutes without the need for nucleic acid amplification. The CRISPR-Cascade assay achieves attomolar sensitivity and incorporates an OR-gated logic function to identify multiple pathogens simultaneously through DNA from pathogens associated with bloodstream infections.

Bloodstream infections require rapid identification to prevent complications, yet standard diagnostic methods rely on (PCR) and isothermal amplification techniques that have built-in processing times. CRISPR-based detection tools such as SHERLOCK and DETECTR have improved specificity but continue to depend on amplification, limiting their turnaround time and practicality in clinical settings.

In the study, “Amplification-free, OR-gated CRISPR-Cascade reaction for pathogen detection in blood samples,” published in the Proceedings of the National Academy of Sciences, researchers conducted a laboratory-based investigation to determine whether a CRISPR-driven feedback loop could detect pathogenic DNA at ultra-low concentrations without amplification.

UCLA doctoral student Yilin Wong noticed that some tiny dots had appeared on one of her samples, which had been accidentally left out overnight. The layered sample consisted of a germanium wafer topped with evaporated metal films in contact with a drop of water. On a whim, she looked at the dots under a microscope and couldn’t believe her eyes. Beautiful spiral patterns had been etched into the germanium surface by a chemical reaction.

Wong’s curiosity led her on a journey to discover what no one had seen before: Hundreds of near-identical spiral patterns can spontaneously form on a centimeter square germanium chip. Moreover, small changes in experiment parameters, such as the thickness of the metal film, generated different patterns, including Archimedean spirals, logarithmic spirals, lotus flower shapes, radially symmetric patterns and more.

The discovery, published in Physical Review Materials, occurred fortuitously when Wong made a small mistake while attempting to bind DNA to the metal film.

Researchers have advanced a decades-old challenge in the field of organic semiconductors, opening new possibilities for the future of electronics. The researchers, led by the University of Cambridge and the Eindhoven University of Technology, have created an organic semiconductor that forces electrons to move in a spiral pattern, which could improve the efficiency of OLED displays in television and smartphone screens, or power next-generation computing technologies such as spintronics and quantum computing.

The semiconductor they developed emits circularly polarized light—meaning the light carries information about the ‘handedness’ of electrons. The internal structure of most inorganic semiconductors, like silicon, is symmetrical, meaning electrons move through them without any preferred direction.

However, in nature, molecules often have a chiral (left-or right-handed) structure: like human hands, are mirror images of one another. Chirality plays an important role in like DNA formation, but it is a difficult phenomenon to harness and control in electronics.

Physics has a problem—their key models of quantum theory and the theory of relativity do not fit together. Now, Dr. Wolfgang Wieland from Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is developing an approach that reconciles the two theories in a problematic area. A recently published paper that was published in Classical and Quantum Gravity gives hope that this could work.

There are four in the universe: gravity, electromagnetism, the weak and the strong interaction. While general relativity describes gravity, deals with the other three forces. This creates a problem: “As early as the 1930s, it was recognized that the two theories do not fit together,” explains Dr. Wieland, who leads a Heisenberg project on this topic at the Chair of Quantum Gravity at FAU.

Usually, this has no major consequences: general relativity is mainly used to calculate the behavior of large masses in the universe. Quantum theory, on the other hand, focuses on the world of the very smallest things. However, to better understand key phenomena such as the Big Bang or , a model is needed that unites both concepts—quantum gravity. General relativity states that all matter in a black hole is united at one tiny point. It is therefore important to understand how gigantic gravitational forces act in the microcosm, although this is where the laws of quantum mechanics actually apply.