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People diagnosed with various mental health disorders can sometimes start engaging in intense political behavior, such as violent protests, civil disobedience and the aggressive expression of political views. So far, however, the link between political behavior and the brain has been rarely explored, as it was not viewed as central to the understanding of mental health disorders.

Researchers at Harvard Medical School, Stanford University School of Medicine and Northwestern University Feinberg School of Medicine recently carried out a study investigating the neural underpinnings of political behavior. Their findings, published in Brain, unveil the existence of a brain circuit that is associated with the intensity of people’s political involvement, irrespective of their ideology or party affiliation.

“This paper started out as a collaborative effort that focused on learning how to help people better come together and thrive, alongside Stephanie Balters at Stanford,” Shan H. Siddiqi, first author of the paper, told Phys.org.

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Purpose Adult patients with diffuse lower-grade gliomas (dLGG) show heterogeneous survival outcomes, complicating postoperative treatment planning. Treating all patients early increases the risk of long-term side effects, while delayed treatment may lead to impaired survival. Refinement of prognostic models could optimize timing of treatment. Conventional radiological features are prognostic in dLGG, but MRI could carry more prognostic information. This study aimed to investigate MRI-based radiomics survival models and compare them with clinical models. Methods Two clinical survival models were created: a preoperative model (tumor volume) and a full clinical model (tumor volume, extent of resection, tumor subtype). Radiomics features were extracted from preoperative MRI. The dataset was divided into training set and unseen test set (70:30). Model performance was evaluated on test set with Uno’s concordance index (c-index). Risk groups were created by the best performing model’s predictions. Results 207 patients with mutated IDH (mIDH) dLGG were included. The preoperative clinical, full clinical and radiomics models showed c-indexes of 0.70, 0.71 and 0.75 respectively on test set for overall survival. The radiomics model included four features of tumor diameter and tumor heterogeneity. The combined full clinical and radiomics model showed best performance with c-index = 0.79. The survival difference between high- and low-risk patients according to the combined model was both statistically significant and clinically relevant. Conclusion Radiomics can capture quantitative prognostic information in patients with dLGG. Combined models show promise of synergetic effects and should be studied further in astrocytoma and oligodendroglioma patients separately for optimal modelling of individual risks.

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Request PDF | Degradable thermosets via orthogonal polymerizations of a single monomer | Crosslinked thermosets are highly durable materials, but overcoming their petrochemical origins and inability to be recycled poses a grand… | Find, read and cite all the research you need on ResearchGate

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Kawasaki Unveils Japan’s Future of Transport | #breakingnews #Robotics.

🚨 Japan’s Kawasaki has unveiled a groundbreaking concept robot called CORLEO that could revolutionize future transport.

🔹 Designed to resemble a lion for navigating rough and mountainous terrains.
🔹 Powered by a hydrogen engine—eco-friendly innovation.
🔹 Controlled by shifting body weight, similar to horseback riding.
🔹 A bold step into the future of personal robotic transport.

📢 Keywords:
Kawasaki CORLEO robot, Japan transport robot, hydrogen-powered robot, robotic lion vehicle, futuristic mobility, mountain transport robot, robotics innovation Japan.

📢 Hashtags:
#ThriveNews #Japan #Robotics #Kawasaki #CORLEO #FutureTransport #Innovation #TechNews #HydrogenPower

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Liver regeneration after hepatectomy follows accurate coordination with the body’s specific requirements1–3. However, the molecular mechanisms, factors and particular hepatocyte population influencing its efficiency remain unclear. Here we report on a unique regeneration mechanism involving unconventional RPB5 prefoldin interactor 1 (URI1), which exclusively colocalizes with, binds to and activates glutamine synthase (GS) in pericentral hepatocytes. Genetic GS or URI1 depletion in mouse pericentral hepatocytes increases circulating glutamate levels, accelerating liver regeneration after two-third hepatectomy. Conversely, mouse hepatocytic URI1 overexpression hinders liver restoration, which can be reversed by elevating glutamate through supplementation or genetic GS depletion. Glutamate metabolically reprograms bone-marrow-derived macrophages, stabilizing HIF1α, which transcriptionally activates WNT3 to promote YAP1-dependent hepatocyte proliferation, boosting liver regeneration. GS regulation by URI1 is a mechanism that maintains optimal glutamate levels, probably to spatiotemporally fine-tune liver growth in accordance with the body’s homeostasis and nutrient supply. Accordingly, in acute and chronic injury models, including in cirrhotic mice with low glutamate levels and in early mortality after liver resection, as well as in mice undergoing 90% hepatectomy, glutamate addition enhances hepatocyte proliferation and survival. Furthermore, URI1 and GS expression co-localize in human hepatocytes and correlate with WNT3 in immune cells across liver disease stages. Glutamate supplementation may therefore support liver regeneration, benefiting patients awaiting transplants or recovering from hepatectomy.

© 2025. The Author(s), under exclusive licence to Springer Nature Limited.

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Norte and his colleagues initially considered patterning the light sails with an array of identical circular holes, but such a pattern would reduce the overall effect of the powering laser. As the sail speeds up and moves away from the laser, the wavelength it preferentially reflects will shift because of the Doppler effect, and the sail will subsequently receive less of a push. What is needed instead is a pattern that can handle Doppler-shift changes while remaining highly reflective.

To find the optimal pattern, the researchers turned to a neural network, which predicted an optimal shape that is oblong rather than circular. “It looks like a potato,” says Miguel Bessa of Brown University, Rhode Island, who led the theory side of the project. Specifically, the team arranged several potato shapes in a repeating five-neighbor pattern, or pentagonal lattice. The potato-shaped arrangement allows the system to respond to a broader range of wavelengths without having to make it thicker and thus heavier.

The researchers are now working on increasing the size of their sail and looking into ways to test how well it flies. Norte notes that the light sail is just a means to accelerate the nanospacecraft, which will include a microchip, cameras, and other instruments. All those parts need to be miniaturized so that they weigh less than one gram total. “We are really trying to use nanotechnology to go faster and further than we have been able to with traditional spacecraft,” Norte says.

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Top quarks and antiquarks have been detected in heavy-ion collisions at the Large Hadron Collider, showing that all six quark flavors were present in the Universe’s first moments.

Quarks, the fundamental building blocks of matter, are usually confined within hadrons, such as protons and neutrons, by the strong force. But in the first moments after the big bang, quarks and gluons moved freely in an extremely hot, dense state of matter called a quark–gluon plasma (QGP) [1]. This “primordial soup” was the Universe’s first form of matter, existing for roughly 10 microseconds after the big bang, until the Universe cooled sufficiently for quarks and gluons to combine [2]. Scientists recreate and study these early-Universe conditions by smashing together ultrarelativistic heavy nuclei at the Relativistic Heavy Ion Collider (RHIC) at Brookhaven National Laboratory in New York, the Large Hadron Collider (LHC) at CERN in Switzerland, and similar facilities.

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