Using CHARLS data from 2011 to 2020, researchers found that sleep duration and self-reported sleep quality were associated with Parkinson’s disease risk in middle-aged and older Chinese adults. Short sleep was linked to higher PD risk, while age-specific patterns suggested a linear association in adults aged ≤60 years and a U-shaped relationship in those aged 60 years.
Researchers are beginning to realize that even vastly different psychiatric disorders can share startlingly similar genetic roots.
In February last year, scientists revealed their discovery that eight different psychiatric conditions all shared a common genetic basis.
Another team then published a follow-up study in Nature in December – the largest of its kind to date.
Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort: a direct no-think mode by default, plus low and high chain-of-thought modes for complex math, coding, and multi-step problems. With a 256K context window, Hy3 targets long-horizon tasks, including improved coreference resolution, multi-turn constraint tracking, and stable tool-calling that generalizes across agent scaffoldings.
Tencent positions it as a reliable, cost-effective option across coding, document processing, financial analysis, game development, and frontend design, with a strong emphasis on grounded, anti-hallucination behavior that answers when grounded and flags when evidence is missing rather than fabricating.
In the aftermath of a devastating earthquake, unpiloted aerial vehicles (UAVs) could fly through a collapsed building to map the scene, giving rescuers information they need to quickly reach survivors.
But this remains an extremely challenging problem for an autonomous robot, which would need to swiftly adjust its trajectory to avoid sudden obstacles while staying on course.
Researchers from MIT and the University of Pennsylvania developed a new trajectory-planning system that tackles both challenges at once. Their technique enables a UAV to react to obstacles in milliseconds while staying on a smooth flight path that minimizes travel time.
Autophagy is the process by which cells remove damaged proteins, recycle worn-out organelles (e.g., mitochondria), clear cellular waste and provide nutrients during stress. Autophagy is essential for muscles because they are constantly under mechanical stress. If autophagy is too low, damaged proteins accumulate and muscle gradually weakens. If it is too high, muscle tissue can begin breaking itself down.
Disruption of autophagy has been implicated in a wide range of muscle disorders, and abnormal muscle autophagy is frequently observed in neurogenic diseases. However, the neuronal signaling pathways that control this process had previously remained largely unknown.
Now, researchers led by Prof. Zhang Hong from the Institute of Biophysics of the Chinese Academy of Sciences have identified two parallel neuronal circuits that regulate the autophagy-lysosome pathway in the body wall muscle of Caenorhabditis elegans, a tiny nematode worm. Their research has uncovered a previously unknown mechanism by which the worm’s nervous system maintains muscle homeostasis.
Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting emerging viral threats. But global surveillance systems remain costly, unevenly distributed and often are too slow to identify dangerous variants before they spread internationally, amplifying future disease outbreak threats.
A recently published research paper in Nature Communications, co-authored by Dr. Patricia Ning, assistant statistics professor, and Jifan Li, a doctoral candidate in the Department of Statistics, along with collaborators from multiple international institutions, introduces a new framework to address these issues while using fewer resources, making genomic surveillance rapid and cost-effective in preparation for new strains of COVID-19.
Ning’s algorithm works to strengthen local, community-based surveillance capacity in all regions in anticipation of future pandemics.
A novel vaccination strategy against certain malignant brain tumors could fundamentally improve treatment for patients. Researchers from the German Cancer Research Center (DKFZ), Mannheim University Medical Center, Heidelberg University Hospital and numerous partner institutions have published encouraging long-term results from a clinical trial involving a vaccine that activates the immune system against a common genetic mutation in these tumors.
Gliomas are usually incurable brain tumors that are difficult to remove completely through surgery. Chemotherapy and radiation therapy are also effective only to a limited extent. These tumors often share a key characteristic: In most cases, the cancer cells carry a common genetic mutation. An identical genetic error causes a specific amino acid to be substituted in the IDH1 enzyme. This results in a novel protein structure—a so-called neoepitope. What makes this special is that the neoepitope drives tumor growth and, at the same time, is recognized as foreign by the patient’s immune system, making it an ideal target for immunotherapies.
The research team from Heidelberg/Mannheim and Tübingen developed a peptide vaccine that specifically trains the immune system to recognize and fight tumor cells with this mutation. The vaccine was tested for safety and efficacy in a phase 1 clinical trial (NOA 16) involving 33 patients with newly diagnosed high-grade astrocytomas, the most common form of glioma. The patients received the vaccine in addition to standard therapy consisting of surgery, radiation therapy and chemotherapy. The work is published in the journal Nature Cancer.
