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All-optical modulation with single photons using an electron avalanche

For a long time, this has been a major hurdle in optics. Light is an incredible tool for fast, efficient communication and futuristic quantum computers, but it’s notoriously hard to control at such delicate, “single-photon” levels.


Electron avalanche multiplication can enable an all-optical modulator controlled by single photons.

Taming the chaos gently: a predictive alignment learning rule in recurrent neural networks

The study presents Predictive Alignment, a local learning rule for recurrent neural networks that aligns internal network predictions with feedback. This biologically inspired method tames chaos and enables robust learning of complex patterns.

Characterizing Fibroblast Heterogeneity in Diabetic Wounds Through Single-Cell RNA-Sequencing

DDX3X acts as a selective dual switch regulator of mRNA translation in acute ER stress.


Shawky et al. show that DDX3X selectively promotes or represses mRNA translation in a stress-dependent manner. This bidirectional regulation involves position-specific binding to the mRNA 5′ UTR and early coding region, reflecting distinct mechanisms, including initiation control during 48S scanning and translational repression associated with ac4C post-transcriptional modification.

Early Alpha-Fetoprotein Response Predicts Sustained Tumor Response Following Immune Checkpoint Inhibitors Combined with Targeted Therapy in Liver Cancer

Background: Although immune checkpoint inhibitors (ICI) have revolutionized liver cancer treatment, some patients experience early tumor progression after therapy, missing the window for other potential treatments, such as neoadjuvant therapy. Therefore, identifying the predictive factors for early progression is critical for timely therapeutic adjustment and the optimization of patient outcomes. Methods: This retrospective study enrolled patients with liver cancer who received their first ICI combined with targeted therapy at the Fifth Medical Center of the PLA General Hospital between June 2022 and December 2023. Early tumor progression was defined as tumor progression within 6 months of therapy initiation.

Reversing treatment resistance in prostate cancer

Scientists at the Herbert Irving Comprehensive Cancer Center (HICCC) have discovered a key mechanism that makes prostate cancer cells resistant to the latest drugs used to treat them. Their findings, reported in the current issue of Nature, solve a longstanding puzzle in tumor biology and present preclinical data on a drug compound that could soon enter the clinic.

The work grew out of decades of prostate cancer research by Michael Shen, Ph.D., co-leader of the Tumor Biology and Microenvironment research program at the HICCC. Shen’s research focuses on lineage plasticity, the ability of cancer cells to reprogram themselves to impersonate other types of cells.

Plasticity is a hallmark of cancer in general and a very important feature of advanced prostate cancer, particularly when it comes to the emergence of treatment resistance,” says Shen. Treatment with androgen receptor inhibitors, which have become the standard of care in recent years, often stimulate prostate tumor cells to adopt neuroendocrine characteristics, rendering them resistant to the drugs.

A new five-year survey of the Magellanic Clouds will answer some questions about our neighbors

The Large and Small Magellanic Clouds are irregular dwarf galaxies and satellites of the Milky Way. The LMC is about 163,000 light-years away and the SMC is about 206,000 light-years away, and their close proximity makes them excellent laboratories for the study of galaxies in general. The Clouds are the focus of a new research group being formed at the Leibniz Institute for Astrophysics Potsdam (AIP).

Both clouds are home to numerous objects and regions that capture astronomers’ attention. The LMC hosts the Tarantula Nebula, an extremely active star-forming region that contains some of the largest stars known. The SMC hosts NGC 346, an open star cluster that contains numerous massive stars and is still forming many high-mass stars. The Clouds also contain variable stars that act as standard candles in the cosmic distance ladder. That’s just a sample from a long list of the clouds’ interesting features.

It can be easier to study things like star formation in galaxies other than the Milky Way, because we’re inside the Milky Way and can’t see all of it. The Large and Small Magellanic Clouds are excellent natural laboratories to study how galaxies evolve because astronomers can see them from a good vantage point.

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