MIT engineers designed a pill that can report when it has been swallowed, an advance that could aid in medication adherence.

Inspired by biological systems, materials scientists have long sought to harness self-assembly to build nanomaterials. The challenge: the process seemed random and notoriously difficult to predict. Now, researchers from the Institute of Science and Technology Austria (ISTA) and Brandeis University have uncovered geometric rules that act as a master control panel for self-assembling particles. The results, which could find applications ranging from protein design to synthetic nanomachines, were published in Nature Physics.

Researchers identified Drought Tolerance 5 (OsDT5), a bHLH transcription factor that functions as a negative regulator of drought tolerance throughout the rice growth cycle. They demonstrate that Osmotic Stress/ABA-Activated Protein Kinase 9 (SAPK9)-mediated phosphorylation at Ser27/Ser136 residues modulates OsDT5 activity through accelerating its proteasomal degradation, disrupting its interaction with OsbZIP66, and reducing its binding affinity for OsLEAs promoters.

 Research team releases the first panoramic LoRA survey, mapping five research fronts—task adaptation, plug-in generalization, speed-ups, federated privacy and real-world deployment—and charting GaaS, continued pre-training and agent roles as next horizons.

Researchers have created a heavy-atom-free, twisted D–A–A–D molecule that self-assembles into crystalline nanofibers. These fibers show high light absorption and 72% singlet oxygen yield, enabling rapid visible-light-driven photooxidation. They are easily recovered by sedimentation and remain stable over multiple cycles, offering a new design for efficient, reusable solid-state photosensitizers.

Researchers deliver the first comprehensive survey and open NNLCB benchmark of neural universal lossless compressors, taxonomizing 17 state-of-the-art static/adaptive/semi-adaptive algorithms tested across 8.5 GB of multi-source data on CPUs/GPUs.

EduStudio unifies Cognitive Diagnosis and Knowledge Tracing in a modular PyTorch library, cutting new-model code to templated inheritance and offering live leaderboards at edustudio.ai.