Coyote populations surge, rebound quickly
Peer-Reviewed Publication
Updates every hour. Last Updated: 8-Oct-2025 06:11 ET (8-Oct-2025 10:11 GMT/UTC)
Trying to curb coyote populations may be a lost cause, according to a new University of Georgia study.
A team of scientists from TTUHSC’s Jerry H. Hodge School of Pharmacy and Graduate School of Biomedical Sciences has published new evidence suggesting that the blood-brain barrier (BBB) remains largely intact in a commonly used mouse model of Alzheimer’s disease. The discovery challenges long-standing assumptions that Alzheimer’s disease causes the BBB to “leak,” potentially reshaping how researchers think about drug delivery for the disease. Fluids and Barriers of the CNS published the study July 23.
A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving generative AI models. The method reinterpreted Schrödinger bridge models as variational autoencoders with infinitely many latent variables, reducing computational costs and preventing overfitting. By appropriately interrupting the training of the encoder, this approach enabled development of more efficient generative AI, with broad applicability beyond standard diffusion models.
A new class of highly efficient and scalable quantum low-density parity-check error correction codes, capable of performance approaching the theoretical hashing bound, has been developed by scientists at Institute of Science Tokyo, Japan. These novel error-correction codes can handle quantum codes with hundreds of thousands of qubits, potentially enabling large-scale fault-tolerant quantum computing, with applications in diverse fields, including quantum chemistry and optimization problems.
A research team led by Prof. Guo-Yong Xiang and Prof. Wei Yi from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences, has reported the experimental observation of chiral switching between collective steady states in a dissipative Rydberg gas. This phenomenon, underpinned by a unique "Liouvillian exceptional structure" inherent to non-Hermitian physics, allows the state of the system to be controlled by the direction in which it is tuned through the parameter space, much like a revolving door that only allows exit in one direction. The results were published in Science Bulletin.
The precise design of functional molecules is of great significance for regulating the microenvironment in the nanospace. Now, writing in the journal National Science Review, the researchers from Northwest University in China have reported a coordination cage for confined nanospaces with flexible aliphatic "grippers". These implanted flexible "grippers" offer an adaptive capture process involving numerous substrates and can achieve better stability through the weak interaction they provide.