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        1. position: EnglishChannel  > News> WEEKLY REVIEW (June 29-July 4)

          WEEKLY REVIEW (June 29-July 4)

          Source: Science and Technology Daily | 2025-07-11 13:57:24 | Author: Staff Reporters

          Genetic Switch to Reactivate Organ Regeneration Discovered

          A group of Chinese scientists have discovered a genetic switch called ALDH1A2 that can reactivate nonregenerative mammals' ability to regenerate damaged organs. The activation of ALDH1A2 or supplying retinoic acid externally using a gene enhancer from rabbits can restore the regenerative capacity in nonregenerative mammals like mice. The discovery was recently published in Science.

          New Material Greatly Lifts Perovskite Solar Cell Efficiency

          Researchers from the Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, have developed a new type of diradical self-assembled molecules with high photothermal and electrochemical stability, significantly improving the photovoltaic conversion efficiency, operational stability and large-area processing uniformity of perovskite solar cells.

          1st Domestic 100-Billion-Parameter Large Model for Power Generation

          China Energy Investment Corporation launched the country's first 100-billion parameter large model in the power generation industry on June 28. The model has been successfully applied in safety and environmental protection, power trading, production and transfer center, equipment maintenance and other business areas.

          Neuralink Releases Latest BCI Achievements, Future Plans

          Elon Musk's brain-computer interface (BCI) company Neuralink released a video on its latest achievements, with the roadmap for its development until 2028. Seven people received N1 chip implants, and they used relevant equipment 50 hours per week on average. By 2028, 25,000 channels are expected per implant.

          DeepMind's New Model Helps Decode Genome Function

          Google DeepMind recently unveiled a new AI model called AlphaGenome, which can predict how single variants or mutations in human DNA sequences influence gene-regulating biological processes. It can take inputs of up to one million DNA base-pairs and make thousands of predictions about molecular properties.

          Editor:LU Zijian

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