Twenty-seven biotechnology governance entreaties echoing the legacy of the 1975 recombinant DNA guidelines are now available for public review.

In recent years, the large-scale grid connection of various distributed power sources has made the planning and operation of distribution grids increasingly complex. Consequently, a large number of active distribution network reconfiguration techniques have emerged to reduce system losses, improve system safety, and enhance power quality via switching switches to change the system topology while ensuring the radial structure of the network. While scholars have previously reviewed these methods, they all have obvious shortcomings, such as a lack of systematic integration of methods, vague classification, lack of constructive suggestions for future study, etc. Therefore, this paper attempts to provide a comprehensive and profound review of 52 methods and applications of active distribution network reconfiguration through systematic method classification and enumeration. Specifically, these methods are classified into five categories, i.e., traditional methods, mathematical methods, meta-heuristic algorithms, machine learning methods, and hybrid methods. A thorough comparison of the various methods is also scored in terms of their practicality, complexity, number of switching actions, performance improvement, advantages, and disadvantages. Finally, four summaries and four future research prospects are presented. In summary, this paper aims to provide an up-to-date and well-rounded manual for subsequent researchers and scholars engaged in related fields.

Satellite data used by archaeologists to find traces of ancient ruins hidden under dense forest canopies can also be used to improve the speed and accuracy to measure how much carbon is retained and released in forests. Understanding this carbon cycle is key to climate change research.

At VivaTech in Paris, research center coordinators showcase the advances made at the University of São Paulo in agriculture, climate, energy, computing, artificial intelligence, and health.

A collaborative team led by Ravi Radhakrishnan of the School of Engineering and Applied Science and Jake Brenner and Jacob Myerson of the Perelman School of Medicine at the University of Pennsylvania has unraveled the mathematics of a 500-million-year-old protein network that acts like the body’s bouncer, “deciding” which foreign materials get degraded by immune cells and which are allowed entry. “This discovery enables us to design therapeutics the way you’d design a car or a spaceship—using the principles of physics to guide how the immune system will respond—rather than relying on trial and error,” says Brenner.