The World Health Organization (WHO) has set the goal of eliminating hepatitis as a threat to public health by 2030. Blocking mother-to-child transmission (MTCT) of hepatitis B virus (HBV) is not only the key to eliminating viral hepatitis, but also a hot issue in the field of hepatitis B prevention and treatment. To standardize the clinical management of preventing MTCT of HBV and achieve zero HBV infection among infants, the Chinese Foundation for Hepatitis Prevention and Control organized experts to compile a management algorithm for prevention of MTCT of HBV based on the latest research progress and guidelines, including 10 steps of pregnancy management and postpartum follow-up, among which screening, antiviral treatment, and infant immunization are its core components.

Aerospace engineering senior Philip Wilson attended an American Institute of Aeronautics and Astronautics (AIAA) conference. Rohit Raut, a senior physics major, presented his work at a nuclear research symposium, and senior biology major Jaden Rankin had the opportunity to feature her research at an entomology conference. These and other University of Texas at Arlington students were able to showcase their original research at major symposiums thanks to UTA’s expansion of its popular undergraduate research program that provides funding for select students to present at academic conferences.

A low-energy challenger to the quantum computer that also works at room temperature may be the result of research at the University of Gothenburg. The researchers have shown that information can be transmitted using magnetic wave motion in complex networks.

A recent study shows that computer algorithms can be used to find molecules that can be developed into anti-inflammatory drugs. In the article, the researchers also describe how the same strategy can be used to search through 10 sextillion alternatives to identify the best drug candidate.

From integrated photonics to quantum information science, the ability to control light with electric fields — a phenomenon known as the electro-optic effect — supports vital applications such as light modulation and frequency transduction. These components rely on nonlinear optical materials, in which light waves can be manipulated by applying electric fields.

Led by Anatoly Kolomeisky, professor of chemistry and chemical and biomolecular engineering, the research team has developed a theoretical framework that quantitatively predicts menopause timing. By analyzing how ovarian follicles transition through different stages, the researchers’ model explains why menopause occurs and sheds light on individual variability and cross-population differences. These insights could improve fertility planning, inform health care decisions related to hormonal therapies and enhance our understanding of age-related health risks associated with ovarian aging.