SAN ANTONIO — December 15, 2025 — Southwest Research Institute (SwRI) has received $1.75 million in funding from the ENERGYWERX program to support a set of hydrogen-related projects. The eight projects focus on testing components for the hydrogen industry to improve energy infrastructure and support the use of this clean-burning fuel.

A research paper by scientists at the Beijing Institute of Technology proposed a brain–machine hybrid intelligent system for sound target detection (STD), featuring a neuroanatomy-informed EEG decoding network and an adaptive confidence-based fusion strategy to address poor robustness and limited generalization of existing methods under low signal-to-noise ratio (SNR) conditions or with unseen target classes.

The new research paper, publishede journal Cyborg and Bionic Systems, presented the development, validation, and optimization of the hybrid system, demonstrating that integrating neuroanatomical priors into EEG decoding and fusing brain-machine decisions can significantly enhance STD performance in complex acoustic environments.

Harvard engineers, as part of Project CETI, have built an open-source bio-logger that adheres to sperm whales and records high-fidelity, multi-channel audio plus rich behavioral and environmental data. The data are tailored for machine learning analysis so that researchers can better understand whale communication.

New findings shed light on the mechanisms behind a natural purification process and identify the key microbial “teammates” that enable mosses to remove metals from water. A promising moss species was discovered in abandoned mine sites where few other plants survive. Upcoming tests will evaluate their performance in iron-rich forest drained ditches. 

Extracellular vesicles serve as essential mediators of communication between immune cells and tumor cells, and the recent advances in artificial induction strategies offer an adaptable and efficient platform for engineering extracellular vesicles, enabling their application as next-generation strategies in cancer immunotherapy.

The lithium-ion battery is a new energy storage device widely employed in various fields such as mobile power, electric vehicles, unmanned aerial vehicles, and spacecrafts due to its high energy, high efficiency, lightweight, and environmental friendliness. Understanding the internal mechanism of the battery is of utmost importance. The electrochemical model provides detailed insights into the internal mechanism of lithium batteries and encompasses the single-particle model and the P2D model, as well as enhancements such as thermal coupling, mechanical stress coupling, and electric double-layer capacitive coupling. However, the dispersion effect of capacitors in solid electrolyte interface (SEI) film capacitors and porous electrodes has been basically ignored, which is essential for analyzing the internal mechanism and managing energy conversion in lithium batteries experiencing short-term effects. Furthermore, the determination of the dominant order of the Faraday process and non-Faraday process within a short time period is essential for accurately predicting the lifespan of lithium batteries subjected to high-frequency periodic excitation and assessing performance degradation. While the frequency range of these two processes can be roughly delineated through electrochemical impedance spectroscopy (EIS), the precise transition time of their dominant positions remains uncertain.

In an Annenberg Public Policy Center white paper, biostatistician Jeffrey Morris of the University of Pennsylvania's Perelman School of Medicine analyzes the U.S. vaccine safety monitoring system and suggests how its components, including VAERS, can be improved.