Matthew J.

We report the hydrogen-bonding dynamics of water to a nitrile-functionalized and plasmonic electrode surface as a function of applied voltage. The ...

In recent years the study of resting state brain networks (RSNs) has become an important area of neuroimaging. The majority of studies have used fu...

Mental health stigma and underutilization of psychiatric care remain significant challenges in Asian American, Native Hawaiian, and Pacific Islander (AANHPI) communities, driven by cultural norms of silence, the model minority myth, and structural barriers to care. Narrative medicine, a clinical approach that utilizes storytelling, reflective writing, and deep listening, offers a promising approach to address these challenges by centering identity, voice, and meaning making in mental health engagement, processes that are foundational to psychological healing. In this Perspective, we describe “A is for ___”, a novel narrative medicine–based empowerment framework developed through A-Team Med, a community-based nonprofit organization. The framework is left intentionally blank to symbolize the tremendous diversity of the AANHPI experience and counter monolithic representations of Asian American identity. Applied in community settings, the framework invites participants to complete the prompt “A is for ___” by selecting a personally meaningful word beginning with the letter “A” that reflects the individual’s AANHPI lived experience. This open-ended structure serves as an accessible entry point for self-authorship, critical reflection, and dialogue about the AANHPI experience and mental health topics traditionally underdiscussed within this community. We situate this intervention within theories of narrative identity, cultural psychiatry, and the social determinants of mental health. We describe the implementation of this framework in a community workshop with over 50 AANHPI adolescents across multiple underserved community centers in Los Angeles. Author observations of participant experiences suggest that the exercise facilitated emotional expression, reduced stigma surrounding mental health conversations, and fostered validation and a sense of belonging. We further discuss practical applications of this framework in clinical encounters, community psychoeducation, and youth programs, as well as its potential for digital and telehealth adaptation. By reframing mental health engagement through narrative agency rather than pathology, “A is for ___” offers a low-cost, scalable, and culturally responsive tool to support mental health destigmatization and empowerment in AANHPI and other marginalized communities.

Understanding and predicting the trigger of solar flares has been an area of focus for many years. In this work, we analyze EUV coronal data from SDO/AIA and Solar Orbiter EUI EUV High Resolution Imager (HRIEUV) to determine whether regions with high free magnetic energy in the photosphere show related dynamics in the corona. We studied two large solar flares from the same active region on 19 and 20 March 2024. We found that the two identified magnetic regions with high free energy also had frequent small spatial scale EUV intensity changes as highlighted through the standard deviation of the imaging data. The standard deviation enhancement in these regions peaked at least two minutes before the GOES X-ray emission and was close in time to the peak of the non-thermal emission, providing an additional method to identify the early flare trigger location and start.

This work introduces a new approach to AI in which machines improve by “thinking” longer rather than learning from more data. This enables adaptable systems showing strong performance in challenging vision tasks like cancer detection.

Hepatitis C virus (HCV), an important pathogen and prototype hepacivirus, 5' caps its RNA with flavin adenine dinucleotide (FAD); no other 5' metabolite capped viral RNAs have been identified.

A growing list of Alzheimer’s disease (AD) genetic risk factors is being identified, but the contribution of each variant to disease mechanism rema...

Wild perennial plants can be domesticated to make agriculture more diverse and resilient, but many have large genomes that have been recalcitrant to analysis.

Many systems resist analytical modeling, making data-driven inference of dynamics important.