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Creators/Authors contains: "Zhao, Xin"

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  1. Motivation: Despite the crucial importance of radio-frequency coils, the practical coil design process has remained a largely empirical one. Goal(s): To introduce a fully automatic procedure to optimize coil design using the ultimate intrinsic signal-to-noise ratio (UISNR) as the reference. Approach: We developed an intuitive user interface to parameterize and mesh coils, and implemented automatic tune-match-decoupling. We used MARIE to calculate coil SNR and the UISNR inside a head model. We optimized the size and position of loop coils with the goal of maximizing SNR/UISNR at target locations. Results: The optimization converged to coil configurations resembling the ideal current patterns. Impact: Optimizing the design of receive coil arrays can improve image quality and parallel imaging performance. This work demonstrates the first fully automatic approach to design receive coils that can approach the ultimate intrinsic signal-to-noise ratio. 
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    Free, publicly-accessible full text available May 14, 2027
  2. Free, publicly-accessible full text available December 1, 2026
  3. Free, publicly-accessible full text available March 1, 2027
  4. Abstract Global precipitation regimes have been shifted in recent decades, imposing significant consequences in water-limited grassland ecosystems. However, the effects of increased precipitation on the succession of soil microbial communities remain unclear, mainly due to the scarcity of long-term experiments with time-series data. Here, we examined temporal succession of grassland soil microbial communities in a long-term increased precipitation experiment. Both soil microbial taxonomic and functional structures were significantly altered by increased precipitation. Increased precipitation significantly decelerated the succession rates of soil microbial functional structure (i.e. time–decay relationships). Consistent with the increased microbial decomposition and heterotrophic respiration, the abundances of soil microbial carbon decomposition genes were markedly enhanced by increased precipitation. Furthermore, increased precipitation stimulated genes involved in nutrient cycling processes, potentially promoting plant growth. Collectively, the contributions of stochastic processes in shaping microbial communities were increased under increased precipitation, suggesting that microbial successional trajectories may shift toward multiple alternative states characterized by greater stochasticity under future altered precipitation regimes. 
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    Free, publicly-accessible full text available July 12, 2027
  5. Abstract Fused deposition modeling 3D printing provides a cost-effective and streamlined method for producing electrochemical sensors, overcoming the challenges associated with material selection, complex fabrication processes, and reproducibility issues. This study introduces an innovative approach utilizing a dual-printer setup to simplify the manufacturing of sensor electrodes. A critical enhancement in this process is the surface modification with reduced graphene oxide (rGO), which not only improves the electrochemical characteristics but also induces a wrinkled structure on the 3D printed surface. These wrinkles significantly increase the surface area, directly boosting the electrode’s electrochemical performance. Comprehensive characterization of the electrode surfaces, both before and after rGO modification, demonstrates a substantial increase in sensitivity, with a fortyfold improvement observed in hydrogen peroxide (H2O2) amperometric measurements. This breakthrough paves the way for advanced applications in 3D printed electrochemical sensors. 
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  6. Abstract Across three pre‐registered studies (n = 221 4–9‐year olds, 51% female; 218 parents, 80% female; working‐ and middle‐class backgrounds; data collected during 2019–2021) conducted in the United States (Studies 1–2; 74% White) and China (Study 3; 100% Asian), we document the emergence of a preference for “strivers.” Beginning at age 7, strivers (who work really hard) were favored over naturals (who are really smart) in both cultures (R2ranging .03–.11). We explored several lay beliefs surrounding this preference. Beliefs about outcomes and the controllability of effort predicted the striver preference: Children who expected strivers to be more successful than naturals and believed effort was more controllable than talent preferred strivers more. Implications of the striver preference in education and beyond are discussed. 
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