Traffic noise is a significant risk factor for adverse health outcomes. Despite burgeoning interest in reducing the harmful health effects of traffic noise, research on the influence of physical and psychoacoustic attributes has been sparse. Consequently, this study examines the impacts of various acoustic attributes on mitigating stress response to traffic noise using dependent variables derived from electrodermal activity. The results indicate that: (a) mixing water sound (noise) at a low signal-to-noise ratio effectively mitigated stress response to traffic noise (signal), whereas mixing white noise with high fractal complexity (noise) significantly induced stress; and (b) sound pressure and acoustic sharpness significantly reduced stress response to traffic noise. Conversely, attributes such as high fractal complexity, moderate and high signal-to-noise ratios, acoustic loudness, and mean frequency significantly increased stress. This research offers a viable blueprint for creating evidence-based noise mitigation strategies that focus on intervention sound attributes.

Doubled haploid (DH) populations, particularly those from subspecies crosses possessing the wide compatible gene S5ⁿ , are important germplasm resources for rice genetic studies and breeding, but their feature and potential have not been fully assessed and explored. In the present study, we produced a DH population from the hybrid of japonica 668B and wide compatible indica T23. Genotyping of the S5 locus with allele-specific markers for ORF3, ORF4 and ORF5 revealed a potential recombination hot spot in the ORF3-ORF4 region. Haplotyping analysis revealed that 21/34 subspecies specific Indel markers segregated in distortion in the DH population, with a few lines having indica alleles either extremely low (1.7%) or high (98.3%), with little effect of the S5 allele. While DH lines with the S5ⁿ allele had higher frequency of indica alleles, no effect of the S5ⁿ allele was observed on all agronomic traits but flowering time. Taken together, the present study advanced understanding of the genetics of wide crosses in general, and DH production in particular between the two rice subspecies, and the new DH population generated will become a useful resource for rice genetic study and breeding in the future.

Suicide has become the second leading cause of death among U.S. college students, exacerbated by COVID-19. A more comprehensive understanding of its risk factors can guide the development of effective prevention strategies tailored to this population. We employed a time-series cross-sectional approach and used the national survey data from the American College Health Association to examine the effects of institutional characteristics (school locale, region, size, and type) and behavioral factors (physical and social activities) on suicide risks among U.S. college students across different pandemic phases (before, early phase, and late phase). We also tested whether behavioral factors moderated the association between the pandemic period and suicide risk. After adjusting for confounders, multilevel regression results showed that (1) suicide risk increased during the pandemic, particularly in the late phase; (2) institutional characteristics, including geographic region and religious affiliation, as well as student behaviors such as physical and social activities, were significant predictors of suicide risks; and (3) behavioral factors moderated the pandemic’s effect on suicide risk, as shown by the role of social activities (e.g., team sports, socializing with friends) amplifying the effect, whereas spending time with family mitigated it. Because risk rose fastest where certain social activities intensified pandemic effects, campuses should prioritize structured, lower-risk social engagement, while pairing selective strategies in high-activity settings (e.g., targeted screening, gatekeeper training) with universal measures (e.g., campus-wide suicide prevention program). Overall, this study offers evidence-informed guidance to shape campus environments that mitigate suicide risk and support student well-being, considering institutional context, behavioral factors, and public health crises.