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(1) Background: Nanoplastics are emerging environmental pollutants with potential toxic effects on aquatic organisms. This study investigates the toxicity of NPs in Biomphalaria glabrata, a freshwater snail species widely used as a bioindicator species in ecotoxicology studies.; (2) Methods: We exposed three generations (F0–F2) of B. glabrata snail embryos to different sizes of polystyrene nanoparticles and assessed responses.; (3) Results: We observed severe effects on F0 to F2 B. glabrata embryos, including size-dependent (30 to 500 nm) increases in mortality rates, size and dosage-dependent (1 to 100 ppm) effects on hatching rates with concentration-dependent toxicity in the 30 nm exposure group. The F2 generation embryos appear to be most responsive to detoxification (CYP450) and pollutant metabolism (HSP70) at 48-h-post-treatment (HPT), while our developmental marker (MATN1) was highly upregulated at 96-HPT. We also report a particle-size-dependent correlation in HSP70 and CYP450 mRNA expression, as well as enhanced upregulation in the offspring of exposed snails. We also observed significant reductions in hatching rates for F2.; (4) Conclusions: These findings indicate that F2 generation embryos appear to exhibit increased stress from toxic substances inherited from their parents and grandparents (F1 and F0). This study provides valuable insights into the impact of plastic particulate pollution on multiple generations and highlights the importance of monitoring and mitigating plastic waste. 

Reconfigurable intelligent surface (RIS) technology is emerging as a promising technique for performance enhancement for next-generation wireless networks. This paper investigates the physical layer security of an RIS-assisted multiple-antenna communication system in the presence of random spatially distributed eavesdroppers. The RIS-to-ground channels are assumed to experience Rician fading. Using stochastic geometry, exact distributions of the received signal-to-noise-ratios (SNRs) at the legitimate user and the eavesdroppers located according to a Poisson point process (PPP) are derived, and closed-form expressions for the secrecy outage probability (SOP) and the ergodic secrecy capacity (ESC) are obtained to provide insightful guidelines for system design. First, the secrecy diversity order is obtained as 2α2 , where α2 denotes the path loss exponent of the RIS-to-ground links. Then, it is revealed that the secrecy performance is mainly affected by the number of RIS reflecting elements, N, and the impact of the number of transmit antennas and transmit power at the base station is marginal. In addition, when the locations of the randomly located eavesdroppers are unknown, deploying the RIS closer to the legitimate user rather than to the base station is shown to be more efficient. Moreover, it is also found that the density of randomly located eavesdroppers, λe , has an additive effect on the asymptotic ESC performance given by log2(1/λe) . Finally, numerical simulations are conducted to verify the accuracy of these theoretical observations.