Study 3 used the classical declarative memory consolidation paradigm combined with genotyping techniques to examine the variability of overnight memory consolidation ability among individuals with different genotypes. The results showed that only the rs1801133 locus differed significantly between different genotypes, showing that individuals with the AG (heterozygous mutant) genotype had significantly lower memory retention than the GG (wild-type) genotype. Correlation analysis further showed that there were significant differences in subjective and objective sleep metrics associated with changes in recognition ability among individuals with different genotypes at the MTHFR gene polymorphism locus. Sleep efficiency and wakefulness metrics were more associated with individual differences in overnight memory consolidation associated with natural variation in the MTHFR gene than non-REM indicators.翻译

研究三采用经典的陈述性记忆巩固范式结合基因分型技术，研究了不同基因型个体之间随着时间推移而巩固记忆的能力的变异性。结果表明，仅在rs1801133位点不同基因型之间存在显著差异，表明AG（杂合突变型）基因型的个体记忆保留能力显著低于GG（野生型）基因型的个体。相关分析进一步表明，在MTHFR基因多态性位点不同基因型个体之间，与识别能力变化相关的主观和客观睡眠指标存在显著差异。睡眠效率和清醒度指标与MTHFR基因自然变异相关的随着时间推移而巩固记忆的个体差异相关性更高，而非快速动眼期指标。

相关问题

Unlike the classical encryption schemes,keys are dispensable in certain PLS technigues, known as the keyless secure strat egy. Sophisticated signal processing techniques such as arti- ficial noise, beamforming,and diversitycan be developed to ensure the secrecy of the MC networks.In the Alice-Bob-Eve model, Alice is the legitimate transmitter, whose intended target is the legitimate receiver Bob,while Eve is the eavesdropper that intercepts the information from Alice to Bob.The secrecy performance is quantified via information leakagei.ethe dif ference of the mutual information between the Alice-Bob and Alice-Eve links. The upper bound of the information leakage is called secrecy capacity realized by a specific distribution of the input symbols, namely,capacity-achieving distribution.The secrecy performance of the diffusion-based MC system with concentration shift keying(CSK)is analyzed from an informa- tion-theoretical point of view,providing two paramount secrecy metrics, i.e., secrecy capacity and secure distance[13].How ever, only the estimation of lower bound secrecy capacity is derived as both links attain their channel capacity.The secrecy capacity highly depends on the system parameters such as the average signal energy,diffusion coefficientand reception duration. Moreover, the distance between the transmitter and the eavesdropper is also an important aspect of secrecy per- formance. For both amplitude and energy detection schemes secure distance is proposed as a secret metricover which the eavesdropper is incapable of signal recovery. Despite the case with CSK,the results of the secure metrics vary with the modulation type(e.g.pulse position,spacetype) and reception mechanism(e.g.passive,partially absorbingper fectly absorbing).For ease of understanding,Figure 3 depicts the modulation types and the corresponding CIRs with different reception mechanisms. Novel signa processing techniques and the biochemical channel properties can further assist the secrecy enhancement in the MC system.The molecular beam forming that avoids information disclosure can be realized via the flow generated in the channel.Besidesnew dimensions of diversity, such as the aforementioned molecular diversity of ionic compounds, can beexploited. Note that the feasibility of these methods can be validated by the derived secrecy metrics.

该论文主要介绍了在某些物理层安全技术中，与传统加密技术不同的是，密钥并不是必须的，这种技术被称为“无密钥安全策略”。通过使用先进的信号处理技术，如人工噪声、波束成形和多样性等，可以确保分子通信网络的安全性。文章还介绍了Alice-Bob-Eve模型，其中Alice是合法的发射器，其目标是合法的接收器Bob，而Eve是窃听者，从Alice到Bob的信息进行拦截。通过信息泄漏的度量，即Alice-Bob和Alice-Eve之间的互信息差异，来量化保密性能。信息泄漏的上界称为特定输入符号分布实现的保密容量。从信息论的角度分析了基于扩散的浓度偏移键控分子通信系统的保密性能，提供了两个重要的保密度量，即保密容量和安全距离。然而，只得到了保密容量的下界估计，因为两条链路都达到了其信道容量。保密容量高度依赖于系统参数，如平均信号能量、扩散系数和接收持续时间。此外，发射器与窃听者之间的距离也是保密性能的重要方面。对于幅度和能量检测方案，提出了安全距离作为一种保密度量，超过这个距离窃听者无法恢复信号。尽管使用CSK的情况，保密度量的结果会随着调制类型（如脉冲位置、空间类型）和接收机制（如被动、部分吸收、完全吸收）而有所不同。为了方便理解，图3描述了不同接收机制下的调制类型及其相应的通道冲激响应。此外，新的信号处理技术和生物化学通道特性可以进一步提高分子通信系统的保密性。通过通道中产生的流可以实现分子波束成形，避免信息泄露。此外，还可以利用分子离子化合物等新的多样性维度。需要注意的是，这些方法的可行性可以通过推导的保密度量进行验证。

Please revise the paper：Accurate determination of bathymetric data in the shallow water zone over time and space is of increasing significance for navigation safety, monitoring of sea-level uplift, coastal areas management, and marine transportation. Satellite-derived bathymetry (SDB) is widely accepted as an effective alternative to conventional acoustics measurements over coastal areas with high spatial and temporal resolution combined with extensive repetitive coverage. Numerous empirical SDB approaches in previous works are unsuitable for precision bathymetry mapping in various scenarios, owing to the assumption of homogeneous bottom over the whole region, as well as the limitations of constructing global mapping relationships between water depth and blue-green reflectance takes no account of various confounding factors of radiance attenuation such as turbidity. To address the assumption failure of uniform bottom conditions and imperfect consideration of influence factors on the performance of the SDB model, this work proposes a bottom-type adaptive-based SDB approach (BA-SDB) to obtain accurate depth estimation over different sediments. The bottom type can be adaptively segmented by clustering based on bottom reflectance. For each sediment category, a PSO-LightGBM algorithm for depth derivation considering multiple influencing factors is driven to adaptively select the optimal influence factors and model parameters simultaneously. Water turbidity features beyond the traditional impact factors are incorporated in these regression models. Compared with log-ratio, multi-band and classical machine learning methods, the new approach produced the most accurate results with RMSE value is 0.85 m, in terms of different sediments and water depths combined with in-situ observations of airborne laser bathymetry and multi-beam echo sounder.

回答：本文提出了一种基于底部类型自适应的卫星深度测量（BA-SDB）方法，以解决传统卫星深度测量模型中假设底部均匀的局限性以及不能充分考虑影响反射率的干扰因素，如浊度等。通过基于聚类的底部反射率自适应分割，并采用PSO-LightGBM算法考虑多种因素，实现了对不同沉积物和水深的准确深度估算，与空中激光测深和多波束回声深度声纳联合实测结果相比，均方根误差值达到0.85m，是传统比值法、多波段法和机器学习方法中最准确的方法。