2410 11674 LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting

Moreover, the quality of the integration will be a function of the number of samples that can be used in the reference-building step. As the model integrates samples with different technical or phenotypical characteristics, it does a better job at regressing out the batch effects. Integrating data collected from different species can be a challenging task for data integration models. To understand how scPoli would perform in such a scenario, we built a reference from cells collected from the primal frontal cortex of marmoset and mouse using ortholog genes36.

The relationship between anion distribution in process water and flotation properties of iron oxides

• The data were published for the NeurIPS 2021 competition on multimodal single-cell integration.
• Therefore, the radial static and dynamic mechanical characteristics of finger beams with plain woven C/C composite were studied in this paper.
• We considered all cells with an uncertainty higher than the 90% quantile as unknown (Supplementary Fig. 5a) and inspected the classification performance by cell type (Supplementary Fig. 5b).
• The dataset was downloaded from ref. 63, which contains expression profiles based on the one-to-one orthologs (15,860 genes in total) defined in the three species.

The gut-brain axis describes how gut microbes communicate with the brain through multiple mechanisms. For instance, gut microbes regulate global immunity and brain function by activating immune cells and producing short-chain fatty acids, thereby influencing mood and cognition 9. The metabolic products of gut microbes also stimulate enteroendocrine cells to release neuropeptides and hormones, thus affecting appetite and mood via the vagus nerve 66. Additionally, these microbes can indirectly act on the neural pathways between the gut multi-scale analysis and brain by regulating hormone precursors, modulating stress and mood 67. These microbes can also adjust the availability of micronutrients, directly impacting brain development and health through the blood-brain barrier 68. This study showed how post-surgical cognition-related neuroactive microbes and metabolites participate in these gut-brain communication pathways, providing a significant addition to the existing body of scientific evidence.

Alphanumerical scales

Previous studies have documented attenuation and subsequent normalization of SN functional connectivity (FC) following surgery 62, 63, which aligns with our findings. These results suggest a decrease in focus on internal appetite states and cognitive recovery after surgery. Interestingly, rsFC changes observed in obese patients after non-surgical interventions, such as reduced DMN activity following treadmill walking 64, resemble those seen after surgical interventions. In summary, the increased FC observed in obese individuals 65 may contribute to the memory and executive functional recovery post-surgery. A whole-brain ROI-based resting-state functional connectivity (rsFC) analysis was conducted, as described by Zhiming Li et al. 31. This approach, which goes beyond the use of predefined ROIs from prior studies, provides a more comprehensive depiction of brain signal alterations following surgical intervention.

Understanding ecological groups under landscape fragmentation based on network theory

Therefore, a method of multi-scale modeling and mechanical performance analysis for plain woven C/C composite finger seals was conducted. The circumferential finger beams of C/C composite were modeled by multi-scale structural analysis and weaving simulation. The radial static and dynamic stiffness characteristics of finger beams were investigated. The results showed that the radial static stiffness of the finger beam with three layers was about 3 times that with single layer. The radial stiffness of circumferential finger beams presented a periodic distribution pattern with a period of 90°. The radial dynamic stiffness of C/C composite finger beams increased with the excitation displacement amplitude and rotor speed.

Probabilistic mesh-independent discrete damage analyses of laminate composites

• For another, the complex interactive relationships among water quality, topography, hydrology and management were not considered.
• Multi-scale analysis of non-equilibrium hypersonic rarefied diatomic gas flow was presented by using a parallel DSMC method with the DMC model for a diatomic gas molecular collision and with the MS model for a gas-surface interaction model.
• The proposed approach is considering the only hybrid sub-convolution layer with required multiscale feature blocks only.
• Modelingadvanced materials accurately is extremely complex because of the high numberof variables at play.
• Living systems exhibit massive cross-scale communication and energetic feedback, and increasingly so do engineered systems, such as adaptive robotics and adaptive organisations.

MicroCT observations can provide resolution as low as 400 nm, making it an ideal tool for non-destructive surveying of the sample prior to higher resolution characterization. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. The first scheme to address this problem is what VanDyke (1975) refers to as the method of strained coordinates.The method is sometimes attributed to Poincare, although Poincarecredits the basic idea to the astronomer Lindstedt(Kevorkian and Cole, 1996). Lighthill introduced a more general version in 1949.Later Krylov and Bogoliubov and Kevorkian and Cole introduced thetwo-scale expansion, which is now the more standard approach. With this approach, engineers are able to perform component and subcomponent designs with production-quality run times, and can even perform optimization studies.