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Circadian rhythms are pervasive among eukaryotes, and the underlying clocks share a common regulatory architecture—a negative feedback loop. A wealth of genetic and biochemical data underpin current perceptions of circadian oscillators but aspects of their cell biology remain cryptic, especially in syncytial systems like Neurospora crassa. We employed novel microfluidic systems and a light-blind mutant that retains circadian function to simultaneously track multiple clock components in vivo across circadian cycles in Neurospora. Despite heterogeneity of clock gene (frq) expression, we find robust, synchronous cycles in FRQ nuclear localization among all nuclei and document free diffusion of multiple clock components among nuclei. Within nuclei, clock components form small, highly dynamic nuclear bodies that persist throughout the cycle and exhibit time-dependent changes in composition, including transient colocalization between the positive and negative components for circadian regulatory functions. This rich context of in vivo spatiotemporal information illustrates how dynamic subnuclear organization and internuclear exchange of clock proteins ensure synchronous regulation of cellular activities across a macroscopic, multinucleated syncytium. 

Binary nanoparticle superlattices (BNSLs) comprised of polymer-grafted shaped nanoparticles enable the construction of new isotropic mesomaterial. 

California has committed to ambitious decarbonization targets across multiple sectors, including decarbonizing the electrical grid by 2045. In addition, the medium- and heavy-duty truck fleets are expected to see rapid electrification over the next two decades. Considering these two pathways in tandem is critical for ensuring cost optimality and reliable power system operation. In particular, we examine the potential cost savings of electrical generation infrastructure by enabling flexible charging and bidirectional charging for these trucks. We also examine costs adjacent to enabling these services, such as charger upgrades and battery degradation. We deploy a large mixed-integer decarbonization planning model to quantify the costs associated with the electric generation decarbonization pathway. Example scenarios governing truck driving and charging behaviors are implemented to reveal the sensitivity of temporal driving patterns. Our experiments show that cost savings on the order of multiple billions of dollars are possible by enabling flexible and bidirectional charging in medium- and heavy-duty trucks in California. 

We present a novel topology-preserving 3D medial axis computation framework based on volumetric restricted power diagram (RPD), while preserving the medial features and geometric convergence simultaneously, for both 3D CAD and organic shapes. The volumetric RPD discretizes the input 3D volume into sub-regions given a set of medial spheres. With this intermediate structure, we convert the homotopy equivalency between the generated medial mesh and the input 3D shape into a localized contractibility checking for each restricted element (power cell, power face, power edge), by checking their connected components and Euler characteristics. We further propose a fractional Euler characteristic algorithm for efficient GPU-based computation of Euler characteristic for each restricted element on the fly while computing the volumetric RPD. Compared with existing voxel-based or point-cloud-based methods, our approach is the first to adaptively and directly revise the medial mesh without globally modifying the dependent structure, such as voxel size or sampling density, while preserving its topology and medial features. In comparison with the feature preservation method MATFP [Wang et al. 2022], our method provides geometrically comparable results with fewer spheres and more robustly captures the topology of the input 3D shape.