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GC-MoE: Genomics-Guided Cell-Type-Specific Mixture of Experts for Histology-Based Single-Cell Spatial Transcriptomics
Announce Type: new Abstract: Histology-based single-cell spatial transcriptomics (ST) estimation aims to predict gene expression for individual cells from histopathological images and cell locations, reducing the need for costly single-cell ST measurements. Unlike existing histology-to-ST methods that mainly predict spot-level profiles for local regions containing multiple cells, this task requires modeling cell-to-cell expression variability, which is strongly structured by cell type. We...
Dusklight – GC Twilight Princess Decompiled
Dusklight is now available! Check out our announcement post and release trailer. Become a legend – again.
Re-examining Granger Causality with Causal Bayesian Networks and Reichenbachs Principles
arXiv:2501.02672v3 Announce Type: replace-cross Abstract: Characterising cause-effect relationships in complex systems is fundamental to understanding their underlying mechanisms. Granger causality (GC) remains a widely used computational tool for identifying causal relationships in time series data. However, like other causal discovery methods, GC has limitations and has been criticised for lacking a rigorous causal foundation.
An Efficient and Scalable Graph Condensation with Structure-Preserving
arXiv:2605.31016v1 Announce Type: new Abstract: Graph condensation (GC) is pivotal for enabling Graph Neural Networks (GNNs) deployment in resource-constrained scenarios by compressing large-scale graphs into compact synthetic counterparts. Existing GC methods commonly suffer from computational inefficiency due to coupled optimization as well as encountering poor generalization across GNN architectures. To address these challenges, this study proposes an Efficient and Scalable Graph...
Locus coeruleus activation transforms cortical taste representations
Norepinephrine neurons in the locus coeruleus (LC) shape sensory responses across the brain, yet how LC activity reorganizes population representations of behaviorally relevant sensory attributes remains unclear. We addressed this question in the primary gustatory cortex (GC), a system largely unexplored in neuromodulation research and well-suited for linking sensory coding to affective value. Using miniscope calcium imaging in awake mice combined with optogenetic LC activation, we tested...
Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting
arXiv:2605.30486v1 Announce Type: new Abstract: Spatio-temporal forecasting on sensor graphs is commonly tackled with a single backbone architecture applied uniformly across all nodes, although graph regions can exhibit different dynamics. Road segments differ in functional class, structure, and traffic behavior, suggesting that node-wise expert specialization can be useful. We propose GC-MoE, a graph-conditioned mixture of experts framework that assigns each node a personalized combination...
The Ü Programming Language
Ü is a statically-typed compiled programming language, designed for writing programs, which should be both reliable and fast. It has safe and unsafe code separation, compile-time correctness checks, powerful abstractions like RAII and templates, encapsulation, rich type system, lambdas, coroutines and many other useful features. Ü uses RAII for memory and resources management (no GC is involved), but manual memory management may be still used in unsafe code.
Seamless Contraction-Control Framework for Unplanned Grid-Connected/Stand-Alone Transitions of Grid-Forming Inverters
Announce Type: new Abstract: Unplanned grid-connected (GC)/stand-alone (SA) transitions commonly occur in AC microgrids during protection trips, manual breaker operation, or low-bandwidth supervisory communication. Under such unplanned transitions, a grid-forming inverter must support the local-load voltage in stand-alone operation and regulate the desired power/current injection in grid-connected operation. Existing P--Q droop-based seamless-transfer methods often rely on planned transition...
Rift: Better Alternative to Git Worktrees
rift: better alternative to git worktrees - copy on write (saves space) - instant (< 0.1s on 10gb folder) - fast cli - use as FFI lib with bun or node mac and linux+btrfs for now more support soon npm install -g rift-snapshot # or bun add -g rift-snapshot Release archives are available from GitHub Releases. | Platform | Backend | Behavior | |---|---|---| | Linux x64 | Writable btrfs snapshots | rift init converts an ordinary directory into a btrfs subvolume.
Stimulus-Specific and Generalized Taste Aversion Behaviors and Their Relationship to Cortical Dynamics
Aversive taste behaviors, such as gaping, are commonly viewed as fixed, hard-wired responses important for ejecting potentially toxic tastes from the mouth. Yet, taste responses are highly susceptible to modulation by experience and context; for instance, conditioned taste aversion (CTA), a form of learning in which rats are made to respond aversively to a sweet taste after it has been paired with gastric malaise, can cause gaping to previously acceptable tastes. Here, we compare aversive...