Transition-Based
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Transition-Based Digital Twin Modelling for Alzheimer's Disease under Sparse Longitudinal Data
Announce Type: new Abstract: Alzheimer's disease (AD) progression is highly heterogeneous and is typically observed through sparse and irregular longitudinal data, posing challenges for prediction and personalised monitoring. Existing machine learning approaches have improved AD prediction using multimodal data, yet often focus on static classification or cohort-level risk estimation, providing limited support for subject-specific modelling and uncertainty-aware reasoning. To address these...
A Class of Multipartite Entangled States Based on State Transitions
arXiv:2606.05579v1 Announce Type: cross Abstract: We introduce Transition states (T states), denoted by $\ket{T_k^n}$, as a class of multipartite entangled states characterized by a fixed number of state transitions between adjacent qubits. These states form equal-amplitude superpositions over all states with a specified transition count. Unlike Bell states based on two-qubit correlations, GHZ states characterized by global correlations among all qubits, and W and Dicke states based on fixed...
A tree interpretation of arc standard dependency derivation
arXiv:2603.27459v3 Announce Type: replace Abstract: Arc-standard derivations over projective dependency trees can be interpreted as the incremental construction of lexicalized ordered trees with contiguous yields. Each \textsc{shift}, \textsc{leftarc}, and \textsc{rightarc} transition corresponds to a deterministic tree update, and the resulting ordered tree uniquely determines the dependency arcs introduced by the derivation. We show that this representation is not an arbitrary encoding: a...
NeuroSymbolic Robustness Analysis for Discrete Systems with Respect to Transition Deviations
arXiv:2606.03872v1 Announce Type: new Abstract: Supervisory control of discrete-event systems provides formal guarantees of correctness with respect to a plant model and specification. However, these guarantees heavily rely on the plant model, which could deviate from nominal behavior due to modeling errors or faults. Recent notions of discrete robustness model deviations as a set of additional transitions that are added to the plant.
Commentary: Should FIFA do more to protect players from World Cup heat?
Commentary: Should FIFA do more to protect players from World Cup heat? Heat stress could negatively affect players' performance and pose a threat to their health, say these writers. ST CATHARINES, Canada: The most-watched sporting event in the world kicks off on Jun 11 co-hosted by Canada, Mexico and the United States.