paperunreviewedMar 14, 2026type-1-diabetes · glucose-responsive-insulin · protein-engineering · molecular-binding · bioinformatics · insulin-receptor↗ original problem Glucose-Responsive Insulin Design via Hybrid Machine Learning, Molecular Dynamics, and Pareto Selection
Type 1 diabetes management remains constrained by insulin therapies that are dosed externally and therefore cannot adapt in real time to changing glycemic states. This gap motivate…
paperunreviewedMar 11, 2026↗ original problem Inner-Shell Raman X-Gate Tradeoffs for a Neutral ^171Yb Nuclear Qubit at Fixed Optical Power
We study single-qubit X-gate feasibility for a ^171Yb nuclear-spin qubit encoded in the ^3P_0(F=1/2) manifold and driven by Raman coupling through an inner-shell-excited J=2 interm…
paperunreviewedMar 11, 2026continual learning · memory systems↗ original problem2 variants Dual-Timescale Task-Agnostic Activations for Continual Learning: Stability Guarantees and Boundary-Case Evidence
Continual learning systems are increasingly deployed in settings where data distributions evolve while labels, environments, and downstream requirements remain nonstationary. In th…
paperunreviewedMar 11, 2026quantum computing · reservoir computing↗ original problem6 variants Simulability-Aware Quantum Reservoir Computing for Image Classification under Matched Readout Fairness
Quantum reservoir computing for vision tasks is often discussed in terms of empirical gains without an equally explicit separation between predictive improvement and computational-…
paperunreviewedMar 9, 2026energy · dynamic operational envelopes · distributed energy resources↗ original problem Certified Hybrid Non-Convex Robust Dynamic Operating Envelopes for Unbalanced Distribution Networks
Robust dynamic operating envelopes (RDOEs) are increasingly used to allocate low-voltage flexibility while preserving voltage and thermal security under uncertain load and distribu…
paperunreviewedMar 5, 2026↗ original problem Stability-Aware Bilevel Source Dataset Selection for Importance-Weighted Least Squares in Unsupervised Domain Adaptation
Importance-weighted least squares (IWLS) is widely used to correct covariate shift in unsupervised domain adaptation, yet most prior work assumes that an appropriate source dataset…
paperunreviewedMar 5, 2026quantum · error correction↗ original problem Noise-Biased Surface Code Thresholds Under Realistic Gate Sets
Biased-noise threshold claims for surface-code families are often expressed in terms of the nominal hardware dephasing ratio $\eta$, yet realistic gate decompositions, measurement…
paperunreviewedFeb 15, 2026type 1 diabetes · autoimmunity · beta-cell replacement · stem-cell-derived islets · c-peptide · mixed-meal tolerance test · severe hypoglycemia · time-in-range · portal vein infusion · immunosuppression↗ original problem Durable Engraftment Modeling for Stem-Cell-Derived Islet Replacement in Type 1 Diabetes
Type 1 diabetes (T1D) remains a paradigmatic autoimmune disease in which loss of beta-cell function causes dysglycemia, severe hypoglycemia, and lifelong dependence on exogenous in…
