University of Washington Applied Physics Laboratory

Inefficient Carotenoid-Mediated Quenching of Chlorophyll a Triplet: A Hypothetical Cause for the Evolution of Cys-Mediated Quenching in IsiA

Abstract Iron-stress-induced protein A (IsiA) is a chlorophyll (Chl) a-containing protein in cyanobacteria. Under low-iron growth, it is the most abundant intracellular Chl a-binding protein. IsiA and the CP43 protein are suggested to have coevolved from a common ancestral protei...

Seasonal to decadal evolution of firn properties and impacts on hydrology of the Juneau Icefield

Alpine glaciers of Alaska are significant contributors to global sea-level rise. Most Alaskan glaciers lose mass through surface melt due to increasing atmospheric temperatures. Surface melt may be retained or run off in the snow and firn, potentially altering regional glacial hy...

Stabilizing PDE–ML coupled systems

A long-standing obstacle in the use of machine-learnt surrogates with larger PDE systems is the onset of instabilities when solved numerically. Efforts towards ameliorating these have mostly concentrated on improving the accuracy of the surrogates or imbuing them with additional...

Bifunctional Phagocytic Synapse Enhancers Remodel the Tumor Microenvironment to Overcome Immunosuppression

Abstract Current immunotherapies often fail in immunologically “cold”, macrophage-rich tumor microenvironments (TMEs). Multi-targeting approaches that modulate innate-adaptive immune activation represent a promising frontier in cancer immunotherapy. Here, we developed phagocytic...

Bridging the gap in Long COVID care: identifying core competencies for primary care curriculum development and evaluation

Abstract Background There is an unmet need for Long COVID care within our healthcare system. Primary care clinicians (PCPs) face challenges in providing effective care due to limited relevant Long COVID training and lack of standardized clinical resources. Pre-CME (continuing med...

Observation of Yanai Wave Excitation by Tropical Instability Waves in the Equatorial Pacific

Abstract Yanai waves are observed in the central equatorial Pacific at 436–864 m depth, below the Equatorial Undercurrent. Applying maximum likelihood estimation to shipboard ADCP measurements enables identification of Yanai wave signals from irregularly sampled observations. Ray...

Utility of DAT in Low-Risk Neonates with ABO or RhD Incompatibility

BACKGROUND Routine direct antiglobulin test (DAT) screening in newborns at risk of isoimmune hemolytic disease is a long-standing practice. Advancements in prophylactic care and noninvasive hyperbilirubinemia monitoring warrant reevaluating the value of DAT. We investigated the c...

CS-SHRED: enhancing SHRED for robust recovery of spatiotemporal dynamics

Abstract We present CS-SHRED, a novel deep learning architecture that integrates compressed sensing (CS) into a shallow recurrent decoder (SHRED) to reconstruct spatiotemporal dynamics from incomplete, compressed or corrupted data. Our approach introduces two key innovations. Fir...

Viscoelastic Response of Crosslinked Rubber: Coarse‐Grained Molecular Dynamics and Time‐Temperature Superposition

ABSTRACT The viscoelastic response of crosslinked rubber was investigated using coarse‐grained molecular dynamics simulations combined with time‐temperature superposition. Crosslinked polymer networks containing different numbers of crosslinkers were generated using a dynamic rea...

Subspace Langevin Monte Carlo

Abstract. Sampling from high-dimensional distributions has wide applications in data science and machine learning but poses significant computational challenges. We introduce subspace Langevin Monte Carlo (SLMC), a novel and efficient sampling method that generalizes random-coord...

Sustainable Metal–Organic Framework Water Harvesters in the Artificial Intelligence Era

Abstract Metal–organic frameworks (MOFs) are promising candidates for water harvesting due to their tunable pore environments, which can be precisely engineered to capture and release water in arid conditions. Integrating artificial intelligence (AI) into MOF discovery can accele...

Measuring Ocean Surface Waves

Abstract Propagating waves on the ocean surface can be represented as a stochastic process whose statistics are characterized by a spectrum. This paper reviews methods for measuring the wave spectrum and related quantities. Observations begin by sensing fluid dynamical properties...

Buffon discrepancy and the Steinhaus longimeter

Abstract Let be a convex set. We study the problem of distributing a one‐dimensional set with total length so that for any line in the number of intersections is proportional to the length as much as possible; we use the term Buffon discrepancy for the largest error. A constructi...