University of Illinois Urbana-Champaign

Spirulina as a Multifunctional Ingredient: Challenges, Opportunities, Composition, Techno‐Functional Properties, and Food Applications

ABSTRACT Spirulina platensis is a nutrient‐dense, sustainable microalga with diverse applications across food systems. This review summarizes its technological–functional characteristics, nutritional composition, and contemporary uses in fortified and functional foods. Spirulina...

Personalized federated recommendation via long-horizon local optimization and regularized knowledge guidance

Abstract Federated Recommendation (FedRec) enables privacy-preserving recommendation by training models across user devices without sharing raw interaction data. However, personalized FedRec still faces a trade-off between personalization and resource efficiency. In this paper, w...

The SIMDA framework maps PIP2-binding sites regulating the KCNQ1 channel

Voltage-gated potassium channel KCNQ1 (Kv7.1) underpins cardiac repolarization, epithelial ion transport, and inner ear function. Its versatility arises from interactions with KCNE proteins, calmodulin (CaM), and the lipid phosphatidylinositol 4,5-bisphosphate (PIP2), yet the mol...

Design of a neutron irradiation campaign for electron beam welded reactor pressure vessel steel

The objective of this study is to document a neutron irradiation experiment campaign intended to enable evaluation of embrittlement in electron beam (EB) welded SA508, Grade 3 reactor pressure vessel (RPV) steel for small modular reactors. Arc welds in RPVs have historically expe...

Long-Integration Magnetar Burst Observatory (LIMBO): Instrument Summary and Early FRB Rate Constraints

Abstract The Long-Integration Magnetar Burst Observatory (LIMBO) is a real-time radio transient detection pipeline designed to search for dispersed fast radio bursts (FRBs) from Galactic magnetars. LIMBO employs a 4.3-m dish with a dual-polarization feed to continuously monitor a...

Multivariate Penalized-Complexity-Like Priors for Exploratory Factor Analysis

Factor analysis is an important technique for modeling multivariate data. Researchers remain interested in developing Bayesian procedures to recover simpler structures to explain how observed variables relate to the underlying factors. We propose a new penalized-complexity-like p...

Sociotechnical synergy: how employee involvement unlocks the value of data analytics

Purpose Despite high expectations about the benefits of data analytics (DA), our understanding of the mechanisms that drive value creation from the implementation of DA in firms remains incomplete. While some studies have suggested that innovation prowess, human resources and ope...

Supporting Children with Medical Complexities: Strengths and Needs in Early Intervention

There is limited research related to Part C Early Intervention (EI) services for families of children with medical complexities (CMC). Given the extensive barriers that CMC and their families experience (e.g., financial hardships, ableism, frequent appointments, mental health pro...

Investigating the temporal distribution of words in child-centered audio using the burstiness metric

As the use of naturalistic data of children's language experiences increases, the temporal dynamics of the environment becomes a more apparent feature of naturalistic language. By investigating the temporal dynamics of the language environment, we can both more accurately describ...

A Data-Efficient Deep Learning Paradigm for Crack Segmentation Using Generative AI

High manual annotation costs and poor generalizability often limit the robustness of deep learning models for pavement crack segmentation. This study addresses these challenges by developing and validating a diffusion-based generative artificial intelligence framework to support...

Exhumation of Grand Canyon’s basement along the Great Escarpment of Laurentia

The Grand Canyon encompasses two billion years of Earth history, but more than half this record is absent across a regionally extensive erosional surface known as the Great Unconformity. This enigmatic surface has been linked to multi-phase regional tectonics accompanying superco...

Effectiveness of a Personalized Robot-Assisted Trunk and Lower Limb Rehabilitation in Patients with Chronic Stroke

OBJECTIVE: To investigate the clinical effectiveness of a newly developed trunk-lower limb rehabilitation robot in patients with chronic stroke. DESIGN: Randomized controlled trial conducted at a rehabilitation center. Forty patients with chronic stroke (mean age 59.48±7.63 years...

Selective Electrodepositionof Cobalt from Lithium–IonBattery Cathodes via Speciation Control and Surface-Modified PorousElectrodes

Abstract Electrochemical separations have emerged as cost-effective and sustainable pathways for battery recycling. To address the challenge of cobalt–nickel separation from lithium nickel manganese cobalt oxide (NMC) cathodes in spent batteries, we present a synergistic strategy...

2D hydrodynamical simulations of Be star decretion disc formation through boundary layer effects

Abstract Be stars are massive main-sequence stars rotating close to their breakup rate. They possess a decretion disc of material built up due to mass loss from the star, however, there is not a consensus to the mechanism responsible for the formation of the disc because of their...

Influence of many-body correlation and mixed-valence fluctuations on X-ray magnetic circular dichroism and resonant inelastic X-ray scattering spectra

X-ray magnetic circular dichroism (XMCD) and resonant inelastic X-ray scattering with magnetic circular dichroism (RIXS-MCD) provide unparalleled insights into the electronic and magnetic dynamics of complex materials. However, interpreting their spectra in mixed-valence systems...

Human interaction with viscoelastic matter

Research on human perception of materials that are either strictly liquid or solid in nature is abundant. However, most real materials with which we interact are viscoelastic, meaning their behavior while probing depends on probing force and time itself, giving a complex, multi-d...

A Survey of Distributed Asynchronous Many-Task Models and Their Applications

Asynchronous many-task (AMT) runtime systems have become an important paradigm for expressing fine-grained parallelism and managing asynchrony in high-performance computing (HPC). Originating from early dataflow concepts, AMTs have evolved to enable dynamic task generation, expli...

Gravity Wave Energy Baselines (∼30–110 km) Established From Lidar Observations at McMurdo (77.84°S, 166.67°E), Antarctica: Energy Dissipation and Constituent Diffusion

Abstract Lidar observations above McMurdo, Antarctica from 2011 to 2024 are used to characterize gravity wave (GWs) potential energies () in the mesosphere and lower thermosphere (MLT). Alongside characterizations in the middle atmosphere (30–70 km), the GW baselines show dissipa...

A generalization of director tensors for odd matter in classical continuum mechanics

Abstract A general tensorial framework for odd and hyperelastic contributions in linear elasticity is developed within classical continuum mechanics. The formulation is based on complementary decompositions of the second-order identity tensor and an off-diagonal selector tensor,...

One Size Does Not Fit All: Adaptive Interest Representation Learning for Multi-interest Recommendation

Sequential recommendation (SR) aims to predict users’ next interactions by modeling contextual patterns in their historical behavior sequences. Recent advancements in SR introduce multi-interest models that use multiple vectors to represent users’ diverse interests. However, exis...