Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira +13 more
wiley +1 more source
Unbounded Sturm attractors for quasilinear parabolic equations
Acuerdos transformativos CRUEWe analyse the asymptotic dynamics of quasilinear parabolic equations when solutions may grow up (i.e. blow up in infinite time).
Fernandes, Juliana +1 more
core +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
ABSTRACT Genetic modifiers of Duchenne muscular dystrophy (DMD) that alter disease severity or response to therapy have been reported using natural history or registry data sets of older corticosteroid‐treated patients. We tested associations of genetic modifiers on motor function outcomes in young (4 to < 7 years) steroid naïve clinical trial ...
Utkarsh J. Dang +16 more
wiley +1 more source
In this work, spectrum of a self adjoint differantial operator of higher order with unbounded operator coefficient has been investigated and an asymptotic formul for the eigenvalues of this differantial operator have found
Adıguzelov, Ehliman, Sezer, Yonca
core
Measuring Electrode Kinetics Under Spatial Confinement. Application of Pulse Voltammetry to Different Mass Transport Modes Using Butler-Volmer and Marcus-Hush-Chidsey Frameworks. [PDF]
Hernández-Tovar JV +5 more
europepmc +1 more source
Stochastic expansion of radionuclide inhalation dosimetry for consequence management application: uncertainty and sensitivity analysis in the ICRP 130 human respiratory tract model. [PDF]
Mate-Kole EM +5 more
europepmc +1 more source
An Improved Unbounded-DP Algorithm for the Unbounded Knapsack Problem with Bounded Coefficients
Benchmark instances for the unbounded knapsack problem are typically generated according to specific criteria within a given constant range R, and these instances can be referred to as the unbounded knapsack problem with bounded coefficients (UKPB). In order to increase the difficulty of solving these instances, the knapsack capacity C is usually set ...
openaire +2 more sources
Prerequisites for pore formation in foods. [PDF]
van der Sman RGM.
europepmc +1 more source

