Results 141 to 150 of about 33,428 (267)

Maternal Group B <i>Streptococcus</i> Vaccination: A Three-Country European Consortium to Improve Surveillance and Data Readiness. [PDF]

Clin Epidemiol
Horváth-Puhó E, Lamagni T, Heath PT, Bijlsma MW, Lykke MR, Le Doare K, De Gier B, Procter SR, Khalil A, Paul P, Young AN, Sørensen HT, Lawn JE.   +12 more
europepmc   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source

Case Report: Recurrent Guillain-Barré Syndrome in a 56-Year-Old Male. [PDF]

Clin Case Rep
Sadiq F, Nawaz S, Saeed MA, Bilal F, Majeed HM, Shafiq W, Imtiaz K, Ahmad MH, Gohar A.   +8 more
europepmc   +1 more source

Reconnaissance Peptide Labeling Grain Boundary of Chemically Grown MoS2 Polycrystalline Monolayer

Advanced Materials Technologies, EarlyView.
Self‐assembled peptides on substrates, through adsorption and aggregation, offer an alternative way to label grain boundaries in chemically grown single‐layer polycrystalline MoS2. During an early nucleation step, peptides preferentially bind to grain boundaries.
Linhao Sun, Jinhua Hu
wiley   +1 more source

Performance analysis of UAV-assisted coverage for cell edge. [PDF]

PLoS One
Sun H, Zhou Y.
europepmc   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

<i>Akkermansia muciniphila</i> impacts group B <i>Streptococcus</i> vaginal colonization. [PDF]

mBio
Marroquin SM, Cohen S, Neely MN, Doran KS.   +3 more
europepmc   +1 more source

Self‐Powered Visible‐Blind Graphene/NiO/ZnO UV‐C Photodiodes

Advanced Optical Materials, EarlyView.
“A scalable architecture for self‐powered UV‐C photodiodes integrates defect‐engineered p‐NiO/n‐ZnO heterojunctions with highly UV‐C transparent graphene anodes. The type‐II band alignment combined with the built‐in electrical field enables robust zero‐bias charge separation.
Umut Kaya, Leon Lörcher, Yasaman Jarrahizadeh, Axel Lorke, Wolfgang Mertin, Gerd Bacher   +5 more
wiley   +1 more source

Human neutrophils recognize group B streptococci <i>via</i> formylated peptide receptors and toll-like receptor 8. [PDF]

Front Immunol
Fiore L, De Gaetano GV, Grasso F, Coppolino F, Famà A, Stifano M, Petrungaro A, Vita F, Quartarone E, Cipollina C, Lentini G, Beninati C.   +11 more
europepmc   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source