Results 91 to 100 of about 20,022 (282)
Identification of Pattern Completion Neurons in Neuronal Ensembles Using Probabilistic Graphical Models. [PDF]
Carrillo-Reid L +6 more
europepmc +1 more source
This study introduces a modular microfluidic platform that connects liver cells with live microbes to mimic key aspects of the gut–liver interaction in steatosis. Using this system, both microbial metabolites and live bacteria significantly reduced fat accumulation in liver cells, but live microbes triggered inflammation and broader metabolic changes ...
Hsih‐Yin Tan +7 more
wiley +1 more source
Up-to-date maps of a city’s urban structure types (USTs) are very important for effective planning, as well as for different studies and applications.
Tessio Novack, Uwe Stilla
doaj +1 more source
Lipschitz Parametrization of Probabilistic Graphical Models
We show that the log-likelihood of several probabilistic graphical models is Lipschitz continuous with respect to the lp-norm of the parameters. We discuss several implications of Lipschitz parametrization. We present an upper bound of the Kullback-Leibler divergence that allows understanding methods that penalize the lp-norm of differences of ...
openaire +3 more sources
Bioorthogonal chemistry was applied to intracellularly photoactivate Doxorubicin (Dox) using gold nanostars (AuNSt) and near‐infrared (NIR) light. Two prodrugs were used: one photoactivatable, masked with 2‐nitrobenzyl carbamate (proDox1) and another photolabile, masked with 2‐nitrobenzyl diol (proDox2), which was attached to the AuNSt surface.
Juan José Esteve‐Moreno +15 more
wiley +1 more source
Adaptive blocked Gibbs sampling for inference in probabilistic graphical models
Inference is a central problem in probabilistic graphical models, and is often the main sub-step in probabilistic learning procedures. Thus, accurate inference algorithms are essential to both answer queries on a learned model, as well as to learn a ...
Venugopal, Deepak +5 more
core +1 more source
A Cluster Graph Approach to Land Cover Classification Boosting
When it comes to land cover classification, the process of deriving the land classes is complex due to possible errors in algorithms, spatio-temporal heterogeneity of the Earth observation data, variation in availability and quality of reference data, or
Lloyd Haydn Hughes +3 more
doaj +1 more source
Prediction of short-term antidepressant response using probabilistic graphical models with replication across multiple drugs and treatment settings. [PDF]
Athreya AP +16 more
europepmc +1 more source
POM‐Based Water Splitting Catalyst Under Acid Conditions Driven by Its Assembly on Carbon Nanotubes
A newly‐engineered POM‐based electrocatalyst incorporating non‐innocent counter cations exhibits fast kinetics for either the OER or HER under strongly acidic conditions (1 m H2SO4), depending on whether it is assembled on carbon nanotubes (1@CNT) or physically mixed with them (1/CNT). In water‐splitting tests using a two‐electrode setup, these systems
Eugenia P. Quirós‐Díez +8 more
wiley +1 more source
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source

