Results 201 to 210 of about 281,237 (323)

A smile [PDF]

open access: bronze, 2003
Nathaniel H. Robin
openalex   +1 more source

Anti‐Inflammatory, Antioxidant, Molecular Docking and Pharmacokinetics Properties of Cycloeucalenone Isolated From Musa × paradisiaca L. Fruit Peels

open access: yesChemistry &Biodiversity, EarlyView.
ABSTRACT This study isolated a compound with anti‐inflammatory properties from Musa × paradisiaca fruit peels. The methanol extract was partitioned, and the hexane fraction with the best bioactivity was subjected to column chromatography before characterization via Fourier transform infrared (FTIR), UV–visible (UV–VIS) and NMR analysis.
Ibeabuchi J. Ali   +7 more
wiley   +1 more source

Smiling doctor, satisfied patient-the impact of facial expressions on doctor-patient interactions. [PDF]

open access: yesFront Med (Lausanne)
Schneider P   +8 more
europepmc   +1 more source

Beauty in a smile: the role of medial orbitofrontal cortex in facial attractiveness [PDF]

open access: green, 2003
John P. O’Doherty   +5 more
openalex   +1 more source

Finding Drug Candidate Hits With A Hundred Samples: Ultralow Data Screening With Active Learning

open access: yesChemistryEurope, EarlyView.
Ultra‐low‐data hit discovery becomes practical: starting from randomly selected binders, an active‐learning loop selects only 110 molecules from a 100 k library and have a 100% probability of finding 5 or more top‐1% compounds. Noise tests and alternate libraries confirm robustness, enabling single‐researcher campaigns on smaller budgets.
Jacob M. Nielsen   +6 more
wiley   +1 more source

Synchronous Smiles and Hearts: Dyadic Meditations Enhance Closeness and Prosocial Behavior in Virtual and In-Person Settings. [PDF]

open access: yesMindfulness (N Y)
Ludwig VU   +8 more
europepmc   +1 more source

MLPROP – An Interactive Web Interface for Thermophysical Property Prediction with Machine Learning

open access: yesChemie Ingenieur Technik, EarlyView.
MLPROP is an open‐access, web‐based interface for predicting thermophysical properties of pure substances and mixtures by machine learning models. Integrating GRAPPA, UNIFAC 2.0, mod. UNIFAC 2.0, and HANNA, it enables accurate and accessible predictions of vapor pressures, activity coefficients, and vapor‐liquid equilibria without requiring users to ...
Marco Hoffmann   +4 more
wiley   +1 more source

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