Results 191 to 200 of about 46,171 (307)

Traffic Sign Recognition System for Imbalanced Dataset [PDF]

open access: yesJournal of Computers, 2017
Yildiz Aydin   +2 more
openaire   +3 more sources

A Chirality‐Converted Bacteriolytic Dodecapeptide Regulates Vibrio‐Induced Polymicrobial Infection and Ameliorates Invasion‐Associated Gut Microbiota Disequilibrium

open access: yesAdvanced Science, EarlyView.
Multidrug‐resistant Vibrio infections are rising rapidly and threaten coastal populations worldwide. This study introduces D‐zp37, a chirality‐engineered antimicrobial peptide with exceptional potency against resistant Vibrio species. D‐zp37 kills planktonic cells, blocks mixed‐species biofilms, disrupts essential bacterial stress responses, and shows ...
Ping Zeng   +11 more
wiley   +1 more source

Metabolic Imbalance Triggers Adaptive Remodeling to Accelerate Diploidization in Murine Haploid Embryonic Stem Cells

open access: yesAdvanced Science, EarlyView.
In this article, Shuai and colleagues demonstrate that metabolic remodeling drives self‐diploidization in murine haploid ESCs (haESCs). Mitochondrial dysfunction and imbalanced pyruvate metabolism underlie this process. Genome‐wide screening using haESCs identifies key mitochondrial quality‐control related genes, enabling a metabolism‐based medium that
Yi Fu   +11 more
wiley   +1 more source

Design of a Clinical Decision Support System for Fracture Prediction Using Imbalanced Dataset. [PDF]

open access: yesJ Healthc Eng, 2018
Chen YF   +6 more
europepmc   +1 more source

Personalized Network‐Guided Neuromodulation Enhances Human Working Memory

open access: yesAdvanced Science, EarlyView.
A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan   +13 more
wiley   +1 more source

Generative AI‐Driven Accelerated Discovery of Passivation Molecules for Perovskite Solar Cells

open access: yesAdvanced Science, EarlyView.
A generative artificial intelligence (AI) framework combining a discriminative machine learning model (SMILES‐X) and a generative language model (GPT‐2) autonomously discovers new molecular passivators for perovskite solar cells (PSCs). Through an iterative design loop, over 100 000 candidates are generated and screened, and randomly selected molecules
Adroit T. N. Fajar   +7 more
wiley   +1 more source

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