Results 71 to 80 of about 190,317 (312)

Mechanism‐Driven Screening of Membrane‐Targeting and Pore‐Forming Antimicrobial Peptides

open access: yesAdvanced Science, EarlyView.
To combat antibiotic resistance, this study employs mechanism‐driven screening with machine learning to identify pore‐forming antimicrobial peptides from amphibian and human metaproteomes. Seven peptides are validated, showing minimal toxicity and membrane disruption.
Jiaxuan Li   +9 more
wiley   +1 more source

Multi‐Tissue Genetic Regulation of RNA Editing in Pigs

open access: yesAdvanced Science, EarlyView.
This study presents the first multi‐tissue map of RNA editing and its genetic regulation in pigs. By integrating RNA editing profiles, edQTL mapping, GWAS, and cross‐species comparisons, this work establishes RNA editing as a distinct regulatory layer linking genetic variation to complex traits, highlighting its functional and evolutionary significance.
Xiangchun Pan   +21 more
wiley   +1 more source

Spatiotemporal Differentiation and Evolution Pattern of Digital Twin Urban Construction Potential from the Perspective of New Infrastructure

open access: yesRedai dili
Advancing digital-twin city development through new infrastructure and promoting the upgrading and transformation of smart cities is critical for building new competitive advantages for cities and is an inevitable requirement for modernizing urban ...
Wang Qinsheng, Wang Ningning, Ren Yutong
doaj   +1 more source

Impact of Human Error Modeling on Failure Rate and Optimum Routine Test Interval of Protection System

open access: yesIranian Journal of Electrical and Electronic Engineering, 2021
Power systems should have acceptable reliability in order to operate properly. Highly available and dependable protective relays help to obtain the desirable reliability.
A. Mirsamadi, Y. Damchi, M. Assili
doaj  

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Logical Hidden Markov Models

open access: yesJournal of Artificial Intelligence Research, 2006
Logical hidden Markov models (LOHMMs) upgrade traditional hidden Markov models to deal with sequences of structured symbols in the form of logical atoms, rather than flat characters. This note formally introduces LOHMMs and presents solutions to the three central inference problems for LOHMMs: evaluation, most likely hidden state sequence and ...
Kersting, K., De Raedt, Luc, Raiko, T.
openaire   +3 more sources

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla   +4 more
wiley   +1 more source

Role of individual component failure in the performance of a 1-out-of-3 cold standby system: A Markov model approach

open access: yesOpen Engineering
The current work assesses the availability and reliability of repairable 1-out-of-3 cold standby systems, undergoing switching failure, by the Markov models, where a finite set of differential equations govern the repairable system.
Hindi Layla, Asker Hussein K.
doaj   +1 more source

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