Results 171 to 180 of about 8,884,990 (247)

Generalized linear fractional programming under interval uncertainty

open access: yes
Data in many real-life engineering and economical problems suffer from inexactness. Herein we assume that we are given some intervals in which the data can simultaneously and independently perturb.
Hladík, Milan
core  

Continuous Evolution System Based on Toxin–Antitoxin System Combined with Base Deaminase Accelerates the In Vivo Modification of Target Proteins

open access: yesAdvanced Science, EarlyView.
The promoted Escherichia coli‐assisted continuous evolution (PEACE) system operates through a stringent three step genetic circuit: target gene mutation via a deaminase–T7 RNA polymerase (T7 RNAP) fusion, coupling variant function to antitoxin expression, and growth based selection of surviving cells.
Xinyu Zhang   +10 more
wiley   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi   +7 more
wiley   +1 more source

A Robotic Testing Platform for Pipelined Discovery of Resilient Dielectric Elastomer Actuators

open access: yesAdvanced Science, EarlyView.
This work introduces a robotic testing platform enabling high‐throughput, multi‐parameter lifetime mapping of linear dielectric elastomer actuators (DEAs). By integrating programmable high‐voltage control and automated electromechanical measurements, the system identifies material and operating conditions that double actuator lifetime.
Ang (Leo) Li   +10 more
wiley   +1 more source

Trustworthy Multimodal Attention Framework for Creep Rupture Life Prediction Under Data‐Scarce Conditions: A Case Study on IN718

open access: yesAdvanced Science, EarlyView.
An attention‐based multimodal deep learning framework is developed to predict the creep life of Ni‐based superalloys by fusing processing parameters with microstructural micrographs. The model achieves high accuracy (R2 = 0.92), aligns with metallurgical principles by capturing δ‐phase influence, and incorporates uncertainty quantification, offering a ...
Haopeng Lv   +10 more
wiley   +1 more source

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