Results 211 to 220 of about 11,008,598 (301)

Deadbeat Control for Linear Systems with Input Constraints

open access: yesIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2009
Dane Baang, Dongkyoung Chwa
openaire   +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

DEADBEAT CONTROL, POLE PLACEMENT, AND LQ REGULATION [PDF]

open access: yesTheory and Practice of Control and Systems, 1999
openaire   +2 more sources

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

open access: yesAdvanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao   +6 more
wiley   +1 more source

Genome‐Wide and Multi‐Omics Analysis Identified DNA‐Interacting Circular RNA circFOXK2 as MLL1 Regulator for Histone H3K4 Methylation in Pancreatic Ductal Adenocarcinoma

open access: yesAdvanced Science, EarlyView.
Circular RNA circFOXK2 is frequently upregulated in pancreatic ductal adenocarcinoma to promote tumor heterogeneity, growth, and metastasis. Through circRNA‐DNA interaction at different genomic locations, circFOXK2 removes the PPIE inhibitory effects on MLL1 for gene‐activating H3K4 methylation of the oncogenes.
Chi Hin Wong   +5 more
wiley   +1 more source

Computationally Evidence‐Grounded Sequence‐First Design of Peptide Binders

open access: yesAdvanced Science, EarlyView.
BOND‐PEP enables controllable, sequence‐first peptide binder design by grounding generation in binding evidence retrieved for each target. It uses topology‐conditioned message passing to integrate relevant peptide examples with the target protein sequence, forming a residue‐level representation that guides the generation of diverse, target‐specific ...
Wenze Ding
wiley   +1 more source

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