Results 141 to 150 of about 156,386 (347)
Through self‐supervised pretraining and supervised fine‐tuning on large‐scale cytology image datasets, CytoNet predicts lymph node metastasis and survival. Across independent cohorts, this multitask framework demonstrates robust performance, improves risk stratification beyond radiological assessment, and provides interpretable evidence to support ...
Guibin Hong +14 more
wiley +1 more source
Separating k-separated eNCE graph languages
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Changwook Kim, Dong Hoon Lee 0001
openaire +2 more sources
Separability and aggregation of equivalence relations [PDF]
We provide axiomatic characterizations of two natural families of rules for aggregating equivalence relations: the family of join aggregators and the family of meet aggregators.
Marchant, Thierry +5 more
core +1 more source
An antiferroelectric tunnel junction serves as a reservoir computing node, where field‐induced phase transitions and spontaneous ZrO2 relaxation deliver nonlinear fading memory. An In‐Ga‐Zn oxide interlayer enlarges the memory margin and multibit state richness.
Taegyu Kwon +13 more
wiley +1 more source
CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model
In this work, CoSP (contrastive multi‐state pretrain), an intelligent inverse design method for reconfigurable metamaterials based on a contrastive pretrained large language model, is proposed. Numerical experiments demonstrate that CoSP can design reconfigurable metamaterial structures for multi‐state, multi‐band optical responses, showing great ...
Shujie Yang +4 more
wiley +1 more source
Evaluation of the empirical performance of two-stage budgeting AIDS, QUAIDS and Rotterdam models based on weak separability [PDF]
Microsimulation models for indirect taxation require detailed underlying demand systems, in order to be policy relevant. A possible solution for the econometric problem (lack of necessary degrees of freedom) is the separability concept and the closely ...
André Decoster, Frederic Vermeulen
core
Performance Estimation and Ex Vivo Validation of Untethered Magnetic Robots in Soft Tissue
This study presents an empirical model that quantitatively predicts the step‐out frequency of screw‐type untethered magnetic robots (UMRs) in soft viscoelastic environments, including ex vivo brain tissue. By integrating key parameters into a dimensionless framework, the model enables estimation of robot performance across a range of biological ...
Leendert‐Jan W. Ligtenberg +19 more
wiley +1 more source
A conformal ALD‐IGZO vertical RRAM integrates volatile and nonvolatile switching within a compact 2F architecture. Before forming, tunable volatile dynamics provide fading‐memory reservoir states, while after forming, stable multilevel conductance modulation enables hardware readout.
Seeun Lee +6 more
wiley +1 more source
Tissue incision induces CXCL5 release, which activates neuronal CXCR2 on incision‐innervating sensory neurons. Neuronal CXCR2 couples with TRPA1 to drive mechanical pain and engages p38 MAPK signaling to upregulate TRPV1 and promote heat pain. Targeted Cxcr2 knockdown relieves incisional pain while preserving CXCR2‐dependent neutrophil responses ...
Yushuang Pan +10 more
wiley +1 more source
Neuromorphic Devices and Computing for Sensing, Memory, and Control
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu +2 more
wiley +1 more source

