Results 141 to 150 of about 1,612,573 (290)
Model checking quantum protocols [PDF]
This thesis describes model checking techniques for protocols arising in quantum information theory and quantum cryptography. We discuss the theory and implementation of a practical model checker, QMC, for quantum protocols. In our framework, we assume
Papanikolaou, Nikolaos K.
core
Stable Neural Signal Recording Processed by Memristor‐Based Reservoir Computing System
This work introduces a memristor‐based reservoir computing (RC) system for real‐time, energy‐efficient processing of neural signals in brain‐machine interface (BMI). Combined with flexible mesh neural probes with tissue‐like flexibility and subcellular‐scale features that enable consistent, long‐term tracking of single‐cell neural activities, the ...
Soohyeon Kim +10 more
wiley +1 more source
Neuromorphic Denoising with Fully Analog Memristive In‐Memory Computing
This article borrows the concepts of episodic memory in human brains to experimentally implement a memristor‐based neuromorphic denoising process. A homogeneous memristor processing unit is experimentally demonstrated for both temporal storage and neural network computation, imitating the synapses in the human brain.
Daijing Shi +5 more
wiley +1 more source
Xstainer: A Novel Virtual Staining Tool Powered by Advanced Deep Learning Techniques
Xstainer is a deep learning–based virtual staining framework that converts hematoxylin and eosin‐stained whole slide images into multiple histochemical stains, including Masson's trichrome, Periodic acid‐Schiff, Jones methenamine silver, and Toluidine blue.
Fatma Nur Kinali +15 more
wiley +1 more source
We prepared five glycosylated liposomal nanoparticles (G‐LNPs) to investigate the role of glycosylation and protein corona in modulating the in vivo behavior of G‐LNPs. We show that IgG and complement C3 adsorption enhanced liposomal nanoparticle clearance, with IgG promoting subsequent C3 binding.
Yingjie Yu +18 more
wiley +2 more sources
Single‐cell Spatial Transcriptomics Analysis and Denoising Engine is introduced as a unified deep learning framework that jointly performs denoising, clustering, and gene prioritization in spatial transcriptomics. By integrating linear and nonlinear representations within a dual‐channel architecture, it improves robustness and accuracy, uncovers ...
Yaxuan Cui +11 more
wiley +1 more source
Incorporation of N‐based onium ions into the ionic framework of poly(heptazine imide) was obtained via protonation‐deprotonation of PHI frameworks arising from a parent Na‐containing analogue. Particularly, methylammonium moieties, through their small molecular size, hydrogen bonding capabilities and rotational mobility, appear to stabilize ...
Dingqiao Ji +6 more
wiley +2 more sources
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
Cyclopropene fatty acids have been made that allow the study of fatty acid uptake in complex mixtures of immune cells with single cell resolution and combined with metabolic and proteomic analysis so that for the first time nutrient uptake can be correlated to the phenotype of single immune cell.
Luuk Reinalda +14 more
wiley +2 more sources
ABSTRACT Diamond–Blackfan Anemia Syndrome (DBAS) is a rare congenital anemia often requiring chronic red blood cell transfusions from infancy. Without appropriate chelation, iron overload develops early and may be severe; however, no data are available on chelation in patients under 3 years of age.
Francesca Torchio +19 more
wiley +1 more source

