Results 141 to 150 of about 65,328 (289)
Single‐cell and spatial profiling of 110 human thoracic aortic samples reveals a stromal–immune circuit driving aortic dissection. An elastin‐rich fibroblast subset is depleted with age and markedly reduced in disease, weakening aortic wall integrity.
Jing Tao +25 more
wiley +1 more source
Stage‐Specific H3K14 and H3K23 Succinylation Orchestrates Insect Metamorphosis and Oogenesis
Stage‐specific succinylation of histone H3 at lysine 14 and 23 differentially controls insect metamorphosis and oogenesis through distinct GPCR‐PKC signaling cascades, revealing an evolutionarily conserved epigenetic mechanism that coordinates key life‐history traits.
Yu‐Pu Jing +9 more
wiley +1 more source
On the Risk of Ruin in a SIS Type Epidemic. [PDF]
Lefèvre C, Simon M.
europepmc +1 more source
Metastable superstructure and emergent spin fluctuation in self‐intercalated Cr1+xTe2${\rm Cr}_{1+x}{\rm Te}_2$ ABSTRACT Intercalated van der Waals (vdW) magnetic materials host unique magnetic properties due to the interplay of competing interlayer and intralayer exchange couplings, which depend on the intercalant concentration within the van der ...
Clayton Conner +15 more
wiley +1 more source
On The Randomized Schmitter Problem. [PDF]
Albrecher H, Araujo-Acuna JC.
europepmc +1 more source
Ferroelectric HfO2/ZrO2 Superlattice Capacitors With High Center to Edge Wafer‐Scale Uniformity
“Enhanced wafer‐scale device uniformity on 150 mm wafers is demonstrated using ferroelectric superlattice HfO2/ZrO2 (HZO) capacitors, as compared to conventional solid solution HZO capacitors. Superlattice HZO exhibits improved ferroelectric memory properties, including a broader polarization window, greater endurance, reduced leakage, and superior ...
Oscar Kaatranen +4 more
wiley +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
In‐Sensor Computing by Soft Threshold Logic Gates Under Different Humidity Conditions
Soft nanocomposite materials, based on gold cluster‐assembled thin films implanted in polydimethylsiloxane substrate, can perform reliable processing in ambient environmental conditions. Humidity influences the resistive switching and computational capabilities of the nanocomposites, that can be used as multifunctional material combining sensing ...
Giacomo Nadalini +2 more
wiley +1 more source
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source
ON DAVIDSON'S PROBLEM IN THE COLLECTIVE RISK THEORY
In this paper Davidson's classic problem concerning the solution of an integrodifferential equation regarding the collective risk theory with the aim of examining the probability of the failure of an insurance company is further analysed. The validity of
Elena Cardona
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