Results 21 to 30 of about 99,331 (266)
Memristor-based storage system with convolutional autoencoder-based image compression network
The exponential growth of various complex images is putting tremendous pressure on storage systems. Here, we propose a memristor-based storage system with an integrated near-storage in-memory computing-based convolutional autoencoder compression network ...
Yulin Feng +6 more
doaj +1 more source
This review summarizes the transcription factors, repressive chromatin‐modifying complexes, and epigenetic mechanisms that control fetal hemoglobin repression. Notably, many regulators of γ‐globin silencing also function in transcriptional and epigenetic networks that drive cancer, highlighting opportunities to translate advances in hemoglobinopathy ...
Meigen Yu +3 more
wiley +1 more source
High-frequency supercapacitors surpassing dynamic limit of electrical double layer effects
The prosperity of microelectronics has intensified the requirement for miniaturized power systems using capacitors with high capacity and broad frequency ranges.
Zhangshanhao Li +8 more
doaj +1 more source
Acquisition of Semantics for AI-based Applications in Medical Technologies
For the development, training, and validation of AIbased procedures, such as the analysis of clinical data, prediction of critical events, or planning of healthcare procedures, a lot of data is needed.
Wittenberg Thomas +6 more
doaj +1 more source
ADP‐ribosylation: An emerging regulator of the epigenome
ADP‐ribosylation has emerged as a dynamic epigenetic signaling mechanism that modifies histones and chromatin‐associated proteins. Through coordinated PARylation and MARylation, it integrates with other histone modifications to regulate chromatin structure, transcription factor activity, and gene expression, influencing genome function and disease ...
Cristel V. Camacho +2 more
wiley +1 more source
A FPGA Accelerator of Distributed A3C Algorithm with Optimal Resource Deployment
The asynchronous advantage actor-critic (A3C) algorithm is widely regarded as one of the most effective and powerful algorithms among various deep reinforcement learning algorithms.
Fen Ge, Guohui Zhang, Ziyu Li, Fang Zhou
doaj +1 more source
Electrical switching of spin-polarized current in multiferroic tunneling junctions
The generation and manipulation of spin-polarized current are critical for spintronic devices. In this work, we propose a mechanism to generate and switch spin-polarized current by an electric field in multiferroic tunnel junctions (MFTJs), with ...
Ligong Zhang +3 more
doaj +1 more source
Acute caffeine treatment protects the developing retina from ischemia‐induced cell death
Caffeine reduces cell death in the developing retina under ischemia (OGD). This effect does not involve BDNF upregulation or antioxidant pathways (NRF2/VEGF). Neuroprotection occurs mainly through adenosine A2A receptor antagonism, decreasing glutamate release and excitotoxicity, highlighting caffeine's potential as an acute neuroprotective agent in ...
Amanda Alves Nascimento +6 more
wiley +1 more source
Versatile vector tools for efficient protein screening across multiple expression systems
A unified vector toolkit enables rapid protein expression screening across E. coli, insect, and mammalian cells. A single primer pair amplifies the target gene, which is inserted into any vector via a standardized interface. This streamlined workflow eliminates repeated cloning steps, accelerating the identification of optimal expression conditions for
Zhimin Zhu +5 more
wiley +1 more source
High-concurrency tri-mode memristor-based ordinary differential equation solver
Ordinary differential equations (ODEs) are widely used in science, engineering, and mathematics, but their numerical solution on traditional Von Neumann hardware is time- and energy-consuming, especially for high-order ODEs.
Lianfeng Yu +12 more
doaj +1 more source

