Results 141 to 150 of about 1,345,772 (312)

Signal Processing Methods to Enhance the Energy Efficiency of In-Memory Computing Architectures [PDF]

, 2021
Charbel Sakr, Naresh R. Shanbhag
openalex   +1 more source

Establishment and biological characterization of radioresistant colorectal cancer cell lines

FEBS Open Bio, EarlyView.
Under ionizing radiation exposure, radiation‐sensitive cancer cells exhibit oxidative stress and DNA damage, while radiation‐resistant cancer cells exhibit strong antioxidant properties and DNA damage repair. Radiotherapy resistance is a major cause of recurrence and metastasis in colorectal cancer (CRC).
Tian‐Yin Qu, Qing Dai, Jing Leng, Lin Fang, Jing‐Jing Ma, Rui Chen, Che Chen, Peng‐Fei Ran, Wen‐Wen Zhou, Chang Liu, Huang‐Fei Yu   +10 more
wiley   +1 more source

Features and application of seismic-while-excavating signals during TBM excavation in coal mine rock roadways

Gong-kuang zidonghua
The advanced seismic-while-excavating detection technology can achieve parallel exploration and excavation, providing the possibility of real-time and accurate geological support in the scenario of rapid and intelligent excavation of roadways.
DANG Baoquan, GUO Liquan, ZHANG Yanxi, REN Yongle, LI Shenglin   +4 more
doaj   +1 more source

An enzyme‐linked immunosorbent assay (ELISA)‐based activity assay for AMP‐activated protein kinase (AMPK)

FEBS Open Bio, EarlyView.
Measuring AMP‐activated protein kinase (AMPK) activity in vitro is crucial for testing AMPK activators or inhibitors with therapeutic potential. Here, we report an enzyme‐linked immunosorbent assay (ELISA)‐based AMPK activity assay with simple steps and high sensitivity, which offers a simple, robust, and cost‐effective alternative to traditional ...
Trezze P. Nguyen, Shangze Lyu, Yang Liu
wiley   +1 more source

Evolution of compressed sensing theory and dynamic electric energy measurement method

Diance yu yibiao
This paper expounds the evolution process of compressed sensing signal sparse model, measurement matrix construction, reconstruction algorithm design, compressed measurement and compressed sensing hardware signal processing system, and puts forward that ...
WU Wenqian, WANG Xuewei
doaj   +1 more source

An application specific signal processor for gaseous detector systems in high energy physics experiment. [PDF]

, 2021
Bruno Sanches
openalex   +1 more source

Bioengineering facets of the tumor microenvironment in 3D tumor models: insights into cellular, biophysical and biochemical interactions

FEBS Open Bio, EarlyView.
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik, Deniz Bakkalci, Alexander J. MacRobert, Umber Cheema   +3 more
wiley   +1 more source

Digital signal processing algorithms for energy dispersive x-rays detectors [PDF]

, 2022
Sarmad Adeel, Martin Tolkiehn
openalex   +1 more source

Adenosine A3 receptor antagonists as anti‐tumor treatment in human prostate cancer: an in vitro study

FEBS Open Bio, EarlyView.
The A3 adenosine receptors (A3ARs) are overexpressed in prostate cancer. AR 292 and AR 357, as A3AR antagonists, are capable of blocking proliferation, modulating the expression of drug transporter genes involved in chemoresistance, ferroptosis, and the hypoxia response, and inducing cell death.
Maria Beatrice Morelli, Andrea Spinaci, Cui Chang, Rosaria Volpini, Catia Lambertucci, Matteo Landriscina, Vincenza Conteduca, Consuelo Amantini, Cristina Aguzzi, Laura Zeppa, Martina Giangrossi, Laura Soverchia, Matteo Santoni, Massimo Nabissi, Giorgio Santoni, Carlo Polidori   +15 more
wiley   +1 more source

On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach [PDF]

arXiv
Recent advancements in sensing, measurement, and computing technologies have significantly expanded the potential for signal-based applications, leveraging the synergy between signal processing and Machine Learning (ML) to improve both performance and reliability.
arxiv