Results 51 to 60 of about 1,379 (241)

Affine arithmetic‐based power flow algorithm considering uncertainty for hybrid AC/DC grids incorporating VSCs

IET Generation, Transmission & Distribution, 2019
The randomness of new energy generation and variation in load demands bring uncertainty to large AC/DC grids. Traditional deterministic power flow equations have difficulty coping with the uncertainties of new energy generation and load.
Fang Lu, Pingjing Du, Hongda Liu, Fanming Liu   +3 more
doaj   +1 more source

In Vivo CRISPR Screening Identifies the Glutamate Receptor GRIA2 as Promoting Peritoneal Metastasis of Gastric Cancer via Calcium‐Dependent β‐Catenin Activation

Advanced Science, EarlyView.
We identified GRIA2 as a critical driver of gastric cancer peritoneal metastasis through in vivo CRISPR screening. Mechanistically, GRIA2‐mediated calcium influx inhibits GSK3β and activates Wnt/β‐catenin signaling, driven by glutamate from cancer‐associated fibroblasts.
Jie Sun, Xu Yang, Wenchao Jiang, Chengbo Ji, Yingying Wu, Haoyu Sun, Xinyou Liu, Masami Yamamoto, Tetsuya Tsukamoto, Sachiyo Nomura, Junjie Zhao, Yuanyuan Ruan, Haojie Li, Xuefei Wang   +13 more
wiley   +1 more source

Rapid and Direct Detection of Methamphetamine in Biofluids using a MXene‐Enabled Electrochemical Sensor

Advanced Science, EarlyView.
A MXene‐enhanced electrochemical sensor enables the rapid and direct detection of methamphetamine. Molecular simulations reveal that specific MXene surface functional groups act as key signal amplifiers by facilitating interfacial interactions. The sensor demonstrates high sensitivity and robust performance in complex biological matrices.
Ri Wang, Xiaofei Deng, Bo Chen, Jienan Shen, Wei Xu, Yingjie Zhu, Yi Zhang, Hui Yang   +7 more
wiley   +1 more source

Learning Covariate Relations in Disease Progression Models Using Symbolic Neural Networks. [PDF]

CPT Pharmacometrics Syst Pharmacol
ABSTRACT Covariate modeling provides individual predictions of outcomes by disease progression models. Current methodology for mapping covariates onto model parameters is limited by predefined parametric functions which can result in inadequate covariate selection and biased predictions by the final model. Furthermore, present methodology scales poorly
Sundell J, Wahlquist Y, Kjellsson MC, Karlsson MO, Soltesz K.   +4 more
europepmc   +2 more sources

Reliable computation of equilibrium cascades with affine arithmetic [PDF]

AIChE Journal, 2008
AbstractComputing the steady state of multistage counter‐current processes like distillation, extraction, or absorption is the equivalent to finding solutions for large‐scale nonlinear equation systems. The conventional solution techniques are fast and efficient if a good estimation is available, but are prone to fail, and do not provide information ...
Ali Baharev, Endre Rév
openaire   +1 more source

Modulating Persistent Photoconductivity through Barrier Engineering for High‐performance and Multifunctional Two‐dimensional Optoelectronic Devices

Advanced Science, EarlyView.
Schottky barrier engineering using van der Waals contacts enables effective modulation of persistent photoconductivity (PPC) in optoelectronic devices. A high persistent photoconductivity gain (PPCG) (307.6%) is achieved in a high‐barrier Au/MoS2 junction, supporting photomemory and optoelectronic synaptic behaviors. A low PPCG (4.72%) is achieved in a
Panpan Huo, Xinhao Zhang, Xiangyong Cui, Yeming Wang, Dong Zhou, Baoyuan Man, Il Jeon, Won Jong Yoo, Cheng Yang   +8 more
wiley   +1 more source

New lower bounds for cardinalities of higher dimensional difference sets and sumsets

Discrete Analysis, 2022
New lower bounds for cardinalities of higher dimensional difference sets and sumsets, Discrete Analysis 2022:15, 19 pp. Let $A$ be a finite subset of an Abelian group $G$.
Akshat Mudgal
doaj   +1 more source

New Extension of Affine Arithmetic: Complex Form

Journal of Communications and Computer Engineering, 2012
In this paper we present the new complex form for affine arithmetic (AA) which is a self-verifying computational approach that keeps track of first-order correlation between uncertainties in the data and intermediate and final results. In this paper we propose a higher-order extension satisfying the requirements of genericity, arbitrary-order and self ...
Ahmed Elaraby Ahmed, Hassan El-Owny
openaire   +1 more source

Predicting High‐Resolution Spatial and Spectral Features in Mass Spectrometry Imaging with Machine Learning and Multimodal Data Fusion

Advanced Intelligent Discovery, EarlyView.
A multimodal fusion pipeline predicts high‐resolution ion distributions in imaging mass spectrometry by integrating Fourier transform ion cyclotron resonance, time‐of‐flight matrix‐assisted laser desorption/ionization, and time‐of‐flight secondary ion mass spectrometry data.
Md Inzamam Ul Haque, Ramakrishnan Kannan, Jacob D. Hinkle, Sylwia A. Stopka, Anton V. Ievlev, Nathalie Y. R. Agar, Olga S. Ovchinnikova, Debangshu Mukherjee   +7 more
wiley   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source