Results 71 to 80 of about 1,442,152 (332)

De Novo Design and Directed Evolution Refinement of Mirror‐Image Protein Binders Targeting Interleukin‐4

Advanced Science, EarlyView.
This study presents the de novo design and directed evolution of a mirror‐image D‐protein inhibitor targeting human interleukin‐4 (IL‐4). The engineered molecule exhibits nanomolar binding affinity for IL‐4 and effectively inhibits IL‐4–mediated signaling.
Liqing Xu, Yuxiang Ren, Tongyue Wang, Hongyong Li, Yue Yao, Lei Liu, Ke Sun, Peilong Lu   +7 more
wiley   +1 more source

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain

Advanced Science, EarlyView.
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio, Tommaso Gili, Andrea Gabrielli, Maurizio Mattia   +3 more
wiley   +1 more source

Corals and Reef‐Dwelling Fish Regulate Carbon Storage and Cycling Processes in Coral Reef Ecosystems

Advanced Science, EarlyView.
Coral reefs are biodiversity hotspots, yet their role in carbon storage and cycling remains poorly understood. Using field surveys and modeling in the South China Sea, we reveal the overlooked potential of carbon storage in reef ecosystems and how reef fish, corals, and surface sediment jointly shape reef carbon reservoirs.
Yiting Chen, Wenliang Zhou, Lan Qiu, Han Lai, Mingpan Huang, Qian Li, Wen Yu, Pei‐Yuan Qian, Fuwen Wei   +8 more
wiley   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Bifurcation and Dynamics Analysis of a Piecewise-Linear van der Pol Equation

Axioms
In this study, we examine the bifurcations and dynamics of a piecewise linear van der Pol equation—a model that captures self-sustained oscillations and is applied in various scientific disciplines, including electronics, neuroscience, biology, and ...
Wenke Li, Nanbin Cao, Xia Liu
doaj   +1 more source

Tau functions in combinatorial Bethe ansatz

, 2006
We introduce ultradiscrete tau functions associated with rigged configurations for A^{(1)}_n. They satisfy an ultradiscrete version of the Hirota bilinear equation and play a role analogous to a corner transfer matrix for the box-ball system.
Andrews, Atsuo Kuniba, Baxter, Berkovich, Bethe, Birman, Dasmahapatra, Date, Date, Deka, Feigin, Foda, Fukuda, Gaudin, Hatayama, Hatayama, Hatayama, Hatayama, Hatayama, Jimbo, Kang, Kashiwara, Kerov, Kirillov, Kirillov, Korepin, Kuniba, Kuniba, Macdonald, Nakayashiki, Okado, Reiho Sakamoto, Sato, Schilling, Schilling, Schultz, Takahashi, Takahashi, Tokihiro, Warnaar, Yamada, Yasuhiko Yamada   +41 more
core   +3 more sources

Toward Prostate Cancer Early Warning with a Self‐Powered Wearable Biosensing Platform Integrated with Machine Learning

Advanced Science, EarlyView.
ABSTRACT Current prostate cancer detection methods remain limited in non‐invasiveness and specificity, prompting interest in urinary biomarkers such as sarcosine. Here, we report a urine‐powered wearable platform for non‐invasive sarcosine detection as a proof‐of‐concept for decentralized early warning.
Jing Xu, Hanxiao Chen, Qichen Yuan, Liucun Yin, Yifang Tao, Hong Wang, Yuquan Xue, Delai Fu, Huan Pang, Tie Chong, Li Xue   +10 more
wiley   +1 more source

A comparative study between Piecewise-Linear and Point-Based methodologies for galvanometer mirror systems

Revista Facultad de Ingeniería Universidad de Antioquia, 2014
Galvanometer mirror systems are a fundamental tool used in many research fields to deploy curves over virtually any surface. Even though the point-based methodology is the current standard used to achieve this task, it has the shortcoming of using a ...
Victor Manuel Jiménez-Fernández, Héctor H. Cerecedo-Núñez, Patricia Padilla-Sosa, Luis Beltrán-Parrazal, Hector Vazquez-Leal, Uriel Filobello-Niño   +5 more
doaj   +1 more source

Stabilization and L₂– Gain Performance of Periodic Piecewise Impulsive Linear Systems

IEEE Access, 2020
This paper deals with the stability, stabilization and L2- gain problem of periodic piecewise impulsive linear system. Firstly, by developing a new Lyapunov function called multiple piecewise time-varying Lyapunov function, a sufficient condition that ...
Yongzhuang Liu, Yang Song, Haibo Qu, Zhi Chen   +3 more
doaj   +1 more source

Bode Plots Revisited: a Software System for Automated Generation of Piecewise Linear Frequency Response Plots [PDF]

Electronics, 2017
The paper presents an algorithm for automatic generation of piecewise linear Bode plots. The algorithm is complete in the sense it covers for all posible locations of poles and zeros of transfer functions, including unstable poles and poles and zeroes at
Predrag Pejović, Amela Zeković
doaj   +1 more source