Results 91 to 100 of about 49,138 (261)

A Smart Fluid‐Hydraulic System Based on MRF Valve Control and Its Application in Flexible Grasping

Advanced Science, EarlyView.
This study introduces a smart fluid hydraulic system using MRF valve control for flexible gripping. An MRF‐MSV with an integrated excitation coil and micro‐textured damping channels is designed and validated; micro‐texturing increases hydraulic resistance. Coupled with a soft actuator, the MRF‐MSV enables dynamic bending and grasping.
Linfeng Huo, Hui Ji, Ruidong Hong, Songlin Nie, Fanglong Yin, Zhonghai Ma   +5 more
wiley   +1 more source

Polynomial Time Algorithms for Dual Volume Sampling

, 2017
We study dual volume sampling, a method for selecting k columns from an n x m short and wide matrix (n <= k <= m) such that the probability of selection is proportional to the volume spanned by the rows of the induced submatrix. This method was proposed by Avron and Boutsidis (2013), who showed it to be a promising method for column subset ...
Li, C, Jegelka, S, Sra, S
openaire   +4 more sources

Frequent Sweetened Beverage Consumption Is Associated With Accelerated Biological Aging: Evidence From a Population‐Based Study and Gut Microbiota Analysis

Advanced Science, EarlyView.
Frequent sweetened beverage consumption is associated with accelerated biological aging in a large Chinese population. Five gut microbial genera are consistently enriched in both frequent sweetened beverage consumers and individuals with accelerated aging and show significant mediating effects, suggesting a potential microbiota‐related pathway linking ...
Yuwei Shi, Xinmei Li, Yufan Hao, Qiaoyu Wu, Yuji Yu, Siyu Li, Nuo Xu, Yi‐Hsuan Wu, Eunhye Lee, Chi Chang, Emily Hu, Ying Lu, Elizabeth Delzell, Ann W. Hsing, Shankuan Zhu   +14 more
wiley   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

Advanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong, Xueru Zheng, Xiao Zhou, Zhengheng Tao, Wan Han, Jingyi Pan, Dian Wu, Ning Gao, Lei Liu, Zhongyang Wang, Fanchao Meng, Tongxiang Fan   +11 more
wiley   +1 more source

Symmetric Encryption Algorithms in a Polynomial Residue Number System

Journal of Applied Mathematics
In this paper, we develop the theoretical provisions of symmetric cryptographic algorithms based on the polynomial residue number system for the first time. The main feature of the proposed approach is that when reconstructing the polynomial based on the
I. Yakymenko, M. Karpinski, R. Shevchuk, M. Kasianchuk   +3 more
doaj   +1 more source

A Bio‐Functional Mimetic Robot for Versatile Tasks From Cross‐Scale Manipulation to Limb‐Tool Integration

Advanced Science, EarlyView.
A functionally biomimetic design methodology is presented, enabling a single robot to perform eight distinct functions and manipulate objects across a size range exceeding 2300‐fold. The robot exceeds basic human hand functions and demonstrates remote operation, multi‐object manipulation, humanoid‐robot hand interaction, and narrow‐space inspection ...
Xin Tong, Tianle Zhang, Fei Mo, Qian Zhao, Zhongqing Sun, Yongkang Jiang, Yang Yang, Yingtian Li   +7 more
wiley   +1 more source

Soft, Multi‐Wavelength Photoplethysmography Enables Reliable Neonatal Blood Pressure Monitoring Via Error Stratification

Advanced Science, EarlyView.
A soft hybrid multi‐wavelength PPG wearable acquires neonatal signals. Synchronized PPG and invasive ABP data are segmented into fixed windows. A 1D‐EfficientNet model predicts segment‐level SBP and DBP. Model performance is examined with retrospective subgroup analysis across acquisition conditions.
Wenqi Shi, Lanlan Mi, Jiarong Chen, Biao Liu, Min Wang, Zisheng Dai, Bin Liu, Ruize Gao, Yunfeng Lin, Weiwei Guo, Guoxing Wang, Wenyi Luo, Cheng Chen   +12 more
wiley   +1 more source

An Efficient Implementation Scheme for Lattice Reduction in the List-Decoding Algorithm for the Binary Goppa Codes

IEEE Access
This paper presents a scheme that is designed for the effective implementation of lattice reduction for polynomial matrices within the list-decoding algorithm that is applied to the binary Goppa codes.
Ki-Soon Yu, Dae-Woon Lim
doaj   +1 more source

BraMARS: An Interpretable Histopathology‐Driven Deep Learning Model for Brain Metastasis Risk Stratification in Surgically Resected Limited‐Stage SCLC

Advanced Science, EarlyView.
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang, Taolue Wang, Shilong Liu, Zicheng Zhang, Yibo Zhang, Fan Yang, Bo Yu, Shuaishuai Gao, Yu Chen, Lin Yang, Meng Zhou   +10 more
wiley   +1 more source