Results 271 to 280 of about 6,659,086 (346)

Machine‐Learning‐Enhanced Printed Vertical Magnetoresistive Sensors for Transparent, Flexible, Multimodal Interactive Magnetoelectronics

Advanced Science, EarlyView.
This study presents printed magnetoresistive sensors with a vertically aligned architecture that enables high optical transparency and mechanical flexibility. By integrating deep learning for the analysis of complex spatiotemporal signal patterns, the system further achieves intelligent multimodal interaction capabilities.
Rui Xu, Guannan Mu, Oleksandr V. Pylypovskyi, Qihao Zhang, Rico Illing, René Hübner, Ran He, Andreas Knüpfer, Sebastian Lehmann, Olha Bezsmertna, Kornelius Nielsch, Denys Makarov   +11 more
wiley   +1 more source

Synergistic Integration of Artificial Merkel Disc and Meissner Corpuscle via Dermal Papillary Structures for Mechanically Filtered Multimodal Tactile Sensing

Advanced Science, EarlyView.
A multimodal tactile sensor module that mimics the spatial arrangement and function of Merkel discs and Meissner corpuscles within the human papillary structure operates in a self‐powered manner, responding to both dynamic and static stimuli, achieving tactile perception more similar to human skin.
Jaehyeong Kim, Bohee Maeng, Seunghwan Seo, Kyoung‐Yong Chun, Chang‐Soo Han   +4 more
wiley   +1 more source

Nanopore‐Based Protein Deceleration and Sensing Using Graphene/Si3N4 Dual Membrane Cavity

Advanced Science, EarlyView.
A graphene/Si3N4 dual membrane cavity system achieves multi‐stage protein deceleration through spatial geometry. Multi‐level current traces provide high‐resolution spatial localization and early warning signals. ABSTRACT Sequencing of protein with nanopores has emerged as a powerful tool offering rapid readout, high accuracy, low cost, and portability.
Yubin Cao, Junzhou He, Wei Si
wiley   +1 more source

Membrane Fusion‐Mediated Cytosolic Delivery of Threose Nucleic Acids via Homotypic Nanoparticles Overcomes Drug Resistance in Triple‐Negative Breast Cancer

Advanced Science, EarlyView.
This study introduces a biomimetic “nanofusion” platform that integrates the biostability of threose nucleic acids (TNA) with homotypic cell‐membrane cloaking to combat drug‐resistant TNBC. By leveraging a non‐canonical membrane‐fusion pathway for direct cytosolic delivery, the platform bypasses endosomal sequestration. To achieve potent AKT2 silencing
Wei Zheng, Tristan Juin Han Chang, Xinchao Li, Zhongqi Zhou, Chung Tin, Kenward Vong, Pierre Karam, Pik Kwan Lo   +7 more
wiley   +1 more source

A Phase‐Resolved Geometric Deep Learning Framework Maps Structural Determinants of Disease‐Associated Protein Aggregation and Guides Suppressor Design

Advanced Science, EarlyView.
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio, Wei Xuan Wilson Loo, Yan Shan Loo, Wen Xin Tan, Hui Xuan Lim, Huitao Liu, Chen Seng Ng   +6 more
wiley   +1 more source

Combinatorial Probabilities of Multiple Fragmentation Events Explain Polypeptide MS/MS Intensity Distribution, Overrepresentation of Smaller Fragments, and Missing Middle of Top-Down MS. [PDF]

Rapid Commun Mass Spectrom
Yang W, Alam N, Agar JN.
europepmc   +1 more source

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Stochastic simulation on reproducing long-term memory of hydroclimatological variables using deep learning model

Journal of Hydrology, 2020
Stochastic simulation has been employed for producing long-term records and assessing the impact of climate change on hydrological and climatological variables in the future.
Taesam Lee, Ju-Young Shin, Jong－Suk Kim   +2 more
exaly   +2 more sources

Stochastic Simulation

Applied Engineering Statistics, 2021
R. Rhinehart, R. Bethea
semanticscholar   +4 more sources

A simulation-optimization approach for scheduling in stochastic freight transportation

Computers and Industrial Engineering, 2018
In this paper, a new Simulation-Based Optimization Model (SBO-Model) is proposed to solve scheduling problem in stochastic multimodal freight transportation systems. The model is applied to find optimal services schedule in a real-world case study.
Safa Bhar Layeb, Amel Jaoua
exaly   +2 more sources