Results 121 to 130 of about 97,244 (288)

Artifact‐Minimizing Ultrathin Transparent Electrodes Fabricated via iCVD for In Vivo Optogenetic Stimulation and Neural Signal Monitoring of Primary Visual Cortex

Advanced Functional Materials, EarlyView.
We present ultrathin flexible transparent electrodes through iCVD‐enabled molecular control of 10 nm gold films on poly(dimethylaminomethylstyrene). In vivo validation demonstrated photoelectric artifact reduction vs. opaque electrodes and preservation of natural neural dynamics.
Tae Jin Mun, Minju Kim, Chaesung Kim, Yunyoung Choi, In‐Yeop Baek, Younghak Cho, Gyeongyong Lee, Yerim Jang, Min‐Ho Nam, Wonryung Lee, Maesoon Im, Hyejeong Seong   +11 more
wiley   +1 more source

AM-Bi-LSTM: Adaptive Multi-Modal Bi-LSTM for Sequential Recommendation

IEEE Access
Conventional methods for the early fusion of multi-modal features cannot recognize the relevant modality corresponding to the demand of each user in sequential recommendation.
Kazuma Ohtomo, Ryosuke Harakawa, Masaki Iisaka, Masahiro Iwahashi   +3 more
doaj   +1 more source

Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion

, 2017
We present our preliminary work to determine if patient's vocal acoustic, linguistic, and facial patterns could predict clinical ratings of depression severity, namely Patient Health Questionnaire depression scale (PHQ-8).
Chang, Xiangyu, Huang, Shuai, Jin, Yan, Samareh, Aven, Wang, Zhangyang   +4 more
core   +1 more source

Mechanochromism of Glassy Polymers Enabled by a Loop‐Forming Supramolecular Mechanophore

Advanced Functional Materials, EarlyView.
The supramolecular mechanophore LOOP is covalently introduced into glassy polymers, capable of reporting force‐induced pre‐failure damage and local fracture events in polymer glasses. Under different mechanical deformation modes, including grinding, tensile stretching, and scratching, LOOP probes irreversible events in polymer glasses through a ...
Linlin Deng, Chantal Graafsma, Felix Meyenhofer, Iulia Scarlat, Luca Bertossi, Christoph Weder, Jess M. Clough   +6 more
wiley   +1 more source

Measuring Similarity of Dual-Modal Academic Data Based on Multi-Fusion Representation Learning

IEEE Access
Nowadays, academic materials such as articles, patents, lecture notes, and observation records often use both texts and images (i.e., dual-modal data) to illustrate scientific issues.
Li Zhang, Qiang Gao, Ming Liu, Zepeng Gu, Bo Lang   +4 more
doaj   +1 more source

Engineering Strategies for Stable and Long‐Life Alkaline Zinc‐Based Flow Batteries

Advanced Functional Materials, EarlyView.
Alkaline zinc‐based flow batteries face persistent challenges from unstable zinc deposition, including dendrite growth, passivation, corrosion, and hydrogen evolution, which severely limit cycling stability. Current research addresses these issues through coordinated electrode structuring, electrolyte regulation, and membrane design to control zinc ...
Yuran Bai, Xiaoyu Huo, Xin Long, Enkang Fu, Xusong Gong, Lei Wei, Liang An   +6 more
wiley   +1 more source

MDC-RHT: Multi-Modal Medical Image Fusion via Multi-Dimensional Dynamic Convolution and Residual Hybrid Transformer

Sensors
The fusion of multi-modal medical images has great significance for comprehensive diagnosis and treatment. However, the large differences between the various modalities of medical images make multi-modal medical image fusion a great challenge. This paper
Wenqing Wang, Ji He, Han Liu, Wei Yuan
doaj   +1 more source

Establishing a Model Precursor System: Over a Decade of Research on Carbon Dots from the Citric Acid‐Urea System

Advanced Functional Materials, EarlyView.
The citric acid/urea (CA‐Urea) precursor system offers a versatile, scalable route to carbon dots with tunable luminescence and multifunctionality. Mechanistic insights into precursor chemistry and reaction parameters have enabled doping, surface modification, and hybridization strategies, yielding CDs for luminescent devices, sensing, catalysis ...
Yupeng Liu, Zhiqi Cai, Xiangxin Sun, Hanyi Zhang, Yiming Hao, Jun Wu, Zekun Yan, Xue Wu, Yiqi Liang, Liming Wang, Songnan Qu   +10 more
wiley   +1 more source

VRCMC: a semi-supervised method for multi-modal entity alignment with visual refinement and cross-modal calibration

Journal of King Saud University: Computer and Information Sciences
The goal of multi-modal entity alignment (MMEA) is to automatically discover entities across different multi-modal knowledge graphs (MMKGs) that refer to the same real-world object.
Xinchen Shi, Bin Li, Xiaowei Zhang
doaj   +1 more source

Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems

Advanced Functional Materials, EarlyView.
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley   +1 more source