Results 201 to 210 of about 98,849 (283)

Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control

Advanced Functional Materials, EarlyView.
A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong, Dohyean Kim, Jiyun Jeong, Taekyeong Kim, Soon‐sung Kwon, Junyoung Seo, Il Jeon, Im Doo Jung   +7 more
wiley   +1 more source

Semi-Supervised Radar Work Mode Recognition Based on Contrastive Learning. [PDF]

Sensors (Basel)
Sun P, Du M, Li Z, Chen X, Shi J.
europepmc   +1 more source

BACH, a Bayesian Optimization Protocol for Accurate Coarse‐Grained Parameterization of Organic Liquids

Advanced Functional Materials, EarlyView.
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu, Akhil Pratap Singh, Pablo Campomanes, Stefano Vanni   +3 more
wiley   +1 more source

CMMSCL-DPI: cross-modal multi-structural contrastive learning for predicting drug-protein interactions. [PDF]

BMC Biol
Gu X, Yu Y, Liu J, Xiao P, Zou Q, Guo X, Zhang X, Ding Y.   +7 more
europepmc   +1 more source

Amyloidogenic Peptide Fragments Designed From Bacterial Collagen‐like Proteins Form Hydrogel

Advanced Functional Materials, EarlyView.
This study identified amyloidogenic sequence motifs in bacterial collagen‐like proteins and exploited these to design peptides that self‐assemble into β‐sheet fibers and form hydrogels. One hydrogel supported healthy fibroblast growth, showing promise for biocompatible materials. Our work demonstrates that bacterial sequences can be harnessed to create
Vamika Sagar, Xuen J Ng, Lukas Lechel, Ashish Chand Rajwar, Hendrik Bargel, Abhishek A. Jalan   +5 more
wiley   +1 more source

Dual denoising contrastive learning with multi-interest fusion for sequential recommendation. [PDF]

Sci Rep
Long H, Lu J, Dai C.
europepmc   +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

Contrastive learning enhances fairness in pathology artificial intelligence systems. [PDF]

Cell Rep Med
Lin SY, Tsai PC, Su FY, Chen CY, Li F, Zhao J, Ho YY, Lee TM, Healey E, Lin PJ, Kao TW, Vremenko D, Roetzer-Pejrimovsky T, Sholl L, Dillon D, Lin NU, Meredith D, Ligon KL, Lo YC, Chaisuriya N, Cook DJ, Woehrer A, Meyerhardt J, Ogino S, Nasrallah MP, Golden JA, Signoretti S, Chiang JH, Yu KH.   +28 more
europepmc   +1 more source

Shape‐Controlled Guanine Self‐Assemblies for Stable and Fast‐Ion Solid–Electrolyte Interphases in Sustainable Li Metal Batteries

Advanced Functional Materials, EarlyView.
The shape of guanine self‐assemblies is tuned by introducing alkyl (G8), fluoroalkyl (G8f), and oligoether (G8g) side chains into the G moiety. The scanning tunneling microscopy results and calculations show that the presence and type of the side chain strongly affect the G self‐assembly network.
So‐Huei Kang, So‐Dam Sohn, Kyung Min Lee, Seok‐Kyu Cho, Byongkyu Lee, Ji Eun Lee, Sang‐Young Lee, Sang Kyu Kwak, Hyung‐Joon Shin, Changduk Yang   +9 more
wiley   +1 more source

Skeleton motion topology-masked prediction and contrastive learning for self-supervised human action recognition. [PDF]

Sci Rep
Hui Y, Li F, Hu X, Guo X, Shen C.
europepmc   +1 more source