Results 71 to 80 of about 956,220 (295)

Gene Correction Enhances Dopaminergic Cell Therapy in a Nonhuman Primate Model of Parkinson's Disease

Advanced Science, EarlyView.
LRRK2‐mutant induced pluripotent stem cells (iPSCs) were derived from a patient with Parkinson's disease (PD). Using CRISPR/Cas9–mediated gene editing, the pathogenic LRRK2 mutations were precisely corrected, and isogenic dopaminergic neural progenitor cells (DA‐NPCs) were subsequently generated.
Qing Yan, Chongchong Xu, Jiangmei Gao, Pu Wang, Qingling Wu, Ying Jin, Binyan Lu, Mu Li, Mingting Shao, Bihai Li, Zhenghui Su, Yijng Zhang, Jianhuan Chen, Haojie An, Mengyao Huang, Xiaoji Zhuang, Yuhui Shen, Fenglin Wang, Nana Xu, Yiyan Liu, Lei Tang, Xiuling Zhong, Minyan Zhong, Jiecong Chen, Zhenhuang Wang, Xingrong Luo, Sheng Liu, RuiFeng Liu, Ling Zhang, Junhua Rao   +29 more
wiley   +1 more source

Multi-feature approach for writer-independent offline signature verification [PDF]

, 2010
Some of the fundamental problems facing handwritten signature verification are the large number of users, the large number of features, the limited number of reference signatures for training, the high intra-personal variability of the signatures and the
Rivard, Dominique
core   +1 more source

Offline Signature Verification using Locally Optimized Distance-based Classification

South African Computer Journal, 2013
Although handwritten signature verification has been extensively researched, it has not achieved an optimal classification accuracy rate. Therefore, efficient and accurate signature verification techniques are required since signatures are still widely ...
Yaseen Moolla, Serestina Viriri, Fulufhelo Nelwamondo, Jules-Raymond Tapamo   +3 more
doaj  

Discovering Early‐Stage Gas Generation Kinetics Enables Thermal Runaway Early Warning in Lithium‐Ion Batteries

Advanced Science, EarlyView.
Operando gas diagnostics reveal a previously unrecognized chemical activation (CA) stage during thermal runaway in lithium‐ion batteries. A physics‐informed gas generation kinetics network (GGKNet) is developed to reconstruct reaction pathways and physical models automatically.
Jiabo Zhang, Qianzhen Guo, Shuaiqi Liu, Shuai Li, Xianghao Kong, Dong Han, Zhen Huang   +6 more
wiley   +1 more source

Wafer‐Scale Atomically‐Thin Gold: Transferable Platform for Flexible Optoelectronics, Thermal Management and Bio‐Interfaces

Advanced Science, EarlyView.
Combining template stripping with a graphene‐inspired transfer yields continuous, transferable gold films at 6‐inch wafer scale with thicknesses approaching the atomic limit. The atomically smooth, near‐bulk‐quality films offer above 86% transmittance and sub‐20 Ω/square sheet resistance, serving as a universal platform for flexible optoelectronics ...
Dmitry Yakubovsky, Mikhail Mironov, Georgy Ermolaev, Aleksandr Khrebtov, Aleksandr Slavich, Prashant Narute, Pritom Chowdhury, Roman Kirtaev, Igor Khramtsov, Anton Minnekhanov, Gleb Tselikov, Dmitriy Grudinin, Maria Sidorova, Nikolay Pak, Pavel Maslov, Andrey Vyshnevyy, Hongkai Zhou, Vasyl G. Kravets, Alexander N. Grigorenko, Ivan Kruglov, Nikita Orekhov, Dmitry Kireev, Aleksey Arsenin, Kostya S. Novoselov, Valentyn Volkov   +24 more
wiley   +1 more source

Offline Handwritten Signature Recognition

, 2011
Biometrics, which refers to identifying an individual based on his or her physiological or behavioral characteristics, has the capability to reliably distinguish between an authorized person and an imposter.
Gulzar A. Khuwaja, Mohammad S. Laghari
core   +1 more source

Preserving Motor Features by Alternative Re‐Referencing to Remove Heart Artifact on the Stentrode

Advanced Science, EarlyView.
Endovascular brain‐computer interfaces record neural activity from within cerebrovasculature, at the expense of electrocardiogram contamination. Band‐limited independent component analysis separates this heart‐based artifact from task‐relevant neural activity in each frequency band, enabling the reconstruction of cleaner neural recordings without the ...
Ariel K. Feldman, Kriti Kacker, Rahyun Yun, Nikole Chetty, James Bennett, Peter E. Yoo, Raul G. Nogueira, Jennifer L. Collinger, Nicholas L. Opie, Thomas J. Oxley, David F. Putrino, Douglas J. Weber   +11 more
wiley   +1 more source

Dynamic Signature Verification Technique for the Online and Offline Representation of Electronic Signatures in Biometric Systems

, 2023
Biometric systems input physical or personal human characteristics for identification, authentication, and security purposes. With the advancement in communication and intelligent security systems, biometrics are programmed to validate electronic ...
Yuhang Xue, Linhui Liu, Juanjuan Huang
core   +1 more source

Chlorine‐Functionalized Silane‐Modified Copper Electrocatalyst for Enhanced CO2 Reduction to Multi‐Carbon Products

Advanced Science, EarlyView.
A chlorine‐functionalized silane modifier (CPTMS) is introduced to cooperatively regulate CO2 reduction to C2+ products on Cu‐based catalysts. Dual‐functional interface sequentially enhances CO2 activation, intermediates protonation and C─C coupling, delivering a 5‐fold increase in C2+ faradaic efficiency (FE, 75% vs.
Ying Ying Ch'ng, Sankhadip Saha, Ming Zhang, Shujie Zhou, Lixue Jiang, Putri Ramadhany, Jitraporn Vongsvivut, Adrian Cernescu, Priyank Vijaya Kumar, Yihao Shan, Zhipeng Ma, Xiaoxuan Luo, Rahman Daiyan, Zhaojun Han, Rose Amal   +14 more
wiley   +1 more source

DEEP LEARNING FOR OFFLINE SIGNATURE VERIFICATION: A NOVEL MULTI-CHANNEL FEATURE FUSION NETWORK

Journal of Intelligent Systems and Applied Data Science
This paper addresses the critical challenge of offline signature verification, a task crucial for authenticating documents and identities. Existing deep learning approaches, primarily deep metric learning with Siamese networks and two-channel ...
Anuradha Kasangottuwar, Harshal Hemane
doaj   +1 more source