Results 81 to 90 of about 58,487 (271)

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

Advanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li, Haifan Gong, Yue Wang, Yinuo Zhao, Lixiang Li, Peijing Bao, Qingzhou Kong, Jialu Fu, Boyao Wan, Yumeng Zhang, Jinghui Zhang, Jiekun Ni, Zhongxue Han, Xueping Nan, Kunping Ju, Longfei Sun, Yuerui Ma, Huijun Chang, Mengqi Zheng, Yanbo Yu, Xiaoyun Yang, Xiuli Zuo, Haina Wang, Yanqing Li   +23 more
wiley   +1 more source

Generation of CCR4/CD7 Bispecific CAR‐T Cells Resistant to Fratricide and Exhaustion

Advanced Science, EarlyView.
The applications of CAR T‐cell therapy in T‐cell malignancies face limitations such as fratricide, effector‐cell exhaustion, and antigen‐escape. Herein, we developed fratricide‐ and exhaustion‐resistant CAR‐T cells that targeted CCR4 and CD7 simultaneously, with optional EGFRt safety switch. Additionally, scRNA‐seq unveiled new molecular targets, which
Sile Li, Yuanxin Li, Asif Rashid, Hong Kee Tan, Shing Chan, Man Yan Hui, Wilson Yau Ki Chan, Kee See Lam, Yinping Liu, Wenwei Tu, Wing Leung   +10 more
wiley   +1 more source

Thai Spelling Correction and Word Normalization on Social Text Using a Two-Stage Pipeline With Neural Contextual Attention

IEEE Access, 2020
Text correction systems (e.g., spell checkers) have been used to improve the quality of computerized text by detecting and correcting errors. However, the task of performing spelling correction and word normalization (text correction) for Thai social ...
Anuruth Lertpiya, Tawunrat Chalothorn, Ekapol Chuangsuwanich   +2 more
doaj   +1 more source

Automatical sampling with heterogeneous corpora for grammatical error correction

Complex & Intelligent Systems
Thanks to the strong representation capability of the pre-trained language models, supervised grammatical error correction has achieved promising performance.
Shichang Zhu, Jianjian Liu, Ying Li, Zhengtao Yu   +3 more
doaj   +1 more source

A study on automatic correction of English grammar errors based on deep learning

Journal of Intelligent Systems, 2022
Grammatical error correction (GEC) is an important element in language learning. In this article, based on deep learning, the application of the Transformer model in GEC was briefly introduced.
Qin Mengyang
doaj   +1 more source

ALKBH3 m1A Demethylase Deficiency Reduces Alzheimer's Amyloid‐β Pathology

Advanced Science, EarlyView.
This study identifies that ALKBH3‐driven m1A demethylation orchestrates Alzheimer's disease progression by disrupting mitochondrial and synaptic homeostasis. This epitranscriptomic mechanism suppresses PINK1‐mediated mitophagy via m1A erasure, leading to mitochondrial dysfunction, oxidative stress, elevated Aβ production, and impaired microglial ...
Yueyang Li, Sifei Yu, Kaidong Lu, Yujie Zhang, Mingjie Dong, Yan Peng, Liang Xue, Waleed Alam, Yuxuan Shui, Yi Zhou, Wuyunhan Ma, Meng Bao, Peiming Li, Peiyi Luo, Tiezhan Lu, Jiajia Li, Kang Zhang, Yuying Wang, Shuchen Yang, Nuoya Yin, Francesco Faiola, Zilong Gao, Jingfeng Zhou, Fei Zhao, Yali He, Magdalena J. Koziol   +25 more
wiley   +1 more source

Transforming online grammar education: Integrating GETN V2 and RoBERTa embeddings for effective English grammar correction

Alexandria Engineering Journal
The increasing demand for intelligent language learning systems, traditional grammar correction models often fail to capture the complex syntactic dependencies and contextual nuances present in learner-generated texts.
Yining Du
doaj   +1 more source

Schooling Trajectories and the Development of Brain Dynamics: A Comparative Study of Montessori and Traditional Education

Advanced Science, EarlyView.
We investigate whether Montessori and traditional schooling systems shape the developmental trajectory of large‐scale brain dynamics in different ways. We quantify the arrow of time (“non‐reversibility”) in neural activity during resting state and movie‐watching, revealing distinct maturational patterns.
Elvira del Agua, Anira Escrichs, Yonatan Sanz Perl, Morten L. Kringelbach, Adele Diamond, Solange Denervaud, Gustavo Deco   +6 more
wiley   +1 more source

An Analysis Of Error Made By The Third Semester Udents On Debate In Speaking Class At Muhammadiyah University Of Surakarta [PDF]

, 2018
This research describes the types of error in speaking class on debate at Muhammadiyah University of Surakarta, explain the causes of error, calculate the frequencies and dominants of error, and show the sources of error. The type of
, Nur Hidayat, S.Pd., Jelita Dwi Putri, Khairunnisa   +1 more
core  

Human Evaluation of Grammatical Error Correction Systems [PDF]

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
The paper presents the results of the first large-scale human evaluation of automatic grammatical error correction (GEC) systems. Twelve participating systems and the unchanged input of the CoNLL-2014 shared task have been reassessed in a WMT-inspired human evaluation procedure.
Roman Grundkiewicz, Marcin Junczys-Dowmunt, Edward Gillian   +2 more
openaire   +1 more source