Results 101 to 110 of about 63,855 (324)

Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface

Advanced Science, EarlyView.
Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley   +1 more source

Part of speech tagging of grammatical features related to L2 Chinese development: A case analysis of Stanza in the L2 writing context. [PDF]

Front Psychol, 2023
Lan G, Pan X, Sun Y, Lu Y.
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

CTBPro: A Next‐Generation Cholera Toxin Subunit B‐Based Neuroanatomical Tracer With Superior Brightness, Stability, and Sensitivity for Enhanced Neural Circuit Mapping

Advanced Science, EarlyView.
CTBPro is a next‐generation cholera toxin B–based tracer engineered by fusing CTB to the ultra‐stable fluorescent protein mBaojin. Exhibiting markedly enhanced molar brightness, CTBPro enables high‐fidelity neuronal labeling across multiple administration routes.
Xinghua Quan, Yude Lou, Huiqi Xie, Yifei Wang, Yanzhe Zhang, Yiran Ge, Linhe Yang, Xiaoxuan Zhang, Qingmiao Zhou, Huaizong Shen, Longxing Cao, Xin Jin, Jie‐Min Jia   +12 more
wiley   +1 more source

Semantic Tagging with Deep Residual Networks [PDF]

, 2016
We propose a novel semantic tagging task, sem-tagging, tailored for the purpose of multilingual semantic parsing, and present the first tagger using deep residual networks (ResNets).
Bjerva, Johannes, Bos, Johan, Plank, Barbara   +2 more
core   +1 more source

Part of speech tagging using a network of linear separators [PDF]

, 1998
Dan Roth, Dmitry Zelenko
openalex   +1 more source

A Nanobody‐LNP Platform for Targeting and Relicensing Dendritic Cells for Potent Cancer Immunotherapy

Advanced Science, EarlyView.
Plastin‐2 (PLS2) is identified as a dual‐function receptor on DCs that mediates both nanoparticle uptake and immunomodulation. A nanobody‐LNP platform is engineered to integrate antigen delivery with relicensing DCs. The therapeutic strategy elicits potent anti‐tumor T cell responses and leads to significant inhibition of established tumors in vivo ...
Shugang Qin, Zhiying Huang, Hai Huang, Yupei Zhang, Yuting Chen, Xi He, Zhenyi Niu, Zhongzheng Xiang, Chaoyu Zou, Xiangrong Song   +9 more
wiley   +1 more source

MBT: A Memory-Based Part of Speech Tagger-Generator

, 1996
We introduce a memory-based approach to part of speech tagging. Memory-based learning is a form of supervised learning based on similarity-based reasoning.
Berck, Peter, Daelemans, Walter, Gillis, Steven, Zavrel, Jakub   +3 more
core   +2 more sources

Toward a Standardized and More Accurate Indonesian Part-of-Speech\n Tagging [PDF]

, 2018
Kemal Kurniawan, Alham Fikri Aji
openalex   +1 more source

Disruption of the SNRPF–DDX24–E2F4 Feedback Loop Uncouples Splicing and Transcriptional Regulation to Suppress Ovarian Cancer Progression

Advanced Science, EarlyView.
This study identifies SNRPF as a critical oncogenic driver in ovarian cancer. By regulating a self‐sustaining SNRPF–DDX24–E2F4 feedback loop through intron retention and nonsense‐mediated decay, SNRPF couples RNA splicing with transcriptional regulation to promote tumor progression.
Yingwei Li, Zhongshao Chen, Qianqian Gao, Yuehan Gao, Ning Yang   +4 more
wiley   +1 more source