Results 241 to 250 of about 259,269 (327)

Clinical concept annotation with contextual word embedding in active transfer learning environment. [PDF]

Digit Health
Abbas A, Lee M, Shanavas N, Kovatchev V.
europepmc   +1 more source

Factors Driving Battery and Solar Purchase Decision of Residents: a Behavioural Choice Experiment Using a Hybrid Discrete Choice and Latent Variable Model

Advanced Sustainable Systems, EarlyView.
This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour, Elnaz Irannezhad, Rodney A. Stewart, Oz Sahin   +3 more
wiley   +1 more source

An efficient consolidation of word embedding and deep learning techniques for classifying anticancer peptides: FastText+BiLSTM. [PDF]

PeerJ Comput Sci
Karakaya O, Kilimci ZH.
europepmc   +1 more source

Jointly learning word embeddings using a corpus and a knowledge base

, 2018
Mohammed Alsuhaibani, Danushka Bollegala, Takanori Maehara, Ken-ichi Kawarabayashi   +3 more
openalex   +2 more sources

Top‐Down Fabricated Wood‐Derived Pressure and Strain Sensors: A Review

Advanced Science, EarlyView.
This review focuses on wood‐derived pressure/strain sensors fabricated via top‐down strategies. It analyzes wood's structural composition, examines processing techniques, discusses sensor types and sensing mechanisms, and reviews existing research. The article concludes with future directions for enhancing performance and scalability.
Yi Ren, Fuyao Liu, Yanan Zhong, Shengbo Ge, Zhipeng Shi, Siling Lin, Hongli Song, Yingying Zhang, Wei Fan   +8 more
wiley   +1 more source

Measuring Implicit Bias in ICU Notes Using Word-Embedding Neural Network Models. [PDF]

Chest
Cobert J, Mills H, Lee A, Gologorskaya O, Espejo E, Jeon SY, Boscardin WJ, Heintz TA, Kennedy CJ, Ashana DC, Chapman AC, Raghunathan K, Smith AK, Lee SJ.   +13 more
europepmc   +1 more source

How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation? [PDF]

, 2018
Shuoyang Ding, Kevin Duh
openalex   +1 more source

HPD is an m6A Methyltransferase that Protects Colorectal Cancer Cells from Ferroptotic Cell Death by m6A Methylating SLC7A11/GPX4

Advanced Science, EarlyView.
This study reveals that the tyrosine metabolic enzyme HPD functions as a previously uncharacterized, METTL3‐independent m6A methyltransferase. It promotes colorectal tumor progression by coordinately regulating the SLC7A11/GPX4 axis to suppress ferroptosis.
Jiyan Wang, Xintong Dai, Huanle Liu, Saiwei Hua, Hongkai Chang, Huanran Sun, Mingming Sun, Huifang Zhao, Kemin Ni, Fei Xie, Yaya Qiao, Qingle Gao, Chenxi Yu, Qijun Zhang, Jianshuang Guo, Chunze Zhang, Shuai Zhang, Changliang Shan   +17 more
wiley   +1 more source

Search Term Identification Methods for Computational Health Communication: Word Embedding and Network Approach for Health Content on YouTube.

JMIR Med Inform, 2022
Tong C, Margolin D, Chunara R, Niederdeppe J, Taylor T, Dunbar N, King AJ.   +6 more
europepmc   +1 more source

Organic Bulk‐Heterojunction‐Integrated Flexible Perovskite Photodetection Arrays for High‐Speed Broadband Optical Communication

Advanced Science, EarlyView.
A flexible broadband photodetector is realized by integrating a perovskite with an organic bulk‐heterojunction. It achieves high external quantum efficiency (EQE) (>80% visible, >60% near‐infrared (NIR)), ultralow dark current, and fast response, enabling self‐powered, high‐detectivity operation.
Xin Hong, Kanghui Ke, Yu Gao, Jiazhi Meng, Bohua Deng, Haoyu Huang, Zhichun Si, H. Y. Fu, Feiyu Kang, Guodan Wei   +9 more
wiley   +1 more source