Results 31 to 40 of about 3,721,524 (172)
Investigating the causes of reading comprehension failure: the comprehension-age match design. [PDF]
, 2000 The reading-level (or reading-age) match design has become a widely-used tool for investigating the possible direction of the relation between particular skills and word reading ability: Cause or consequence.
Cain, Kate +2 more
core +3 more sources
RIPK3 dampens mitochondrial bioenergetics and lipid droplet dynamics in metabolic liver disease
Hepatology, EarlyView., 2022 RIPK3 dampens mitochondrial bioenergetics and lipid droplet dynamics in metabolic liver disease. Abstract Background and Aims Receptor‐interacting protein kinase 3 (RIPK3) mediates NAFLD progression, but its metabolic function is unclear. Here, we aimed to investigate the role of RIPK3 in modulating mitochondria function, coupled with lipid droplet (LD)
Marta B. Afonso +16 more
wiley +1 more source
c‐Rel–dependent Chk2 signaling regulates the DNA damage response limiting hepatocarcinogenesis
Hepatology, EarlyView., 2022 In response to genotoxic injury, c‐Rel upregulates ATM‐Chk2‐p53 pathway DNA damage proteins to limiting hepatocarcinogenesis. Abstract Background and Aims Hepatocellular carcinoma (HCC) is a leading cause of cancer‐related death. The NF‐κB transcription factor family subunit c‐Rel is typically protumorigenic; however, it has recently been reported as a
Jack Leslie +17 more
wiley +1 more source
Research Progress of Multi-Hop Machine Reading Comprehension [PDF]
Jisuanji gongcheng, 2021 Compared with common single-hop Machine Reading Comprehension(MRC), Multi-Hop MRC(MHMRC) needs multi-hop reasoning from given multiple documents or paragraphs to understand and answer complex questions.Though MHMRC is extremely challenging, it is closer ...
SU Ke, HUANG Ruiyang, ZHANG Jianpeng, YU Shiyuan, HU Nan
doaj +1 more source
Improving Machine Reading Comprehension with Multi-Task Learning and Self-Training
Mathematics, 2022 Machine Reading Comprehension (MRC) is an AI challenge that requires machines to determine the correct answer to a question based on a given passage, in which extractive MRC requires extracting an answer span to a question from a given passage, such as ...
Jianquan Ouyang, Mengen Fu
doaj +1 more source
IEEE Access, 2023 Machine reading comprehension (MRC) is a cutting-edge technology in natural language processing (NLP), which focuses on teaching machines to read and understand the meaning of texts based on the emergence of large-scale datasets and neural network models.
Tuan-Anh Phan +2 more
doaj +1 more source
Matthew effects in young readers : reading comprehension and reading experience aid vocabulary development [PDF]
, 2011 The authors report data from a longitudinal study of the reading development of children who were assessed in the years of their 8th, 11th, 14th, and 16th birthdays.
Oakhill, Jane, Cain, Kate
core +5 more sources
IEEE Access, 2020 Although Vietnamese is the 17th most popular native-speaker language in the world, there are not many research studies on Vietnamese machine reading comprehension (MRC), the task of understanding a text and answering questions about it.
Kiet Van Nguyen +4 more
doaj +1 more source
Robust Domain Adaptation for Machine Reading Comprehension
, 2023 Most domain adaptation methods for machine reading comprehension (MRC) use a pre-trained question-answer (QA) construction model to generate pseudo QA pairs for MRC transfer.
Huang, Zhenyu +4 more
core +1 more source
FinBERT-MRC: financial named entity recognition using BERT under the machine reading comprehension paradigm [PDF]
, 2022 Financial named entity recognition (FinNER) from literature is a challenging task in the field of financial text information extraction, which aims to extract a large amount of financial knowledge from unstructured texts.
Zhang, Yuzhe, Zhang, Hong
core +1 more source