Results 81 to 90 of about 3,637,202 (294)

A Multiple-Choice Machine Reading Comprehension Model with Multi-Granularity Semantic Reasoning

open access: yesApplied Sciences, 2021
To address the problem of poor semantic reasoning of models in multiple-choice Chinese machine reading comprehension (MRC), this paper proposes an MRC model incorporating multi-granularity semantic reasoning.
Yu Dai, Yufan Fu, Lei Yang
doaj   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

open access: yesMolecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

TT-Net: Topic Transfer-Based Neural Network for Conversational Reading Comprehension

open access: yesIEEE Access, 2019
Conversational machine reading comprehension (MRC) is a new question answering task, which is more challenging compared to traditional single-turn MRC since it requires a better understanding of conversation history. In this paper, a novel neural network
Gu Yingjie, Gui Xiaolin, Li Defu
doaj   +1 more source

Read-All-in-Once (RAiO): Multi-Layer Contextual Architecture for Long-Text Machine Reading Comprehension

open access: yesIEEE 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

Transcriptional profiling of circulating extracellular vesicles from prebiopsy prostate cancer patients

open access: yesMolecular Oncology, EarlyView.
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner   +14 more
wiley   +1 more source

Loss of IGF‐1R impairs DNA‐PKcs recruitment to chromatin leading to defective end‐joining

open access: yesMolecular Oncology, EarlyView.
IGF‐1R promotes radioresistance by facilitating DNA‐PKcs recruitment to chromatin, enabling non‐homologous end‐joining (NHEJ) repair of double‐strand breaks. Inhibition or loss of IGF‐1R disrupts this recruitment to damage sites, driving compensatory reliance on microhomology‐mediated end‐joining (MMEJ) repair.
Matthew O. Ellis   +3 more
wiley   +1 more source

The Impact of Parent Involvement on Reading Comprehension Test Scores of Fourth-Grade Students

open access: yes, 2010
The purpose of this study was to examine the relationship between parent involvement and students’ reading comprehension test scores. A review of the literature suggests there is a correlation between parent involvement in school activities and students’
Gulas, Steven
core   +1 more source

MITF maintains genome stability in nonmelanocyte lineages

open access: yesMolecular Oncology, EarlyView.
MITF is essential for melanocyte survival and acts as an oncogene in 10%–20% of melanomas. We show that MITF depletion causes genome instability in nonmelanocytic cells, leading to LATS2‐mediated P53 activation, cell cycle arrest, and apoptosis. This study highlights the role of MITF as a genome maintenance factor beyond the melanocyte lineage. Created
Drifa H. Gudmundsdottir   +13 more
wiley   +1 more source

R-Trans: RNN Transformer Network for Chinese Machine Reading Comprehension

open access: yesIEEE Access, 2019
Machine reading comprehension (MRC) has gained increasingly wide attention over the past few years. A variety of benchmark datasets have been released, which triggers the development of quite a few MRC approaches based on deep learning techniques ...
Shanshan Liu   +3 more
doaj   +1 more source

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

open access: yesMolecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq   +8 more
wiley   +1 more source

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