Results 41 to 50 of about 3,453,209 (234)
A “nutritional trap” strategy centered on disrupting bacterial iron homeostasis is proposed. The synthesized Bi‐TP@FU (TBF) can target Helicobacter pylori, interfere with the bacterial iron uptake and utilization processes to disrupt its iron homeostasis, induce bacterial death, and meanwhile preserve the balance of the intestinal flora.
Tianye Fang +13 more
wiley +1 more source
CA9‐targeted PET imaging could be a noninvasive approach to characterize clear cell renal cell carcinoma and associated tumor biology. PET uptake correlates with tumor CA9 expression and is linked to angiogenic activity, immune remodeling, and metabolic reprogramming.
Kailei Chen +19 more
wiley +1 more source
CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction
CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su +5 more
wiley +1 more source
ABSTRACT Diabetic stroke is characterized by a hyperglycemic and pro‐inflammatory microenvironment that exacerbates neurovascular dysfunction. However, the blood–brain barrier (BBB) remains a formidable obstacle, restricting the delivery of most therapeutic molecules.
Bixin Shen +7 more
wiley +1 more source
Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction
Recently, Large Language Models (LLMs) have been widely studied by researchers for their roles in various downstream NLP tasks. As a fundamental task in the NLP field, Chinese Grammatical Error Correction (CGEC) aims to correct all potential grammatical errors in the input sentences.
Yinghui Li +10 more
openaire +3 more sources
Human Evaluation of Grammatical Error Correction Systems [PDF]
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 ...
Junczys-Dowmunt, Marcin +5 more
core +3 more sources
Mining Error Templates for Grammatical Error Correction
Some grammatical error correction (GEC) systems incorporate hand-crafted rules and achieve positive results. However, manually defining rules is time-consuming and laborious.
Jiang, Haochen +5 more
core
Guided by pharmacophore modeling and molecular docking, aryl hydrocarbon receptor (AHR)‐responsive carbon dots were synthesized. They bind directly to AHR and expand gut‐resident regulatory T (Treg) cells. Treg‐derived C‐C motif chemokine ligand 1 (CCL1) enhances macrophage efferocytosis, creating a pro‐regenetative niche that promotes colonic mucosal ...
Zilu Zhu +6 more
wiley +1 more source
Machine‐learning‐driven transcriptomic analysis identifies FSTL3 as a key tumor‐microenvironment regulator in desmoplastic pancreatic adenocarcinoma. A cRGD‐modified liposome co‐loading gemcitabine and siFSTL3 serves as an irradiation‐triggered in situ nanovaccine. It synergizes with radiotherapy to induce ferroptosis and immunogenic cell death through
Chengyi Huang +11 more
wiley +1 more source
EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction
Existing studies explore the explainability of Grammatical Error Correction (GEC) in a limited scenario, where they ignore the interaction between corrections and explanations and have not established a corresponding comprehensive benchmark. To bridge the gap, this paper first introduces the task of EXplainable GEC (EXGEC), which focuses on the ...
Jingheng Ye +10 more
openaire +3 more sources

