Results 71 to 80 of about 250,125 (290)

Syntactic complexity in translated and non-translated texts: A corpus-based study of simplification.

PLoS ONE, 2021
This study approaches the investigation of the simplification hypotheses in corpus-based translation studies from a syntactic complexity perspective. The research is based on two comparable corpora, the English monolingual part of COCE (Corpus of Chinese-
Kanglong Liu, Muhammad Afzaal
doaj   +1 more source

Accuracy-based scoring for DOT: towards direct error minimization for data-oriented translation [PDF]

, 2009
In this work we present a novel technique to rescore fragments in the Data-Oriented Translation model based on their contribution to translation accuracy.
Galron, Daniel, Melamed, I. Dan, Penkale, Sergio, Way, Andy   +3 more
core   +4 more sources

Sulfakinin Signaling Sense Circulating Fructose and Suppresses Food Consumption via Insulin‐Like Peptide in Bactrocera Dorsalis

Advanced Science, EarlyView.
This study discovered a new pathway that tells fruit flies when to stop eating. It found that rising blood sugar (fructose) is detected by a sensor called GR43a. This triggers a chain reaction involving the satiety signal sulfakinin and its receptor, ultimately activating a final satiety signal, ILP5.
Hong‐Fei Li, Bao Dong, Zheng‐Lin Ren, Xue‐Guang Zhu, Quan Lei, Yoonseong Park, Jin‐Jun Wang, Hong‐Bo Jiang   +7 more
wiley   +1 more source

Compilation de normes de traduction par l’annotation de corpus parallèles bilingues

ILCEA, 2018
We propose a method for the discovery and compilation of translation standards of specialized concepts used in simple and complex terms attested in a parallel bilingual corpus. The standards of translation developed by this method have the characteristic
Éric Poirier
doaj   +1 more source

Spanish generation from Spanish Sign Language using a phrase-based translation system [PDF]

, 2010
This paper describes the development of a Spoken Spanish generator from Spanish Sign Language (LSE – Lengua de Signos Española) in a specific domain: the renewal of Identity Document and Driver’s license. The system is composed of three modules.
Echeverry Correa, Julian David, Lopez Ludeña, Veronica, Lucas Cuesta, Juan Manuel, Martin Maganto, Raquel, San Segundo Hernández, Rubén   +4 more
core   +1 more source

β‐Adrenergic Signaling Promotes Anti‐Tumor Immunity in TP53‐mutant Oral Squamous Cell Carcinoma

Advanced Science, EarlyView.
β‐adrenergic stimulation enhances anti‐tumor immunity in TP53‐deficient oral squamous cell carcinoma by inducing tumor‐derived secretion of CXCL10, which attracts and activates cytotoxic CD8+ T cells. The findings demonstrate that β‐adrenergic signaling alters tumor–immune interactions via CXCL10‐mediated paracrine activation, revealing a neuro‐immune ...
Frederico O. Gleber‐Netto, Deborah Silverman, Tongxin Xie, Shamima Akhter, Nicole R. Vaughn, Adewale Adebayo, Kala Chand Debnath, Shorook Naara, Shajedul Islam, Erik Knutsen, Emily Lorin Ashkin, Simone Anfossi, Sara Leahey, Patrick Hwu, Sebastien Talbot, Erica K Sloan, Robert Saddawi‐Konefka, Roberto Rangel, Jeffrey N. Myers, George A. Calin, Moran Amit   +20 more
wiley   +1 more source

Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS

Advanced Science, EarlyView.
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi, Di Tang, Johan Malmström, Yasaman Karami, Hamed Khakzad   +4 more
wiley   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source