Results 71 to 80 of about 273,176 (296)

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

Application of multilingual corpus in contrastive studies (on the example of the Bulgarian-Polish-Lithuanian parallel corpus)

Cognitive Studies | Études cognitives, 2015
Application of multilingual corpus in contrastive studies (on the example of the Bulgarian-Polish-Lithuanian parallel corpus) In this paper we present applications of a trilingual corpus in language research.
Ludmila Dimitrova, Violetta Koseska-Toszewa, Danuta Roszko, Roman Roszko   +3 more
doaj   +1 more source

A New Approach to Speeding Up Topic Modeling [PDF]

, 2014
Latent Dirichlet allocation (LDA) is a widely-used probabilistic topic modeling paradigm, and recently finds many applications in computer vision and computational biology.
Jia Zeng, Senior Member, Xiao-qin Cao, Zhi-qiang Liu   +3 more
core  

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Enhancing Code-Switching Research Through Comparable Corpora: Introducing the El Paso Bilingual Corpus

Languages
Research on language contact outcomes, such as code-switching, continues to face theoretical and methodological challenges, particularly due to the difficulty of comparing findings across studies that use divergent data collection methods.
Margot Vanhaverbeke, Renata Enghels, María del Carmen Parafita Couto, Iva Ivanova   +3 more
doaj   +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

What Can Sla Learn From Contrastive Corpus Linguistics? the Case of Passive Constructions in Chinese Learner English [PDF]

, 2007
This article seeks to demonstrate the predictive and diagnostic power of the integrated approach that combines contrastive corpus linguistics with interlanguage analysis in second language acquisition research, via a case study of passive constructions ...
Xiao, R. Z. (Richard)
core  

Stable Diffusion Models Reveal a Persisting Human–AI Gap in Visual Creativity

Advanced Science, EarlyView.
This study examines visual creativity in humans and generative AI using the TCIA framework. Human artists outperform AI overall, yet structured human guidance substantially improves AI outputs and evaluations. Findings reveal that alignment with human creativity depends critically on contextual framing, highlighting both the promise and current ...
Silvia Rondini, Claudia Alvarez‐Martin, Paula Angermair‐Barkai, Olivier Penacchio, Marc Paz, Matthew Pelowski, Dan Dediu, Antoni Rodriguez‐Fornells, Xim Cerda‐Company   +8 more
wiley   +1 more source

Design of Single‐Atom Nanozymes for Precision Treatment of Erectile Dysfunction with Integrated Single‐Cell RNA Sequencing and Machine Learning

Advanced Science, EarlyView.
It is innovatively utilized single‐cell RNA sequencing to explore the underlying causes of diabetes mellitus‐induced erectile dysfunction, followed by machine learning‐driven design of a single‐atom nanozyme (Fe‐DMOF) for precision treatment of erectile dysfunction.
Xiang Zhou, Xi Zhang, Sihan Chen, Mengchi Yu, Yilan Hu, Chi Gan, Xianghu Meng, Long Li, Ninghong Song   +8 more
wiley   +1 more source

A comparable-corpus-based study of informal features in academic writing by English and Chinese scholars across disciplines [PDF]

Ibérica, 2020
This paper aims at quantitatively and qualitatively analyzing the use and distribution of informality features in a comparable corpus of research articles (rAs) written by L1 Chinese scholars (Css) and L1 English scholars (Ess) across four disciplines ...
Gao Xia
doaj   +2 more sources