Results 221 to 230 of about 3,380,949 (306)

CELLama: Foundation Model for Single Cell and Spatial Transcriptomics by Cell Embedding Leveraging Language Model Abilities

Advanced Science, EarlyView.
CELLama is created, a framework that harnesses language models to convert cellular data into “sentences” that represent gene expression and metadata, enabling a universal embedding of cells. Unlike most single‐cell foundation models, CELLama supports scalable analysis and offers flexible applications including spatial transcriptomics.
Jeongbin Park, Sumin Kim, Jiwon Kim, Dongjoo Lee, Sungwoo Bae, Haenara Shin, Daeseung Lee, Hongyoon Choi   +7 more
wiley   +1 more source

Covariate selection strategies and estimands - a review of current practice of risk factor analysis from a causal perspective. [PDF]

BMC Med Res Methodol
Reinhammar R, Waernbaum I.
europepmc   +1 more source

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

Advanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang, Yuli Zhang, Zixin Kang, Jiayun Xiong, Ronghua Yang, Kang Ning   +5 more
wiley   +1 more source

The Comparative Effect of Immediate and Delayed Feedback on EFL Learners' Engagement and Willingness to Collaborate. [PDF]

Psych J
Mai H.
europepmc   +1 more source

Exploring Language Learners' Engagement with Influencer Content for English Language Learning on Social Media Platforms

Nurrohmah Safitri, Nirmala Tari
openalex   +2 more sources

Increasing Investment and Autonomy in Second-language Learners – an Empirical Study Looking for the L2 Self

, 2019
Gastón Bacquet
openalex   +2 more sources

Learned Conformational Space and Pharmacophore Into Molecular Foundational Model

Advanced Science, EarlyView.
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang, Yifan Wu, Hao Luo, Minglong Liang, Yihang Zhou, Cheng Chen, Chris Liu, Jun Zhang, Yang Zhang   +8 more
wiley   +1 more source

Social interaction shapes and boosts second language learning: virtual reality can show us how. [PDF]

NPJ Sci Learn
Zappa A, Slater M, Rodriguez-Fornells A.
europepmc   +1 more source

TEACHING COORDINATING CONJUNCTIONS TO A2 LEARNERS THROUGH TASK-BASED LANGUAGE TEACHING

Mamasharipova, Mokhinur
openalex   +1 more source

Harnessing Time‐Dependent Magnetic Texture Dynamics via Spin‐Orbit Torque for Physics‐Enhanced Neuromorphic Computing

Advanced Science, EarlyView.
A neuromorphic computing platform using spin‐orbit torque‐controlled magnetic textures is reported. The device implements bio‐inspired synaptic functions and achieves high performance in both pattern recognition (>93%) and combinatorial optimization (>95%), enabling unified processing of cognitive and optimization tasks.
Yifan Zhang, Yu Li, Huai Lin, Xinying Wang, Long Liu, Guoliang Xing, Di Wang, Zhihao Zhao, Zhipeng Guo, Junbo Yang, Jiebin Niu, Yan Sun, Tom Wu, Guozhong Xing   +13 more
wiley   +1 more source