Results 171 to 180 of about 96,015 (310)

When the River Runs Low: Heterogeneous Impacts of Transportation Disruptions on Local Grain Basis

Agribusiness, EarlyView.
ABSTRACT A substantial share of U.S. soybean and corn exports from the Midwest moves by barge along the Mississippi River system to export terminals in the Louisiana Gulf. Transportation costs between Midwestern grain elevators and export terminals create a wedge between prices at these locations, and shocks to these costs are partially passed on to ...
Yuan Zhang, Andrew E. Anderson, Nicholas J. Pates, Eunchun Park   +3 more
wiley   +1 more source

mmContext: an open framework for multimodal contrastive learning of omics and text data. [PDF]

Bioinformatics
Menger J, Krissmer SM, Kreutz C, Binder H, Hackenberg M.   +4 more
europepmc   +1 more source

Multimodal Processing and Interaction - Audio, Video, Text

, 2008
International audienceMultimodal Processing and Interaction: Audio, Video and Text presents high quality, state-of-the-art research ideas and results from theoretic, algorithmic and application viewpoints.
Maragos, Petros, Potamianos, Alexandros, Gros, Patrick   +2 more
core  

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

The Role of Multimodal Generative AI in Older Adults' Health Management: Systematic Scoping Review. [PDF]

JMIR AI
Liu T, Luo YT, Pang PC, Zhang H, Xiang A, Yang Q.   +5 more
europepmc   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Federated high order tensor fusion for privacy preserving multimodal social media analysis. [PDF]

PLoS One
Wan L, Zhang B.
europepmc   +1 more source

Multimodal text talk about a multisemiotic text

, 2007
Multimodal text talk about a multisemiotic textA paper presentation at the 1st Finnish Symposium on Multimodality and SFL,Helsinki July 2007My research questions concern how texts are read and interpreted by different people connected to education on different levels of schooling.
openaire   +1 more source

What happens when multimodality comes into the classroom? [Elektronisk resurs] : A study of Swedish children’s use of multiple modes while creating narrative text

, 2016
The aim of this study is to analyse and describe the impact of digital devices with a multimodal character on children's creations of narrative texts. The focus will be on the process of creating texts, the conditions for creating texts and the results ...
Dahlström, Helene,
core  

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source