Results 41 to 50 of about 256,814 (289)

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

FEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 more
wiley   +1 more source

Organ‐specific redox imbalances in spinal muscular atrophy mice are partially rescued by SMN antisense oligonucleotides

FEBS Letters, EarlyView.
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley   +1 more source

Dual-Layer Fusion Knowledge Reasoning with Enhanced Multi-modal Features [PDF]

Jisuanji kexue yu tansuo
Most of the existing multi-modal knowledge reasoning methods use splicing or attention to directly fuse the multi-modal features extracted from the pre-trained model, often ignoring the heterogeneity and interaction complexity between different modes ...
JING Boxiang, WANG Hairong, WANG Tong, YANG Zhenye
doaj   +1 more source

Multi-modal Approach for Affective Computing

, 2018
Throughout the past decade, many studies have classified human emotions using only a single sensing modality such as face video, electroencephalogram (EEG), electrocardiogram (ECG), galvanic skin response (GSR), etc.
Jung, Tzyy-Ping, Sejnowski, Terrence J., Siddharth, Siddharth   +2 more
core   +1 more source

Phenotypic and genotypic characterization of single circulating tumor cells in the follow‐up of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Single circulating tumor cells (sCTCs) from high‐grade serous ovarian cancer patients were enriched, imaged, and genomically profiled using WGA and NGS at different time points during treatment. sCTCs revealed enrichment of alterations in Chromosomes 2, 7, and 12 as well as persistent or emerging oncogenic CNAs, supporting sCTC identity.
Carolin Salmon, Rui P. L. Neves, Nikolas H. Stoecklein, Sven‐Thorsten Liffers, Jens Siveke, Jan D. Kuhlmann, Pauline Wimberger, Paul Buderath, Rainer Kimmig, Sabine Kasimir‐Bauer   +9 more
wiley   +1 more source

Train rescheduling and platforming in large high-speed railway stations

International Journal of Transportation Science and Technology
To deal with train delays in large high-speed railway stations, a multi-objective mixed-integer nonlinear programming (MO-MINLP) optimization model was proposed.
Jing Teng, Jinke Gao, Pengling Wang, Siyuan Qu   +3 more
doaj   +1 more source

Research and prospect of standard for biometric multi-modal fusion used with mobile devices

Dianxin kexue, 2021
Aiming at the problem of inconsistent biometric multi-modal fusion technology framework for mobile devices and lack of standards, a unified technical framework of multi-modal fusion standards was proposed.Firstly, the current status of standardization ...
Guanchen LIN, Zhifei WANG
doaj   +2 more sources

Mutual Complementarity: Multi-Modal Enhancement Semantic Learning for Micro-Video Scene Recognition

IEEE Access, 2020
Scene recognition is one of the hot topics in micro-video understanding, where multi-modal information is commonly used due to its efficient representation ability.
Jie Guo, Xiushan Nie, Yilong Yin
doaj   +1 more source

Understanding of Object Manipulation Actions Using Human Multi-Modal Sensory Data

, 2019
Object manipulation actions represent an important share of the Activities of Daily Living (ADLs). In this work, we study how to enable service robots to use human multi-modal data to understand object manipulation actions, and how they can recognize ...
Abbasi, Bahareh, Noohi, Ehsan, Parastegari, Sina, Zefran, Milos   +3 more
core   +1 more source

Multi-modal Generative AI: Multi-modal LLMs, Diffusions and the Unification

IEEE Transactions on Circuits and Systems for Video Technology
Multi-modal generative AI (Artificial Intelligence) has attracted increasing attention from both academia and industry. Particularly, two dominant families of techniques have emerged: i) Multi-modal large language models (LLMs) demonstrate impressive ability for multi-modal understanding; and ii) Diffusion models exhibit remarkable multi-modal powers ...
Xin Wang, Yuwei Zhou, Bin Huang, Hong Chen, Wenwu Zhu   +4 more
openaire   +2 more sources