Results 11 to 20 of about 13,981 (216)

Emergence of cytotoxic resistance in cancer cell populations*

ITM Web of Conferences, 2015
We formulate an individual-based model and an integro-differential model of phenotypic evolution, under cytotoxic drugs, in a cancer cell population structured by the expression levels of survival-potential and proliferation-potential.
Lorenzi Tommaso, Chisholm Rebecca H., Lorz Alexander, Larsen Annette K., de Almeida Luís Neves, Escargueil Alexandre, Clairambault Jean   +6 more
doaj   +1 more source

Neutralization of the lethality of the venom of Dendroaspis polylepis (black mamba) in mice by two polyvalent antivenoms used in Kenyan hospitals: Results of a 2009–2011 study

Scientific African, 2019
The black mamba is a common snake in Sub-Saharan Africa, a region with a high burden of snakebite envenoming. Differences in the composition and toxicity of the venom of this snake as one moves from one region to another within Sub-Saharan Africa, and ...
Francis Okumu Ochola, Mitchel Otieno Okumu, Joseph Kangangi Gikunju, James Mucunu Mbaria, Gerald Mwangi Muchemi, Joseph Gichuki Nderitu   +5 more
doaj   +1 more source

RS-Mamba for Large Remote Sensing Image Dense Prediction [PDF]

IEEE Transactions on Geoscience and Remote Sensing
Context modeling is critical for remote sensing image dense prediction tasks. Nowadays, the growing size of very-high-resolution (VHR) remote sensing images poses challenges in effectively modeling context.
Sijie Zhao, Hao Chen, Xue-liang Zhang, P. Xiao, Lei Bai, Wanli Ouyang   +5 more
semanticscholar   +1 more source

Mamba Modulation: On the Length Generalization of Mamba

CoRR
The quadratic complexity of the attention mechanism in Transformer models has motivated the development of alternative architectures with sub-quadratic scaling, such as state-space models. Among these, Mamba has emerged as a leading architecture, achieving state-of-the-art results across a range of language modeling tasks.
Peng Lu 0006, Jerry Huang, Qiuhao Zeng, Xinyu Wang 0061, Boxing Wang, Philippe Langlais, Yufei Cui   +6 more
openaire   +2 more sources

Differential Mamba

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
Sequence models like Transformers and RNNs often overallocate attention to irrelevant context, leading to noisy intermediate representations. This degrades LLM capabilities by promoting hallucinations, weakening long-range and retrieval abilities, and reducing robustness.
Nadav Schneider, Itamar Zimerman, Eliya Nachmani   +2 more
openaire   +3 more sources

STCM-Mamba: Multimodal Spatio-Temporal Cross-Modal Mamba for Depression Detection

IEEE Access
Depression is a prevalent mental disorder with severe physiological symptoms and high diagnosis costs, however, the development of efficient and accurate depression detection systems remains challenging.
Bowen Zhou, Marc-Andre Fiedler, Ayoub Al-Hamadi   +2 more
doaj   +1 more source

A Survey of Mamba

ACM Transactions on Intelligent Systems and Technology
Deep learning (DL), as a vital technique, has sparked a notable revolution in artificial intelligence (AI), resulting in a great change in human lifestyles. As one of the most representative DL techniques, the Transformer architecture has empowered numerous advanced models, especially the large language models (LLMs) that comprise ...
Haohao Qu, Liangbo Ning, Rui An, Wenqi Fan, Tyler Derr, Hui Liu, Xin Xu, Qing Li   +7 more
openaire   +2 more sources

How a reaction-diffusion signal can control spinal cord regeneration in axolotls: A modeling study

iScience
Summary: Axolotls are uniquely able to completely regenerate the spinal cord after amputation. The underlying governing mechanisms of this regenerative response have not yet been fully elucidated.
Valeria Caliaro, Diane Peurichard, Osvaldo Chara   +2 more
doaj   +1 more source

PointSSM: State space model for large-scale LiDAR point cloud semantic segmentation

International Journal of Applied Earth Observations and Geoinformation
LiDAR point cloud semantic segmentation is the foundation of numerous practical applications. Recently, the Mamba, as a promising alternative to Transformer, has been getting intense attention in this field.
Dilong Li, Jianlong Guan, Ziyi Chen, Jingchen Liao, Jixiang Du   +4 more
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga   +2 more
wiley   +1 more source