Results 41 to 50 of about 4,842 (263)

Traction Force Microscopy for Viscoelastic Substrates: A Semi‐Analytical Method

Advanced Science, EarlyView.
A semi‐analytical viscoelastic traction force microscopy framework is introduced for quantifying time‐resolved cell tractions on flat finite‐thickness substrates. The method generalizes elastic traction force microscopy to Generalized Maxwell materials, identifies when elastic approximations remain valid and, when they do not, shows that inferred ...
Adrià Villacrosa‐Ribas, Daniëlle C. A. Duffhues, Pim van den Bersselaar, Sarah Pragnere, Bart G. W. Groenen, Mariana Azevedo Gonzalez Oliva, Giuseppe Ciccone, Manuel Salmeron‐Sanchez, Carlijn V. C. Bouten, Jose J. Muñoz, Vito Conte   +10 more
wiley   +1 more source

MambaLIC: State-Space Models for Efficient Remote Sensing Image Compression

Remote Sensing
Remote sensing (RS) images, characterized by their large size and rich texture, require algorithms capable of effectively integrating both global and local features for compression.
Haobo Xiong, Kai Liu, Huachao Xiao, Chongyang Ding, Feiyang Wang   +4 more
doaj   +1 more source

Lyophilized Synthetic Platelets: In Vitro Characterization and in Vivo Evaluation in Mouse Thrombocytopenia Model

Advanced Science, EarlyView.
ABSTRACT Platelet transfusions to treat bleeding complications use donor‐derived platelets stored at room‐temperature, that have a shelf‐life of only 5–7 days due to bacterial contamination risks. Cold‐stored and freeze‐dried platelets are being investigated for extending shelf‐life, but these still have the inherent challenge of donor‐dependency.
Ujjal Didar Singh Sekhon, Dante Disharoon, Shrijal S. Desai, Baylee Traylor, Emily Gahagan, Emma Quill, Kristin Aldridge, Norman F. Luc, Sonali Rohiwal, Shruti Raghunathan, Rebecca Ahn, Sana Syed, Alexander Dornback, Bipin Chakravarthy Paruchuri, Andrew Ditto, Susan M. Shea, Philip C. Spinella, Matthew D. Neal, Michael A. Bruckman, Christa L. Pawlowski, Anirban Sen Gupta   +20 more
wiley   +1 more source

State-space Model Based Inverse Reinforcement Learning for Reward Function Estimation in Brain-machine Interfaces

, 2023
The use of reinforcement learning (RL) in brain machine interfaces (BMIs) is considered to be a promising method for neural decoding. One key component of RL-based BMIs is the reward signal, which is used to guide decoders to update the parameters ...
ZHANG, Xiang, WU, Shenghui, Wang, Yiwen, TAN, Jieyuan   +3 more
core   +1 more source

Fine‐Tuned Regulation of mRNA Translation and Transport by STAU2 Condensate Facilitates Neuronal Development and Plasticity

Advanced Science, EarlyView.
STAU2 undergoes phase separation to form dynamic condensates that package target mRNAs and deliver them to the distal ends of growing neuronal dendrites. STAU2 condensates stabilize embedded mRNAs and repress their translation. Synaptic activity bidirectionally remodels STAU2 condensates, coordinating local translation of STAU2‐associated mRNAs ...
Shijing Huang, Yuanyuan Chu, Ruiqian Zhao, Siyu Li, Yu Feng, Hongdan Zheng, Yunli Xie, Tong Wang, Wenyu Wen   +8 more
wiley   +1 more source

SSM-RDU: A Reconfigurable Dataflow Unit for Long-Sequence State-Space Models

2025 IEEE 43rd International Conference on Computer Design (ICCD)
Long-sequence state-space models (SSMs) such as Hyena and Mamba replace the quadratic complexity of self-attention with more efficient FFT and scan operations. However, modern accelerators like GPUs are poorly suited to these non-GEMM workloads due to rigid execution models and specialization for dense matrix operations.
Sho Ko, Kunle Olukotun
openaire   +2 more sources

The Third‐Generation Magnetic Super‐Stable Mineralizer: Complete Removal and Separation of Multiple Heavy Metal Pollutants

Advanced Science, EarlyView.
The 3rd‐generation magnetic super‐stable mineralizer M‐MgAl‐700 features a core‐shell structure, strong superparamagnetism, large surface area, and abundant oxygen defects. It achieves exceptional Cd(II) and As(V) mineralization capacities, reducing both pollutants in co‐contaminated water and soil to meet national standards.
Haoran Wang, Menghan Huang, Ruihua Mao, Xiaohan Zhang, Zhaohui Wu, Xiaofeng Pang, Tong Lin, Dongyuan Cui, Sai An, Yu‐Fei Song   +9 more
wiley   +1 more source

Bayesian State-Space Modelling of Conventional Acoustic Tracking Provides Accurate Descriptors of Home Range Behavior in a Small-Bodied Coastal Fish Species. [PDF]

PLoS ONE, 2016
State-space models (SSM) are increasingly applied in studies involving biotelemetry-generated positional data because they are able to estimate movement parameters from positions that are unobserved or have been observed with non-negligible observational
Josep Alós, Miquel Palmer, Salvador Balle, Robert Arlinghaus   +3 more
doaj   +1 more source

Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning

Advanced Science, EarlyView.
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng, Mingwei He, Jeff Zhu, Sujit K. Sahoo, Liheng Bian, Cuong Dang   +5 more
wiley   +1 more source

Efficient Method for Photovoltaic Power Generation Forecasting Based on State Space Modeling and BiTCN

Sensors
As global carbon reduction initiatives progress and the new energy sector rapidly develops, photovoltaic (PV) power generation is playing an increasingly significant role in renewable energy.
Guowei Dai, Shuai Luo, Hu Chen, Yulong Ji   +3 more
doaj   +1 more source