Results 131 to 140 of about 220,793 (302)

Induced Proprioceptor and Low‐Threshold Mechanoreceptor Neurons Derived from Human Pluripotent Stem Cells Exhibit Distinct Functional Mechanosensory Properties

Advanced Science, EarlyView.
This study describes derivation of two distinct mechanosensory subpopulations from human pluripotent stem cells using a transcription factor mediated approach. Of significance, functional interrogation of induced mechanosensory subtypes reveal their unique responses to mechanical stimulation in the absence of end‐organs.
Amy J. Hulme, Rocio K. Finol‐Urdaneta, Jeffrey R. McArthur, Nicholas R. Marzano, Simon Maksour, Amarinder Thind, Yang Guo, Dominic Kaul, Marnie Maddock, Oliver Friedrich, Boris Martinac, David J. Adams, Mirella Dottori   +12 more
wiley   +1 more source

A Chattering Suppression of Proportional Sliding Mode Control with Composite Nonlinear Feedback Technique using Sigmoid Function for MacPherson Active Suspension System

Applications of Modelling and Simulation, 2018
The chattering problem phenomenon occurred due to the high-frequency switching of a sliding mode controller exciting unmodelled dynamics in the closed loop.
M. Fahezal Ismail, Yahaya Md. Sam, S. Sudin, K. Peng, M. Khairi Aripin   +4 more
doaj  

A Rationally Engineered Spleen‐Tropic One‐Component Lipid‐mRNA Complex (OncoLRC) for Cancer Vaccines

Advanced Science, EarlyView.
OncoLRC, a one‐component lipid‐mRNA complex, enables efficient spleen‐targeted delivery at an exceptionally low lipid‐to‐mRNA mass ratio (1.5:1), robustly activates immune responses, inhibits tumor growth, and synergizes with checkpoint blockade, presenting a next‐generation platform for mRNA vaccines.
Qimeng Yin, Chenchen Zhang, Jiahao Li, Kun Huang, Min Qiu   +4 more
wiley   +1 more source

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

Advanced Science, EarlyView.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu, Minhui Ouyang, Shufang Tan, Jianlin Guo, Ziqin Zhang, Xuan Liu, Risheng Liu, Hao Huang   +7 more
wiley   +1 more source

Efficient FPGA Implementation of Sigmoid and Bipolar Sigmoid Activation Functions for Multilayer Perceptrons

IOSR Journal of Engineering, 2012
Artificial Neural Networks base their processing capabilities in a parallel architecture. This makes them extremely useful in pattern recognition, system identification and control problems. Multilayer Perceptron is an artificial neural network with one or more hidden layers. The Activation function determines the performance of a Multilayer Perceptron.
openaire   +1 more source

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

Advanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi, Mohammad Mahdi Hosseini, Ahmadreza Argha, Roxana Zahedi, Nigel H. Lovell, Hamid Alinejad‐Rokny   +5 more
wiley   +1 more source

Temporal Link Prediction via Adjusted Sigmoid Function and 2-Simplex Sructure [PDF]

, 2022
Ruizhi Zhang, Qiaozi Wang, Qiming Yang, Wei Wei   +3 more
openalex   +1 more source

Supramolecular Phase Change Materials for Spatiotemporally Thermal Energy Utilization

Advanced Science, EarlyView.
The long‐term storage as well as switchable and controllable release of thermal energy using activated perethylated pillar[5]arene EtP5 (EtP5α) is demonstrated for the first time. High thermal energy storage capacity can be maintained over 20 thermal cycles and for more than 365 days at room temperature, which is the PCMs that can store thermal energy ...
Miaomiao Yan, Cong Liu, Ruolan Tang, Xueyu Zhu, Zongbin Li, Jiong Zhou   +5 more
wiley   +1 more source

Multifactor prediction model for stock market analysis based on deep learning techniques

Scientific Reports
Stock market stability relies on the shares, investors, and stakeholders’ participation and global commodity exchanges. In general, multiple factors influence the stock market stability to ensure profitable returns and commodity transactions.
Kangyi Wang
doaj   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

Advanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen, Jindi Huang, Cong Liu, Shipeng Zhang, Xinze Li, Zhang Zhang, Tie‐Gen Chen, Ling Wang   +7 more
wiley   +1 more source