Results 71 to 80 of about 140,409 (275)

PD‐1 Inhibits CD4+ TRM‐Mediated cDC1 Mobilization via Suppressing JAML in Human NSCLC

Advanced Science, EarlyView.
CD4+ tissue‐resident memory T cells (TRMs) in non‐small cell lung cancer recruit conventional type 1 dendritic cells via XCL1‐XCR1 signaling, orchestrating antitumor immunity. The costimulatory molecule JAML is essential for this process. PD‐1 blockade restores JAML expression and cDC1 mobilization, while JAML agonists synergize with anti‐PD‐1 therapy,
Zheyu Shao, Qinyuan Liu, Zhongwei Xin, Zhiyao Zhou, Mingjie Lin, Di Chen, Zhixing Hao, Yongyuan Chen, Wenxuan Wu, Shuyang Zhang, Xiaoke Chen, Xia Xu, Jinfan Li, Wei Lin, Yuhao Lu, Dang Wu, Pin Wu   +16 more
wiley   +1 more source

Boolean Gossip Networks

IEEE/ACM Transactions on Networking, 2018
This paper proposes and investigates a Boolean gossip model as a simplified but non-trivial probabilistic Boolean network. With positive node interactions, in view of standard theories from Markov chains, we prove that the node states asymptotically converge to an agreement at a binary random variable, whose distribution is characterized for large ...
Bo Li, Junfeng Wu, Hongsheng Qi, Alexandre Proutiere, Guodong Shi   +4 more
openaire   +2 more sources

On the Origins of Toughness in Corymbia calophylla (Marri Tree) Nuts

Advanced Science, EarlyView.
We uncover the natural toughening mechanisms of the marri nut, including fiber pullout, crack deflection, and a viscoelastic matrix, which enable exceptional energy absorption and ductility comparable to Teflon, with an elastic modulus similar to acrylic.
Wegood M. Awad, Ahmed S. Dalaq, Marieh B. Al‐Handawi, Rezo Getsadze, Oraib Al‐Ketan, James Weston, Mohammed Daqaq, Panče Naumov   +7 more
wiley   +1 more source

A Novel Data-Driven Boolean Model for Genetic Regulatory Networks

Frontiers in Physiology, 2018
A Boolean model is a simple, discrete and dynamic model without the need to consider the effects at the intermediate levels. However, little effort has been made into constructing activation, inhibition, and protein decay networks, which could indicate ...
Leshi Chen, Don Kulasiri, Sandhya Samarasinghe   +2 more
doaj   +1 more source

ACCELERATION OF BOOLEAN GENE REGULATORY NETWORKS ANALYSIS USING FPGA

Сучасні інформаційні системи, 2023
Gene expression does not occur arbitrarily and spontaneously, it obeys certain patterns that can be expressed as a connected graph or network. The disclosure of these patterns requires a large amount of experimental research and accumulation of ...
Oleg Vasylchenkov , Dmytro Salnikov , Dmytro Karaman   +2 more
doaj   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

Advanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño, Víctor M. de la Oliva Roque, Javier‐Ignacio Ramirez‐Lopez, David P. Kreil, Joaquín Dopazo, Carlos Loucera   +5 more
wiley   +1 more source

Learning, Generalization, and Functional Entropy in Random Automata Networks [PDF]

, 2013
It has been shown \citep{broeck90:physicalreview,patarnello87:europhys} that feedforward Boolean networks can learn to perform specific simple tasks and generalize well if only a subset of the learning examples is provided for learning.
Goudarzi, Alireza, Gulbahce, Natali, Rohlf, Thimo, Teuscher, Christof   +3 more
core  

A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials

Advanced Science, EarlyView.
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu, Quanqing Tao, Junhao Ding, Shuo Qu, Haitao Ye, Jun Wei Chua, Tianxiao Niu, Rui Li, Winston Wai Shing Ma, Haoming Mo, Hui Liu, Wei Zhai, Xinwei Li, Xu Song   +13 more
wiley   +1 more source

The properties of attractors of canalyzing random Boolean networks

, 2005
We study critical random Boolean networks with two inputs per node that contain only canalyzing functions. We present a phenomenological theory that explains how a frozen core of nodes that are frozen on all attractors arises.
B. Drossel, C. Gershenson, M. Aldana-Gonzalez, S. Bilke, U. Paul, V. Kaufman   +5 more
core   +1 more source

vEMRec: High‐Resolution Volume Electron Microscopy Reconstruction Based on Structure‐Preserving and High‐Fidelity 3D Alignment

Advanced Science, EarlyView.
vEMRec is a frequency‐adaptive computational framework for three‐dimensional alignment in volume electron microscopy. It integrates feature‐based rigid alignment with Gaussian filter‐guided elastic registration to correct rigid misalignments and nonlinear distortions while preserving structural fidelity.
Zhenbang Zhang, Hongjia Li, Zhongjun Yang, Zhiqiang Xu, Duanchen Sun, Xin Gao, Fa Zhang, Renmin Han   +7 more
wiley   +1 more source