Results 171 to 180 of about 202,833 (274)

Abstract cognitive maps of social network structure aid adaptive inference. [PDF]

Proc Natl Acad Sci U S A, 2023
Son JY, Bhandari A, FeldmanHall O.
europepmc   +1 more source

Random variables, trees, and branching random walks [PDF]

, 1973
Joffe, A, Moncayo, A.R
core   +1 more source

Highly Absorbent Ultrafast Self‐Gelling Starch Microparticles for Robust Wet‐Tissue Adhesion and Instant Hemostasis

Advanced Science, EarlyView.
The aldehyde‐ and catechol‐modified starch (ACS) microparticle (MP) is developed by chemical modifications and freeze‐milling after calcium intercalation for highly absorbent and tissue‐adhesive properties. The ACS‐MP can be self‐gelled upon contact with biological fluids and blood on tissue surfaces, rapidly absorbing them and achieving robust wet ...
Soohwan An, Jihoon Jeon, Seung Yeop Han, Mi Jeong Lee, Tae‐Gyeong Oh, Eun Je Jeon, Dong Jin Joo, Seung‐Woo Cho   +7 more
wiley   +1 more source

Random Walk on T-Fractal with Stochastic Resetting. [PDF]

Entropy (Basel)
Sun X, Li A, Zhu S, Zhu F.
europepmc   +1 more source

Generation of a High‐Precision Whole Liver Panorama and Cross‐Scale 3D Pathological Analysis for Hepatic Fibrosis

Advanced Science, EarlyView.
Using the MOSTtechnology and whole‐liver Nissl staining method, a multi‐structural 3D pathological panorama of liver fibrosis is obtained. The damaged sinusoids, steatotic hepatocytes, and collagen deposition are all concentrated in pericentral areas.
Xiaochuan Zhang, Weicheng Yang, Xiaoliang Li, Yanli Zhao, Zongneng Xie, Shuangqu Li, Yue Zeng, Xiaoxu Hao, Xiaohong Xin, Yu Zhang, Zixuan Feng, Hualiang Jiang, Zhaobing Gao, Xianzhen Yin   +13 more
wiley   +1 more source

4D pathology: translating dynamic epithelial tubulogenesis to prostate cancer pathology. [PDF]

Histopathology
Harikumar H, van Royen ME, van Leenders GJ.   +2 more
europepmc   +1 more source

Real‐Time Self‐Optimization of Quantum Dot Laser Emissions During Machine Learning‐Assisted Epitaxy

Advanced Science, EarlyView.
This work presents a machine learning‐driven approach integrated with in situ high‐energy electron diffraction (RHEED) monitoring to automate the optimization of quantum dot (QD) growth for lasers. A 3.2‐fold increase in photoluminescence intensity is achieved alongside a narrow spectral linewidth.
Chao Shen, Wenkang Zhan, Shujie Pan, Hongyue Hao, Ning Zhuo, Kaiyao Xin, Hui Cong, Chi Xu, Bo Xu, Tien Khee Ng, Siming Chen, Chunlai Xue, Zhanguo Wang, Chao Zhao   +13 more
wiley   +1 more source

Flowtigs: Safety in flow decompositions for assembly graphs. [PDF]

iScience
Sena F, Ingervo E, Khan S, Prjibelski A, Schmidt S, Tomescu A.   +5 more
europepmc   +1 more source

Influence of network defects on the conformational structure of nanogel particles: From "closed compact" to "open fractal" nanogel particles. [PDF]

J Chem Phys, 2022
Chremos A, Horkay F, Douglas JF.
europepmc   +1 more source

Exponential rate of L_p-convergence of intrinsic martingales in supercritical branching random walks

, 2009
Gerold Alsmeyer, Alexander Iksanov, Sergej Polotsky, Uwe Roesler   +3 more
openalex   +2 more sources