Results 161 to 170 of about 5,579,561 (370)

Metabolic‐Immune Suppression Mediated by the SIRT1‐CX3CL1 Axis Induces Functional Enhancement of Regulatory T Cells in Colorectal Carcinoma

Advanced Science, EarlyView.
This study discovers that SIRT1, a hub gene involved in glucolipid metabolic conversion in colorectal carcinoma (CRC), stimulates CX3CL1 secretion in CRC cells by activating FOXO1. The CX3CL1‐CX3CR1 signaling promotes the differentiation of TCF7+ regulatory T cells (Tregs) into an enhanced immunosuppressive TNFRSF9+ Treg phenotype.
Ruiyang Zi, Xiang Zhao, Limei Liu, Yijie Wang, Rui Zhang, Zhiheng Bian, Haoran Jiang, Taorui Liu, Yixin Sun, Han Peng, Xuesong Wang, Fanghao Lu, Chao Zhang, Fan Zhang, Qing Qin, Houjie Liang, Jianjun Li, Zhihao Wei, Yan Dong   +18 more
wiley   +1 more source

Interpreting Tree Ensembles with inTrees [PDF]

arXiv, 2014
Tree ensembles such as random forests and boosted trees are accurate but difficult to understand, debug and deploy. In this work, we provide the inTrees (interpretable trees) framework that extracts, measures, prunes and selects rules from a tree ensemble, and calculates frequent variable interactions.
arxiv  

Asymptotics for Euclidean minimal spanning trees on random points [PDF]

, 1992
David Aldous, J. Michael Steele
openalex   +1 more source

Interpretable Machine‐Learning and Big Data Mining to Predict the CO2 Separation in Polymer‐MOF Mixed Matrix Membranes

Advanced Science, EarlyView.
To explore the structure‐property relationships of MMM (Mixed Matrix Membranes), the big data mining is employed and a transfer learning model is trained for predicting and selecting the optimal MMM materials. It achieves fast computation for the separation of CO2 in MMM.
Hao Wan, Yue Fang, Min Hu, Shuya Guo, Zhiqiang Sui, Xiaoshan Huang, Zili Liu, Yue Zhao, Hong Liang, Yufang Wu, Hanyu Gao, Zhiwei Qiao   +11 more
wiley   +1 more source

Finding the seed of uniform attachment trees [PDF]

arXiv, 2018
A uniform attachment tree is a random tree that is generated dynamically. Starting from a fixed "seed" tree, vertices are added sequentially by attaching each vertex to an existing vertex chosen uniformly at random. Upon observing a large (unlabeled) tree, one wishes to find the initial seed.
arxiv  

Simulating medical decision trees with random variable parameters [PDF]

, 1992
Robert S. Dittus, Robert W. Klein
openalex   +1 more source

Bioprinted Patient‐Derived Organoid Arrays Capture Intrinsic and Extrinsic Tumor Features for Advanced Personalized Medicine

Advanced Science, EarlyView.
An embedded bioprinting enabled‐arrayed patient‐derived organoids (Eba‐PDO) platform that replicates intrinsic and extrinsic tumor characteristics is introduced. Eba‐PDOs more accurately mimic tissue than standard PDOs (Std‐PDOs) due to maturation in the tumor microenvironment.
Jonghyeuk Han, Hye‐Jin Jeong, Jeonghan Choi, Hyeonseo Kim, Taejoon Kwon, Kyungjae Myung, Kyemyung Park, Jung In Park, Samuel Sánchez, Deok‐Beom Jung, Chang Sik Yu, In Ho Song, Jin‐Hyung Shim, Seung‐Jae Myung, Hyun‐Wook Kang, Tae‐Eun Park   +15 more
wiley   +1 more source

Stand spatial structure and productivity based on random structural unit in Larix principis‐rupprechtii forests

Ecosphere
Stand spatial structure plays a key role in forest management, and in particular the random structural unit, comprising random tree and its neighbors, largely determines forest stability and its productivity.
Jing Zhang, Chong Liu, Zhaoxuan Ge, Zhidong Zhang   +3 more
doaj   +1 more source

GRP78 Nanobody‐Directed Immunotoxin Activates Innate Immunity Through STING Pathway to Synergize Tumor Immunotherapy

Advanced Science, EarlyView.
A GRP78 nanobody‐directed immunotoxin suppresses cancer progression and metastasis by enhancing antitumor immunity via STING pathway activation, offering a pan‐cancer‐targeted approach and immunotherapy combination strategy. Abstract The lack of targetable antigens poses a significant challenge in developing effective cancer‐targeted therapies.
Huifang Wang, Runhua Zhou, Chengchao Xu, Lingyun Dai, Rui Hou, Liuhai Zheng, Chunjin Fu, Guangwei Shi, Jingwei Wang, Yang Li, Jinpeng Cen, Xiaolong Xu, Le Yu, Yilei Li, Jigang Wang, Qingfeng Du, Zhijie Li   +16 more
wiley   +1 more source

Constructing Binomial Trees Via Random Maps for Analysis of Financial Assets

Revista Brasileira de Finanças, 2010
Random maps can be constructed from a priori knowledge of the financial assets. It is also addressed the reverse problem, i.e. from a function of an empirical stationary probability density function we set up a random map that naturally leads to an ...
Antonio Airton Carneiro de Freitas, José Roberto Securato   +1 more
doaj