Results 241 to 250 of about 338,729 (282)

Quantifying salinity in calcareous soils through advanced spectroscopic models: A comparative study of random forests and regression techniques across diverse land use systems. [PDF]

PLoS One
Tahmoures M, Honarbakhsh A, Afzali SF, Nourzadeh Hadad M, Ostovari Y.   +4 more
europepmc   +1 more source

ANXA2‐mediated Phagocytosis Generates AR+ Macrophages to Confer Enzalutamide Resistance in Prostate Cancer

Advanced Science, EarlyView.
A novel resistance mechanism is mediated through phagocytosis of cancer cells by AR+ TAMs. This process, dependent on ANXA2, enables macrophages to acquire AR protein from engulfed tumor cells. The internalized AR translocates into the macrophage nucleus, where it binds directly to the IL‐6 promoter, augmenting IL‐6 transcription and secretion ...
Yong Luo, Tianlong Luo, Lingfeng Li, Qi Sun, Dongquan Li, Shanhe Huang, Zonglin Li, Weilong Lin, Yuan Ou, Tao Du, Shengmeng Peng, Kewei Xu, Bisheng Cheng, Hai Huang   +13 more
wiley   +1 more source

Photodynamic Priming and Minocycline Overcome Chemoresistance by Reprogramming the Pancreatic Tumor Immune Microenvironment In Vivo

Advanced Science, EarlyView.
Dual priming with minocycline and photodynamic priming reprograms the pancreatic tumor microenvironment to overcome chemoresistance. By suppressing DNA repair enzyme Tdp1, inducing photooxidative damage, and enhancing irinotecan delivery via light‐activated nanoencapsulation, this strategy remodels the tumor microenvironment and drives immune ...
Fernanda V. Cabral, Jose Quilez‐Alburquerque, Olivia Mooradian, Shivendran Vytheswarran, Badri Parshad, Girgis Obaid, Huang‐Chiao Huang, Tayyaba Hasan   +7 more
wiley   +1 more source

Precipitation‐Modulated Harmonic Architectures Enable Superior Strength–Ductility Synergy from Cryogenic to Elevated Temperatures in Nanostructured Alloys

Advanced Science, EarlyView.
Precipitation‐modulated recrystallization enables a programmable bimodal harmonic architecture in a high‐entropy alloy, delivering 1–2 GPa yield strength with >10% ductility from −196 °C to 700 °C. The resulting broad‐temperature robustness arises from the synergy of dual‐mode nanoprecipitation, harmonic core–shell topology, and temperature‐adaptive ...
Wei Li, Liangyin Xiong, Mengchao Niu, Junhua Luan, Wei Wang, Zengbao Jiao   +5 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source

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On learning Random Forests for Random Forest-clustering

2020 25th International Conference on Pattern Recognition (ICPR), 2021
In this paper we study the poorly investigated problem of learning Random Forests for distance-based Random Forest clustering. We studied both classic schemes as well as alternative approaches, novel in this context. In particular, we investigated the suitability of Gaussian Density Forests [1], Random Forests specifically designed for density ...
Bicego, M, Escolano, F
openaire   +2 more sources

Components of Random Forests

Combinatorics, Probability and Computing, 1992
A forest ℱ(n, M) chosen uniformly from the family of all labelled unrooted forests with n vertices and M edges is studied. We show that, like the Érdős-Rényi random graph G(n, M), the random forest exhibits three modes of asymptotic behaviour: subcritical, nearcritical and supercritical, with the phase transition at the point M = n/2.
Tomasz Luczak 0001, Boris G. Pittel
openaire   +2 more sources

A comparison of random forest based algorithms: random credal random forest versus oblique random forest

Soft Computing, 2018
Random forest (RF) is an ensemble learning method, and it is considered a reference due to its excellent performance. Several improvements in RF have been published. A kind of improvement for the RF algorithm is based on the use of multivariate decision trees with local optimization process (oblique RF).
Carlos Javier Mantas, Javier G. Castellano, Serafín Moral-García, Joaquín Abellán   +3 more
openaire   +1 more source

Multinomial random forest

Pattern Recognition, 2022
Abstract Despite the impressive performance of random forests (RF), its theoretical properties have not been thoroughly understood. In this paper, we propose a novel RF framework, dubbed multinomial random forest (MRF), to analyze its consistency and privacy-preservation.
Jiawang Bai, Yiming Li 0004, Jiawei Li 0006, Xue Yang 0003, Yong Jiang 0001, Shu-Tao Xia   +5 more
openaire   +1 more source