Results 231 to 240 of about 334,720 (282)

Programmable Multifunctional Bistable Structures for Energy Transfer and Dissipation

Advanced Science, EarlyView.
Utilizing the energy conversion characteristics of asymmetric bistable beams, this study develops a programmable multifunctional system composed of multiple bistable beams for energy transfer and dissipation. The high energy density enables the system to demonstrate potential in transient scenarios such as target delivery and shock absorption ...
Xin Na, Jincong Zhang, Zhicheng Chen, Venkatarao Selamneni, Haotian Chen, Hadi Heidari, Morteza Amjadi   +6 more
wiley   +1 more source

Chaperone‐Mediated Autophagic Degradation of USP9X in Macrophages Exacerbates Postmyocardial Infarction Inflammation and Cardiac Dysfunction

Advanced Science, EarlyView.
This study demonstrates that inflammatory stimuli induce the acetylation‐triggered, chaperone‐mediated autophagic degradation of ubiquitin‐specific peptidase 9 X‐linked (USP9X) in macrophages. USP9X acts as a macrophage “inflammation switch” after myocardial infarction (MI). USP9X loss destabilizes tumor necrosis factor receptor‐associated factor (TRAF)
Biqing Wang, Xiangheng Cai, Mengqi Li, Xue Liu, Junhui Xue, Ye Liu, Ding Ai, Xinyang Hu   +7 more
wiley   +1 more source

Decoding the Cardiac Immune Microenvironment and Fibroblast Crosstalk in Radiotherapy Combined with Immunotherapy‐Induced Cardiac Fibrosis Based on Single‐Cell Transcriptomic Analysis

Advanced Science, EarlyView.
This study highlights that radioimmunotherapy drives crosstalk between fibroblasts and immune cells (especially macrophages) in the cardiac microenvironment, with IL‐6 as the key mediator, and tocilizumab alleviates cardiac fibrosis by targeting this interplay.
Yuxi Luo, Ying Yu, Zhimin Zeng, Yanxin Chen, Yali Yi, Zhiqin Lu, Fujuan Zeng, Peng Xu, Daya Luo, Leifeng Chen, Anwen Liu   +10 more
wiley   +1 more source

cuteHap: Haplotype‐Aware Structural Variant Detection in Phased Long‐Read Sequencing Data

Advanced Science, EarlyView.
cuteHap is a haplotype‐aware structural variant detection method designed for phased long‐read sequencing. By employing self‐adaptive clustering and credibility‐prioritized beam search algorithms, cuteHap generates accurate haplotype‐resolved calls and outperforms state‐of‐the‐art tools.
Shuqi Cao, Yadong Liu, Miao Cui, Runtian Gao, Weimin Guo, Guohua Wang, Yadong Wang, Tao Jiang   +7 more
wiley   +1 more source

Understanding the Roles of Microstructure and Viscoelasticity of Soft Ionic Elastomer for Super‐Capacitive Pressure Sensors

Advanced Science, EarlyView.
By engineering the PVA/H3PO4 ionic elastomer with optimized viscoelasticity and a height‐graded microstructure, the pressure sensor achieves a broad linear range up to 2000 kPa and a high sensitivity of 2.70 nF/kPa. These advancements underscore its strong potential for wearable electronics, including bio‐signal detection, health monitoring, and ...
Allen J. Cheng, Wenkai Chang, Zhuohan Cao, Zhao Sha, Shuai He, Ming Xuan Chua, Bingnong Jiang, Yuansen Qiao, Ziyan Gao, Wenkui Dong, Wengui Li, Liao Wu, Dewei Chu, Shuhua Peng   +13 more
wiley   +1 more source

Diabetes Mellitus Facilitates Gallstone Formation Through CXCR2‐NETs–Mediated Liver‐Bile Barrier Damage

Advanced Science, EarlyView.
Diabetes is an independent risk factor for gallstones. It upregulates CXCR2 expression in hepatic neutrophils, stimulating the formation of NETs that disrupt hepatocellular tight junctions and the liver‐bile barrier. NETs enter bile to accelerate gallstone development, while sarcosine inhibits CXCR2 and NETs production, effectively reducing diabetes ...
Chao Shi, Shuo Feng, Tianming Liu, Ziang Meng, Yi Zheng, Zhenghao Huang, Tong Wang, Bojian Zhang, Dongbo Xue, Biao Ma, Xianzhi Meng   +10 more
wiley   +1 more source

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Optimizing random forests: spark implementations of random genetic forests

BOHR International Journal of Engineering, 2022
The Random Forest (RF) algorithm, originally proposed by Breiman et al. (1), is a widely used machine learning algorithm that gains its merit from its fast learning speed as well as high classification accuracy. However, despiteits widespread use, the different mechanisms at work in Breiman’s RF are not yet fully understood, and there is stillon-going ...
Sikha Bagui, Timothy Bennett
openaire   +1 more source

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 J. Mantas, Javier G. Castellano, Serafín Moral-García, Joaquín Abellán   +3 more
openaire   +1 more source

Random Forest

Journal of Insurance Medicine, 2017
For the task of analyzing survival data to derive risk factors associated with mortality, physicians, researchers, and biostatisticians have typically relied on certain types of regression techniques, most notably the Cox model. With the advent of more widely distributed computing power, methods which require more complex mathematics have become ...
openaire   +2 more sources

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