Results 111 to 120 of about 3,935,477 (223)

Classifying adaxial and abaxial sides of diseased citrus leaves with selected hyperspectral bands and YOLOv8

Smart Agricultural Technology
Huanglongbing (HLB; citrus greening) and citrus canker are invasive diseases afflicting Florida citrus groves, causing financial losses through yield loss, smaller fruit, blemishes, premature fruit drop and/or eventual tree death.
Quentin Frederick, Thomas Burks, Pappu Kumar Yadav, Jianwei Qin, Moon Kim, Megan Dewdney   +5 more
doaj   +1 more source

Neuron‐Derived Vesicular circMagi1 Restrains Vascular Repair After Ischemic Stroke by Promoting TRIM65‐Mediated ANXA2 Degradation

Advanced Science, EarlyView.
After ischemic stroke, injured neurons transfer circMagi1 to endothelial cells through extracellular vesicles. Within endothelial cells, circMagi1 binds ANXA2 and enhances its engagement with TRIM65, promoting ANXA2 ubiquitination and proteasomal degradation to constrain angiogenic repair.
Youkun Bi, Qun Liu, Baohua Zou, Wenyuan Wang, Xinlong Qiao, Lin Gao, Chaoxu Miao, Ningning Huang, Shuqing Tang, Rui Guo, Changqing Zeng, Ce Jia, Yuanchao Xue, Xuejun Guo, Jianjun Chen, Huiwen Wang, Guangju Ji   +16 more
wiley   +1 more source

Bayesian Ying-Yang System and Theory as a Unified Statistical Learning Approach (I): for Unsupervised and Semi-Unsupervised Learning

, 1997
. A unified statistical learning approach called Bayesian YingYang (BYY) system and theory has been developed by the present author in recent years. This paper is the first part of a recent effort on systematically summarizing this theory. In this paper,
Semi-unsupervised Learning, Lei Xu, For Unsupervised, S. Amari, N. Kassabov, An Invited Book Chapter   +5 more
core  

Unsupervised feature selection with structured graph optimization

, 2016
Since amounts of unlabelled and high-dimensional data needed to be processed, unsupervised feature selection has become an important and challenging problem in machine learning.
Zhu, Wei, Nie, Feiping, Li, Xuelong, Feiping Nie, Wei Zhu, Xuelong Li   +5 more
core   +1 more source

Temporal Trajectories of the Tau Aggregate Interactome Reveal Stage‐Specific Vulnerabilities in Alzheimer's Disease

Advanced Science, EarlyView.
Tau populations with different aggregation states associate with distinct sets of proteins in the Alzheimer's disease brain. Proteomic discovery combined with single‐molecule analysis in neurons reveals dynamic associations involving proteostasis, metabolism and RNA biology.
Dorothea Böken, Paula Beltran Lobo, Yunzhao Wu, Lyla A. Rowe, Emre Fertan, Cara L. Croft, Maria Jimenez‐Sanchez, Dezerae Cox, David Klenerman   +8 more
wiley   +1 more source

Acid‐Responsive Nanobot‐Integrated Core‐Shell Microneedles Reprogram the Degenerative Annulus Fibrosus Microenvironment Through Epigenetic Suppression of Ferroptosis

Advanced Science, EarlyView.
An acid‐responsive core‐shell microneedle system normalizes the degenerative annulus fibrosus microenvironment by consuming pathological H+, generating O2, and providing NIR‐amplified redox buffering. Mechanistically, it epigenetically suppresses ferroptosis via DNMT3A‐dependent methylation of the ATF3 promoter, relieving ATF3‐mediated repression of ...
Lu Tan, Yan Zheng, Yue Lan, Zhuo Cheng, Siya Wang, Changqing Li, Yanqiu Wang, Minghan Liu   +7 more
wiley   +1 more source

SSANet-BS: Spectral–Spatial Cross-Dimensional Attention Network for Hyperspectral Band Selection

Remote Sensing
Band selection (BS) aims to reduce redundancy in hyperspectral imagery (HSI). Existing BS approaches typically model HSI only in a single dimension, either spectral or spatial, without exploring the interactions between different dimensions. To this end,
Chuanyu Cui, Xudong Sun, Baijia Fu, Xiaodi Shang   +3 more
doaj   +1 more source

Unsupervised Band Selection Based on Covariance Matrix for Hyperspectral Image Classification

Advances in Space Research
Abstract Spectral-spatial classification in hyperspectral imagery has garnered significant interest due to the potential to leverage detailed spectral and spatial information for improved accuracy. However, noisy, or closely spaced spectral bands in original hyperspectral images can detrimentally affect classification, often leading to their ...
Eman N. Abdelhafez, Ahmed Hagag, Tamer A. Abassy   +2 more
openaire   +1 more source

Group Based Unsupervised Feature Selection

, 2020
Unsupervised feature selection is an important task in machine learning applications, yet challenging due to the unavailability of class labels. Although a few unsupervised methods take advantage of external sources of correlations within feature groups ...
Kushani Perera (14184814), Jeffrey Chan (18026869), Shanika Karunasekera (19105292)   +2 more
core  

A Gut‐Brain Axis Underlying Succinate‐Associated Compulsive‐Like Behavior

Advanced Science, EarlyView.
Gut‐derived succinate is associated with an excitatory‐inhibitory imbalance in dmPFC glutamatergic neurons, involving microglial SUCNR1 activation and vagal afferent signaling via upregulated gut 5‐HT4 receptors along the DVC‐CeA‐dmPFC circuit, changes that are linked to excessive compulsive‐like behavior.
Yi Li, Ying‐Dan Zhang, Wei Wang, Xin‐Yi Wu, Di Li, Xin Gong, Fei Tian, Meng‐Yu Dai, Jian Gao, Zi‐Feng Zheng, Zi‐Yang Bi, Dong‐Dong Shi, Zhen Wang   +12 more
wiley   +1 more source