Results 91 to 100 of about 23,619,686 (300)

A Rare De Novo Missense Mutation in IFT122 Confers a Genetic Susceptibility Factor of Idiopathic Pediatric Uveitis Via Trio‐based Whole‐Exome Sequencing

Advanced Science, EarlyView.
A rare de novo IFT122‐A773E variant is identified in idiopathic pediatric uveitis and shown to exacerbate retinal inflammation and barrier dysfunction. Mechanistically, the variant enhances IFT43 interaction, elevates calcium signaling, and activates the MEK/ERK/FRA1 axis, revealing a previously unrecognized cilia‐associated pathway that may increase ...
Qian Zhou, Jiaxing Huang, Yilin Wang, Xingran Li, Xianyang Liu, Lingyu Dai, Hongshun Li, Qingfeng Wang, Jiangyi Liu, Guannan Su, Wanyun Zhang, Yang Deng, Qingfeng Cao, Yujie Lai, Xiang Luo, Changwei Huang, Ling Chen, Shengping Hou, Peizeng Yang   +18 more
wiley   +1 more source

Automatic Receiver Function Picking Using Fuzzy C‐Means Clustering

Earth and Space Science
Computing receiver function (RF) from teleseismic records can be affected by noise present in the seismic waveforms, and therefore, visual inspection is still preferred for quality control purposes.
Neng Xiong, Fenglin Niu, Hongrui Qiu, Yuyan Liu, Wenpei Miao   +4 more
doaj   +1 more source

Fuzzy clustering with Minkowski distance [PDF]

Distances in the well known fuzzy c-means algorithm of Bezdek (1973) are measured by the squared Euclidean distance.Other distances have been used as well in fuzzy clustering.
Groenen, P.J.F., Kaymak, U., Rosmalen, J.M. van   +2 more
core  

Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets Through Dynamic Dense Scattering Media

Advanced Science, EarlyView.
Vision begins not with images but with change: the retina fires only when something moves, handing the brain a stream of spikes. A neuromorphic imaging system adopts the same strategy—an event sensor that sees like the retina, a spiking network that thinks like the brain—to track and reconstruct fully randomly moving targets through tissue (phantom ...
Ning Zhang, Arto Nurmikko
wiley   +1 more source

ANALYSIS OF CLUSTERING METHODS ON THE CAUSAL FACTORS OF DIABETES MELLITUS WITH FUZZY C MEANS METHOD

Jurnal Lebesgue
This study focuses on the effectiveness of clustering algorithms, namely Fuzzy C-Means by using k-Means algorithm as a supporting method, in the factors that cause Diabetes Mellitus.
Afdhal Reshanda Adiwidyatma, I Gede Susrama Mas Diyasa, Trimono Trimono   +2 more
doaj   +1 more source

On the selection of m for Fuzzy c-Means

, 2015
Fuzzy c-means is a well known fuzzy clustering algorithm. It is an unsupervised clustering algorithmthat permits us to build a fuzzy partition from data.
Vicenç Torra, Torra, Vicenç,
core   +1 more source

An Intravesical Akkermansia muciniphila‐Based Chemo‐Immunotherapeutic Platform for Bladder Cancer

Advanced Science, EarlyView.
Pasteurized Akkermansia muciniphila is engineered into an intravesical F127/doxorubicin platform that couples localized chemotherapy with immune remodeling. By inducing apoptosis, ferroptosis, and immunogenic cell death, this chemo‐immunotherapeutic system enhances dendritic‐cell maturation, antigen cross‐presentation, and tumor‐specific CD8+ T‐cell ...
Rongkang Li, Anguo Zhao, Qi Zhuang, Lei Peng, Rui Liang, Jiadong Zhao, Yang Liu, Dashi Deng, Peng Yu, Xiqi Peng, Shaohua Zhang, Song Wu   +11 more
wiley   +1 more source

Alternate PSO-Based Adaptive Interval Type-2 Intuitionistic Fuzzy C-Means Clustering Algorithm for Color Image Segmentation

IEEE Access, 2019
Interval type-2 fuzzy c-means (IT2FCM) clustering algorithm can describe more uncertainty than fuzzy c-means (FCM) clustering algorithm by using two fuzzifiers to construct a more inclusive boundary.
Feng Zhao, Yilei Chen, Hanqiang Liu, Jiulun Fan   +3 more
doaj   +1 more source

α‐Synuclein Forms Distinct Micelle‐Like Assemblies at Low Ionic Strengths

Advanced Science, EarlyView.
At high ionic strength, α‐synuclein forms diverse assemblies, including oligomers, fibrils, and condensates. Here, we show that at low ionic strength, α‐synuclein adopts a distinct, low‐abundance assembly state. These assemblies maintain a constant size above a critical concentration and do not coalesce, suggesting a micelle‐like organization ...
Sophie Hertel, Soumik Ray, Federica Saraceno, Giacomo Nisini, Georgia Nasi, Thomas Oliver Mason, Antonin Kunka, Effrosyni Agrimaki, Dannie Juul Olesen, Francesco Simone Ruggeri, Alexander K. Buell   +10 more
wiley   +1 more source

Global Optimization strategies for two-mode clustering [PDF]

Two-mode clustering is a relatively new form of clustering that clusters both rows and columns of a data matrix. To do so, a criterion similar to k-means is optimized.
Castilli, W., Rosmalen, J.M. van, Groenen, P.J.F., Trejos, J.   +3 more
core