Results 61 to 70 of about 261,223 (281)
Hippo pathway at the crossroads of stemness and therapeutic resistance in breast cancer
Dysregulation of the Hippo pathway drives nuclear accumulation of YAP/TAZ, activating stemness‐related transcriptional programs that sustain breast cancer stemness and fuel therapeutic resistance across subtypes, underscoring Hippo signaling as a targetable vulnerability. Figure created and edited with BioRender.com.
Giulia Schiavoni +11 more
wiley +1 more source
Dynamic Object Identification with SOM-based neural networks [PDF]
In this article a number of neural networks based on self-organizing maps, that can be successfully used for dynamic object identification, is described. Unique SOM-based modular neural networks with vector quantized associative memory and recurrent self-
Aleksey Averkin +3 more
doaj
The magnification behaviour of a generalized family of self-organizing feature maps, the Winner Relaxing and Winner Enhancing Kohonen algorithms is analyzed by the magnification law in the one-dimensional case, which can be obtained analytically.
Claussen +21 more
core +2 more sources
Why human connection is the true metric of research success
Human‐centred mentorship can be shaped by mentor attributes, actions, intrinsic drive and career ambition. Drawing on reflections across Singapore and France, as well as workshop insights from FEBS‐IUBMB ENABLE 2024, this article shows that human‐centred mentorship creates the conditions for sustainable growth, well‐being and retention in research ...
Timothy Lin Yun Tan +3 more
wiley +1 more source
Rethinking Collinearity in Self‐Organizing Maps: Evidence From Geophysical Data Classification
This study examines the impact of collinearity on unsupervised machine learning algorithms (UMLAs), specifically Self‐Organizing Maps (SOMs), for detecting lithological boundaries in geophysical data.
Limin Xu +2 more
doaj +1 more source
Self-organizing maps as a method for detecting phase transitions and phase identification
Originating from image recognition, methods of machine learning allow for effective feature extraction and dimensionality reduction in multidimensional datasets, thereby providing an extraordinary tool to deal with classical and quantum models in many ...
Eriksson, Olle +5 more
core +1 more source
Tilt Aftereffects in a Self-Organizing Model of the Primary Visual Cortex [PDF]
RF-LISSOM, a self-organizing model of laterally connected orientation maps in the primary visual cortex, was used to study the psychological phenomenon known as the tilt aftereffect.
Bednar, James A., Miikkulainen, Risto
core +4 more sources
Natural products target the aging kidney in diabetic nephropathy by restoring the AMPK–SIRT1–Nrf2 axis, reducing oxidative stress, inflammation, fibrosis, and cellular senescence while enhancing mitochondrial biogenesis and antioxidant defenses.
Sherif Hamidu +8 more
wiley +1 more source
An advanced visualization of self-organizing maps by determining data clusters
This paper proposes a novel approach to improve the visualization capabilities of self-organizing maps and facilitate the identification of the resulting clusters.
Pavel Stefanovič, Olga Kurasova
doaj +1 more source
Self Organizing Maps(SOM) untuk Pengelompokkan Jurusan di SMK
Permasalahan pemilihan jurusan yang tepat banyak dirasakan oleh siswa yang baru lulus sekolah SMP. Salah satu penyebab permasalahan tersebut adalah kebanyakan calon siswa merasa tidak mempunyai bakat dan tidak menguasai dalam beberapa materi pelajaran ...
Rusydi Umar +2 more
doaj +1 more source

