Results 121 to 130 of about 177,926 (313)

A novel brain-controlled prosthetic hand method integrating AR-SSVEP augmentation, asynchronous control, and machine vision assistance

open access: yesHeliyon
Background and objective: The brain-computer interface (BCI) system based on steady-state visual evoked potentials (SSVEP) is expected to help disabled patients achieve alternative prosthetic hand assistance.
Xiaodong Zhang   +6 more
doaj   +1 more source

CEACAM1 participation in breast cancer progression

open access: yesMolecular Oncology, EarlyView.
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin   +3 more
wiley   +1 more source

Pharmacological chromatin remodeling enhances response to estrogen therapy in ER+ breast cancer

open access: yesMolecular Oncology, EarlyView.
Estrogen therapy elicits clinical benefit in ~ 30% of patients with endocrine‐resistant estrogen receptor (ER)‐positive breast cancer. Based on findings that ER transcriptional activation underlies response to estrogen therapy, we tested the effects of epigenetic dysregulation via pharmacological inhibition of histone deacetylases (HDACi).
Anneka L. Johnson Thomas   +16 more
wiley   +1 more source

Automatic Gait Recognition [PDF]

open access: yes, 1999
Gait is an emergent biometric aimed essentially to recognise people by the way they walk. Gait's advantages are that it is non-invasive, like automatic face recognition, and that it is less likely to be obscured than other biometrics.
Huang, Ping S.   +10 more
core  

Spatial biology in cancer epigenetics

open access: yesMolecular Oncology, EarlyView.
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

open access: yesFEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz   +6 more
wiley   +1 more source

Raman‐based label‐free microscopic analysis of the pancreas in living zebrafish larvae

open access: yesFEBS Open Bio, EarlyView.
Forward stimulated Raman scattering (F‐SRS) and epi coherent anti‐Stokes Raman scattering (E‐CARS) allow label‐free discrimination of distinct subcellular structures in the pancreas of living zebrafish larvae. Given the straightforward applicability, we anticipate broad implementation of Raman microscopy in other organs and across various biomedical ...
Noura Faraj   +3 more
wiley   +1 more source

Learning object behaviour models [PDF]

open access: yes, 1998
The human visual system is capable of interpreting a remarkable variety of often subtle, learnt, characteristic behaviours. For instance we can determine the gender of a distant walking figure from their gait, interpret a facial expression as that of ...
Johnson, Neil
core  

ADAPTIVE VISION AI

open access: yesАвтоматизация технологических и бизнес-процессов
. As of today, computer vision systems are continuously developing and systematically improving. Machines see visual content in the form of numbers, in which each pixel represents its own piece of information.
V. Vodyanitskyi, V. Yuskovych-Zhukovska
doaj   +1 more source

Research on Face Recognition Method Based on Sparse Learning and Significance [PDF]

open access: yesJisuanji gongcheng, 2018
Aiming at the problem of poor face recognition and low recognition rate in complex environment,the algorithm of extracting facial features by sparse learning and significance theory is proposed in this paper.Through the sparse coding theory to simulate ...
KONG Yinghui,YIN Ziwei,CHE Linlin
doaj  

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