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Stretch-induced endogenous electric fields drive directed collective cell migration in vivo.
Nat Mater
January 2025
Mechanisms of Morphogenesis Lab, Gulbenkian Institute of Science (IGC), Oeiras, Portugal.
Directed collective cell migration is essential for morphogenesis, and chemical, electrical, mechanical and topological features have been shown to guide cell migration in vitro. Here we provide in vivo evidence showing that endogenous electric fields drive the directed collective cell migration of an embryonic stem cell population-the cephalic neural crest of Xenopus laevis. We demonstrate that the voltage-sensitive phosphatase 1 is a key component of the molecular mechanism, enabling neural crest cells to specifically transduce electric fields into a directional cue in vivo.
View Article and Find Full Text PDFCircWaveDL: Modeling of optical coherence tomography images based on a new supervised tensor-based dictionary learning for classification of macular abnormalities.
Artif Intell Med
December 2024
Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran. Electronic address:
Modeling Optical Coherence Tomography (OCT) images is crucial for numerous image processing applications and aids ophthalmologists in the early detection of macular abnormalities. Sparse representation-based models, particularly dictionary learning (DL), play a pivotal role in image modeling. Traditional DL methods often transform higher-order tensors into vectors and then aggregate them into a matrix, which overlooks the inherent multi-dimensional structure of the data.
View Article and Find Full Text PDFDHCT-GAN: Improving EEG Signal Quality with a Dual-Branch Hybrid CNN-Transformer Network.
Sensors (Basel)
January 2025
Guangdong Institute of Intelligence Science and Technology, Hengqin, Zhuhai 519031, China.
Electroencephalogram (EEG) signals are important bioelectrical signals widely used in brain activity studies, cognitive mechanism research, and the diagnosis and treatment of neurological disorders. However, EEG signals are often influenced by various physiological artifacts, which can significantly affect data analysis and diagnosis. Recently, deep learning-based EEG denoising methods have exhibited unique advantages over traditional methods.
View Article and Find Full Text PDFAnalyzing gait data measured by wearable cyborg hybrid assistive limb during assisted walking: gait pattern clustering.
Front Med Technol
December 2024
Institute of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan.
Introduction: The wearable cyborg Hybrid Assistive Limb (HAL) is a therapeutic exoskeletal device that provides voluntary gait assistance using kinematic/kinetic gait data and bioelectrical signals. By utilizing the gait data automatically measured by HAL, we are developing a system to analyze the wearer's gait during the intervention, unlike conventional evaluations that compare pre- and post-treatment gait test results. Despite the potential use of the gait data from the HAL's sensor information, there is still a lack of analysis using such gait data and knowledge of gait patterns during HAL use.
View Article and Find Full Text PDFELECTROPHYSIOLOGICAL CHANGES IN THE PARTICIPANTS OF THE LIQUIDATION OF THE CONSEQUENCES OF THE CHORNOBYL ACCIDENT AND THE MILITARY PERSONNEL OF THE UKRAINIAN DEFENSE FORCES RECOVERING FROM CORONAVIRUS DISEASE (COVID-19).
Probl Radiac Med Radiobiol
December 2024
State Institution «National Research Center of Radiation Medicine, Hematology and Oncology of the National Academy of Medical Sciences of Ukraine», 53 Yuriia Illienka Str., Kyiv, 04050, Ukraine.
Objective: to conduct a clinical and neurophysiological study of Chornobyl clean-up workers and military personnelof the Armed Forces of Ukraine (AFU) with previous coronavirus disease (COVID-19) and individuals of the comparison groups to study the impact of long-term effects of ionizing radiation, psychoemotional stress and previouscoronavirus infection on cerebral functioning.
Materials And Methods: A prospective clinical study of Chornobyl clean-up workers and servicemen of the ArmedForces of Ukraine (AFU) who had coronavirus disease (COVID-19) and individuals of the comparison groups. Themain group - 30 males participated in liquidating the consequences of the Chornobyl Nuclear Power Plant (ChNPP)accident with previously verified COVID-19 (Chornobyl clean-up workers).
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