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Comparison of changes in Ca2+ concentration in quail and rat cardiomyocytes using Fura-4F

Journal of Biorheology 2023年第2期37卷 138-144页

作者： Ogura, Yuhei Sugita, Shukei Nakamura, Masanori Ujihara, Yoshihiro Department of Electrical and Mechanical Engineering Graduate School of Engineering Nagoya Institute of Technology Gokiso-cho Showa-ku Aichi Nagoya466-8555 Japan Center of Biomedical Physics and Information Technology Nagoya Institute of Technology Gokiso-cho Showa-ku Aichi Nagoya466-8555 Japan Department of Nanopharmaceutical Sciences Nagoya Institute of Technology Gokiso-cho Showa-ku Aichi Nagoya466-8555 Japan

High cardiac pump function in mammals and birds requires the elaborate control of calcium (Ca2+) concentrations in cardiomyocytes (CMs). Previously, we reported that avian quail CMs have a higher capacity for Ca2+ efflux than mammalian rats, but the decrease in Ca2+ concentration estimated using the fluorescent Ca2+ indicator Fura-2 was slower than that expected from the observation of cell relaxation behavior. In this study, we examined changes in Ca2+ concentration in quail and rat CMs using Fura-4F, which allows for more rapid tracking of changes in Ca2+ concentrations than Fura-2. The results demonstrated that, compared to Fura-2, Fura-4F showed a narrower dynamic range but a more rapid response to changes in Ca2+ concentration. Furthermore, Fura-4F showed that the Ca2+ concentration in quail CMs decreased significantly faster than that in rat CMs after electrical stimulation. These results are qualitatively consistent with our previous study using Fura-2 and therefore reinforce the conclusion that the Ca2+ removal capacity of quail CMs is higher than that of rat CMs. © Japanese Society of Biorheology 2023.

关键词： Birds

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Nuclear deformability of cancer cells with different metastatic potential

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Journal of Biorheology 2023年第2期37卷 56-63页

作者： Ujihara, Yoshihiro Ono, Daichi Ito, Megumi Sugita, Shukei Nakamura, Masanori Department of Electrical and Mechanical Engineering Graduate School of Engineering Nagoya Institute of Technology Gokiso-cho Showa-ku Aichi Nagoya466-8555 Japan Department of Nanopharmaceutical Sciences Nagoya Institute of Technology Gokiso-cho Showa-ku Aichi Nagoya466-8555 Japan Center of Biomedical Physics and Information Technology Nagoya Institute of Technology Gokiso-cho Showa-ku Aichi Nagoya466-8555 Japan

During metastasis cancer cells pass through tiny gaps in blood vessel walls and between cells. Since the nucleus is the largest organelle in the cell and is much stiffer than the perinuclear cytoplasm, it may be a major physical constraint for metastasis. Here, we tested the hypothesis that cancer cells with higher metastatic potential have softer nuclei than those with lower metastatic poten-tial. We performed a compression test on cell nuclei isolated from two metastatic B16 melanoma variants (B16-F1 and B16-F10) with different metastatic potentials. The results demonstrated that the nuclei isolated from B16-F1 cells, a lower metastatic cancer cell line, had a significantly higher Young’s modulus than B16-F10 cells, a higher metastatic cancer cell line. We also performed a compression test on the whole cell, encompassing the cell nucleus. Among similar whole-cell strains, B16-F10 cells showed a larger com-pressive strain in the intracellular nucleus than B16-F1 cells. In contrast, the force exerted on the intracellular nuclei of B16-F1 cells was similar to that of B16-F10 cells in the same whole-cell strain. These results suggest that B16-F10 cells may have adopted a strategy of enhancing the deformability of the cell nucleus to improve their meta-static potential. © Japanese Society of Biorheology 2023.

关键词： Cancer cells

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Mammographic Breast Positioning Assessment via Deep Learning 1st

Mammographic Breast Positioning Assessment via Deep Learnin...

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1st Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care, Deep-Breath 2024

作者： Tanyel, Toygar Denizoglu, Nurper Seker, Mustafa Ege Alis, Deniz Cerekci, Esma Karaarslan, Ercan Aribal, Erkin Oksuz, Ilkay Biomedical Engineering Graduate Program Istanbul Technical University Istanbul Turkey Department of Radiology Acibadem Healthcare Group Istanbul Turkey Department of Radiology University of Wisconsin-Madison MadisonWI United States Department of Radiology School of Medicine Acibadem University Istanbul Turkey Sisli Hamidiye Etfal Training and Research Hospital Istanbul Turkey Department of Computer Engineering Istanbul Technical University Istanbul Turkey

ISBN: (纸本)9783031777882

Breast cancer remains a leading cause of cancer-related deaths among women worldwide, with mammography screening as the most effective method for the early detection. Ensuring proper positioning in mammography is critical, as poor positioning can lead to diagnostic errors, increased patient stress, and higher costs due to recalls. Despite advancements in deep learning (DL) for breast cancer diagnostics, limited focus has been given to evaluating mammography positioning. This paper introduces a novel DL methodology to quantitatively assess mammogram positioning quality, specifically in mediolateral oblique (MLO) views using attention and coordinate convolution modules. Our method identifies key anatomical landmarks, such as the nipple and pectoralis muscle, and automatically draws a posterior nipple line (PNL), offering robust and inherently explainable alternative to well-known classification and regression-based approaches. We compare the performance of proposed methodology with various regression and classification-based models. The CoordAtt UNet model achieved the highest accuracy of 88.63% ± 2.84 and specificity of 90.25% ± 4.04, along with a noteworthy sensitivity of 86.04% ± 3.41. In landmark detection, the same model also recorded the lowest mean errors in key anatomical points and the smallest angular error of 2.42∘. Our results indicate that models incorporating attention mechanisms and CoordConv module increase the accuracy in classifying breast positioning quality and detecting anatomical landmarks. Furthermore, we make the labels and source codes available to the community to initiate an open research area for mammography, accessible at https://***/tanyelai/deep-breast-positioning. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Diseases

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Fully rubbery synaptic transistors made out of all-organic materials for elastic neurological electronic skin

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Nano Research 2022年第2期15卷 758-764页

作者： Hyunseok Shim Seonmin Jang Jae Gyu Jang Zhoulyu Rao Jong-ln Hong Kyoseung Sim Cunjiang Yu Materials Science and Engineering Program University of HoustonHoustonTX 77204 USA Department of Chemistry Seoul National UniversitySeoul 08826Republic of Korea Department of Chemistry Ulsan National Institute of Science and Technology(UNIST)Ulsan 44919Republic of Korea Department of Mechanical Engineering University of HoustonHoustonTX 77204 USA Department of Biomedical Engineering University of HoustonHoustonTX 77204USA Department of Electrical and Computer Engineering University of HoustonHoustonTX 77204 USA Texas Center for Superconductivity University of HoustonHoustonTX 77204USA

Neurologic function implemented soft organic electronic skin holds promise for wide range of applications,such as skin prosthetics,neurorobot,bioelectronics,human-robotic interaction(HRI),***,we report the development of a fully rubbery synaptic transistor which consists of all-organic materials,which shows unique synaptic characteristics existing in biological *** synaptic characteristics retained even under mechanical stretch by 30%.We further developed a neurological electronic skin in a fully rubbery format based on two mechanoreceptors(for synaptic potentiation or depression)of pressure-sensitive rubber and an all-organic synaptic *** converting tactile signals into Morse Code,potentiation and depression of excitatory postsynaptic current(EPSC)signals allow the neurological electronic skin on a human forearm to communicate with a robotic *** collective studies on the materials,devices,and their characteristics revealed the fundamental aspects and applicability of the all-organic synaptic transistor and the neurological electronic skin.

关键词： synaptic transistor stretchable electronic skin all-organic

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Systematic designs of single metal compounds synthesized using ammonia fluoride-based complex as structure directing agents for energy storage

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Journal of Colloid and Interface Science 2023年第PartA期652卷 294-304页

作者： Kuo, Tsung-Rong Zher Yu, You Wu, Chung-Hsien Lee, Pin-Yan Kongvarhodom, Chutima Chen, Hung-Ming Husain, Sadang Yougbaré, Sibidou Lin, Lu-Yin International PhD Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Graduate Institute of Nanomedicine and Medical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei Taiwan Department of Chemical Engineering King Mongkut's University of Technology Thonburi 126 Pracha-u-thit Toong-kru Bangkok10140 Thailand Gingen technology Co. LTD. Rm. 7 10F. No.189 Sec. 2 Keelung Rd. Xinyi Dist. Taipei11054 Taiwan Department of Physics Faculty of Mathematics and Natural Science Lambung Mangkurat University Banjarmasin70124 Indonesia /Nanoro 03 B.P 7192 Ouagadougou 03 Burkina Faso

Tailoring morphology and composition of metal organic frameworks (MOF) can improve energy storage by establishing high surface area, large porosity and multiple redox states. Structure directing agents (SDA) is functional of designing surface properties of electroactive materials. Ammonium fluoride has functional abilities for designing MOF derivatives with excellent energy storage abilities. Systematic design of MOF derivatives using ammonia fluoride-based complex as SDA can essentially create efficient electroactive materials. Metal species can also play significant roles on redox reactions, which are the main energy storage mechanism for battery-type electrodes. In this work, 2-methylimidazole, two novel SDAs of NH4BF4 and NH4HF2, and six metal species of Al, Mn, Co, Ni, Cu and Zn are coupled to synthesize MOF derivatives for energy storage. Metal species-dependent compositions including hydroxides, oxides, and hydroxide nitrates are observed. The nickel-based derivative (Ni-HBF) shows the highest specific capacitance (CF) of 698.0F/g at 20 mV/s, due to multiple redox states and advanced flower-like surface properties. The diffusion and capacitive-control contributions of MOF derivatives are also analyzed. The battery supercapacitor hybrid with Ni-HBF electrode shows a maximum energy density of 27.9 Wh/kg at 325 W/kg. The CF retention of 170.9% and Coulombic efficiency of 93.2% are achieved after 10,000 cycles. © 2023 Elsevier Inc.

关键词： Supercapacitor

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Neural Networks and Explainable Artificial Intelligence for Breast Cancer Prediction and Classification

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Procedia Computer Science 2025年 256卷 1159-1166页

作者： Erika Yahata Pablo Deoclecia dos Santos Maria Marlene de Souza Pires Ricardo Suyama Priscyla Waleska Simoes Graduate Program in Information Engineering Federal University of ABC Santo André SP Brazil Graduate Program in Biomedical Engineering Federal University of ABC São Bernardo do Campo SP Brazil Pediatrics Department Federal University of Santa Catarina Florianópolis Santa Catarina Brazil

Solutions based on Artificial Intelligence techniques have been proposed in the healthcare sector, however the lack of understanding of the results has been a cause for concern and one of the main barriers to their effective use. To fill the gap in understanding these models considered black boxes, the Explainable Artificial Intelligence was proposed to explain the relationship between input data and the prediction results made by the Artificial Intelligence models. In this study, we present the use of explainability techniques for a black box machine learning model in breast cancer classification. Breast cancer is the type of cancer that causes the most deaths among women in the world and early diagnosis is essential to increase the chances of survival. The study evaluated the explainability of breast tumor predictions based on the Multilayer Perceptron artificial neural networks algorithm, considering a sample that contained data from 164 female patients undergoing Core Biopsy in the southern region of Brazil. The SHAP, LIME, PDP and ICE methods were used for the global and local explainability of the predictions. The results showed that in the global assessment, the BI-RADS® 5 ultrasound and mammography attributes were considered the most important for predicting the malignant tumor. Nodule size greater than 2 cm, presence of a family history and palpable nodule were also considered important for the prediction. In the local evaluation, it was found that the model correctly classified the tumors considering different characteristics of the patients. Through the results presented, the methods of explicability show evidence that the predictive model for breast cancer can be interpreted and understood, overcoming the barrier of lack understanding of the results of a black box model.

关键词： Explainable Artificial Intelligence Predictive Model Explainability Machine Learning Breast Cancer

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Design and Performance Comparison of Low Dropout Regulators for a 32-bit Microcontroller Using 22nm Technology

Design and Performance Comparison of Low Dropout Regulators ...

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IEEE Latin American Symposium on Circuits and Systems (LASCAS)

作者： Emmanuel K. M. Johnson Luis Victor N. Lima Pamela. R. A. N. Campagnucci Sandro A. P. Haddad Wellington A. Amaral Daniel M. Muñoz Department of Mechanical Engineering Mechatronics Graduate Program University of Brasilia Brasilia DF Brazil Faculty of Gama Electronics Engineering Undergraduate Program University of Brasilia Brasilia DF Brazil

ISBN: (数字)9798331522124

ISBN: (纸本)9798331522131

This paper presents a comparison between two LDOs (Low Dropout Regulators) developed for a PMIC (Power Management Integrated Circuit) responsible for powering a 32-bit microcontroller based on the RISC-V microarchitecture, designed in 22 nm technology. The microcontroller will be integrated with a radio frequency interface for IoT (Internet of Things) applications. Two LDOs were designed: one with external compensation and the other a capacitor-less LDO. Both operate with an input voltage of 2.5V, an output voltage of 0.8V, and a maximum current of 150mA. The externally compensated LDO exhibited greater stability in response to load variations and a higher PSRR (Power Supply Rejection Ratio), while the capacitor-less LDO demonstrated faster regulation speed and occupied a chip area similar to the externally compensated LDO.

关键词： Regulators Microcontrollers Power supplies Power system management Simulation Stability analysis Regulation Circuit stability Internet of Things Voltage control

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Design and Performance Comparison of Low Dropout Regulators for a 32-bit Microcontroller Using 22nm Technology 16

Design and Performance Comparison of Low Dropout Regulators ...

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16th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2025

作者： Johnson, Emmanuel K. M. Lima, Luis Victor N. Campagnucci, Pamela. R. A. N. Haddad, Sandro A. P. Amaral, Wellington A. Munoz, Daniel M. University of Brasilia Mechatronics Graduate Program Department of Mechanical Engineering DF Brasilia Brazil University of Brasilia Faculty of Gama Electronics Engineering Undergraduate Program DF Brasilia Brazil

ISBN: (纸本)9798331522124

关键词： Low power electronics

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All-Electric Ship On-Board Continuous Sustainable H2 Generation from Aluminum Scrap and Seawater

All-Electric Ship On-Board Continuous Sustainable H2 Generat...

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2023 IEEE Electric Ship Technologies Symposium, ESTS 2023

作者： Taher, Dhyogo M. Balmant, Wellington Och, Stephan H. Pitz, Diogo B. Venter, Giuliana S. Filho, Lucio C. Martins, Lauber S. Vargas, Jose V. C. Ordonez, Juan C. Federal University of Paraná Ufpr Graduate Program in Mechanical Engineering Sustainable Energy Research and Development Center PR Curitiba81531-980 Brazil Maringá State University Uem Department of Chemical Engineering PR Maringá87020-900 Brazil Advent Health University Ahu Department of Health and Biomedical Sciences OrlandoFL32803 United States Center for Advanced Power Systems and Energy Sustainability Center Florida State University Fsu Department of Mechanical Engineering TallahasseeFL32310 United States

ISBN: (纸本)9781665465151

A mathematical model of a sustainable H2 generation reactor that utilizes aluminum and seawater is introduced. Conservation of species and the kinetics of the H2 production reaction from aluminum and seawater allowed for obtaining the process transient response in a batch reactor. Continuous steady state production was assessed by adding a balance of energy, allowing for reactants inlet mass flow rates, and calculating the outlet H2 mass flow (generation) rate. The theoretical H2 production curve data showed good quantitative and qualitative agreement with experimental data. The validated mathematical model was then used to optimize the continuous reactor. The maximum was sharp, since an 85% variation between the maximum and the smallest H2 generation rate value as a function of the inlet NaOH solution volumetric flow rate tested range was verified. Such fundamental result stresses the importance of operating the system at the optimal condition, no matter how complex the actual reactor design may be. Since aluminum is inexpensive, abundant, and fully recyclable, in situ sustainable H2 production could allow for fuel cell stacks to become all electric ships (AES) power sources. © 2023 IEEE.

关键词： Aluminum

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Pilot study of using transcranial temporal interfering theta-burst stimulation for modulating motor excitability in rat

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Journal of Neuroengineering and Rehabilitation 2024年第1期21卷 147页

作者： Wu, Chun-Wei Lin, Bor-Shing Zhang, Zhao Hsieh, Tsung-Hsun Liou, Jian-Chiun Lo, Wei-Lun Li, Yu-Ting Chiu, Shao-Chu Peng, Chih-Wei School of Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei 11031 Taiwan Department of Computer Science and Information Engineering National Taipei University New Taipei City 237303 Taiwan School of Mechanical and Electrical Engineering Wuyi University Fujian Province Wuyishan City China School of Physical Therapy and Graduate Institute of Rehabilitation Science College of Medicine Chang Gung University Taoyuan Taiwan Neuroscience Research Center Chang Gung Memorial Hospital Linkou Taiwan Department of Surgery Division of Neurosurgery Shuang Ho Hospital Taipei Medical University New Taipei City Taiwan Department of Surgery School of Medicine College of Medicine Taipei Medical University Taipei Taiwan Taiwan Instrument Research Institute National Applied Research Laboratories Hsinchu Taiwan School of Gerontology and Long-Term Care College of Nursing Taipei Medical University Taipei Taiwan Graduate Institute of Biomedical Optomechatronics College of Biomedical Engineering Taipei Medical University Taipei 11031 Taiwan

Transcranial temporal interference stimulation (tTIS) is a promising brain stimulation method that can target deep brain regions by delivering an interfering current from surface electrodes. Most instances of tTIS stimulate the brain with a single-frequency sinusoidal waveform generated by wave interference. Theta burst stimulation is an effective stimulation scheme that can modulate neuroplasticity by generating long-term potentiation- or depression-like effects. To broaden tTIS application, we developed a theta burst protocol using tTIS technique to modulate neuroplasticity in rats. Two cannula electrodes were unilaterally implanted into the intact skull over the primary motor cortex. Electrical field of temporal interference envelopes generated by tTIS through cannula electrodes were recorded from primary motor cortex. Theta burst schemes were characterized, and motor activation induced by the stimulation was also evaluated simultaneously by observing electromyographic signals from the corresponding brachioradialis muscle. After validating the stimulation scheme, we further tested the modulatory effects of theta burst stimulation delivered by tTIS and by conventional transcranial electrical stimulation on primary motor cortex excitability. Changes in the amplitude of motor evoked potentials, elicited when the primary motor cortex was activated by electrical pulses, were measured before and after theta burst stimulation by both techniques. Significant potentiation and suppression were found at 15 to 30 min after the intermittent and continuous theta burst stimulation delivered using tTIS, respectively. However, comparing to theta burst stimulations delivered using conventional form of transcranial electrical stimulation, using tTIS expressed no significant difference in modulating motor evoked potential amplitudes. Sham treatment from both methods had no effect on changing the motor evoked potential amplitude. The present study demonstrated the feasibility of usin

关键词： Brain stimulation Motor evoked potential Neuroplasticity Theta burst stimulation Transcranial electrical stimulation Transcranial temporal interference stimulation

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