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Novel synthesis of nickel-based bimetallic compounds using ammonium tetrafluoroborate and ammonium bifluoride as structure directing agents for energy storage application

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Journal of Energy Storage 2024年 75卷

作者： Kuo, Tsung-Rong Yu, You Zher Lee, Pin-Yan Wu, Chung-Hsien Chen, Hung-Ming Husain, Sadang Kongvarhodom, Chutima Ho, Kuo-Chuan 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 National Taiwan University Taipei Taiwan 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 Department of Chemical Engineering King Mongkut's University of Technology Thonburi 126 Pracha-u-thit Toong-kru Bangkok10140 Thailand

Nickel-based compounds are widely applied as the active material for energy storage devices, owing to high theoretical capacity and easy-fabricated process. Bimetallic compounds having multiple redox states can provide abundant redox reactions for charge storage. Structure directing agent (SDA) can promote the preferable growth of active materials and to enhance energy storage abilities. In this work, NH4BF4 and NH4HF2 are firstly used as SDA to synthesize nickel-based compounds along with 2-methylmidozole in the one-step solution process for energy storage applications. The bimetallic compounds are synthesized by incorporating Al, Mn, Co, Cu and Zn salts in the precursor solution including the Ni salt. The system with Al, Cu or Zn possesses single metal compound and barely nickel compound. Mn and Co-incorporated systems present clear bimetallic components with nickel hydroxide. The highest specific capacitance (CF) of 1336.3 F/g (297.0 mAh/g) are achieved at 20 mV/s for the NiCo-based electrode, owing to the bimetallic feature and favorable two-dimensional sheet-like structures. An energy storage device is assembled using the NiCo-based compound and reduced graphene oxide electrodes. The maximum energy density of 10.5 Wh/kg at 0.3 kW/kg, and the CF retention of 78.5% and Coulombic efficiency of 85.2% are achieved after 10,000 times charge/discharge cycles. © 2023 Elsevier Ltd

关键词： Energy storage

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Dimensionality reduction in 3D causal deep learning for neuroimage generation: an evaluation study

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Journal of Medical Imaging 2025年第2期12卷

作者： Ohara, Erik Y. Vigneshwaran, Vibujithan Souza, Raissa Vamosi, Finn G. Wilms, Matthias Forkert, Nils D. University of Calgary Biomedical Engineering Graduate Program CalgaryAB Canada University of Calgary Department of Radiology CalgaryAB Canada University of Calgary Hotchkiss Brain Institute CalgaryAB Canada University of Calgary Alberta Children's Hospital Research Institute CalgaryAB Canada University of Calgary Department of Computer Science CalgaryAB Canada University of Calgary Departments of Pediatrics and Community Health Sciences CalgaryAB Canada

Purpose: Causal deep learning (DL) using normalizing flows allows the generation of true counterfactual images, which is relevant for many medical applications such as explainability of decisions, image harmonization, and in-silico studies. However, such models are computationally expensive when applied directly to high-resolution 3D images and, therefore, require image dimensionality reduction (DR) to efficiently process the data. The goal of this work was to compare how different DR methods affect counterfactual neuroimage generation. Approach: Five DR techniques [2D principal component analysis (PCA), 2.5D PCA, 3D PCA, autoencoder, and Vector Quantised-Variational AutoEncoder] were applied to 23,692 3D brain images to create low-dimensional representations for causal DL model training. Convolutional neural networks were used to quantitatively evaluate age and sex changes on the counterfactual neuroimages. Age alterations were measured using the mean absolute error (MAE), whereas sex changes were assessed via classification accuracy. Results: The 2.5D PCA technique achieved the lowest MAE of 4.16 when changing the age variable of an original image. When sex was changed, the autoencoder embedding led to the highest classification accuracy of 97.84% while also significantly impacting the age variable predictions, increasing the MAE to 5.24 years. Overall, 3D PCA provided the best balance, with an age prediction MAE of 4.57 years while maintaining 94.01% sex classification accuracy when altering the age variable and 94.73% sex classification accuracy and the lowest age prediction MAE (3.84 years) when altering the sex variable. Conclusions: 3D PCA appears to be the best-suited DR method for causal neuroimage analysis. © 2025 Society of Photo-Optical Instrumentation Engineers (SPIE).

关键词： Principal component analysis

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Incorporating self-assembled MXene to improve electrical conductivity of novel ZIF67 derivatives induced by NH4BF4 and NH4HF2 for energy storage

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Journal of Energy Storage 2024年 82卷

作者： Lee, Pin-Yan Chiou, Yu-Ren Cheng, Cheng-Siang Chen, Yu-Chun Kongvarhodom, Chutima Chen, Hung-Ming Yougbaré, Sibidou Husain, Sadang Ho, Kuo-Chuan Kuo, Tsung-Rong Lin, Lu-Yin Department of Chemical Engineering National Taiwan University Taipei 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 /Nanoro 03 B.P 7192 Ouagadougou03 Burkina Faso Department of Physics Faculty of Mathematics and Natural Science Lambung Mangkurat University Banjarmasin70124 Indonesia International PhD Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan

Zeolitic imidazolate framework (ZIF-67) with high surface area and tunable pore size are considered as a promising active material for energy storage, but the low electrical conductivity restricts its performance. Developing ZIF67 derivatives with improved electrical conductivity is necessary to broaden its application in electrochemical fields. In this work, two strategies are applied to improve electrical conductivity and electrochemical performance of ZIF67. Novel structure directing agents of NH4BF4 and NH4HF2 are used to synthesize ZIF67 derivatives with higher theoretical capacitances and favorable layered structures. Self-assembled MXene with different amounts is further incorporated in ZIF67 derivatives to establish composites. The optimal composite electrode shows a high specific capacitance (CF) of 1410.4 F/g (775.6C/g) at 20 mV/s, while the ZIF67 derivative electrode without MXene only shows a CF value of 942.3 F/g (518.3C/g), due to the high surface area and better pore structure as well as the close combination of MXene and the layered ZIF67 derivative for the former case. An energy storage device with the optimal composite and carbon electrodes shows the maximum energy density of 32.40 Wh/kg at 375 W/kg. The Coulombic efficiency of 100% and the CF retention of 77.4% are also achieved after 10,000 cycles. © 2024 Elsevier Ltd

关键词： Energy storage

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Variable Stiffness Hip Joint for Lower-Limb Exoskeletons

Variable Stiffness Hip Joint for Lower-Limb Exoskeletons

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IEEE/RAS-EMBS International Conference on biomedical Robotics and Biomechatronics (BioRob)

作者： Sophia Otálora Hector A. Moreno Marcela Múnera Carlos A. Cifuentes Graduate Program of Electrical Engineering Federal University of Espirito Santo Vitoria Brazil Facultad de Ingeniería Mecánica y Eléctrica Universidad Autónoma de Coahuila Av. Barranquilla s/n Col. Guadalupe Monclova Coah. Mexico Bristol Robotics Laboratory University of the West of England Bristol UK Department of Biomedical Engineering Colombian School of Engineering Julio Garavito Bogota Colombia

ISBN: (数字)9798350386523

ISBN: (纸本)9798350386530

The use of robotics in rehabilitation is a growing area of research, with the potential to greatly improve the quality of life for individuals with impairments. Robotic exoskeletons, in particular, have shown promise for enhancing mobility and independence in patients with conditions such as stroke. Current exoskeleton designs, however, often lack the necessary degrees of freedom (DOFs) to provide adequate balance and support during activities of daily living (ADLs), such as walking and standing. This study proposes a new lower limb exoskeleton design incorporating a variable stiffness hip joint based on a four-bar mechanism. This joint provides additional DOFs for improved balance and stability during gait, making it easier for patients to perform ADLs. The results show that the exoskeleton effectively improves stability during gait testing. This suggests that the proposed design can greatly enhance mobility and independence in impaired patients and could be a valuable tool in rehabilitation robotics.

关键词： Legged locomotion Exoskeletons Biomechatronics Stroke (medical condition) Assistive robots Robots Hip Testing

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Connectivity Analysis under Mental Stress using fNIRS 4

Connectivity Analysis under Mental Stress using fNIRS

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4th International Conference on Bio-engineering for Smart Technologies, BioSMART 2021

作者： Katmah, Rateb Al-Shargie, Fares Tariq, Usman Babiloni, Fabio Al-Mughairbi, Fadwa Al-Nashash, Hasan American University of Sharjah Biomedical Engineering Graduate Program Sharjah United Arab Emirates University of Sapienza Rome Department of Molecular Medicine Rome Italy United Arab Emirates University College of Medicines and Health Sciences Al-Ain United Arab Emirates

ISBN: (纸本)9781665408103

Stress is a major cause of many mental, psychological, emotional, behavioral, and physical disorders. Therefore, early detection of stress can help prevent many ailments and improve human health. In this study, we used a modified Stroop Color Word Task (SCWT) with time pressure and negative feedback to elicit two levels of stress at the workplace. We then assessed the level of stress using functional near-infrared spectroscopy (fNIRS) with multiple machine learning classifiers. We analyzed the fNIRS signals using partial directed coherence (PDC) to estimate the effective connectivity network between brain regions under stress. Our results showed that the proposed stress task reduced the cognitive performance and altered the connectivity network on the frontal region. The left frontal and left dorsolateral regions showed significantly higher connectivity under stress, p © 2021 IEEE.

关键词： Support vector machines

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In-situ growth of novel iron oxide/iron organic framework composites as efficient electroactive materials of battery supercapacitor hybrids

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Journal of Energy Storage 2024年 97卷

作者： Kuo, Tsung-Rong Saukani, Muhammad Kuo, Tsung-Rong Kubendhiran, Subbiramaniyan Wang, Yu-Min Tai, Po-Chun Wu, Chang-Feng Lin, Lu-Yin Kongvarhodom, Chutima Kongvarhodom, Chutima Husain, Sadang Yougbaré, Sibidou Chen, Hung-Ming 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 Department of Chemical Engineering University of New Brunswick FrederictonNBE3B5A3 Canada Department of Physics Faculty of Mathematics and Natural Science Lambung Mangkurat University Banjarmasin70124 Indonesia /Nanoro 03 B.P 7192 Ouagadougou03 Burkina Faso Gingen technology Co. LTD. Rm. 7 10F. No.189 Sec. 2 Keelung Rd. Xinyi Dist. Taipei11054 Taiwan

Iron oxide (Fe2O3) with a high theoretical capacitance, wide potential ranges and easy availability has attracted much attentions as the electrode material of battery supercapacitor hybrids (BSH). Metal–organic framework (MOF) is one of the promising potential energy storage materials due to its large surface area and controllable pore structures. In this work, novel iron oxide/iron organic framework composites (Fe2O3/FeMOF) are in-situ grown on the Ni foam as efficient energy storage electrodes of BSH. By tuning the solvothermal durations, the morphology changes from random sizes of sheets, regular grown vertical sheets, to flower-like structures. The d-spacing also increases for the Fe2O3/FeMOF synthesized using longer solvothermal durations. The optimal Fe2O3/FeMOF electrode synthesized using 9 h shows a high areal capacitance of 10.97 F/cm2 along with an areal capacity of 5.49 F/cm2 at the current density of 35 mA/cm2, owing to the most regular growth of sheets, the large d-spacing, and the smallest charge-transfer resistances. A BSH composed of the Fe2O3/FeMOF positive electrode and a graphene negative electrode shows a maximum energy density of 0.76 mWh/cm2 at 22.5 mW/cm2. The excellent long-term cycling stability with the capacitance retention of 85% and Coulombic efficiency of 98% are also achieved after 10,000 charge/discharge cycles. © 2024 Elsevier Ltd

关键词： Supercapacitor

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Arterial Contrast Optimization in Time-Resolved Contrast-Enhanced Cerebral MR Angiography Using Generative Neural Networks

SSRN

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SSRN 2024年

作者： Park, Chan Joo Choi, Kyu Sung Park, Jaeseok Choi, Seung Hong Hwang, Inpyeong Shin, Taehoon Division of Mechanical and Biomedical Engineering Ewha Womans University Seoul Korea Republic of Graduate Program in Smart Factory Ewha Womans University Seoul Korea Republic of Department of Radiology Seoul National University Hospital Seoul Korea Republic of Department of Biomedical Engineering Sungkyunkwan University Suwon Korea Republic of Department of Intelligent Precision Healthcare Convergence Sungkyunkwan University Suwon Korea Republic of Department of Radiology Seoul National University Hospital Seoul National University College of Medicine Seoul Korea Republic of

Time-resolved contrast-enhanced magnetic resonance angiography (TR-MRA) is an established technique used to capture the movement of a contrast bolus through the vascular system. However, in the cerebral vasculature, which has a short arteriovenous transit time, venous overlay can occur even in the image of the peak arterial phase, making it challenging to obtain pure artery-only angiograms. This study aimed to develop conditional generative neural networks to generate pure angiograms with enhanced arterial contrast using clinical cerebral TR-MRA data. To achieve this, we proposed a preprocessing algorithm that synthesizes images with optimal arterial contrast through eigen-image analysis utilizing contrast dynamics. This synthetic image and temporal maximum-intensity-projection of TR-MRA served as the target and source images, respectively for training conditional generative adversarial network (GAN) and denoising diffusion probabilistic model (DDPM). The results showed that the conditional DDPM achieved substantially higher arterial contrast compared to raw TR-MRA, as confirmed by the relative artery-vein contrast ratio (0.9889 ± 0.0049 vs. 0.8265 ± 0.0502) and the artery-muscle contrast ratio (0.9825 ± 0.0038 vs. 0.8806 ± 0.0225). The conditional DDPM outperformed conditional GAN in quality of visualization of arteries, as confirmed by the qualitative visibility score (4.07 ± 0.49 vs. 3.82 ± 0.70). Furthermore, we demonstrated the feasibility of applying the trained generative models to single-phase contrast-enhanced MRA images with high spatial resolution. © 2024, The Authors. All rights reserved.

关键词： Generative adversarial networks

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An enzyme-free and ultrafast cell-dissociation technique for cell culture applications using acoustofluidics 24

An enzyme-free and ultrafast cell-dissociation technique for...

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24th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2020

作者： Salari, Alinaghi Appak-Baskoy, Sila Coe, Imogen R. Tsai, Scott S.H. Kolios, Michael C. Canada Biomedical Engineering Graduate Program Ryerson University Canada Department of Chemistry and Biology Ryerson University Canada Molecular Science Graduate Program Ryerson University Canada Department of Mechanical and Industrial Engineering Ryerson University Canada Department of Physics Ryerson University Canada

ISBN: (纸本)9781733419017

Cell-culture techniques are widely used for in-vitro drug screening and biochemical analyses. The classical models for dissociating cell monolayers into single-cell suspensions include enzymatic techniques (e.g., trypsinization). All available enzymatic and non-enzymatic techniques require long treatment duration, typically on the order of minutes (5-10 min). Here, we report a novel, ultrafast, and high-throughput technique, using acoustofluidics, that enables the detachment of adhered cells into suspensions within seconds, while maintaining cellular viability similar to that of the trypsinization method. In our technique, only the adhered cells experience the acoustic waves, minimizing any detrimental effects of the dissociating agent on the detached cells. © 2020 CBMS-0001

关键词： Cells

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Quantification of transient evoked otoacoustic emissions by sample entropy to assess cochlear symptoms (Hearing and Tinnitus) in Meniere's disease

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Applied Acoustics 2023年 212卷

作者： Fang, Jui Liu, Yi-Wen Chen, Yi-Wen Shih, Tzu-Ching Yao, Chun-Hsu Tsai, Chon-Haw Tyler, Richard S. Hsu, Alan Wang, Tang-Chuan x-Dimension Center for Medical Research and Translation China Medical University Hospital Taichung City Taiwan Department of Electrical Engineering National Tsing Hua University Hsinchu Taiwan Graduate Institute of Biomedical Sciences China Medical University Taichung City Taiwan Department of Biomedical Imaging and Radiological Science China Medical University Taichung City Taiwan School of Medicine College of Medicine China Medical University Taichung City Taiwan Department of Otolaryngology University of Iowa Iowa CityIA United States Department of Otorhinolaryngology - Head and Neck Surgery China Medical University Hsinchu Hospital Zhubei City Taiwan Master Program for Biomedical Engineering College of Biomedical Engineering China Medical University Taichung City Taiwan

The deteriorations of Meniere's disease (MD) cochlear symptoms (i.e., hearing loss and tinnitus) are progressive. We proposed sample entropy (SampEn) of transiently evoked otoacoustic emission (TEOAE) for quantitative assessment of MD cochlear symptoms without subject-dependent variations and system-dependent differences to prevent impacts of MD cochlear symptoms on life qualities of patients. This cross-sectional study based in a single center investigated 1) the preferred parameters for estimation of TEOAE SampEn and 2) resulting performances in diagnosing of MD cochlear symptoms. Nineteen normal (38 ears) and 29 (29 ears) unilateral definitive MD were recruited between June 2021 and March 2022. Hearing loss and tinnitus of MD were measured by pure-tone audiometry and described by chief complaint, respectively. TEOAE SampEn were estimated using different parameters of data size N = 772, template length m from 1 to 9 and similarity tolerance r from 0.1 to 1. Areas under receiver operating characteristic curves (AUROCs) were used to evaluate the performances of TEOAE SampEn in diagnosing MD cochlear symptoms. In terms of result, TEOAE SampEn based on the parameters of (N = 772, m = 2, r = 0.2) resulted in the maximum AUROCs = 0.7732 and 0.8421 in diagnosing MD hearing loss and tinnitus, respectively. In conclusion, TEOAE SampEn provides good performances and demonstrates great potential of assessment for MD cochlear symptoms. In future, recruitment of more participants, especially MD with tinnitus only without hearing loss, and other OHC-related disease, is necessary to further support the findings of this study. © 2023 The Author(s)

关键词： Audition

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High throughput intracellular delivery facilitated by acoustofluidics 24

High throughput intracellular delivery facilitated by acoust...

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24th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2020

作者： Salari, Alinaghi Appak-Baskoy, Sila Coe, Imogen R. Abousawan, John Antonescu, Costin N. Tsai, Scott S.H. Kolios, Michael C. Canada Biomedical Engineering Graduate Program Ryerson University Canada Department of Chemistry and Biology Ryerson University Canada Molecular Science Graduate Program Ryerson University Canada Department of Mechanical and Industrial Engineering Ryerson University Canada Department of Physics Ryerson University Canada

ISBN: (纸本)9781733419017

Many cell-based therapies rely on the successful delivery of cargo materials into cells. Here, we present a novel in vitro strategy for intracellular delivery, which is based on adherent cells exposed to acoustic waves. Strong acoustic waves mediated through a substrate inside a microfluidic channel cause the adherent cells to oscillate. As a result of continuous cell oscillation and cell-induced microstreaming, successful delivery of different size dextrans into MDA-MB-231 cells (with delivery efficiencies of 55-85%) is demonstrated. This novel acoustofluidic method achieves rapid and scalable delivery of cargo materials into cells and thus may be preferred over lipofection, electroporation, or other delivery methods. © 2020 CBMS-0001

关键词： Cells

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