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Structural Distortion in the Wadsley-Roth Niobium Molybdenum Oxide Phase Triggering Extraordinarily Stable Battery Performance

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Angewandte Chemie 2024年第9期136卷

作者： Dr. Zhibin Wu Dr. Gemeng Liang Prof. Wei Kong Pang Dr. Jinshuo Zou Dr. Wenchao Zhang Prof. Libao Chen Prof. Xiaobo Ji Dr. Christophe Didier Prof. Vanessa K. Peterson Dr. Carlo U. Segre Dr. Bernt Johannessen Prof. Zaiping Guo State Key Laboratory for Powder Metallurgy Central South University Changsha 410083 China Institute for Superconducting & Electronic Materials School of Mechanical Materials Mechatronic and Biomedical Engineering University of Wollongong Wollongong NSW 2522 Australia School of Chemical Engineering The University of Adelaide Adelaide SA 5005 Australia College of Chemistry and Chemical Engineering Central South University Changsha 410083 China Australian Centre for Neutron Scattering Australian Nuclear Science and Technology Organisation Sydney NSW 2234 Australia Department of Physics and Center for Synchrotron Radiation Research and Instrumentation Illinois Institute of Technology Chicago IL 60616 USA Australian Synchrotron 800 Blackburn Rd Clayton VIC 3168 Australia

Wadsley-Roth niobium oxide phases have attracted extensive research interest recently as promising battery anodes. We have synthesized the niobium-molybdenum oxide shear phase (Nb, Mo) 13 O 33 with superior electrochemical Li-ion storage performance, including an ultralong cycling lifespan of at least 15000 cycles. During electrochemical cycling, a reversible single-phase solid-solution reaction with lithiated intermediate solid solutions is demonstrated using in situ X-ray diffraction, with the valence and short-range structural changes of the electrode probed by in situ Nb and Mo K-edge X-ray absorption spectroscopy. This work reveals that the superior stability of niobium molybdenum oxides is underpinned by changes in octahedral distortion during electrochemical reactions, and we report an in-depth understanding of how this stabilizes the oxide structure during cycling with implications for future long-life battery material design.

关键词： In Situ X-Ray Absorption Spectroscopy In Situ X-Ray Diffraction Niobium Molybdenum Oxide Ultralong Battery Life Wadsley-Roth Phases

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Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks

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Medical Image Analysis 2022年 78卷 102396-102396页

作者： Subramaniam, Pooja Kossen, Tabea Ritter, Kerstin Hennemuth, Anja Hildebrand, Kristian Hilbert, Adam Sobesky, Jan Livne, Michelle Galinovic, Ivana Khalil, Ahmed A. Fiebach, Jochen B. Frey, Dietmar Madai, Vince I. CLAIM - Charité Lab for AI in Medicine Charité Universitätsmedizin Berlin Germany Department of Computer Engineering and Microelectronics Computer Vision & Remote Sensing Technical University Berlin Berlin Germany Berlin Germany Bernstein Center for Computational Neuroscience Berlin Germany Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine Charité Universitätsmedizin Berlin Berlin Germany Fraunhofer MEVIS Max-von-Laue-Str. 2 Bremen Germany Department VI Computer Science and Media Beuth University of Applied Sciences Berlin Germany Johanna-Etienne-Hospital Neuss Germany Centre for Stroke Research Berlin Charité Universitätsmedizin Berlin Berlin Germany Department of Neurology Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany Mind Brain Body Institute Berlin School of Mind and Brain Humboldt University Berlin Berlin Germany Berlin Institute of Health Berlin Germany School of Computing and Digital Technology Faculty of Computing Engineering and the Built Environment Birmingham City University Birmingham United Kingdom QUEST-Center for Transforming Biomedical Research Berlin Institute of Health Charité Universitätsmedizin Berlin Charitéplatz 1 Berlin10117 Germany

Deep learning requires large labeled datasets that are difficult to gather in medical imaging due to data privacy issues and time-consuming manual labeling. Generative Adversarial Networks (GANs) can alleviate these challenges enabling synthesis of shareable data. While 2D GANs have been used to generate 2D images with their corresponding labels, they cannot capture the volumetric information of 3D medical imaging. 3D GANs are more suitable for this and have been used to generate 3D volumes but not their corresponding labels. One reason might be that synthesizing 3D volumes is challenging owing to computational limitations. In this work, we present 3D GANs for the generation of 3D medical image volumes with corresponding labels applying mixed precision to alleviate computational constraints. We generated 3D Time-of-Flight Magnetic Resonance Angiography (TOF-MRA) patches with their corresponding brain blood vessel segmentation labels. We used four variants of 3D Wasserstein GAN (WGAN) with: 1) gradient penalty (GP), 2) GP with spectral normalization (SN), 3) SN with mixed precision (SN-MP), and 4) SN-MP with double filters per layer (c-SN-MP). The generated patches were quantitatively evaluated using the Fréchet Inception Distance (FID) and Precision and Recall of Distributions (PRD). Further, 3D U-Nets were trained with patch-label pairs from different WGAN models and their performance was compared to the performance of a benchmark U-Net trained on real data. The segmentation performance of all U-Net models was assessed using Dice Similarity Coefficient (DSC) and balanced Average Hausdorff Distance (bAVD) for a) all vessels, and b) intracranial vessels only. Our results show that patches generated with WGAN models using mixed precision (SN-MP and c-SN-MP) yielded the lowest FID scores and the best PRD curves. Among the 3D U-Nets trained with synthetic patch-label pairs, c-SN-MP pairs achieved the highest DSC (0.841) and lowest bAVD (0.508) compared to the benchmark

关键词： Generative adversarial networks

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Nebulization of a mRNA-encoded monoclonal antibody for passive immunization of foals against Rhodococcus equi

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Molecular Therapy 2025年

作者： Rebecca M. Legere Jeannine A. Ott Cristina Poveda Daryll Vanover Karin E.R. Borba Cameron L. Martin Bibiana P. da Silveira Jocelyne M. Bray Kerstin Landrock Gus A. Wright J. Chistensen Blazier Andrew E. Hillhouse Ashley L. Benham-Duret Brandon Mistretta Rafaela L. Klein Sarah M. Thompson Amelia R. Woolums Michael F. Criscitiello Luc R. Berghman Angela I. Bordin Noah D. Cohen Department of Large Animal Clinical Sciences College of Veterinary Medicine & Biomedical Sciences Texas A&M University； College Station TX 77843 USA Department of Veterinary Pathobiology College of Veterinary Medicine & Biomedical Sciences Texas A&M University； College Station TX 77843 USA National School of Tropical Medicine Department of Pediatrics Baylor College of Medicine； Houston TX 77030 USA Texas Children’s Hospital Center for Vaccine Development Baylor College of Medicine； Houston TX 77030 USA Wallace H. Coulter Department of Biomedical Engineering Emory University & Georgia Institute of Technology； Atlanta GA 30322 GA USA Department of Poultry Science College of Agriculture & Life Sciences Texas A&M University； College Station TX 77843 USA Texas A&M Institute for Genome Sciences and Society Texas A&M University； College Station TX 77843 USA 10x Genomics Inc.； Pleasanton CA 94588 USA Mg Biologics Inc.； Ames IA 50014 USA Department of Pathobiology and Population Medicine College of Veterinary Medicine Mississippi State University； Mississippi State MS 39762 USA

Inhalation of Rhodococcus equi causes severe pneumonia in humans and animals worldwide, most commonly affecting horse foals. The standard for preventing R. equi pneumonia in foals is transfusion of hyperimmune plasma, which is expensive and carries the risk of adverse effects. Our goal was to passively immunize foals against R. equi by nebulizing mRNA encoding an equine monoclonal antibody ( mAb ) against the virulence associated protein A ( VapA ) directly into the lungs. VapA-specific memory B-cells from an immunized horse were used to identify and select the sequence for an equine IgG 1 mAb. In vitro transcribed mRNA encoding this sequence expressed full-length, VapA-specific mAbs in vitro , and safely and effectively produced intrapulmonary mAb in foals for at least 5 days following nebulization. These findings establish a platform to generate mRNA-encoded mAbs for immunotherapeutic and immunoprophylactic applications in horses and demonstrate the feasibility of delivering nebulized mRNA-mAb for intrapulmonary mAb expression in neonates.

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A Multi-Label Deep Learning Model with Interpretable Grad-CAM for Diabetic Retinopathy Classification

A Multi-Label Deep Learning Model with Interpretable Grad-CA...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Hongyang Jiang Jie Xu Rongjie Shi Kang Yang Dongdong Zhang Mengdi Gao He Ma Wei Qian Beijing Zhizhen Internet Technology Co. Ltd Tongren Eye Center Beijing Tongren Hospital Capital Medical University Beijing Ophthalmology and Visual Science Key Lab Beijing China Department of Biomedical Engineering College of Engineering Peking University Beijing China Medicine and Biological Information Engineering Northeastern University Shenyang China College of Engineering University of Texas at El Paso Texas USA

ISBN: (数字)9781728119908

ISBN: (纸本)9781728119915

The characteristics of diabetic retinopathy (DR) fundus images generally consist of multiple types of lesions which provided strong evidence for the ophthalmologists to make diagnosis. It is particularly significant to figure out an efficient method to not only accurately classify DR fundus images but also recognize all kinds of lesions on them. In this paper, a deep learning-based multi-label classification model with Gradient-weighted Class Activation Mapping (Grad-CAM) was proposed, which can both make DR classification and automatically locate the regions of different lesions. To reducing laborious annotation work and improve the efficiency of labeling, this paper innovatively considered different types of lesions as different labels for a fundus image so that this paper changed the task of lesion detection into that of image classification. A total of five labels were pre-defined and 3228 fundus images were collected for developing our model. The architecture of deep learning model was designed by ourselves based on ResNet. Through experiments on the test images, this method acquired a sensitive of 93.9% and a specificity of 94.4% on DR classification. Moreover, the corresponding regions of lesions were reasonably outlined on the DR fundus images.

关键词： Lesions Training Machine learning Labeling Classification algorithms Retinopathy Adaptation models

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Robust diffusion parametric mapping of motion-corrupted data with a three-dimensional convolutional neural network

arXiv

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arXiv 2019年

作者： Gong, Ting Tong, Qiqi He, Hongjian Li, Zhiwei Zhong, Jianhui Center for Brain Imaging Science and Technology Key Laboratory for Biomedical Engineering of Ministry of Education College of Biomedical Engineering and Instrumental Science Zhejiang University Hangzhou China Department of Instrument Science and Technology Zhejiang University Hangzhou China Department of Imaging Sciences University of Rochester RochesterNY United States

Head motion is inevitable in the acquisition of diffusion-weighted images, especially for certain motion-prone subjects and for data gathering of advanced diffusion models with prolonged scan times. Deficient accuracy of motion correction cause deterioration in the quality of diffusion model reconstruction, thus affecting the derived measures. This results in either loss of data, or introducing bias in outcomes from data of different motion levels, or both. Hence minimizing motion effects and reutilizing motion-contaminated data becomes vital to quantitative studies. We have previously developed a 3-dimensional hierarchical convolution neural network (3D H-CNN) for robust diffusion kurtosis mapping from under-sampled data. In this study, we propose to extend this method to motion-contaminated data for robust recovery of diffusion model-derived measures with a process of motion assessment and corrupted volume rejection. We validate the proposed pipeline in two in-vivo datasets. Results from the first dataset of individual subjects show that all the diffusion tensor and kurtosis tensor-derived measures from the new pipeline are minimally sensitive to motion effects, and are comparable to the motion-free reference with as few as eight volumes retained from the motion-contaminated data. Results from the second dataset of a group of children with attention deficit hyperactivity disorder demonstrate the ability of our approach in ameliorating spurious group differences due to head motion. This method shows great potential for exploiting some valuable but motion-corrupted DWI data which are likely to be discarded otherwise, and applying to data with different motion level thus improving their utilization and statistic power. Copyright © 2019, The Authors. All rights reserved.

关键词： Diffusion

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Hydrogel-Mediated Preservation of Live Tumor Explants for Drug Development in Peritoneal Metastases

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Advanced Materials 2025年 e2418647页

作者： Wu, Kenny Zhuoran Ding, Rockie Haiyao Zhao, Zixuan Chong, Clara Yieh Lin You, Ruochii Zhou, Hengjia Seah, Dong Hua Leow, Wei Qiang Lim, Hong Kit Shyamasundar, Sukanya Fernando, Kanishka Kuthubudeen, Fathima Farzana Ng, Gillian Tay, Chor Yong Iyer, Narayanan Gopalakrishna Ong, Chin-Ann Johnny Fong, Eliza Li Shan Department of Biomedical Engineering National University of Singapore 15 Kent Ridge Crescent Singapore 119276 Singapore The N.1 Institute for Health National University of Singapore 28 Medical Drive Singapore 117456 Singapore Laboratory of Applied Human Genetics Division of Medical Sciences National Cancer Center Singapore 30 Hospital Boulevard Singapore 168583 Singapore Department of Sarcoma Peritoneal and Rare Tumors (SPRinT) Division of Surgery and Surgical Oncology Singapore General Hospital Outram Road 169608 and National Cancer Center Singapore 30 Hospital Boulevard Singapore 168583 Singapore Department of Anatomical Pathology Division of Pathology Singapore General Hospital 20 College Road Singapore 169856 Singapore School of Materials Science and Engineering Nanyang Technological University 50 Nanyang Avenue Singapore 639798 Singapore Multiphoton Microscopy Core Facility Yong Loo Lin School of Medicine National University of Singapore 4 Science Drive 2 Singapore 117544 Singapore Division of Surgical Oncology National Cancer Center Singapore 30 Hospital Boulevard Singapore 168583 Singapore Department of Head and Neck surgery Singapore General Hospital Outram Road Singapore 169608 Singapore SingHealth Duke-NUS Oncology Academic Clinical Program Duke-NUS Medical School 8 College Road Singapore 169857 Singapore Institute of Molecular and Cell Biology (IMCB) Agency for Science Technology and Research (A*STAR) 61 Biopolis Drive Proteos 138673 Singapore Cancer Science Institute National University of Singapore 14 Medical Drive Singapore 117599 Singapore

Clinically effective treatments for peritoneal metastases (PM) remain a significant unmet need. To expedite drug development in PM, hyaluronan (HA) hydrogel-supported PM patient-derived tumor explants (PDTE) that better preserve histological features, composition, and biological pathways of the original tumor, as compared to conventional PDTE culture methods are developed. Hydrogel modulation shows that stiffness, degradation, three-dimensional embedding, and HA itself are key parameters that enhance PDTE maintenance ex vivo. Further, HA hydrogels effectively preserve PDTE viability by disrupting myosin II-mediated tissue contraction, a phenomenon that occurs in the absence of hydrogel embedding. Lastly, the addition of ascites into PM PDTE not only recapitulates changes to the tumor microenvironment as observed in patients but also ascites-dependent drug efficacy, highlighting the importance of incorporating ascites into ex vivo PM models for accurate therapeutic evaluation. The bioengineered PM PDTE models in this study serve as a valuable platform for drug development and treatment personalization. © 2025 The Author(s). Advanced Materials published by Wiley-VCH GmbH.

关键词： drug development hyaluronan hydrogels patient-derived tumor explants peritoneal metastases personalized oncology

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Electrochemical sensor based on ZnO@MWCNT/ glassy carbon electrode for the detection of warfarin (blood anticoagulant)

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Surfaces and Interfaces 2025年 67卷

作者： Manjunath, Kumbar Mudakappa Yemmi, Rajeshwari Swamy, B.E. Kumara Eldesoky, Gaber E. Govindasamy, Mani Division of Plant Breeding and Genetics Central Coffee Research Institute Karnataka Chikkamagaluru 577117 India Department of Industrial Chemistry Kuvempu University Karnataka Shivamogga India Department of Chemistry College of Science King Saud University P. O. Box 2455 Riyadh 11451 Saudi Arabia International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City 243303 Taiwan Centre for Applied Research Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Tamil Nadu Chennai 602105 India Research Center for Intelligence Medical Devices Ming Chi University of Technology New Taipei City 243303 Taiwan Department of Chemistry Korea University Seoul Seongbuk-gu South Korea

This study employed ZnO nanoparticles, multi-walled carbon nanotubes (MWCNTs), and a modified glassy carbon electrode (GCE) as a quick and sensitive method for detecting warfarin at biological pH levels. The ultrasonication technique was utilized in the synthesis of the ZnO@MWCNTs nanocomposite. The ZnO@MWCNTs were characterized using Transmission electron microscopy (TEM), Scanning electron microscopy (SEM), X-ray diffraction (XRD), spectroscopy, analytical techniques, and electrochemical impedance spectroscopy (EIS). Cyclic voltammetry (CV) as well as differential pulse voltammetry (DPV) techniques are employed in the presence of PBS buffer as an electrolyte. We observed unique oxidative peak currents an indication of the electrochemical mechanism of warfarin at low potentials for ZnO @MWCNTs/GCE. Moreover, we successfully attained effective electrochemical detection of warfarin utilizing the proposed sensor, which exhibited an excellent low limit of detection (LOD) of 0.0188 μM across a linear range of 0.02–2867.37 μM. The proposed sensor exhibits excellent storage stability, repeatability, and reproducibility, and has been effectively utilized for the quantification of warfarin in real samples, including blood serum and urine as obtained good recovery and RSD value. © 2025 Elsevier B.V.

关键词： Differential pulse voltammetry Glassy carbon electrode Multiwalled carbon nanotubes Warfarin ZnO nanoparticles

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Blood absorption improvement of a naturally derived hemostatic agent by atmospheric pressure plasma jet

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Materials Today: Proceedings 2019年 17卷 2088-2096页

作者： Jureeporn Jaifu Kittiya Thunsiri Suruk Udomsom Dheerawan Boonyawan Wassanai Wattanutchariya Biomedical engineering program Faculty of Engineering Chiang Mai University Chaing Mai Thailand Biomedical engineering center(BMEC) Chiang Mai University Chiang Mai 50200 Thailand Advanced manufacturing technology research center(AMTech) Department of Industrial Engineering Chiang Mai University Chiang Mai Thailand Plasma and beam physics research facility(PBP) Department of Physics and Materials Faculty of Science Chiang Mai University Chiang Mai Thailand

Hemostatic capability improvement of a chitosan hemostatic agent was achieved by surface modification using the atmospheric pressure plasma jet experiment. The chitosan hemostatic agent acquired high blood absorption rate, at 4.60 ml/m, when exposed to input power 10 W of the radiofrequency power supply, the argon flow rate of 4 L/m mixture with an oxygen gas of 10 ml/m, and treatment time of 30 s. A significant decreased was observed in the hemoglobin leak value, inducing early blood clotting ability of clotting in 30 s. The strong relation of gas plasma discharge with the OH radical and the atomic oxygen, exhibited an increase in the hydrophilic properties, which lead to the chitosan hemostatic agent being very effective.

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Quantification method for timolol from in viv samples for the development of a new glaucoma drug depot

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Current Directions in biomedical engineering 2018年第1期4卷 225-227页

作者： Eickner, Thomas Kopp, Franziska Brietzke, Andreas Kischkel, Sabine Oschatz, Stefan Schmitz, Klaus-Peter Guthoff, Rudolf Grabow, Niels Institute for Biomedical Engineering University Medical Center Rostock Rostock Germany Department of Ophthalmology Rostock University Medical Center Rostock Germany Institute for Implant Technology and Biomaterials e.V. Rostock Germany

Glaucoma is the second most common cause of blindness. An increased intraocular pressure is the only treatable symptom of glaucoma. Because patients often exhibit a poor therapy adherence, a drug depot consisting of ELA-NCO and hyaluronic acid with timolol was developed to ensure sustained drug release. This drug depot is formed by in situ polymerisation after injection into the subconjunctival space. To test the in vivo drug release of timolol in serum and aqueous humour, a liquid chromatography mass spectrometry (LCMS) method was developed and tested using spike- and recovery experiments, and on in vivo samples after topical application. Samples of serum and aqueous humour were taken from New Zealand White rabbits. For topical application, a commercially available formulation of timolol was used. This study presents results concerning the recovery of timolol from spiked samples. Serum and aqueous humour samples were spiked with timolol maleate to a final concentration of 50 ng/mL. Subsequently, the samples were extracted and analysed by LCMS. External calibration of the developed method showed high linearity. Recovery experiments showed no loss of timolol. Hence, the extraction method is robust and able to recover the whole amount of timolol from aqueous humour and serum. © 2018 Thomas Eickner et al.

关键词： Recovery

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Endometrial decidualization status modulates endometrial microvascular complexity and trophoblast outgrowth in gelatin methacryloyl hydrogels

npj women's health

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npj women's health 2024年第1期2卷 22-22页

作者： Samantha G Zambuto Hannah Theriault Ishita Jain Cody O Crosby Ioana Pintescu Noah Chiou Michelle L Oyen Janet Zoldan Gregory H Underhill Brendan A C Harley Kathryn B H Clancy Department of Bioengineering University of Illinois Urbana-Champaign Urbana IL 61801 USA. Department of Physics Southwestern University Georgetown TX 78626 USA. Department of Biomedical Engineering University of Texas at Austin Austin TX 78712 USA. Department of Molecular and Cellular Biology University of Illinois Urbana-Champaign Urbana IL 61801 USA. Department of Biomedical Engineering Washington University in St. Louis St. Louis MO 63130 USA. Center for Women's Health Engineering Washington University in St. Louis St. Louis MO 63130 USA. Department of Obstetrics and Gynecology Washington University School of Medicine St. Louis MO 63130 USA. Carl R. Woese Institute for Genomic Biology University of Illinois Urbana-Champaign Urbana IL 61801 USA. Department Chemical and Biomolecular Engineering University of Illinois Urbana-Champaign Urbana IL 61801 USA. Cancer Center at Illinois University of Illinois Urbana-Champaign Urbana IL 61801 USA. Department of Anthropology University of Illinois Urbana-Champaign Urbana IL 61801 USA. Beckman Institute for Advanced Science & Technology University of Illinois Urbana-Champaign Urbana IL 61801 USA.

The endometrium undergoes rapid cycles of vascular growth, remodeling, and breakdown during the menstrual cycle and pregnancy. Decidualization is an endometrial differentiation process driven by steroidal sex hormones that is critical for blastocyst-uterine interfacing and blastocyst implantation. Certain pregnancy disorders may be linked to decidualization processes. However, much remains unknown regarding the role of decidualization and reciprocal trophoblast-endometrial interactions on endometrial angiogenesis and trophoblast invasion. Here, we report an engineered endometrial microvascular network embedded in gelatin hydrogels that displays morphological and functional patterns of decidualization. Vessel complexity and biomolecule secretion are sensitive to decidualization and affect trophoblast motility, but that signaling between endometrial and trophoblast cells was not bi-directional. Although endometrial microvascular network decidualization status influences trophoblast cells, trophoblast cells did not induce structural changes in the endometrial microvascular networks. These findings add to a growing literature that the endometrium has biological agency at the uterine-trophoblast interface during implantation. Finally, we form a stratified endometrial tri-culture model, combining engineered microvascular networks with epithelial cells. These endometrial microvascular networks provide a well-characterized platform to investigate dynamic changes in angiogenesis in response to pathological and physiological endometrial states.

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