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SSRN 2023年

作者： Yoo, Hoyeon Shin, Naechul Program in Biomedical Science and Engineering Inha University Incheon22212 Korea Republic of Program in Smart Digital Engineering Inha University Incheon22212 Korea Republic of Department of Chemical Engineering Inha University Incheon22212 Korea Republic of

The fabrication of pinhole-free and well-intergrown metal-organic frameworks (MOFs) in film morphology is crucial for various applications such as gas separation and sensing, as it necessitates uniform and controlled mass transport and sorption at the internal pore surfaces. In this work, we report the growth of continuous zeolitic imidazolate framework-8 (ZIF-8) thin films via a secondary growth method using a consecutive ZnO seed layer overlaying approach. The primary growth of ZIF-8 crystals on planar substrates occurs through heterogeneous nucleation, followed by overlaying ZnO seed layers via radio frequency (RF) sputtering for secondary growth. We systematically investigate the morphology, crystallinity, and surface properties of the resulting ZIF-8 films. Our results confirm that the seed layer overlaying induces core-shell-like epitaxial growth on the primary ZIF-8 crystals, promoting conformal growth and interconnection between isolated islands. These findings demonstrate a promising method for synthesizing continuous, pinhole-free MOF films with various compositions and porosities for numerous applications. © 2023, The Authors. All rights reserved.

关键词： Zinc oxide

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Global distortions from local rewards: neural coding strategies in path-integrating neural systems 24

Global distortions from local rewards: neural coding strateg...

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Proceedings of the 38th International Conference on Neural Information Processing Systems

作者： Francisco Acosta Fatih Dinc William T. Redman Manu Madhav David Klindt Nina Miolane Department of Physics UC Santa Barbara CNC Program Stanford University Applied Physics Laboratory Johns Hopkins University Biomedical Engineering University of British Columbia NeuroAI CSHL Electrical & Computer Engineering UC Santa Barbara

ISBN: (纸本)9798331314385

Grid cells in the mammalian brain are fundamental to spatial navigation, and therefore crucial to how animals perceive and interact with their environment. Traditionally, grid cells are thought support path integration through highly symmetric hexagonal lattice firing patterns. However, recent findings show that their firing patterns become distorted in the presence of significant spatial landmarks such as rewarded locations. This introduces a novel perspective of dynamic, subjective, and action-relevant interactions between spatial representations and environmental cues. Here, we propose a practical and theoretical framework to quantify and explain these interactions. To this end, we train path-integrating recurrent neural networks (piRNNs) on a spatial navigation task, whose goal is to predict the agent's position with a special focus on rewarded locations. Grid-like neurons naturally emerge from the training of piRNNs, which allows us to investigate how the two aspects of the task, space and reward, are integrated in their firing patterns. We find that geometry, but not topology, of the grid cell population code becomes distorted. Surprisingly, these distortions are global in the firing patterns of the grid cells despite local changes in the reward. Our results indicate that after training with location-specific reward information, the preserved representational topology supports successful path integration, whereas the emergent heterogeneity in individual responses due to global distortions may encode dynamically changing environmental cues. By bridging the gap between computational models and the biological reality of spatial navigation under reward information, we offer new insights into how neural systems prioritize environmental landmarks in their spatial navigation code.

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Direct Interaction between the Transmembrane Helices Stabilize Cytochrome P450 2b4 and Cytochrome B5 Redox Complex

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SSRN 2023年

作者： Ramamoorthy, Ayyalusamy Sahoo, Bikash R. Biophysics Program Department of Chemistry Macromolecular Science and Engineering Biomedical Engineering Michigan Neuroscience Institute The University of Michigan Ann ArborMI48109-1055 United States

The catalytic activity of cytochrome P450 2B4 (CYP2B4) is moderated by its cognate redox partner cytochrome b5 (Cyt-b5). The endoplasmic reticulum (ER) membrane and intermolecular transmembrane (TM) interaction between CYP2B4 and Cyt-b5 regulate the substrate catalysis and the reaction rate. This emphasizes the significance of elucidating the molecular basis of CYP2B4 and Cyt-b5 complexation in a membrane environment to better understand the enzymatic activity of CYP2B4. Our previous solid-state NMR studies revealed the membrane topology of the transmembrane domains of these proteins in the free and complex forms. Here, we show the cross-angle complex formation by the single-pass TM domains of CYP2B4 and Cyt-b5, which is mainly driven by several salt-bridges (E2-R128, R21-D104 and K25-D104), using a multimicrosecond molecular dynamic simulation. Additionally, the leucine-zipper residues (L8, L12, L15, L18 and L19 from CYP2B4) and π-stacking between H23 and F20 residues of CYP2B4 and W110 of Cyt-b5 are identified to stabilize the TM-TM complex in the ER membrane. The simulated tilts of the helices in the free and in the complex are in excellent agreement with solid-state NMR results. The TM-TM packing influences a higher order structural stability when compared to the complex formed by the truncated soluble domains of these two proteins. MM/PBSA based binding free energy estimates nearly 100-fold higher binding affinity (ΔG=-2810.68±696.44 kJ/mol) between the soluble domains of the full-length CYP2B4 and Cyt-b5 when embedded in lipid membrane as compared to the TM-domain-truncated soluble domains (ΔG=-27.406±10.32 kJ/mol). The high-resolution full-length CYP2B4-Cyt-b5 complex structure and its dynamics in a native ER membrane environment reported here could aid in the development of approaches to effectively modulate the drug-metabolism activity of CYP2B4. © 2023, The Authors. All rights reserved.

关键词： Lipid bilayers

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Z-Laminating Assembly of Graphene Nanoflakes for Super-Strong Membranes and Functional Coatings

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ACS Applied Nano Materials 2024年第13期7卷 14957-14963页

作者： Santos, Ian Daniell Tjarks, Patrick Muthu, Jeyavelan Lin, You-Chen Yen, Zhi-Long Chand, Pradyumna Kumar Raman, Radha Nguyen, Dinh Tuan Rouhani, Mehdi Jeng, Yeau-Ren Hsieh, Ya-Ping Hofmann, Mario Department of Physics National Taiwan University Taipei 106 Taiwan Nano Science and Technology Program Taiwan International Graduate Program Academia Sinica and National Taiwan University Taipei 106 Taiwan J. Heyrovsky Institute of Physical Chemistry of the Czech Academy of Sciences Prague 18200 Czech Republic Institute of Atomic and Molecular Sciences Academia Sinica Taipei 106 Taiwan Department of Chemistry National Taiwan University Taipei 106 Taiwan Department of Physics National Central University Taoyuan 320 Taiwan Molecular Science and Technology Program Taiwan International Graduate Program Academia Sinica and National Central University Taipei 106 Taiwan Department of Biomedical Engineering National Cheng Kung University 1 University Road Tainan 70101 Taiwan Department of Materials Science and Engineering National Cheng Kung University Tainan 70101 Taiwan Academy of Innovative Semiconductor and Sustainable Manufacturing National Cheng-Kung University (NCKU) Tainan 70101 Taiwan

We demonstrate the strengthening of graphene, an atomically thin carbon allotrope, by out-of-plane folding. Through lateral confinement of graphene at the water-air interface, nanoscale buckling was induced in suspended flakes, leading to an unexpected folding transition beyond a critical surface pressure. The emergence of folding was confirmed by in situ Brewster angle reflectivity and ex situ microscopy, showing a unique “z-laminated” nanostructure. Molecular dynamics simulations indicate that z-lamination yields an enhanced adhesion between neighboring flakes compared to lateral sliding, which was confirmed by a surface pressure hysteresis during the folding process. Mechanical testing reveals superior Young’s modulus and yield strength when compared to conventional graphene assemblies and even compared to composites. We demonstrate the potential of the z-lamination approach for applications in graphene-based structural materials, tribological layers, and functional electrochemical coatings. Finally, the complete recyclability of z-laminated graphene opens up new routes toward sustainable nanostructured materials. © 2024 The Authors. Published by American Chemical Society

关键词： 2D materials composites laminated graphene membranes recyclable

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Cortical Organization of Ethological-like, Multi-Limb Movements

Cortical Organization of Ethological-like, Multi-Limb Moveme...

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Optics and the Brain, BRAIN 2024 - Part of Optica Biophotonics Congress: biomedical Optics

作者： Padawer-Curry, Jonah A. Khanal, Nischal Morris, Evan W. Bice, Annie R. Bauer, Adam Q. Imaging Science Program Washington University in St. Louis St. LouisMO United States Department of Radiology Washington University in St. Louis St. LouisMO United States Department of Biomedical Engineering Washington University in St. Louis St. LouisMO United States

We performed optogenetic motor mapping in combination with a markerless pose estimation algorithm, DeeplabCut (DLC) to characterize unrestricted motor responses. Assessment of multi-limb movements revealed ethological... 详细信息

ISBN: (纸本)9781957171340

关键词： Cameras Curvature Imaging systems Laser systems Lasers Mirrors

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Improved Metaheuristics with Machine Learning Enabled Medical Decision Support System

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Computers, Materials & Continua 2022年第11期73卷 2423-2439页

作者： Sara A.Althubiti JoséEscorcia-Gutierrez Margarita Gamarra Roosvel Soto-Diaz Romany F.Mansour Fayadh Alenezi Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Research Center-CIENS Escuela Naval de Suboficiales A.R.C.“Barranquilla”BarranquillaColombia Electronics and Telecommunications Engineering Program Universidad Autónoma del CaribeBarranquilla080001Colombia Departament of Computational Science and Electronic Universidad de la CostaCUCBarranquilla080001Colombia Biomedical Engineering Program Universidad Simón BolívarBarranquilla080001Colombia Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga 72511Egypt Department of Electrical Engineering College of EngineeringJouf UniversitySaudi Arabia

Smart healthcare has become a hot research topic due to the contemporary developments of Internet of Things(IoT),sensor technologies,cloud computing,and ***,the latest advances of Artificial Intelligence(AI)tools find helpful for decision-making in innovative healthcare to diagnose several *** Cancer(OC)is a kind of cancer that affects women’s ovaries,and it is tedious to identify OC at the primary stages with a high mortality *** OC data produced by the Internet of Medical Things(IoMT)devices can be utilized to differentiate *** this aspect,this paper introduces a new quantum black widow optimization with a machine learningenabled decision support system(QBWO-MLDSS)for smart *** primary intention of the QBWO-MLDSS technique is to detect and categorize the OC rapidly and ***,the QBWO-MLDSS model involves a Z-score normalization approach to pre-process the *** addition,the QBWO-MLDSS technique derives a QBWO algorithm as a feature selection to derive optimum feature ***,symbiotic organisms search(SOS)with extreme learning machine(ELM)model is applied as a classifier for the detection and classification of ELM model,thereby improving the overall classification *** design of QBWO and SOS for OC detection and classification in the smart healthcare environment shows the study’s *** experimental result analysis of the QBWO-MLDSS model is conducted using a benchmark dataset,and the comparative results reported the enhanced outcomes of the QBWO-MLDSS model over the recent approaches.

关键词： Ovarian cancer decision support system smart healthcare IoMT deep learning feature selection

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Wireless Galvanic Impulse Communication for High-Throughput, Low-Power, Miniaturized Neuromodulation Implants

Wireless Galvanic Impulse Communication for High-Throughput,...

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

作者： Morgan Riley FNU Tala Mehdi Bandali Benjamin C. Johnson Biomedical Engineering Doctoral Program Boise State University Boise ID USA Dept. of Electrical and Computer Engineering Boise State University Boise ID USA

Deeply implanted bioelectronic devices that selectively record and stimulate peripheral nerves have the potential to revolutionize healthcare by delivering on-demand, personalized therapy. A key barrier to this goal is the lack of a miniaturized, robust, and energy-efficient wireless link capable of transmitting data from multiple sensing channels. To address this issue, we present a wireless galvanic impulse link that uses two 500μm diameter planar electrodes on the outside of a nerve cuff to transmit data to a wearable receiver on the skin’s surface at rates greater than 1Mbps. To achieve an energy-efficient, high data rate link, our protocol encodes information in the timing of narrow biphasic pulses that is reconstructed by the wearable receiver. We use a combination of modeling and in vivo and in vitro experimentation to demonstrate the viability of the link. We demonstrate losses lower than 60dB even with significant, 50mm lateral misalignment, ensuring a sufficient signal-to-noise ratio for robust operation. Using a custom, flexible nerve cuff, we demonstrate data transmission in a 14mm-thick rodent animal model and in a 42mm-thick heterogeneous human tissue phantom.

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Swallowing Parameters in Neck Ultrasound Video for Quantitative Evaluation of Jelly Beverages

Swallowing Parameters in Neck Ultrasound Video for Quantitat...

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IEEE Global Conference on Consumer Electronics (GCCE)

作者： Hideaki Muramatsu Yutaka Suzuki Takao Kubo Masayuki Morisawa Graduate School of Informatics and Engineering The University of Electro-Communications Chofu Japan Department of Biomedical Engineering Toyo University Saitama Japan Research Institute Morinaga & Co. Ltd. Kanagawa Japan Faculty of Engineering University of Yamanashi Yamanashi Japan

ISBN: (数字)9798350355079

ISBN: (纸本)9798350355086

This research introduces an innovative method for evaluating jelly beverages using neck ultrasound videos. The expanding market for jelly beverages is increasing the demand for products tailored to consumers’ preferences, moods, and swallowing capabilities. Traditionally, sensory analysis, which depends on subjective sensory perceptions, has been used to evaluate these beverages. To address this limitation, we propose a method using neck ultrasound videos, which displays promise for the quantitative assessment of swallowing function and food evaluation. This is achieved by observing the movement of the bolus and the esophageal wall tissue during swallowing. We identified three swallowing parameters in neck ultrasound videos and developed a combined evaluation method that enables a quantitative and multifaceted evaluation of jelly beverages. The findings indicate significant correlations between swallowing parameters and sensory evaluation terms. The developed approach offers manufacturers a tool to objectively evaluate and improve jelly beverage formulations to cater to consumers with varying swallowing capabilities.

关键词： Ultrasonic imaging Correlation Mood Neck Older adults Consumer electronics Videos

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Pathological Gait Analysis With an Open-Source Cloud-Enabled Platform Empowered by Semi-Supervised Learning-PathoOpenGait

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IEEE Journal of biomedical and Health Informatics 2024年第2期28卷 1066-1077页

作者： Ho, Ming-Yang Kuo, Ming-Che Chen, Ciao-Sin Wu, Ruey-Meei Chuang, Ching-Chi Shih, Chi-Sheng Tseng, Yufeng Jane National Taiwan University Department of Computer Science and Information Engineering Taipei106 Taiwan National Taiwan University Hospital Department of Neurology Taipei City100 Taiwan National Taiwan University College of Medicine Taipei100 Taiwan National Taiwan University Cancer Center Department of Medicine Taipei City106 Taiwan National Taiwan University Graduate Institute of Biomedical Electronics and Bioinformatics Taipei106 Taiwan National Taiwan University Ntu IoX Research Center Taipei100 Taiwan National Taiwan University Graduate Institute of Networking and Multimedia Taipei100 Taiwan

We present PathoOpenGait, a cloud-based platform for comprehensive gait analysis. Gait assessment is crucial in neurodegenerative diseases such as Parkinson's and multiple system atrophy, yet current techniques are neither affordable nor efficient. PathoOpenGait utilizes 2D and 3D data from a binocular 3D camera for monitoring and analyzing gait parameters. Our algorithms, including a semi-supervised learning-boosted neural network model for turn time estimation and deterministic algorithms to estimate gait parameters, were rigorously validated on annotated gait records, demonstrating high precision and consistency. We further demonstrate PathoOpenGait's applicability in clinical settings by analyzing gait trials from Parkinson's patients and healthy controls. PathoOpenGait is the first open-source, cloud-based system for gait analysis, providing a user-friendly tool for continuous patient care and monitoring. It offers a cost-effective and accessible solution for both clinicians and patients, revolutionizing the field of gait assessment. PathoOpenGait is available at https://***. © 2013 IEEE.

关键词： Gait analysis

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The Influence of Rheology on Smooth Rod Coating Systems

The Influence of Rheology on Smooth Rod Coating Systems

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TAPPICon Conference 2022, TAPPICon 2022

作者： Roper, John Bousfield, Doug Welsch, Gregory Paper Surface Science Program Department of Chemical and Biomedical Engineering University of Maine OronoME04469-5737 United States Latex Binders Trinseo LLC MidlandMI48640 United States

Rod coating methods are of interest for the potential application of barrier coatings on paper in post-processing facilities that may run at moderate speeds and narrow widths. Difficulties are observed at low speeds to obtain good coat weight control because of poor hydrodynamic loading of the rod. While there is literature available about rod coating with a focus on ribbing instabilities and parameters linked to other defects, there seems to be less reported on the rod loading of smooth rods to obtain various coat weights. Also, much of the prior work is related to rod coating onto rubber transfer rolls at high speeds associated with the metered size press. Here, a simplified model is given, neglecting some complex features of rubber deformation and film split, to estimate the influence of the process parameters such as speed, rod diameter, viscosity and rod loading on the coat weight obtained. As found in practice, at low speed and low viscosities, the coat weight-load curve is steep, leading to poor control of the coat weight and coat weight uniformity. If the viscosity is increased, the curve is modified, and control is possible with rod loading in a normal range. For shear thinning fluids described by the Carreau model, the power law index and other parameters need to be in the correct range to obtain the desired effect. Modeling predictions show a steeper dependence of coat weight with rod pressure when compared to pilot coater data. Future modeling work will incorporate additional features such as rubber deformation and filtercake formation as ways to better match experimental results. © TAPPICon Conference 2022, TAPPICon 2022. All rights reserved

关键词： Loading

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