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SSRN 2022年

作者： Rieland, Julie M. Hu, Zeyuan Deese, Julian S. Love, Brian J. The University of Michigan United States Department of Materials Science and Engineering Department of Biomedical Engineering Macromolecular Science and Engineering Graduate Program

Microplastics are a growing environmental concern, with a large body of evidence documenting substantial distribution of plastic material in virtually all environmental compartments. Countermeasures that help to bind, aggregate, or coalesce these distributed particles might result in lower human and animal exposures. Pressure sensitive adhesives (PSAs) have been identified as a viable microplastic (MP) capture mechanism with a range of potential use conditions. As with any countermeasure, there is a need to evaluate potential solutions in terms of collection efficiency, cost, ease of installation, etc. Expanding on our previous work, spray-coated PSAs were investigated as submerged surfaces as tools to assess MP binding in aqueous dispersions. Resins containing two differing molecular weights of poly(2-ethylhexyl acrylate) PSA (92k and 950k), and a 50:50 by weight mixture of the two resins were applied as spray-coated substrates to compare the effect of resin composition on MP-adhesive binding. Thin films of PSA (92k 6 ± 1 μm, 950k 4 ± 2 μm, 50:50 BD 6.5 ± 1 μm) were sprayed on borosilicate glass slides using a commercial air brush. Polydisperse nylon-12 particles varying in size from 15-30 µm in diameter were dispersed in deionized water at concentrations between 0.01 and 5 mg mL -1 and agitated under ambient conditions to assess adhesive binding as quantitative comparisons of microparticle capture. Mixed assays were also performed comparing binding of common MP species including polyethylene (50, 200 µm), polystyrene (10 µm), and polyester fibers (1000 µm) to understand how varying composition, size, and form factor affect adsorption. The glass slide method showed increasing linear trends of particle binding with increased adhesive exposure time and MP concentration. The lower molecular weight 92K adhesive had lower viscosity, higher wettability for microplastics but also led to a less stable adhesive film complicating analysis. As a field-deployable scheme for mi

关键词： Aggregates

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Electrical Characteristic and Power Fluctuations of GAA Si NS CFETs by Simultaneously Considering Six Process Variation Factors

IEEE Open Journal of Nanotechnology

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IEEE Open Journal of Nanotechnology 2023年 4卷 229-238页

作者： Kola, Sekhar Reddy Li, Yiming National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program Hsinchu300093 Taiwan Parallel and Scientific Computing Laboratory National Yang Ming Chiao Tung University Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Institute of Communications Engineering Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Institute of Biomedical Engineering Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Department of Electronics and Electrical Engineering Hsinchu300093 Taiwan

Characteristic variability induced by process variation effect (PVE) is one of technological challenges in semiconductor industry. In this work, we computationally study electrical characteristic and power fluctuations induced by six factors of PVE of the gate-all-around (GAA) silicon (Si) nanosheet (NS) complementary field-effect-transistors (CFETs) which are formed by vertically stacking n-FET on top of p-FET. Among the six factors, NS thickness (TNS), NS width (WNS), and gate length (LG) are identified as crucial factors contributing to large variations in device characteristics. The p-FET exhibits substantial off-state current fluctuation (about 151%) due to the bottom parasitic channel leakages. Compared with the magnitudes of dynamic and short circuit powers, the static power is marginal, but it possesses the largest fluctuation (up to 148%). If we assume that each factor of PVE has the same probability distribution as the others and all are mutually independent, the statistical sum of their power fluctuations will exhibit more than 50% overestimations, compared with the results when all factors are considered simultaneously. © 2020 IEEE.

关键词： III-V semiconductors

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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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Mesenchymal stromal cell-derived small extracellular vesicles modulate macrophage polarization and enhance angio-osteogenesis to promote bone healing

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Genes & Diseases 2022年第4期9卷 841-844页

作者： Shang Jiunn Chuah Chee Weng Yong Kristeen Ye Wen Teo Jacob Ren Jie Chew Yi Ann Cheow Shipin Zhang Raymond Chung Wen Wong Asher Ah Tong Lim Sai Kiang Lim Wei Seong Toh Faculty of Dentistry National University of Singapore119085Singapore Institute of Molecular and Cell Biology Agency for ScienceTechnology and Research138648Singapore Department of Orthopaedic Surgery Yong Loo Lin School of MedicineNational University of Singapore119288Singapore Department of Biomedical Engineering Faculty of EngineeringNational University of Singapore117583Singapore Tissue Engineering Program Life Sciences InstituteNational University of Singapore117456Singapore Integrative Sciences and Engineering Program NUS Graduate SchoolNational University of Singapore119077Singapore

Mesenchymal stem/stromal cells(MSCs)have demonstrated therapeutic efficacy for bone regeneration in animal and clinical *** MSCs were initially thought to differentiate to various cell types to replace the injured/diseased tissue,it is now accepted that these cells secrete factors to promote tissue repair.1 Among these factors,small extracellular vesicles(sEVs)of size 50–200 nm,which include the exosomes,have been identified as the principal agent mediating the wide-ranging therapeutic efficacy of MSCs.2 Several studies have also reported the therapeutic effects of MSC-sEVs to enhance bone repair in animal models,as recently reviewed.3 However,the cellular processes and mechanisms mediated by MSC-sEVs in bone regeneration remain to be fully elucidated.

关键词： healing clinical macrophage

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Microenvironmental regulation of stem cells injected in the area at risk of neurodegenerative diseases

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BIOCELL 2022年第10期46卷 2231-2234页

作者： JU HYUNG LEE IL-KWON KIM SANG WOO KIM SOYEON LIM SEAHYOUNG LEE KI-CHUL HWANG BYEONG-WOOK SONG Graduate Program of Biomedical Engineering Yonsei UniversitySeoul03722Korea Institute for Bio-Medical Convergence College of MedicineCatholic Kwandong UniversityGangwon-do25601Korea Department for Medical Science College of MedicineCatholic Kwandong UniversityGangwon-do25601Korea

The complex mechanism of degenerative diseases and the non-specific modulation of regenerative targets aretopics that need to be elucidated in order to advance the use of stem cells in improvement of neurodegenerative *** pre-transplantation through post-transplantation, there are many changes in the conditions, both inside andoutside of the stem cells that have not been carefully considered. This has hindered development in the field of celltherapy and regeneration. This viewpoint highlights the potential implications of intracellular and extracellularalterations of stem cells in transplanted areas at risk of neurodegenerative disease.

关键词： Cell therapy Microenvironment Neurodegenerative disease Stem cells

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3D scaffolds-specific cellular mechanoresponse as a pivotal regulating factor in tissue engineering

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JMST Advances 2024年第2期6卷 121-134页

作者： Ahn, Yejin Chang, Hyewon Baek, Jieung Department of Biological Sciences Pusan National University Busan Republic of Korea Division of Mechanical and Biomedical Engineering Ewha Womans University Seoul Republic of Korea Graduate Program in System Health Science and Engineering Ewha Womans University Seoul Republic of Korea

In tissue engineering, the mechanical properties of the extracellular matrix (ECM) or scaffolds have increasingly been considered to impact therapeutic efficacy by regulating cell behaviors, including differentiation, proliferation, migration, and adhesion. However, the understanding of how cells sense, integrate, and convert the mechanical cues from the ECM cues into biochemical signals to control certain cell behaviors is still elusive, especially in 3D, which more closely mimics the natural microenvironment than 2D systems. This review highlights the key differences between 2 and 3D in the contexts of mechanoregulative cell behaviors such as cell adhesion, spreading, migration, and force transmission. Furthermore, critical designing factors that needs to be considered for the fabrication of 3D tissue engineering scaffolds is discussed: stiffness, viscoelasticity, degradability, and the immobilization of biomolecules. Although mechanotransduction in 3D is actively being studied, understanding cellular mechanotransduction in 3D and designing of mechanoregulative 3D scaffolds still presents several challenges, including varying mechanical properties depending on different tissues, dynamic mechanical environments, and integration of multimodal cues. Interdisciplinary methodologies encompassing material engineering, cell biology, and mechanical engineering would serve to mitigate these challenges and augment our understanding of mechanoregulation governing cellular behaviors, thus fostering advancements in biomedical applications in the future.

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Effect of High-Flow Nasal Cannula on Capnogram Waveform for Studying Non-Invasive Human Ventilation

Effect of High-Flow Nasal Cannula on Capnogram Waveform for ...

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biomedical engineering Conference (NBEC), IEEE National

作者： Tjokorda Gde Tirta Nindhia Nursyasa Aqila Mohammed Julia Jais Jamaludin Pagupathi Devandran Nabiel Rafa Angel Bhaswara Thalitakum Hutajulu M.B. Malarvili Study Program of Mechanical Engineering Engineering Faculty Udayana University Jimbaran Bali Indonesia School of Biomedical and Health Science Engineering Universiti Teknologi Malaysia Johor Malaysia

This study is conducted to compare three different cannulas; all purpose nasal cannula with 2 prongs, nasal pressure cannula with 2 prongs and single port nasal cannula which are commonly used for capnography device. These cannulas or sometimes called as nasal prong is connected to the device via nose of subjects studied. This procedure is a part of respiratory study to monitor lungs condition and breathing pattern. This study involves 47 subject where the exhaled breath was recorded to make comparison and choose the most suitable and effective for capnography waveform analysis. Utilizing Statistical Package for the Social sciences (SPSS) to find the normality of all the nasal cannula data based on capnogram waveform. The result from the analysis shows that the frequency distribution for type 1 nasal cannula which is also known as all-purpose nasal cannula had the feature values closer to the standard value. Our study proofs that all purpose nasal cannula sampling is the most suitable to capture exhaled breath for monitoring respiratory conditions.

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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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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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Physician Scheduling using Constraint Satisfaction programming

Physician Scheduling using Constraint Satisfaction Programmi...

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Electronics, Communications, and Computations (JAC-ECC), International Japan-Africa Conference on

作者： Hend A. Bakr Ahmed M. Salama Ahmed Fares Ahmed B. Zaky Biomedical Engineering Program Faculty of Engineering Cairo University Giza Egypt Computer Systems Engineering Program Faculty of Engineering at Shoubra Benha University Banha Egypt Computer science and information technology Programs Egypt-Japan University of Science and Technology (E-JUST) Alexandria Egypt On leave from Computer Systems Engineering Program Faculty of Engineering at Shoubra Benha University

Physician scheduling is a critical task that impacts the quality of patient care, staff satisfaction, and operational efficiency in healthcare institutions. The traditional approach to physician scheduling is manual and time-consuming, which can result in errors, staff burnout, and suboptimal schedules. To address these challenges, researchers have turned to optimization techniques like CSP, which has shown promise in solving physician scheduling problems. This paper reviews the existing literature on CSP for physician scheduling and highlights the benefits and limitations of this approach. CSP's benefits include generating schedules quickly and efficiently, incorporating complex constraints and preferences, and handling changes and disruptions in real time. However, CSP also has some limitations, such as the need for a formalized model and the fact that it may not always generate the most intuitive schedules. Overall, the findings suggest that CSP is a promising approach to physician scheduling that can produce high-quality schedules while minimizing staff burnout and improving operational efficiency.

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