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50th International Conference on Computers and Industrial engineering: Sustainable Digital Transformation, CIE 2023

作者： Alshamsi, Hessa Marei, Fatemaal Marwan, Tasnim Shamayleh, Abdulrahim Department of Industrial Engineering American University of Sharjah Sharjah United Arab Emirates Biomedical Engineering Graduate Program American University of Sharjah Sharjah United Arab Emirates Department of Industrial Engineering Biomedical Engineering Graduate Program American University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9781713886952

Blockchain technology is being recognized as a significant solution to technical issues across various industries, including healthcare. In the healthcare sector, Blockchain has the potential to revolutionize processes such as transferring patient medical records, managing the medicine supply chain, and aiding healthcare researchers in unlocking genetic code. The United Arab Emirates (UAE) has emerged as a developed country actively exploring blockchain technology to enhance its healthcare sector. Despite efforts to improve healthcare in the UAE, integrating new technologies has been limited. The focus has primarily been on improving equipment and procedures rather than adopting innovative solutions. The growing population and increasing emphasis on medical tourism have also amplified the demand for advanced healthcare services. Therefore, immediate action is required to initiate significant developments in the healthcare sector. This research aims to highlight the importance and role of blockchain technology, specifically in the UAE healthcare sector. It seeks to improve the competence and privacy of healthcare data systems while addressing concerns related to centralization. The study presents recent findings concerning the initiatives and vision of the UAE government to establish a globally outstanding healthcare sector. It defines blockchain technology and emphasizes its positive impact on enhancing healthcare data systems. Furthermore, the research showcases various applications of blockchain technology that can be implemented in the healthcare sector. By demonstrating blockchain technology's benefits and potential applications, this research endeavors to encourage the strategic adoption of blockchain solutions in the healthcare sector. Such initiatives can pave the way for advancements in patient data systems and privacy. © 2023 Computers and Industrial engineering. All rights reserved.

关键词： Blockchain

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A motion-level-aware denoising framework for x-ray fluoroscopic images

A motion-level-aware denoising framework for x-ray fluorosco...

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Medical Imaging 2023: Physics of Medical Imaging

作者： Jo, Geonhui Jang, Minhee Jeon, Sun-Young Kim, Wonjin Choi, Jang-Hwan Department of Computer Science and Engineering Ewha Womans University Seoul03760 Korea Republic of Division of Mechanical and Biomedical Engineering Graduate Program in System Health Science and Engineering Ewha Womans University Seoul03760 Korea Republic of

ISBN: (纸本)9781510660311

Fluoroscopy in a low-dose tube output is used to reduce the damage associated with radiation exposure. However, lowering the radiation dose inevitably increases random noise in x-ray images, resulting in poor diagnostic image quality, which requires noise reduction for accurate diagnosis. Also, in the case of non-static objects, the image is blurred due to motion. The most-used denoiser with a recursive filter (RF) preserves details well when applied to temporal data, but it is vulnerable to motion blur. Existing convolutional neural network (CNN)-based algorithms with single-frame input cannot use the temporary context, and others with multi-frame input are good for motion detection but poor for detail preservation. Therefore, we propose a motion-level-aware denoising framework to combine the results of RF- and CNN-based algorithms depending on the pixel-wise magnitude of motion to complement each other. The data we use are fluoroscopy images taken in continuous time, and we aim at many-to-one so that one frame is denoised by considering sequential frames. Also, since both RF- and CNN-based algorithms used in our architecture are many-to-one methods, they can consider spatiotemporal information. In the multi-frame input, the difference in intensity of each pixel between frames is calculated to obtain a moving map. Depending on the factor value from the moving map, the final image is obtained by reflecting the outputs of the RF- and CNN-based algorithms. If the factor value is high, the pixel intensity of the final image is like the CNN-based output, which is good for motion detection, and vice versa, it more reflects the intensity of RF output, which is excellent in perceptual quality. Therefore, it prevents motion blur and does not over-smooth microdetails, such as bones and muscles. The results show that combining the two outputs together records higher peak signal-to-noise ratio (PSNR) and has better perceptual quality for diagnosis than using only one method. F

关键词： Deep learning

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Performance analysis of an Injera baking machine by using solar energy

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Materials Today: Proceedings 2022年 56卷 3285-3293页

作者： Suresh, P. Ali, M.D. Irfan Rao, P. Govind Rudrapati, Ramesh Mechanical Engineering Department Bharat Institute of Engineering and Technology Mangalpally Telangana Sagar road Ibrahimpatnam RR Dist India Thermal & Aerospace Program School of Mechanical Chemical and Materials Engineering Adama Science and Technology Ethiopia Mechanical Engineering Department Avanthi Research and Technology Bhogapuram India School of Mechanical Industrial Engineering Bulehora University Bulehora Ethiopia

The majority of Ethiopia's population, primarily women, is susceptible to smoke inhalation during cooking, and they spend the majority of their time striving to collect firewood. Biomass deforestation for cooking harms the rural household economy and contributes to national and global environmental change, such as pollution and health issues. The effort should aim to integrate the Scheffler concentrator with a thermal storage system via the secondary solar cooking reflector in order to stimulate indoor cooking while avoiding concerns associated by carbon inhalation and deforestation. As a result, the Injera bakery system powered by solar thermal energy is born. There is a primary (Scheffler), secondary (reflective), and thermal storage device incorporated, as well as a cooking (pan) mounts. Solid works software was utilized for Scheffler focus and secondary reflector modeling and simulation. The thermal retention capacity of a storage device is determined using heating and cooling curves generated by software modeling and simulation. The findings gained would aid in the development of any comfortable indoor cooking system specifically for rural areas without a grid connection, and as a result of this study, carbon inhalation and deforestation difficulties would be mitigated. Through automation, the output rate would also increase the amount and efficiency of injera. This analysis focuses on the Injera baker concept for domestic applications. © 2021

关键词： Solar energy

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Modeling gut neuro-epithelial connections in a novel microfluidic device

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Microsystems & Nanoengineering 2023年第6期9卷 235-246页

作者： Jose M.de Hoyos-Vega Xi Yu Alan M.Gonzalez-Suarez Sisi Chen Arnaldo Mercado-Perez Eugene Krueger Jeric Hernandez Yaroslav Fedyshyn Brooke R.Druliner David R.Linden Arthur Beyder Alexander Revzin Department of Physiology and Biomedical Engineering Mayo ClinicRochesterMNUSA Enteric Neuroscience Program(ENSP) Mayo ClinicRochesterMNUSA Division of Gastroenterology and Hepatology Department of MedicineMayo ClinicRochesterMNUSA

The intestinal lumen is filled with diverse chemical and physical *** epithelial cells sense these stimuli and signal to enteric neurons which coordinate a range of physiologic processes required for normal digestive tract ***,the neuro-epithelial connections remain poorly resolved,in part because the tools for orchestrating interactions between these cellular compartments are *** describe the development of a two-compartment microfluidic device for co-culturing enteric neurons with intestinal epithelial *** device contains epithelial and neuronal compartments connected by *** epithelial compartment was designed for cell seeding via injection and confinement of intestinal epithelial cells derived from human intestinal *** demonstrated that organoids planarized effectively and retained epithelial phenotype for over a *** the second chamber we dissociated and cultured intestinal myenteric neurons including intrinsic primary afferent neurons(IPANs)from transgenic mice that expressed the fluorescent protein *** extended projections into microgrooves,surrounded and frequently made contacts with epithelial *** density and directionality of neuronal projections were enhanced by the presence of epithelial cells in the adjacent *** microfluidic device represents a platform that may,in the future,be used to dissect structure and function of neuro-epithelial connections in the gut and other organs(skin,lung,bladder,and others)in health and disease.

关键词： fluid bladder organs

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Organoid intelligence:Integration of organoid technology and artificial intelligence in the new era of in vitro models

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Medicine in Novel Technology and Devices 2024年第1期21卷 39-44页

作者： Huaiyu Shi Andrew Kowalczewski Danny Vu Xiyuan Liu Asif Salekin Huaxiao Yang Zhen Ma Department of Biomedical&Chemical Engineering Syracuse UniversitySyracuseNYUSA BioInspired Institute for Material and Living Systems Syracuse UniversitySyracuseNYUSA Department of Mechanical&Aerospace Engineering Syracuse UniversitySyracuseNYUSA Department of Electrical Engineering&Computer Science Syracuse UniversitySyracuseNYUSA Department of Biomedical Engineering University of North TexasDentonTXUSA

Organoid Intelligence ushers in a new era by seamlessly integrating cutting-edge organoid technology with the power of artificial ***,three-dimensional miniature organ-like structures cultivated from stem cells,offer an unparalleled opportunity to simulate complex human organ systems in *** the convergence of organoid technology and AI,researchers gain the means to accelerate discoveries and insights across various *** intelligence algorithms enable the comprehensive analysis of intricate organoid behaviors,intricate cellular interactions,and dynamic responses to *** synergy empowers the development of predictive models,precise disease simulations,and personalized medicine approaches,revolutionizing our understanding of human development,disease mechanisms,and therapeutic *** Intelligence holds the promise of reshaping how we perceive in vitro modeling,propelling us toward a future where these advanced systems play a pivotal role in biomedical research and drug development.

关键词： Organoids Machinelearning Deep learning Artificial intelligence Stem cells

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Beyond skills: building research capacity through cognitive apprenticeship and social capital

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Australasian Journal of engineering Education 2023年第1期28卷 97-109页

作者： Jensen, Karin J. Miller, Isabel M. Suresh, Deepthi E. Martin, Julie P. Department of Biomedical Engineering University of Michigan Ann ArborMI United States Engineering Education Research Program University of Michigan Ann ArborMI United States Engineering Education Transformations Institute University of Georgia AthensGA United States

International calls for building capacity in engineering education research (EER) as a discipline have led to the development of workshops, training programs, and resources for scholars to learn and practice EER. Building capacity in EER as a discipline depends not only on the research skills of scholars, but also their sustained engagement in the discipline through the development of strong social networks. Understanding how scholars develop robust social networks through mentorship will support building research capacity in the field. This study was designed to answer the research question: How do established engineering education researchers help new engineering education researchers build social capital for EER through mentoring relationships? It draws on semi-structured interviews leveraging critical incident technique conducted with nine participants: two mentors and seven mentees. The findings suggest that mentors serve critical roles in the professional development of engineering faculty (academics) in EER as a discipline, providing training in methods and theories, developing mentees’ social networks, and providing moral support for entering a new field. Building capacity efforts and related structured mentoring programs (and mentoring training) should emphasise the importance of developing mentees’ social networks to support sustained engagement in EER. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

关键词： engineering education

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Performance test of brushless direct current (BLDC) generator in micro hydro power plant (MHPP) with Archimedes screw turbine 1

Performance test of brushless direct current (BLDC) generato...

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1st International Seminar on Physics and Its Application, IsoPA 2024

作者： Bustomi, M.A. Setiawan, F.B. Indarto, B. Purwanti, E. Department of Physics Institut Teknologi Sepuluh Nopember Surabaya Indonesia Biomedical Engineering Program Universitas Airlangga Surabaya Indonesia

Brushless Direct Current (BLDC) generators have many advantages over DC generators that use brushes. In this research, the advantages of the BLDC generator are applied as a generator for a micro-hydro power plant (MHPP) that uses an Archimedes screw turbine. The study aims to test the performance of the BLDC generator as a generator on the Archimedes screw turbine MHPP. The MHPP specifications for the Archimedes screw turbine used in this research are an Archimedes screw turbine with three blades, an elevation angle of 40◦ and a transmission gear ratio of 2.8:1. The screw turbine has an inner diameter of 14.02 cm, an outer diameter of 23.9 cm, a pitch of 25.67 cm and a length of 51.34 cm. The generator used is a 3-phase Brushless Direct Current (BLDC) generator. The load used is a 12 Volt LED lamp with a 5 to 20 Watts power. The test results at a discharge of 0.00634 m3/s showed that the mechanical power was (36.408 ± 0.202) Watts and the highest electrical power was (7.86 ± 0.03) Watts. Based on these results, the efficiency of electrical power on mechanical power is around 22%. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Hydroelectric power plants

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Bulk Acoustic Wave Activated Droplet Generation and Isolation 48th

Bulk Acoustic Wave Activated Droplet Generation and Isolatio...

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48th National Conference on Fluid Mechanics and Fluid Power, FMFP 2021

作者： Hemachandran, E. Laurell, T. Sen, A.K. Department of Mechanical Engineering IIT Madras Chennai600036 India Division of Nanobiotechnology Department of Biomedical Engineering Lund University Lund22100 Sweden

ISBN: (纸本)9789811962691

On-demand droplet generation from a continuously flowing stream of aqueous phase has profound applications in dropletbased microfluidics for rare event encapsulation studies. Here, we present acoustic relocation-based droplet generation from co-flowing immiscible fluids in an on-demand manner using bulk acoustic wave (BAW). After on-demand droplet generation, droplets are isolated using the same acoustic force resulted from BAW. Two different acoustic relocation regimes are observed, namely, stream to droplet relocation and stream to stream relocation regime. Our experimental observation reveals that to generate droplets from co-flowing fluids, the following conditions must be satisfied. First, the co-flowing immiscible stream should be maintained in acoustic relocation conditions (Cac > 1);Second, the capillary instability should be triggered during the relocation process, which happens at capillary numbers of the co-flowing fluids should be less than 0.2 (CaL and CaH © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Drops

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Rushing-Hopping Mode for Nondestructive Intracellular Electrophysiological Recordings

Rushing-Hopping Mode for Nondestructive Intracellular Electr...

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2023 IEEE International Conference on Robotics and Biomimetics, ROBIO 2023

作者： Yang, Shengjie Wu, Cong Li, Wen Jung Wai Chiu Lai, King City University of Hong Kong Department of Biomedical Engineering Hong Kong City University of Hong Kong Department of Mechanical Engineering Hong Kong

ISBN: (纸本)9798350325706

Patch clamp is the primary tool for quantitative recordings of ion channel currents in cell membranes. However, the break-in procedure to achieve whole-cell configuration results in cell death. In this paper, we propose a rushing-hopping mode to harvest intracellular electrophysiological recordings without cell membrane damage. The mechanism penetrates the cell membrane by oscillating the micropipette tip. After micropipette withdrawal, the cell membrane repairs the contact wound and heals. High-resistance micropipettes and precise micromanipulation are required to implement the measurement procedures. The parameters for the proposed mode are experimentally specified. For the performance validation, HEK293 cells are employed for whole-cell voltage clamp recordings by this novel mode and traditional mode. It is investigated that the two electrophysiological results are consistent. Electrically stimulated myotube contractions of C2C12 cells are carried out by the rushing-hopping mode to illustrate electrophysiological activities. The completion time for one test is recorded as 5-10 minutes. The experimental results demonstrate the proposed mode could be applied practically to nondestructive intracellular electrophysiological recordings. © 2023 IEEE.

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An integrated computer vision system for real-time monitoring and control of long-fiber embedded hydrogel 3D printing

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Materials Today: Proceedings 2022年 70卷 376-381页

作者： Sun, Wenhuan Webster-Wood, Victoria Department of Mechanical Engineering 5000 Forbes Ave Pittsburgh 15213 United States Department of Biomedical Engineering 5000 Forbes Ave Pittsburgh 15213 United States

3D printed hydrogel components have been used in a wide range of applications including tissue engineering and soft and biohybrid robotics. Advances in embedded printing, such as the Freeform Reversible Embedding of Suspended Hydrogels (FRESH), have further improved the geometric fidelity of 3D printed hydrogels using a fugitive support bath. Recently, it has been shown that the structural rigidity of hydrogels fabricated with embedded 3D printing can be significantly reinforced for a wider range of applications using the Long-fiber Embedded FRESH (LFE-FRESH) technique, an extension of FRESH by combing fiber embedding and hydrogel 3D printing. However, fibers are prone to buckling under compression load due to the high slenderness ratio and maintaining fiber stability during embedding is vital for LFE-FRESH. In this study, we introduce an integrated computer vision (CV) system for the continuous monitoring and control of LFE-FRESH, which actively adjusts the fiber embedding process in real-time by quantifying fiber deformation from the video data and controlling the fiber extrusion motor. Using the prototype, we demonstrated that the integrated CV system effectively prevents fiber buckling, corrects for over-extrusion during the LFE-FRESH process, and improves fiber embedding quality. Moreover, this technique was implemented with low-cost, mass-produced components and can be conveniently integrated with existing open-source LFE-FRESH software and hardware, which improves its accessibility and facilitates future adaptations for new research applications. © 2022

关键词： Hydrogels

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