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26th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2022

作者： Hu, Jiumei Zhang, Pengfei Park, Joon Soo Hsieh, Kuangwen Chen, Liben Wang, Tza-Huei Department of Mechanical Engineering Johns Hopkins University United States Department of Biomedical Engineering Johns Hopkins University United States

ISBN: (纸本)9781733419048

Convenient and highly sensitive protein detection methods are in great demand for biomedical research and clinical diagnostics. Here, we present a magnetic bead-based proximity extension assay that achieves subfemtomolar sensitivity of proteins with minimal requirement for complicated equipment and technical skills. Our method utilizes well-optimized assay conditions and the triple antigen recognition enabled by capture antibody-coated magnetic beads and a pair of detection antibody-oligo conjugates for superior quantification capability. Using three inflammatory cytokines, including IL-6, IL-8 and GM-CSF, as validation, our method showed orders-of-magnitude sensitivity improvement compared to conventional ELISA, homogeneous PEA and solid-phase PLA, and achieved limit of detections (LODs) close to digital ELISA. © 2022 MicroTAS 2022 - 26th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

关键词： Antibodies

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Performance Analysis of Ducted-Fan Modules with Axial Impeller

Performance Analysis of Ducted-Fan Modules with Axial Impell...

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2024 International Conference on Precision engineering and mechanical Manufacturing, PEMM 2024

作者： Shiau, Yau-Ren Fang, Jiunn Huang, Yuan-Chi Department of Industrial Engineering and Systems Management Feng Chia University Taichung407 Taiwan Department of Aerospace and Systems Engineering Feng Chia University Taichung407 Taiwan Ph.D. Program of Mechanical and Aeronautical Engineering Feng Chia University Taichung407 Taiwan

ISBN: (纸本)9781510683129

Impellers are extensively employed across various industrial sectors and in different industrial systems, such as ducted-fan modules. The configuration of ducted-fan modules can be optimized to achieve high impeller performance, safe and stable operation, and high operational efficiency. This study designed two ducted-fan modules with axial impellers composed of airfoil cascades by using the Fan Calculator software program to analyze their performance and efficiency. The study discovered that the module efficiency varied with the internal impeller diameter, external impeller diameter, and rotational speed. An increase in the outlet angle of the blade tip caused increases in the power generated by, pressure change produced in, and flow rate of the modules, thereby enhancing fan efficiency and module performance. The study makes two contributions. First, it constructed two ducted-fan modules with axial impellers by using the duct to isolate the blades, thus increasing the safety and stability of the fan. Second, it explored the performance and efficiency of impellers with airfoil cascades to enhance fan efficiency and optimize the design of a ducted-fan module. © 2024 SPIE.

关键词： Ducted fan engines

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Standardization of Pediatric Cardiovascular Anomaly Anatomy Reconstructions

Standardization of Pediatric Cardiovascular Anomaly Anatomy ...

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2024 Medical Technologies Congress, TIPTEKNO 2024

作者： Alzaeim, Mohamad Humam Köse, Kevser Banu Pişkin, Şenol Basha, Wael Shamsi Gungoren, Fatma Zeynep Şahin, Ömer Faruk Femilda Josephin, J.S. Istanbul Medipol University Istanbul Turkey Biomedical Engineering department Istanbul Medipol University Istanbul Turkey Mechanical Engineering department İstinye University Istanbul Turkey Department of Radiology The Anadolu Medical Center Istanbul Turkey Molecula Biotechnology İstinye University Istanbul Turkey Computer Engineering Department İstinye University Istanbul Turkey

ISBN: (纸本)9798331529819

In the realm of congenital cardiovascular diseases, the understanding, modeling, and visualization of such diseases as they develop during the neonatal growth period continues to be a challenge despite the current technological advancements. Moreover, such diseases as vascular abnormalities pose further risks due to their implications for a proper standardized method for three-dimensional visualization for planning and growth monitoring. This study uses imaging and computational techniques to create multiple models that relate the diseases as they progress from the initial phase toward the late growth stage for newborns’ cardiovascular systems. Three-dimensional modeling of patients would be created from patient-specific scans coupled with image processing algorithms. This study also aims to use the working principles of already existing tools for diagnosing aortic & brain aneurysms and pulmonary hypertension for cardiovascular development. To comprehensively understand such diseases and how their physical morphology may be standardized. © 2024 IEEE.

关键词： Lung cancer

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EXPERIMENTAL EVALUATION ON THE EFFECT OF BIOmechanical FEATURES ON HUMAN BODY STIFFNESS 29

EXPERIMENTAL EVALUATION ON THE EFFECT OF BIOMECHANICAL FEATU...

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29th International Congress on Sound and Vibration, ICSV 2023

作者： Dinan, Parisa Hejazi Aziminia, Mahdi Emamian, Amirhossein Dehkordi, Parvaneh Shamsipour Sani, Zahra Rajabpour Faculty of Sport Sciences Alzahra University Tehran Iran School of Mechanical Engineering Sharif University of Technology Tehran Iran Department of Biomedical Engineering Sahand University Tabriz Iran

ISBN: (纸本)9788011034238

Human body stiffness plays an important role in whole body vibration analysis and also athletic performance and motor control. In recent years researchers focused on calculating lower-extremity stiffness for better monitoring vibration of whole body and also improving athletic performance and decreasing their injuries. Lower limb power, stiffness and muscular strength are often obtained from maximal vertical jump which is an important motor skill in physical activities. The stiffness can be calculated by vertical reaction force divided by vertical movement of mass centre. During running and jumping, legs can be modelled as a spring with the body mass sitting at the top. With regard to the importance of human response to vibration, this study is aimed to investigate the effect of biomechanical parameters of human body by analysing the kinetic variables and vertical stiffness of individuals. It is expected that the biomechanical parameters representing the kinetic variables of human body, could affect body response to whole body vibration and shocks. The assessment is based on response of athlete participants with different dimensionless anthropometric parameters such as the ratio of body fat mass to body mass, skeletal muscle mass to body mass, upper limb mass to body mass and lower limb mass to body mass. The data was obtained by counter movements of athletics in vertical jump experiments. The body composition and ground reaction force were shown to be related to vertical jump performance. © 2023 Proceedings of the International Congress on Sound and Vibration. All rights reserved.

关键词： Stiffness

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The influence of scapular orientation on the medial scapula corpus angle in snapping scapula syndrome

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JSES International 2025年第1期9卷 70-78页

作者： Percin, Brittany Featherall, Joseph Tashjian, Robert Z. Chalmers, Peter N. Joyce, Christopher D. Mortensen, Alexander J. Henninger, Heath B. Department of Orthopaedics University of Utah Salt Lake City UT United States School of Medicine University of California San Diego CA United States Department of Biomedical Engineering University of Utah Salt Lake City UT United States Department of Mechanical Engineering University of Utah Salt Lake City UT United States

Background: Snapping scapula syndrome (SSS) can result in crepitus and painful scapulae during motion and may be treated with bursectomy and/or superomedial angle resection. The medial scapula corpus angle (MSCA) measures blade curvature on a transverse plane below the suprascapular fossa and may indicate SSS, yet a large overlapping range in MSCA exists between patients with and without SSS. This study quantified the effects of 3-dimensional scapula orientation in the imaging field, and the resulting variability in scapula type and MSCA. Methods: Computed tomography scans from 10 healthy controls (non-SSS) and 8 SSS patients were used to create 3-dimensional scapula models. The scapula type and MSCA were measured on a controlled reference imaging plane, and ones translated and rotated below the supraspinatus fossa to create 19 planes simulating variations due to scapulothoracic orientation. Planes translated and rotated above the reference plane also generated 13 modified MSCA planes to test areas modified during surgical resection. Statistical analyses compared the scapula type and MSCA between the reference and alternate planes within groups. Results: Scapula type commonly changed and the MSCA varied up to 104° within a subject depending on the imaging plane, regardless of location below or above the reference plane. Numerous statistical differences were detected in MSCA between the reference plane and those translated and rotated below that plane in both non-SSS and SSS groups. Planes translated above the reference plane showed consistent statistical differences in MSCA to the reference plane, but only in the SSS group. Discussion: Although scapula type and MSCA were previously shown to differentiate patients, the effect of viewing perspective was not considered. Differences in scapula orientation relative to the imaging plane dramatically varied the scapula type and MSCA, far exceeding differences between groups described previously. Herein, scapula type and MS

关键词： 3D model Anatomy Study Computed tomography Imaging Medial scapula corpus angle Snapping scapula Viewing perspective Volumetric imaging

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Ultrasound image tracking using deep learning mask R-CNN in radiotherapy 23

Ultrasound image tracking using deep learning mask R-CNN in ...

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23rd International Conference of the European Society for Precision engineering and Nanotechnology, EUSPEN 2023

作者： Wang, Yu-Chia Cheng, Sen-Ting Liao, Ai-Ho Chuang, Ho-Chiao Department of Mechanical Engineering National Taipei University of Technology Taipei106344 Taiwan Graduate Institute of Biomedical Engineering National Taiwan Univerity of Science and Tchnology Taipei106355 Taiwan

ISBN: (纸本)9781998999132

In this study, 1800 ultrasonic images of human diaphragm were captured for training Mask R-CNN. Then, an ultrasonic image tracking algorithm (UITA) was developed to calculate the mean pixel coordinates of the diaphragm detected by Mask RCNN. The coordinates are further input to the Respiratory Motion Compensation System (RMCS) for compensation of breathing introduced motion. The tracking similarity verification experiment of M-UITA was performed. In the experiment, the correlation between the input signal and the signal tracked by M-UITA was compared, and the computed average discrete Fréchet distance was less than 4mm. A respiratory displacement compensation experiment was performed. The proposed method was compared to the UITA by calculating the compensation rates of three different respiratory signals. The experimental results showed that the compensation rate of the proposed method was at most 6.22% higher than that of UITA. This study proposed a novel method, M-UITA, which not only has a high tracking precision and a great tracking stability in the process of tracking diaphragm movement, but also has the advantage of no additional manual adjustment for parameters during operations. © 2023 Euspen Headquarters.

关键词： Motion compensation

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Implementation of IoT in production and manufacturing: An Industry 4.0 approach

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Materials Today: Proceedings 2022年 51卷 2427-2430页

作者： Saravanan, G. Parkhe, Shailesh S. Thakar, Chetan M. Kulkarni, Vaibhav V. Mishra, Hari Govind Gulothungan, G. Assistant Professor Department of Electrical and Electronics Engineering KPR Institute of Engineering and Technology Coimbatore India India Assistant Professor Mechanical Engineering Department Government College of Engineering Karad India India Associate Professor School of Business Shri Mata Vaishno Devi University India Assistant Professor Department of Biomedical Engineering Saveetha School of Engineering India

Buzzwords like Industry 4.0, the Internet of Things (IoT) and cyber physical systems have been developed recently to describe future industrial systems (CPS). While Industry 4.0 and similar technologies have many potential manufacturing advantages, the great majority of these innovations are established for and/or by large companies. But there is a failure to understand about how these technologies are implemented in businesses today. As a result, we want to learn more about the patterns of adoption of Industry 4.0 technologies in manufacturing and production companies. In this paper, we explore if production organisations can be organised based on Industry 4.0 adoption trends and how these patterns allow the definition of certain industrial 4.0 technology configurations. Such study helps us to understand what is necessary for the proper adoption in manufacturing and production enterprises of such technologies. We present a study of the analysis of manufacturing and manufacturing businesses in the machines and appliances industry. © 2021

关键词： Industry 4.0

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Stress-test a deep learning brain injury model using idealized impact kinematic profiles

Stress-test a deep learning brain injury model using idealiz...

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2022 International Research Council on the Biomechanics of Injury, IRCOBI 2022

作者： Lin, Nan Wu, Shaoju Ji, Songbai The Department of Biomedical Engineering Worcester Polytechnic Institute United States Department of Mechanical Engineering Worcester Polytechnic Institute United States

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Intelligent Solar Tracking System with Fuzzy Logic Control and IoT Integration 2

Intelligent Solar Tracking System with Fuzzy Logic Control a...

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2nd International Conference on Computer, Communication and Control, IC4 2024

作者： Rathika, N. Raman, Ramakrishnan Sutaria, Kamal Kishorbhai Dattatreya, Shirish Reddy, Ramireddy Sasidhar Muthulekshmi, M. Mahendra Institute of Technology Department of Electrical and Electronics Engineering Tamil Nadu Tiruchengode India Maharashtra Pune India Parul Institute of Engineering and Technology Parul University Faculty of Engineering and Technology Gujarat Vadodara India Maharashtra Pune India Mother Theresa Institute of Engineering and Technology Department of Mechanical Engineering Andhra Pradesh Palamaner India Saveetha Institute of Medical and Technical Sciences Saveetha University Saveetha School of Engineering Department of Biomedical Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350387933

The amount of UltraViolet (UV) rays and the surrounding temperature have a general effect on the amount of energy produced by PV panels. In the case of optimal electrical power generation, PVs are angled perpendicular to the sun. A smart Solar Panel Tracking System (SPTS) that uses Fuzzy Logic Control (FLC) and the Internet of Things (IoT) is proposed to increase solar panels' output. FLCs analyze data to determine the best possible orientation for the solar systems. The goal is to position the solar panels such that they get the most sunlight available while receiving the least amount of shade possible and experiencing no obstacles. The system incorporates the IoTs that allow for easier communication and control. The IoT module allows for the collection of data from a wide range of sensors, including devices that monitor light, temperature, and weather. The FLC receives this data and continually evaluates the environmental parameters to determine the optimal panel position. © 2024 IEEE.

关键词： Solar panels

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Development and biomechanical testing of full-scale human brain simulant

Journal of Engineering Research

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Journal of engineering Research 2025年第2期13卷 1223-1229页

作者： Promasree Majumdar Gurpreet Singh Arnab Chanda Department of Mechanical Engineering Indian Institute of Technology (IIT) Delhi India Centre for Biomedical Engineering Indian Institute of Technology (IIT) Delhi India Department of Biomedical Engineering All India Institute of Medical Sciences (AIIMS) Delhi India

In 21st century, traumatic Brain Injuries (TBI) due to blast exposure or head impacts in contact sports, accidents are one of most critical research area. But the area of TBI is poorly investigated due to the limitation of brain tissue availability and related ethical/biosafety issues. In general, the brain tissue is difficult to acquire after the autopsy and test in laboratorial settings. In this work, a full-size human brain simulant was developed using a biofidelic multi-part polymeric material poured into a negative mould which was designed and 3D printed. Based on the number of mild to moderate traumatic brain injury cases reported in the literature, three TBI prominent locations were chosen. The prefrontal cortex of frontal lobe, top portion of parietal lobe and temporal lobe of right hemisphere of the brain were the locations where the experiments were conducted under compressive loading conditions. The load versus displacement data was recorded and converted to the stress-strain plots to analyse the result responses and its implications. Two constitutive hyperelastic models (Yeoh model and Neo-Hookean) were selected for curve fitting and characterizing the non-linear mechanical behavior of the full-scale brain model. Such precisely developed and characterized full-scale brain simulant has not been reported in the literature to date and would be beneficial for simulating a wide range of traumatic brain injuries and surgical training.

关键词： Brain tissue Traumatic brain injury mechanical properties Hyperelasticity

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