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INVESTIGATION OF FLEXURAL BEHAVIOUR OF STAINLESS STEEL CHANNEL SECTIONS

ce/papers 2024年第1-2期7卷 240-249页

作者： de Lima, Cláucio Gonçalves Rodrigues, Monique Cordeiro Pereira, e Fernanda Lins Gonçalves PGECIV – Civil Engineering Post-Graduate Program UERJ – State University of Rio de Janeiro Brazil Structural Engineering Department UERJ – State University of Rio de Janeiro Brazil

In this paper, the design of austenitic stainless steel channel sections subjected to minor axis bending, specifically with tension in the web ("u" orientation) is analyzed. The values of moment resistance are predicted using Eurocode 3 criteria and the Continuous Strength Method (CSM), which are then compared with numerical models to assess effectiveness. The modeling is performed through ANSYS and calibrated with literature tests. It was found that Eurocode presents a considerable disparity in results, as well as an overly cautious response (on average, half the numerical load). The CSM reflects the performance more accurately but still with a certain level of conservatism (on average, around 35% lower). © 2024 Ernst & Sohn GmbH.

关键词： Codes (standards)

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Real Time Chest X-Ray Interpretation Applying Vision Transformer for Tuberculosis Detection

Real Time Chest X-Ray Interpretation Applying Vision Transfo...

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2024 International Conference on Computer engineering, Network and Intelligent Multimedia, CENIM 2024

作者： Irhamsyah, Muhammad Roslidar Yunidar Al Lail Qadrillah, M. Nasaruddin Arnia, Fitri Munadi, Khairul Universitas Syiah Kuala Post Graduate Program in Engineering Banda Aceh2311 Indonesia Faculty of Engineering Department of Electrical and Computer Engineering 2311 Indonesia

ISBN: (纸本)9798350368802

Tuberculosis (TB) is an infectious disease that can attack the lungs and other organs. In the diagnosis of TB, the interpretation of X-ray radiological images requires special skills from medical specialists. However, the lack of experience of medical personnel and focus on X-ray examinations can be a challenge for radiologists because it has the potential to cause diagnostic errors in image interpretation. Therefore, we proposed a web-based application of real-time chest X-ray interpreter by integrating the deep learning model of Vision Transformer (ViT) to interpret chest X-ray images. The inference model was trained and tested on 652 normal and 652 tuberculosis X-ray images. The data preprocessing of Contrast Adaptive Histogram Equalization (CLAHE) was implemented to increase chest X-ray image contrast as well as inference model performance. The proposed real time system can inteprete the tested chest x-ray images with an accuracy of 95% and with simulation duration time of 4.7 seconds. © 2024 IEEE.

关键词： Diagnosis

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A Novel SERS Substrate Containing Silver Nanoparticle-Deposited Photoresist Microcone Array for Sensitive Biosensing

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IEEE Sensors Journal 2024年第2期24卷 1398-1404页

作者： Lin, Ying-Ting Wang, Sheng-Hsiang Tseng, Yu-Hsin Lin, Ze-Cheng Chen, Jyun-Tu Chang, Cheng-Chung Wang, Gou-Jen National Chung Hsing University Program in Tissue Engineering and Regenerative Medicine Taichung40227 Taiwan National Chung Hsing University Department of Mechanical Engineering Taichung40227 Taiwan Graduate Institute of Biomedical Engineering National Chung Hsing University Taichung40227 Taiwan

In this study, we developed a novel surface-enhanced Raman scattering (SERS) substrate formed by depositing silver nanoparticles (AgNPs) on a silver thin film-coated photoresist (PR) microcone array. The semiconductor photolithographic process was adopted for fabricating the PR microcone array. The hotspot enhancement effect of the SERS substrates was optimized by adjusting the concentration of the trisodium citrate, which was used as a reducing agent and a stabilizing agent for the synthesis of AgNPs. Experimental results showed that the proposed SERS substrate could detect the indicating peaks of Rhodamine 6G (R6G) at a relatively low concentration of 10-12 M. A standard detection curve for HbA1c detection with a linear detection range of 5000-20000 ng/mL with good linearity of 0.994 and a limit of detection (LOD) of 850.2 ng/mL was further established by adding HbA1c agent to artificial blood to simulate a real environmental condition. Recovery rate detection experiments confirmed the reproducibility of the established standard detection curve. © 2001-2012 IEEE.

关键词： Silver nanoparticles

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BLOCKCHAIN TECHNOLOGY IMPLEMENTATION FOR HEALTHCARE PRIVACY DATA SYSTEMS IN THE UAE 50

BLOCKCHAIN TECHNOLOGY IMPLEMENTATION FOR HEALTHCARE PRIVACY ...

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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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Downsizing and soft X-ray tomography for cellular uptake of interpenetrated metal-organic frameworks

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Journal of Materials Chemistry B 2024年第25期12卷 6079-6090页

作者： Yu, Yu-Sheng Liang, Yung-Yi Hsieh, Chia-Chun Lin, Zi-Jing Cheng, Po-Hsiu Cheng, Chih-Chan Chen, Shu-Ping Lai, Lee-Jene Wu, Kevin C.-W. National Taiwan University Department of Chemical Engineering Taipei Taiwan National Health Research Institute Institute of Biomedical Engineering and Nanomedicine Miaoli Taiwan Hsinchu Taiwan International Graduate Program of Molecular Science and Technology Taiwan International Graduate Program Academia Sinica Taipei Taiwan National Taiwan University Taipei Taiwan

Metal-organic frameworks (MOFs) are porous materials with potential in biomedical applications such as sensing, drug delivery, and radiosensitization. However, how to tune the properties of the MOFs for such applications remains challenging. Herein, we synthesized two MOFs, Zr-PEB and Hf-PEB. Zr-PEB can be classified as porous interpenetrated zirconium frameworks (PIZOFs) and Hf-PEB is its analogue. We controlled their sizes while maintaining their crystal structure by employing a coordination modulation strategy. They were designed to serve as sensitizer for X-ray therapy and as potential drug carriers. Comprehensive characterizations of the MOFs' properties have been conducted, and the in vitro biological impacts have been studied. Since viability assay showed that Hf-PEB was more biocompatible compared to Zr-PEB, the cellular uptake of Hf-PEB by cells was evaluated using both fluorescence microscopy and soft X-ray tomography (SXT), and the three-dimensional structure of Hf-PEB in cells was observed. The results revealed the potential of Zr-PEB and Hf-PEB as nanomaterials for biomedical applications and demonstrated that SXT is an effective tool to assist the development of such materials. © 2024 The Royal Society of Chemistry.

关键词： Organometallics

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CHITOSAN-COLLAGEN COMPOSITE SCAFFOLDS FOR GROWTH DIRECTION GUIDANCE OF PC12 AXONS

CHITOSAN-COLLAGEN COMPOSITE SCAFFOLDS FOR GROWTH DIRECTION G...

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ASME 2024 International Design engineering Technical Conferences and Computers and Information in engineering Conference, IDETC-CIE 2024

作者： Tsai, Po-Yu Lin, Ying-Ting Wang, Gou-Jen Graduate Institute of Biomedical Engineering National Chung-Hsing University Taichung Taiwan PhD Program in Tissue Engineering and Regenerative Medicine National Chung-Hsing University Taichung Taiwan Department of Mechanical Engineering Graduate Institute of Biomedical Engineering National Chung-Hsing University Taichung Taiwan

ISBN: (纸本)9780791888421

In this study, nerve conduits of chitosan and collagen composites with biocompatibility and biodegradability were fabricated. The effects of material composition and surface morphology on the axonal growth and directionality of rat epinephric pheochromocytoma PC12 were investigated. The cells were separated by a PDMS structure to simulate nerve injury, and the growth of axons of PC12 cells was observed under the separation of large gaps. At the same time, mitochondria extracted from osteosarcoma cybrid cells (C2-GFP) were added to the culture to investigate the effect of healthy mitochondria on axon differentiation and growth. The experimental results showed that the chitosan-collagen composite film can promote the growth of PC12 axons more effectively than the pure chitosan film. Cell culture results at different groove widths also showed that smaller grooves resulted in more axon numbers and longer axon lengths. Nerve injury simulation experiments showed that the nerve repair could be almost completed after 12 days of culture. Copyright © 2024 by ASME.

关键词： Mitochondria

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Feasibility Study of Finger Interface for Miniature Surgical Instruments 1

Feasibility Study of Finger Interface for Miniature Surgical...

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1st IEEE Conference on Telepresence, Telepresence 2024

作者： Cha, Serin Kim, Sebin Ryu, Seok Chang Ewha Womans University Graduate Program in Smart Factory BioRobotics Laboratory Department of Mechanical and Biomedical Engineering Seoul03760 Korea Republic of Ewha Womans University BioRobotics Laboratory Department of Mechanical and Biomedical Engineering Korea Republic of

ISBN: (纸本)9798331528249

This paper presents a study on the design of a finger interface to improve the teleoperation of a miniaturized surgical instrument with a bendable distal section. A unique design principle employing the kinematic similarity between the human motion and the follower robot has been proposed for such instruments, which may result in embodied teleoperation, enhancing the overall telepresence experience. According to the principle, a design for an index finger interface was proposed, consisting of a sub-unit measuring finger motion and a handle. When the interface is connected to a robotic platform, it can control the entire tool motion in two separate ways: distal bending by the sub-unit and overall tool motion by the handle. A human subject test was conducted for trajectory-following tasks in a virtual environment, and their performance score was quantified for analysis of the learning curve. Based on the satisfactory learning rate of 75.78% for all nine subjects, the proposed finger interface could be a promising interface for a miniature surgical instrument with a long bendable section at the distal end. © 2024 IEEE.

关键词： Machine design

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Identification of spatial potential flood-prone area using topographic wetness index under the digital elevation model of Kr. Keureuto watershed, North Aceh. 5

Identification of spatial potential flood-prone area using t...

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5th Aceh International Symposium on Civil engineering 2024, AISCE 2024

作者： Rizalihadi, Maimun Meilianda, Ella Yulianur, Alfiansyah Away, Yuwaldi Doctoral Program Post Graduate Program Syiah Kuala University Banda Aceh Indonesia Civil Engineering Department Syiah Kuala University Banda Aceh Indonesia Electro and Computer Engineering Department Syiah Kuala University Banda Aceh Indonesia

Floods are the most frequent disaster events in Lhoksukon, resulting in significant losses and community and environmental damage. Floods are generated by several factors, consisting of hydrometeorological, topographical, geological, soil, and human activities. Topography is a key controlling factor in flood initiation. Topographic analysis for detecting flood susceptibility, especially flood inundation, can be conducted using the TWI. The research aims to identify the potential spatial distribution of flood-prone areas based on TWI and assess the model accuracy using the ROC-AUC method. A case study was conducted in the Kr. Keureuto watershed. of North Aceh. TWI analysis is based on the topography of an area denoted by extracting DEM using GIS to create slope, flow direction, and flow accumulation. Higher TWI values are associated with higher flood susceptibility. The results show that the value of TWI is approximately 1.571-27.147, showing that more than 20% of area are potentially flood inundations with high and very hight rating of flood susceptibility. Furthermore, based on the analysis using field observation flood is obtained the AUC value of 71,60%. It can be concluded that the spatial model of flood-prone using TWI is good and effective for determining flood prone region in the Kr. Keureuto River basin © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Watersheds

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Neural Networks and Explainable Artificial Intelligence for Breast Cancer Prediction and Classification 16

Neural Networks and Explainable Artificial Intelligence for ...

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16th International Conference on ENTERprise Information Systems, CENTERIS 2024 - 12th International Conference on Project MANagement, ProjMAN 2024 - 14th International Conference on Health and Social Care Information Systems and Technologies, HCist 2024

作者： Yahata, Erika Santos, Pablo Deoclecia Dos De Souza Pires, Maria Marlene Suyama, Ricardo Simoes, Priscyla Waleska Graduate Program in Information Engineering Federal University of ABC SP Santo André Brazil Graduate Program in Biomedical Engineering Federal University of ABC São Bernardo Do Campo Brazil Pediatrics Department Federal University of Santa Catarina Santa Catarina Brazil

Solutions based on Artificial Intelligence techniques have been proposed in the healthcare sector, however the lack of understanding of the results has been a cause for concern and one of the main barriers to their effective use. To fill the gap in understanding these models considered black boxes, the Explainable Artificial Intelligence was proposed to explain the relationship between input data and the prediction results made by the Artificial Intelligence models. In this study, we present the use of explainability techniques for a black box machine learning model in breast cancer classification. Breast cancer is the type of cancer that causes the most deaths among women in the world and early diagnosis is essential to increase the chances of survival. The study evaluated the explainability of breast tumor predictions based on the Multilayer Perceptron artificial neural networks algorithm, considering a sample that contained data from 164 female patients undergoing Core Biopsy in the southern region of Brazil. The SHAP, LIME, PDP and ICE methods were used for the global and local explainability of the predictions. The results showed that in the global assessment, the BI-RADS® 5 ultrasound and mammography attributes were considered the most important for predicting the malignant tumor. Nodule size greater than 2 cm, presence of a family history and palpable nodule were also considered important for the prediction. In the local evaluation, it was found that the model correctly classified the tumors considering different characteristics of the patients. Through the results presented, the methods of explicability show evidence that the predictive model for breast cancer can be interpreted and understood, overcoming the barrier of lack understanding of the results of a black box model. © 2025 Elsevier B.V.. All rights reserved.

关键词： Prediction models

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Compact Model Build Upon Dynamic Weighting Artificial Neural Network Approach for Complementary Field Effect Transistors

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IEEE Transactions on Electron Devices 2024年第1期71卷 246-253页

作者： Butola, Rajat Li, Yiming Kola, Sekhar Reddy National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program Hsinchu300093 Taiwan Institute of Pioneer Semiconductor Innovation The Institute of Artificial Intelligence Innovation National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program The Institute of Communications Engineering the Institute of Biomedical Engineering Department of Electronics and Electrical Engineering Hsinchu300093 Taiwan

In this work, a dynamic weighting-artificial neural network (DW-ANN) methodology is presented for quick and automated compact model (CM) generation. It takes advantage of both TCAD simulations for high accuracy and SPICE simulations for cost-effectiveness. This methodology is developed for gate-all-around (GAA) silicon (Si) nanosheet (NS) complementary field effect transistor (CFET), a potential candidate for future CMOS technology due to its innate properties. The critical process variation (PV) sources that severely degrade the CFET performance are estimated using DW-ANN. It reduces the computation cost and predicts the effects of PV sources with less than 1% error. Furthermore, a compact DW-ANN-based Verilog-A model has been developed that captures the dc as well as transient behavior accurately for circuit-level analysis. CFET-based circuits such as inverter, 6T-static random access memory (SRAM), and ring oscillator (RO) are characterized and implemented using DW-ANN-based CM. The overall average error of the model is reported as less than 2%. Therefore, the proposed device and circuit modeling approach provides a feasible solution for the rapid compact modeling of new emerging devices with good convergence and high accuracy. © 1963-2012 IEEE.

关键词： Neural networks

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