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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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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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A comparison of deep neural network models for cluster cancer patients through somatic point mutations

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Journal of Ambient Intelligence and Humanized Computing 2023年第8期14卷 10883-10898页

作者： Parhami, Pouria Fateh, Mansoor Rezvani, Mohsen Alinejad-Rokny, Hamid Faculty of Computer Engineering Shahrood University of Technology Shahrood Iran The Graduate School of Biomedical Engineering UNSW SYDNEY SydneyNSW2052 Australia

It is now well-known that genetic mutations contribute to development of tumors, in which at least 15% of cancer patients experience a causative genetic abnormality including De Novo somatic point mutations. This highlights the importance of identifying responsible mutations and the associated biomarkers (e.g., genes) for early detection in high-risk cancer patients. The next-generation sequencing technologies have provided an excellent opportunity for researchers to study associations between De Novo somatic mutations and cancer progression by identifying cancer subtypes and subtype-specific biomarkers. Simple linear classification models have been used for somatic point mutation-based cancer classification (SMCC);however, because of cancer genetic heterogeneity (ranging from 50 to 80%), high data sparsity, and the small number of cancer samples, the simple linear classifiers resulted in poor cancer subtypes classification. In this study, we have evaluated three advanced deep neural network-based classifiers to find and optimized the best model for cancer subtyping. To address the above-mentioned complexity, we have used pre-processing clustered gene filtering (CGF) and indexed sparsity reduction (ISR), regularization methods, a Global-Max-Pooling layer, and an embedding layer. We have evaluated and optimized the three deep learning models CNN, LSTM, and a hybrid model of CNN + LSTM on publicly available TCGA-DeepGene dataset, a re-formulated subset of The Cancer Genome Atlas (TCGA) dataset and tested the performance measurement of these models is 10-cross-validation accuracy. Evaluating all the three models using a same criterion on the test dataset revealed that the CNN, LSTM, and CNN + LSTM have 66.45% accuracy, 40.89% accuracy, and 41.20% accuracy in somatic point mutation-based cancer classification. Based on our results, we propose the CNN model for further experiments on cancer subtyping based on DNA mutations. © 2022, The Author(s), under exclusive licence

关键词： Deep neural networks

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Development of Hair Follicle Dermal Papilla Spheroids Encapsulated in Alginate Hydrogel with Extracellular Matrix Protein 16

Development of Hair Follicle Dermal Papilla Spheroids Encaps...

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16th biomedical engineering International Conference, BMEiCON 2024

作者： Srinualchai, Phasin Khorporn, Thanchanok Sriboonaied, Patsawee Thongnuek, Peerapat Chulalongkorn University Biomedical Engineering Program Faculty of Engineering Bangkok Thailand Research Unit Faculty of Engineering Bangkok Thailand

ISBN: (纸本)9798331505431

Hair follicles (HF) are important anatomical structures that are responsible for maintenance of the hair cycle. However, hair disease can affect the hair follicle directly with the modern treatment still riddled with side effects due to lack of full understanding of hair nature. The study aimed to investigate the effect of alginate hydrogel with extracellular matrix (ECM) protein encapsulation on activity of dermal papilla (DP) spheroids. The DP cells were aggregated to mimic its native spherical structure and introduced into alginate solution mixed with ECM. The mixture was then crosslinked with calcium chloride to form hydrogel. The encapsulation elevated alkaline phosphatase (ALP) activity, which is a DP molecular marker. This work demonstrates that DP encapsulation in alginate with ECM can manipulate DP spheroid activity. © 2024 IEEE.

关键词： Phosphatases

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Increased deformations are dispensable for encapsulated cell mechanoresponse in engineered bone analogs mimicking aging bone marrow

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Mechanobiology in Medicine 2025年第1期3卷 57-67页

作者： Alexander M.Regner Maximilien DeLeon Kalin D.Gibbons Sean Howard Derek Q.Nesbitt Seyedeh F.Darghiasi Anamaria G.Zavala Trevor J.Lujan Clare K.Fitzpatrick Mary C.Farach-Carson Danielle Wu Gunes Uzer Mechanical and Biomedical Engineering Department Boise State UniversityUSA Department of Diagnostic and Biomedical Sciences UTHealth Houston School of DentistryUSA Department of Bioengineering Rice UniversityUSA Department of Biosciences Rice UniversityUSA Biomedical Engineering Program Boise State UniversityUSA

Aged individuals and astronauts experience bone loss despite rigorous physical *** mechanoresponse is in-part regulated by mesenchymal stem cells(MSCs)that respond to mechanical *** delivery of low intensity vibration(LIV)recovers MSC proliferation in senescence and simulated microgravity models,indicating that age-related reductions in mechanical signal delivery within bone marrow may contribute to declining bone *** answer this question,we developed a 3D bone marrow analog that controls trabecular geometry,marrow mechanics and external *** finite element(FE)models were developed to quantify strain environment within hydrogels during *** marrow analogs with gyroid-based trabeculae of scaffold volume fractions(SV/TV)corresponding to adult(25%)and aged(13%)mice were printed using polylactic acid(PLA).MSCs encapsulated in migration-permissive hydrogels within printed trabeculae showed robust cell populations on both PLA surface and hydrogel within a *** 14 days of LIV treatment(1 g,100 Hz,1 h/day),cell proliferation,type-I collagen(Collagen-I)and filamentous actin(F-actin)were quantified for the cells in the hydrogel *** LIV increased all measured outcomes,FE models predicted higher von Mises strains for the 13%SV/TV groups(0.2%)when compared to the 25%SV/TV group(0.1%).While LIV increased collagen-I volume 34%more in 13%SV/TV groups when compared to 25%SV/TV groups,collagen-I and F-actin measures remained lower in the 13%SV/TV groups when compared to 25%SV/TV counterparts,indicating that both LIV-induced strains and scaffold volume fraction(*** scaffold surface)affect cell behavior in the hydrogel ***,bone marrow analogs offer a robust and repeatable platform to study bone mechanobiology.

关键词： Mechanical signals Low-intensity vibration Mesenchymal stem cells 3D printing Mechanical modeling Tissue modeling

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FOWLP-Based Flexible Hybrid Electronics II: Heterogeneous Integration Technology of Micro-LEDs on 3D-IC for Smart Skin Display 12

FOWLP-Based Flexible Hybrid Electronics II: Heterogeneous In...

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12th IEEE CPMT Symposium Japan, ICSJ 2023

作者： Shen, Jiayi Liu, Chang Kino, Hisashi Tanaka, Tetsu Fukushima, Takafumi Graduate School of Engineering Tohoku University Dept. Mechanical System Engineering Sendai Japan Graduate School of Biomedical Engineering Tohoku University Dept. of Biomedical Engineering Sendai Japan

ISBN: (纸本)9798350325157

This paper describes heterogeneous integration technologies of micro-LEDs on 3D-IC dielets for Smart Skin Display as a healthcare flexible hybrid electronics (FHE) device to be fabricated based on die-first fan-out wafer-level packaging (FOWLP). Die-level Through-Silicon Via (TSV) formation is demonstrated by spray-coating photolithography and seed-layer deposition with a standard magnetron sputtering system. In addition, SAP (Semi-Additive Plating process) bonding is also demonstrated at room temperature to interconnect the Cu-TSV and Au electrodes on 0.1-mm3 cubed blue micro-LEDs. This process successfully stacks the micro-LEDs onto the 3D-IC dielet, enabling them to be driven through electroplated Cu pillars. The yield of SAP bonding is enhanced up to over 90% by optimizing the processes using room-temperature OER (ozone-ethylene-radical)-CVD SiO2 and excessive electroplated Cu growth control techniques. © 2023 IEEE.

关键词： Room temperature

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Techno-Environmental Assessment of Biodiesel Production from Acid Oil via One-Step and Two-Step Esterification

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ACS Omega 2025年第21期10卷 21280-21291页

作者： Myint, Ni Ni Jaruensri, Kongpetch Sakulshah, Netipon Thanapimmetha, Anusith Saisriyoot, Maythee Chiarasumran, Nutchapon Wang, Hui-Min David Srinophakun, Penjit Department of Chemical Engineering Faculty of Engineering Kasetsart University Bangkok 10900 Thailand Graduate Institute of Biomedical Engineering National Chung Hsing University Taichung 402 Taiwan

This study aims to evaluate the techno-environmental impacts of biodiesel production from acid oil using a one-step acid catalyst and a two-step immobilized enzyme and acid catalyst esterification. Acid oil was obtained by purifying crude glycerol with pure glycerol and salt as by-products. The experiment was performed to optimize the conversion of the acid oil to biodiesel. The one-step process involves 4% sulfuric acid, a methanol-to-oil molar ratio of 26:1, and a reaction time of 3.4 h. The two-step esterification comprised two stages: the first stage employed immobilized lipase on chitosan. The optimal conditions of the first stage were a 5:1 methanol-to-oil molar ratio, 37 wt % enzyme loading, and a reaction time of 17 h. The second stage of the two-step process involved 3% sulfuric acid with a methanol-to-oil molar ratio of 15:1 for 4 h. Then, a techno-environmental assessment was performed to compare the midpoint impacts of the one-step and two-step esterification. The study generated 7 cases to investigate the significant environmental effects of glycerol (case 1), particularly on global warming potential. It examined the impact of different electricity sources, natural gas (cases 2, 3, and 6) and hydropower (cases 4, 5, and 7), on biodiesel production. Comparing SC-1 (one-step esterification with an acid catalyst) and SC-2 (two-step esterification with an enzyme and acid catalyst), the study found that SC-2 was technically feasible due to lower energy consumption, less chemical use, and less wastewater, but SC-1 was more environmentally friendly. Due to enzyme preparation, SC-2 has had a higher impact on terrestrial ecotoxicity, human noncarcinogenic toxicity, global warming, and land use. The study suggested that biodiesel factories should purify crude glycerol to minimize its environmental effects and enhance biodiesel production’s ecological benefits and sustainability. © 2025 The Authors. Published by American Chemical Society.

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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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Minimally Invasive Needle for Local Glucose Tolerance Tests in Skin 46

Minimally Invasive Needle for Local Glucose Tolerance Tests ...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Tsuruoka, Noriko Haga, Yoichi Tohoku University Graduate School of Engineering Miyagi Sendi Japan Tohoku University Graduate School of Biomedical Engineering Miyagi Sendai Japan

ISBN: (纸本)9798350371499

Impaired insulin secretion and insulin resistance are abnormalities leading to the development of type 2 diabetes. Assessment of impaired insulin secretion and insulin resistance are critical to determining the type of diabetes and planning optimal management and preventive strategies in clinical practice. In order to measure insulin resistance, a minimally invasive needle with measurement and administration flow channels for local glucose tolerance tests was fabricated. This needle was inserted into the skin. Glucose was administrated through the flow channel, and glucose concentration in the skin was measured by microperfusion before and after administration. The needle's administration and glucose-collecting functions were evaluated in the skin of mice. © 2024 IEEE.

关键词： Needles

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Fabrication of versatile poly(xylitol sebacate)-co-poly(ethylene glycol) hydrogels through multifunctional crosslinkers and dynamic bonds for wound healing

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Acta Biomaterialia 2023年 170卷 344-359页

作者： Yeh, Ying-Yu Lin, Yi-Yun Wang, Ting-Teng Yeh, Yu-Jia Chiu, Ting-Hsiang Wang, Reuben Bai, Meng-Yi Yeh, Yi-Cheun Institute of Polymer Science and Engineering National Taiwan University Taipei Taiwan Institute of Biomedical Engineering National Taiwan University Taipei Taiwan Biomedical Engineering Program Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taipei Taiwan Institute of Food Safety and Health National Taiwan University Taipei Taiwan Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan Adjunct Appointment to the Department of Biomedical Engineering National Defense Medical Center Taipei Taiwan Program National Taiwan University Taipei Taiwan GIP-TRIAD Master's Degree in Agro-Biomedical Science National Taiwan University Taipei Taiwan

Poly(polyol sebacate) (PPS) polymer family has been recognized as promising biomaterials for biomedical applications with their characteristics of easy production, elasticity, biodegradation, and cytocompatibility. Poly(xylitol sebacate)-co-poly(ethylene glycol) (PXS-co-PEG) has been developed to fabricate PPS-based hydrogels;however, current PXS-co-PEG hydrogels presented limited properties and functions due to the limitations of the crosslinkers and crosslinking chemistry used in the hydrogel formation. Here, we fabricate a new type of PXS-co-PEG hydrogels through the use of multifunctional crosslinkers as well as dynamic bonds. In our design, polyethyleneimine-polydopamine (PEI-PDA) macromers are utilized to crosslink aldehyde-functionalized PXS-co-PEG (APP) through imine bonds and hydrogen bonds. PEI-PDA/APP hydrogels present multiple functional properties (e.g., fluorescent, elastomeric, biodegradable, self-healing, bioadhesive, antioxidant, and antibacterial behaviors). These properties of PEI-PDA/APP hydrogels can be fine-tuned by changing the PDA grafting degrees in the PEI-PDA crosslinkers. Most importantly, PEI-PDA/APP hydrogels are considered promising wound dressings to promote tissue remodeling and prevent bacterial infection in vivo. Taken together, PEI-PDA/APP hydrogels have been demonstrated as versatile biomaterials to provide multiple tailorable properties and desirable functions to expand the utility of PPS-based hydrogels for advanced biomedical applications. Statement of significance: Various strategies have been developed to fabricate poly(polyol sebacate) (PPS)-based hydrogels. However, current PPS-based hydrogels present limited properties and functions due to the limitations of the crosslinkers and crosslinking chemistry used in the hydrogel formation. This work describes that co-engineering crosslinkers and interfacial crosslinking is a promising approach to synthesizing a new type of poly(xylitol sebacate)-co-poly(ethylene glycol) (PXS-co-

关键词： Polyols

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