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2022 International Conference on Innovations in Science, engineering and Technology, ICISET 2022

作者： Costa, Joy James Toha Al Kadir, S.M. Dhrubo, Suchinto Roy Wahid, Md. Ferdous Ratan, Zubair Ahmed Roy, Dipta Technical University of Munich Faculty of Physics Munich Institute of Biomedical Engineering Munich Germany Khulna University of Engineering and Technology Department of Mechanical Engineering Khulna Bangladesh Hajee Mohammad Danesh Science and Technology University Department of Electrical and Electronic Engineering Dinajpur Bangladesh Khulna University of Engineering and Technology Department of Biomedical Engineering Khulna Bangladesh

ISBN: (纸本)9781665483971

Sound pollution is being a silent killer for the human universe, especially for the on-road vehicle drivers who spend a majority of their time in traffic buzz and under the continuous influence of loud horns. It has been proved that over 85 decibels (dB) sound level is detrimental to human health and can cause a variety of complications including cardiovascular diseases. Consequently, this effect reduces the life expectancy of vehicle drivers. Therefore, this research aims to propose a wearable hearing protection device for on-road vehicle drivers to mitigate the effect of sound pollution. The proposed device will reduce the noise from the sound wave and keep the amplitude of the sound wave at a safe level of hearing without losing any important information while entering the outer ears of the driver. The sound level data have been collected from five (05) different areas of Bangladesh namely Rangpur, Dhaka, Khulna, Sylhet, and Bagerhat for this research work. © 2022 IEEE.

关键词： Wearable technology

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Assessing the biomechanical properties of embryos using Reverberant Optical Coherence Elastography (Rev-OCE) 10

Assessing the biomechanical properties of embryos using Reve...

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Optical Elastography and Tissue Biomechanics X 2023

作者： Zevallos-Delgado, Christian Mekonnen, Taye Tolu Ambekar, Yogeshwari Zvietcovich, Fernando Singh, Manmohan Aglyamov, Salavat R. Larin, Kirill V. Department of Biomedical Engineering University of Houston 3517 Cullen Blvd. Room 2027 HoustonTX77204 United States Department of Engineering Pontificia Universidad Catolica del Peru Lima15088 Peru Department of Mechanical Engineering University of Houston HoustonTX77204 United States

ISBN: (纸本)9781510658677

Embryo development is driven by several substantial events that cause structural modifications during growth. The progressive changes in the embryo during this important period cause simultaneous alterations of its biomechanical properties. Understanding the structural modifications and changes in stiffness during embryo development is important for comprehending its growth and potentially detecting congenital diseases. The aim of this study is to map the biomechanical properties of embryos in 3D during development. Murine embryos at gestational day (GD) 11 were imaged using 3D Reverberant optical coherence elastography (Rev-OCE). The embryos were placed on a glass window, which was vibrated by an actuator at 1 kHz. In addition to providing the vibration, the glass window also enabled imaging in the common path configuration, which eliminated environmental noise and improved the displacement sensitivity of the system to sub-nanometer levels. The results showed the structural changes and the differences in stiffness in the embryo. The stiffness of the embryos from GD 11 showed stiffer areas along the developing spinal cord. Combining high-resolution OCT with elastography allowed us to understand the structural and biomechanical changes in the embryo during its development. Thus, this study provides important insights into embryo mechanical properties, which could serve as a potential biomarker for deficiencies in embryo development. Our future work is focused on imaging embryos at different stages as well as studying mutant models of congenital diseases, such as neural tube defects. © 2023 SPIE.

关键词： Biomechanics

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Antibiofilm and antithrombotic hydrogel coating based on superhydrophilic zwitterionic carboxymethyl chitosan for blood-contacting devices

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Bioactive Materials 2024年第4期34卷 112-124页

作者： Dong Uk Lee Mukhammad Kayumov Junghun Park Se Kye Park Yeongkwon Kang Yejin Ahn Woojin Kim Seung Hwa Yoo Jun-Kyu Park Bong-Gi Kim Yong Suk Oh In-Seok Jeong Dong Yun Choi Biomedical Manufacturing Technology Center Korea Institute of Industrial TechnologyYeongcheon38822Republic of Korea Department of Thoracic and Cardiovascular Surgery Chonnam National University Hospital and Medical SchoolGwangju61469Republic of Korea Research Institute of Advanced Materials Seoul National UniversitySeoul08826Republic of Korea Department of Organic and Nano System Engineering Konkuk UniversitySeoul05029Republic of Korea Department of Quantum System Engineering Jeonbuk National UniversityJeonju-si54896Republic of Korea IMT Inc. Gwangju61086Republic of Korea Department of Mechanical Engineering Changwon National UniversityChangwon51140Republic of Korea

Blood-contacting devices must be designed to minimize the risk of bloodstream-associated infections,thrombosis,and intimal lesions caused by surface ***,achieving effective prevention of both bloodstream-associated infections and thrombosis poses a challenge due to the conflicting nature of antibacterial and antithrombotic activities,specifically regarding electrostatic *** study introduced a novel biocompatible hydrogel of sodium alginate and zwitterionic carboxymethyl chitosan(ZW@CMC)with antibacterial and antithrombotic activities for use in *** ZW@CMC hydrogel demonstrates a superhydrophilic surface and good hygroscopic properties,which facilitate the formation of a stable hydration layer with low *** zwitterionic-functionalized CMC incorporates an additional negative sulfone group and increased negative charge density in the carboxyl *** augmentation enhances electrostatic repulsion and facilitates the formation of hydration *** leads to exceptional prevention of blood clotting factor adhesion and inhibition of biofilm ***,the ZW@CMC hydrogel exhibited biocompatibility with tests of in vitro cytotoxicity,hemolysis,and catheter ***,in vivo tests of antithrombotic and systemic inflammation models with catheterization indicated that ZW@CMC has significant advantages for practical applications in cardiovascular-related and sepsis *** study opens a new avenue for the development of chitosan-based multifunctional hydrogel for applications in blood-contacting devices.

关键词： Zwitterionic Hydrogel Blood-clotting Antimicrobial Sepsis

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Achieving high surface bioactivity and adhesion in Ti-6Al-4V alloy via anodic oxidation and electrophoretic deposition

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Ceramics International 2025年第16期51卷 22755-22765页

作者： Wu, Yu-Jie Wang, Chi-Yun Mana-ay, Haidee Tu, Chi-Shun Lai, Po-Liang Chen, Pin-Yi International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City24301 Taiwan Research Center for Intelligent Medical Devices Ming Chi University of Technology New Taipei City24301 Taiwan Department of Physics Fu Jen Catholic University New Taipei City24205 Taiwan Bone and Joint Research Center Department of Orthopedic Surgery Chang Gung Memorial Hospital Taoyuan City33305 Taiwan Department of Mechanical Engineering Chang Gung University Taoyuan City33302 Taiwan Department of Physics Silliman University Dumaguete City6200 Philippines

This study combines 3D printing, anodic oxidation (AO), and electrophoretic deposition (ED) technologies to develop Ti-6Al-4V alloy (abbreviated as Ti64) with high hydrophilicity, adhesion, and bioactivity. Titanium oxide nanotubes formed by AO treatment on the Ti64 surface exhibited reduced contact angles from 53 ° to 10 °. The adhesion of the calcium (Ca) layer through the integrated technology of the AO and ED treatments (herein abbreviated as AED) displays an optimal adhesive force of over 30 N on the Ti64 surface, which is attributed to the stable chemical bond due to the formation of OH− ions on the substrate after the AO treatment and the subsequent oxidation reaction of the Ca2+ ions to form a predominantly Ca(OH)2 layer after the ED treatment. Moreover, the AED treatment forms tiny needle-like structures that can effectively promote osteogenic differentiation. The expressions of the osteocyte marker genes (i.e., OCN, OPN, and DMP1) were improved after the AED treatment, showing increased osteogenic differentiation into mature bone tissue. This work presents the AED treatment as a valuable surface modification technique to boost the surface bioactivity of Ti64 for clinical orthopedic applications. © 2025

关键词： Anodic oxidation

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Investigation of the cap layer for improved GeSn multiple quantum well laser performance

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Optics Letters 2023年第7期48卷 1626-1629页

作者： Abernathy, Grey Ojo, Solomon Stanchu, Hryhorii Zhou, Yiyin Olorunsola, Oluwatobi Grant, Joshua Du, Wei Jheng, Yue-Tong Chang, Guo-En Li, Baohua Yu, Shui-Qing Department of Electrical Engineering University of Arkansas FayettevilleAR72701 United States Materials Science & Engineering Program University of Arkansas FayettevilleAR72701 United States Institute for Nanoscience and Engineering University of Arkansas FayettevilleAR72701 United States Department of Mechanical Engineering National Chung Cheng University Chiayi County62102 Taiwan Arktonics LLC 1339 South Pinnacle Drive FayettevilleAR72701 United States

The study of all-group-IV SiGeSn lasers has opened a new avenue to Si-based light sources. SiGeSn heterostructure and quantum well lasers have been successfully demonstrated in the past few years. It has been reported that, for multiple quantum well lasers, the optical confinement factor plays an important role in the net modal gain. In previous studies, adding a cap layer was proposed to increase the optical mode overlap with the active region and thereby improve the optical confinement factor of Fabry–Perot cavity lasers. In this work, SiGeSn/GeSn multiple quantum well (4-well) devices with various cap layer thicknesses, i.e., 0 (no cap), 190, 250, and 290 nm, are grown using a chemical vapor deposition reactor and characterized via optical pumping. While no-cap and thinner-cap devices only show spontaneous emission, the two thicker-cap devices exhibit lasing up to 77 K, with an emission peak at 2440 nm and a threshold of 214 kW/cm2 (250 nm cap device). The clear trend in device performance disclosed in this work provides guidance in device design for electrically injected SiGeSn quantum well lasers. © 2023 Optica Publishing Group.

关键词： Semiconductor quantum wells

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Systematic comparison between a research-grade EEG device and a consumer-grade BCI device for predicting consumer preference using an ML framework

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Multimedia Tools and Applications 2025年 1-19页

作者： Ishtiaque, Farhan Miya, Mohammad Tohidul Islam Mashrur, Fazla Rabbi Rahman, Khandoker Mahmudur Vaidyanathan, Ravi Anwar, Syed Ferhat Sarker, Farhana Tat, Huam Hon Hamid, Abu Bakar Abdul Mamun, Khondaker A. AIMS Lab IIRIC UIU Dhaka Bangladesh School of Business and Economics United International University Dhaka Bangladesh Department of Biomedical Engineering University of Rochester RochesterNY United States Department of Mechanical Engineering Imperial College London London United Kingdom Office of the Vice Chancellor BRAC University Dhaka Bangladesh and Department of Computer Science and Engineering Independent University Bangladesh Dhaka Bangladesh Faculty of Business City University of Macau Taipa China Faculty of Business Information & Human Sciences Infrastructure University Kuala Lumpur Kuala Lumpur Malaysia Department of CSE United International University Dhaka Bangladesh

Evaluation of marketing stimuli such as static advertisements, video advertisements, promotions, etc. is an important part of marketing research. Traditionally, the evaluation is done through large surveys, focus group discussions, questioner-based surveys, etc. However, these methods are time-consuming and expensive. Here, neuromarketing offers a solution that can improve marketing research. Recently, several EEG-based neuromarketing studies proved the potential of neuromarketing as a marketing research tool. However, most of these researchers used research-grade EEG devices. Research-grade EEG devices are bulky and require high setup time. This is why, despite much successful research, the technology is yet to be implemented on a day-to-day basis. On the other hand, consumer-grade BCI devices are cheap, wearable, and offer little to no setup time. So, it is ideal for day-to-day implementation. However, consumer-grade BCI lacks in terms of signal quality and available channel number, and it has not been widely tested in neuromarketing. So, in this study, we compared a research-grade EEG device and a consumer-grade BCI device for consumers’ preference prediction using a machine learning framework. We designed an experiment to record participants' EEG data while they were shown marketing stimuli. Their response has been taken as affective attitude (AA) purchase intention (PI). After that, binary classification was performed. We achieved 80.71% and 82.07% accuracy for predicting purchase intention and affective attitude using the research-grade EEG device, whereas it was 78.31% and 81.23% using the consumer-grade BCI device. These findings prove that consumer-grade BCI can be a viable option for day-to-day usage in neuromarketing. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

关键词： Sales

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Challenges and Opportunities Modeling the Dynamic Tumor Matrisome

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biomedical engineering Frontiers 2023年第1期4卷 239-246页

作者： Shelly R.Peyton Manu O.Platt Edna Cukierman Department of Chemical Engineering University of Massachusetts AmherstAmherstMAUSA Coulter Department of Biomedical Engineering Georgia Institute of Technology and Emory UniversityAtlantaGAUSA Cancer Signaling&Microenvironment Program Marvin and Concetta Greenberg Pancreatic Cancer Institute.Fox Chase Cancer CenterTemple HealthPhiladelphiaPAUSA

We need novel strategies to target the complexity of cancer and,particularly,of metastatic *** an example of this complexity,certain tissues are particularly hospitable environments for metastases,whereas others do not contain fertile microenvironments to support cancer cell *** evidence that the extracellular matrix(ECM)of tissues is one of a host of factors necessary to support cancer cell growth at both primary and secondary tissue sites is *** on cancer metastasis has largely been focused on the molecular adaptations of tumor cells in various cytokine and growth factor environments on 2-dimensional tissue culture polystyrene *** imaging,conversely,has transformed our ability to watch,in real time,tumor cell invasion,intravasation,extravasation,and *** the interstitial ECM that supports all cells in the tumor microenvironment changes over time scales outside the possible window of typical intravital imaging,bioengineers are continuously developing both simple and sophisticated in vitro controlled environments to study tumor(and other)cell interactions with this *** this perspective,we focus on the cellular unit responsible for upholding the pathologic homeostasis of tumor-bearing organs,cancer-associated fibroblasts(CAFs),and their selfgenerated *** latter,together with tumoral and other cell secreted factors,constitute the“tumor matrisome”.We share the challenges and opportunities for modeling this dynamic CAF/ECM unit,the tools and techniques available,and how the tumor matrisome is remodeled(e.g.,via ECM proteases).We posit that increasing information on tumor matrisome dynamics may lead the field to alternative strategies for personalized medicine outside genomics.

关键词： invasion organs environments

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Comparative Study of Deep Learning LSTM and 1D-CNN Models for Real-time Flood Prediction in Red River of the North, USA

Comparative Study of Deep Learning LSTM and 1D-CNN Models fo...

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2023 IEEE International Conference on Electro Information Technology, eIT 2023

作者： Atashi, Vida Kardan, Ramtin Gorji, Hamed Taheri Lim, Yeo Howe University of North Dakota Department of Civil Engineering Grand ForksND58202 United States University of North Dakota Department of Mechanical Engineering Grand ForksND58202 United States University of North Dakota Department of Biomedical Engineering Grand ForksND58202 United States

ISBN: (纸本)9781665493765

The Red River of the North has a history of flooding, dating back to the late 1800s. Flooding in the Red River is caused by a combination of factors, including heavy snowfall, heavy spring rainfall, and poor drainage in the flat terrain of the Red River basin. In recent years, efforts have been made to improve flood forecasting accuracy through numerical and experimental models. An LSTM (Long Short-Term Memory) model and the most popular 1D convolutional neural network (1D-CNN) are introduced in this study to predict floods in the Red River of the North by analyzing past streamflow data and identifying patterns and trends. Based on a fitted model using trained data from 1994 to 2021 at the Grand Forks USGS station on the Red River, USA, the streamflow for 2022 was predicted, including a 16.5-year return period flood. According to the study's findings, the RMSE for the 1D-CNN method is 193.09 cfs, whereas the RMSE for the LSTM method is 76.23 cfs for the Grand Forks station which demonstrates that shows LSTM outperforms 1D-CNN in predicting flood events at the USGS Grand Forks Station. © 2023 IEEE.

关键词： Neural network models

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Modeling and Simulation of an Assistive Exoskeleton Leg System With Knee Osteoarthritis and Quadriceps Weakness

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Journal of engineering and Science in Medical Diagnostics and Therapy 2022年第1期5卷 011009页

作者： Iscan, Mehmet Yilmaz, Cuneyt Vural, Berkem Eken, Huseyin Department of Mechanical Engineering Yildiz Technical University Istanbul34349 Turkey Department of Biomedical Engineering Politecnico di Milano Milano20133 Italy The BioRobotics Institute Scuola Superiore Sant'Anna Pisa56127 Italy

The most common human locomotion problems such as quadriceps weakness, knee osteoarthritis can be healed up by using exoskeleton mechanisms with proper control systems. However, these kinds of abnormalities cannot be easily modeled in terms of engineering perspectives due to a lack of adequate data or unknown dynamics. Also, nature always seeks minimum energy as well as biology, which means that the unknown dynamics can be built by using this phenomenon. In this study, a new system dynamic model had been involved in designing a simple single-legged exoskeleton robot mechanism and its control system to assist partially disabled individuals to improve their quality of locomotion. To determine the specific features of the human gait disorders to interpret their nature in the computer-aided simulation environment, knee osteoarthritis, and quadriceps weakness, which are the common types of such problems, have been chosen as the main interests for this study. By using the lower limb model with anthropometric data, the simulations of disorders have been realized on MATLAB SIMSCAPE environment, which enables us to model the entire exoskeleton system with the three-dimensional parts of the human body. A model of a leg with the disorder was able to be obtained with the utilization of feedback linearization, which is one of the examples of minimum principles in the control theory. A proper gait cycle is achieved with the exoskeleton application and separately for the leg, with approximately 10 deg deviation from the natural property in knee flexion. Finally, it can be seen that the system conversion into such problematic cases with or without an exoskeleton system is accomplished. © 2022 American Society of mechanical Engineers (ASME). All rights reserved.

关键词： MATLAB

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Enhancing Facility Safety for Autonomous Gas Inspection Drones Leveraging Convolutional Neural Networks and loT Technology 11

Enhancing Facility Safety for Autonomous Gas Inspection Dron...

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11th International Conference on Reliability, Infocom Technologies and Optimization, ICRITO 2024

作者： Latha, S. Asha, P. Srinivasan, V. Prasanna Elangovan, K. Thamizhamuthu, R. Sujatha, S. Department of Biotechnology Tamil Nadu Salem India Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India R.M.D. Engineering College Department of Information Technology Tamil Nadu Chennai India Dhanalakshmi Srinivasan Engineering College Department of Mechanical Engineering Tamil Nadu Chennai India Srm Institute of Science and Technology Department of Computing Technologies Tamil Nadu Chennai India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Biomedical Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350350357

To increase facility safety by integrating autonomous gas inspection drones with Convolutional Neural Networks (CNNs) and Internet of Things (loT) technologies. Due to their ability to reach difficult situations, unmanned aerial vehicles are increasingly used for gas inspection in industry. However, drone safety and gas detection accuracy remain major issues. It offers a comprehensive method that uses CNN s for real-time image analysis and classification to help the drone locate gas leaks with high accuracy. CNN is trained on a broad dataset of gas leak situations and environmental conditions. loT technology also allows the drone and centralized monitoring system to communicate in real-time for data sharing and decision-making. Our method can adjust to changing lighting and weather and discriminate between innocuous abnormalities and gas leaks. Advanced navigation algorithms let the drone traverse complicated industrial sites while avoiding obstacles and maximizing coverage. Experimental findings show the suggested technology improves facility safety by lowering gas leak reaction times and operator risk. CNNs with loT technologies increase gas leak detection and allow proactive maintenance, improving industrial facility safety and efficiency. It advances autonomous systems for industrial applications by tackling gas inspection safety problems. The suggested framework lays the groundwork for integrating innovative technology to improve autonomous gas inspection drone capabilities and safety. © 2024 IEEE.

关键词： Gases

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