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3rd International Conference on Chemical engineering and Applied Sciences, ICChEAS 2022

作者： Aprilia, Sri Rosnelly, Cut Meurah Zuhra Fitriani, Fitriani Haffiz Akbar, Emir Raqib, Muhammad Rahmah, Khairul Amin, Amri Baity, Rima Aidi Department of Chemical Engineering Engineering Faculty Universitas Syiah Kuala Banda Aceh23111 Indonesia Doctoral Program School of Engineering Post Graduate Program Universitas Syiah Kuala Banda Aceh23111 Indonesia Mechanical Engineering Department Engineering Faculty University of Abulyatama Lampoh Keude-Aceh Besar Indonesia

In this study, silica extraction from RHA (rice husk ash) has been successfully performed by alkaline using KOH and NaOH with sol-gel precipitation. The silica gel was characterized for the functional group by FTIR, crystallinity with XRD, structure silica with SEM and particle size with PSA. The results show the higher concentration of solvent led to higher silica. The FTIR analysis revealed vibrations of Si-O and Si-O-Si on the product. Additionally, observed to be amorphous and aggregated, the silica extracted from RHA also exhibited a decrease in all samples. © 2023 Elsevier Ltd. All rights reserved.

关键词： Sodium hydroxide

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A NITROCELLULOSE PAPER-BASED MULTI-WELL PLATE FOR POINT-OF-CARE ELISA 26

A NITROCELLULOSE PAPER-BASED MULTI-WELL PLATE FOR POINT-OF-C...

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

作者： Qin, Zhen Huang, Zongjie Pan, Peng Pan, Yueyue Sun, Yu Liu, Xinyu Department of Mechanical and Industrial Engineering University of Toronto Canada Institute of Biomedical Engineering University of Toronto Canada

ISBN: (纸本)9781733419048

This work reports a nitrocellulose (NC) paper-based multi-well plate for performing enzyme-linked immunosorbent assays (ELISAs). The NC plate is fabricated through a one-step laser cutting process, which is highly flexible for customizing the plate dimensions. Proof-of-demonstration experiments were performed on the NC plate, including direct ELISA of rabbit IgG with a limit of detection (LOD) of 1.016 μg/mL and sandwich ELISA of sperm protein-10 (SP-10) with a LOD of 88.8 ng/mL. This work provides a low-cost NC paper-based platform for point-of-care ELISA. © 2022 MicroTAS 2022 - 26th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

关键词： Enzymes

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Enhancement of performance and operating system of Osteoporosis screening machine by optical technique and Artificial Intelligence 15

Enhancement of performance and operating system of Osteoporo...

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15th biomedical engineering International Conference, BMEiCON 2023

作者： Limkatanyoo, Inthat Khantachawana, Anak King Mongkut's University of Technology Department of Biological Engineering Program Bangkok Thailand King Mongkut's University of Technology Department of Mechanical Engineering Bangkok Thailand

ISBN: (纸本)9798350345247

Optical Bone Densitometry has been introduced to the world as it serves screening task for osteoporosis which significantly save individual cost and time spent. In this report, we aim to diagnosis and analyze errors occur from this device in many perspectives included with determine acceptable range of percentage error, precision testing, device calibration, and effect of environmental light. Our findings show that there are some devices that have high percentage errors than acceptable value at 15% which environmental light significantly affect outcome, and it is suitable to select material for calibration which has similar properties to human bone as much as possible due to device 's principle. © 2023 IEEE.

关键词： Calibration

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An Analytical Methodology for Controlling Hepatitis B Virus Infection with Uncertain Patient Parameters 4th

An Analytical Methodology for Controlling Hepatitis B Virus ...

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4th International Conference on Reliable Systems engineering, ICoRSE 2024

作者： Al-Bakri, Fawaz F. Ali, Hasan H. Al Humaish, Saif Subhy Hamed Khafaji, Salwan Obaid Waheed Department of Biomedical Engineering College of Engineering University of Babylon Babylon Iraq Directorate of Studies Planning and Follow-Up Ministry of Higher Education and Scientific Research Baghdad Iraq College of Medicine University of Warith Al-Anbiyaa Karbala Iraq Department of Mechanical Engineering College of Engineering University of Babylon Babylon Iraq

ISBN: (纸本)9783031706691

Chronic hepatitis B virus (HBV) infection is a severe healthcare problem from which many people around the world suffer. Although the current treatment methods may succeed in suppressing the viral load of hepatitis B, long-term viral treatment still represents a challenge. In this paper, a novel analytical controller that is based on the system dynamic model was utilized for the purpose of achieving effective treatment of HBV infection. To implement the proposed algorithm, two second-order polynomial functions for infected cells and free viruses were introduced. These functions consist of time as a single independent variable. The six polynomial coefficients were determined by satisfying the initial, mid, and final states for both uninfected cells and free virus while iterating on a single free parameter which the time between the initial and final times to achieve the cost function. Then, the proposed approach method was validated under nominal and off-nominal patient parameters using Monte-Carlo simulation method. The results show that the analytical controller is enormously able to block the new viral infection and to inhibit the viral production in the presence of patient parameters dispersion. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Cost functions

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A study on collagen-PVA and chitosan-PVA nanofibrous matrix for wound dressing application

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Materials Today: Proceedings 2022年 56卷 1347-1350页

作者： Arun Karthick, S. Ragavi, T.K. Naresh, K. Rama Sreekanth, P.S. Feynman Nano Laboratory Department of Biomedical Engineering Sri Sivasubramaniya Nadar College of Engineering Chennai603110 India Department of Mechanical Engineering Indian Institute of Technology Madras Chennai600036 India Department of Aerospace Engineering Khalifa University of Science and Technology Abu Dhabi United Arab Emirates School of Mechanical Engineering VIT-AP University Amaravati522237 India

The present study focuses on the development of fish scale extracted Collagen/PVA (FCO-PVA) & commercial Chitosan/PVA (CH-PVA) nanofibrous matrix by electrospinning method for wound dressing application and aims to compare the properties of FCO-PVA verses CH-PVA. First, FCO was prepared from tilapia fish scales and characterized using UV–Visible spectrophotometer. Further, individual stock solutions of 2 wt% FCO in acetic acid, 2 wt% of CH in acetic acid and 10 wt% of PVA in D.W. were prepared. Later, three blended solutions of FCO-PVA & CH-PVA were prepared in the ratio 9:1, 8:2, & 7:3 respectively and electrospun to obtain nanofibrous wound dressing. FTIR was used to analyse the interactions between the functional groups of FCO. The developed nanofibrous matrix was subjected to SEM, mechanical testing, moisture vapour transmission rate (MVTR) and antibacterial test. Both FCO-PVA & CH-PVA scaffolds unveiled good antibacterial activity against both E. coli and S. aureus. The prepared wound dressing showed a maximum tensile strength of 12 MPa which lies in the range of ideal mechanical strength. MVTR result of FCO-PVA showed that the nanofibrous matrix will provide a suitable environment to the wound bed. These results suggest that the prepared nanofibrous wound dressing could serve as a capable wound dressing material. © 2022

关键词： Collagen

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Corrigendum to "Effect of cell imprinting on viability and drug susceptibility of breast cancer cells to doxorubicin" [Acta Biomaterialia, 2020, 113, 119-129] (Acta Biomaterialia (2020) 113 (119–129), (S1742706120303287), (10.1016/***.2020.06.007))

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Acta Biomaterialia 2025年 198卷 571-572页

作者： Shahriyari, Fatemeh Janmaleki, Mohsen Sharifi, Shahriar Hesar, Milad Eyvazi Hoshian, Sasha Taghiabadi, Reza Razaghian, Ahmad Ghadiri, Majid Peirovi, Afshin Mahmoudi, Morteza Nezhad, Amir Sanati Khademhosseini, Ali Division of Engineering in Medicine Department of Medicine Brigham and Women's Hospital Harvard Medical School CambridgeMA United States Division of Health Sciences & Technology Harvard-Massachusetts Institute of Technology Massachusetts Institute of Technology CambridgeMA United States Department of Materials Engineering Faculty of Engineering Imam Khomeini International University Qazvin Iran Biomedical Engineering Graduate Program University of Calgary Canada Precision Health Program and Department of Radiology Michigan State University East LansingMI48824 United States RWTH Aachen University Templergraben 55 Aachen52062 Germany Department of Chemistry and Materials Science Aalto University School of Chemical Engineering Espoo Finland Department of Mechanical Engineering Faculty of Engineering Imam Khomeini International University Qazvin Iran Nano-Biotechnology Department Pasteur Institute of Iran Tehran Iran Departments of Bioengineering Chemical and Biomolecular Engineering and Radiological Sciences Center for Minimally Invasive Therapeutics California NanoSystems Institute University of California – Los Angeles Los AngelesCA United States Terasaki Institute for Biomedical Innovation Los AngelesCA United States

The authors regret to report that the images for panels h (Plain PDMS) and I (MCF7-imprinted PDMS) in Fig. 3 were mistakenly taken from the same dataset, resulting in the omission of the correct image in panel h for the Plain PDMS day 7 image. We sincerely apologize for this error. For an accurate representation, please see the corrected Fig. 3 provided here along with its original figure caption. This does not affect the validity of the statistical analyses or the overall conclusions drawn from the study. © 2025

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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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A Virtual Characterization of QUAD and DOUBLE-DOUBLE Laminates: Buckling Studies

A Virtual Characterization of QUAD and DOUBLE-DOUBLE Laminat...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Avila, Antonio F. Mapa, Lidianne P.P. Department of Mechanical Engineering Universidade Federal de Minas Gerais Belo Horizonte Minas Gerais31270-901 Brazil Mechanical Engineering Graduate Studies Program Universidade Federal de Minas Gerais Belo Horizonte Minas Gerais31270-901 Brazil

ISBN: (纸本)9781624107238

A new strategy for virtually designing and analyzing double-double laminates to resist buckling under uniaxial compression or in-plane shear conditions has been proposed. This approach combines the off-the-shelf method for carbon/epoxy prepregs with the master-ply concept. The off-the-shelf method utilizes unidirectional prepregs (0° and 90°) and non-crimped fabrics (±30°, ±45°, and 90°). The strength of this non-dimensional design strategy lies in its simplicity, requiring only two parameters: Tsai’s modulus and the number of repetitions. Results were compared with finite element analyses, showing good agreement in all cases. The double-double formulation not only provides higher buckling loads for both uniaxial compression and in-plane shear but also results in distinct buckling modes. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Buckling loads

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PERFUSION MODES AFFECT FIBROBLAST OVERGROWTH IN LONG-TERM MICROFLUIDIC VESSEL NETWORK CULTURE 26

PERFUSION MODES AFFECT FIBROBLAST OVERGROWTH IN LONG-TERM MI...

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

作者： Shao, Han Young, Edmond W.K. Department of Mechanical & Industrial Engineering University of Toronto Canada Institute of Biomedical Engineering University of Toronto Canada

ISBN: (纸本)9781733419048

Tissue engineered vasculature networks have a finite lifetime in culture that limits their application in creating more complex vascularized organs-on-chips models. A common problem observed in vessel network culture that limits culture time is fibroblast overgrowth out of the hydrogel. We examined the effect of two perfusion modes on fibroblast growth in a perfusable vessel network system and found that flow through perfusion channels can increase fibroblast overgrowth. Future studies to achieve long-term vessel cultures with perfusion should carefully evaluate different perfusion designs and their effect on all cell types in the multicellular vessel network system. © 2022 MicroTAS 2022 - 26th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

关键词： Fibroblasts

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An innovative acid-resistant elephant dung biochar powder for fermentative biohydrogen production improvement from food waste slurry

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International Journal of Hydrogen Energy 2025年 138卷 1263-1270页

作者： Pomdaeng, Prakaidao Chu, Chen-Yeon Masa-ad, Anchalee Ngamnurak, Phonsini Setthapun, Worajit Sintuya, Hathaithip Program of Mechanical and Aeronautical Engineering Feng Chia University Taiwan Institute of Green Products Feng Chia University Taiwan Chiang Mai Rajabhat University Thailand Department of Biology Technology Faculty of Technology Khon Kaen University Thailand

This research investigates the innovative application of elephant dung biochar derived from pyrolysis process as an enhancer for biohydrogen production from food waste by dark fermentation process. In this study, batch fermentation experiments have been performed with elephant dung biochar concentrations from 0 to 20 g/L. The highest yields of biogas and biohydrogen achieved were 83.33 and 12.41 mL/g COD, respectively, with the maximum hydrogen concentration reaching 21.79% at the biochar concentration of 10 g/L. Additionally, the total volatile fatty acids produced after fermentation amounted to 2204 mg/L. This study found that biochar can be used for buffering pH and enhancing metabolic processes on the pathway of VFAs to hydrogen, thereby contributing to improved hydrogen yields. This study has demonstrated that biochar produced from elephant dung can significantly improve hydrogen yield from food waste, while higher concentration of biochar may have inhibitory effects. © 2024 Hydrogen Energy Publications LLC

关键词： Biochar Dark fermentation Elephant dung Food waste Hydrogen production

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