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Corrigendum to "Predicting the micromechanics of embedded nerve fibers using a novel three-layered model of mouse distal colon and rectum" [J. Mech. Beha. Biomed. Mater. 127 (2022) 105083]

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Journal of the mechanical behavior of biomedical materials 2024年 154卷 106286页

作者： Amirhossein Shokrani Ashkan Almasi Bin Feng David M Pierce School of Mechanical Aerospace and Manufacturing Engineering University of Connecticut Storrs CT USA. Department of Biomedical Engineering University of Connecticut Storrs CT USA. School of Mechanical Aerospace and Manufacturing Engineering University of Connecticut Storrs CT USA Department of Biomedical Engineering University of Connecticut Storrs CT USA. Electronic address: david.pierce@uconn.edu.

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Highly efficient mRNA transfection with droplet cell squeezing for cellular engineering

Highly efficient mRNA transfection with droplet cell squeezi...

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IEEE International Conference on Nano/Molecular Medicine and engineering (NANOMED)

作者： Ju-Hee Lee Aram Chung Department of Bioengineering Korea University 02841 Seoul Republic of Korea Interdisciplinary Program in Precision Public Health (PPH) Korea University 02841 Seoul Republic of Korea School of Biomedical Engineering Korea University 02841 Seoul Republic of Korea MxT Biotech 04785 Seoul Republic of Korea

We present a novel droplet-based intracellular delivery platform for mRNA transfection. The platform leverages the use of two immiscible fluids to encapsulate a cell and external cargos within a single droplet. The formed droplets travel a narrow z-axis stepwise constriction, smaller than the cell diameter, exerting a physical opening of the cell membrane. Consequently, the platform enables highly effective internalization of cargo into the cell through a combination of diffusive and convective flow. The presented microfluidic approach offers high mRNA transfection efficiency (>98%) with nearly clog-free operation. These results highlight the platform’s potential as a next-generation microfluidics-based intracellular delivery system, showcasing its capacity to achieve both exceptional delivery efficiency and high-throughput capabilities for cell therapy applications.

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Effects of Polyoxymethylene Dimethyl Ether (PODEn) Blended Fuel on Diesel Engine Emission: Insight from Soot-Particle Aerosol Mass Spectrometry and Aethalometer Measurements

SSRN

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SSRN 2022年

作者： Ma, Mutian Rivellini, Laura-Hélèna Kasthuriarachchi, Nethmi Zhu, Qiren Zong, Yichen Yu, Wenbin Yang, Wenming Kraft, Markus Lee, Alex K.Y. School of Energy and Power Engineering Department of Civil and Environmental Engineering National University of Singapore Singapore NUS Environmental Research Institute National University of Singapore Singapore Department of Mechanical Engineering National University of Singapore Singapore Cambridge Centre of Advance Research and Education in Singapore Singapore School of Energy and Power Engineering Shandong University China School of Chemical and Biomedical Engineering Nanyang Technological University Singapore Department of Chemical Engineering and Biotechnology University of Cambridge United Kingdom Air Quality Processes Research Section Environment and Climate Change Canada TorontoON Canada

Polyoxymethylene Dimethyl Ether (PODE n ) is a promising diesel additive that can reduce particulate matter (PM) emission effectively, yet the changes in chemical and physical characteristics of PM emissions due to the application of PODE n -diesel blended fuel remain largely unexplored. This laboratory study investigates the effects of PODE 3 –diesel blended fuels (10, 20, and 30 vol% of PODE 3 mixed with diesel, denoted as P10, P20, and P30, respectively) on diesel engine emissions at 30% and 60% engine loads. Black carbon (BC) and organic aerosol (OA) were characterized in real time by a combination of a soot-particle aerosol mass spectrometer (SP-AMS) and a seven-wavelength aethalometer. Our results show that PODE 3 can significantly reduce both OA and BC emissions at both engine loads, with P20 producing the largest total PM mass reductions (> 84%). The changes in the contribution of refractory oxygenated fragments to BC mass (i.e., C 3 O 2 + /C 3 + and C 3 O + /C 3 + ) indicate that PODE 3 can reduce the functionality of soot surface/nanostructure. This is the first work showing that PODE 3 can affect the mixing state of BC and OA in diesel engine exhaust. Increasing PODE 3 blended volume can enhance the fraction contribution of BC-containing particles with a relatively thick OA coating that can potentially enhance the light absorption ability of soot particles. Lastly, the absorption Ångström exponent of BC (AAE BC ) can be enhanced with PODE 3 blended volume for both engine loads, and brown carbon (i.e., a light absorbing fraction of OA) can contribute up to ~5% to the total aerosol absorption at the wavelength of 370 nm. Overall, this work provides insights into the potential impacts of PODE n blended fuel application on the chemical and optical properties of BC and OA emitted from diesel engine combustion. © 2022, The Authors. All rights reserved.

关键词： Soot

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Effect of Precursor Composition and Heat-Treatment on the Morphology and Physical Properties of Ag Nanosponges

SSRN

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SSRN 2023年

作者： Alzahrani, Sanaa A. De Silva, Kaludewa S.B. Dowd, Annette Arnold, Matthew D. Cortie, Michael B. School of Mathematical and Physical Sciences University of Technology Sydney PO Box 123 UltimoNSW2007 Australia Department of Physics Al-Lith University College Umm Al-Qura University Makkah Saudi Arabia School of Mechanical Materials Mechatronic and Biomedical Engineering University of Wollongong Australia

Nanoporous silver was prepared by free corrosion de-alloying of Ag-Al films containing between 25 and 73 at.% Al. The precursor composition had a strong influence on the diameter of the metallic ligaments, pore density, optical properties, and electrical resistivity of the sponges. Ligament diameter decreased from 32 to 13 nm as the Al content increased with a concurrent increase in electrical resistivity from about 3×10-8 Ω.m to 30×10-8 Ω.m. Pore size remained in the range 11 to 15 nm. The volume fraction of metal was estimated to be of the order of 40±5%. Prior annealing of the precursor inhibited de-alloying. © 2023, The Authors. All rights reserved.

关键词： Aluminum alloys

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An electronic nose using a single graphene FET and machine learning for water, methanol, and ethanol

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Microsystems & Nanoengineering 2020年第1期6卷 969-981页

作者： Takeshi Hayasaka Albert Lin Vernalyn C.Copa Lorenzo P.Lopez Jr Regine A.Loberternos Laureen Ida M.Ballesteros Yoshihiro Kubota Yumeng Liu Arnel A.Salvador Liwei Lin Berkeley Sensor and Actuator Center&Department of Mechanical Engineering University of California at BerkeleyBerkeleyCA 94720USA Materials Science and Engineering Program College of ScienceUniversity of the Philippines Diliman1101 Quezon CityPhilippines National Institute of Physics College of ScienceUniversity of the Philippines Diliman1101 Quezon CityPhilippines

The poor gas selectivity problem has been a long-standing issue for miniaturized chemical-resistor gas *** electronic nose(e-nose)was proposed in the 1980s to tackle the selectivity issue,but it required top-down chemical functionalization processes to deposit multiple functional ***,we report a novel gas-sensing scheme using a single graphene field-effect transistor(GFET)and machine learning to realize gas selectivity under particular conditions by combining the unique properties of the GFET and e-nose *** of using multiple functional materials,the gas-sensing conductivity profiles of a GFET are recorded and decoupled into four distinctive physical properties and projected onto a feature space as 4D output vectors and classified to differentiated target gases by using machine-learning *** single-GFET approach coupled with trained pattern recognition algorithms was able to classify water,methanol,and ethanol vapors with high accuracy quantitatively when they were tested ***,the gas-sensing patterns of methanol were qualitatively distinguished from those of water vapor in a binary mixture condition,suggesting that the proposed scheme is capable of differentiating a gas from the realistic scenario of an ambient environment with background *** such,this work offers a new class of gas-sensing schemes using a single GFET without multiple functional materials toward miniaturized e-noses.

关键词： methanol selectivity electronic

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Hysteresis effect of shear flow field on migration velocity of cell: After and before division of L929 and 3T3-L1 24

Hysteresis effect of shear flow field on migration velocity ...

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24th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2020

作者： Hashimoto, Shigehiro Shimada, Kosuke Endo, Yuji Yonezawa, Hiroki Yoshinaka, Kiyoshi Biomedical Engineering Department of Mechanical Engineering Kogakuin University Tokyo163-8677 Japan Health and Medical Research Institute National Institute of Advanced Industrial Science and Technology Tsukuba305-8564 Japan

ISBN: (纸本)9781950492381

The effect of shear flow field on the migration of each cell has been investigated under Couette type shear flow field in vitro. The culture medium was sandwiched with a constant gap between a lower stationary culture plate and an upper rotating parallel plate to make a Couette type of shear flow. The wall shear stress (τ) on the lower culture disk was controlled by the rotating speed of the upper disk. Two types of cells were used in the test: L929 (mouse fibroblast connective tissue), and 3T3-L1 (mouse fat precursor cells). After cultivation without flow for 24 hours for adhesion of cells on the lower plate, τ = 1 Pa was continuously applied on cells for 7 days in the incubator. The behavior of each cell (before and after division) was traced at the time lapse image observed by an inverted phase contrast microscope placed in an incubator. The experimental results show that cells make division under shear stress of 1 Pa. Each cell makes wider variation of adhesion area (before and after division) in L929 than in 3T3-L1. Migration to perpendicular direction is more frequently at L929 than at 3T3-L1. Some cells of 3T3-L1 migrate downstream after division. © WMSCI 2020 - 24th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings. All rights reserved.

关键词： Shear stress

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Deep Learning-assisted 3D Segmentation and Analysis of Prostate Glands for Cancer Risk Stratification

Deep Learning-assisted 3D Segmentation and Analysis of Prost...

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Microscopy Histopathology and Analytics, Microscopy 2022

作者： Xie, Weisi Reder, Nicholas P. Koyuncu, Can Leo, Patrick Hawley, Sarah Huang, Hongyi Mao, Chenyi Postupna, Nadia Kang, Soyoung Serafin, Robert Gao, Gan Han, Qinghua Bishop, Kevin W. Barner, Lindsey A. Fu, Pingfu Wright, Jonathan L. Keene, C. Dirk Vaughan, Joshua C. Janowczyk, Andrew Glaser, Adam K. Madabhushi, Anant True, Lawrence D. Liu, Jonathan T.C. Department of Mechanical Engineering University of Washington SeattleWA United States Department of Laboratory Medicine and Pathology University of Washington SeattleWA United States Department of Biomedical Engineering Case Western Reserve University ClevelandOH United States Canary Foundation Palo AltoCA United States Department of Chemistry University of Washington SeattleWA United States Department of Bioengineering University of Washington SeattleWA United States Department of Population and Quantitative Health Sciences Case Western Reserve University ClevelandOH United States Department of Urology University of Washington SeattleWA United States Department of Physiology and Biophysics SeattleWA United States Department of Oncology Lausanne University Hospital and Lausanne University Lausanne Switzerland Louis Stokes Cleveland Veterans Administration Medical Center ClevelandOH United States

We developed an annotation-free deep learning-assisted segmentation strategy for 3D microscopy images of tissue stained with an H&E analog and show that non-destructive 3D pathology has the potential to enable sup... 详细信息

ISBN: (纸本)9781557528209

关键词： Risk assessment

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Enhancing mechanical properties and corrosion performance of AA6063 aluminum alloys through constrained groove pressing technique

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Transactions of Nonferrous Metals Society of China 2020年第7期30卷 1790-1802页

作者： Ren-jie FAN Shokouh ATTARILAR Mahmoud SHAMSBORHAN Mahmoud EBRAHIMI Ceren GODE Hatice VarolOZKAVAK Department of Mechanical Engineering Tongling Vocational and Technical CollegeTongling 244061China School of Metallurgy and Materials Engineering Iran University of Science and TechnologyTehranIran Department of Engineering Mahabad BranchIslamic Azad UniversityMahabadIran Department of Mechanical Engineering University of ZakhoZakhoKurdistan RegionIraq Department of Mechanical Engineering Faculty of EngineeringUniversity of MaraghehMaraghehIran School of Denizli Vocational Technology Program of MachinePamukkale UniversityDenizliTurkey Department of Mechanical and Metal Technology Technical Sciences Vocational SchoolIsparta University of Applied SciencesIspartaTurkey

The use of a constrained groove pressing(CGP) method to plastically deform AA6063 aluminum alloy led to the improved surface properties. It was found that hardness magnitude is dramatically improved and its uniformity is considerably decreased after the first pass, while subsequent passes result in better hardness behavior for the processed material. Also, the elongated grains formed in the first pass of the CGP are gradually converted to the equiaxed counterparts by adding pass numbers. Eventually, higher corrosion resistance of the sample by imposing the CGP process is related to the quick formation of passivation film and the change in the morphology of the second phase and precipitates which hinder their electrochemical reactions and decrease the potential localized attack sites.

关键词： mechanical properties corrosion resistance aluminum alloy constrained groove pressing technique grain refinement hardness distribution homogeneity

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Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss

arXiv

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arXiv 2022年

作者： Felfeliyan, Banafshe Hareendranathan, Abhilash Kuntze, Gregor Wichuk, Stephanie Forkert, Nils D. Jaremko, Jacob L. Ronsky, Janet L. Department of Biomedical Engineering University of Calgary CalgaryAB Canada McCaig Institute for Bone Joint Health University of Calgary CalgaryAB Canada Department of Radiology & Diagnostic Imaging University of Alberta EdmontonAB Canada University of Alberta EdmontonAB Canada Mechanical and Manufacturing Engineering University of Calgary Calgary Canada

Recent advances in deep learning algorithms have led to significant benefits for solving many medical image analysis problems. Training deep learning models commonly requires large datasets with expert-labeled annotations. However, acquiring expert-labeled annotation is not only expensive but also is subjective, error-prone, and inter-/intra- observer variability introduces noise to labels. This is particularly a problem when using deep learning models for segmenting medical images due to the ambiguous anatomical boundaries. Image-based medical diagnosis tools using deep learning models trained with incorrect segmentation labels can lead to false diagnoses and treatment suggestions. Multi-rater annotations might be better suited to train deep learning models with small training sets compared to single-rater annotations. The aim of this paper was to develop and evaluate a method to generate probabilistic labels based on multi-rater annotations and anatomical knowledge of the lesion features in MRI and a method to train segmentation models using probabilistic labels using normalized active-passive loss as a"noise-tolerant loss" function. The model was evaluated by comparing it to binary ground truth for 17 knees MRI scans for clinical segmentation and detection of bone marrow lesions (BML). The proposed method successfully improved precision 14, recall 22, and Dice score 8 percent compared to a binary cross-entropy loss function. Overall, the results of this work suggest that the proposed normalized active-passive loss using soft labels successfully mitigated the effects of noisy labels. © 2022, CC BY-NC-ND.

关键词： Diagnosis

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The Identification and Distribution Components of Polycyclic Aromatic Hydrocarbon Contaminants at the Port of Paotere, Makassar, South Sulawesi 1

The Identification and Distribution Components of Polycyclic...

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1st International Conference on Biotechnology and Food Sciences, INCOBIFS 2020

作者： Marzuki, I. Pratama, I. Ismail, H.E. Paserangi, I. Kamaruddin, M. Chaerul, M. Ahmad, R. Department of Chemical Engineering Fajar University Panakukang-Makassar South Sulawesi90231 Indonesia Department of Mechanical Engineering Fajar University Panakukang Makassar South Sulawesi90231 Indonesia Academy of Midwifery of Tahirah Al Baeti Bulukumba District South Sulawesi92513 Indonesia Program of Infrastructure and Environmental Engineering Fajar University Makassar South Sulawesi90231 Indonesia Department of Chemistry Faculty of Science and Technology Universitas Airlangga Kampus C-UNAIR Mulyorejo Surabaya East Java60115 Indonesia

The ASTM standard recommends that the 16 most common types of PAHs are found in petroleum processing activities, the chemical industry and marine loading ports. This research aims to identify and determine the distribution of PAHs contaminants at three sampling points of seawater around Paotere Port, Makassar, South Sulawesi, using the GC-MS instrument. Sampling point A is the center of Paotere Port activity, Point B with a radius of 3 km and point C with a radius of 6 km from the center of port activity. Sampling at each point was carry out at a depth of 100 cm above sea level. There are 10 PAHs identified at sampling point A and B, while at point C there are 8 components with relatively the same type of PAHs. The dominant PAHs components at each sampling point are relatively the same, namely at point A: Pyrene, Chrysene, Benz[a]pyrene and Dibenz(a,h)anthracene, point B: Pyrene, Chrysene and Benz(a)anthtracene, while at point C only Pyrene. The total concentration of PAHs at point A: 4,217 .106 ppm, medium polluted category, at point B: 2,124 .087 ppm, medium polluted category and at point C: 1,264 . 112 ppm, light polluted category. © Published under licence by IOP Publishing Ltd.

关键词： Pyrene

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