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  1. Article ; Online: Purine-Doped g-C

    Liu, Kai / You, Qi / Jawed, Rohil / Han, Dong / Miao, Yufei / Gu, Xiang / Dong, Junming / Butch, Christopher J / Wang, Yiqing

    ACS applied bio materials

    2024  

    Abstract: Protective masks are critical to impeding microorganism transmission but can propagate infection via pathogen buildup and face touching. To reduce this liability, we integrated electrospun photocatalytic graphitic carbon nitride (g- ... ...

    Abstract Protective masks are critical to impeding microorganism transmission but can propagate infection via pathogen buildup and face touching. To reduce this liability, we integrated electrospun photocatalytic graphitic carbon nitride (g-C
    Language English
    Publishing date 2024-04-15
    Publishing country United States
    Document type Journal Article
    ISSN 2576-6422
    ISSN (online) 2576-6422
    DOI 10.1021/acsabm.3c01288
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Accurate categorization and rapid pathological diagnosis correction with Micro-Raman technique in human lung adenocarcinoma infiltration level.

    Dai, Bo / Han, Dong / Miao, Yufei / Zhou, Yong / Hajiarbabi, Mohammadreza / Wang, Yiqing / Butch, Christopher J / Cai, Huiming / Hu, Jian

    Translational lung cancer research

    2024  Volume 13, Issue 4, Page(s) 885–900

    Abstract: Background: In the context of surgical interventions for lung adenocarcinoma (LADC), precise determination of the extent of LADC infiltration plays a pivotal role in shaping the surgeon's strategic approach to the procedure. The prevailing diagnostic ... ...

    Abstract Background: In the context of surgical interventions for lung adenocarcinoma (LADC), precise determination of the extent of LADC infiltration plays a pivotal role in shaping the surgeon's strategic approach to the procedure. The prevailing diagnostic standard involves the expeditious intraoperative pathological diagnosis of areas infiltrated by LADC. Nevertheless, current methodologies rely on the visual interpretation of tissue images by proficient pathologists, introducing an error margin of up to 15.6%.
    Methods: In this study, we investigated the utilization of Micro-Raman technique on isolated specimens of human LADC with the objective of formulating and validating a workflow for the pathological diagnosis of LADC featuring diverse degrees of infiltration. Our strategy encompasses a thorough pathological characterization of LADC, spanning different tissue types and levels of infiltration. Through the integration of Raman spectroscopy with advanced deep learning models for simultaneous diagnosis, this approach offers a swift, precise, and clinically relevant means of analysis.
    Results: The diagnostic performance of the convolutional neural network (CNN) model, coupled with the microscopic Raman technique, was found to be exceptional and consistent, surpassing the traditional support vector machine (SVM) model. The CNN model exhibited an area under the curve (AUC) value of 96.1% for effectively distinguishing normal tissue from LADC and an impressive 99.0% for discerning varying degrees of infiltration in LADCs. To comprehensively assess its clinical utility, Raman datasets from patients with intraoperative rapid pathologic diagnostic errors were utilized as test subjects and input into the established CNN model. The results underscored the substantial corrective capacity of the Micro-Raman technique, revealing a misdiagnosis correction rate exceeding 96% in all cases.
    Conclusions: Ultimately, our discoveries highlight the Micro-Raman technique's potential to augment the intraoperative diagnostic precision of LADC with varying levels of infiltration. And compared to the traditional SVM model, the CNN model has better generalization ability in diagnosing different infiltration levels. This method furnishes surgeons with an objective groundwork for making well-informed decisions concerning subsequent surgical plans.
    Language English
    Publishing date 2024-04-24
    Publishing country China
    Document type Journal Article
    ZDB-ID 2754335-3
    ISSN 2226-4477 ; 2218-6751
    ISSN (online) 2226-4477
    ISSN 2218-6751
    DOI 10.21037/tlcr-24-168
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Water Absorption, Hydrothermal Expansion, and Thermomechanical Properties of a Vinylester Resin for Fiber-Reinforced Polymer Composites Subjected to Water or Alkaline Solution Immersion.

    Yin, Xiaoli / Liu, Yancong / Miao, Yufei / Xian, Guijun

    Polymers

    2019  Volume 11, Issue 3

    Abstract: In the present paper, a vinyl ester (VE) resin, potentially used as a resin matrix for fiber-reinforced polymer (FRP) composite sucker rods in oil drilling, FRP bridge cables, or FRP marine structures, was investigated on its resistance to water and ... ...

    Abstract In the present paper, a vinyl ester (VE) resin, potentially used as a resin matrix for fiber-reinforced polymer (FRP) composite sucker rods in oil drilling, FRP bridge cables, or FRP marine structures, was investigated on its resistance to water and alkaline solution immersion in terms of water uptake, hydrothermal expansion, and mechanical properties. A two-stage diffusion model was applied to simulate the water uptake processes. Alkaline solution immersion led to a slightly higher mass loss (approx. 0.4%) compared to water immersion (approx. 0.23%) due to the hydrolysis and leaching of uncured small molecules (e.g., styrene). Water immersion caused the expansion of VE plates monitored with Fiber Bragg Grating (FBG). With the same water uptake, the expansion increased with immersion temperatures, which is attributed to the increased relaxation extent of the resin molecular networks. Although an obvious decrease of the glass transition temperatures (
    Language English
    Publishing date 2019-03-16
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2527146-5
    ISSN 2073-4360 ; 2073-4360
    ISSN (online) 2073-4360
    ISSN 2073-4360
    DOI 10.3390/polym11030505
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Book ; Online: Effects of Adopting Ultra-Fast Charging Stations in the San Francisco Bay Area

    Kalehbasti, Pouya Rezazadeh / Miao, Yufei / Forbes, Gregory Andrew

    2019  

    Abstract: Ultra-Fast Charging (UFC) is a rising technology that can shorten the time of charging an Electric Vehicle (EV) from hours to minutes. However, the power consumption characteristics of UFC bring new challenges to the existing power system, and its pros ... ...

    Abstract Ultra-Fast Charging (UFC) is a rising technology that can shorten the time of charging an Electric Vehicle (EV) from hours to minutes. However, the power consumption characteristics of UFC bring new challenges to the existing power system, and its pros and cons are yet to be studied. This project aims to set up a framework for studying the different aspects of substituting the normal non-residential EV chargers within the San Francisco Bay Area with Ultra-Fast Charging (UFC) stations. Three objectives were defined for three stakeholders involved in this simulation, namely: the EV user, the station owner, and the grid operator. The results show that, UFCs will significantly contribute to increase of peak load and power consumption during the peak demand period, which is an undesirable outcome from grid operation perspective. Total electricity and operations and maintenance costs for station owner would increase subsequently, while this can be justified by analyzing the value of time (VOT) from an EV-user perspective. Additionally, peak-shaving using battery storage facilities is studied for complementing the applied technology change and mitigating the impacts of higher power consumption on the grid.

    Comment: 7 pages, 9 figures
    Keywords Electrical Engineering and Systems Science - Systems and Control
    Subject code 620
    Publishing date 2019-11-24
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: When floods hit the road: Resilience to flood-related traffic disruption in the San Francisco Bay Area and beyond.

    Kasmalkar, Indraneel G / Serafin, Katherine A / Miao, Yufei / Bick, I Avery / Ortolano, Leonard / Ouyang, Derek / Suckale, Jenny

    Science advances

    2020  Volume 6, Issue 32, Page(s) eaba2423

    Abstract: As sea level rises, urban traffic networks in low-lying coastal areas face increasing risks of flood disruptions. Closure of flooded roads causes employee absences and delays, creating cascading impacts to communities. We integrate a traffic model with ... ...

    Abstract As sea level rises, urban traffic networks in low-lying coastal areas face increasing risks of flood disruptions. Closure of flooded roads causes employee absences and delays, creating cascading impacts to communities. We integrate a traffic model with flood maps that represent potential combinations of storm surges, tides, seasonal cycles, interannual anomalies driven by large-scale climate variability such as the El Niño Southern Oscillation, and sea level rise. When identifying inundated roads, we propose corrections for potential biases arising from model integration. Our results for the San Francisco Bay Area show that employee absences are limited to the homes and workplaces within the areas of inundation, while delays propagate far inland. Communities with limited availability of alternate roads experience long delays irrespective of their proximity to the areas of inundation. We show that metric reach, a measure of road network density, is a better proxy for delays than flood exposure.
    Language English
    Publishing date 2020-08-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2810933-8
    ISSN 2375-2548 ; 2375-2548
    ISSN (online) 2375-2548
    ISSN 2375-2548
    DOI 10.1126/sciadv.aba2423
    Database MEDical Literature Analysis and Retrieval System OnLINE

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