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Cross-system biological image quality enhancement based on the generative adversarial network as a foundation for establishing a multi-institute microscopy cooperative network

arXiv

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arXiv 2024年

作者： Panek, Dominik Rząca, Carina Szczypior, Maksymilian Sorysz, Joanna Misztal, Krzysztof Baster, Zbigniew Rajfur, Zenon Doctoral School of Exact and Natural Sciences Jagiellonian University ul. Lojasiewicza 11 Kraków30-348 Poland Department of Molecular and Interfacial Biophysics Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University ul. Lojasiewicza 11 Kraków30‑348 Poland Undergraduate Program in Biophysics Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University ul. Lojasiewicza 11 Kraków30‑348 Poland Undergraduate program in Biomedical Engineering Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering AGH University of Science and Technology Al. A. Mickiewicza 30 Building B-1 Kraków30-059 Poland Division of Computational Mathematics Faculty of Mathematics and Computer Science Jagiellonian University 6 Lojasiewicza St. Kraków Poland

High-quality fluorescence imaging of biological systems is limited by processes like photobleaching and phototoxicity, and also in many cases, by limited access to the latest generations of microscopes. Moreover, low temporal resolution can lead to a motion blur effect in living systems. Our work presents a deep learning (DL) generative-adversarial approach to the problem of obtaining high-quality (HQ) images based on their low-quality (LQ) equivalents. We propose a generative-adversarial network (GAN) for contrast transfer between two different separate microscopy systems: a confocal microscope (producing HQ images) and a wide-field fluorescence microscope (producing LQ images). Our model proves that such transfer is possible, allowing us to receive HQ-generated images characterized by low mean squared error (MSE) values, high structural similarity index (SSIM), and high peak signal-to-noise ratio (PSNR) values. For our best model in the case of comparing HQ-generated images and HQ-ground truth images, the median values of the metrics are 6·10-4, 0.9413, and 31.87, for MSE, SSIM, and PSNR, respectively. In contrast, in the case of comparison between LQ and HQ ground truth median values of the metrics are equal to 0.0071, 0.8304, and 21.48 for MSE, SSIM, and PSNR respectively. Therefore, we observe a significant increase ranging from 14% to 49% for SSIM and PSNR respectively. These results, together with other single-system cross-modality studies, provide proof of concept for further implementation of a cross-system biological image quality enhancement. © 2024, CC BY-SA.

关键词： Fluorescence imaging

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The effect of green supply chain management implementation to marketing performance through company competitiveness (study on paper industry in West Java)

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Journal of Physics: Conference Series 2018年第1期1013卷

作者： O Hijuzaman A Rahayu Kusnendi Management Science Doctoral Studies Program School of Graduate Studies Indonesia University of Education Depok Indonesia Industrial Engineering Program STT Wastukancana Purwakarta Indonesia

The purpose of this study was to determine and analyze the effect of direct and indirect implementation of Green Supply-Chain Management (GSCM) on the Performance Marketing and Competitiveness Mediation Paper Company in West Java province. Object This research is the paper company that existed in West Java Province, which amounts to 30 companies as well as a sample of research, while variables studied are Variable Green Supply- Chain Management, Company Competitiveness Variable and Variable of Paper Marketing Industry Performance in West Java Province. The method used SEM with Variance Based or Component Based with Software used is SmartPLS 3.0. On this research are identified that no effect of Competitiveness on Marketing Performance in Paper Companies in West Java Province.

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Experimental Instrumentation of Water Stage Monitoring Stations in Mountain Streams Bedrock Using Pressure Transducers

SSRN

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SSRN 2023年

作者： Quezada, Victor M. Hernandez Anguiano, Jesus Horacio Miranda, Raúl Padilla, Francisco Li, Yanmei Knappett, Peter S.K. Murrieta, Daniel Vázquez, Antonio Bian, Jianmin Doctoral Program of Water Science and Technology Engineering Division University of Guanajuato Guanajuato Guanajuato36000 Mexico Department of Mining Metallurgy and Geology Engineering University of Guanajuato Guanajuato Guanajuato36020 Mexico Department of Geomatics and Hydraulic Engineering University of Guanajuato Guanajuato Guanajuato36000 Mexico ETS of Engineering of Roads Canals and Ports University of La Coruña C. de Elviña 15071 Spain Department of Geology and Geophysics Texas A&M University College StationTX778432 United States Master Program of Water Science Engineering Division University of Guanajuato Guanajuato Guanajuato36000 Mexico Key Laboratory of Groundwater Resources and Environment Ministry of Education Jilin University Changchun130021 China College of New Energy and Environment Jilin University Changchun130021 China

This study presents a new method of installing non-vented pressure transducers with dataloggers to monitor river/streams stage in mountain areas. The installation was performed in the bedrock of the streams using a protective copper casing, next to streams natural control and without affecting their characteristics since it does not require infrastructure. This allowed the installation of 18 pressure transducers in areas with mining influence, urban and natural protected areas, among others. The results obtained show that the risks of damage to the pressure transducer due to extreme floods or vandalism are significantly reduced, and that it is possible to build monitoring stations using the natural section/channel controls or structure controls. The proposed method considerably reduces infrastructure and maintenance costs for stage monitoring, making it feasible to install in mountain rivers and streams with similar characteristics to those presented in this study. © 2023, The Authors. All rights reserved.

关键词： Pressure sensors

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The Influence of the Building Mass Configuration of Settlements around the UNNES Campus on Environmental Carrying Capacity

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IOP Conference Series: Earth and Environmental science 2021年第1期832卷

作者： T Prihanto E Purwanto E E Pandelaki Department of Engineering Architecture Semarang State University Indonesia Department Doctoral Program of Architecture and Urban Science Diponegoro University Indonesia

The impact of the development of the UNNES Campus in Sekaran, a suburb of Semarang City, has become a trigger for the growth of new activities which require the provision of new spaces, especially settlements. This phenomenon shows the growth of settlements that ignore the environment. This study aims to examine the influence of the building mass configuration of settlements around the UNNES Sekaran Campus on environmental carrying capacity as a buffer zone for Semarang City. This studi uses descriptive exploratory method which aims to describe the state of a phenomenon in the field. The results of this study are the influence of the building mass configuration of settelements on environmental carrying capacity. The configuration of the building mass that does not pay attention to rainwater infiltration and reduction of sun exposure has an impact on reducing the supporting capacity of the environment and reducing occupant comfort.

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Thermodynamic Analysis of Two-Phase Ejector as Expansion Device with Dual Evaporator Temperatures on Split Type Air Conditioning Systems

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IOP Conference Series: Materials science and engineering 2019年第1期494卷

作者： M E Arsana I G B Wijaya Kusuma M Sucipta I N Suamir Doctoral Engineering Science study Program Faculty of Engineering Udayana University Denpasar Bali Indonesia Mechanical Engineering Department Bali State Polytechnic Bali 80364 Indonesia

This paper presents a numerical and experimental study of increasing the performance coefficient (COP) of split AC (SAC) by reducing compressor work and increasing cooling capacity. Two phase ejector as an expansion device with a new design of dual evaporator temperature used. numerical methods apply the mathematical model developed in the EES software that is applied. Thermodynamic analysis is carried out to achieve ASHRAE Standard requirements for a minimum SAC with COP application of 3.5. The SAC system is filled with R-290 as a thermal fluid medium. Based on the simulation results a numerical model of the ejector is then produced and installed in a modified SAC system of cooling capacity of at least 9000 BTU/hour. An experimental test was conducted to investigate the actual performance of the ejector and its effect on the performance of the SAC system. The results showed that the two phase ejector with the new design of the dual evaporator temperature system was successful. When compared to standard split air conditioners using capillary tube expansion devices the tested ejector system contributes around 35% of power savings. The COP of the system can reach 5.5 which accounts for 39% of the increase in performance.

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Admission and Traffic Control Schemes Suitable for QoS Applications in WLAN Systems

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American Journal of Operations Research 2012年第3期2卷 382-390页

作者： Takefumi Hiraguri Takayuki Kimura Toshiyuki Ogawa Hiroshi Takase Akira Kishida Kentaro Nishimori Doctoral Program in Graduate School of Electrical Engineering Nippon Institute of Technology 4-1 Gakuendai Miyashiro Minami-Saitama Saitama Japan Graduate School of Science & Technology Niigata University 8010 Igarashi 2-nocho Nishi-ku Niigata Japan Nippon Institute of Technology 4-1 Gakuendai Miyashiro Minami-Saitama Saitama Japan NTT Access Network Service Systems Laboratories 1-1 Hikarinooka Yokosuka Kanagawa Japan

This paper proposes the use of admission and traffic control schemes for real-time applications. The admission control scheme determines the admission of high-priority real-time applications such as voice and video streams in terms of their bandwidth utilization time (medium time), whereas the traffic control scheme maintains the communication quality of applications permitted admission by restricting other traffic. Owing to the use of contention-based access, a conventional scheme without admission control will degrade the communication quality when the number of terminals using high-priority applications increases. Moreover, only the capabilities (i.e., frame and sequence procedures) of admission control are defined in the IEEE 802.11e standard;the detailed usage in terms of the application characteristics is not specified, and it may be difficult to achieve a sufficient level of quality of service (QoS). The proposed schemes achieve the optimum QoS for actual services. The software used in the proposed schemes was implemented into hardware at the access point, and was evaluated experimentally. Based on the evaluation results, excellent performances with high QoS applications were obtained.

关键词： QoS IEEE 802.11 Admission Control Traffic Control EDCA

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Reducing dropout rate through a deep learning model for sustainable education: long-term tracking of learning outcomes of an undergraduate cohort from 2018 to 2021

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Smart Learning Environments 2023年第1期10卷 1-16页

作者： Shiao, Yi-Tzone Chen, Cheng-Huan Wu, Ke-Fei Chen, Bae-Ling Chou, Yu-Hui Wu, Trong-Neng Center of Institutional Research and Development Asia University Taichung City Taiwan ROC Department of Education National Taichung University of Education Taichung City Taiwan ROC Department of M-Commerce and Multimedia Applications Asia University Taichung City Taiwan ROC Department of Business Management National Taichung University of Science and Technology Taichung City Taiwan ROC Doctoral Program of Intelligent Engineering National Taichung University of Science and Technology Taichung City Taiwan ROC Department of Healthcare Administration Asia University Taichung City Taiwan ROC

In recent years, initiatives and the resulting application of precision education have been applied with increasing frequency in Taiwan; the accompanying discourse has focused on identifying potential applications for artificial intelligence and how to use learning analytics to improve teaching quality and learning outcomes. This study used the established dropout risk prediction model to improve student learning effectiveness. The model was based on the academic portfolios of past students and built with statistical learning and deep learning methods. This study used this model to predict the dropout risk of 2205 freshmen enrolled in the fall semester of 2018 (graduated in June 2022) in the field of sustainable education. A total of 176 students with a dropout risk of more than 20% were considered high-risk students. After tracking and the appropriate guidance, the dropout risk of 91 students fell from > 20% to < 20%. To discuss the results from the perspective of gender and financial disadvantages, the improvement rate of the dropout risk for male students was 10.2% better than that of female students at 2.9%. The improvement rate in dropout risk for students with disadvantageous financial situations was as high as 12.0%, surpassing the 5.9% rate among general students. Overall, the dropout rate in the second year of the 2018 freshman cohort was lower than that of the 2016 and 2017 freshman cohorts. A predictive model established by statistical learning and deep learning methods was used as a tool to promote precision education, accurately and efficiently identifying students who are having difficulty learning, as well as leading to a better understanding of AI (artificial intelligence) in smart learning for sustainable education.

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Geochemistry and the optics of geospatial analysis as a preposition of water quality on a macroscale

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Environmental science and Pollution Research 2024年第22期31卷 32614-32636页

作者： Lozano, Liliana P. Taleb, Manal F. Abou Ibrahim, Mohamed M. Gonçalves, Janaína O. Neckel, Alcindo Schmitz, Guilherme P. Bodah, Brian William Korcelski, Cleiton Maculan, Laércio Stolfo Silva, Luis F. O. Department of Civil and Environmental Engineering Universidad de La Costa CUC Calle 58 #55-66 Atlántico Barranquilla Colombia Postgraduate Doctoral Program in Society Nature and Development Universidade Federal Do Oeste Do Pará UFOPA Paraná68040-255 Brazil Department of Chemistry College of Science and Humanities in Al-Kharj Prince Sattam Bin Abdulaziz University Al-Kharj11942 Saudi Arabia Department of Chemistry College of Science Taif University Taif21944 Saudi Arabia ATITUS Educação RS Passo Fundo30499070-220 Brazil Universidade Do Minho UMINHO Porto4710-057 Portugal Thaines and Bodah Center for Education and Development 840 South Meadowlark Lane OthelloWA99344 United States Workforce Education & amp Applied Baccalaureate Programs Yakima Valley College South 16 Avenue & Nob Hill Boulevard YakimaWA98902 United States CDLAC—Data Collection Laboratory and Scientific Analysis LTDA Porto Alegre90670-090 Brazil

The water treatment depends exclusively on the identification of residues containing toxic chemical elements accumulated in NPs (nanoparticles), and ultrafine particles sourced from waste piles located at old, abandoned sulfuric acid factories containing phosphogypsum requires global attention. The general objective of this study is to quantify and analyze the hazardous chemical elements present in the leachate of waste from deactivated sulfuric acid factories, coupled in NPs and ultrafine particles, in the port region of the city of Imbituba, Santa Catarina, Brazil. Samples were collected in 2020, 2021, and 2022. Corresponding images from the Sentinel-3B OLCI satellite, taken in the same general vicinity, detected the levels of absorption coefficient of Detritus and Gelbstoff (ADG443_NN) in 443 m−1, chlorophyll-a (CHL_NN (m−3)), and total suspended matter (TSM_NN (g m−3) at 72 points on the marine coast of the port region. The results of inductively coupled plasma atomic-emission spectrometry (ICP-AES) and inductively coupled plasma mass spectrometry (ICP-MS) demonstrate that the leaching occurring in waste piles at the port area of Imbituba was the likely source of hazardous chemical elements (e.g., Mg, Sr, Nd, and Pr) in the environment. These leachates were formed due to the presence of coal pyrite and Fe-acid sulfates in said waste piles. The mobility of hazardous chemical elements potentiates changes in the marine ecosystem, in relation to ADG443_NN (m−1), CHL_NN (m−3), and TSM NN (g m−3), with values greater than 20 g m−3 found in 2021 and 2022. This indicated changes in the natural conditions of the marine ecosystem up to 30 km from the coast in the Atlantic Ocean, justifying public initiatives for water treatment on a global scale. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Nanoparticles

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A new method of terrain self-adaptive matching algorithm for autonomous underwater vehicle

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Journal of Physics: Conference Series 2019年第2期1237卷

作者： Xiong Lu Shen Jian Bi Xiaowen Department of Radar system OrdnanceNCO Academy of Army engineering university Wuhan 430075 China Post-doctoral program on control science and engineering Naval University of Engineering Wuhan 430033 China

As different underwater terrain features will affect the accuracy of unscented Kalman filter terrain matching algorithm, a new terrain self-adaptive matching method is proposed which adjusts sigma point distribution by terrain features. The connection between sigma point distribution distance and three basic terrain features were analysed. Positioning error range were calculated using navigation positioning errors and underwater digital map. Terrain elevation standard deviation was used to characterize the information quantity of decision region. Scaling parameter was adjusted using linear mapping method and sigma point distribution distance was determined by terrain features. The simulation results proved better terrain adaptability and positioning precision of improved self-adaptive matching algorithm.

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Research on Performance of Terrain Matching Algorithm for Underwater Autonomous Vehicle Based on Particle Filter

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IOP Conference Series: Materials science and engineering 2019年第1期692卷

作者： Shen Jian Xiong Lu Ba Ning Post-doctoral program on control science and engineering Naval University of Engineering Wuhan 430033 China Department of Radar system OrdnanceNCO Academy of Army engineering university Wuhan 430075 China

AUV is a powerful tool for exploration and development of marine resources. Underwater terrain matching navigation is an emerging passive autonomous navigation method, which improves the long-term and high-precision navigation capability of AUV. The underwater terrain matching algorithm based on particle filter (PF) use a large number of particle sampling to approximate the system state, which can avoid the Taylor expansion truncation error caused by the terrain linearization method, and has good matching precision and terrain adaptability. However, due to the strong nonlinearity and the uneven distribution of the underwater terrain features, it is difficult to achieve the full-range terrain matching optimize with a single configuration parameter of PF underwater terrain matching algorithm. For this reason, this paper has comprehensively studied the PF terrain matching algorithm (referred to as PF matching algorithm). The principle, accuracy and implementation steps of PF algorithm are analyzed. With the UKF algorithm as a reference, the advantages and disadvantages of PF-based algorithm are studied through computer simulation of terrain matching navigation. The matching precision and terrain adaptability of PF-based algorithm has been tested. From the simulation results, it is concluded that the particle diversity decline is one of the main factors affecting the matching performance, which provides a basis for algorithm performance improvement and engineering adaptability improvement.

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