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Machine Learning-Based Prediction of Corrosion Inhibition Efficiency of Expired Pharmaceuticals: Model Development and Application

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Journal of Bio- and Tribo-Corrosion 2025年第1期11卷 1-12页

作者： Putra, Dzaki Asari Surya Ardyansyah, Nibras Bahy Putranto, Nicholaus Verdhy Trisnapradika, Gustina Alfa Akrom, Muhamad Rustad, Supriadi Dipojono, Hermawan Kresno Maezono, Ryo Faculty of Computer Science Study Program in Informatics Engineering Universitas Dian Nuswantoro Semarang50131 Indonesia Research Center for Materials Informatics Faculty of Computer Science Universitas Dian Nuswantoro Semarang50131 Indonesia Quantum and Nano Technologies Research Group Faculty of Industrial Technology Institut Teknologi Bandung Bandung40132 Indonesia School of Information Science Japan Advanced Institute of Science and Technology Ishikawa923-1292 Japan

Corrosion poses a significant challenge in industries due to material degradation and high maintenance costs, making effective inhibitors essential. Recent studies suggest expired pharmaceuticals as alternative corrosion inhibitors, but identifying the most efficient compounds can be time-consuming. This study applies machine learning models, particularly Gradient Boosting Regressor (GBR), to predict corrosion inhibition efficiency (CIE). The developed model is integrated into a web-based application, enabling real-time, accurate CIE predictions. Results show GBR as the more precise model for predicting CIE, with low error rates. The streamlit-based web application offers a user-friendly platform, facilitating quick identification of suitable inhibitors. It is flexible, supporting analysis beyond corrosion inhibitors, and significantly enhances the efficiency of the evaluation process. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025.

关键词： Adversarial machine learning

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Object Detection by Tiny-YOLO on TurtleBot3 as an Educational Robot 4th

Object Detection by Tiny-YOLO on TurtleBot3 as an Educationa...

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4th International Conference on Communication and Intelligent Systems, ICCIS 2022

作者： Moezzi, Reza Saw, Adrian Bischoff, Stefan Cyrus, Jindrich Hlava, Jaroslav Institute for Nanomaterials Advanced Technologies and Innovation Technical University of Liberec Liberec Czech Republic Faculty of Mechatronics Informatics and Interdisciplinary Studies Technical University of Liberec Liberec Czech Republic Faculty of Electrical Engineering and Computer Science Görlitz University of Applied Sciences Zittau Germany

ISBN: (纸本)9789819923212

By the unceasing efforts of many scientists, machine learning algorithms are increasing quickly with an enhanced object detection performance for the explicit applications on specific devices. This paper investigates the operation of TurtleBot3 as an educational wheeled autonomous robot which Tiny-YOLO algorithm has been applied as a novel application on it. At first, the required knowledge about the kinematics and dynamics of a differential drive robot with constraints is studied, and a graph where the robot is working under some specific conditions is plotted. The robot operating system (ROS) and simultaneous localization and mapping (SLAM) of the TurtleBot3 have been explained. The robot is equipped with a LiDAR sensor and a camera embedded onto it as a sensor fusion SLAM for a more precise type of mapping. Finally, Tiny-YOLO as a machine learning algorithm for object detection is implemented based on the fact that Raspberry Pi could not handle the full YOLO due to its memory capacity limitation, and the results are discussed. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Robot Operating System

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Enabling light coupling between nanowires and low refractive index contrast optical waveguides towards scalable quantum circuits 28

Enabling light coupling between nanowires and low refractive...

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Integrated Optics: Devices, Materials, and technologies XXVIII 2024

作者： Tsintzos, Symeon I. Tsimvrakidis, Konstantinos Sinani, Alexandra Gates, James C. Elshaari, Ali W. Smith, Peter G. R. Zwiller, Val Riziotis, Christos Theoretical and Physical Chemistry Institute National Hellenic Research Foundation Athens11635 Greece Department of Informatics and Computer Engineering University of West Attica Egaleo12243 Greece Optoelectronics Research Centre University of Southampton SouthamptonSO17 1BJ United Kingdom Stockholm106 91 Sweden Institute for Advanced Modelling and Simulation University of Nicosia Nicosia2417 Cyprus Qubitech Quantum Technologies Chalandri Athens15231 Greece

ISBN: (纸本)9781510670389

A primary constraint in the major photonic integration platform of Silica-on-Silicon, especially when combined with fabrication approaches like Direct Laser Writing is the optical waveguides' low refractive index contrast, leading thus to limitations for efficient coupling with currently available state-of-the-art single photon emitters such as semiconductor nanowires with quantum dots (NWQD). We propose and demonstrate a novel approach to drastically enhance the light coupling between silica based Laser-written channel waveguides and NWQDs, by incorporating an optical microsphere in their intermediate space. It is demonstrated that the induced photonic nanojet action of a suitably designed microsphere illuminated by the NWQD, excites efficiently the channel waveguide's modes and can enable light coupling to a degree even above 50%. The proposed method is reasonably robust to imperfections and misalignments and could be implemented by current state-of-the-art micro/nano patterning techniques. It is anticipated that the practical implementation of the method will allow the integration of multiple quantum emitters in silica based hybrid integrated circuits thus enabling their scalability towards for quantum computing and sensing applications. © 2024 SPIE.

关键词： Silica

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Colloidal synthesis of lead chalcogenide/lead chalcohalide core/shell nanostructures and structural evolution

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Journal of Semiconductors 2025年第4期46卷 38-44页

作者： Yang Liu Kunyuan Lu Yujie Zhu Xudong Hu Yusheng Li Guozheng Shi Xingyu Zhou Lin Yuan Xiang Sun Xiaobo Ding Irfan Ullah Muhammad Qing Shen Zeke Liu Wanli Ma Institute of Functional Nano&Soft Materials(FUNSOM) Joint International Research Laboratory of Carbon-Based Functional Materials and DevicesSoochow UniversitySuzhou 215123China Jiangsu Key Laboratory of Advanced Negative Carbon Technologies Soochow UniversitySuzhou 215123China Faculty of Informatics and Engineering University of Electro-CommunicationsTokyo 182−8585Japan

Lead chalcohalides(PbYX,X=Cl,Br,I;Y=S,Se)is an extension of the classic Pb chalcogenides(PbY).Constructing the heterogeneous integration with PbYX and PbY material systems makes it possible to achieve significantly improved optoelectronic *** this work,we studied the effect of introducing halogen precursors on the structure of classical PbS nanocrystals(NCs)during the synthesis process and realized the preparation of PbS/Pb_(3)S_(2)X_(2) core/shell structure for the first *** core/shell structure can effectively improve their optical ***,our approach enables the synthesis of Pb_(3)S_(2)Br_(2) that had not yet been *** results not only provide valuable insights into the heterogeneous integration of PbYX and PbY materials to elevate material properties but also provide an effective method for further expanding the preparation of PbYX material systems.

关键词： lead chalcohalides lead chalcogenides PbS nanocrystal core/shell structure Pb_(3)S_(2)X_(2)nanocrystal

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Editorial:Special Topic on Federated Learning for IoT and Edge Computing

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ZTE Communications 2022年第3期20卷 1-2页

作者： PAN Yi CUI Laizhong CAI Zhipeng LI Wei Faculty of Computer Science and Control Engineering at Shenzhen Institute of Advanced Technology Chinese Academy of SciencesChina the Academy of the United Nations Sciences and Technology Organization Ukrainian Academy of Engineering Sciences American Institute for Medical and Biological Engineering Institute of Engineering Technology the College of Computer Science and Software Engineering at Shenzhen University China Department of Computer Science and the College of Business at Georgia State University USA the Center for Distributed and High Performance Computing School of Computer ScienceThe University of Sydney the Australia-China Joint Research Center on Energy Informatics and Demand Response Technologies

Recent years have witnessed the proliferation of Internet of Things(IoT),in which billions of devices are connected to the Internet,generating an overwhelming amount of *** is challenging and infeasible to transfer an... 详细信息

关键词： cloud generating data.

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VisualIE: Receipt-Based Information Extraction with a Novel Visual and Textual Approach

VisualIE: Receipt-Based Information Extraction with a Novel ...

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International Conference on Cyberworlds

作者： Hamza Gbada Karim Kalti Mohamed Ali Mahjoub Higher Institute of Informatics and Communication Technologies University of Sousse LATIS-Laboratory of Advanced Technology and Intelligent Systems National Engineering School of Sousse (ENISo) Sousse Tunisia Faculty of sciences of Monastir University of Monastir LATIS-Laboratory of Advanced Technology and Intelligent Systems National Engineering School of Sousse (ENISo) Monastir Tunisia LATIS-Laboratory of Advanced Technology and Intelligent Systems National Engineering School of Sousse (ENISo) Sousse Tunisia

Information extraction (IE) from a receipt-based document requires understanding the contextual and visual semantics of texts. However, prior studies have predominantly utilized pre-trained language models and Optical Character Recognition (OCR) engines to extract textual features from the document and conduct entity extraction. Besides, this paper presents a novel approach for information extraction from receipt-based documents by leveraging both visual and textual features. The proposed approach employs a convolutional neural network to capture visual features and a word embedding model to capture textual features. These features are then combined and fed into a fully connected layer for entity classification. The experimental results demonstrate that the proposed approach outperforms the baseline and achieves state-of-the-art results in information extraction from receipts.

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Natural Graphene Plasmonic Nano-Resonators for Highly Active Surface-Enhanced Raman Scattering Platforms

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Energy & Environmental Materials 2023年第5期6卷 269-280页

作者： Xiaoqiang Feng Zhiduo Liu Guanglin Zhang Shan Zhang Shuiping Huang Zhengyi He Genwang Wei Siwei Yang Yangguang Zhu Caichao Ye Cheng-Te Lin Guqiao Ding Gang Wang Department of Microelectronic Science and Engineering School of Physical Science andNingbo UniversityNingbo 315211China State Key Laboratory of Integrated Optoelectronics Institute of SemiconductorsChinese Academy of SciencesBeijing 100083China Academy for Advanced Interdisciplinary Studies&Guangdong Provincial Key Laboratory of Computational Science and Material Design Southern University of Science and TechnologyShenzhen 518055China Department of Materials Science and Engineering Southern University of Science and TechnologyShenzhen 518055China State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 200050China Key Laboratory of Marine Materials and Related Technologies Zhejiang Key Laboratory of Marine Materials and Protective TechnologiesNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo 315201China

Highly sensitive and uniform three-dimensional(3D)hybrid heterogeneous structures for use in surface-enhanced Raman scattering(SERS)experiments were fabricated by sequentially decorating high-quality,ultra-clean,graphene quantum dots(GQDs)and Ag nanoparticles(Ag-NPs)onto ***-difference time-domain calculations and scanning Kelvin probe microscopy were used to verify that the Ag-NPs/GQDs/3D-graphene system facilitates substantial electromagnetic enhancement(due to the occurrence of two kinds of"gaps"between the Ag-NPs that form 3D"hot spots")and additional chemical enhancement(in detecting someπ-conjugated molecules).The SERS mechanism was explored in further detail via experimental analysis and confirmed by performing theoretical *** large surface area of the 3D substrate(due to the large specific surface areas of the GQDs and 3D-graphene)results in a better enrichment effect which helps produce lower detection *** particular,the detection limits obtained using the Ag-NPs/GQDs/3D-graphene platform can reach 10^(-11)M for rhodamine 6G,10^(-10)M for methylene blue and dopamine,and 10^(-7)M for tetramethylthiuram disulfide and methyl parathion in apple juice(these are superior to most of the results reported using graphene-based SERS substrates).In summary,the 3D-platform Ag-NPs/GQDs/3D-graphene/Si shows outstanding SERS *** therefore has excellent application prospects in biochemical molecular detection and food safety monitoring.

关键词： Ag-NPs/GQDs/3D-graphene chemical enhancement dopamine Electromagnetic enhancement

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Wetland bird utilisation of ephemerally flooded rice paddies in late winter snowmelt season in central Japan

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Watershed Ecology and the Environment 2025年 7卷 178-186页

作者： Hisano, Masumi Deguchi, Shota Sannoh, Keinosuke Motomura, Ken Lin, Da-Li of Advanced Science and Engineering Hiroshima University 1-5-1 Kagamiyama Higashihiiroshima 739-8529 Japan of Informatics Kyoto University Yoshida-honmachi Sakyo Kyoto 606-8501 Japan of Agricultural and Life Sciences The University of Tokyo 1-1-1 Yayoi Tokyo Bunkyo 113-8657 Japan Fukui City Museum of Natural History 147 Asuwakami-cho Fukui 918-8006 Japan Nihonkai Eco Engineering Technologies 735-10 Kizu Toyama Takaoka 933-0857 Japan Board of Education Nakano City Hall 1-3-19 Miyoshi-cho Nakano Nagano 383-8614 Japan Taiwan Biodiversity Research Institute Ministry of Agriculture 1 Ming-Sheng East Road Jiji Nantou 552 Taiwan

This study highlights the importance of rice paddies in snow-rich regions of central Japan as habitat for wetland bird species during snow-melting late winter season. During the study period, we recorded seven wetland species, including waders, egrets, and waterfowls. The abundance and richness of these birds were not significantly associated with the patch size of rice paddies. However, bird abundance presented a marginally positive association with the coverage of open water bodies within the landscape, while species richness showed a marginal relationship with the distance to the nearest water body. Our findings suggest that snowmelt-created wetlands may provide functions as critical stopover sites for migratory birds along the East Asian-Australian Flyway, and that enhancing water features in agricultural landscapes may yield greater conservation benefits than simply modifying the patch size of agricultural wetlands. © 2025 The Authors

关键词： Agricultural landscape Artificial wetland Avifauna Community ecology Open water Wader Waterfowl

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Optimizing Droplet Coalescence Dynamics in Microchannels: A Comprehensive Study Using Response Surface Methodology and Machine Learning Algorithms

SSRN

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SSRN 2024年

作者： Javadpour, Seyed Morteza Kadivar, Erfan Zarneh, Zienab Heidary Kadivar, Ebrahim Gheibi, Mohammad Department of Mechanical Engineering University of Gonabad Gonabad Iran Department of Physics Shiraz University of Technology Shiraz71555-313 Iran Institute of Ship Technology Ocean Engineering and Transport Systems University of Duisburg-Essen Duisburg47057 Germany Institute for Nanomaterials Advanced Technologies and Innovation Technical University of Liberec Liberec46117 Czech Republic Faculty of Mechatronics Informatics and Interdisciplinary Studies Technical University of Liberec Liberec Czech Republic

Droplet coalescence in microchannels is a complex phenomenon influenced by various parameters such as droplet size, velocity, liquid surface tension, and droplet-droplet spacing. In this study, we thoroughly investigate the impact of these control parameters on droplet coalescence dynamics within a sudden expansion microchannel using two distinct numerical methods. Initially, we employ the boundary element method to solve the Brinkman integral equation, providing detailed insights into the underlying physics of droplet coalescence. Furthermore, we integrate Response Surface Methodology (RSM) to effectively optimize droplet coalescence dynamics, harnessing the power of machine learning algorithms. Our results showcase the efficacy of these computational techniques in enhancing experimental efficiency. Through rigorous evaluation utilizing Regression Coefficient and Mean Absolute Error metrics, we ascertain the accuracy of our estimations. Our findings highlight the significant influence of key parameters, specifically droplet diameter (D), viscosity (Vis), and width (W), as identified by droplet-droplet spacing (DD), velocity of the first droplet (VFD), and velocity of the second droplet (VBD), respectively. This comprehensive approach provides valuable insights into droplet coalescence phenomena and offers a robust framework for optimizing microfluidic systems. © 2024, The Authors. All rights reserved.

关键词： Coalescence

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Simultaneous electro/mechano/impedance myographic measurement of muscle activity 14

Simultaneous electro/mechano/impedance myographic measuremen...

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14th International Conference on advanced Semiconductor Devices and Microsystems, ASDAM 2022

作者： Vavrinsky, E. Polak, M. Stremy, M. Proks, D. Kopani, M. Zavodnik, T. Gasparek, K. Vitazkova, D. Kosnacova, H. Institute of Electronics and Photonics Slovak University of Technology Faculty of Electrical Engineering and Information Technology Bratislava81219 Slovakia Institute of Medical Physics Biophysics Informatics and Telemedicine Comenius University Faculty of Medicine Bratislava81272 Slovakia Advanced Progressive Technologies Institute Slovak University of Technology Faculty of Materials Science and Technology in Trnava Trnava91724 Slovakia Comenius University Faculty of Medicine Department of Simulation and Virtual Medical Education Bratislava81272 Slovakia Cancer Research Institute Biomedical Research Center Slovak Academy Sciences Department of Genetics Bratislava84505 Slovakia

ISBN: (数字)9781665469791

ISBN: (纸本)9781665469777

We used 3 approaches to measure muscle activity: electromyography (EMG), mechanomyography (MMG) and electroimpedance myography (EIM). In our work, we compared individual methods and the trends recorded by them. The use of only one Holter device, which simultaneously measured all the measurements performed, was unique. Thanks to this, we achieved original results, because we did not find another report where one device was used for simultaneous measurement of EMG, MMG and EIM. © 2022 IEEE.

关键词： Muscle

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